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ORCIDCoRR, May 2021
- Pablo Muñoz, Oriol Sallent, Jordi Pérez-Romero:
Self-Dimensioning and Planning of Small Cell Capacity in Multitenant 5G Networks. - Jakob Mökander, Luciano Floridi:
Ethics-Based Auditing to Develop Trustworthy AI. - Tim Krause, Raphael Ernst, Benedikt Klaer, Immanuel Hacker, Martin Henze
:
Cybersecurity in Power Grids: Challenges and Opportunities. - Mamoru Doi:
Negative 3D gadgets in origami extrusions with a supporting triangle on the back side. - Zeqi Li, Ruowei Jiang, Parham Aarabi:
Continuous Face Aging via Self-estimated Residual Age Embedding. - Antoine Allioux, Eric Finster, Matthieu Sozeau:
Types are Internal ∞-Groupoids. - Weile Wei, Eduardo F. D'Azevedo, Kevin A. Huck, Arghya Chatterjee, Oscar R. Hernandez, Hartmut Kaiser:
Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver. - Sara Lafia, Andrea K. Thomer, David A. Bleckley, Dharma Akmon, Libby Hemphill:
Leveraging Machine Learning to Detect Data Curation Activities. - Matthew Kolosick, Shravan Narayan, Conrad Watt, Michael LeMay, Deepak Garg, Ranjit Jhala, Deian Stefan:
Isolation Without Taxation: Near Zero Cost Transitions for SFI. - Ahmad Hesam, Lukas Breitwieser, Fons Rademakers, Zaid Al-Ars:
GPU Acceleration of 3D Agent-Based Biological Simulations. - Ramy Shahin, Sahar Kokaly, Marsha Chechik:
Towards Certified Analysis of Software Product Line Safety Cases. - Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
Submodular Mutual Information for Targeted Data Subset Selection. - Wojciech Czerwinski, Adam Jedrych:
Long Runs Imply Big Separators in Vector Addition Systems. - Gonçalo Raposo, Pedro Tomás, Nuno Roma:
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit. - Aolin Xu:
Anytime Decoding by Monte-Carlo Tree Search. - Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin:
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets. - Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan:
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization. - Tomaz Martincic, Dejan Stepec, João Pita Costa, Kristijan Cagran, Athanasios Chaldeakis:
Vessel and Port Efficiency Metrics through Validated AIS data. - Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. - Neil McGlohon, Christopher D. Carothers:
Unbiased Deterministic Total Ordering of Parallel Simulations with Simultaneous Events. - Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark. - Sayantan Chowdhury, Ben Liang, Ali Tizghadam, Ilijc Albanese:
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing. - Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld:
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users. - Ziming Li, Julia Kiseleva, Maarten de Rijke:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. - Haoyue Ping, Julia Stoyanovich:
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences. - Rafhael R. Cunha, Jomi Fred Hübner, Maiquel de Brito:
Coupling purposes with status-functions in artificial institutions. - Zhiyang Li, Ming Chen, Zhaohui Yang, Jingwen Zhao, Yinlu Wang, Jianfeng Shi, Chongwen Huang:
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks with NOMA. - Nikita Araslanov, Stefan Roth:
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation. - Marcus Saraiva, Avelino Forechi, Jorcy de Oliveira Neto, Antonio DelRey, Thomas Rauber:
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks. - Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu:
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. - Guangyi Zhang, Ali Etemad:
Distilling EEG Representations via Capsules for Affective Computing. - Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell:
Tensor Random Projection for Low Memory Dimension Reduction. - Daniela di Serafino, Germana Landi, Marco Viola:
Directional TGV-based image restoration under Poisson noise. - Hugh Chen, Scott M. Lundberg, Su-In Lee:
Explaining a Series of Models by Propagating Local Feature Attributions. - Paul Burkhardt:
Triangle Centrality. - Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang:
On the Hardness of Scheduling With Non-Uniform Communication Delays. - Yisroel Mirsky:
IPatch: A Remote Adversarial Patch. - Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun:
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. - James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon:
QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing. - Rabin Yu Acharya, Fatemeh Ganji, Domenic Forte:
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis. - Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran:
Lux: Always-on Visualization Recommendations for Exploratory Data Science. - Cosmin Pohoata, Dmitriy Zakharov:
On the trifference problem for linear codes. - Daniel Appelö, Kiera van der Sande, Nathan Albin:
Fourier Continuation Discontinuous Galerkin Methods for Linear Hyperbolic Problems. - Maha Riad, Fatemeh Golpayegani:
Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems. - Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos:
Sparse Pose Trajectory Completion. - José Eduardo Carvajal-Rubio, Juan Diego Sánchez-Torres, Michael Defoort, Mohamed Djemai, Alexander G. Loukianov:
On the Efficient Implementation of an Implicit Discrete-Time Differentiator. - Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition. - Tainã Coleman, Henri Casanova, Rafael Ferreira da Silva:
WfChef: Automated Generation of Accurate Scientific Workflow Generators. - Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. - Nikolay Ivanov, Jianzhi Lou, Ting Chen, Jin Li, Qiben Yan:
Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts. - Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua:
Semi-supervised Long-tailed Recognition using Alternate Sampling. - Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi:
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures. - Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li:
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering. - Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern:
Deep Convolution for Irregularly Sampled Temporal Point Clouds. - Tianci Huang, Matthew J. Zahr:
A robust, high-order implicit shock tracking method for simulation of complex, high-speed flows. - Yulei Liao, Pingbing Ming, Yun Xu:
A family of mixed finite elements for nearly incompressible strain gradient elastic models. - Chong Li, Lei Zhang, Serbiao Fang:
EntrapNet: a Blockchain-Based Verification Protocol for Trustless Computing. - Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Jun He, Xiaoyong Du:
SVT-Net: A Super Light-Weight Network for Large Scale Place Recognition using Sparse Voxel Transformers. - Yuta Koreeda, Christopher D. Manning:
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser. - Hiroshi Saito:
Theoretical Analysis for Determining Geographical Route of Cable Network with Various Disaster-Endurance Levels. - Yian Yin, Yuxiao Dong, Kuansan Wang, Dashun Wang, Benjamin F. Jones:
Science as a Public Good: Public Use and Funding of Science. - Kasra Mokhtari, Alan R. Wagner:
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network. - Mansour Naslcheraghi, Constant Wette, Brunilde Sansò:
Probabilistic Analysis of Operating Modes in Cache-Enabled Full-Duplex D2D Networks. - Charles X. Ling, Tanner A. Bohn:
A Deep Learning Framework for Lifelong Machine Learning. - Shuiwang Li, Qijun Zhao, Ziliang Feng, Li Lu:
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking. - Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero:
Generative Art Using Neural Visual Grammars and Dual Encoders. - Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Emil Björnson, Dimitrios Selimis, Wallace Alves Martins, Sergi Abadal, Angeliki Alexiou, Fotis I. Lazarakis, Steven Kisseleff, Symeon Chatzinotas:
Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting. - Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. - Yao-Fei Cheng, Hung-Shin Lee, Hsin-Min Wang:
AlloST: Low-resource Speech Translation without Source Transcription. - Daniel Szelogowski:
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers. - Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang:
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant. - Qing Yang, Hao Wang:
Distributed Energy Trading Management for Renewable Prosumers with HVAC and Energy Storage. - Qazwan Abdullah, Adeeb Salh, Nor Shahida Mohd Shah, Noorsaliza Abdullah, Lukman Audah, Shipun Anuar Hamzah, Nabil Farah, Maged Aboali, Shahilah Nordin:
A Brief Survey And Investigation Of Hybrid Beamforming For Millimeter Waves In 5G Massive MIMO Systems. - Jinghua Yu, Stefan Wagner, Bowen Wang, Feng Luo:
A systematic mapping study on security countermeasures of in-vehicle communication systems. - Shahroz Tariq, Sangyup Lee, Simon S. Woo:
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. - Uli Fahrenberg, Christian Johansen, Georg Struth, Krzysztof Ziemianski:
lr-Multisemigroups and Modal Convolution Algebras. - Ozan Özdenizci, Deniz Erdogmus:
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. - Bahar Uddin Mahmud, Afsana Sharmin:
Deep Insights of Deepfake Technology : A Review. - Hyungjin Chung, Jong Chul Ye:
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. - Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. - Xing Liu:
High-accuracy time discretization of stochastic fractional diffusion equation. - Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali, Syed Hamid Hasan, M. Afshar Alam:
Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators. - Nicoletta Fornara, Soheil Roshankish, Marco Colombetti:
A Framework for Automatic Monitoring of Norms that regulate Time Constrained Actions. - Safinah Arshad Ali, Nisha Devasia, Cynthia Breazeal:
Designing Games for Enabling Co-creation with Social Agents. - Michelangelo Acconcjaioco, Stavros Ntalampiras:
One-shot learning for acoustic identification of bird species in non-stationary environments. - Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Déforges:
Adversarial Example Detection for DNN Models: A Review. - Erwan Mahe, Christophe Gaston, Pascale Le Gall:
A structural operational semantics for interactions with a look at loops. - Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. - Serge Kas Hanna, Rawad Bitar:
Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy. - Pinar Uluer, Hatice Kose, Agnieszka Landowska, Tatjana Zorcec, Ben Robins, Duygun Erol Barkana:
Child-Robot Interaction Studies During COVID-19 Pandemic. - Davide Grossi:
Lecture Notes on Voting Theory. - Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
Stabilization of generative adversarial networks via noisy scale-space. - Micah Gorsline, James Smith, Cory E. Merkel:
On the Adversarial Robustness of Quantized Neural Networks. - Michael Ruderman:
Inversion-free feedforward hysteresis control using Preisach operator. - Saurabh Jain, Guokai Tang, Lim Sze Chi:
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization. - Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. - Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang:
FedProto: Federated Prototype Learning over Heterogeneous Devices. - Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan:
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. - Wei Guo, Benedetta Tondi, Mauro Barni:
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification. - Zhuangwei Shi:
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation. - Sarenne Wallbridge, Peter Bell, Catherine Lai:
It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system. - Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Tao Yu, Zerong Zheng, Qionghai Dai, Yebin Liu:
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras. - Lin Zhou, Alfred O. Hero III:
Achievable Resolution Limits for the Noisy Adaptive 20 Questions Problem. - Nicolas Boullé, Christopher J. Earls, Alex Townsend:
Data-driven discovery of physical laws with human-understandable deep learning. - Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li:
Lite-FPN for Keypoint-based Monocular 3D Object Detection. - Wilhelm Hasselbring:
Benchmarking as Empirical Standard in Software Engineering Research. - Patrick Koopmann:
Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics (Extended Version). - Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. - Ruijie Yang, Yunhong Wang, Yuanfang Guo:
A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation. - Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. - Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Ising model on bounded degree graphs. - Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. - Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. - Mohammad Samar Ansari:
A Single-Layer Asymmetric RNN: Potential Low Hardware Complexity Linear Equation Solver. - Hovhannes Harutyunyan, Denis Pankratov, Jesse Racicot:
Online Domination: The Value of Getting to Know All your Neighbors. - Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. - Andreas Hessenthaler, Robert D. Falgout, Jacob B. Schroder, Adelaide de Vecchi, David Nordsletten, Oliver Röhrle:
Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time. - Arman Malekzadeh, Amin Gheibi, Ali Mohades:
PREDICT: Persian Reverse Dictionary. - Ali Hamdi, Amr Aboeleneen, Khaled B. Shaban:
MARL: Multimodal Attentional Representation Learning for Disease Prediction. - Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi:
Waypoint Planning Networks. - Yao Zheng, Shekh Md Mahmudul Islam, Yanjun Pan, Marionne Millan, Samson Aggelopoulos, Brian Lu, Alvin Yang, Thomas Yang, Stephanie Aelmore, Willy Chang, Alana Power, Ming Li, Olga Boric-Lubecke, Victor Lubecke, Wenhai Sun:
Technical Report: Insider-Resistant Context-Based Pairing for Multimodality Sleep Apnea Test. - Preethi V, Nachiappan Sundaram, Ravindra Babu Tallamraju:
Online Fashion Commerce: Modelling Customer Promise Date. - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
t-Entropy: A New Measure of Uncertainty with Some Applications. - Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang, Yi-Chun Lai:
Content Delivery over Broadcast Erasure Channels with Distributed Random Cache. - Zixuan Zhao, Nathan Wycoff, Neil Getty, Rick Stevens, Fangfang Xia:
Neko: a Library for Exploring Neuromorphic Learning Rules. - Chandramouli K, Gopinath Ashok Kumar, Girish Satyanarayana, Ravindra Babu Tallamraju:
A Game Theoretic Algorithm for Elite Customer Identification in Online Fashion E-Commerce. - Kuan Xu, Chen Wang, Chao Chen, Wei Wu:
A Robust Object Encoding Method. - Marshall Ho, Zhipeng Zhou, Judith He:
When to Fold'em: How to answer Unanswerable questions. - Fadi M. Alladkani, James Akl, Berk Çalli:
ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation. - Louis Tan, Kaveh Mahdaviani, Ashish Khisti:
Two-terminal Erasure Source-Broadcast with Feedback. - Ilianna Kollia, Jack Stevenson, Stefanos D. Kollias:
AI-enabled Efficient and Safe Food Supply Chain. - Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
Privacy and Integrity Preserving Training Using Trusted Hardware. - Prateek Verma, Jonathan Berger:
Audio Transformers: Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions. - Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao:
Comprehensive Review On Twin Support Vector Machines. - Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Fuxin Li:
Stochastic Block-ADMM for Training Deep Networks. - Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. - Falah Alanazi, Jinsub Kim, Eduardo Cotilla Sanchez:
Load Oscillating Attacks of Smart Grids: Demand Strategies and Vulnerability Analysis. - Louis Tan, Kaveh Mahdaviani, Ashish Khisti:
Three-terminal Erasure Source-Broadcast with Feedback. - Zhilin Lu, Xudong Zhang, Hongyi He, Jintao Wang, Jian Song:
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System. - Vlad Velici, Adam Prügel-Bennett:
RotLSTM: Rotating Memories in Recurrent Neural Networks. - Ao Zhang, Farzan Erlik Nowruzi, Robert Laganière:
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users. - Jhacson Meza, Lenny A. Romero, Andrés G. Marrugo:
MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation. - Michael Burke, Subramanian Ramamoorthy:
Learning data association without data association: An EM approach to neural assignment prediction. - Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin:
Discovering Diverse Athletic Jumping Strategies. - Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao:
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. - Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, Ghassan Hamarneh:
Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes. - Harish Panneer Selvam, Yan Li, Pengyue Wang, William F. Northrop, Shashi Shekhar:
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results. - Jiawei Wang, Lijun Sun:
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. - Shuai Peng, Ke Yuan, Liangcai Gao, Zhi Tang:
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding. - Deeksha Dangwal, Meghan Cowan, Armin Alaghi, Vincent T. Lee, Brandon Reagen, Caroline Trippel:
SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing. - Ting-Yao Hu, Zhi-Qi Cheng, Alexander G. Hauptmann:
Subspace Representation Learning for Few-shot Image Classification. - Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang:
Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy. - Poliana de Moraes, Arlindo Flávio da Conceição:
A Systematic Review of Security in the LoRaWAN Network Protocol. - Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos:
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. - Wen Zhang, Chiman Wong, Ganqiang Ye, Bo Wen, Wei Zhang, Huajun Chen:
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model. - Lifeng Zhou, Pratap Tokekar:
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. - Meng Wang, Chijung Jung, Ali Ahad, Yonghwi Kwon:
Spinner: Automated Dynamic Command Subsystem Perturbation. - Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar:
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. - Qianyu Feng, Linchao Zhu, Bang Zhang, Pan Pan, Yi Yang:
OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation. - Xin Xu, Yu Dong, Fan Zhu:
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle. - Haiping Hu, Yingying Yan, Qiuyu Zhu, Guohui Zheng:
Generation and frame characteristics of predefined evenly-distributed class centroids for pattern classification. - Tatsuya Kawahara, Koji Inoue, Divesh Lala:
Intelligent Conversational Android ERICA Applied to Attentive Listening and Job Interview. - Tianwei Hou, Jun Wang, Yuanwei Liu, Xin Sun, Anna Li, Bo Ai:
A Jointly Design for STAR-RIS enhanced NOMA-CoMP Networks: A Simultaneously-Signal-Enhancement-and-Cancellation-based (SSECB) Design. - Wenhai Wang, Enze Xie, Xiang Li, Xuebo Liu, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen:
PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text. - Gerhard Kramer:
Divergence Scaling for Distribution Matching. - Tobi Delbrück, Rui Graca, Marcin Paluch:
Feedback control of event cameras. - Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li:
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. - Sean Noble Anderson, Leonidas Lampropoulos, Roberto Blanco, Benjamin C. Pierce, Andrew Tolmach:
Security Properties for Stack Safety. - Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. - Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys:
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -. - Yeyun Zou, Qiyu Xie:
A survey on VQA_Datasets and Approaches. - Ernesto Pimentel-García, Manuel J. Castro, Christophe Chalons, Tomás Morales de Luna, Carlos Parés:
In-cell Discontinuous Reconstruction path-conservative methods for non conservative hyperbolic systems - Second-order extension. - Abdifatah Farah Ali, Rusli Haji Abdulah, Mohamed M. Mohamed:
Toward Developing Intelligent Mobile Obe System In Higher Learning Institution. - Ziv Katzir, Yuval Elovici:
Who's Afraid of Adversarial Transferability? - Jizhe Zhou, Qiwei Chen, Qin Li:
Dynamic Routing for Traffic Flow through Multi-agent Systems. - Volker Diekert, Henning Fernau, Petra Wolf:
Properties of Graphs Specified by a Regular Language. - Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Marco Di Renzo, Zhu Han, Dusit Niyato, H. Vincent Poor, Lajos Hanzo:
AI-Assisted MAC for Reconfigurable Intelligent Surface-Aided Wireless Networks: Challenges and Opportunities. - Ilan Reuven Cohen, Izack Cohen, Iyar Zaks:
Weighted completion time minimization for capacitated parallel machines. - Onur Dizdar, Yijie Mao, Yunnuo Xu, Peiying Zhu, Bruno Clerckx:
Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G. - Masoud Jalayer, Reza Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis:
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN. - Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn:
Multi-Agent Routing and Scheduling Through Coalition Formation. - Pierre Marcus, Ilkka Törmä:
Winning Sets of Regular Languages: Descriptional and Computational Complexity. - Ivana Nikoloska, Osvaldo Simeone:
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks. - Dandan Zhang, Ruoxi Wang, Benny Lo:
Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction. - Venkata Vamsikrishna Meduri, Abdul Quamar, Chuan Lei, Vasilis Efthymiou, Fatma Ozcan:
BI-REC: Guided Data Analysis for Conversational Business Intelligence. - Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang, Sucheng Ren, Hang Zhao:
On Feature Decorrelation in Self-Supervised Learning. - Feng Wang, Vincent K. N. Lau:
Multi-Level Over-the-Air Aggregation of Mobile Edge Computing over D2D Wireless Networks. - Charles-Henry Bertrand Van Ouytsel, Thomas Given-Wilson, Jeremy Minet, Julian Roussieau, Axel Legay:
Analysis of Machine Learning Approaches to Packing Detection. - Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. - Jinjian Li, Chuandong Guo, Li Su, Xiangyu Wang, Quan Hu:
SE-Harris and eSUSAN: Asynchronous Event-Based Corner Detection Using Megapixel Resolution CeleX-V Camera. - Jing Huang, Xiaolin Huang, Jie Yang:
Residual Enhanced Multi-Hypergraph Neural Network. - Pankaj Kumar Kalita, Sujit Kumar Muduli, Loris D'Antoni, Thomas W. Reps, Subhajit Roy:
Synthesizing Abstract Transformers. - Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker:
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. - Saeed Tafazzol, Erfan Fathi, Mahdi Rezaei, Ehsan Asali:
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning. - Luan P. Lima, Lincoln S. Rocha, Carla I. M. Bezerra, Matheus Paixão:
Assessing Exception Handling Testing Practices in Open-Source Libraries. - Florian Mihola:
What Way Is It Meant To Be Played? - Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. - Anna Esposito, Terry Amorese, Marialucia Cuciniello, Antonietta Maria Esposito, Alda Troncone, María Inés Torres, Stephan Schlögl, Gennaro Cordasco:
Seniors' acceptance of virtual humanoid agents. - Maksim Velikanov, Dmitry Yarotsky:
Universal scaling laws in the gradient descent training of neural networks. - You Chen, Guyue Li, Cunhua Pan, Lei Hu, Aiqun Hu:
Intelligent Reflecting Surface-Assisted Secret Key Generation In Multi-antenna Network. - Lin Sok:
Explicit constructions of optimal linear codes with Hermitian hulls and their application to quantum codes. - Tamal K. Dey, Tao Hou:
Computing Optimal Persistent Cycles for Levelset Zigzag on Manifold-like Complexes. - Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. - Andreas Galanis, Leslie Ann Goldberg, James Stewart:
Fast mixing via polymers for random graphs with unbounded degree. - Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Planning for Proactive Assistance in Environments with Partial Observability. - Joonas Lomps, Artjom Lind, Amnir Hadachi:
CDR Based Trajectories: Tentative for Filtering Ping-pong Handover. - Arlene John, Barry Cardiff, Deepu John:
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors. - Hanchi Ren, Jingjing Deng, Xianghua Xie:
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. - Júlio G. S. F. da Costa, Reinaldo A. Petta, Samuel Xavier de Souza:
Metadata Interpretation Driven Development. - Ronen Ben David, Anat Bremler Barr:
Kubernetes Autoscaling: YoYo Attack Vulnerability and Mitigation. - Sarnab Bhattacharya, Keum San Chun, Edison Thomaz:
MagSurface: Wireless 2D Finger Tracking Leveraging Magnetic Fields. - Fuad Yimer Yesuf, M. Prathap:
CARL-DTN: Context Adaptive Reinforcement Learning based Routing Algorithm in Delay Tolerant Network. - Alphonsus Adu-Bredu, Noah Del Coro, Tianyi Liu:
GODSAC*: Graph Optimized DSAC* for Robot Relocalization. - Neeraj Sarna, Peter Benner:
Data-Driven Model Order Reduction for Problems with Parameter-Dependent Jump-Discontinuities. - Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez:
Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion. - Chengping Rao, Hao Sun, Yang Liu:
Hard Encoding of Physics for Learning Spatiotemporal Dynamics. - Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. - Anna Berenberg, Brad Calder:
Deployment Archetypes for Cloud Applications. - Saeed Vahidian, Mahdi Morafah, Bill Lin:
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. - Delia Kesner, Andrés Viso:
The Power of Tightness for Call-By-Push-Value. - Vasilios Koutsokostas, Constantinos Patsakis:
Python and Malware: Developing Stealth and Evasive Malware Without Obfuscation. - Roberto Gerson de Albuquerque Azevedo, Neil Birkbeck, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Multi-feature 360 Video Quality Estimation. - Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi:
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. - Naman Goyal, Jingfei Du, Myle Ott, Giri Anantharaman, Alexis Conneau:
Larger-Scale Transformers for Multilingual Masked Language Modeling. - Siddharth Dalmia, Brian Yan, Vikas Raunak, Florian Metze, Shinji Watanabe:
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks. - Workneh Y. Ayele:
Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset. - Seher Acer, Erik G. Boman, Christian A. Glusa, Sivasankaran Rajamanickam:
Sphynx: a parallel multi-GPU graph partitioner for distributed-memory systems. - Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. - Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh:
Learning Visually Guided Latent Actions for Assistive Teleoperation. - Rahul Arora, Jiannan Li, Gongyi Shi, Karan Singh:
Thinking Outside the Lab: VR Size & Depth Perception in the Wild. - Juliano S. Assine, José Cândido Silveira Santos Filho, Eduardo Valle:
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation. - Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani:
An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks. - Saeed Habibi, Ramin Rahimi, Pourya Shamsi, Mehdi Ferdowsi:
Efficiency Assessment of a Residential DC Nanogrid with Low and High Distribution Voltages Using Realistic Data. - Amanda Gute, Xingjie Helen Li:
Maximum Principle Preserving Finite Difference Scheme for 1-D Nonlocal-to-Local Diffusion Problems. - Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba:
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning. - Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin:
Consistency and Monotonicity Regularization for Neural Knowledge Tracing. - Shell Xu Hu, Md Rifat Arefin, Viet-Nhat Nguyen, Alish Dipani, Xaq Pitkow, Andreas Savas Tolias:
AvaTr: One-Shot Speaker Extraction with Transformers. - Barak Shoshany:
A C++17 Thread Pool for High-Performance Scientific Computing. - Emre Sariyildiz, Kouhei Ohnishi:
A guide to design disturbance observer based motion control systems. - Sabah Al-Fedaghi:
Model Multiplicity (UML) Versus Model Singularity in System Requirements and Design. - Sina Shaham, Gabriel Ghinita, Cyrus Shahabi:
An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes. - Salman Ahmed, Hammad Naveed:
OpTorch: Optimized deep learning architectures for resource limited environments. - Siawpeng Er, Shihao Yang, Tuo Zhao:
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction. - Han Xiao, Qizhi Fang:
Population Monotonicity in Matching Games. - Camilo Pestana, Wei Liu, David G. Glance, Robyn A. Owens, Ajmal Mian:
Physical world assistive signals for deep neural network classifiers - neither defense nor attack. - Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji:
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. - Jie Ma, Bin Qi, Kewei Lv:
Three-Party Integer Comparison and Applications. - Zheng Gao, Chun Guo, Xiaozhong Liu:
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution. - Rushuai Liu, Weijun Tan:
EQFace: A Simple Explicit Quality Network for Face Recognition. - Dian Chen, Vladlen Koltun, Philipp Krähenbühl:
Learning to drive from a world on rails. - Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
ISTR: End-to-End Instance Segmentation with Transformers. - Aduri Pavan, N. V. Vinodchandran, Arnab Bhattacharyya, Kuldeep S. Meel:
Model Counting meets F0 Estimation. - Hanne Stenzel, Davide Berghi, Marco Volino, Philip J. B. Jackson:
Naturalistic audio-visual volumetric sequences dataset of sounding actions for six degree-of-freedom interaction. - Benjamin Hilprecht, Carsten Binnig:
One Model to Rule them All: Towards Zero-Shot Learning for Databases. - Saurav Manchanda, Da Zheng, George Karypis:
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. - Furkan Göksel, Muslum Ozgur Ozmen, Michael Reeves, Basavesh Shivakumar, Z. Berkay Celik:
On the Safety Implications of Misordered Events and Commands in IoT Systems. - Yongmin Yoo, Tak-Sung Heo, Yeongjoon Park:
A novel hybrid methodology of measuring sentence similarity. - Emil Engström, Eskil Hansen:
Convergence Analysis of the Nonoverlapping Robin-Robin Method for Nonlinear Elliptic Equations. - Gourab Nath, Jaydip Sen:
An Algorithm for Recommending Groceries Based on an Item Ranking Method. - Shankar P. Sastry:
A 3D Advancing-Front Delaunay Mesh Refinement Algorithm. - Astghik Hakobyan, Insoon Yang:
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach. - Fatemeh Pourahmadian, Kevish Napal:
Poroelastic near-field inverse scattering. - Dimitri Justeau-Allaire, Philippe Birnbaum, Xavier Lorca:
Bounds of MIN_NCC and MAX_NCC and filtering scheme for graph domain variables. - Soyeong Jeong, Jinheon Baek, ChaeHun Park, Jong C. Park:
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation. - Boris Ruf, Marcin Detyniecki:
Explaining how your AI system is fair. - Thorsten Wißmann, Stefan Milius, Lutz Schröder:
Explaining Behavioural Inequivalence Generically in Quasilinear Time. - Michael Matthias Voit, Heiko Paulheim:
Bias in Knowledge Graphs - an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia. - Chohei Pang, Kinwing Mak, Yazhan Zhang, Yang Yang, Yu Alexander Tse, Michael Yu Wang:
Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor. - Hao-Hsiang Yang, Wei-Ting Chen, Sy-Yen Kuo:
S3Net: A Single Stream Structure for Depth Guided Image Relighting. - Leo Cazenille:
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms. - Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang:
APEX: A High-Performance Learned Index on Persistent Memory. - Simon Enni, Ira Assent:
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development. - Michael Kompatscher:
CSAT and CEQV for nilpotent Maltsev algebras of Fitting length > 2. - Hao-Hsiang Yang, Wei-Ting Chen, Hao-Lun Luo, Sy-Yen Kuo:
Multi-modal Bifurcated Network for Depth Guided Image Relighting. - Dominik Dellermann, Philipp Ebel, Matthias Söllner, Jan Marco Leimeister:
Hybrid Intelligence. - Emir Zunic, Kemal Korjenic, Sead Delalic, Zlatko Subara:
Comparison Analysis of Facebook's Prophet, Amazon's DeepAR+ and CNN-QR Algorithms for Successful Real-World Sales Forecasting. - Indrit Nallbani, Aydin Ayanzadeh, Reyhan Kevser Keser, Nurullah Çalik, Behçet Ugur Töreyin:
Representation Learning using Graph Autoencoders with Residual Connections. - Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. - Min Qiu, Xiaowei Wu, Jinhong Yuan, Alexandre Graell i Amat:
Generalized Spatially Coupled Parallel Concatenated Convolutional Codes With Partial Repetition. - Tri Dung Duong, Qian Li, Guandong Xu:
Prototype-based Counterfactual Explanation for Causal Classification. - Haobo Jiang, Jin Xie, Jian Yang:
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks. - Mujtaba Alshakhouri, Jim Buchan, Stephen G. MacDonell:
Synchronised Visualisation of Software Process and Product Artefacts: Concept, Design and Prototype Implementation. - Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong:
Turing Number: How Far Are You to A. M. Turing Award? - Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. - Nir Bitansky, Iftach Haitner, Ilan Komargodski, Eylon Yogev:
Distributional Collision Resistance Beyond One-Way Functions. - Ying Shuai Quan, Jin Sung Kim, Chung Choo Chung:
Robust Control for Lane Keeping System Using Linear Parameter Varying Approach with Scheduling Variables Reduction. - Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Jason J. Jung, Feng Xia:
Metaphor Research in the 21st Century: A Bibliographic Analysis. - Antoine Leeman, Valentin Preda, Irene Huertas, Samir Bennani:
Autonomous parafoil precision landing using convex real-time optimized guidance and control. - Matan Fintz, Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Gérard G. Medioni:
Synthetic Data for Model Selection. - Marcell Fehér, Daniel E. Lucani, Morten Tranberg Hansen, Flemming Enevold Vester:
Stream Compression of DLMS Smart Meter Readings. - Siamak Taati:
Reversible cellular automata in presence of noise rapidly forget everything. - Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Yee Liang Thian, Cheng E. Chee, Constantinos P. Anastassiades:
Spectral Machine Learning for Pancreatic Mass Imaging Classification. - Francesco Conte, M. Crosa Di Vergagni, Stefano Massucco, Federico Silvestro, Emanuele Ciapessoni, Diego Cirio:
Performance analysis of frequency regulation services provided by aggregates of domestic thermostatically controlled loads. - Ran Cohen, Iftach Haitner, Eran Omri, Lior Rotem:
Characterization of Secure Multiparty Computation Without Broadcast. - Massimo La Morgia, Alessandro Mei, Francesco Sassi, Julinda Stefa:
The Doge of Wall Street: Analysis and Detection of Pump and Dump Cryptocurrency Manipulations. - Luca Aceto, Elli Anastasiadi, Valentina Castiglioni, Anna Ingólfsdóttir, Bas Luttik:
In search of lost time: Axiomatising parallel composition in process algebras. - Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCheck- Property-Driven Testing of Machine Learning Models. - Amos Beimel, Iftach Haitner, Nikolaos Makriyannis, Eran Omri:
Tighter Bounds on Multi-Party Coin Flipping via Augmented Weak Martingales and Differentially Private Sampling. - Jiantang Zhang, Jin Cheng, Min Zhong:
A Tikhonov Regularization Based Algorithm for Scattered Data with Random Noise. - Paolo Pistone, Luca Tranchini:
What's Decidable about (Atomic) Polymorphism. - Riccardo Fontanini, Marco Massarotto, Ruben Specogna, Francesco Driussi, Mirko Loghi, David Esseni:
Modelling and design of FTJs as high reading-impedance synaptic devices. - Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa:
The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines. - Abdul Saleem Mir, Abhinav Kumar Singh, Nilanjan Senroy:
Robust Observer Based Methodology for Frequency and Rate of Change of Frequency Estimation in Power Systems. - Yonatan Nakar, Dana Ron:
Testing Dynamic Environments: Back to Basics. - Dror Chawin, Iftach Haitner, Noam Mazor:
Lower Bounds on the Time/Memory Tradeoff of Function Inversion. - Kwanyoung Park, Hyunseok Oh, Youngki Lee:
VECA : A Toolkit for Building Virtual Environments to Train and Test Human-like Agents. - Arnaud Mazier, Sophie Ribes, Romain Testylier, Frédéric Van Meer, Benjamin Gilles, François Faure, Stéphane P. A. Bordas:
A rigged model of the breast for preoperative surgical planning. - Iftach Haitner, Kobbi Nissim, Eran Omri, Ronen Shaltiel, Jad Silbak:
Computational Two-Party Correlation: A Dichotomy for Key-Agreement Protocols. - Xiong Wang, Jiancheng Ye, John C. S. Lui:
Joint D2D Collaboration and Task Offloading for Edge Computing: A Mean Field Graph Approach. - Xiong Wang, Riheng Jia:
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward. - Gabriel Schamberg, Praveen Venkatesh:
Partial Information Decomposition via Deficiency for Multivariate Gaussians. - Iftach Haitner, Noam Mazor, Ronen Shaltiel, Jad Silbak:
Channels of Small Log-Ratio Leakage and Characterization of Two-Party Differentially Private Computation. - Diego Antognini, Boi Faltings:
Fast Multi-Step Critiquing for VAE-based Recommender Systems. - Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, C. V. Aravinda, Amar Prabhu G, Lin Meng:
Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models. - Iftach Haitner, Nikolaos Makriyannis, Eran Omri:
On the Complexity of Fair Coin Flipping. - Jakub Nemcek, Tomás Vicar, Roman Jakubícek:
Weakly supervised deep learning-based intracranial hemorrhage localization. - Lorenzo Nava, Oriol Monserrat, Filippo Catani:
Improving Landslide Detection on SAR Data through Deep Learning. - Etienne Moutot, Coline Petit-Jean:
Pattern Complexity of Aperiodic Substitutive Subshifts. - Evan S. Gawlik, François Gay-Balmaz:
A structure-preserving finite element method for compressible ideal and resistive MHD. - Pushkal Katara, Y. V. S. Harish, Harit Pandya, Abhinav Gupta, AadilMehdi J. Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, K. Madhava Krishna:
DeepMPCVS: Deep Model Predictive Control for Visual Servoing. - Heiner Bauer, Sebastian Höppner, Chris Paul Iatrou, Zohra Charania, Stephan Hartmann, Saif-Ur Rehman, Andreas Dixius, Georg Ellguth, Dennis Walter, Johannes Uhlig, Felix Neumärker, Marc Berthel, Marco Stolba, Florian Kelber, Leon Urbas, Christian Mayr:
Hardware Implementation of an OPC UA Server for Industrial Field Devices. - Genoveva Vargas-Solar, José-Luis Zechinelli-Martini, Javier-Alfonso Espinosa-Oviedo, Luis Manuel Vilches Blázquez:
LACLICHEV: Exploring the History of Climate Change in Latin America within Newspapers Digital Collections. - Liqun Qi:
Tubal Matrix Analysis. - Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. - Itay Berman, Iftach Haitner, Eliad Tsfadia:
A Tight Parallel Repetition Theorem for Partially Simulatable Interactive Arguments via Smooth KL-Divergence. - (Withdrawn) Amharic Text Clustering Using Encyclopedic Knowledge with Neural Word Embedding.
- Wuraola Fisayo Oyewusi, Olubayo Adekanmbi, Ifeoma Okoh, Vitus Onuigwe, Mary Idera Salami, Opeyemi Osakuade, Sharon Ibejih, Usman Abdullahi Musa:
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages. - Abdelghny Orogat, Isabelle Liu, Ahmed El-Roby:
CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs. - Jinchuan Tian, Rongzhi Gu, Helin Wang, Yuexian Zou:
Layer Reduction: Accelerating Conformer-Based Self-Supervised Model via Layer Consistency. - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for NLP? - Zhuang Li:
Representation Learning for Weakly Supervised Relation Extraction. - Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. - Michael Freunek, André Bodmer:
BERT based freedom to operate patent analysis. - Schyan Zafar, Geoff K. Nicholls:
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference. - Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. - Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas:
Switching Contexts: Transportability Measures for NLP. - Diyah Puspitaningrum:
A Survey of Recent Abstract Summarization Techniques. - Yu Li, Shirley Anugrah Hayati, Weiyan Shi, Zhou Yu:
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems. - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. - Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha:
AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models. - Michael Tänzer, Sebastian Ruder, Marek Rei:
BERT memorisation and pitfalls in low-resource scenarios. - Vignav Ramesh, Anton Kolonin:
Natural Language Generation Using Link Grammar for General Conversational Intelligence. - Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren:
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning. - Jan Friedrich, Simone Göttlich, Maximilian Osztfalk:
Network models for nonlocal traffic flow. - Ben P. Wise:
Elo Ratings for Large Tournaments of Software Agents in Asymmetric Games. - Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
Wireless Federated Learning (WFL) for 6G Networks - Part I: Research Challenges and Future Trends. - Huned Materwala, Leila Ismail:
Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers. - Alexander Robertson, Farhana Ferdousi Liza, Dong Nguyen, Barbara McGillivray, Scott A. Hale:
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018. - Melih Birim, Hüseyin Emre Ari, Enis Karaarslan:
GoHammer Blockchain Performance Test Tool. - Iftach Haitner, Eliad Tsfadia:
An Almost-Optimally Fair Three-Party Coin-Flipping Protocol. - Qazwan Abdullah, Nor Shahida Mohd Shah, Mahathir Mohamad, Muaammar Hadi Kuzman Ali, Nabil Farah, Adeb Salh, Maged Aboali, Mahmod Abd Hakim Mohamad, Abdu Saif:
Real-time Autonomous Robot for Object Tracking using Vision System. - Toru Takahashi, Tetsuro Hirai, Hiroshi Isakari, Toshiro Matsumoto:
An isogeometric boundary element method for three-dimensional doubly-periodic layered structures in electromagnetics. - Pei Lv, Boya Xu, Chaochao Li, Qingqing Yu, Bing Zhou, Mingliang Xu:
Antagonistic Crowd Simulation Model Integrating Emotion Contagion and Deep Reinforcement Learning. - Harrie Oosterhuis:
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. - Dong H. Song, Daniel M. Tartakovsky:
Transfer Learning on Multi-Fidelity Data. - Eun Jung Kim, Euiwoong Lee, Dimitrios M. Thilikos:
A Constant-factor Approximation for Weighted Bond Cover. - Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! - Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger:
On the Pareto Front of Physics-Informed Neural Networks. - David Esseni, Riccardo Fontanini, Daniel Lizzit, Marco Massarotto, Francesco Driussi, Mirko Loghi:
Ferroelectric based FETs and synaptic devices for highly energy efficient computational technologies. - Amogh G. Warkhandkar, Omkar B. Bhambure:
LiveStyle - An Application to Transfer Artistic Styles. - Zhiwei Xing, Lin Zhang, Huan Xia, Qian Luo, Zhao-xin Chen:
Causal Discovery of Flight Service Process Based on Event Sequence. - Mingming Guo, Nian Yan, Xiquan Cui, Simon Hughes, Khalifeh Al Jadda:
Online Product Feature Recommendations with Interpretable Machine Learning. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
Convergence Analysis and System Design for Federated Learning over Wireless Networks. - Alonso Rodríguez-Navarro:
La evaluacion de la investigacion: Espana suspende. - Masoud Fetanat, Michael C. Stevens, Christopher Hayward, Nigel H. Lovell:
A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network. - Yaron Fairstein, Ariel Kulik, Joseph Naor, Danny Raz:
General Knapsack Problems in a Dynamic Setting. - Giulia Milan, Luca Vassio, Idilio Drago, Marco Mellia:
RL-IoT: Reinforcement Learning to Interact with IoT Devices. - Randal E. Bryant, Marijn J. H. Heule:
Generating Extended Resolution Proofs with a BDD-Based SAT Solver. - Stanley Bak, Sergiy Bogomolov, Parasara Sridhar Duggirala, Adam R. Gerlach, Kostiantyn Potomkin:
Reachability of Black-Box Nonlinear Systems after Koopman Operator Linearization. - George De Ath, Richard M. Everson, Jonathan E. Fieldsend:
How Bayesian Should Bayesian Optimisation Be? - Sowmya Vajjala:
Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities. - Congying Xia, Caiming Xiong, Philip S. Yu:
Pseudo Siamese Network for Few-shot Intent Generation. - Gabriel Michau, Olga Fink:
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. - Christine Basta, Marta R. Costa-jussà:
Impact of Gender Debiased Word Embeddings in Language Modeling. - Riccardo Milani, Jérôme Bonelle, Alexandre Ern:
Artificial compressibility methods for the incompressible Navier-Stokes equations using lowest-order face-based schemes on polytopal meshes. - Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang:
MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. - Aiden Durrant, Georgios Leontidis:
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability. - Alexander Kolsanov, Nikolai Popov, Irina Aupova, Konstantin Dobratulin, Andrey Gaidel:
Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks. - Arnab Karmakar, Deepak Mishra:
Pose Invariant Person Re-Identification using Robust Pose-transformation GAN. - Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing:
GridToPix: Training Embodied Agents with Minimal Supervision. - Nicolas Perreaux:
Possibilities, Challenges and Limits of a European Charters Corpus (Cartae Europae Medii Aevi - CEMA). - (Withdrawn) Deep Neural Network for Musical Instrument Recognition using MFCCs.
- Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak:
LFI-CAM: Learning Feature Importance for Better Visual Explanation. - Justin Loye, Katia Jaffrès-Runser, Dima Shepelyansky:
Post-Brexit power of European Union from the world trade network analysis. - Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. - Priyanka Sinha, Pabitra Mitra, Antonio Anastasio Bruto da Costa, Nikolaos Kekatos:
Explaining Outcomes of Multi-Party Dialogues using Causal Learning. - Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Déforges:
CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection. - Ning Gao, Xiao Li, Shi Jin, Michail Matthaiou:
3-D Deployment of UAV Swarm for Massive MIMO Communications. - Jing Huang, Jie Yang:
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks. - Tsung-Wei Ke, Jyh-Jing Hwang, Stella X. Yu:
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. - Ran Cohen, Iftach Haitner, Eran Omri, Lior Rotem:
From Fairness to Full Security in Multiparty Computation. - Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez:
Analyzing scientific data sharing patterns for in-network data caching. - Nathanael Arkor, Dylan McDermott:
Abstract clones for abstract syntax. - Abderrahim Arabi, Hacène Belbachir, Jean-Philippe Dubernard:
Enumeration of parallelogram polycubes. - Belén Vela, José María Cavero, Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo, Paloma Cáceres:
A Geo-Gender Study of Indexed Computer Science Research Publications. - Sowmya Vajjala:
Trends, Limitations and Open Challenges in Automatic Readability Assessment Research. - Ilya Gusev, Ivan Smurov:
Russian News Clustering and Headline Selection Shared Task. - Zoltán Tüske, George Saon, Brian Kingsbury:
On the limit of English conversational speech recognition. - Benjamin Monmege, Julie Parreaux, Pierre-Alain Reynier:
Playing Stochastically in Weighted Timed Games to Emulate Memory. - Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Díaz, David Rosenbluth, Lee Ritholtz, Jason C. Twedt, Thayne T. Walker, Kevin Alcedo, Daniel Javorsek:
Hierarchical Reinforcement Learning for Air-to-Air Combat. - Yunwen Chen, Zuotao Liu, Daqi Ji, Yingwei Xin, Wenguang Wang, Lu Yao, Yi Zou:
Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks. - Motahare Mounesan, Vindula Jayawardana, Yaocheng Wu, Samitha Samaranayake, Huy T. Vo:
Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City. - Christopher McGreavy, Zhibin Li:
Reachability Map for Diverse Balancing Strategies and Energy Efficient Stepping of Humanoids. - Arash Amini, Guangyi Liu, Nader Motee:
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise. - Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr:
Recovering Barabási-Albert Parameters of Graphs through Disentanglement. - Nicat Aliyev:
Subspace Method for the Estimation of Large-Scale Structured Real Stability Radius. - Sanidhya Singal, Piyush Singh, Manjeet Dahiya:
Automatic Collection Creation and Recommendation. - Yotam Barnoy, Molly O'Brien, Will Wang, Gregory D. Hager:
Robotic Surgery With Lean Reinforcement Learning. - Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi J. Al'Aref, Yifan Peng:
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. - Liming Fu, Peng Liang, Xueying Li, Chen Yang:
A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions. - Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter:
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization. - Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. - Catherine Stinson:
Algorithms are not neutral: Bias in collaborative filtering. - Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Optimal Maximal Leakage-Distortion Tradeoff. - Shaz Hoda, Amitoj Singh, Anand S. Rao, Remzi Ural, Nicholas Hodson:
Consumer Demand Modeling During COVID-19 Pandemic. - Victoria Döller:
Formalizing the Four-layer Metamodeling Stack - Potential and Benefits. - Geoffrey Guy Messier, Leslie Tutty, Caleb John:
The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use. - Eugene Yang, Sean MacAvaney, David D. Lewis, Ophir Frieder:
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review. - Chak Fung Choi, Cheuk Ting Li:
Multiple-Output Channel Simulation and Lossy Compression of Probability Distributions. - Dao Thanh Hai:
Three Shades of Partial Protection in Elastic Optical Networks. - Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song:
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery. - Shu-Wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Jeff Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Guan-Ting Lin, Tzu-Hsien Huang, Wei-Cheng Tseng, Ko-tik Lee, Da-Rong Liu, Zili Huang, Shuyan Dong, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee:
SUPERB: Speech processing Universal PERformance Benchmark. - Tuomo Hiippala:
Applied Language Technology: NLP for the Humanities. - Wei Jiang, Kun Liu, Themistoklis Charalambous:
Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs. - Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick Pérez, Christian Theobalt:
Neural Monocular 3D Human Motion Capture with Physical Awareness. - Delong Qi, Weijun Tan, Zhifu Liu, Qi Yao, Jingfeng Liu:
A Gun Detection Dataset and Searching for Embedded Device Solutions. - Yilun Du, Chuang Gan, Phillip Isola:
Curious Representation Learning for Embodied Intelligence. - Alexander Raistrick, Nilesh Kulkarni, David F. Fouhey:
Collision Replay: What Does Bumping Into Things Tell You About Scene Geometry? - Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. - Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling:
Process Model Forecasting Using Time Series Analysis of Event Sequence Data. - Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye:
Reinforcement Learning for Ridesharing: A Survey. - (Withdrawn) Consistent Density Estimation Under Discrete Mixture Models.
- Deivid Vale, Cynthia Kop:
Tuple Interpretations for Higher-Order Rewriting. - Radoslaw Miernik, Jakub Kowalski:
Evolving Evaluation Functions for Collectible Card Game AI. - Giovanni Colavizza, Tobias Blanke, Charles Jeurgens, Julia Noordegraaf:
Archives and AI: An Overview of Current Debates and Future Perspectives. - Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville:
Iterated learning for emergent systematicity in VQA. - Cláudio Sardinha, Anna Carolina Finamore, Rui Henriques:
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context. - Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun:
Fusing multimodal neuroimaging data with a variational autoencoder. - Gaurav Sahu, Robin Cohen, Olga Vechtomova:
Towards A Multi-agent System for Online Hate Speech Detection. - Li Zhang, Vijay Yadav, Vidya Koesmahargyo, Anzar Abbas, Isaac R. Galatzer-Levy:
Prediction of clinical tremor severity using Rank Consistent Ordinal Regression. - Lorenzo Clemente, Michal Skrzypczak:
Deterministic and game separability for regular languages of infinite trees. - Keren Censor-Hillel, Noa Marelly, Roy Schwartz, Tigran Tonoyan:
Fault Tolerant Max-Cut. - Alessio Schiavo, Filippo Minutella, Mattia Daole, Marsha Gomez Gomez:
Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3. - Akhil Jalan, Dana Moshkovitz:
Near-Optimal Cayley Expanders for Abelian Groups. - Pavan Holur, Shadi Shahsavari, Ehsan Ebrahimzadeh, Timothy R. Tangherlini, Vwani P. Roychowdhury:
Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews. - Òscar Lorente, Josep R. Casas, Santiago Royo, Ivan Caminal:
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks. - Farnaz H. Foomani, D. M. Anisuzzaman, Jeffrey A. Niezgoda, Jonathan Niezgoda, William Guns, Sandeep Gopalakrishnan, Zeyun Yu:
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks. - Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant:
The Tracking Machine Learning challenge : Throughput phase. - Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Approximability of all finite CSPs in the dynamic streaming setting. - Guosheng Fu, Zhiliang Xu:
High-order space-time finite element methods for the Poisson-Nernst-Planck equations: Positivity and unconditional energy stability. - Misha E. Kilmer, Arvind K. Saibaba:
Structured Matrix Approximations via Tensor Decompositions. - Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine Learning Applications for Therapeutic Tasks with Genomics Data. - Taylor J. Smith, Kai Salomaa:
Degrees of Restriction for Two-Dimensional Automata. - Aina Garí Soler, Marianna Apidianaki:
Scalar Adjective Identification and Multilingual Ranking. - Andrés Arcia-Moret, Jesús Gómez, Arjuna Sathiaseelan:
Octopus: A Zero-Cost Architecture for Stream Network Monitoring. - Yuhan Liu, Yuhan Gao, Zhifan Nan, Long Chen:
Textual Analysis of Communications in COVID-19 Infected Community on Social Media. - Konstantinos Georgiou, Somnath Kundu, Pawel Pralat:
Makespan Trade-offs for Visiting Triangle Edges. - Tatyana Iazykova, Denis Kapelyushnik, Olga Bystrova, Andrey Kutuzov:
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks. - Hai Dao:
Three Commandments for Applying (Photonic) Network Coding To Optical Core Networks. - Md. Abdullah Al Alamin, Gias Uddin:
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases. - Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore:
EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia. - Maysam Behmanesh, Peyman Adibi, Hossein Karshenas:
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. - Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong:
Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics. - Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk:
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. - Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos:
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. - Sara Ban, Sanja Rukavina:
Type IV-II codes over Z4 constructed from generalized bent functions. - Fabián Villena:
LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests. - Hung-Min Hsu, Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang, Kwang-Ju Kim:
Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model. - Simon-Pierre Deschênes, Dominic Baril, Vladimír Kubelka, Philippe Giguère, François Pomerleau:
Lidar Scan Registration Robust to Extreme Motions. - Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati:
Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction. - Murat Cubuktepe, Frantisek Blahoudek, Ufuk Topcu:
Polynomial-Time Algorithms for Multi-Agent Minimal-Capacity Planning. - Zi-jian Ni, Wei Liu:
Causal factors discovering from Chinese construction accident cases. - Jianfeng Lu, Yulong Lu:
A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems. - Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley:
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning. - Guangyao Chen, Zhihao Jiang:
Environment Modeling During Model Checking of Cyber-Physical Systems. - Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. - Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li:
Supervised multi-specialist topic model with applications on large-scale electronic health record data. - Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao:
End-to-end One-shot Human Parsing. - Chanwoo Kim, Abhinav Garg, Dhananjaya Gowda, Seongkyu Mun, Changwoo Han:
Streaming end-to-end speech recognition with jointly trained neural feature enhancement. - Muhannad Alkaddour, Usman Tariq, Abhinav Dhall:
Self-Supervised Approach for Facial Movement Based Optical Flow. - Shu Fu, Jie Gao, Lian Zhao:
Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G. - Dajiang Suo, M. Elena Renda, Jinhua Zhao:
Quantifying the Tradeoff Between Cybersecurity and Location Privacy. - Adrian Dumitrescu:
Finding Triangles or Independent Sets. - Ayaz Hafiz, Kevin Jin:
Architecture of a Flexible and Cost-Effective Remote Code Execution Engine. - Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Daniel M. Gruen, Deborah L. McGuinness:
Semantic Modeling for Food Recommendation Explanations. - Alec Michael Dunton, Alireza Doostan:
Deterministic matrix sketches for low-rank compression of high-dimensional simulation data. - Marakkalage Sumudu Hasala, Billy Pik Lik Lau, Yuren Zhou, Ran Liu, Chau Yuen, Wei Quin Yow, Keng Hua Chong:
WiFi Fingerprint Clustering for Urban Mobility Analysis. - Yunsheng Pang, Yunxiang Zhao, Dongsheng Li:
Graph Pooling via Coarsened Graph Infomax. - Weijia Zhang:
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder. - Yan Song, Tong Zhang, Yonggang Wang, Kai-Fu Lee:
ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders. - Feng Shi, Ahren Yiqiao Jin, Song-Chun Zhu:
VersaGNN: a Versatile accelerator for Graph neural networks. - Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan:
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. - Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, Gina Lopez, Wenzhi Zeng, Frank Ewert, Thomas Gaiser, Jaber Rahimi:
Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany. - Jun-Geol Ahn, Hyun-Ik Yang, Jin-Gyun Kim:
Online adaptive basis construction for nonlinear model reduction through local error optimization. - Zhiang Chen, J. Ramon Arrowsmith, Jnaneshwar Das:
Autonomous Robotic Mapping of Fragile Geologic Features. - Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai:
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. - Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan:
Representation Learning for Clustering via Building Consensus. - Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao:
Dual-Cross Central Difference Network for Face Anti-Spoofing. - Weilin Zhang, Yu-Xiong Wang:
Hallucination Improves Few-Shot Object Detection. - Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya:
Semantic Extractor-Paraphraser based Abstractive Summarization. - Chao-Ping Lin, Ding Lu, Zhaojun Bai:
Backward Stability of Explicit External Deflation for the Symmetric Eigenvalue Problem. - Hao-Hsiang Yang, Kuan-Chih Huang, Wei-Ting Chen:
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement. - Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. - Jun-Geol Ahn, Hyun-Ik Yang, Jin-Gyun Kim:
Multiphysics model reduction of thermomechanical vibration in a state-space formulation. - Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto, Heiko Paulheim:
Large-scale Taxonomy Induction Using Entity and Word Embeddings. - Youngseo Son, H. Andrew Schwartz:
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media. - Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas:
Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis. - Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. - Jack Tanner, Roshaan Khan:
Technology Review of Blockchain Data Privacy Solutions. - Gwénaël Richomme, Patrice Séébold:
A characterization of binary morphisms generating Lyndon infinite words. - Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. - Meng Tang, Xin Ju, Louis J. Durlofsky:
Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration. - Teodor Knapik:
Signal automata and hidden Markov models. - Murari Mandal, Santosh Kumar Vipparthi:
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs. - David Monniaux, Cyril Six:
Simple, Light, Yet Formally Verified, Global Common Subexpression Elimination and Loop-Invariant Code Motion. - Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières:
Implicit Regularization in Deep Tensor Factorization. - Vikas Hassija, Vinay Chamola, Adhar Agrawal, Adit Goyal, Nguyen Cong Luong, Dusit Niyato, F. Richard Yu, Mohsen Guizani:
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey. - Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino:
Continuous indetermination and average likelihood minimization. - Onur Günlü, Ueli Maurer, João Ribeiro:
Effects of Quantization on the Multiple-Round Secret-Key Capacity. - Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu:
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment. - Ziran Wang, Kyungtae Han, Prashant Tiwari:
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. - Anahid Robert Safavi, Alberto G. Perotti, Branislav M. Popovic, Mahdi Boloursaz Mashhadi, Deniz Gündüz:
Deep Extended Feedback Codes. - Jie Wang, Zhiyuan Jia, Hoover H. F. Yin, Shenghao Yang:
Small-Sample Inferred Adaptive Recoding for Batched Network Coding. - Jonathan Rodriguez, George P. Koudouridis, Xavier Gelabert, Muhammad Tayyab, Riccardo Bassoli, Frank H. P. Fitzek, Roberto Torre Arranz, Raed Abd-Alhameed, Maryam Sajedin, Issa T. E. Elfergani, Sarah Irum, Gerrit Schulte, Pedro Diogo, Fatma Marzouk, Marcus de Ree, Georgios Mantas, Ilias Politis:
Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G. - Indika Kumara, Willem-Jan van den Heuvel, Damian A. Tamburri:
QSOC: Quantum Service-Oriented Computing. - Théophile Chaumont-Frelet, Alexandre Ern, Martin Vohralík:
On the derivation of guaranteed and p-robust a posteriori error estimates for the Helmholtz equation. - Haiqi Liu, Xiaojing Shen, Zhiguo Wang, Fanqin Meng, Junfeng Wang, Pramod K. Varshney:
Randomized Multiple Model Multiple Hypothesis Tracking. - Chris Barrett, Alessio Guglielmi:
A Subatomic Proof System for Decision Trees. - Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar:
Canonical Saliency Maps: Decoding Deep Face Models. - Nishant Rai, Aidas Liaudanskas, Srinivas Rao, Rodrigo Ortiz Cayon, Matteo Munaro, Stefan Holzer:
Weak Multi-View Supervision for Surface Mapping Estimation. - Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul:
Optimal Algorithms for Range Searching over Multi-Armed Bandits. - Itay Berman, Iftach Haitner, Aris Tentes:
Coin Flipping of \emph{Any} Constant Bias Implies One-Way Functions. - Raphaël Joud, Pierre-Alain Moëllic, Rémi Bernhard, Jean-Baptiste Rigaud:
A Review of Confidentiality Threats Against Embedded Neural Network Models. - Roderick Karlemstrand, Ebba Leckström:
Using Twitter Attribute Information to Predict Stock Prices. - Mathieu Dumont, Pierre-Alain Moëllic, Raphael Andreoni Camponogara Viera, Jean-Max Dutertre, Rémi Bernhard:
An Overview of Laser Injection against Embedded Neural Network Models. - Diogo Seca:
TimeGym: Debugging for Time Series Modeling in Python. - Asmaa Alrushoud, Ning Lu:
A Two-Stage Coordinative Zonal Volt/VAR Control Scheme for Distribution Systems with High Inverter-based Resources. - Diogo Seca:
A Review on Oracle Issues in Machine Learning. - Itay Berman, Iftach Haitner, Ilan Komargodski, Moni Naor:
Hardness-Preserving Reductions via Cuckoo Hashing. - Xiao Yan, Zhixiong Di, Bowen Huang, Minjiang Li, Wenqiang Wang, Xiaoyang Zeng, Yibo Fan:
A Power and Area Efficient Lepton Hardware Encoder with Hash-based Memory Optimization. - Iftach Haitner, Jonathan J. Hoch, Omer Reingold, Gil Segev:
Finding Collisions in Interactive Protocols - Tight Lower Bounds on the Round and Communication Complexities of Statistically Hiding Commitments. - Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang:
Automatic Learning to Detect Concept Drift. - Burak Bartan, Mert Pilanci:
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. - Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari, Mónica Menéndez:
Learning Traffic Speed Dynamics from Visualizations. - Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On the Linear convergence of Natural Policy Gradient Algorithm. - Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik:
Two-Stage Facility Location Games with Strategic Clients and Facilities. - Nikita Polyanskii, Yihan Zhang:
Codes for the Z-channel. - Yingjun Shen, Zhe Song, Andrew Kusiak:
Enhancing Generalizability of Predictive Models with Synergy of Data and Physics. - Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir:
Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education. - Tim Keil, Mario Ohlberger:
Model Reduction for Large Scale Systems. - Michele Loi, Matthias Spielkamp:
Towards Accountability in the Use of Artificial Intelligence for Public Administrations. - Victor Guimarães, Vítor Santos Costa:
NeuralLog: a Neural Logic Language. - Daniel Grahn:
mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques. - Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. - Yunhao Zhou, Yi Wang, Lap-Pui Chau:
Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification. - Sara C. M. Souza, Rogério Atem de Carvalho:
Automated Driver Testing for Small Footprint Embedded Systems. - Florian Stertz, Juergen Mangler, Stefanie Rinderle-Ma:
The Role of Time and Data: Online Conformance Checking in the Manufacturing Domain. - Sagi Eppel, Haoping Xu, Alán Aspuru-Guzik:
Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction. - Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson:
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. - Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler:
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. - Iftach Haitner, Thomas Holenstein, Omer Reingold, Salil P. Vadhan, Hoeteck Wee:
Inaccessible Entropy II: IE Functions and Universal One-Way Hashing. - Jesper Nederlof, Michal Pilipczuk, Céline M. F. Swennenhuis, Karol Wegrzycki:
Isolation schemes for problems on decomposable graphs. - Lukas Stappen, Gerhard Hagerer, Björn W. Schuller, Georg Groh:
Unsupervised Graph-based Topic Modeling from Video Transcriptions. - Muhammad Zain Ali, Kashif Javed, Ehsan ul Haq, Anoshka Tariq:
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media. - Heng Guo, Mark Jerrum:
Counting vertices of integer polytopes defined by facets. - Luca Rossetto, Klaus Schoeffmann, Abraham Bernstein:
Insights on the V3C2 Dataset. - Keyvan Ramezanpour, Jithin Jagannath:
Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning. - Alberto Archetti, Marco Cannici, Matteo Matteucci:
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. - Garreth W. Tigwell, Kristen Shinohara, Laleh Nourian:
Accessibility Across Borders. - Wei-Chang Yeh:
Novel Algorithm for Computing All-Pairs Homogeneity-Arc Binary-State Undirected Network Reliability. - I-Hsuan Li:
Technical Report for Valence-Arousal Estimation on Affwild2 Dataset. - Carsten Carstensen, Sophie Puttkammer:
Direct guaranteed lower eigenvalue bounds with optimal a priori convergence rates for the bi-Laplacian. - Manuj Mukherjee, Ran Gelles:
Multiparty Interactive Coding over Networks of Intersecting Broadcast Links. - Rangan Das, Bikram Boote, Saumik Bhattacharya, Ujjwal Maulik:
Multipath Graph Convolutional Neural Networks. - Ruisi He, Bo Ai, Zhangdui Zhong, Mi Yang, Chen Huang, Ruifeng Chen, Jianwen Ding, Hang Mi, Zhangfeng Ma, Guiqi Sun, Changzhu Liu:
Radio Communication Scenarios in 5G-Railways. - Antonio Abu Nassar, Shaull Almagor:
Simulation by Rounds of Letter-to-Letter Transducers. - Yanbei Chen, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Where and When: Space-Time Attention for Audio-Visual Explanations. - Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard:
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding. - Andrea Pizzo, Luca Sanguinetti, Thomas L. Marzetta:
Holographic MIMO Communications. - Yichi Lu, Mingtian Gao, Ryosuke Saga:
Apparel Recommender System based on Bilateral image shape features. - Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen, Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen:
Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts. - Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong:
A Finer Calibration Analysis for Adversarial Robustness. - Heqing Huang, Tongbin Huang, Zhen Li, Zhiwei Wei, Shilei Lv:
Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation. - Guy Barash, Eitan Farchi, Sarit Kraus, Onn Shehory:
Broadly Applicable Targeted Data Sample Omission Attacks. - Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon:
Leveraging Third-Order Features in Skeleton-Based Action Recognition. - Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus:
PreSizE: Predicting Size in E-Commerce using Transformers. - Amy I. Parkes, Adam J. Sobey, D. A. Hudson:
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth. - Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang:
Effective Sparsification of Neural Networks with Global Sparsity Constraint. - Le-Anh Tran, Truong-Dong Do, Dong-Chul Park, My-Ha Le:
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS). - Stéphane Bessy, Florian Hörsch, Ana Karolinna Maia, Dieter Rautenbach, Ignasi Sau:
FPT algorithms for packing k-safe spanning rooted sub(di)graphs. - Anirban Ghatak, Sumanta Mukherjee:
Intersection Patterns in Optimal Binary (5, 3) Doubling Subspace Codes. - Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang:
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. - Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir:
Gaining Insights on Student Course Selection in Higher Education with Community Detection. - Lukas Brand, Sebastian Lotter, Vahid Jamali, Robert Schober:
Area Rate Efficiency in Molecular Communications. - Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. - Hermann Blum, Francesco Milano, René Zurbrügg, Roland Siegwart, Cesar Cadena, Abel Gawel:
Self-Improving Semantic Perception on a Construction Robot. - Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy:
MLP-Mixer: An all-MLP Architecture for Vision. - Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He:
Federated Multi-View Learning for Private Medical Data Integration and Analysis. - Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or:
Orienting Point Clouds with Dipole Propagation. - Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. - Ashley Peake, Joe McCalmon, Yixin Zhang, Daniel Myers, Sarra M. Alqahtani, Paúl Pauca:
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments. - Pasin Manurangsi, Warut Suksompong:
Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory. - Lars Töttel, Maximilian Zipfl, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality. - Sayan Bhattacharya, Peter Kiss:
Deterministic Rounding of Dynamic Fractional Matchings. - Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir Stack Machines. - Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. - Nicholas Carlini:
Poisoning the Unlabeled Dataset of Semi-Supervised Learning. - Chike Abuah, David Darais, Joseph P. Near:
Solo: Enforcing Differential Privacy Without Fancy Types. - Lukas Stappen, Alice Baird, Michelle Lienhart, Annalena Bätz, Björn W. Schuller:
An Estimation of Online Video User Engagement from Features of Continuous Emotions. - Pedro Albuquerque, Joao Machado, Tanmay Tulsidas Verlekar, Luís Ducla Soares, Paulo Lobato Correia:
Remote Pathological Gait Classification System. - Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter:
Learning 3D Granular Flow Simulations. - Mohammadreza Barzegaran, Niklas Reusch, Luxi Zhao, Silviu S. Craciunas, Paul Pop:
Real-Time Guarantees for Critical Traffic in IEEE 802.1Qbv TSN Networks with Unscheduled and Unsynchronized End-Systems. - Jun Wong, Jonathan Santoso, Marjorie Went, Daniel Sanchez:
Market Potential for CO2 Removal and Sequestration from Renewable Natural Gas Production in California. - Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek:
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. - Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler:
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. - Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. - Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. - Giordano Scarciotti, Andrew R. Teel:
On Moment Matching for Stochastic Systems. - Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres:
Height Estimation of Children under Five Years using Depth Images. - Toan Q. Nguyen, Kenton Murray, David Chiang:
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution. - Nan Wang, Meng Li, Chengming Huang:
Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation. - Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva, Cesar H. Comin, Luciano da Fontoura Costa:
On the Stability of Citation Networks. - Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. - Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames:
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. - Cong Li, Yongchao Wang, Fangzhou Liu, Qingchen Liu, Martin Buss:
Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation. - Wojciech Nadara, Mateusz Radecki, Marcin Smulewicz, Marek Sokolowski:
Determining 4-edge-connected components in linear time. - Amaya Dharmasiri, Chamara Manoj Madarasingha Kattadige, Vincent Zhang, Kanchana Thilakarathna:
Viewport-Aware Dynamic 360° Video Segment Categorization. - Chiheb Daaloul, Thibaut Le Gouic, Jacques Liandrat, Magali Tournus:
Sampling From the Wasserstein Barycenter. - Sherif G. Aly, Haidar Harmanani, Rajendra K. Raj, Sanaa Sharafeddine:
ABET Accreditation: A Way Forward for PDC Education. - Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
How do developers discuss and support new programming languages in technical Q&A site? An empirical study of Go, Swift, and Rust in Stack Overflow. - Weijun Tan, Hongwei Guo, Rushuai Liu:
A Fast Partial Video Copy Detection Using KNN and Global Feature Database. - Lu Zhang, Daniel Appelö, Thomas M. Hagstrom:
Energy-based discontinuous Galerkin difference methods for second-order wave equations. - Stanislava Fedorova:
GANs for Urban Design. - Jason Wu, Gabriel Reyes, Sam C. White, Xiaoyi Zhang, Jeffrey P. Bigham:
When Can Accessibility Help?: An Exploration of Accessibility Feature Recommendation on Mobile Devices. - Robert Mroczkowski, Piotr Rybak, Alina Wróblewska, Ireneusz Gawlik:
HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish. - Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. - A. A. Kaygorodtseva, A. V. Shutov:
Inspection of ratcheting models for pathological error sensitivity and overparametrization. - Massimo Benerecetti, Daniele Dell'Erba, Fabio Mogavero, Sven Schewe, Dominik Wojtczak:
Priority Promotion with Parysian Flair. - Francisco Holguin, G. S. Sidharth, Gavin Portwood:
Multigrid Solver With Super-Resolved Interpolation. - Matthew Duschenes, Krishna C. Garikipati:
Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs. - Maya Briani, Gabriella Puppo, Magali Ribot:
Angle dependence in coupling conditions for shallow water equations at canal junctions. - Pradeep Kr. Banerjee, Guido Montúfar:
Information Complexity and Generalization Bounds. - Ahmed Farag Seddik, Hassan Mostafa Ahmed:
Ovarian Cancer Detection based on Dimensionality Reduction Techniques and Genetic Algorithm. - Sen Zhan, Johan Morren, Wouter van den Akker, Anne van der Molen, Han Slootweg:
Optimal Real-time Coordination of Distributed Energy Resources in Low-voltage Grids. - Vishwas Bhargava, Shubhangi Saraf, Ilya Volkovich:
Reconstruction Algorithms for Low-Rank Tensors and Depth-3 Multilinear Circuits. - Matej Králik, Marek Suppa:
WaveGlove: Transformer-based hand gesture recognition using multiple inertial sensors. - Xavier Timoneda, Lukas Cavigelli:
Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. - Gopika Ajaykumar, Maureen Steele, Chien-Ming Huang:
A Survey on End-User Robot Programming. - Shlomi Dolev, Arseni Kalma:
Verifiable Computing Using Computation Fingerprints Within FHE. - Hao Sheng, Keniel Yao, Sharad Goel:
Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. - Lin Bai, Yiming Zhao, Xinming Huang:
3D Vehicle Detection Using Camera and Low-Resolution LiDAR. - Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Xiang Li, Jia Pan, Wenzhen Yuan:
Challenges and Outlook in Robotic Manipulation of Deformable Objects. - Shumeet Baluja:
Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures. - Sumudu Samarakoon, Jihong Park, Mehdi Bennis:
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations. - Charles Peasley, Rachel Dianiska, Emily Oldham, Nicholas Wilson, Stephen B. Gilbert, Peggy Wu, Brett W. Israelsen, James Oliver:
Evaluating Metrics for Standardized Benchmarking of Remote Presence Systems. - Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian:
Envisioning Communities: A Participatory Approach Towards AI for Social Good. - Alexandru-Iosif Toma, Hao-Ya Hsueh, Hussein Ali Jaafar, Riku Murai, Paul H. J. Kelly, Sajad Saeedi:
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms. - Zdenek Dvorák, Abhiruk Lahiri:
Approximation schemes for bounded distance problems on fractionally treewidth-fragile graphs. - Noah Singer, Madhu Sudan, Santhoshini Velusamy:
Streaming approximation resistance of every ordering CSP. - Zongchen Chen, Andreas Galanis, Daniel Stefankovic, Eric Vigoda:
Sampling Colorings and Independent Sets of Random Regular Bipartite Graphs in the Non-Uniqueness Region. - Rajesh Jayaram, John Kallaugher:
An Optimal Algorithm for Triangle Counting. - Declan Burke, Airlie Chapman, Iman Shames:
Fast Spline Trajectory Planning: Minimum Snap and Beyond. - Ranjan Pal, Ziyuan Huang, Xinlong Yin, Sergey V. Lototsky, Swades De, Sasu Tarkoma, Mingyan Liu, Jon Crowcroft, Nishanth Sastry:
Aggregate Cyber-Risk Management in the IoT Age: Cautionary Statistics for (Re)Insurers and Likes. - David Jones, Nathan Jacobs:
Intensity Harmonization for Airborne LiDAR. - Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
Real-time Deep Dynamic Characters. - Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. - Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence. - Shakti N. Wadekar, Benjamin J. Schwartz, Shyam S. Kannan, Manuel Mar, Rohan Kumar Manna, Vishnu Chellapandi, Daniel J. Gonzalez, Aly El Gamal:
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction. - Hiromichi Goko, Ayumi Igarashi, Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Yu Yokoi, Makoto Yokoo:
Fair and Truthful Mechanism with Limited Subsidy. - Zhe Yang, Klara Nahrstedt, Hongpeng Guo, Qian Zhou:
DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge. - Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer:
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. - Yuchen Ding, Zichen Li, David Yastremsky:
Real-time Face Mask Detection in Video Data. - Pankaj K. Agarwal, Xiao Hu, Stavros Sintos, Jun Yang:
Dynamic Enumeration of Similarity Joins. - Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Jessica MacBride:
ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19. - Qi Dai, Di Shen, Jinhong Wang, Suzhou Huang, Dimitar P. Filev:
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data. - Siddhartha Bishnu, Mark Peterson, Bryan D. Quaife:
On the Spatial and Temporal Order of Convergence of Hyperbolic PDEs. - Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi:
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval. - Qiao Zhang, Chunsheng Xin, Hongyi Wu:
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks. - Agnieszka Ciborowska, Aleksandar Chakarov, Rahul Pandita:
Contemporary COBOL: Developers' Perspectives on Defects and Defect Location. - Christian Konrad, Sriram V. Pemmaraju, Talal Riaz, Peter Robinson:
The Complexity of Symmetry Breaking in Massive Graphs. - Keisuke Imoto:
Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels. - Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao:
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. - Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu:
Encoder Fusion Network with Co-Attention Embedding for Referring Image Segmentation. - Yelin He, Xianbiao Qi, Jiaquan Ye, Peng Gao, Yihao Chen, Bingcong Li, Xin Tang, Rong Xiao:
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex. - Jiaquan Ye, Xianbiao Qi, Yelin He, Yihao Chen, Dengyi Gu, Peng Gao, Rong Xiao:
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML. - Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright:
Preference learning along multiple criteria: A game-theoretic perspective. - Tao Yu, Zerong Zheng, Kaiwen Guo, Pengpeng Liu, Qionghai Dai, Yebin Liu:
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors. - Harshad Sathaye, Gerald LaMountain, Pau Closas, Aanjhan Ranganathan:
SemperFi: A Spoofer Eliminating GPS Receiver for UAVs. - Pawel Parys:
Higher-Order Model Checking Step by Step. - Tianqi Yang:
Tree Path Minimum Query Oracle via Boruvka Trees. - Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska:
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. - Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh:
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. - Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro:
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. - Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon:
Modulating Regularization Frequency for Efficient Compression-Aware Model Training. - Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. - Mahdi Fahmideh, Jun Yan, Jun Shen, Davoud Mougouei, Yanlong Zhai, Aakash Ahmad:
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience. - M. Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begonya Fernandez-Ruanova, A. Gonzalez-Pinto:
The EMPATHIC Project: Mid-term Achievements. - Rui Huang, Yixuan Li:
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space. - Mahdi Fahmideh, John Grundy, Aakash Ahmed, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions. - Gautam Tata, Sarah-Jeanne Royer, Olivier Poirion, Jay Lowe:
DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models. - Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. - Tianhao Wu, Mingzhi Jiang, Yinhui Han, Zheng Yuan, Lin Zhang:
Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection. - Pol van Rijn, Silvan Mertes, Dominik Schiller, Peter M. C. Harrison, Pauline Larrouy-Maestri, Elisabeth André, Nori Jacoby:
Exploring emotional prototypes in a high dimensional TTS latent space. - Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang:
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. - (Withdrawn) Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy.
- Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
Improved feature extraction for CRNN-based multiple sound source localization. - Qijing Huang, Minwoo Kang, Grace Dinh, Thomas Norell, Aravind Kalaiah, James Demmel, John Wawrzynek, Yakun Sophia Shao:
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. - Tsung Wei Tsai, Chongxuan Li, Jun Zhu:
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering. - Nicolas Kuhn, David Fernandes, Emmanuel Dubois, David Pradas:
Impact of channel access and transport mechanisms on QoE in GEO-satellite based LTE backhauling systems. - Alexander Marx, Jilles Vreeken:
Formally Justifying MDL-based Inference of Cause and Effect. - Yaron Shoham, Gal Elidan:
Solving Sokoban with forward-backward reinforcement learning. - Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner:
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. - Daniel Westerman Spier, Eduardo Prieto-Araujo, Joaquim López-Mestre, Oriol Gomis-Bellmunt:
Improved current reference calculation for MMCs interal energy balancing control. - Ruo Li, Qicheng Liu, Fanyi Yang:
A discontinuous least squares finite element method for Helmholtz equations. - Katie Winkle, Emmanuel Senft, Séverin Lemaignan:
LEADOR: A Method for End-to-End Participatory Design of Autonomous Social Robots. - Samin Aref, Zachary P. Neal:
Optimally partitioning signed networks based on generalized balance. - Puzuo Wang, Wei Yao:
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation. - Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, Andreas Zell:
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water. - Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. - Simon Razniewski:
Commonsense Knowledge Base Construction in the Age of Big Data. - Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu:
Instances as Queries. - Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic:
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing. - Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. - Jing Gao, Tilo Burghardt, William Andrew, Andrew W. Dowsey, Neill W. Campbell:
Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset. - Péter Tamás Kovács, Marcell Nagy, Roland Molontay:
Comparative Analysis of Box-Covering Algorithms for Fractal Networks. - Sarah Eberle, Bastian Harrach:
Shape Reconstruction in Linear Elasticity: One-step Linearization and Monotonicity-based Regularization. - Giorgos Demosthenous, Vassilis Vassiliades:
Continual Learning on the Edge with TensorFlow Lite. - Marcin Hoffmann, Pawel Kryszkiewicz:
Similarity Measures for Location-Dependent MMIMO, 5G Base Stations On/Off Switching Using Radio Environment Map. - Peter Wallis:
Mind Reading at Work: Cooperation without common ground. - Rustam Kumar:
An Ensemble Forecasting Technique for Photovoltaic Power Generation. - Kin-Ming Wong:
Multi-scale Image Decomposition using a Local Statistical Edge Model. - Mohammed-Amr Abd El-Migid, Damon Cai, Thomas Niven, Jeffrey Vo, Kashumi Madampe, John C. Grundy, Rashina Hoda:
Emotimonitor: A Trello Power-Up to Capture Emotions of Agile Teams. - Anish Tondwalkar, Matthew Kolosick, Ranjit Jhala:
Refinements of Futures Past: Higher-Order Specification with Implicit Refinement Types (Extended Version). - Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky:
Perceptual Gradient Networks. - Iftach Haitner, Noam Mazor, Rotem Oshman, Omer Reingold, Amir Yehudayoff:
On the Communication Complexity of Key-Agreement Protocols. - Matthew Watson, Noura Al Moubayed:
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. - Youjia Zhou, Nathaniel Saul, Ilkin Safarli, Bala Krishnamoorthy, Bei Wang:
Stitch Fix for Mapper and Information Gains. - Nikhil S. Mande, Swagato Sanyal:
One-way communication complexity and non-adaptive decision trees. - Cetin Tuker, Togan Tong:
Comparing Field Trips, VR Experiences and Video Representations on Spatial Layout Learning in Complex Buildings. - Marius Schlegel:
Trusted Enforcement of Application-specific Security Policies. - Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon:
ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. - Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards. - Nidhi Mishra, Gauri Tulsulkar, Hanhui Li, Nadia Magnenat-Thalmann:
Does elderly enjoy playing Bingo with a robot? A case study with the humanoid robot Nadine. - Nimish Shah, Wannes Meert, Marian Verhelst:
GRAPHOPT: constrained optimization-based parallelization of irregular graphs. - Huma Samin, Luis Hernán García Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks:
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. - Ian Benson:
The Logic of Collective Action Revisited. - Silverio Martínez-Fernández, Justus Bogner, Xavier Franch, Marc Oriol, Julien Siebert, Adam Trendowicz, Anna Maria Vollmer, Stefan Wagner:
Software Engineering for AI-Based Systems: A Survey. - Jonathan Falk, Heiko Geppert, Frank Dürr, Sukanya Bhowmik, Kurt Rothermel:
Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows with Conflict Graphs. - Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis:
Evaluation Of Word Embeddings From Large-Scale French Web Content. - Yu Li, Josh Arnold, Feifan Yan, Weiyan Shi, Zhou Yu:
LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing. - Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo:
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. - Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu:
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. - Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao, Marco Heurich:
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. - Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang:
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. - Bocong Chen, Guanghui Zhang:
Improved Singleton bound on insertion-deletion codes and optimal constructions. - Seif Ben Bader, Helmut Harbrecht, Rolf Krause, Michael D. Multerer, Alessio Quaglino, Marc Schmidlin:
Space-time multilevel quadrature methods and their application for cardiac electrophysiology. - Jan Quenzel, Sven Behnke:
Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization. - Ezio Bartocci, Thomas Ferrère, Thomas A. Henzinger, Dejan Nickovic, Ana Oliveira da Costa:
Flavours of Sequential Information Flow. - Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong, Blesson Varghese:
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer. - Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl, Martin J. Schuster, Armin Wedler, Rudolph Triebel:
Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps. - Lars Gottesbüren, Tobias Heuer, Peter Sanders, Christian Schulz, Daniel Seemaier:
Deep Multilevel Graph Partitioning. - Aaron Beigelbeck, Maurício Aniche, Jürgen Cito:
Interactive Static Software Performance Analysis in the IDE. - Andrea Ferrero, Tommaso Taddei, Lei Zhang:
Registration-based model reduction of parameterized two-dimensional conservation laws. - Daniel Weber, Clemens Gühmann:
Non-Autoregressive vs Autoregressive Neural Networks for System Identification. - Ross Horne, Sjouke Mauw, Semen Yurkov:
Breaking and Fixing Unlinkability of the Key Agreement Protocol for 2nd Gen EMV Payments. - Nikhil Patnaik, Andrew C. Dwyer, Joseph Hallett, Awais Rashid:
Don't forget your classics: Systematizing 45 years of Ancestry for Security API Usability Recommendations. - Johanna Björklund, Frank Drewes, Anna Jonsson:
Polynomial Graph Parsing with Non-Structural Reentrancies. - Juan Pablo Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings. - Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. - Weihong Ma, Hesuo Zhang, Shuang Yan, Guangshun Yao, Yichao Huang, Hui Li, Yaqiang Wu, Lianwen Jin:
Towards an efficient framework for Data Extraction from Chart Images. - Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation. - Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Meng Wang:
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation. - Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn:
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. - Ilaria Malanchini, Patrick Agostini, Khurshid Alam, Michael Baumgart, Martin Kasparick, Qi Liao, Fabian Lipp, Nikolaj Marchenko, Nicola Michailow, Rastin Pries, Hans D. Schotten, Slawomir Stanczak, Stanislaw Strzyz:
Leveraging Machine Learning for Industrial Wireless Communications. - Susanne Albers, Alexander Eckl:
Scheduling with Testing on Multiple Identical Parallel Machines. - Wei Suo, Mengyang Sun, Peng Wang, Qi Wu:
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention. - Chengli Tan, Jiangshe Zhang, Junmin Liu:
Understanding Long Range Memory Effects in Deep Neural Networks. - Zhongjie Lu:
Auxiliary iterative schemes for the discrete operators on de Rham complex. - Armin Küper, Steffen Waldherr:
Numerical Gaussian process Kalman filtering for spatiotemporal systems. - Thibault Pirson, David Bol:
Assessing the embodied carbon footprint of IoT edge devices with a bottom-up life-cycle approach. - Shay Solomon:
Local Algorithms for Bounded Degree Sparsifiers in Sparse Graphs. - Yuyang Gao, Giorgio A. Ascoli, Liang Zhao:
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. - Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters:
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. - Youshan Zhang, Brian D. Davison:
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation. - Avijit Ghosh, Ritam Dutt, Christo Wilson:
When Fair Ranking Meets Uncertain Inference. - Amos Korman, Pierluigi Crescenzi:
Public Communication can Facilitate Low-Risk Coordination under Surveillance. - Yury Korolev:
Two-layer neural networks with values in a Banach space. - Soumi Maiti, Hakan Erdogan, Kevin W. Wilson, Scott Wisdom, Shinji Watanabe, John R. Hershey:
End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings. - Giulia Perugia, Maike Paetzel-Prüsmann, Isabelle Hupont, Giovanna Varni, Mohamed Chetouani, Christopher Edward Peters, Ginevra Castellano:
Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents. - Frantisek Blahoudek, Petr Novotný, Melkior Ornik, Pranay Thangeda, Ufuk Topcu:
Efficient Strategy Synthesis for MDPs with Resource Constraints. - Maria Dimitropoulou, Constantinos Psomas, Ioannis Krikidis:
Generalized Selection in Wireless Powered Networks with Non-Linear Energy Harvesting. - Lorena Palmero, Ugur Saritac, Ali Dehghan Chaharabi:
Optimal Phasor Measurement Unit Placement Using a Honey Bee Mating Optimization (HBMO) Technique Considering Measurement Loss and Line Outages. - Evgeny Smirnov, Nikita Garaev, Vasiliy Galyuk:
Prototype Memory for Large-scale Face Representation Learning. - Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. - Zheyuan Zhu, Andrew B. Klein, Guifang Li, Shuo S. Pang:
Fixed-point iterative linear inverse solver with extended precision. - Baobao Zhang, Markus Anderljung, Lauren Kahn, Noemi Dreksler, Michael C. Horowitz, Allan Dafoe:
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. - Olga Labazova, Erol Kazan, Tobias Dehling, Tuure Tuunanen, Ali Sunyaev:
Managing Blockchain Systems and Applications: A Process Model for Blockchain Configurations. - Pontus Johnson:
Intrinsic Propensity for Vulnerability in Computers? Arbitrary Code Execution in the Universal Turing Machine. - Zhe Ji, Lin Fu:
A class of new high-order finite-volume TENO schemes for hyperbolic conservation laws with unstructured meshes. - Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra:
Self-Supervised Learning from Automatically Separated Sound Scenes. - Massimo Bini, Paolo Frasca, Chiara Ravazzi, Fabrizio Dabbene:
Graph structure based Heuristics for Optimal Targeting in Social Networks. - Denis Belomestny, Ilya Levin, Eric Moulines, Alexey Naumov, Sergey Samsonov, Veronika Zorina:
Model-free policy evaluation in Reinforcement Learning via upper solutions. - Camille Carvalho, Arnold D. Kim, Lori Lewis, Zoïs Moitier:
Quadrature by Parity Asymptotic eXpansions (QPAX) for scattering by high aspect ratio particles. - Benjamin Rivière, Soon-Jo Chung:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. - Daniele Giunchi, Alejandro Sztrajman, Stuart James, Anthony Steed:
Mixing Modalities of 3D Sketching and Speech for Interactive Model Retrieval in Virtual Reality. - Suayb S. Arslan, Massoud Pourmandi, Elif Haytaoglu:
Cooperative Network Coding for Distributed Storage using Base Stations with Link Constraints. - Miran Hama Rahim Saeed, Bryar Ahmad Hassan, Shko M. Qader:
An Optimized Framework to Adopt Computer Laboratory Administrations for Operating System and Application Installations. - Rong Huang, Wei Yao, Yusheng Xu, Zhen Ye, Uwe Stilla:
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features. - Cristina Matache, Sean K. Moss, Sam Staton:
Recursion and Sequentiality in Categories of Sheaves. - Zizheng Que, Guo Lu, Dong Xu:
VoxelContext-Net: An Octree based Framework for Point Cloud Compression. - Abdulaziz Alaboudi, Thomas D. LaToza:
An Exploratory Study of Debugging Episodes. - Mária Lukácová-Medvidová, Yuhuan Yuan:
Convergence of first-order Finite Volume Method based on Exact Riemann Solver for the Complete Compressible Euler Equations. - René Bødker Christensen, Carlos Munuera, Francisco Revson Fernandes Pereira, Diego Ruano:
An Algorithmic Approach to Entanglement-Assisted Quantum Error-Correcting Codes from the Hermitian Curve. - Roya Firoozi, Sara Sattarzadeh, Satadru Dey:
Cylindrical Battery Fault Detection under Extreme Fast Charging: A Physics-based Learning Approach. - Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. - Zhixiang Chen, Tae-Kyun Kim:
Learning Feature Aggregation for Deep 3D Morphable Models. - Laura Boeschoten, Roos Voorvaart, Casper S. Kaandorp, Ruben van den Goorbergh, Martine de Vos:
Automatic de-identification of Data Download Packages. - Caroline Pitt, Adam Bell, Brandyn S. Boyd, Nikki Demmel, Katie Davis:
Connected Learning, Collapsed Contexts. - Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo:
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond. - Vamsi K. Amalladinne, Jean-François Chamberland, Krishna R. Narayanan:
Coded Compressed Sensing with Successive Cancellation List Decoding for Unsourced Random Access with Massive MIMO. - Dylan Stewart, Alina Zare, Sergio Marconi, Ben G. Weinstein, Ethan P. White, Sarah Graves, Stephanie A. Bohlman, Aditya Singh:
Addressing Annotation Imprecision for Tree Crown Delineation Using the RandCrowns Index. - Caroline Pitt, Ari Hock, Leila Zelnick, Katie Davis:
The Kids Are / Not / Sort of All Right. - Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries. - Dan Xu, Andrea Vedaldi, João F. Henriques:
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes. - Olivier Vincent, Charley Gros, Julien Cohen-Adad:
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation. - Tyler Millhouse, Melanie Moses, Melanie Mitchell:
Foundations of Intelligence in Natural and Artificial Systems: A Workshop Report. - Shimin Wang, Zhan Shu, Tongwen Chen:
Cooperative Output Regulation with Mixed Time- and Event-triggered Observers. - Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao:
PD-GAN: Probabilistic Diverse GAN for Image Inpainting. - Mats G. Larson, Sara Zahedi:
Conservative Discontinuous Cut Finite Element Methods. - Amirsaeed Yazdani, Tiantong Guo, Vishal Monga:
Physically Inspired Dense Fusion Networks for Relighting. - Luca de Benedictis, Silvia Leoni:
Inclusive Universities. Evidence from the Erasmus Program. - Marziyeh Soltani, Mahtab Mirmohseni, Panos Papadimitratos:
Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers. - Junhwa Hur, Stefan Roth:
Self-Supervised Multi-Frame Monocular Scene Flow. - Kurtland Chua, Qi Lei, Jason D. Lee:
How Fine-Tuning Allows for Effective Meta-Learning. - Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. - Mingao Yuan, Zuofeng Shang:
Information Limits for Detecting a Subhypergraph. - Ryan Gabbard, Deniz Beser, Jacob A. Lichtefeld, Joe Cecil, Mitch Marcus, Sarah R. B. Payne, Charles Yang, Marjorie Freedman:
ADAM: A Sandbox for Implementing Language Learning. - Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni:
Human Activity Recognition Models in Ontology Networks. - Cihan Tepedelenlioglu:
Portfolio Growth Rate and Ergodic Capacity of Fading Channels. - Maximilian Bernkopf, Stefan A. Sauter, Céline Torres, Alexander Veit:
Solvability of Discrete Helmholtz Equations. - Donald Metzler, Yi Tay, Dara Bahri, Marc Najork:
Rethinking Search: Making Experts out of Dilettantes. - Cihan Tepedelenlioglu:
Channel Inclusion Beyond Discrete Memoryless Channels. - Zihao Wang, Hervé Delingette:
Attention for Image Registration (AiR): an unsupervised Transformer approach. - Carmine Dodaro, Giuseppe Galatà, Muhammad Kamran Khan, Marco Maratea, Ivan Porro:
Operating Room (Re)Scheduling with Bed Management via ASP. - Bartosz Jaroszkowski, Max Jensen:
Finite Element Methods for Isotropic Isaacs Equations with Viscosity and Strong Dirichlet Boundary Conditions. - Alireza Askarian, Jaesang Park, Srinivasa M. Salapaka:
Control Design for Inverters: Beyond Steady-State Droop Laws. - Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram:
Byzantine-Robust and Privacy-Preserving Framework for FedML. - Rawad Bitar, Serge Kas Hanna, Nikita Polyanskii, Ilya Vorobyev:
Optimal Codes Correcting Localized Deletions. - Jens Kosiol, Gabriele Taentzer:
A Generalized Concurrent Rule Construction for Double-Pushout Rewriting. - Lorenzo Natale, Chiara Bartolozzi, Francesco Nori, Giulio Sandini, Giorgio Metta:
iCub. - Marco Serafini, Hui Guan:
Scalable Graph Neural Network Training: The Case for Sampling. - Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. - Kishor Jothimurugan, Matthew Andrews, Jeongran Lee, Lorenzo Maggi:
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics. - Qingkai Zhen, Di Huang, Yunhong Wang, Hassen Drira, Boulbaba Ben Amor, Mohamed Daoudi:
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition. - Zhongqi Miao, Ziwei Liu, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz:
Iterative Human and Automated Identification of Wildlife Images. - Zsigmond Benko, Zoltán Somogyvári:
Reconstructing common latent input from time series with the mapper-coach network and error backpropagation. - Wei Guo, Marc Brittain, Peng Wei:
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance. - Simone Rodigari, Donna O'Shea, Pat McCarthy, Martin McCarry, Seán McSweeney:
Performance Analysis of Zero-Trust multi-cloud. - Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla:
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. - Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius:
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. - Tae Myung Huh, Kate Sanders, Michael Danielczuk, Monica S. Li, Ken Goldberg, Hannah S. Stuart:
A Multi-Chamber Smart Suction Cup for Adaptive Gripping and Haptic Exploration. - Pavlos Sermpezis, Vasileios Kotronis, Konstantinos Arakadakis, Athena Vakali:
Estimating the Impact of BGP Prefix Hijacking. - Necati Cihan Camgöz, Ben Saunders, Guillaume Rochette, Marco Giovanelli, Giacomo Inches, Robin Nachtrab-Ribback, Richard Bowden:
Content4All Open Research Sign Language Translation Datasets. - (Withdrawn) Uniqueness typing for intersection types.
- Elena Bachini, Gianmarco Manzini, Mario Putti:
Arbitrary-order intrinsic virtual element method for elliptic equations on surfaces. - Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. - Samanta Knapic, Avleen Malhi, Rohit Saluja, Kary Främling:
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain. - Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks. - Borja Bovcon, Jon Muhovic, Dusko Vranac, Dean Mozetic, Janez Pers, Matej Kristan:
MODS - A USV-oriented object detection and obstacle segmentation benchmark. - Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Universal Algorithms for Clustering. - William Chen, Kensal Ramos, Kalyan Naidu Mullaguri:
Genetic Algorithms For Extractive Summarization. - Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. - Arvin Tashakori:
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network. - Erica Cooper, Junichi Yamagishi:
How do Voices from Past Speech Synthesis Challenges Compare Today? - Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu:
A Geometric Analysis of Neural Collapse with Unconstrained Features. - Jiayin Chen, Hendra I. Nurdin:
A Small-Gain Theorem for Discrete-Time Convergent Systems and Its Applications. - Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. - Noah Ziems, Shaoen Wu:
Security Vulnerability Detection Using Deep Learning Natural Language Processing. - Hao Zhong, Na Meng:
Migrating Client Code without Change Examples. - Zeliang Song, Xiaofei Zhou:
Exploring Explicit and Implicit Visual Relationships for Image Captioning. - Jaehyup Lee, Soomin Seo, Munchurl Kim:
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery. - Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery. - Nicole Chi, Emma Lurie, Deirdre K. Mulligan:
Reconfiguring Diversity and Inclusion for AI Ethics. - Jinpu Zhang, Yuehuan Wang:
Spatio-Temporal Matching for Siamese Visual Tracking. - Zhi Wang, Wenwu Zhu, Lifeng Sun, Han Hu, Ge Ma, Ming Ma, Haitian Pang, Jiahui Ye, Hongshan Li:
Multimedia Edge Computing. - Tong Wang, Jingyi Yang, Yunyi Li, Boxiang Wang:
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning. - Wenqi Zhao, Liangcai Gao, Zuoyu Yan, Shuai Peng, Lin Du, Ziyin Zhang:
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer. - Hiren Galiyawala, Mehul S. Raval:
Person Retrieval in Surveillance Using Textual Query: A Review. - Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. - Joshua J. Daymude, Andréa W. Richa, Christian Scheideler:
The Canonical Amoebot Model: Algorithms and Concurrency Control. - Mingchang Ding, Jing-Mei Qiu, Ruiwen Shu:
Semi-Lagrangian nodal discontinuous Galerkin method for the BGK Model. - Gaoang Wang, Yizhou Wang, Renshu Gu, Weijie Hu, Jenq-Neng Hwang:
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking. - Zhi Feng, Guoqiang Hu:
Resilient Time-Varying Output Formation Tracking of Linear Multi-Agent Systems Against Unbounded FDI Sensor Attacks and Unreliable Digraphs. - Shyan Akmal, Ce Jin:
Faster Algorithms for Bounded Tree Edit Distance. - Jingtan Piao, Keqiang Sun, Kwan-Yee Lin, Quan Wang, Hongsheng Li:
Inverting Generative Adversarial Renderer for Face Reconstruction. - Taotao Jing, Hongfu Liu, Zhengming Ding:
Towards Novel Target Discovery Through Open-Set Domain Adaptation. - Ignacio M. Delgado-Lozano, Macarena C. Martínez-Rodríguez, Alexandros Bakas, Billy Bob Brumley, Antonis Michalas:
Attestation Waves: Platform Trust via Remote Power Analysis. - Kanghao Zhang, Shulin He, Hao Li, Xueliang Zhang:
DBNet: A Dual-branch Network Architecture Processing on Spectrum and Waveform for Single-channel Speech Enhancement. - Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guang Wei Yu:
Weakly Supervised Action Selection Learning in Video. - Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. - Robert J. Colvin:
Parallelized sequential composition, pipelines, and hardware weak memory models. - Peizhuo Li, Kfir Aberman, Rana Hanocka, Libin Liu, Olga Sorkine-Hornung, Baoquan Chen:
Learning Skeletal Articulations with Neural Blend Shapes. - Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, Xinyu Jin:
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. - Manh Duong Phung, Cong Hoang Quach, Quang Vinh Tran:
Development of a Fast and Robust Gaze Tracking System for Game Applications. - Takaya Shin, Kiminao Kogiso:
Sensor-less Angle and Stiffness Control of Antagonistic PAM Actuator Using Reference Set. - Kehong Gong, Jianfeng Zhang, Jiashi Feng:
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. - Alexander Sprogø Banks, Marek Kisiel, Philip Korsholm:
Remote Attestation: A Literature Review. - Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. - Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart:
Relative stability toward diffeomorphisms in deep nets indicates performance. - Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt:
Generalized Multimodal ELBO. - Milan Gritta, Ignacio Iacobacci:
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment. - Zahra Montazeri, Søren B. Gammelmark, Henrik Wann Jensen, Shuang Zhao:
A Practical Ply-Based Appearance Modeling for Knitted Fabrics. - Li-Hsin Chang, Sampo Pyysalo, Jenna Kanerva, Filip Ginter:
Quantitative Evaluation of Alternative Translations in a Corpus of Highly Dissimilar Finnish Paraphrases. - Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu:
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking. - Fabio Valerio Massoli, Donato Cafarelli, Claudio Gennaro, Giuseppe Amato, Fabrizio Falchi:
MAFER: a Multi-resolution Approach to Facial Expression Recognition. - Siqi Bao, Bingjin Chen, Huang He, Xin Tian, Han Zhou, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Yingzhan Lin:
A Unified Pre-training Framework for Conversational AI. - Jongmin Choi, Dahye Jeong, Hee-Kap Ahn:
Covering Convex Polygons by Two Congruent Disks. - Lison Blondeau-Patissier, Pierre Clairambault:
Positional Injectivity for Innocent Strategies. - Abulhair Saparov, Tom M. Mitchell:
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. - Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, Ram Rajagopal:
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond. - Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction. - Yue Song, Nicu Sebe, Wei Wang:
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? - Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li, Shuigeng Zhou:
Federated Face Recognition. - Pau Vilimelis Aceituno:
Minimizing costs of communication with random constant weight codes. - Kacper Pluta, Michal Edelstein, Amir Vaxman, Mirela Ben-Chen:
PH-CPF: Planar Hexagonal Meshing using Coordinate Power Fields. - Dengfeng Ke, Jinsong Zhang, Yanlu Xie, Yanyan Xu, Binghuai Lin:
Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU. - Tareq Si Salem, Gabriele Castellano, Giovanni Neglia, Fabio Pianese, Andrea Araldo:
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees. - Gokce Hacioglu, Kadir Türk, Cenk Albayrak:
Optical OFDM Waveform Construction by Combining Real and Imaginary Parts of IDFT. - Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li:
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge. - Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao:
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. - Seyed Mehdi Ayyoubzadeh, Ali Royat:
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment. - David Berend:
Distribution Awareness for AI System Testing. - Vasileios Koutavas, Yu-Yang Lin, Nikos Tzevelekos:
There and Back Again: From Bounded Checking to Verification of Program Equivalence via Symbolic Up-to Techniques. - Xiaofeng Cao, Ivor W. Tsang:
Bayesian Active Learning by Disagreements: A Geometric Perspective. - Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation. - Guangting Wang, Yizhou Zhou, Chong Luo, Wenxuan Xie, Wenjun Zeng, Zhiwei Xiong:
Unsupervised Visual Representation Learning by Tracking Patches in Video. - Johannes Müller, Marius Zeinhofer:
Notes on Exact Boundary Values in Residual Minimisation. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. - Clemens Hutter, Recep Gül, Helmut Bölcskei:
Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems. - Blair Archibald, Muffy Calder, Michele Sevegnani:
Probablistic Bigraphs. - Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik:
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network. - Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. - Zhuoran He, Tingtao Zhou:
A model for cooperative scientific research inspired by the ant colony algorithm. - Byeongjoon Noh, Hwasoo Yeo:
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure. - Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. - Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Local Relation Learning for Face Forgery Detection. - Blair Archibald, Muffy Calder, Michele Sevegnani, Mengwei Xu:
Modelling and Verifying BDI Agents with Bigraphs. - Yeo-Jin Kim, Min Chi:
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning. - Byeongjoon Noh, Dongho Ka, David Lee, Hwasoo Yeo:
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City. - Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer:
TABBIE: Pretrained Representations of Tabular Data. - Bi-Ying Yan, Chao Yang, Feng Chen, Kohei Takeda, Changjun Wang:
FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting. - Martin D. Buhmann, Janin Jäger:
Strict positive definiteness of convolutional and axially symmetric kernels on d-dimensional spheres. - Soumajyoti Sarkar:
Bandit based centralized matching in two-sided markets for peer to peer lending. - Samson Tan, Shafiq R. Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan:
Reliability Testing for Natural Language Processing Systems. - John Törnblom, Simin Nadjm-Tehrani:
Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles. - Matthieu Guillot, El-Houssaine Aghezzaf, Nour-Eddin El Faouzi, Angelo Furno:
Optimal Subgraph on Disturbed Network. - Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Language Models for Linked Text Representation. - Panagiotis Gkikopoulos, Valerio Schiavoni, Josef Spillner:
Analysis and Improvement of Heterogeneous Hardware Support in Docker Images. - Mohammed Gharib, Fatemeh Afghah:
How UAVs' Highly Dynamic 3D Movement Improves Network Security? - Dariusz Dereniowski, Lukasz Kuszner, Robert Ostrowski:
Searching by Heterogeneous Agents. - Shibashis Guha, Ismaël Jecker, Karoliina Lehtinen, Martin Zimmermann:
A Bit of Nondeterminism Makes Pushdown Automata Expressive and Succinct. - Hamid Tabani, Ajay Balasubramaniam, Elahe Arani, Bahram Zonooz:
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices. - Asra Aslam, Ekram Khan, Mohammad Samar Ansari, M. M. Sufyan Beg:
A Novel Falling-Ball Algorithm for Image Segmentation. - Shuai Sun, Yilin Mo:
Security Protection in Cooperative Control of Multi-agent Systems. - Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting. - Anish Karpurapu, Adam Krekorian, Ye Tian, Leslie M. Collins, Ravi Karra, Aaron D. Franklin, Boyla O. Mainsah:
Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions. - Varun Nagaraj Rao, Xingjian Zhen, Karen Hovsepian, Mingwei Shen:
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations. - Yifan Hou, Mrinmaya Sachan:
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. - Han Xu, Zhenjiang Hu:
Analytical Differential Calculus with Integration. - Ömer Sümer, Cigdem Beyan, Fabian Ruth, Olaf Kramer, Ulrich Trautwein, Enkelejda Kasneci:
Estimating Presentation Competence using Multimodal Nonverbal Behavioral Cues. - Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen:
Cascade Image Matting with Deformable Graph Refinement. - Maximilian Bittens:
Technical Report: Virtual X-ray imaging for higher-order finite element results. - Yanzhe Bekkemoen, Helge Langseth:
Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities. - Khalid Alhazmi, Fahad Albalawi, S. Mani Sarathy:
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors. - George Chrysostomou, Nikolaos Aletras:
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. - Tatsuya Sakai, Takayuki Nagai:
Explainable Autonomous Robots: A Survey and Perspective. - Felipe Boeira, Mikael Asplund:
Exploiting Partial Order of Keys to Verify Security of a Vehicular Group Protocol. - Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis:
VideoLT: Large-scale Long-tailed Video Recognition. - Andrés Fielbaum, Rafal Kucharski, Oded Cats, Javier Alonso-Mora:
How to split the costs among travellers sharing a ride? Aligning system's optimum with users' equilibrium. - Tatsuya Sakai, Kazuki Miyazawa, Takato Horii, Takayuki Nagai:
A Framework of Explanation Generation toward Reliable Autonomous Robots. - Paul Moran, Leroy-Francisco Pereira, Anbuchezhiyan Selvaraju, Tejash Prakash, Pantelis Ermilios, John McDonald, Jonathan Horgan, Ciarán Eising:
A 2.5D Vehicle Odometry Estimation for Vision Applications. - François Le Gall, Harumichi Nishimura, Abuzer Yakaryilmaz:
Quantum Logarithmic Space and Post-selection. - Pierre Colombo, Chloé Clavel, Pablo Piantanida:
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. - Francisco M. Fernández, Javier Garcia:
On the Majorana solution to the Thomas-Fermi equation. - Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang:
Learning to Perturb Word Embeddings for Out-of-distribution QA. - Jia-Xing Zhong, Hongbo Zhang:
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection. - Bryar Ahmad Hassan, Aram Mahmood Ahmed, Soran Saeed, Awin A. Saeed:
Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model. - Panagiotis Kanellopoulos, Maria Kyropoulou, Alexandros A. Voudouris:
Not all Strangers are the Same: The Impact of Tolerance in Schelling Games. - Ryo Tanabe, Harsh Purohit, Kota Dohi, Takashi Endo, Yuki Nikaido, Toshiki Nakamura, Yohei Kawaguchi:
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions. - Martin Obaidi, Jil Klünder:
Development and Application of Sentiment Analysis Tools in Software Engineering: A Systematic Literature Review. - Roman V. Yampolskiy:
AI Risk Skepticism. - Thi Thanh Van Nguyen, Manh Duong Phung, Thuan Hoang Tran, Quang Vinh Tran:
Mobile Robot Localization Using Fuzzy Neural Network Based Extended Kalman Filter. - Bryar Ahmad Hassan:
Towards Semantic Web: Challenges and Needs. - Lisandro Ubiedo, Thomas O'Hara, María José Erquiaga, Sebastián García:
Current State of IPv6 Security in IoT. - Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. - Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Heterogeneous Facility Location with Limited Resources. - Dvir Ginzburg, Dan Raviv:
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration. - Hidenori Tanaka, Daniel Kunin:
Noether's Learning Dynamics: The Role of Kinetic Symmetry Breaking in Deep Learning. - Chouaib Bencheikh Lehocine, Fredrik Brännström, Erik G. Ström:
Robust Analog Beamforming for Periodic Broadcast V2V Communication. - Luke Melas-Kyriazi:
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet. - Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman:
CrossWalk: Fairness-enhanced Node Representation Learning. - Marvin Lerousseau, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch:
Sparse convolutional context-aware multiple instance learning for whole slide image classification. - Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao:
Solve routing problems with a residual edge-graph attention neural network. - Alexandra Sasha Luccioni, Joseph D. Viviano:
What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus. - Giacomo Paesani, Daniël Paulusma, Pawel Rzazewski:
Feedback Vertex Set and Even Cycle Transversal for H-Free Graphs: Finding Large Block Graphs. - Marija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas:
Digital Voodoo Dolls. - Zizhen Zhang, Zhiyuan Wu, Jiahai Wang:
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems. - Christopher Kissel, Christopher Kümmel, Dennis Ritter, Kristian Hildebrand:
Pose-Guided Sign Language Video GAN with Dynamic Lambda. - Charles Champagne Cossette, Alex Walsh, James Richard Forbes:
The Complex-Step Derivative Approximation on Matrix Lie Groups. - Sanya Bathla Taneja, Richard D. Boyce, William T. Reynolds, Denis Newman-Griffis:
Introducing Information Retrieval for Biomedical Informatics Students. - Elena A. Petrova, Arseny M. Shur:
Branching Frequency and Markov Entropy of Repetition-Free Languages. - Dimitrios Tsarapatsanis, Nikolaos Aletras:
On the Ethical Limits of Natural Language Processing on Legal Text. - Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, Amílcar Soares, Maria João Pereira, Nuno Jardim Nunes, Leonardo Azevedo, Arlindo L. Oliveira:
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks. - Erfan Aasi, Cristian Ioan Vasile, Calin Belta:
A Control Architecture for Provably-Correct Autonomous Driving. - Petar Velickovic, Charles Blundell:
Neural Algorithmic Reasoning. - Felipe Falcón, Gonzalo España, Danilo Bórquez-Paredes:
Flex Net Sim: A Lightly Manual. - Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas:
Identifying critical higher-order interactions in complex networks. - Sven Knüfer, Matthias A. Müller:
Nonlinear Full Information and Moving Horizon Estimation: Robust Global Asymptotic Stability. - Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti:
Computer-Aided Design as Language. - Yfke Dulek, Stacey Jeffery, Christian Majenz, Christian Schaffner, Florian Speelman, Ronald de Wolf:
A Guide for New Program Committee Members at Theoretical Computer Science Conferences. - Carlos Eduardo Maldonado:
Total Novel and Complexity. Literature and Complexity Science. - Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. - Yi Ding, Neethu Robinson, Qiuhao Zeng, Cuntai Guan:
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface. - Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein:
ACORN: Adaptive Coordinate Networks for Neural Scene Representation. - Harry Halpin:
Holistic Privacy and Usability of a Cryptocurrency Wallet. - Noam Elron, Alex Itskovich, Shahar S. Yuval, Noam Levy:
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation. - Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. - Karl Schmeckpeper, Georgios Georgakis, Kostas Daniilidis:
Object-centric Video Prediction without Annotation. - Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad:
Multi-Perspective LSTM for Joint Visual Representation Learning. - Ruoxi Qin, Linyuan Wang, Xingyuan Chen, Xuehui Du, Bin Yan:
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model. - Yuzhou Gu, Adam Polak, Virginia Vassilevska Williams, Yinzhan Xu:
Faster Monotone Min-Plus Product, Range Mode, and Single Source Replacement Paths. - Yun-Jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti, S. J. Ben Yoo:
Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks. - Bryar Ahmad Hassan, Tarik A. Rashid, Seyedali Mirjalili:
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets. - Max Cohen, Sylvain Le Corff, Maurice Charbit, Marius Preda, Gilles Nozière:
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort. - Ziyu Wang, Jie Yang, Mohamad Sawan:
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction. - Martin Schuessler, Philipp Weiß, Leon Sixt:
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments. - Arindam Khan, Eklavya Sharma:
Tight Approximation Algorithms for Geometric Bin Packing with Skewed Items. - Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Nestor D. Chatzidiamantis:
Pathloss modeling for in-body optical wireless communications. - Kevin Buchin, Mart Hagedoorn, Irina Kostitsyna, Max van Mulken:
Dots & Boxes is PSPACE-complete. - Nicolas Behr, Russ Harmer, Jean Krivine:
Concurrency Theorems for Non-linear Rewriting Theories. - Dominique Labbé, Jacques Savoy:
Stylistic Analysis of the French Presidential Speeches: Is Macron really different? - Alessio Ferrari, Manlio Bacco, Kirsten Moore, Andreas Jedlitschka, Steffen Hess, Jouni Kaipainen, Panagiota Koltsida, Eleni Toli, Gianluca Brunori:
Rethinking Sustainability Requirements: Drivers, Barriers and Impacts of Digitalisation from the Viewpoint of Experts. - Colin Shea-Blymyer, Houssam Abbas:
Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations. - Noama Fatima Samreen, Manar H. Alalfi:
SmartScan: An approach to detect Denial of Service Vulnerability in Ethereum Smart Contracts. - Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. - Krzysztof Maziarz, Tom Ellis, Alan Lawrence, Andrew W. Fitzgibbon, Simon Peyton Jones:
Hashing Modulo Alpha-Equivalence. - Baichuan Huang, Shuai D. Han, Jingjin Yu, Abdeslam Boularias:
Visual Foresight Tree for Object Retrieval from Clutter with Nonprehensile Rearrangement. - Alexander E. Siemenn, Matthew Beveridge, Tonio Buonassisi, Iddo Drori:
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop. - Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus:
Age of Gossip in Networks with Community Structure. - Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Hujun Bao, Xiaowei Zhou:
Animatable Neural Radiance Fields for Human Body Modeling. - Björn H. Eriksson:
Contextual Bandits with Sparse Data in Web setting. - Shiyu Wang, Nicha C. Dvornek:
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. - Valentin Deschaintre, Yiming Lin, Abhijeet Ghosh:
Deep Polarization Imaging for 3D shape and SVBRDF Acquisition. - Hannah Bull, Triantafyllos Afouras, Gül Varol, Samuel Albanie, Liliane Momeni, Andrew Zisserman:
Aligning Subtitles in Sign Language Videos. - Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Möller:
Q-Match: Iterative Shape Matching via Quantum Annealing. - Noama Fatima Samreen, Manar H. Alalfi:
Reentrancy Vulnerability Identification in Ethereum Smart Contracts. - Bin Han, Chirag Shah, Daniel Saelid:
Users' Perception of Search Engine Biases and Satisfaction. - Roberto Metere, Myriam Neaimeh, Charles Morisset, Carsten Maple, Xavier J. A. Bellekens, Ricardo M. Czekster:
Securing the Electric Vehicle Charging Infrastructure. - Zeyu Guo:
Variety Evasive Subspace Families. - Loukas Georgiadis, Giuseppe F. Italiano, Evangelos Kosinas:
Computing the 4-Edge-Connected Components of a Graph in Linear Time. - Andrew Alseth, Daniel Hader, Matthew J. Patitz:
Self-Replication via Tile Self-Assembly (extended abstract). - Tapojyoti Mandal, Gino Chacon, Johann Knechtel, Ozgur Sinanoglu, Paul Gratz, Vassos Soteriou:
Interposer-Based Root of Trust. - Birenjith Sasidharan, Anoop Thomas:
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes. - Evangelos Ntavelis, Jan Remund, Philipp Schmid:
SkyCam: A Dataset of Sky Images and their Irradiance values. - Tanner A. Bohn, Charles X. Ling:
Hone as You Read: A Practical Type of Interactive Summarization. - Tim Hellemans, Arti D. Yardi, Tejas Bodas:
Download time analysis for distributed storage systems with node failures. - Xuechao Wang, Viswa Virinchi Muppirala, Lei Yang, Sreeram Kannan, Pramod Viswanath:
Securing Parallel-chain Protocols under Variable Mining Power. - Maria Bada, Jason R. C. Nurse:
Profiling the Cybercriminal: A Systematic Review of Research. - Maria Bada, Basie von Solms:
A Cybersecurity Guide for Using Fitness Devices. - Vedant Bahel, Achamma Thomas:
Text similarity analysis for evaluation of descriptive answers. - Edward Raff:
Exact Acceleration of K-Means++ and K-Means∥. - Jan Kalbantner, Konstantinos Markantonakis, Darren Hurley-Smith, Carlton Shepherd, Benjamin Semal:
A DLT-based Smart Contract Architecture for Atomic and Scalable Trading. - Björn Lütjens, Catherine H. Crawford, Mark Veillette, Dava Newman:
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling. - Peilin Kang, Seyed-Mohsen Moosavi-Dezfooli:
Understanding Catastrophic Overfitting in Adversarial Training. - Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Semantics in Multi-objective Genetic Programming. - Jiahui Cheng, Sui Tang:
Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data. - Marvin M. Agüero-Torales, David Vilares, Antonio Gabriel López-Herrera:
On the logistical difficulties and findings of Jopara Sentiment Analysis. - Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. - Yuriy Izotov, A. A. Velichko, A. A. Ivshin, R. E. Novitskiy:
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network. - Mohammed F. Tolba, Huruy Tekle Tesfai, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri:
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification. - Rakhmatulin Ildar:
Detect caterpillar, grasshopper, aphid and simulation program for neutralizing them by laser. - Markus Friedrich, Pierre-Alain Fayolle:
Reconstruction of Convex Polytope Compositions from 3D Point-clouds. - Piyush Yadav, Dhaval Salwala, Edward Curry:
VID-WIN: Fast Video Event Matching with Query-Aware Windowing at the Edge for the Internet of Multimedia Things. - Andrey Soroka, Alexander Meshcheryakov, Sergey Gerasimov:
Morphological classification of astronomical images with limited labelling. - Ekanki Sharma, Wilfried Elmenreich:
A review on physical and data-driven based nowcasting methods using sky images. - Abu Sufian, Changsheng You, Mianxiong Dong:
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring. - Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. - Vlad Velici, Adam Prügel-Bennett:
Object detection for crabs in top-view seabed imagery. - Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. - Edoardo Giacomello, Pier Luca Lanzi, Daniele Loiacono, Luca Nassano:
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. - Adrian Hoffmann, Claudio Fanconi, Rahul Rade, Jonas Kohler:
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks. - Yuanyuan Zheng, Rongyang Li, Sha Li, Yudong Zhang, Shunkun Yang, Huansheng Ning:
A Review on Serious Games for ADHD. - Carlos López, Sergio Rajsbaum, Michel Raynal, Karla Vargas:
Leader Election in Arbitrarily Connected Networks with Process Crashes and Weak Channel Reliability. - Mingchang Ding, Jing-Mei Qiu, Ruiwen Shu:
Accuracy and stability analysis of the Semi-Lagrangian method for stiff hyperbolic relaxation systems and kinetic BGK model. - Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. - Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin:
Graph-based Multilingual Product Retrieval in E-commerce Search. - Hong Shen, Alicia DeVos, Motahhare Eslami, Kenneth Holstein:
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. - Bayan Al-Nahhas, Mohanad Obeed, Anas Chaaban, Md. Jahangir Hossain:
RIS-Aided Cell-Free Massive MIMO: Performance Analysis and Competitiveness. - Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Do language models learn typicality judgments from text? - Sam Earle, Maria Edwards, Ahmed Khalifa, Philip Bontrager, Julian Togelius:
Learning Controllable Content Generators. - Jordi Feliu-Fabà, Lexing Ying:
Approximate inversion of discrete Fourier integral operators. - Haizhou Wang, Peng Liu:
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection. - Felipe Cruz:
Comparing Lagrange and Mixed finite element methods using MFEM library. - Maximiliano Cristiá, Gianfranco Rossi:
A Decision Procedure for a Theory of Finite Sets with Finite Integer Intervals. - Hugo Vaz Sampaio, Fernando Koch, Carlos Becker Westphall, Ricardo do Nascimento Boing, Rene Nolio Santa Cruz:
Autonomic Management of Power Consumption with IoT and Fog Computing. - Ngoc-Quan Pham, Tuan-Nam Nguyen, Sebastian Stüker, Alexander Waibel:
Efficient Weight factorization for Multilingual Speech Recognition. - Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner:
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. - Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-stage Model Synthesis for Efficient Inference. - Min-Oh Jeong, Alex Dytso, Martina Cardone:
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics. - Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan D. Ratliff:
CoDE: Collocation for Demonstration Encoding. - Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. - Walid Hariri:
Efficient Masked Face Recognition Method during the COVID-19 Pandemic. - Abdullah Alsuhaibani, Abdulrahman Alhaidari:
Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning. - Shyan Akmal, Virginia Vassilevska Williams:
Improved Approximation for Longest Common Subsequence over Small Alphabets. - Wei Fang, Zhiyong Chen:
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs. - Yilin Kang, Yong Liu, Jian Li, Weiping Wang:
Differential Privacy for Pairwise Learning: Non-convex Analysis. - Zhao You, Shulin Feng, Dan Su, Dong Yu:
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts. - Guanjie Huang, Fenglong Ma:
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection. - Taisei Hashimoto, Yoshimasa Tsuruoka:
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions. - (Withdrawn) Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification.
- MohammadMahdi Behzadi, Horea T. Ilies:
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning. - Qingping Ma, Lei Zhang, Junhao Ding, Shuo Qu, Jin Fu, Mingdong Zhou, Ming Wang Fu, Xu Song, Michael Yu Wang:
Elastically-isotropic open-cell minimal surface shell-lattices with superior stiffness via variable thickness design. - Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun, Wenqi Huang:
A Multivariate Density Forecast Approach for Online Power System Security Assessment. - Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. - Shaokui Jiang, Baile Xu, Jian Zhao, Furao Shen:
Faster and Simpler Siamese Network for Single Object Tracking. - Xingxing Zou, Waikeung Wong:
fAshIon after fashion: A Report of AI in Fashion. - Tao Zhang, Quanyan Zhu:
Informational Design of Dynamic Multi-Agent System. - Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. - Joshua Ball:
Few-Shot Learning for Image Classification of Common Flora. - Luis A. Briceno-Mena, Christopher G. Arges, José A. Romagnoli:
PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems. - Mehrnaz Najafi, Lifang He, Philip S. Yu:
Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities. - Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu:
Self-paced Resistance Learning against Overfitting on Noisy Labels. - Sarthak Jain, Martina Cardone, Soheil Mohajer:
When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks? - Jie Yang, Xi Yang, Chao-Kai Wen, Shi Jin:
Integrated Sensing and Communication with Multi-Domain Cooperation. - Yi-Chen Chen, Po-Han Chi, Shu-Wen Yang, Kai-Wei Chang, Jheng-Hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee:
SpeechNet: A Universal Modularized Model for Speech Processing Tasks. - Ivan Tjuawinata, Chaoping Xing:
Leakage-Resilient Secret Sharing with Constant Share Size. - Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
A Survey of Data Augmentation Approaches for NLP. - Ryohei Oura, Toshimitsu Ushio, Ami Sakakibara:
Bounded Synthesis and Reinforcement Learning of Supervisors for Stochastic Discrete Event Systems with LTL Specifications. - Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. - Lu Liu, Robby T. Tan:
Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior. - Henry Bambury, Antoine Bultel, Benjamin Doerr:
An Extended Jump Function Benchmark for the Analysis of Randomized Search Heuristics. - Ming Xu, Niko Sünderhauf, Michael Milford:
Probabilistic Visual Place Recognition for Hierarchical Localization. - Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye:
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. - Hiromichi Goko, Kazuhisa Makino, Shuichi Miyazaki, Yu Yokoi:
Maximally Satisfying Lower Quotas in the Hospitals/Residents Problem with Ties. - Chi Han, Mingxuan Wang, Heng Ji, Lei Li:
Learning Shared Semantic Space for Speech-to-Text Translation. - Peter Chini, Florian Furbach:
Petri Net Invariant Synthesis. - Aharon Abadi, Bar Makovitzki, Ron Shemer, Shmuel S. Tyszberowicz:
NoCFG: A Lightweight Approach for Sound Call Graph Approximation. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski:
Faster Algorithms for Longest Common Substring. - Marius Hobbhahn, Philipp Hennig:
Laplace Matching for fast Approximate Inference in Generalized Linear Models. - Gabriel de Albuquerque Gleizer, Khushraj Madnani, Manuel Mazo Jr.:
Self-Triggered Control for Near-Maximal Average Inter-Sample Time. - Wrya K. Kadir, Chunlei Li, Ferdinando Zullo:
On interpolation-based decoding of a class of maximum rank distance codes. - Hanbit Lee, Jinseok Seol, Sang-goo Lee:
Contrastive Learning for Unsupervised Image-to-Image Translation. - Andrey Sadovykh, Dragos Truscan, Hugo Bruneliere:
Applying Model-based Requirements Engineering in Three Large European Collaborative Projects: An Experience Report. - Berivan Isik:
Neural 3D Scene Compression via Model Compression. - Kostas Karpouzis, George Tsatiris:
AI in (and for) Games. - Zeki Bilgin:
Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction. - Pallavi Sivakumaran, Jorge Blasco:
argXtract: Deriving IoT Security Configurations via Automated Static Analysis of Stripped ARM Binaries. - Parth Kothari, Brian Sifringer, Alexandre Alahi:
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds. - Eduard A. Jorswieck, Andrew Lonnstrom, Karl-Ludwig Besser, Stefan Rothe, Jürgen W. Czarske:
Achievable Physical-Layer Secrecy in Multi-Mode Fiber Channels using Artificial Noise. - Mingyuan Mao, Baochang Zhang, David S. Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding:
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections. - Frank Po Wen Lo, Modou L. Jobarteh, Yingnan Sun, Jianing Qiu, Shuo Jiang, Gary S. Frost, Benny Lo:
An Intelligent Passive Food Intake Assessment System with Egocentric Cameras. - Mohamed Seghir Hadj Ameur, Hassina Aliane:
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset. - Konstantin Kuznetsov, Chen Fu, Song Gao, David N. Jansen, Lijun Zhang, Andreas Zeller:
What do all these Buttons do? Statically Mining Android User Interfaces at Scale. - Tomasz Was, Oskar Skibski:
An Axiom System for Feedback Centralities. - Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek:
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers. - Shuang Wang, Dong Zhao, Yi Li, Chi Zhang, Yuwei Guo, Qi Zang, Biao Hou, Licheng Jiao:
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation. - Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diff-ResNets for Few-shot Learning - an ODE Perspective. - Maria Becker, Katharina Korfhage, Debjit Paul, Anette Frank:
CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts. - Alexander Robertson, Walid Magdy, Sharon Goldwater:
Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter. - Adrian Wilke, Axel-Cyrille Ngonga Ngomo:
Open Data Portal Germany (OPAL) Projektergebnisse. - Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu:
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. - Steve Dias Da Cruz, Bertram Taetz, Oliver Wasenmüller, Thomas Stifter, Didier Stricker:
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification. - Sriashalya Srivathsan, Stephen Cranefield, Jeremy Pitt:
A Bayesian model of information cascades. - Fangqi Li, Shi-Lin Wang:
Towards Practical Watermark for Deep Neural Networks in Federated Learning. - Keenan Jones, Jason R. C. Nurse, Shujun Li:
The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter. - Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder:
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access. - Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng:
FedGL: Federated Graph Learning Framework with Global Self-Supervision. - Hlynur Davíð Hlynsson, Laurenz Wiskott:
Reward prediction for representation learning and reward shaping. - Matthias Wess, Matvey Ivanov, Anvesh Nookala, Christoph Unger, Alexander Wendt, Axel Jantsch:
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models. - Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. - Ilyena Hirskyj-Douglas, Andrés Lucero:
On the Internet, Nobody Knows You're a Dog... Unless You're Another Dog. - Ilyena Hirskyj-Douglas, Mikko Kytö, David K. McGookin:
Head-mounted Displays, Smartphones, or Smartwatches? - Augmenting Conversations with Digital Representation of Self. - Miao Hu, Yali Li, Lu Fang, Shengjin Wang:
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation. - Majid Mobini, Mohammad Reza Zahabi:
Joint Subcarrier and Power Allocation in MU OFDM DCSK Systems with Noise Reduction. - Gauthier Chassang, Mogens Thomsen, Pierre Rumeau, Florence Sèdes, Alejandra Delfin:
An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020). - Duong H. Le, Binh-Son Hua:
Network Pruning That Matters: A Case Study on Retraining Variants. - Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz:
Simulation and evaluation of cloud storage caching for data intensive science. - Abhishek Gupta, Om Jee Pandey, Mahendra Kumar Shukla, Anjali Dadhich, Samar Mathur, Anup Ingle:
Computational Intelligence based Intrusion Detection Systems for Wireless Communication. - Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob A. Lichtefeld, Mitch Marcus, Sarah R. B. Payne, Charles Yang:
A Grounded Approach to Modeling Generic Knowledge Acquisition. - Yichao Zhou, Shichen Liu, Yi Ma:
NeRD: Neural 3D Reflection Symmetry Detector. - Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang:
Bring Your Own Codegen to Deep Learning Compiler. - Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Data-driven scheduling in serverless computing to reduce response time. - Christian Porter, Andrew Mendelsohn, Cong Ling:
Subfield Algorithms for Ideal- and Module-SVP Based on the Decomposition Group. - Abdollah Ghaffari Sheshjavani, Ahmad Khonsari, Seyed Pooya Shariatpanahi, Masoumeh Moradian:
Content Caching for Shared Medium Networks Under Heterogeneous Users' Behaviours. - Barzan A. Yosuf, Sanaa H. Mohamed, Mohammed Moawad Alenazi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy-Efficient AI over a Virtualized Cloud Fog Network. - Haifeng Ji:
An immersed Raviart-Thomas mixed finite element method for elliptic interface problems on unfitted meshes. - Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian, Avirup Sil:
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension. - Umair Iqbal, Johan Barthélemy, Wanqing Li, Pascal Perez:
Automating Visual Blockage Classification of Culverts with Deep Learning. - Umair Iqbal, Johan Barthélemy, Wanqing Li, Pascal Perez:
Regression on Deep Visual Features using Artificial Neural Networks (ANNs) to Predict Hydraulic Blockage at Culverts. - Arianna Salazar Miranda, Guangyu Du, Claire Gorman, Fabio Duarte, Washington Fajardo, Carlo Ratti:
Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data. - Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-based Image Captioning with Content Diversity Exploration. - Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi:
Mini-batch graphs for robust image classification. - Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra:
Semantic data discovery from Social Big Data. - Marvin Stuede, Konrad Westermann, Moritz Schappler, Svenja Spindeldreier:
Sobi: An Interactive Social Service Robot for Long-Term Autonomy in Open Environments. - Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. - Fangao Zeng, Bin Dong, Tiancai Wang, Cheng Chen, Xiangyu Zhang, Yichen Wei:
MOTR: End-to-End Multiple-Object Tracking with TRansformer. - Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. - Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
Towards Real-World Category-level Articulation Pose Estimation. - Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel:
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. - Samyak Prajapati, Aman Swaraj, Ronak Lalwani, Akhil Narwal, Karan Verma, Ghanshyam Singh, Ashok Kumar:
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases. - Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo:
Energy-Based Anomaly Detection and Localization. - Daniel Karapetyan, Gregory Z. Gutin:
Solving the Workflow Satisfiability Problem using General Purpose Solvers. - Anuj Dawar, Tomas Jakl, Luca Reggio:
Lovász-Type Theorems and Game Comonads. - Jie Huang:
A Multi-Size Neural Network with Attention Mechanism for Answer Selection. - Lukas Stankevicius, Mantas Lukosevicius:
Generating abstractive summaries of Lithuanian news articles using a transformer model. - Tosin P. Adewumi, Saleha Javed, Roshanak Vadoodi, Aparajita Tripathy, Konstantina Nikolaidou, Foteini Liwicki, Marcus Liwicki:
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms. - Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker, Ana Lucic:
Order in the Court: Explainable AI Methods Prone to Disagreement. - Ahmet M. Elbir, Sinem Coleri:
A Family of Hybrid Federated and Centralized Learning Architectures in Machine Learning. - Hichem Mrabet, Elias Giaccoumidis, Iyad Dayoub:
A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks. - Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Thien Hoang Nguyen, Lihua Xie:
VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM. - Richard J. Leute, Martin Ladecký, Ali Falsafi, Indre Jödicke, Ivana Pultarová, Jan Zeman, Till Junge, Lars Pastewka:
Elimination of ringing artifacts by finite-element projection in FFT-based homogenization. - Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. - Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. - Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau:
Online Multi-Cell Coordinated MIMO Wireless Network Virtualization with Imperfect CSI. - Yuan Pu, Shaochen Wang, Xin Yao, Bin Li:
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics. - Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods. - Maria Teresa Baldassarre, Danilo Caivano, Davide Fucci, Natalia Juristo, Simone Romano, Giuseppe Scanniello, Burak Turhan:
Studying Test-Driven Development and its Retainment Over a Six-month Time Span. - Raj Ratn Pranesh, Mehrdad Farokhnejad, Ambesh Shekhar, Genoveva Vargas-Solar:
Looking for COVID-19 misinformation in multilingual social media texts. - YiPeng Deng, YinHui Luo:
Recognition and Processing of NATOM. - Ning Wang, Fan Luo, Yuvraj Shivtare, Varsha D. Badal, K. P. Subbalakshmi, Rajarathnam Chandramouli, Ellen Lee:
Learning Models for Suicide Prediction from Social Media Posts. - Shalin Shah, Ryan Siskind:
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning. - Celine Lee, Justin Gottschlich, Dan Roth:
Toward Code Generation: A Survey and Lessons from Semantic Parsing. - Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler:
Are Pre-trained Convolutions Better than Pre-trained Transformers? - D. Shivakrishna, Aaditya M. Nair, V. Lalitha:
Maximally Recoverable Codes with Hierarchical Locality: Constructions and Field-Size Bounds. - Joongoo Jeon, Sung Joong Kim:
FVM Network to Reduce Computational Cost of CFD Simulation. - Yifei Zhang, Yu Zhou, Weiping Wang:
Exploring Instance Relations for Unsupervised Feature Embedding. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
Foreground-guided Facial Inpainting with Fidelity Preservation. - Yang Gao, Nicolò Colombo, Wei Wang:
Adapting by Pruning: A Case Study on BERT. - Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri:
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. - Dominik Dellermann, Adrian Calma, Nikolaus Lipusch, Thorsten Weber, Sascha Weigel, Philipp Ebel:
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems. - Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Jan Marco Leimeister:
Design principles for a hybrid intelligence decision support system for business model validation. - Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Karl Michael Popp, Jan Marco Leimeister:
Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method. - Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. - Dominik Dellermann:
Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence. - Haoyu Ren, Darko Anicic, Thomas A. Runkler:
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT. - Jan Ruh, Wilfried Steiner, Gerhard Fohler:
Clock Synchronization in Virtualized Distributed Real-Time Systems using IEEE 802.1AS and ACRN. - Antonio Cau, Stefan Kuhn, James Hoey:
Executable Interval Temporal Logic Specifications. - Lukas Markolf, Olaf Stursberg:
Polytopic Input Constraints in Learning-Based Optimal Control Using Neural Networks. - Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran:
Communication With Adversary Identification in Byzantine Multiple Access Channels. - Bin Fan, Chuanju Xu:
Identifying source term in the subdiffusion equation with L^2-TV regularization. - Rak-Kyeong Seong, Chanho Min, Sang-Hoon Han, Jaeho Yang, Seungwoo Nam, Kyusam Oh:
Topology and Routing Problems: The Circular Frame. - Stanislav Sobolevsky:
Hierarchical Graph Neural Networks. - Patricia Johann, Enrico Ghiorzi, Daniel Jeffries:
GADTs, Functoriality, Parametricity: Pick Two. 77-92 - Francesco Sanfedino, Daniel Alazard, Valentin Preda, Davide Oddenino:
Integrated modelling of microvibrations induced by Solar Array Drive Mechanism for worst-case end-to-end analysis and robust disturbance estimation. - Théophile Chaumont-Frelet, Padtrick Vega:
Frequency-explicit approximability estimates for time-harmonic Maxwell's equations. - Stefan Steinegger, David Schrammel, Samuel Weiser, Pascal Nasahl, Stefan Mangard:
SERVAS! Secure Enclaves via RISC-V Authenticryption Shield. - Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. - Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward networks for image classification with data-efficient training. - Binbin Xu, Chongyang Tao, Zidu Feng, Youssef Raqui, Sylvie Ranwez:
A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect. - Ajay Krishnan, Niranj Jyothish, Xun Jia:
Using reinforcement learning to design an AI assistantfor a satisfying co-op experience. - Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. - Syomantak Chaudhuri, Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey, Vinod M. Prabhakaran:
Compound Arbitrarily Varying Channels. - Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Robust output feedback model predictive control using online estimation bounds. - Giulio Zhou, Gerasimos Lampouras:
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation. - Pablo Montes, Oscar Reula:
New Numerical Interface Scheme for the Kurganov-Tadmor second-order Method. - Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera:
CASTing a Net: Supporting Teachers with Search Technology. - Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li:
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. - Wenbo Wang, Xin Fang, Anthony Florita:
Impact of DER Communication Delay in AGC: Cyber-Physical Dynamic Simulation. - Roxana Smarandache, David G. M. Mitchell:
Necessary and Sufficient Girth Conditions for Tanner Graphs of Quasi-Cyclic LDPC Codes. - Stephen Metcalfe, Thomas P. Wihler:
Conditional a posteriori error bounds for high order DG time stepping approximations of semilinear heat models with blow-up. - Andrea Sabo, Sina Mehdizadeh, Andrea Iaboni, Babak Taati:
Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia. - Haoya Li, Lexing Ying:
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks. - Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. - Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz:
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. - Shuzhen Luo, Ghaith J. Androwis, Sergei V. Adamovich, Hao Su, Xianlian Zhou:
Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance. - Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann:
Uniform Convergence, Adversarial Spheres and a Simple Remedy. - Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Human-Aided Saliency Maps Improve Generalization of Deep Learning. - Sara Beery, Arushi Agarwal, Elijah Cole, Vighnesh Birodkar:
The iWildCam 2021 Competition Dataset. - Anne Beyer, Sharid Loáiciga, David Schlangen:
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models. - Brittany Froese Hamfeldt, Axel G. R. Turnquist:
A Convergent Finite Difference Method for Optimal Transport on the Sphere. - Fitzroy D. Nembhard, Marco M. Carvalho:
Conversational Code Analysis: The Future of Secure Coding. - Dao Thanh Hai:
The Consolation of Network Coding and Partial Protection Techniques to Optical Transport Networks in Data, Data, Data Era. - Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir R. Radev:
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders. - Walter Lucia, Amr M. Youssef:
Wyner wiretap-like encoding scheme for cyber-physical systems. - Mahmoud Ali Al-shugran:
Applicability of overlay non-delay tolerant position-based protocols in highways and urban environments for vanet. - Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. - Ian C. Moore, Jagdeep Sidhu:
Stochastic Properties of EIP-1559 Basefees. - Andrea Colledan:
On Abstract Machine Semantics for Proto-Quipper-M. - Lori Flynn, William Snavely, Zachary Kurtz:
Test Suites as a Source of Training Data for Static Analysis Alert Classifiers. - Max I. Kanovich, Tajana Ban Kirigin, Vivek Nigam, Andre Scedrov, Carolyn L. Talcott:
On the Complexity of Verification of Time-Sensitive Distributed Systems: Technical Report. - Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving. - Eamon Whalen, Azariah Beyene, Caitlin Mueller:
SimJEB: Simulated Jet Engine Bracket Dataset. - AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew:
Pareto-Optimal Quantized ResNet Is Mostly 4-bit. - Lingyu Zhang, Tianyu Liu, Yunhai Wang:
An Intelligent Model for Solving Manpower Scheduling Problems. - Tianyu Liu, Lingyu Zhang:
Apply Artificial Neural Network to Solving Manpower Scheduling Problem. - Jared Ray Coleman, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce:
The Pony Express Communication Problem. - Austin Anhkhoi Nguyen:
Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies. - Abira Sengupta, Stephen Cranefield, Jeremy Pitt:
Solving social dilemmas by reasoning about expectations. - Houming Qiu, Kun Zhu, Nguyen Cong Luong, Changyan Yi, Dusit Niyato, Dong In Kim:
Applications of Auction and Mechanism Design in Edge Computing: A Survey. - Nestor Sánchez, Tonatiuh Sánchez-Vizuet, Manuel E. Solano:
Error analysis of an unfitted HDG method for a class of non-linear elliptic problems. - Shuangyao Huang, Haibo Zhang, Zhiyi Huang:
E2Coop: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms. - Weibin Li, Qiwei Zhong, Qingyang Zhao, Hongchun Zhang, Xiaonan Meng:
Multimodal and Contrastive Learning for Click Fraud Detection. - Yumeng Zhang, Li Chen, Yufeng Liu, Xiaoyan Guo, Wen Zheng, Junhai Yong:
Improving Robustness for Pose Estimation via Stable Heatmap Regression. - Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu:
Domain-Specific Suppression for Adaptive Object Detection. - Puhai Yang, Heyan Huang, Xian-Ling Mao:
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? - Bin Cao, Zixin Wang, Long Zhang, Daquan Feng, Mugen Peng, Lei Zhang:
Blockchain Systems, Technologies and Applications: A Methodology Perspective. - Brett Fazio, Ellie Kozlowski, Dylan Ochoa, Blake Robertson, Idel Martinez:
Survey of Parallel A* in Rust. - Jun Wang, Ying-Chang Liang, Jingon Joung, Xiaojun Yuan, Xinguo Wang:
Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks. - Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae:
Learning to Predict Repeatability of Interest Points. - Jiaming Wang, Zhenfeng Shao, Tao Lu, Xiao Huang, Ruiqian Zhang, Yu Wang:
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior. - Alireza Vahid:
Distortion-Based Outer-Bounds for Channels with Rate-Limited Feedback. - Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang:
Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy Networks. - Yousif Khaireddin, Zhuofa Chen:
Facial Emotion Recognition: State of the Art Performance on FER2013. - Lanwei Zhang, Rajitha Senanayake, Saman Atapattu, Jamie S. Evans:
Relay Assisted Underlay Cognitive Radio Networks with Multiple Users. - Pengyuan Zhou, Pei Fang, Pan Hui:
Loss Tolerant Federated Learning. - Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu:
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. - Guy Blanc, Jane Lange, Li-Yang Tan:
Learning stochastic decision trees. - Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. - Wei Lou, Lei Xun, Amin Sabet, Jia Bi, Jonathon S. Hare, Geoff V. Merrett:
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms. - Siwei Wang, Wei Chen:
Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions. - Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. - Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. - P. N. Karthik, Rajesh Sundaresan:
Learning to Detect an Odd Restless Markov Arm with a Trembling Hand. - Hoover H. F. Yin, Xishi Wang, Ka Hei Ng, Russell W. F. Lai, Lucien K. L. Ng, Jack P. K. Ma:
On Multi-Channel Huffman Codes for Asymmetric-Alphabet Channels. - Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Optimising Resource Management for Embedded Machine Learning. - Chamara Kattadige, Aravindh Raman, Kanchana Thilakarathna, Andra Lutu, Diego Perino:
360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic. - Ryuichi Kanoh, Tomu Yanabe:
Interpretable Mixture Density Estimation by use of Differentiable Tree-module. - Tao Wang, Tongjiang Yan, Xueting Wang:
Quantum Synchronizable Codes on Sextic Cyclotomy. - Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen:
ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting. - Morena Barboni, Andrea Morichetta, Andrea Polini:
SuMo: A Mutation Testing Strategy for Solidity Smart Contracts. - Wei-Cheng Huang, Chien-yu Huang, Hung-yi Lee:
Improving Cross-Lingual Reading Comprehension with Self-Training. - Wei Chen, Dan Wang, Sei Zhen Khong, Li Qiu:
A Phase Theory of MIMO LTI Systems. - Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song:
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations. - Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun:
CASIA-Face-Africa: A Large-scale African Face Image Database. - Placido Mursia, Francesco Devoti, Vincenzo Sciancalepore, Xavier Costa-Pérez:
RISe of Flight: RIS-Empowered UAV Communications for Robust and Reliable Air-to-Ground Networks. - Ryota Eguchi, Naoki Kitamura, Taisuke Izumi:
Fast Neighborhood Rendezvous. - Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore, Nicola Paoletti, Marta Kwiatkowska:
On Guaranteed Optimal Robust Explanations for NLP Models. - Zhixian Yang, Xiaojun Wan:
Neural Text Generation with Part-of-Speech Guided Softmax. - Neel Kanth Kundu, Soumya P. Dash, Matthew R. McKay, Ranjan K. Mallik:
MIMO Terahertz Quantum Key Distribution. - Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir:
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. - Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. - David Tolpin:
How To Train Your Program. - Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. - Huy Ha, Shuran Song:
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding. - Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. - Mike Yan Michelis, Quentin Becker:
On Linear Interpolation in the Latent Space of Deep Generative Models. - Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy Xin Ru Wang:
D2S: Document-to-Slide Generation Via Query-Based Text Summarization. - Johannes S. Otterbach, Thomas Wollmann:
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs. - Mauro Piva, Gaia Maselli, Francesco Restuccia:
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting. - Dong Liang, Fei Xue, Ling Li:
Active Terahertz Imaging Dataset for Concealed Object Detection. - Maciej Swiechowski:
A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms. - Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang:
A Simple yet Universal Strategy for Online Convex Optimization. - Andrea Marinoni, Saloua Chlaily, Eduard Khachatrian, Torbjørn Eltoft, Sivasakthy Selvakumaran, Mark Girolami, Christian Jutten:
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction. - Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. - Yangjie Mei, Hao Wang:
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis. - Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai:
HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks. - Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou:
Self-Supervised Adversarial Example Detection by Disentangled Representation. - Charles Jin, Melinda Sun, Martin C. Rinard:
Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility. - Mario Grobler, Patrice Ossona de Mendez, Sebastian Siebertz, Alexandre Vigny:
On the discrepancy of set systems definable in sparse graph classes. - Pascal den Boef, Pepijn B. Cox, Roland Tóth:
LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control. - Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. - Daniele Bartoli, Marco Timpanella:
On a conjecture on APN permutations. - Greg Yang, Etai Littwin:
Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics. - Zhanghao Zhouyin, Ding Liu:
Understanding Neural Networks with Logarithm Determinant Entropy Estimator. - Emiliana Murgia, Monica Landoni, Theo Huibers, Maria Soledad Pera:
All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroom. - Deniz Beser:
Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning. - Shubham Gupta, Ambedkar Dukkipati:
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees. - Sindre André Jacobsen, Anton Ragni:
Continuous representations of intents for dialogue systems. - Bo Liu, Xuesu Xiao, Peter Stone:
Team Orienteering Coverage Planning with Uncertain Reward. - Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu:
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks. - Lukas Bieringer, Kathrin Grosse, Michael Backes, Katharina Krombholz:
Mental Models of Adversarial Machine Learning. - María Cabrera Calvo, Frédéric Rousset, Katharina Schratz:
Time integrators for dispersive equations in the long wave regime. - María Cabrera Calvo, Katharina Schratz:
Uniformly accurate splitting schemes for the Benjamin-Bona-Mahony equation with dispersive parameter. - (Withdrawn) Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model.
- Sourjya Roy, Mustafa Fayez Ali, Anand Raghunathan:
PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM. - Jiehang Zeng, Xiaoqing Zheng, Jianhan Xu, Linyang Li, Liping Yuan, Xuanjing Huang:
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. - Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. - Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, Kirill Simonov:
Parameterized Complexity of Feature Selection for Categorical Data Clustering. - Eddy Hudson, Garrett Warnell, Peter Stone:
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning. - Arye Deutsch, Ohad Noy Feldheim, Rani Hod:
Multi-layered planar firefighting. - Mahmoud Z. Khairallah, Fabien Bonardi, David Roussel, Samia Bouchafa:
PCA Event-Based Optical Flow for Visual Odometry. - Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. - Sai Susheel Praneeth Kode, Yuri B. Shtessel, Arie Levant, J. Rakoczy, M. Hannan, J. Orr:
Aerospace Sliding Mode Control Toolbox: Relative Degree Approach with Resource Prospector Lander and Launch Vehicle Case Studies. - David P. Woodruff, Samson Zhou:
Separations for Estimating Large Frequency Moments on Data Streams. - Hossein Basafa, Sajad Movahedi, Ali Ebrahimi, Azadeh Shakery, Heshaam Faili:
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer. - Mohammed Gharib, Shashidhar Nandadapu, Fatemeh Afghah:
An Exhaustive Study of Using Commercial LTE Network for UAV Communication in Rural Areas. - Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. - Dmitry Kosolobov, Nikita Sivukhin:
Construction of Sparse Suffix Trees and LCE Indexes in Optimal Time and Space. - Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Dynamic Game Theoretic Neural Optimizer. - Jingji Chen, Xuehai Qian:
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine. - Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou:
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study. - Benjamin Minixhofer, Milan Gritta, Ignacio Iacobacci:
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning. - Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying:
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. - Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C.-C. Jay Kuo:
AnomalyHop: An SSL-based Image Anomaly Localization Method. - Vijay Bhaskar Semwal, Neha Gaud, Gora Chand Nandi:
Human Gait State Prediction Using Cellular Automata and Classification Using ELM. - Rafael Lima:
Fine-Grained ε-Margin Closed-Form Stabilization of Parametric Hawkes Processes. - Potsawee Manakul, Mark J. F. Gales:
Long-Span Dependencies in Transformer-based Summarization Systems. - Austin Park, Farzaneh Rajabi, Ross Weber:
Slash or burn: Power line and vegetation classification for wildfire prevention. - Shu Chen, Lei Zhang, Beiji Zou:
Estimation of 3D Human Pose Using Prior Knowledge. - Farzaneh Rajabi, Jack Siyuan He:
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning. - Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg:
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors. - Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme, Vijay Kumar:
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams. - Juan Gómez-Luna, Izzat El Hajj, Ivan Fernandez, Christina Giannoula, Geraldo F. Oliveira, Onur Mutlu:
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture. - Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. - Moju Zhao, Kei Okada, Masayuki Inaba:
TrTr: Visual Tracking with Transformer. - Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen:
Heterogeneous Risk Minimization. - Anmol Jain, Aishwary Kumar, Seba Susan:
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme. - Yuheng Lu, Chuxiong Sun, Jie Hu:
Exploiting Path Information for Anchor Based Graph Neural Network. - Huming Qiu, Hua Ma, Zhi Zhang, Yifeng Zheng, Anmin Fu, Pan Zhou, Yansong Gao, Derek Abbott, Said F. Al-Sarawi:
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things. - James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontañón:
FNet: Mixing Tokens with Fourier Transforms. - Kartik Arora, Ajul Raj, Arun Goel, Seba Susan:
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning. - Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen:
Good Practices and A Strong Baseline for Traffic Anomaly Detection. - Sina Baghali, Zhaomiao Guo:
Impacts of Privately Owned Electric Vehicles on Distribution System Resilience: A Multi-agent Optimization Approach. - Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, Hongdong Li:
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior. - Guangyan Zhou, Wei Xu:
Super Solutions of the Model RB. - Jasper Brown, Salah Sukkarieh:
Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting. - Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-Processing of Grid-Based Paths. - Hyung-Jin Yoon, Hamidreza Jafarnejadsani, Petros G. Voulgaris:
Learning Image Attacks toward Vision Guided Autonomous Vehicles. - Ruian Shi, Quaid Morris:
Segmenting Hybrid Trajectories using Latent ODEs. - Shahar Lutati, Lior Wolf:
HyperHyperNetworks for the Design of Antenna Arrays. - Aditi Mishra, Shashank Ginjpalli, Chris Bryan:
News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting. - Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall:
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. - Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu:
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. - Sihang Chen, Weiqi Luo, Chao Yu:
Reinforcement Learning with Expert Trajectory For Quantitative Trading. - Barry Dowdeswell, Roopak Sinha, Dennis Jarvis, Jacqueline Jarvis, Stephen G. MacDonell:
Employing Agent Beliefs during Fault Diagnosis for IEC 61499 Industrial Cyber-Physical Systems. - Mohammad Amin Edrisi:
Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business. - Seung Jee Yang, Kyungjoon Cha:
GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers. - Jing Yang, Chee K. Yap:
The D-plus Discriminant and Complexity of Root Clustering. - Yimin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi:
Seismic Fault Segmentation via 3D-CNN Training by a Few 2D Slices Labels. - Wenjin Wang, Tingting Chen, Rui Ding, Gonzalo Seco-Granados, Li You, Xiqi Gao:
Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications. - Yamilka Toca-Díaz, Alejandro Valero, Ruben Gran Tejero, Darío Suárez Gracia:
RRCD: Redirección de Registros Basada en Compresión de Datos para Tolerar FallosPermanentes en una GPU. - Junfeng Li, Dan Li, Yukai Huang, Yang Cheng, Ruilin Ling:
Quick NAT: High performance NAT system on commodity platforms. - Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang:
Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge. - Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li:
Non-Recursive Graph Convolutional Networks. - Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai:
Trajectory Prediction for Autonomous Driving with Topometric Map. - Jun Huang, Gang Wu:
Sparse power methods for large-scale higher-order PageRank problems. - Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Bounding Information Leakage in Machine Learning. - Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen:
Selective Probabilistic Classifier Based on Hypothesis Testing. - Jiexuan Wu, Mingbo Liu, Wentian Lu, Kaijun Xie, Min Xie:
Non-iterative Optimization Algorithm for Active Distribution Grids Considering Uncertainty of Feeder Parameters. - Dachao Lin, Zhihua Zhang:
Directional Convergence Analysis under Spherically Symmetric Distribution. - Naoki Hirakura, Masaki Aida:
Perturbative expansion of the fundamental equation of online user dynamics for describing changes in eigenfrequencies. - Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, Maosong Sun:
Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents. - Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye:
Conformer: Local Features Coupling Global Representations for Visual Recognition. - Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester:
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention. - Savas Özkan, Gozde Bozdagi Akar:
Binarized Weight Error Networks With a Transition Regularization Term. - Gerhard Kramer:
Feedback Gains for Gaussian Massive Multiple-Access Channels. - Chence Shi, Shitong Luo, Minkai Xu, Jian Tang:
Learning Gradient Fields for Molecular Conformation Generation. - Oren Nuriel, Sharon Fogel, Ron Litman:
TextAdaIN: Fine-Grained AdaIN for Robust Text Recognition. - David P. Ellerman:
Generative Mechanisms: The mechanisms that implement codes. - Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell:
Diagnosable-by-Design Model-Driven Development for IEC 61499 Industrial Cyber-Physical Systems. - Yarden Sharon, Daniel Naftalovich, Lidor Bahar, Yael Refaely, Ilana Nisky:
Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training. - Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas:
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. - Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng:
CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation. - Jonathan E. W. Huffmann, Martin Mittelbach:
On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations. - Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua:
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. - Chaolong Jiang, Xu Qian, Songhe Song, Jin Cui:
Arbitrary high-order linear structure-preserving schemes for the regularized long-wave equation. - Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu:
Automated Decision-based Adversarial Attacks. - Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. - Md. Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad:
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture. - Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. - Lorenzo Minto, Moritz Haller, Hamed Haddadi, Benjamin Livshits:
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback. - Rishi Hazra, Sonu Dixit:
gComm: An environment for investigating generalization in Grounded Language Acquisition. - Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
High-performance symbolic-numerics via multiple dispatch. - Zihan Liu, Genta Indra Winata, Pascale Fung:
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation. - Matthew Malek-Podjaski, Fani Deligianni:
Preserving Privacy in Human-Motion Affect Recognition. - Arun Verma, Manjesh Kumar Hanawal:
Stochastic Multi-Armed Bandits with Control Variates. - Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong:
Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. - Karl Bringmann, Vasileios Nakos:
Fast n-fold Boolean Convolution via Additive Combinatorics. - Francisco J. Vaquero-Caballero, David J. Ives, Seb J. Savory:
Perturbation-based Frequency Domain Linear and Nonlinear Noise Estimation. - Théo Ding, Walter Vermeiren, Sylvie Ranwez, Binbin Xu:
Improving Patent Mining and Relevance Classification using Transformers. - Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. - Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. - Alberto Cetoli:
Dispatcher: A Message-Passing Approach To Language Modelling. - Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. - Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid:
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation. - Michal Koziarski, Colin Bellinger, Michal Wozniak:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. - m. c. schraefel, Michael D. Jones:
Discomfort: a New Material for Interaction Design. - Xiao Xiao, Fehmi Cirak:
Concurrent infill topology and shape optimisation of lattice-skin structures. - Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. - Farisa Benta Safir, Abu Quwsar Ohi, Muhammad Firoz Mridha, Muhammad Mostafa Monowar, Md. Abdul Hamid:
End-to-End Optical Character Recognition for Bengali Handwritten Words. - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. - Daniel Klug, Elke Schlote:
Designing a Web Application for Simple and Collaborative Video Annotation That Meets Teaching Routines and Educational Requirements. - Gökhan Göktürk, Kamer Kaya:
Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches. - Dominik Stammbach, Elliott Ash:
DocSCAN: Unsupervised Text Classification via Learning from Neighbors. - Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen:
The Modern Mathematics of Deep Learning. - Panayiotis Danassis, Florian Wiedemair, Boi Faltings:
Improving Multi-agent Coordination by Learning to Estimate Contention. - Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. - Francesco Micheli, Mattia Bersani, Stefano Arrigoni, Francesco Braghin, Federico Cheli:
NMPC trajectory planner for urban autonomous driving. - Adam Polak, Lars Rohwedder, Karol Wegrzycki:
Knapsack and Subset Sum with Small Items. - Fan Shen:
A Novel Map of Knowledge for Science. - Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. - Anadi Chaman, Ivan Dokmanic:
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling. - Gerson Portilla, Irina V. Alexandrova, Sabine Mondié:
Lyapunov-Krasovskii functionals for some classes of nonlinear time delay systems. - Diogo Lobo:
Fast stable finite difference schemes for nonlinear cross-diffusion. - Yingbo Li, Yucong Duan, Zakaria Maamar, Haoyang Che, Anamaria-Beatrice Spulber, Stelios Fuentes:
Swarm Differential Privacy for Purpose Driven Data-Information-Knowledge-Wisdom Architecture. - Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras:
Analyzing Online Political Advertisements. - Peihong Yuan, Mustafa Cemil Coskun:
Complexity-Adaptive Maximum-Likelihood Decoding of Modified GN-Coset Codes. - Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. - Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. - Tomoya Kemmochi, Shun Sato:
Scalar auxiliary variable approach for conservative/dissipative partial differential equations with unbounded energy. - Jonathan Gorard, Manojna Namuduri, Xerxes D. Arsiwalla:
Fast Automated Reasoning over String Diagrams using Multiway Causal Structure. - Daniel Ferguson, François G. Meyer:
Approximate Fréchet Mean for Data Sets of Sparse Graphs. - Bo Xu, Peng Wang, Yijia He, Yu Chen, Yongnan Chen, Ming Zhou:
Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry. - Heinrich Dinkel, Shuai Wang, Xuenan Xu, Mengyue Wu, Kai Yu:
Voice activity detection in the wild: A data-driven approach using teacher-student training. - Bin Zhao, Haopeng Li, Xiaoqiang Lu, Xuelong Li:
Reconstructive Sequence-Graph Network for Video Summarization. - Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. - Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore:
Robust Training Using Natural Transformation. - Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento:
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil. - Ange Lou, Shuyue Guan, Murray H. Loew:
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. - Can Yao, Yuan Yuan, Zhiyu Jiang:
Self-supervised spectral matching network for hyperspectral target detection. - Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. - Yifan Chen, Thomas Y. Hou, Yixuan Wang:
Exponentially convergent multiscale methods for high frequency heterogeneous Helmholtz equations. - Lu-Ming Wang, Ya-Nan Wang, Xiao-Feng Gong, Qiu-Hua Lin, Fei Xiang:
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition. - Guangyao Zhou, Wenhong Tian, Rajkumar Buyya:
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions. - Hanqing Wang, Zan Wang, Wei Liang, Lap-Fai Yu:
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning. - Artyom M. Grigoryan:
Effective Methods of QR-Decompositions of Square Complex Matrices by Fast Discrete Signal-Induced Heap Transforms. - Shih-Lun Wu, Yi-Hsuan Yang:
MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE. - Sadjad Sedighi, Ender Ayanoglu:
Diversity Analysis of Millimeter-Wave OFDM Massive MIMO Systems. - Abhishek Aich:
Elastic Weight Consolidation (EWC): Nuts and Bolts. - Nidhi Gowdra, Roopak Sinha, Stephen G. MacDonell:
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification. - Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu:
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media. - Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. - Yuejiao Su, Yuan Yuan, Zhiyu Jiang:
Deep feature selection-and-fusion for RGB-D semantic segmentation. - Mohammad Alawadhi, Wei Yan:
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning. - Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu:
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. - T.-H. Hubert Chan, Chui Shan Lee:
On the Hardness of Opinion Dynamics Optimization with L1-Budget on Varying Susceptibility to Persuasion. - Jiangfeng Hu, Haifan Yin, Emil Björnson:
MmWave MIMO Communication with Semi-Passive RIS: A Low-Complexity Channel Estimation Scheme. - Mary Southern:
A Framework for Reasoning About LF Specifications. - Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander:
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking. - Hailin Shi, Dan Zeng, Yichun Tai, Hang Du, Yibo Hu, Tao Mei:
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning. - KayYen Wong, Miriam Redi, Diego Sáez-Trumper:
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia. - Xin Xiao, Nithin Raveendran, Bane Vasic, Shu Lin, Ravi Tandon:
FAID Diversity via Neural Networks. - Yash Pratyush Sinha, Pranshu Malviya, Rupaj Kumar Nayak:
Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper. - He Ye, Matias Martinez, Martin Monperrus:
Neural Program Repair with Execution-based Backpropagation. - Jinyin Chen, Linhui Ye, Zhaoyan Ming:
MASS: Multi-task Anthropomorphic Speech Synthesis Framework. - Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang:
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. - Nidhi Gowdra, Roopak Sinha, Stephen G. MacDonell:
Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images. - Andrew Jacobsen, Alan Chan:
Parameter-free Gradient Temporal Difference Learning. - Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen:
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery. - Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. - Ziyuan Sha, Siyu Chen, Zhaocheng Wang:
Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network. - Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou:
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. - Aman Gupta, Deepak Bhatt, Anubha Pandey:
Transitioning from Real to Synthetic data: Quantifying the bias in model. - Yasuaki Kobayashi, Kazuhiro Kurita, Kunihiro Wasa:
Polynomial-Delay Enumeration of Large Maximal Matchings. - B. Boys, Tim J. Dodwell, Mark Hobbs, Mark Girolami:
PeriPy - A High Performance OpenCL Peridynamics Package. - Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen:
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. - Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. - Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz:
Unsupervised Human Pose Estimation through Transforming Shape Templates. - Juncai He, Lin Li, Jinchao Xu:
ReLU Deep Neural Networks from the Hierarchical Basis Perspective. - Xiao Lv, Wei Cui, Yulong Liu:
A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Gradient Descent with Hard Thresholding. - Rafael Cabañas, Alessandro Antonucci:
CREPO: An Open Repository to Benchmark Credal Network Algorithms. - Milan van den Heuvel, Jannes Nys:
Communication coordination in network controllability. - Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. - Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. - Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller:
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data. - Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. - Marie Fortin, Louwe B. Kuijer, Patrick Totzke, Martin Zimmermann:
HyperLTL Satisfiability is Σ11-complete, HyperCTL* Satisfiability is Σ12-complete. - Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah:
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. - Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. - Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li:
UGRec: Modeling Directed and Undirected Relations for Recommendation. - Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge:
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation. - Patricia Wollstadt, Sebastian Schmitt, Michael Wibral:
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition. - Matthias Beckmann, Ayush Bhandari, Felix Krahmer:
The Modulo Radon Transform: Theory, Algorithms and Applications. - Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie:
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. - Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao:
You Only Learn One Representation: Unified Network for Multiple Tasks. - Xiaoyu Zhang, Haichao Shi, Changsheng Li, Xinchu Shi:
Action Shuffling for Weakly Supervised Temporal Localization. - Xiang Zhang, Yinfei Xu, Qinghe Liu, Zhicheng Liu, Jian Lu, Qiao Wang:
Robust Graph Learning Under Wasserstein Uncertainty. - Orian Leitersdorf, Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory. - Qinyao Chang, Shiping Zhu, Lanyun Zhu:
Temporal-Spatial Feature Pyramid for Video Saliency Detection. - Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data. - Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong:
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. - Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary:
Similarities between Arabic Dialects: Investigating Geographical Proximity. - Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, Rajen Subba:
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking. - Matthieu Jonckheere, Manuel Sáenz:
Exact asymptotic characterisation of running time for approximate gradient descent on random graphs. - Martin O. Elingaard, Niels Aage, Jakob Andreas Bærentzen, Ole Sigmund:
De-homogenization using Convolutional Neural Networks. - Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi:
SIRNN: A Math Library for Secure RNN Inference. - Antonin Delpeuch, Jamie Vicary:
The Word Problem for Braided Monoidal Categories is Unknot-Hard. 72-87 - Jun Lu:
A rigorous introduction for linear models. - Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha:
ReadTwice: Reading Very Large Documents with Memories. - Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer, Volker Steinhage:
Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling. - Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. - Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck:
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search. - Junaid Ali, Preethi Lahoti, Krishna P. Gummadi:
Accounting for Model Uncertainty in Algorithmic Discrimination. - Dominik Drexler, Jendrik Seipp, Hector Geffner:
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version. - Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck:
An Analysis of Phenotypic Diversity in Multi-Solution Optimization. - Maiara F. Bollauf, Øyvind Ytrehus:
Tiling of Constellations. - Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck:
Designing Air Flow with Surrogate-assisted Phenotypic Niching. - Nandha Kumar Kandasamy, Sarad Venugopalan, Tin Kit Wong, Leu Junming Nicholas:
EPICTWIN: An Electric Power Digital Twin for Cyber Security Testing, Research and Education. - Pablo Lanillos, Marcel van Gerven:
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception. - Christos-Minas Mathas, Konstantinos-Panagiotis Grammatikakis, Costas Vassilakis, Nicholas Kolokotronis, Vasiliki-Georgia Bilali, Dimitris Kavallieros:
Threat Landscape for Smart Grid Systems. - Esraa Ali, Annalina Caputo, Séamus Lawless, Owen Conlan:
A Probabilistic Approach to Personalize Type-based Facet Ranking for POI Suggestion. - Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. - Gueltoum Bendiab, Konstantinos-Panagiotis Grammatikakis, Ioannis Koufos, Nicholas Kolokotronis, Stavros Shiaeles:
Advanced Metering Infrastructures: Security Risks and Mitigation. - Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi:
Loss-Aversively Fair Classification. - Andrea Cacioppo, Janis Nötzel, Matteo Rosati:
Compound Channel Capacities under Energy Constraints and Application. - Jiakun Liu, Wenyi Zhang, H. Vincent Poor:
A Rate-Distortion Framework for Characterizing Semantic Information. - Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang:
Visual Grounding with Transformers. - Sartaj Ul Hasan, Mohit Pal, Pantelimon Stanica:
Boomerang uniformity of a class of power maps. - Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao:
Primitive Representation Learning for Scene Text Recognition. - Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller:
Do Concept Bottleneck Models Learn as Intended? - Paolo Cintia, Giovanni Mauro, Luca Pappalardo, Paolo Ferragina:
An interactive dashboard for searching and comparing soccer performance scores. - Tonatiuh Hernández-Del-Toro, Carlos A. Reyes García, Luis Villaseñor Pineda:
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals. - Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo:
PyPlutchik: visualising and comparing emotion-annotated corpora. - Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
How could Neural Networks understand Programs? - Zhewei Chen, Linyue Zhou, Wenwen Yu:
ADASYN-Random Forest Based Intrusion Detection Model. - Hongyong Wang, Xinjian Zhang, Su Yang, Weishan Zhang:
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow. - Gianpiero Cattaneo, Luca Manzoni:
Parallel Sandpiles or Spurious Bidirectional Icepiles? - Florian Henkel, Gerhard Widmer:
Multi-modal Conditional Bounding Box Regression for Music Score Following. - Sasanka Sekhar Chanda, Sai Yayavaram:
Overcoming Complexity Catastrophe: An Algorithm for Beneficial Far-Reaching Adaptation under High Complexity. - Shachar Klaiman, Marius Lehne:
DocReader: Bounding-Box Free Training of a Document Information Extraction Model. - Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. - En Yu, Zhuoling Li, Shoudong Han, Hongwei Wang:
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation. - Carmen Chan-Zheng, Pablo Borja, Jacquelien M. A. Scherpen:
Passivity-based control of mechanical systems with linear damping identification. - David C. Schedl, Indrajit Kurmi, Oliver Bimber:
An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning. - Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. - Jianqi Chen, Jieqiang Wei, Wei Chen, Henrik Sandberg, Karl Henrik Johansson, Jie Chen:
Geometrical Characterization of Sensor Placement for Cone-Invariant and Multi-Agent Systems against Undetectable Zero-Dynamics Attacks. - Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
DefSent: Sentence Embeddings using Definition Sentences. - Ji Ge, Yu-Yuan Zhang, Kai-Li Xu, Ji-Shuo Li, Xi-Wen Yao, Chun-Ying Wu, Shuang-Yuan Li, Fang Yan, Jin-Jia Zhang, Qing-Wei Xu:
Interaction Theory of Hazard-Target System. - Michael Cerny Green, Victoria Yen, Sam Earle, Dipika Rajesh, Maria Edwards, Lisa B. Soros:
Exploring open-ended gameplay features with Micro RollerCoaster Tycoon. - Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig:
Generative Adversarial Registration for Improved Conditional Deformable Templates. - Srinivas Vivek:
Attacks on a Privacy-Preserving Publish-Subscribe System and a Ride-Hailing Service. - Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu:
AFINet: Attentive Feature Integration Networks for Image Classification. - Alejandro Ranchal-Pedrosa, Vincent Gramoli:
Agreement in the presence of disagreeing rational players: The Huntsman Protocol. - Jonas Kusch, Gianluca Ceruti, Lukas Einkemmer, Martin Frank:
Dynamical low-rank approximation for Burgers' equation with uncertainty. - Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. - Jinhang Zuo, Carlee Joe-Wong:
Combinatorial Multi-armed Bandits for Resource Allocation. - Iacopo Vagliano, Lukas Galke, Ansgar Scherp:
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. - Anina Gruica, Alberto Ravagnani:
The Typical Non-Linear Code over Large Alphabets. - Tyler Kell, Haaroon Yousaf, Sarah Allen, Sarah Meiklejohn, Ari Juels:
Forsage: Anatomy of a Smart-Contract Pyramid Scheme. - Imane Fouad, Cristiana Santos, Arnaud Legout, Nataliia Bielova:
Did I delete my cookies? Cookies respawning with browser fingerprinting. - David Landa-Marbán, Kundan Kumar, Svenn Tveit, Sarah Eileen Gasda:
Numerical studies of CO2 leakage remediation by micp-based plugging technology. - Franz Wotawa, Lorenz Klampfl, Ledio Jahaj:
A framework for the automation of testing computer vision systems. - Alexandra Bugariu, Arshavir Ter-Gabrielyan, Peter Müller:
Identifying Overly Restrictive Matching Patterns in SMT-based Program Verifiers. - Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria:
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. - Jiazhi Song, Inna Sharf:
Stability Constrained Mobile Manipulation Planning on Rough Terrain. - James C. Davis, Louis G. Michael IV, Christy A. Coghlan, Francisco Servant, Dongyoon Lee:
Why Aren't Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions. - Yihao Luo, Ailing Yang, Fupeng Sun, Huafei Sun:
AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature. - (Withdrawn) A Critical Review of Information Bottleneck Theory and its Applications to Deep Learning.
- Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen:
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems. - Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad:
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. - Delong Zhu, Chaoqun Wang, Wenshan Wang, Rohit Garg, Sebastian A. Scherer, Max Q.-H. Meng:
VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure. - Javier Rojo, David Valencia, Javier Berrocal, Enrique Moguel, José García-Alonso, Juan Manuel Murillo Rodríguez:
Trials and Tribulations of Developing Hybrid Quantum-Classical Microservices Systems. - Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou:
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors. - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Nesrine Atitallah, Henda Ben Ghézala:
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery. - Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei:
Boosting Semi-Supervised Face Recognition with Noise Robustness. - Myna Vajha, Vinayak Ramkumar, M. Nikhil Krishnan, P. Vijay Kumar:
Explicit Rate-Optimal Streaming Codes with Smaller Field Size. - Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. - Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng:
Continual Learning via Bit-Level Information Preserving. - Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem:
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation. - Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jie Zhang:
G-Tran: Making Distributed Graph Transactions Fast. - Jacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph:
Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation. - Farhad Mirkarimi, Nariman Farsad:
Neural Computation of Capacity Region of Memoryless Multiple Access Channels. - Carlton Shepherd, Konstantinos Markantonakis, Nico van Heijningen, Driss Aboulkassimi, Clément Gaine, Thibaut Heckmann, David Naccache:
Physical Fault Injection and Side-Channel Attacks on Mobile Devices: A Comprehensive Survey. - Toru Takahashi, Daisuke Sato, Hiroshi Isakari, Toshiro Matsumoto:
A shape optimisation with the isogeometric boundary element method and adjoint variable method for the three-dimensional Helmholtz equation. - Shakti Kumar, Jithin Pradeep, Hussain Zaidi:
Learning Robust Latent Representations for Controllable Speech Synthesis. - Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer:
ICON: Learning Regular Maps Through Inverse Consistency. - Kenneth Joseph, Jonathan Howard Morgan:
Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem. - Bertrand Charpentier, Oliver Borchert, Daniel Zügner, Simon Geisler, Stephan Günnemann:
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions. - Anne Collin, Artur Bilka, Scott Pendleton, Radboud J. Duintjer Tebbens:
Safety of the Intended Driving Behavior Using Rulebooks. - Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. - Angel Andres Daruna, Lakshmi Nair, Weiyu Liu, Sonia Chernova:
Towards Robust One-shot Task Execution using Knowledge Graph Embeddings. - Hitesh Tewari:
T-Cash: Transferable Fiat Backed Coins. - Niranjan Rai, Xiang Lian:
Probabilistic Top-k Dominating Queries in Distributed Uncertain Databases (Technical Report). - Naresh Goud Boddu, Upendra S. Kapshikar:
Tamper Detection against Unitary Operators. - Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis:
A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment. - Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. - Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. - Christopher M. Poskitt:
Incorrectness Logic for Graph Programs. - Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand:
Towards Benchmarking the Utility of Explanations for Model Debugging. - Rutu Gandhi, Yi Hong:
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation. - Gerard I. Gállego, Ioannis Tsiamas, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà:
UPC's Speech Translation System for IWSLT 2021. - Julian D. Gilbey, Carola-Bibiane Schönlieb:
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. - Erik Englesson, Hossein Azizpour:
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. - Peshal Nayak:
AP-side WLAN Analytics. - Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. - Gábor Rödönyi, Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens, Daniel Pup, Ádám Kisari, Zs. Vígh, Péter Korös, Alexandros Soumelidis, József Bokor:
Identification of the nonlinear steering dynamics of an autonomous vehicle. - Yan Zhou, Murat Kantarcioglu, Chris Clifton:
Improving Fairness of AI Systems with Lossless De-biasing. - Yufan Zhou, Changyou Chen, Jinhui Xu:
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels. - Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet:
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. - Chengdong Yao:
Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine Learning. - Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi:
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. - Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer:
Stochastic Image-to-Video Synthesis using cINNs. - Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu:
Self-Supervised Learning with Swin Transformers. - Jan Niklas Fuhg, Michele Marino, Nikolaos Bouklas:
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks. - Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall:
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. - Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. - Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava:
Towards Discovery and Attribution of Open-world GAN Generated Images. - Christoph Brause, Petr A. Golovach, Barnaby Martin, Daniël Paulusma, Siani Smith:
Partitioning H-Free Graphs of Bounded Diameter. - Lening Li, Jie Fu:
Policy Synthesis for Metric Interval Temporal Logic with Probabilistic Distributions. - Md. Solimul Chowdhury, Martin Müller, Jia-Huai You:
A Deep Dive into Conflict Generating Decisions. - Suman Banerjee, Bithika Pal, Maheswar Singhamahapatra:
A Social Distancing-Based Facility Location Approach for Combating COVID-19. - Qiwei Feng, Bin Han, Peter D. Minev:
A High Order Compact Finite Difference Scheme for Elliptic Interface Problems with Discontinuous and High-Contrast Coefficients. - Xinyu Yi, Yuxiao Zhou, Feng Xu:
TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors. - Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar:
Efficient Self-Supervised Data Collection for Offline Robot Learning. - Xuan Liu, Cagdas D. Onal, Jie Fu:
Learning Contact-aware CPG-based Locomotion in a Soft Snake Robot. - Alec Kirkley, M. E. J. Newman:
Representative community divisions of networks. - Alex Pappachen James, Leon O. Chua:
Analog Neural Computing with Super-resolution Memristor Crossbars. - Mohit Kumar:
Differentially Private Transfer Learning with Conditionally Deep Autoencoders. - Yingxue Fu, Mark-Jan Nederhof:
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity. - Mladen Kovacevic, Dejan Vukobratovic:
Asymptotic Behavior and Typicality Properties of Runlength-Limited Sequences. - Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. - Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto:
A Description Logic for Analogical Reasoning. - Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. - Fatemeh Kaveh-Yazdy, Sajjad Zarifzadeh:
Measuring Economic Policy Uncertainty Using an Unsupervised Word Embedding-based Method. - J. Hunter Priniski, Mason McClay, Keith J. Holyoak:
Rise of QAnon: A Mental Model of Good and Evil Stews in an Echochamber. - Casey Kennington:
Language Acquisition is Embodied, Interactive, Emotive: a Research Proposal. - Hafez Farazi, Jan Nogga, Sven Behnke:
Local Frequency Domain Transformer Networks for Video Prediction. - Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUrgical PRediction GAN for Events Anticipation. - Aryan Arbabi, Mingqiu Wang, Laurent El Shafey, Nan Du, Izhak Shafran:
R2D2: Relational Text Decoding with Transformers. - Zilong Wang, Mingjie Zhan, Houxing Ren, Zhaohui Hou, Yuwei Wu, Xingyan Zhang, Ding Liang:
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding. - Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. - Wenhao Zhang, Ramin Ramezani, Arash Naeim:
An introduction to causal reasoning in health analytics. - Lulu Gong, Ming Cao:
Different Environment Feedback in Fast-slow Eco-evolutionary Dynamics. - Ashwin Jacob, Jari J. H. de Kroon, Diptapriyo Majumdar, Venkatesh Raman:
Deletion to Scattered Graph Classes I -- case of finite number of graph classes. - Shenghui Chen, Kayla Boggess, David Parker, Lu Feng:
Multi-Objective Controller Synthesis with Uncertain Human Preferences. - Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Blake A. Hechtman, Yanping Huang, Rahul Joshi, Maxim Krikun, Dmitry Lepikhin, Andy Ly, Marcello Maggioni, Ruoming Pang, Noam Shazeer, Shibo Wang, Tao Wang, Yonghui Wu, Zhifeng Chen:
GSPMD: General and Scalable Parallelization for ML Computation Graphs. - David A. Kopriva, Jan Nordström, Gregor J. Gassner:
On the Theoretical Foundation of Overset Grid Methods for Hyperbolic Problems: Well-Posedness and Conservation. - David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney:
The Influence of Memory in Multi-Agent Consensus. - Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas:
HuMoR: 3D Human Motion Model for Robust Pose Estimation. - Francis M. Tyers, Josh Meyer:
What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice. - Bishwo Adhikari, Esa Rahtu, Heikki Huttunen:
Sample selection for efficient image annotation. - Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. - Mattia Rigotti, Rong Zhu:
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks. - Laura Pérez-Mayos, Alba Táboas García, Simon Mille, Leo Wanner:
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models. - Lia Bozzone, Pavel Naumov:
Budget-Constrained Coalition Strategies with Discounting. - Bas van Stein, Fabio Caraffini, Anna V. Kononova:
Emergence of Structural Bias in Differential Evolution. - Junyi Huang, Yisheng Fang, Zhichao Ruan:
Antiferromagnetic spatial photonic Ising machine through optoelectronic correlation computing. - Girish Joshi, Girish Chowdhary:
Adaptive Policy Transfer in Reinforcement Learning. - Magnús M. Halldórsson, Alexandre Nolin, Tigran Tonoyan:
Ultrafast Distributed Coloring of High Degree Graphs. - Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika, Abdellatif Kobbane:
Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. - David Doty, Eric E. Severson:
ppsim: A software package for efficiently simulating and visualizing population protocols. - Péter Gács:
Lecture notes on descriptional complexity and randomness. - Amita Misra, Zhe Liu, Jalal Mahmud:
Accountable Error Characterization. - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines. - Shuqi Dai, Xichu Ma, Ye Wang, Roger B. Dannenberg:
Personalized Popular Music Generation Using Imitation and Structure. - Deepanshu Kush, Aleksandar Nikolov, Haohua Tang:
Near Neighbor Search via Efficient Average Distortion Embeddings. - Jia Guo, Jiankang Deng, Alexandros Lattas, Stefanos Zafeiriou:
Sample and Computation Redistribution for Efficient Face Detection. - Pengwei Wang, Xin Ye, Xiaohuan Zhou, Jinghui Xie, Hao Wang:
Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech. - Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed In-memory Data Management for Workflow Executions. - Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. - Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin:
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage. - Huihuang Chen, Li Li, Jie Chen, Kuo-Yi Lin:
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label. - Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah:
An improved tile-based scalable distributed management model of massive high-resolution satellite images. - Susumu Hashimoto, Shinji Mizuno:
A 3-approximation list scheduling algorithm for a single-machine scheduling problem with a non-renewable resource and total weighted completion time criterion. - Zhenyuan Yuan, Minghui Zhu:
Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning. - Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. - Yang Liu, Saeed Anwar, Zhenyue Qin, Pan Ji, Sabrina B. Caldwell, Tom Gedeon:
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network. - Shanto Roy, Nazia Sharmin, Jaime C. Acosta, Christopher Kiekintveld, Aron Laszka:
Survey and Taxonomy of Adversarial Reconnaissance Techniques. - Lintao Ye, Philip E. Paré, Shreyas Sundaram:
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements. - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Graphical Cake Cutting via Maximin Share. - Wael Jaafar, Halim Yanikomeroglu:
HAPS-ITS: Enabling Future ITS Services in Trans-Continental Highways. - María Guadalupe Gramajo, Luciana C. Ballejos, Mariel Ale:
Recurrent Neural Networks to automate Quality assessment of Software Requirements. - Fanfei Chen, Paul Szenher, Yewei Huang, Jinkun Wang, Tixiao Shan, Shi Bai, Brendan J. Englot:
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty. - Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos:
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. - Chang Li, Hua Ouyang:
Federated Unbiased Learning to Rank. - Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. - Abdul Ali, Rikuo Kawamoto, Tomohiro Shibata:
A Study on Simultaneous Use of a Robotic Walker and a Pneumatic Walking Assist Device Designed for PD Patients. - Vincent W. Hill, Ryan W. Thomas, Jordan D. Larson:
Autonomous Situational Awareness for Robotic Swarms in High-Risk Environments. - Ramtin Jabbari, Nauman Bin Ali, Kai Petersen:
A Value-driven Approach for Software Process Improvement - A Solution Proposal. - Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. - Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Exact Recovery in the General Hypergraph Stochastic Block Model. - Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang:
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. - Rajat Gupta, Madhu Viswanatham V., Manikandan K:
An Innovative Security Strategy using Reactive Web Application Honeypot. - Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. - Xiaobin Liu, Shiliang Zhang:
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification. - Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang:
EL-Attention: Memory Efficient Lossless Attention for Generation. - Zixu Wang, Yishu Miao, Lucia Specia:
Cross-Modal Generative Augmentation for Visual Question Answering. - Ruo Li, Wei Zhong:
Generalized implementation of the order-preserving mapping for mapped WENO schemes. - Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. - Micah Corah:
A Simple Bound for Resilient Submodular Maximization with Curvature. - Yonhon Ng, Pieter van Goor, Tarek Hamel, Robert E. Mahony:
Equivariant Systems Theory and Observer Design for Second Order Kinematic Systems on Matrix Lie Groups. - Francesco Zola, Lander Segurola, Jan Lukas Bruse, Mikel Galar Idoate:
Temporal graph-based approach for behavioural entity classification. - Wenkai Liang, Yan Wu, Ming Li, Peng Zhang, Yice Cao, Xin Hu:
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification. - Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan:
Characterizing GAN Convergence Through Proximal Duality Gap. - Tatsuya Akutsu, Tomoya Mori, Naotoshi Nakamura, Satoshi Kozawa, Yuhei Ueno, Thomas N. Sato:
Tree Edit Distance with Variables. Measuring the Similarity between Mathematical Formulas. - Oded Cohen:
ORCEA: Object Recognition by Continuous Evidence Assimilation. - Lingjuan Lyu:
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness. - Reut Levi:
Testing Triangle Freeness in the General Model in Graphs with Arboricity O(√n). - Mayuko Kori, Ichiro Hasuo, Shin-ya Katsumata:
Fibrational Initial Algebra-Final Coalgebra Coincidence over Initial Algebras: Turning Verification Witnesses Upside Down. - Songyang Zhang, Jiale Zhou, Xuming He:
Learning Implicit Temporal Alignment for Few-shot Video Classification. - Wenhong Tian, Yuanlun Xie, Tingsong Ma, Hengxin Zhang:
Uncover Common Facial Expressions in Terracotta Warriors: A Deep Learning Approach. - Lars Berscheid, Torsten Kröger:
Jerk-limited Real-time Trajectory Generation with Arbitrary Target States. - Nikita Shanin, Laura Cottatellucci, Robert Schober:
Optimal Transmit Strategy for Multi-user MIMO WPT Systems With Non-linear Energy Harvesters. - Guoqiu Wang, Huanqian Yan, Ying Guo, Xingxing Wei:
Improving Adversarial Transferability with Gradient Refining. - Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. - Diego Antognini, Boi Faltings:
Rationalization through Concepts. - Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu:
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. - Shun-Po Chuang, Yung-Sung Chuang, Chih-Chiang Chang, Hung-yi Lee:
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation. - Giovanni Geraci, Adrian García-Rodríguez, Mohammad Mahdi Azari, Angel Lozano, Marco Mezzavilla, Symeon Chatzinotas, Yun Chen, Sundeep Rangan, Marco Di Renzo:
What Will the Future of UAV Cellular Communications Be? A Flight from 5G to 6G. - Jitao Xu, François Yvon:
Can You Traducir This? Machine Translation for Code-Switched Input. - Rubi Arviv, Reut Levi:
Improved LCAs for constructing spanners. - Salah El Falou, Fouad Trad:
Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs. - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs. - Leon Kellerhals, Malte Renken, Philipp Zschoche:
Parameterized Algorithms for Diverse Multistage Problems. - Eric Wong, Shibani Santurkar, Aleksander Madry:
Leveraging Sparse Linear Layers for Debuggable Deep Networks. - Pawan Goyal, Peter Benner:
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach. - Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong:
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration. - Maximilian T. Fischer, Daniel A. Keim, Manuel Stein:
Video-based Analysis of Soccer Matches. - Matthias Aßenmacher, Patrick Schulze, Christian Heumann:
Benchmarking down-scaled (not so large) pre-trained language models. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
Consistent Multiple Graph Embedding for Multi-View Clustering. - Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Operation Embeddings for Neural Architecture Search. - Xiaolong Wei, Lifang Yang, Xianglin Huang, Gang Cao, Zhulin Tao, Zhengyang Du, Jing An:
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments. - Òscar Lorente, Ian Riera, Shauryadeep Chaudhuri, Oriol Catalan, Víctor Casales:
Museum Painting Retrieval. - Òscar Lorente, Ian Riera, Aditya Rana:
Image Classification with Classic and Deep Learning Techniques. - Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. - Hideaki Joko, Faegheh Hasibi, Krisztian Balog, Arjen P. de Vries:
Conversational Entity Linking: Problem Definition and Datasets. - Evropi Stefanidi, Maria Korozi, Asterios Leonidis, Dimitrios Arampatzis, Margherita Antona, George Papagiannakis:
When Children Program Intelligent Environments: Lessons Learned from a Serious AR Game. - Òscar Lorente, Ian Riera, Aditya Rana:
Scene Understanding for Autonomous Driving. - Adrien Bardes, Jean Ponce, Yann LeCun:
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. - Pol Albacar, Òscar Lorente, Eduard Mainou, Ian Riera:
Video Surveillance for Road Traffic Monitoring. - Luciano Freitas de Souza, Petr Kuznetsov, Thibault Rieutord, Sara Tucci Piergiovanni:
Accountability and Reconfiguration: Self-Healing Lattice Agreement. - Armando B. Matos, Luca Paolini, Luca Roversi:
Splitting recursion schemes into reversible and classical interacting threads. - Ananya Srivastava, Mohammed Hasan, Bhargav Yagnik, Rahee Walambe, Ketan Kotecha:
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media. - Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. - Zihan Zheng, Peichen Xie, Xian Zhang, Shuo Chen, Yang Chen, Xiaobing Guo, Guangzhong Sun, Guangyu Sun, Lidong Zhou:
Agatha: Smart Contract for DNN Computation. - Mathieu Léonardon, Vincent Gripon:
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. - Yanjun Zhang, Hanyu Li:
Preconvergence of the randomized extended Kaczmarz method. - Paul-André Melliès:
Asynchronous Template Games and the Gray Tensor Product of 2-Categories. - Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun:
One Shot Face Swapping on Megapixels. - Guanqiang Gao, Bin Xin, Yi Mei, Shuxin Ding, Juan Li:
A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem. - Matthew A. Price, Luke Pratley, Jason D. McEwen:
Sparse image reconstruction on the sphere: a general approach with uncertainty quantification. - Takeshi Fukaya, Koki Ishida, Akie Miura, Takeshi Iwashita, Hiroshi Nakashima:
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures. - Chengmei Niu, Hanyu Li:
Optimal Sampling Algorithms for Block Matrix Multiplication. - Susana Nunes, Rita Torres Sousa, Catia Pesquita:
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies. - Zhao-Wei Wang, Xiao-Wen Liu, Qing-Na Li:
A Euclidean Distance Matrix Model for Convex Clustering. - Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, José Camacho-Collados:
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? - Rodrigo Bonifácio, Stefan Krüger, Krishna Narasimhan, Eric Bodden, Mira Mezini:
Dealing with Variability in API Misuse Specification. - Abdelkerim Amari, André Richter:
Multi-dimensional Short Blocklength Probabilistic Shaping for Digital Subcarrier Multiplexing Systems. - Aleksandra Urman, Mykola Makhortykh:
You Are How (and Where) You Search? Comparative Analysis of Web Search Behaviour Using Web Tracking Data. - Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters:
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. - Laila El Hamamsy, Vaios Papaspyros, Taavet Kangur, Laura Mathex, Christian Giang, Melissa Skweres, Barbara Bruno, Francesco Mondada:
Exploring a Handwriting Programming Language for Educational Robots. - Travis Gagie:
Compact Euler Tours of Trees with Small Maximum Degree. - Petr Kuznetsov, Yvonne-Anne Pignolet, Pavel Ponomarev, Andrei Tonkikh:
Permissionless and Asynchronous Asset Transfer [Technical Report]. - Xinxing He, Yuan Yuan, Zhiyu Jiang:
Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization. - Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. - Max Kesselbacher, Andreas Bollin:
Towards the Use of Slice-based Cohesion Metrics with Learning Analytics to Assess Programming Skills. - Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Designing an Automatic Agent for Repeated Language based Persuasion Games. - Morgane Chevalier, Laila El Hamamsy, Christian Giang, Barbara Bruno, Francesco Mondada:
Teachers' perspective on fostering computational thinking through educational robotics. - Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. - Jan-Peter Kucklick, Oliver Müller:
A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal. - Mingyue Zhang, Jialong Li, Haiyan Zhao, Kenji Tei, Shinichi Honiden, Zhi Jin:
A Meta Reinforcement Learning-based Approach for Self-Adaptive System. - Francisco Carpio, Wolfgang Bziuk, Admela Jukan:
Scaling Migrations and Replications of Virtual Network Functions based on Network Traffic Forecasting. - Jeffrey Cornelis, Wim Vanroose:
Sequential Projected Newton method for regularization of nonlinear least squares problems. - Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. - Dominique Lavenier:
Constrained Consensus Sequence Algorithm for DNA Archiving. - Francisco Carpio, Marc Michalke, Admela Jukan:
Engineering and Experimentally Benchmarking a Serverless Edge Computing System. - Chengze Wang, Zhiyu Jiang, Yuan Yuan:
Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention. - Piotr Gawlowicz, Anatolij Zubow, Falko Dressler:
Wi-Lo: Emulating LoRa using COTS WiFi. - Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Learning Runge-Kutta Integration Schemes for ODE Simulation and Identification. - Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang:
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis. - Lizhe Liu, Xiaohao Chen, Siyu Zhu, Ping Tan:
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution. - Zhuo Li, Jindian Liu, Liu Yan, Beichuan Zhang, Peng Luo, Kaihua Liu:
Smart Name Lookup for NDN Forwarding Plane via Neural Networks. - Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy:
Counterfactual Explanations for Neural Recommenders. - Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim, Mohammad Arif Ul Alam:
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision. - Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo, Song Wang:
Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer. - Chang-Shing Lee, Mei-Hui Wang, Zong-Han Ciou, Rin-Pin Chang, Chun-Hao Tsai, Shen-Chien Chen, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi:
Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application. - Shuang Li, Binhui Xie, Bin Zang, Chi Harold Liu, Xinjing Cheng, Ruigang Yang, Guoren Wang:
Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation. - Michael Barry, Claudio Gambella, Fabio Lorenzi, John Sheehan, Joern Ploennigs:
Optimal Seat Allocation Under Social Distancing Constraints. - Manash Pratim Das, Anirudh Vemula, Mayank Pathak, Sandip Aine, Maxim Likhachev:
Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs. - Carla Parra Escartín, Teresa Lynn, Joss Moorkens, Jane Dunne:
Towards transparency in NLP shared tasks. - Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu:
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. - Tiangang Li:
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum. - Zhongping Ji:
BikNN: Anomaly Estimation in Bilateral Domains with k-Nearest Neighbors. - Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. - Maryam Bajalan, Edgar Martínez-Moro, Steve Szabo:
A transform approach to polycyclic and serial codes over rings. - Yang Li, Ben Athiwaratkun, Cícero Nogueira dos Santos, Bing Xiang:
Joint Text and Label Generation for Spoken Language Understanding. - Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. - Karl Bringmann, Jasper Slusallek:
Current Algorithms for Detecting Subgraphs of Bounded Treewidth are Probably Optimal. - Ozge Mercanoglu Sincan, Júlio C. S. Jacques Júnior, Sergio Escalera, Hacer Yalim Keles:
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research. - Rishi Hazra, Sonu Dixit, Sayambhu Sen:
Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols. - Michael Feldmann, Andreas Padalkin, Christian Scheideler, Shlomi Dolev:
Accelerating Amoebots via Reconfigurable Circuits. - D. Kai Zhang, Alexander Carver:
The Impact of Incomplete Information on Network Formation with Heterogeneous Agents. - Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Peter Czerner, Roland Krumm, Madjid Fathi:
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design. - Tahseen Khan, Wenhong Tian, Rajkumar Buyya:
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions. - Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Pawel Skrzypek, Fabrizio Magugliani, Marco Cicala:
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. - Heejin Park, Felix Xiaozhu Lin:
TinyStack: A Minimal GPU Stack for Client ML. - Amine Mezghani, Daniel Plabst, A. Lee Swindlehurst, Inbar Fijalkow, Josef A. Nossek:
Sparse Linear Precoders for Mitigating Nonlinearities in Massive MIMO. - Lorenzo Natale, Giorgio Cannata:
Tactile Sensing. - Guangmiao Zeng, Wanneng Yu, Rongjie Wang, Anhui Lin:
Research on Mosaic Image Data Enhancement for Overlapping Ship Targets. - Arijit Gupta, Rajaswa Patil, Veeky Baths:
Using Diachronic Distributed Word Representations as Models of Lexical Development in Children. - Vu Tran, Gihan Jayatilaka, Ashwin Ashok, Archan Misra:
DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays. - Damiano Brunori, Stefania Colonnese, Francesca Cuomo, Luca Iocchi:
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems. - Shubham Singh, Ryan P. Russell, Patrick M. Wensing:
Efficient Analytical Derivatives of Rigid-Body Dynamics using Spatial Vector Algebra. - Antonio Nappa, Christopher Hobbs, Andrea Lanzi:
Deja-Vu: A Glimpse on Radioactive Soft-Error Consequences on Classical and Quantum Computations. - Rida Miraj, Masaki Aono:
Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection. - Juriaan van den Hurk, Mauro Salazar:
Energy-optimal Design and Control of Electric Vehicles' Transmissions. - Yihang Hu, Zhiyi Huang, Yiheng Shen, Xiangning Wang:
Targeting Makes Sample Efficiency in Auction Design. - Conor Smyth, Guoxin Wang, Rajesh C. Panicker, Avishek Nag, Barry Cardiff, Deepu John:
Continuous User Authentication using IoT Wearable Sensors. - Mutlu Ahmetoglu, Orhan Tahir Yavascan, Elif Uysal:
MiSTA: An Age-Optimized Sotted ALOHA Protocol. - Li Wang:
Towards a Model for LSH. - Simon Foster, Chung-Kil Hur, Jim Woodcock:
Formally Verified Simulations of State-Rich Processes using Interaction Trees in Isabelle/HOL. - Goran Muric, Yusong Wu, Emilio Ferrara:
COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies. - Rida Miraj, Masaki Aono:
kdehumor at semeval-2020 task 7: a neural network model for detecting funniness in dataset humicroedit. - Ao Liu, Lirong Xia:
The Smoothed Likelihood of Doctrinal Paradoxes. - Jonathan A. Noel, Mashbat Suzuki, Adrian Vetta:
Pirates in Wonderland: Liquid Democracy has Bicriteria Guarantees. - Boyuan Chen, Yuhang Hu, Robert Kwiatkowski, Shuran Song, Hod Lipson:
Visual Perspective Taking for Opponent Behavior Modeling. - Grischa Fraumann, Jennifer D'Souza, Kim Holmberg:
Eigenfactor. - Aruni Choudhary, Michael Kerber, Sharath Raghvendra:
Improved Approximate Rips Filtrations with Shifted Integer Lattices and Cubical Complexes. - Alessandro Brighente, Jafar Mohammadi, Paolo Baracca, Silvio Mandelli, Stefano Tomasin:
Interference Prediction for Low-Complexity Link Adaptation in Beyond 5G Ultra-Reliable Low-Latency Communications. - Pranshu Malviya, Balaraman Ravindran, Sarath Chandar:
TAG: Task-based Accumulated Gradients for Lifelong learning. - Yuandong Cyrus Liu, Chengbin Pang, Daniel Dietsch, Eric Koskinen, Ton-Chanh Le, Georgios Portokalidis, Jun Xu:
Source-Level Bitwise Branching for Temporal Verification of Lifted Binaries. - Saber Kazeminasab, M. Katherine Banks:
Towards Long-Distance Inspection for In-pipe Robots in Water Distribution Systems with Smart Navigation. - Anna Maria Mandalari, Daniel J. Dubois, Roman Kolcun, Muhammad Talha Paracha, Hamed Haddadi, David R. Choffnes:
Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic. - Koshi Shimada, Shota Saito, Toshiyasu Matsushima:
An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval. - Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. - Sasanka Sekhar Chanda:
Mandating Code Disclosure is Unnecessary - Strict Model Verification Does Not Require Accessing Original Computer Code. - Hayato Takahashi:
The explicit formula of the distributions of the nonoverlapping words and its applications to statistical tests for random numbers. - Mounir Bensalem, Jasenka Dizdarevic, Francisco Carpio, Admela Jukan:
The Role of Intent-Based Networking in ICT Supply Chains. - Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz:
On the Renyi Differential Privacy of the Shuffle Model. - Anthony LaTorre:
Factoring Multidimensional Data to Create a Sophisticated Bayes Classifier. - Yaohua Bu, Tianyi Ma, Weijun Li, Hang Zhou, Jia Jia, Shengqi Chen, Kaiyuan Xu, Dachuan Shi, Haozhe Wu, Zhihan Yang, Kun Li, Zhiyong Wu, Yuanchun Shi, Xiaobo Lu, Ziwei Liu:
PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback. - Ruben Becker, Michael Sagraloff, Vikram Sharma, Juan Xu, Chee Yap:
Complexity Analysis of Root Clustering for a Complex Polynomial. - Jens J. Hunhevicz, Mahshid Motie, Daniel M. Hall:
Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts. - Önder Eyecioglu, Batuhan Hangün, Korhan Kayisli, Mehmet Yesilbudak:
Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation. - Yizhou Wang, Gaoang Wang, Hung-Min Hsu, Hui Liu, Jenq-Neng Hwang:
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment. - Elazar Gershuni, Yuval Pinter:
Restoring Hebrew Diacritics Without a Dictionary. - Abdesslem Layeb:
Two novel feature selection algorithms based on crowding distance. - Isma Hadji, Konstantinos G. Derpanis, Allan D. Jepson:
Representation Learning via Global Temporal Alignment and Cycle-Consistency. - Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani:
Including Signed Languages in Natural Language Processing. - Sana Keita, Abdelaziz Beljadid, Yves Bourgault:
Implicit and semi-implicit second-order time stepping methods for the Richards equation. - Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles:
Home Action Genome: Cooperative Compositional Action Understanding. - Yu Guo:
Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base. - Huy Tuan Pham, Phan-Minh Nguyen:
Global Convergence of Three-layer Neural Networks in the Mean Field Regime. - Animesh Sakorikar, Lele Wang:
Variants on Block Design Based Gradient Codes for Adversarial Stragglers. - Prafulla Dhariwal, Alex Nichol:
Diffusion Models Beat GANs on Image Synthesis. - P. G. Madhavan:
Stochastic Formulation of Causal Digital Twin: Kalman Filter Algorithm. - Priyanka Kaswan, Melih Bastopcu, Sennur Ulukus:
Freshness Based Cache Updating in Parallel Relay Networks. - Jack Bandy, Nicholas Vincent:
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus. - Akhil Bhimaraju, Atul A. Zacharias, Avhishek Chatterjee:
Resource Allocation for Smooth Streaming: Non-convexity and Bandits. - Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu:
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective. - Samane Asgari, Shahram Jamali, Reza Fotohi, Mahdi Nooshyar:
Performance-aware placement and chaining scheme for virtualized network functions: a particle swarm optimization approach. - Muhammad Irfan Yousuf, Izza Anwer, Muhammad Abid:
An Empirical Study of Compression-friendly Community Detection Methods. - Federico López, Beatrice Pozzetti, Steve Trettel, Anna Wienhard:
Hermitian Symmetric Spaces for Graph Embeddings. - Ori Sztyglic, Vadim Indelman:
Online POMDP Planning via Simplification. - Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós:
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition. - Yao Feng, Vasileios Choutas, Timo Bolkart, Dimitrios Tzionas, Michael J. Black:
Collaborative Regression of Expressive Bodies using Moderation. - Charles Bodon:
Wittgenstein and Turing: Machines, Language games and Forms of life. - Mladjan Jovanovic, Aleksandar Jevremovic, Milica Pejovic-Milovancevic:
Intelligent interactive technologies for mental health and well-being. - Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu:
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve. - Dan Andrei Ganea, Bas Boom, Ronald Poppe:
Incremental Few-Shot Instance Segmentation. - Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering. - Sajjad Bahrami, Ertem Tuncel:
Trimmed Minimum Error Entropy for Robust Online Regression. - Kevin Hogan, Annabelle Baer, James Purtilo:
Diplomat: A conversational agent framework for goal-oriented group discussion. - Victor Paduani, Hui Yu, Bei Xu, Ning Lu:
A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities. - Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. - Jack Dunn, Luca Mingardi, Ying Daisy Zhuo:
Comparing interpretability and explainability for feature selection. - Md. Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, Pascal Hitzler:
Neuro-Symbolic Artificial Intelligence: Current Trends. - Ryan Szeto, Jason J. Corso:
The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting. - A. K. M. Bahalul Haque, Md. Rifat Hasan, Md. Oahiduzzaman Mondol Zihad:
SmartOil: Blockchain and smart contract-based oil supply chain management. - Panagiotis Kourtesis, Ferran Argelaguet, Sebastian Vizcay, Maud Marchal, Claudio Pacchierotti:
Electrotactile feedback for hand interactions: A systematic review, meta-analysis, and future directions. - Jacob Carse, Frank A. Carey, Stephen J. McKenna:
Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding. - Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa:
Return-based Scaling: Yet Another Normalisation Trick for Deep RL. - Xiangyu Chen, Guanghui Wang:
Few-Shot Learning by Integrating Spatial and Frequency Representation. - Elad Romanov, Or Ordentlich:
On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel. - Rafael Bailo, José A. Carrillo, Serafim Kalliadasis, Sergio P. Perez:
Unconditional bound-preserving and energy-dissipating finite-volume schemes for the Cahn-Hilliard equation. - Xi Li, Meng Cao, Yingying Tang, Scott Johnston, Zhendong Hong, Huimin Ma, Jiulong Shan:
Video Frame Interpolation via Structure-Motion based Iterative Fusion. - Jimeng Shi, Cheng-Xian Lin:
Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors. - Philippe Laban, Andrew Hsi, John F. Canny, Marti A. Hearst:
The Summary Loop: Learning to Write Abstractive Summaries Without Examples. - Allen Alvarez Loya, Daniel Appelö:
A Hermite Method with a Discontinuity Sensor for Hamilton-Jacobi Equations. - Jingjin Yu:
Rearrangement on Lattices with Pick-n-Swaps: Optimality Structures and Efficient Algorithms. - David Eppstein:
A Stronger Lower Bound on Parametric Minimum Spanning Trees. - Wei Xu:
Maximizing the Value of Enterprise Human-Computer Interaction Standards: Strategies and Applications. - Mustafa O. Karabag, Melkior Ornik, Ufuk Topcu:
Identity Concealment Games: How I Learned to Stop Revealing and Love the Coincidences. - Tienan Li, Danjue Chen, Hao Zhou, Jorge A. Laval, Yuanchang Xie:
Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence. - Shahbaz Rezaei, Zubair Shafiq, Xin Liu:
Accuracy-Privacy Trade-off in Deep Ensembles. - Jingwei Chen, Yong Feng, Yang Liu, Wenyuan Wu:
On the probability of generating a primitive matrix. - Tianxue Hu, Claire Arthur:
A Statistical Model for Melody Reduction. - Binh Nguyen, Atsuhiro Takasu:
Co-Factorization Model for Collaborative Filtering with Session-based Data. - Philippe Laban, Lucas Bandarkar, Marti A. Hearst:
News Headline Grouping as a Challenging NLU Task. - Philippe Laban, John F. Canny, Marti A. Hearst:
What's The Latest? A Question-driven News Chatbot. - Marios Papamichalis, Abhishek Ray, Ilias Bilionis, Karthik N. Kannan, Rajiv Krishnamurthy:
Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known. - Harishankar Vishwanathan, Matan Shachnai, Srinivas Narayana, Santosh Nagarakatte:
Semantics, Verification, and Efficient Implementations for Tristate Numbers. - Jimmy Aronsson:
Homogeneous vector bundles and G-equivariant convolutional neural networks. - Longfei Li, Hangjie Ji, Qi Tang:
Stable finite difference methods for Kirchhoff-Love plates on overlapping grids. - Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei:
Structure Guided Lane Detection. - Gabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinskü:
Parthenos: A Source Code Injection Approach for Software Transformation. - David Doty, Mahsa Eftekhari:
A survey of size counting in population protocols. - Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. - Yiran Wang, Eric T. Chung, Shubin Fu:
A local-global generalized multiscale finite element method for highly heterogeneous stochastic groundwater flow problems. - Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. - Yi Lei, Bin Chen, Gabriele Liga, Alex Alvarado:
On Parameter Optimization and Reach Enhancement for the Improved Soft-Aided Staircase Decoder. - Emma Chollet, Bryce Clarke, Michael Johnson, Maurine Songa, Vincent Wang, Gioele Zardini:
Limits and Colimits in a Category of Lenses. 164-177 - Wei Xu, Marvin J. Dainoff, Liezhong Ge, Zaifeng Gao:
From Human-Computer Interaction to Human-AI Interaction: New Challenges and Opportunities for Enabling Human-Centered AI. - Silvano Colombo Tosatto, Guido Governatori, Nick van Beest:
Proving Regulatory Compliance: A Computational Complexity Analysis of Elementary Variants. - Lai Wei, Ryan McCloy, Jie Bao:
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks. - Hexiong Li, Xin Jiang, Guanying Huo, Cheng Su, Bolun Wang, Yifei Hu, Zhiming Zheng:
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints. - Haoyang Liu, Maria Janina Sarol, Halil Kilicoglu:
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions. - Maximilian Arnold, Frank Schaich:
Indoor positioning systems: Smart fusion of a variety of sensor readings. - Wei Dong, Ke Yi:
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries. - Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang:
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. - Samala Rathan, Deepit Shah:
Construction and comparative study of Euler method with adaptive IQ and IMQ-RBFs. - Majid Mohammadi, Amir Ahooye Atashin, Damian A. Tamburri:
An efficient projection neural network for $\ell_1$-regularized logistic regression. - Wei Ren:
Razumikhin-type Control Lyapunov and Barrier Functions for Time-Delay Systems. - Darja Smite, Marius Mikalsen, Nils Brede Moe, Viktoria Stray, Eriks Klotins:
From Collaboration to Solitude and Back: Remote Pair Programming during COVID-19. - Chuang Yang, Mulin Chen, Yuan Yuan, Qi Wang:
MT: Multi-Perspective Feature Learning Network for Scene Text Detection. - Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür:
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks. - Xiaolu Wang, Yuen-Man Pun, Anthony Man-Cho So:
Learning Graphs from Smooth Signals under Moment Uncertainty. - Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik, Mark Staples:
A Systematic Literature Review on Blockchain Governance. - Sarthak Bhagat, P. B. Sujit:
Target-Following Double Deep Q-Networks for UAVs. - Chenyang Xi, Bo Tang, Jiajun Shen, Xinfu Liu, Feiyu Xiong, Xueying Li:
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective. - Ansgar Jüngel, Antoine Zurek:
A discrete boundedness-by-entropy method for finite-volume approximations of cross-diffusion systems. - Wagner Gonçalves Pinto, Antonio Alguacil, Michael Bauerheim:
On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems. - Zhihao Li, Zhenglong Sun, Jionglong Su, Jiaming Zhang:
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks. - Tong-Xing Zheng, Ziteng Yang, Chao Wang, Zan Li, Jinhong Yuan, Xiaohong Guan:
Wireless Covert Communications Aided by Distributed Cooperative Jamming over Slow Fading Channels. - Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, Tal Hassner:
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text. - Alexander Lozovskiy, Maxim A. Olshanskii, Yuri V. Vassilevski:
A monolithic fluid-porous structure interaction finite element method. - Muhammad Ashfaq, Rubing Huang, Dave Towey, Michael Omari, Dmitry A. Yashunin, Patrick Kwaku Kudjo, Tao Zhang:
SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs. - Steve Benford, Paul Mansfield, Jocelyn Spence:
Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic. - Mahathi Anand, Vishnu Murali, Ashutosh Trivedi, Majid Zamani:
Formal Verification of Control Systems against Hyperproperties via Barrier Certificates. - Aritra Bhowmick, Meenakshi D'Souza, G. Srinivasa Raghavan:
LipBaB: Computing exact Lipschitz constant of ReLU networks. - Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise. - Fan Yang, Guosheng Lin:
CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes. - Gyubok Lee, Seongjun Yang, Edward Choi:
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. - Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Networks. - Britta Grusdt, Daniel Lassiter, Michael Franke:
Probabilistic modelling of rational communication with conditionals. - Oshan Mudannayake, Nalin Ranasinghe:
kMatrix: A Space Efficient Streaming Graph Summarization Technique. - Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. - Jennifer Bellizzi, Mark Vella, Christian Colombo, Julio C. Hernandez-Castro:
Responding to Living-Off-the-Land Tactics using Just-in-Time Memory Forensics (JIT-MF) for Android. - Polychronis Charitidis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Operation-wise Attention Network for Tampering Localization Fusion. - Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. - Nicky Williams:
Towards exhaustive branch coverage with PathCrawler. - Matthew A. Price, Jason D. McEwen:
Bayesian variational regularization on the ball. - Florian Obermüller, Ute Heuer, Gordon Fraser:
Guiding Next-Step Hint Generation Using Automated Tests. - Deng Li, Yue Wu, Yicong Zhou:
SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization. - Chun Liu, Xuexian Hu, Xiaofeng Chen, Jianghong Wei, Wenfen Liu:
An Efficient Matrix Multiplication with Enhanced Privacy Protection in Cloud Computing and Its Applications. - Athanasios Lagopoulos, Grigorios Tsoumakas:
Self-citation Analysis using Sentence Embeddings. - Adrian Cosma, Ion Emilian Radoi:
WildGait: Learning Gait Representations from Raw Surveillance Streams. - Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. - Heng Xu, Yue Sun, Yangyang Zhu, Xiaohu Wang, Guoxuan Qin:
Statistical Temperature Coefficient Distribution in Analog RRAM Array: Impact on Neuromorphic System and Mitigation Method. - Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi:
OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. - Robin Thibaut, Eric Laloy, Thomas Hermans:
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area. - Xiangyu Chen, Min Ye:
Cyclically Equivariant Neural Decoders for Cyclic Codes. - Shanya Sharma, Manan Dey, Koustuv Sinha:
Evaluating Gender Bias in Natural Language Inference. - Khalid Al-Najjar, Mika Hämäläinen:
!Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline. - Albert Cohen, Matthieu Dolbeault:
Optimal pointwise sampling for L2 approximation. - Thomas Sutter, Kevin Lapagna, Peter Berlich, Marc Rennhard, Fabio Germann:
Web Content Signing with Service Workers. - Guy Hacohen, Daphna Weinshall:
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias. - Yu Cheng, Honghao Lin:
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time. - Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer:
Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization. - Hans Weytjens, Jochen De Weerdt:
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. - Yuanjie Li, Hewu Li, Lixin Liu, Wei Liu, Jiayi Liu, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai, Guojie Fan:
Fractal Rosette: A Stable Space-Ground Network Structure in Mega-Constellation. - Yuan Cheng, Yanbo Xue:
Looking at CTR Prediction Again: Is Attention All You Need? - Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis, Athina P. Petropulu:
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks. - Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf:
"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants. - Alkida Balliu, Keren Censor-Hillel, Yannic Maus, Dennis Olivetti, Jukka Suomela:
Locally Checkable Labelings with Small Messages. - Yannic Maus:
Distributed Graph Coloring Made Easy. - Bertrand Higy, Lieke Gelderloos, Afra Alishahi, Grzegorz Chrupala:
Discrete representations in neural models of spoken language. - Gennaro Notomista, Siddharth Mayya, Yousef Emam, Christopher M. Kroninger, Addison W. Bohannon, Seth Hutchinson, Magnus Egerstedt:
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems. - Jorge Echavarria, Stefan Wildermann, Oliver Keszöcze, Faramarz Khosravi, Andreas Becher, Jürgen Teich:
On the Approximation of Accuracy-configurable Sequential Multipliers via Segmented Carry Chains. - Saba Gholizadeh Ansari, I. S. W. B. Prasetya, Mehdi Dastani, Frank Dignum, Gabriele Keller:
An Appraisal Transition System for Event-driven Emotions in Agent-based Player Experience Testing. - Jan Staschulat, Ralph Lange, Dakshina Narahari Dasari:
Budget-based real-time Executor for Micro-ROS. - Shimon Ullman, Liav Assif, Alona Strugatski, Ben Zion Vatashsky, Hila Levy, Aviv Netanyahu, Adam Yaari:
Image interpretation by iterative bottom-up top-down processing. - Kashif Mehmood, H. V. Kalpanie Mendis, Katina Kralevska, Poul E. Heegaard:
Intent-based Network Management and Orchestration for Smart Distribution Grids. - Hilde J. P. Weerts:
An Introduction to Algorithmic Fairness. - Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng:
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. - Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion. - DongHyun Choi, Myeongcheol Shin, EungGyun Kim, Dong Ryeol Shin:
OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack. - Jyotish Robin, Elza Erkip:
Capacity Bounds and User Identification Costs in Rayleigh-Fading Many-Access Channel. - Rúben Cardoso, Afonso Mendes, Andre Lamurias:
Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task. - Sami Barchid, José Mennesson, Chaabane Djeraba:
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning. - Ayse Ünsal, Melek Önen:
A Statistical Threshold for Adversarial Classification in Laplace Mechanisms. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
Multi-Access Coded Caching with Secure Delivery. - Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel:
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. - Rúben Cardoso, Zita Marinho, Afonso Mendes, Sebastião Miranda:
Priberam at MESINESP Multi-label Classification of Medical Texts Task. - Xin Cheng, Yan Lin, Weiping Shi, Jiayu Li, Cunhua Pan, Feng Shu, Yongpeng Wu, Jiangzhou Wang:
Global Optimization for IRS-Assisted Wireless Communications: from Physics and Electromagnetic Perspectives. - Pradip Swarnakar, Ashutosh Modi:
NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action. - Aidan J. Hughes, Lawrence A. Bull, Paul Gardner, Robert James Barthorpe, Nikolaos Dervilis, Keith Worden:
On risk-based active learning for structural health monitoring. - James J. Cusick:
Turning the Tables: The View from Offshore During 60 Days in JST. - Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani:
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization. - Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid:
Segmenter: Transformer for Semantic Segmentation. - Wenbo Ma, Long Chen, Hanwang Zhang, Jian Shao, Yueting Zhuang, Jun Xiao:
VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching. - Johannes Bamme, Ivo F. Sbalzarini:
A Mathematical Definition of Particle Methods. - Xingyang Ni, Esa Rahtu:
FlipReID: Closing the Gap between Training and Inference in Person Re-Identification. - Jiayi Lin, Yan Huang, Liang Wang:
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution. - Vamsi Aribandi, Yi Tay, Donald Metzler:
How Reliable are Model Diagnostics? - Yang Xiao, Yuming Du, Renaud Marlet:
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning. - Arash Jalilian, Ali Abdi, Gholamreza Hojjati:
Variable stepsize SDIMSIMs for ordinary differential equations. - Joakim Blikstad:
Breaking O(nr) for Matroid Intersection. - Ismo Horppu, Antti Nikander, Elif Buyukcan, Jere Mäkiniemi, Amin Sorkhei, Frederick Ayala-Gómez:
Automatic Classification of Games using Support Vector Machine. - Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. - Florian Ingels, Romain Azaïs:
Isomorphic unordered labeled trees up to substitution ciphering. - Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto A. Lotufo, Rodrigo Nogueira:
Yes, BM25 is a Strong Baseline for Legal Case Retrieval. - Juntao Huang, Yingda Cheng, Andrew J. Christlieb, Luke F. Roberts:
Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure. - Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams:
Automating Data Science: Prospects and Challenges. - Dong Chen, Zhaojian Li, Yongqiang Wang, Longsheng Jiang, Yue Wang:
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic. - Walid Hariri, Nadir Farah, Dinesh Kumar Vishwakarma:
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition. - Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero:
Multi-Field Models in Neural Recipe Ranking - An Early Exploratory Study. - Shradha Agrawal, Shankar Venkitachalam, Dhanya Raghu, Deepak Pai:
Directional GAN: A Novel Conditioning Strategy for Generative Networks. - Matthew Hutson:
Representation in Dynamical Systems. - Adrian Remonda, Eduardo E. Veas, Granit Luzhnica:
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning. - Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi:
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization. - Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi:
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. - Jiehua Chen, Adrian Chmurovic, Fabian Jogl, Manuel Sorge:
On (Coalitional) Exchange-Stable Matching. - Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu:
BertGCN: Transductive Text Classification by Combining GCN and BERT. - Matthias Hüser, Martin Faltys, Xinrui Lyu, Chris Barber, Stephanie L. Hyland, Tobias M. Merz, Gunnar Rätsch:
Early prediction of respiratory failure in the intensive care unit. - Mladjan Jovanovic, Antonella De Angeli, Andrew R. McNeill, Lynne M. Coventry:
User requirements for inclusive technology for older adults. - Mariano Beguerisse-Díaz, Dimitrios Korkinof, Till Hoffmann:
Thematic recommendations on knowledge graphs using multilayer networks. - Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach:
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. - Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park:
Autoencoding Under Normalization Constraints. - Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces. - Zili Zhou, Marco Valentino, Donal Landers, André Freitas:
Encoding Explanatory Knowledge for Zero-shot Science Question Answering. - Tamara Kogan, Luba Sapir, Amir Sapir, Eytan Sapir:
Iterative process of order 2 without inverting the derivative. - Juan A. Barceló, Carlos Castro:
Numerical approximation of the scattering amplitude in elasticity. - Sandipan Basu, Aravind Gaddala, Pooja Chetan, Garima Tiwari, Narayana Darapaneni, Sadwik Parvathaneni, Anwesh Reddy Paduri:
Building a Question and Answer System for News Domain. - Benjamin Rodatz, Razin A. Shaikh, Lia Yeh:
Conversational Negation using Worldly Context in Compositional Distributional Semantics. - (Withdrawn) Prevention Of Attack In Vehicular Adhoc Network Using Trust Model.
- Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. - Thomas Goerttler, Klaus Obermayer:
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. - M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Ivan Robert Nabi, François Jean, Maxwell W. Libbrecht, Ghassan Hamarneh:
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning. - Alexandr Andoni, David Cheikhi:
From Average Embeddings To Nearest Neighbor Search. - Andrea Fronzetti Colladon:
Forecasting election results by studying brand importance in online news. - Gaetano Geck, Christine Quenkert, Marko Schmellenkamp, Jonas Schmidt, Felix Tschirbs, Fabian Vehlken, Thomas Zeume:
Iltis: Teaching Logic in the Web. - Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz:
Fairness and Discrimination in Information Access Systems. - Andrea Fronzetti Colladon:
The Semantic Brand Score. - Raghavendra Addanki, Sainyam Galhotra, Barna Saha:
How to Design Robust Algorithms using Noisy Comparison Oracle. - Jakob Keller, Christian Rieck, Christian Scheffer, Arne Schmidt:
Particle-Based Assembly Using Precise Global Control. - Ionut Mironica, Andrei Zugravu:
A Fast Deep Learning Network for Automatic Image Auto-Straightening. - Murali Krishnan K. H., Jagadeesh Harshan:
XOR-Based Codes for Private Information Retrieval with Private Side Information. - Andrey Zhitnikov, Vadim Indelman:
Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty. - Caleb Belth, Sarah R. B. Payne, Deniz Beser, Jordan Kodner, Charles Yang:
The Greedy and Recursive Search for Morphological Productivity. - Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii:
Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms. - Andrea Fronzetti Colladon, Elisa Remondi:
Using social network analysis to prevent money laundering. - Tiago Roxo, Hugo Proença:
Is Gender "In-the-Wild" Inference Really a Solved Problem? - Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. - Sunjay Cauligi, Craig Disselkoen, Daniel Moghimi, Gilles Barthe, Deian Stefan:
SoK: Practical Foundations for Spectre Defenses. - Valentina Morandi:
Bridging the user equilibrium and the system optimum in static traffic assignment: how the cooperation among drivers can solve the congestion problem in city networks. - Romain Camilleri, Julian Katz-Samuels, Kevin G. Jamieson:
High-Dimensional Experimental Design and Kernel Bandits. - Zhusheng Wang, Sennur Ulukus:
Symmetric Private Information Retrieval with User-Side Common Randomness. - Feng Wang, Mustafa Cenk Gursoy, Senem Velipasalar:
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control. - Ayush Bhandari, Felix Krahmer, Thomas Poskitt:
Unlimited Sampling from Theory to Practice: Fourier-Prony Recovery and Prototype ADC. - Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Computer Architecture Simulation using Machine Learning. - Wolfgang Dahmen, Rob P. Stevenson, Jan Westerdiep:
Accuracy controlled data assimilation for parabolic problems. - Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie:
When Does Contrastive Visual Representation Learning Work? - Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu:
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. - Marcelo Forets, Daniel Freire Caporale, Jorge M. Pérez Zerpa:
Combining Set Propagation with Finite Element Methods for Time Integration in Transient Solid Mechanics Problems. - Vadim Sushko, Juergen Gall, Anna Khoreva:
Learning to Generate Novel Scene Compositions from Single Images and Videos. - Natalia Kopteva:
Pointwise-in-time a posteriori error control for time-fractional parabolic equations. - Sean Kross, Philip J. Guo:
Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia. - Roberto Bigazzi, Federico Landi, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara:
Out of the Box: Embodied Navigation in the Real World. - Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon:
Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps. - Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen:
A Graph Neural Network Approach for Product Relationship Prediction. - Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. - Divya Koyyalagunta, Anna Y. Sun, Rachel Lea Draelos, Cynthia Rudin:
Playing Codenames with Language Graphs and Word Embeddings. - Alexander Robertson, Walid Magdy, Sharon Goldwater:
Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji. - Kimmo Kärkkäinen, Shayan Fazeli, Majid Sarrafzadeh:
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models. - Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt:
A function approximation approach to the prediction of blood glucose levels. - Dania Humaidan, Sebastian Otte, Christian Gumbsch, Charley M. Wu, Martin V. Butz:
Latent Event-Predictive Encodings through Counterfactual Regularization. - Samuele Pino, Mark James Carman, Paolo Bestagini:
What's wrong with this video? Comparing Explainers for Deepfake Detection. - Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares:
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters. - Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. - Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh:
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. - Ting-Yun Chang, Yang Liu, Karthik Gopalakrishnan, Behnam Hedayatnia, Pei Zhou, Dilek Hakkani-Tür:
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social Commonsense. - Boxiang Liu, Jiaji Huang, Xingyu Cai, Kenneth Church:
Better than BERT but Worse than Baseline. - Huan Wang, Can Qin, Yue Bai, Yun Fu:
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. - Mustapha Hamad, Michèle A. Wigger, Mireille Sarkiss:
Two-Hop Network with Multiple Decision Centers under Expected-Rate Constraints. - Leah Epstein:
Open-end bin packing: new and old analysis approaches. - Xun Guan, Wei Shi, Jia Liu, Peng Tan, Jim Slevinsky, Leslie A. Rusch:
Silicon Photonics in Optical Access Networks for 5G Communications. - Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor:
Semantic Diversity Learning for Zero-Shot Multi-label Classification. - Megan Squire:
Monetizing Propaganda: How Far-right Extremists Earn Money by Video Streaming. - Marcus Carpenter, Chunbo Luo, Xiao-Si Wang:
The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example. - Vladimir Vakhter, Betul Soysal, Patrick Schaumont, Ulkuhan Guler:
Security for Emerging Miniaturized Wireless Biomedical Devices: Threat Modeling with Application to Case Studies. - V. N. Aditya Datta Chivukula, Rupaj Kumar Nayak:
The impact of the additional features on the performance of regression analysis: a case study on regression analysis of music signal. - Yuanzhe Jin, Ziheng Dong, Xing Li:
Tomen: Application of Bitcoin Transaction Based on Tor. - Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke:
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. - Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah:
Composing Modeling and Simulation with Machine Learning in Julia. - Anne Broadbent, Martti Karvonen:
Categorical composable cryptography. - Amin Mahmoudi:
Identifying Biased Users in Online Social Networks to Enhance the Accuracy of Sentiment Analysis: A User Behavior-Based Approach. - Christian Bueno, Kristina Collins, Alan Hylton, Robert Short:
A Geometric Approach to the Kinematics of the Canfield Joint. - Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. - Robert A. Barton, Tal Neiman, Changhe Yuan:
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution. - Pedro Antonino, Wojciech Aleksander Woloszyn, A. W. Roscoe:
Guardian: symbolic validation of orderliness in SGX enclaves. - Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman:
Connecting What to Say With Where to Look by Modeling Human Attention Traces. - Péter Gács:
A new version of Toom's proof. - Blazej Dolicki, Gerasimos Spanakis:
Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer. - Vedang M. Deshpande, Raktim Bhattacharya, Kamesh Subbarao:
Sensor Placement with Optimal Precision for Temperature Estimation of Battery Systems. - Alex Kuznetsov, Hector Urdiales:
Spelling Correction with Denoising Transformer. - Arthur Marques, Giovanni Viviani, Gail C. Murphy:
Assessing Semantic Frames to Support Program Comprehension Activities. - Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista:
An Open-Source Tool for Classification Models in Resource-Constrained Hardware. - Karl Bringmann, Nick Fischer, Vasileios Nakos:
Sparse Nonnegative Convolution Is Equivalent to Dense Nonnegative Convolution. - Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai:
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet. - Niclas Boehmer, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, Malte Renken:
Two Influence Maximization Games on Graphs Made Temporal. - Wolfgang Stummer:
Optimal transport with some directed distances. - Wen Zhou, Seohyun Kim, Vijayaraghavan Murali, Gareth Ari Aye:
Improving Code Autocompletion with Transfer Learning. - Chaoyang Wang, Ben Eckart, Simon Lucey, Orazio Gallo:
Neural Trajectory Fields for Dynamic Novel View Synthesis. - Tharindu Ranasinghe, Marcos Zampieri:
Multilingual Offensive Language Identification for Low-resource Languages. - Niraj Rathod, Angelo Bratta, Michele Focchi, Mario Zanon, Octavio Villarreal, Claudio Semini, Alberto Bemporad:
Mobility-enhanced MPC for Legged Locomotion on Rough Terrain. - James Pustejovsky, Eben Holderness, Jingxuan Tu, Parker Glenn, Kyeongmin Rim, Kelley Lynch, Richard Brutti:
Designing Multimodal Datasets for NLP Challenges. - Niku Gorji, Sasha Rubin:
Sufficient reasons for classifier decisions in the presence of constraints. - Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight compression of neural network feature tensors for collaborative intelligence. - Debarnab Mitra, Lev Tauz, Lara Dolecek:
Communication-Efficient LDPC Code Design for Data Availability Oracle in Side Blockchains. - Charlott Vallon, Francesco Borrelli:
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments. - Hanrui Zhang, Vincent Conitzer:
Automated Dynamic Mechanism Design. - Franck Cassez:
Verification of the Incremental Merkle Tree Algorithm with Dafny. - Waseem Abbas, Mudassir Shabbir, Yasin Yazicioglu, Xenofon D. Koutsoukos:
Edge Augmentation with Controllability Constraints in Directed Laplacian Networks. - Yi Xu, Qi Qian, Hao Li, Rong Jin:
Why Does Multi-Epoch Training Help? - Adriano Augusto, Marlon Dumas, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. - Bin Liu:
Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective. - Ruiqi Zhong, Dhruba Ghosh, Dan Klein, Jacob Steinhardt:
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level. - Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Jian Zhang, Min Lin, Jian Ouyang, Wei-Ping Zhu, Tomaso de Cola:
Robust Beamforming for Enhancing Security in Multibeam Satellite Systems. - Siva Somayyajula, Frank Pfenning:
Circular Proofs as Processes: Type-Based Termination via Arithmetic Refinements. - Von Ralph Dane Marquez Herbuela, Tomonori Karita, Yoshiya Furukawa, Yoshinori Wada, Yoshihiro Yagi, Shuichiro Senba, Eiko Onishi, Tatsuo Saeki:
Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID. - Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller:
Towards Human-Free Automatic Quality Evaluation of German Summarization. - Ming Yin, Yu-Xiang Wang:
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings. - Dieyan Liang, Hong Shen:
Changeable Sweep Coverage Problem. - Nilesh Pandey, Andreas E. Savakis:
Extreme Face Inpainting with Sketch-Guided Conditional GAN. - Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu:
GIPA: General Information Propagation Algorithm for Graph Learning. - Minje Choi, Ceren Budak, Daniel M. Romero, David Jurgens:
More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks. - Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang:
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. - Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. - Wesley dos Reis Bezerra, Fernando Luiz Koch, Carlos Becker Westphall:
Models of Computing as a Service and IoT: an analysis of the current scenario with applications using LPWAN. - Zidu Wang, Xuexin Liu, Long Huang, Yunqing Chen, Yufei Zhang, Zhikang Lin, Rui Wang:
Model Pruning Based on Quantified Similarity of Feature Maps. - Bin Hu, Hamid Gharavi:
A Hybrid Wired/Wireless Deterministic Network for Smart Grid. - Siavash Jafarzadeh, Farzaneh Mousavi, Adam Larios, Florin Bobaru:
A general and fast convolution-based method for peridynamics: applications to elasticity and brittle fracture. - Rubing Huang, Chenhui Cui, Dave Towey, Weifeng Sun, Junlong Lian:
VPPS-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning Strategy. - Sainyam Galhotra, Anna Fariha, Raoni Lourenço, Juliana Freire, Alexandra Meliou, Divesh Srivastava:
DataExposer: Exposing Disconnect between Data and Systems. - Sina Jandaghi Semnani, Hoormazd Rezaei:
House Price Prediction using Satellite Imagery. - Zishuo Li, Yilin Mo:
Low Complexity Secure State Estimation Design for Linear System with Non-derogatory A. - Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. - Keren Censor-Hillel, Dean Leitersdorf, Volodymyr Polosukhin:
On Sparsity Awareness in Distributed Computations. - Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang:
GAN Prior Embedded Network for Blind Face Restoration in the Wild. - Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. - Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans:
Leveraging Non-uniformity in First-order Non-convex Optimization. - Joachim Neu, Ertem Nusret Tas, David Tse:
The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets. - Juan Pablo Borthagaray, Wenbo Li, Ricardo H. Nochetto:
Finite element algorithms for nonlocal minimal graphs. - Sam Estep, Jenna Wise, Jonathan Aldrich, Éric Tanter, Johannes Bader, Joshua Sunshine:
Gradual Program Analysis for Null Pointers. - Zipeng Wang, Li Tan, Haifan Yin, Kai Wang, Xilong Pei, David Gesbert:
A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations. - Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. - Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Learning symbol relation tree for online mathematical expression recognition. - Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh:
Superevents: Towards Native Semantic Segmentation for Event-based Cameras. - Panayiotis Moutis, Pavlos S. Georgilakis, Nikos D. Hatziargyriou:
Voltage Regulation Support Along a Distribution Line by a Virtual Power Plant Based on a Center of Mass Load Modeling. - Panayiotis Moutis, Spyros Skarvelis-Kazakos, Maria Brucoli:
Decision tree aided planning and energy balancing of planned community microgrids. - Yuval Marton, Asad B. Sayeed:
Thematic fit bits: Annotation quality and quantity for event participant representation. - Prasanna Venkatesan E, Kristen Titus W:
Trusted Authentication using hybrid security algorithm in VANET. - Xinyuan Qian, Maulik C. Madhavi, Zexu Pan, Jiadong Wang, Haizhou Li:
Multi-target DoA Estimation with an Audio-visual Fusion Mechanism. - Kishor Datta Gupta, Dipankar Dasgupta:
Negative Selection Algorithm Research and Applications in the last decade: A Review. - Sangyup Lee, Shahroz Tariq, Junyaup Kim, Simon S. Woo:
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning. - Ki Myung Brian Lee, Felix H. Kong, Ricardo Cannizzaro, Jennifer L. Palmer, David Johnson, Chanyeol Yoo, Robert Fitch:
An Upper Confidence Bound for Simultaneous Exploration and Exploitation in Heterogeneous Multi-Robot Systems. - Ki Myung Brian Lee, Chanyeol Yoo, Robert Fitch:
Signal Temporal Logic Synthesis as Probabilistic Inference. - Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
High-level Intellectual Property Obfuscation via Decoy Constants. - Amogh Johri, Arti D. Yardi, Tejas Bodas:
Approximate Gradient Coding for Heterogeneous Nodes. - Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Distilled Smooth Guidance. - Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet:
Value-at-Risk Optimization with Gaussian Processes. - Aaditya Singh, Shreeshail Hingane, Xinyu Gong, Zhangyang Wang:
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization. - Junqiang Peng, Mingyu Xiao:
A Fast Algorithm for SAT in Terms of Formula Length. - Hui Wang, Mike Preuss, Aske Plaat:
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning. - Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen:
Unsupervised Hashing with Contrastive Information Bottleneck. - Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Xiangyong Lu, Tin Lun Lam:
Boosting Light-Weight Depth Estimation Via Knowledge Distillation. - Xiaojun Dong, Yan Gu, Yihan Sun, Yunming Zhang:
Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths. - Jiate Luo, Yin Tong, Graziana Cavone, Mariagrazia Dotoli:
A Service-oriented Metro Traffic Regulation Method for Improving Operation Performance. - Athanasios Kehagias, A. C. Papazoglou:
An Algorithm for Limited Visibility Graph Searching. - Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo:
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks. - Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu:
Relation-aware Hierarchical Attention Framework for Video Question Answering. - Lev Tauz, Lara Dolecek:
Variable Coded Batch Matrix Multiplication. - Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini:
PassFlow: Guessing Passwords with Generative Flows. - Raphaël Clifford, Pawel Gawrychowski, Tomasz Kociumaka, Daniel P. Martin, Przemyslaw Uznanski:
The Dynamic k-Mismatch Problem. - Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter:
HeunNet: Extending ResNet using Heun's Methods. - Christoph Erath, Lorenzo Mascotto, Jens Markus Melenk, Ilaria Perugia, Alexander Rieder:
Mortar coupling of hp-discontinuous Galerkin and boundary element methods for the Helmholtz equation. - Manasi Tiwari, Sathish Vadhiyar:
Efficient executions of Pipelined Conjugate Gradient Method on Heterogeneous Architectures. - Etienne David, Franklin Ogidi, Wei Guo, Frédéric Baret, Ian Stavness:
Global Wheat Challenge 2020: Analysis of the competition design and winning models. - Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii:
Adaptive Test-Time Augmentation for Low-Power CPU. - Nicolas Behr, Joachim Kock:
Tracelet Hopf algebras and decomposition spaces. 323-337 - Michael Peleg, Tomer Michaeli, Shlomo Shamai:
On information rates over a binary input channel. - Xiaofei Li, Zhong Dong:
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks. - Nick Bezhanishvili, Vincenzo Ciancia, David Gabelaia, Gianluca Grilletti, Diego Latella, Mieke Massink:
Geometric Model Checking of Continuous Space. - Yunnuo Xu, Yijie Mao, Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access with Finite Blocklength for Short-Packet and Low-Latency Downlink Communications. - Rony Bou Rouphael, Maël Le Treust:
Strategic Successive Refinement Coding for Bayesian Persuasion with Two Decoders. - Agi Kurucz, Vladislav Ryzhikov, Yury Savateev, Michael Zakharyaschev:
Deciding FO-definability of Regular Languages. - Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu:
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. - Kartheek Kumar Reddy Nareddy, Mani Madhoolika Bulusu, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Quantized Proximal Averaging Network for Analysis Sparse Coding. - Bojan Evkoski, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak:
Community evolution in retweet networks. - Andrew Broekman, Linda Marshall:
Linguistic Inspired Graph Analysis. - Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. - Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu:
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations. - Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu:
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. - Zhendong Li, Wen Chen, Qingqing Wu, Huanqing Cao, Kunlun Wang, Jun Li:
Robust Beamforming Design and Time Allocation for IRS-assisted Wireless Powered Communication Networks. - Zhiwei Xu, Yunpeng Bai, Dapeng Li, Bin Zhang, Guoliang Fan:
SIDE: I Infer the State I Want to Learn. - Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan:
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. - Yan Xu, Etsuko Ishii, Zihan Liu, Genta Indra Winata, Dan Su, Andrea Madotto, Pascale Fung:
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters. - David Heckerman, Dan Geiger:
Likelihoods and Parameter Priors for Bayesian Networks. - Cole Comfort, Aleks Kissinger:
A Graphical Calculus for Lagrangian Relations. 338-351 - Adam Lindhe, Carl Ringqvist, Henrik Hult:
Variational Auto Encoder Gradient Clustering. - Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. - Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao:
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration. - Eike Stadtländer, Tamás Horváth, Stefan Wrobel:
Learning Weakly Convex Sets in Metric Spaces. - Khin Me Me Chit, Laet Laet Lin:
Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition. - Anupam Khan, Soumya K. Ghosh:
Machine Assistance for Credit Card Approval? Random Wheel can Recommend and Explain. - Chuan Ma, Jun Li, Ming Ding, Kang Wei, Wen Chen, H. Vincent Poor:
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design. - Julian Posada:
The Coloniality of Data Work in Latin America. - Monika Balamurugan:
A Report on the Cost of Data Privacy. - Maciej A. Mazurowski:
Do We Expect More from Radiology AI than from Radiologists? - Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv:
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. - Joshua Ellul, Stephen McCarthy, Trevor Sammut, Juanita Brockdorff, Matthew Scerri, Gordon J. Pace:
A Pragmatic Approach to Regulating Artificial Intelligence: A Technology Regulator's Perspective. - Michael K. Cohen, Badri N. Vellambi, Marcus Hutter:
Intelligence and Unambitiousness Using Algorithmic Information Theory. - Janet Rafner, Arthur Hjorth, Carrie Ann Weidner, Shaeema Zaman Ahmed, Christian Poulsen, Clemens Nylandsted Klokmose, Jacob Friis Sherson:
SciNote: Collaborative Problem Solving and Argumentation Tool. - Chen-Chen Fan, Haiqun Xie, Liang Peng, Hongjun Yang, Zhen-Liang Ni, Guan'an Wang, Yan-Jie Zhou, Sheng Chen, Zhijie Fang, Shuyun Huang, Zeng-Guang Hou:
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG. - Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels. - D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju:
Modeling and Evaluation of Clustering Patient Care into Bubbles. - Dequan Liang, Kai Wan, Minquan Cheng, Giuseppe Caire:
Multiaccess Coded Caching with Private Demands. - Huaicong Kong, Min Lin, Zining Wang, Jian Ouyang, Julian Cheng:
Ergodic Capacity of High Throughput Satellite Systems With Mixed FSO-RF Transmission. - Mozhengfu Liu, Xueyan Tang:
Analysis of Busy-Time Scheduling on Heterogeneous Machines. - Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Controlled Sensing and Deep Active Inference. - Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. - Christian Bartolo Burlò, Adrian Francalanza, Alceste Scalas:
On the Monitorability of Session Types, in Theory and Practice (Extended Version). - Koko Visser, Bas Bosma, Eric O. Postma:
A one-armed CNN for exoplanet detection from light curves. - Mengxi Tan, Xingyuan Xu, David J. Moss:
Optical neuromorphic processing at Tera-OP/s speeds based on Kerr soliton crystal microcombs. - Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang:
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey. - Ismini Psychoula, Andreas Gutmann, Pradip Mainali, Sharon H. Lee, Paul Dunphy, Fabien A. P. Petitcolas:
Explainable Machine Learning for Fraud Detection. - Tanguy Fardet, Anna Levina:
Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. - Lawrence C. Paulson:
The Inductive Approach to Verifying Cryptographic Protocols. - Aleksandar Jevremovic, Panayiotis Zaphiris, Sasa Z. Adamovic, Mati Mottus, Andri Ioannou:
Applying information theory and entropy to eliminate errors in mouse-tracking results. - Yingjie Xue, Maurice Herlihy:
Hedging Against Sore Loser Attacks in Cross-Chain Transactions. - Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. - Jiaqi Jiang, Guanqun Cao, Daniel Fernandes Gomes, Shan Luo:
Vision-Guided Active Tactile Perception for Crack Detection and Reconstruction. - Matthias Werner, Andrej Junginger, Philipp Hennig, Georg Martius:
Informed Equation Learning. - Matteo Capucci, Bruno Gavranovic, Jules Hedges, Eigil Fjeldgren Rischel:
Towards Foundations of Categorical Cybernetics. 235-248 - Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail A. Kudinov:
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech. - Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. - Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Ryan Cunningham:
Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting. - (Withdrawn) SmartCrawler: An In-pipe Robotic System with Wireless Communication in Water Distribution Systems.
- Elisa Ferrari, Davide Bacciu:
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss. - Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. - Hancheng Min, Salma Tarmoun, René Vidal, Enrique Mallada:
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. - Sian Gooding, Yevgeni Berzak, Tony Mak, Matthew Sharifi:
Predicting Text Readability from Scrolling Interactions. - Aysegül Özkaya Eren, Mustafa Sert:
Audio Captioning with Composition of Acoustic and Semantic Information. - Kai Gao, Si Wei Feng, Jingjin Yu:
On Minimizing the Number of Running Buffers for Tabletop Rearrangement. - Ziyue Xiang, János Horváth, Sriram Baireddy, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
Forensic Analysis of Video Files Using Metadata. - Lei Zhang, Ye Lu, Shaoqiang Tang, Wing Kam Liu:
HiDeNN-PGD: reduced-order hierarchical deep learning neural networks. - Shuo Zhang, Krisztian Balog:
Semantic Table Retrieval using Keyword and Table Queries. - Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani:
Neighborhood-Aware Neural Architecture Search. - Iain Barclay, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials. - Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde:
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. - Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song:
Class-Incremental Learning for Wireless Device Identification in IoT. - Kiev Gama, Carlos Zimmerle, Pedro Rossi:
Online Hackathons as an Engaging Tool to Promote Group Work in Emergency Remote Learning. - Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. - Ali Jazayeri, Christopher C. Yang:
Frequent Pattern Mining in Continuous-time Temporal Networks. - Harsh Desai, Pratik Kayal, Mayank Singh:
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables. - Mohammad Nasim Imtiaz Khan, Swaroop Ghosh:
Comprehensive Study of Security and Privacy of Emerging Non-Volatile Memories. - Matthias Bolten, Jan Hahne:
Using ODE waveform-relaxation methods to efficiently include gap junctions in distributed neural network simulations. - Anne Mergy, Gurvan Lécuyer, Dawa Derksen, Dario Izzo:
Vision-based Neural Scene Representations for Spacecraft. - Robin Kips, Ruowei Jiang, Sileye O. Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example. - Trung Le, Ryan Poplin, Fred Bertsch, Andeep Singh Toor, Margaret L. Oh:
SyntheticFur dataset for neural rendering. - Edward Johns:
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. - Amar Oukil:
Building a consistent system for faculty appraisal using Data Envelopment Analysis. - G. Anthony Reina, Alexey Gruzdev, Patrick Foley, Olga Perepelkina, Mansi Sharma, Igor Davidyuk, Ilya Trushkin, Maksim Radionov, Aleksandr Mokrov, Dmitry Agapov, Jason Martin, Brandon Edwards, Micah J. Sheller, Sarthak Pati, Prakash Narayana Moorthy, Hans Shih-Han Wang, Prashant Shah, Spyridon Bakas:
OpenFL: An open-source framework for Federated Learning. - Mahdi Pourmirzaei, Farzaneh Esmaili, Gholam Ali Montazer:
Using Self-Supervised Co-Training to Improve Facial Representation. - Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally-motivated Shortcut Removal Using Auxiliary Labels. - Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo:
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. - Pratyush Agarwal, Krishnendu Chatterjee, Shreya Pathak, Andreas Pavlogiannis, Viktor Toman:
Stateless Model Checking under a Reads-Value-From Equivalence. - David Betancourt, Rafi Muhanna:
Interval Deep Learning for Uncertainty Quantification in Safety Applications. - Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. - Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. - Christian Kästner, Eunsuk Kang, Sven Apel:
Feature Interactions on Steroids: On the Composition of ML Models. - Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche:
Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels. - Alexander Pashevich, Cordelia Schmid, Chen Sun:
Episodic Transformer for Vision-and-Language Navigation. - Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu:
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. - Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational AI Systems for Social Good: Opportunities and Challenges. - Manuel Jahn, Robin Rombach, Björn Ommer:
High-Resolution Complex Scene Synthesis with Transformers. - Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar:
3D Spatial Recognition without Spatially Labeled 3D. - Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas:
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. - Haiping Wu, Xiaolong Wang:
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency. - Shiyi Lan, Zhiding Yu, Christopher Bongsoo Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. - Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell:
Editing Conditional Radiance Fields. - Chen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin Huang:
Dynamic View Synthesis from Dynamic Monocular Video. - Carlos Javier Fernández Candel, Diego Sevilla Ruiz, Jesús Joaquín García Molina:
A Unified Metamodel for NoSQL and Relational Databases. - Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard:
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. - Chen Feng, Hui-Ming Wang, H. Vincent Poor:
Reliable and Secure Short-Packet Communications. - Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson:
Improved Algorithms for Agnostic Pool-based Active Classification. - Thiago B. Burghi, Juliano G. Iossaqui, Juan F. Camino:
Kinematic control design for wheeled mobile robots with longitudinal and lateral slip. - Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Sanity Simulations for Saliency Methods. - (Withdrawn) Internet of Things (IoT) Based Video Analytics: a use case of Smart Doorbell.
- Nathan Dolbir, Triyasha Ghosh Dastidar, Kaushik Roy:
NLP is Not enough - Contextualization of User Input in Chatbots. - Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji:
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. - Bansidhar Mangalwedhekar:
Distilling BERT for low complexity network training. - Arash Mohammadhasani, Hamed Mehrivash, Alan F. Lynch, Zhan Shu:
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving. - Hongpeng Guo, Shuochao Yao, Zhe Yang, Qian Zhou, Klara Nahrstedt:
CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale. - Christos K. Verginis, Franck Djeumou, Ufuk Topcu:
Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers. - Rajeev Yasarla, Hamid Reza Vaezi Joze, Vishal M. Patel:
Network Architecture Search for Face Enhancement. - Dushyant Sahoo, Christos Davatzikos:
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies. - Wil Thomason, Hadas Kress-Gazit:
Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions. - Hua Zheng, Wei Xie, Ilya O. Ryzhov, Dongming Xie:
Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes. - Edmon Begoli, Robert A. Bridges, Sean Oesch, Kathryn Knight:
What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity. - Sonia K. Murthy, Robert X. D. Hawkins, Thomas L. Griffiths:
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. - Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan:
Not All Memories are Created Equal: Learning to Forget by Expiring. - Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
Axes for Sociotechnical Inquiry in AI Research. - Fin Hendrik Bahnsen, Görschwin Fey:
YAPS - Your Open Examination System for Activating and emPowering Students. - Luca Kreisel, Niclas Boehmer, Vincent Froese, Rolf Niedermeier:
Equilibria in Schelling Games: Computational Complexity and Robustness. - Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew Evanusa, Yiannis Aloimonos:
SpikeMS: Deep Spiking Neural Network for Motion Segmentation. - Yingbo Li, Yucong Duan, Anamaria-Beatrice Spulber, Haoyang Che, Zakaria Maamar, Zhao Li, Chen Yang, Yu Lei:
Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence. - Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan:
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric. - Siddhartha Satpathi, R. Srikant:
The Dynamics of Gradient Descent for Overparametrized Neural Networks. - Michael Salim, Thomas D. Uram, J. Taylor Childers, Venkat Vishwanath, Michael E. Papka:
Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers. - Ludovic Calès, Apostolos Chalkis, Ioannis Z. Emiris:
The cross-sectional distribution of portfolio returns and applications. - Daniel Larraz, Mickaël Laurent, Cesare Tinelli:
Merit and Blame Assignment with Kind 2. - Anuradha M. Annaswamy, Anubhav Guha, Yingnan Cui, Joseph E. Gaudio, José M. Moreu:
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches. - Carlo Condo, Alex Nicolescu:
Input-distribution-aware parallel decoding of block codes. - Derek S. Prijatelj, Samuel Grieggs, Futoshi Yumoto, Eric Robertson, Walter J. Scheirer:
Handwriting Recognition with Novelty. - Yitong Li, Yunjie Gu, Timothy C. Green:
Mapping of Dynamics between Mechanical and Electrical Ports in SG-IBR Composite Grids. - Mangqing Guo, Mustafa Cenk Gursoy:
Performance Analysis of Cell-Free Massive MIMO Systems with Massive Connectivity. - Tomas Geffner, Justin Domke:
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization. - Noemi Derzsy, Subhabrata Majumdar, Rajat Malik:
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research. - Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. - Joshua Landgraf, Scott Lloyd, Maya B. Gokhale:
Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator. - Tyler Chen, Thomas Trogdon, Shashanka Ubaru:
Analysis of stochastic Lanczos quadrature for spectrum approximation. - Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Joint Retrieval and Generation Training for Grounded Text Generation. - Mohsen Gholami, Ahmad Rezaei, Helge Rhodin, Rabab Ward, Z. Jane Wang:
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video. - Emily Allaway, Malavika Srikanth, Kathleen R. McKeown:
Adversarial Learning for Zero-Shot Stance Detection on Social Media. - Weijie Jiang, Zachary A. Pardos:
Towards Equity and Algorithmic Fairness in Student Grade Prediction. - Abdul Syahid, Nur Mukminatien:
Thirty years of TEFLIN Journal: A bibliometric portrait through the lens of Microsoft Academic. - Christos Xenofontos, Ioannis Zografopoulos, Charalambos Konstantinou, Alireza Jolfaei, Muhammad Khurram Khan, Kim-Kwang Raymond Choo:
Consumer, Commercial and Industrial IoT (In)Security: Attack Taxonomy and Case Studies. - Hagit Attiya, Constantin Enea, Jennifer L. Welch:
Impossibility of Strongly-Linearizable Message-Passing Objects via Simulation by Single-Writer Registers. - Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei, Seyedeh Zahra Hosseinifard:
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function. - Jianshen Liu, Carlos Maltzahn, Craig D. Ulmer, Matthew Leon Curry:
Performance Characteristics of the BlueField-2 SmartNIC. - Yong Li, Shiguang Shan:
Meta Auxiliary Learning for Facial Action Unit Detection. - Han Chen, Peng Lu:
Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation. - Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen:
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones. - Anil K. Jain, Debayan Deb, Joshua J. Engelsma:
Biometrics: Trust, but Verify. - Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. - Nuo Chen, Xinyi Jiang, Baihua Shi, Yin Teng, Jinhui Lu, Feng Shu, Jun Zou, Jun Li, Jiangzhou Wang:
Fast Ambiguous DOA Elimination Method of DOA Measurement for Hybrid Massive MIMO Receiver. - Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer:
An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution. - Nan Gao, Max Marschall, Jane Burry, Simon Watkins, Flora D. Salim:
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables. - Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. - Jens Braband, Hendrik Schäbe:
Risk Model of German Corona Warning App - Reloaded. - Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang:
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection. - Zhengrui Huang:
Multi-Link and AUV-aided Energy-Efficient Underwater Emergency Response. - Zhengrui Huang:
Hybrid Device-to-Device and Device-to-Vehicle Networks for Energy-Efficient Emergency Communication. - Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL. - Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu:
Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches. - Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Attentional Prototype Inference for Few-Shot Semantic Segmentation. - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Keep Your Distance: Land Division With Separation. - Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu:
Fast Stencil Computations using Fast Fourier Transforms. - Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel:
XAI Handbook: Towards a Unified Framework for Explainable AI. - Zhixing Tan, Maosong Sun, Yang Liu:
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation. - Olga Viberg, Åke Grönlund:
Desperately seeking the impact of learning analytics in education at scale: Marrying data analysis with teaching and learning. - Elena Volodina, Yousuf Ali Mohammed, Julia Klezl:
DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing. - James C. A. Main, Mickael Randour, Jeremy Sproston:
Time Flies When Looking out of the Window: Timed Games with Window Parity Objectives. - Vincenzo Ciancia, Diego Latella, Mieke Massink, Erik P. de Vink:
On Bisimilarities for Closure Spaces - Preliminary Version. - Lars J. Svensson, Martin Törngren:
Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and Control. - Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang:
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning. - Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. - Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon:
BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs. - Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. - Bruno Degardin, Vasco Lopes, Hugo Proença:
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. - Daniel Anderson, Guy E. Blelloch, Anubhav Baweja, Umut A. Acar:
Efficient Parallel Self-Adjusting Computation. - Francesco Romor, Marco Tezzele, Gianluigi Rozza:
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis. - Peijia Chen, Jianhuang Lai, Guangcong Wang, Huajun Zhou:
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection. - Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations. - Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh:
Neural-Symbolic Commonsense Reasoner with Relation Predictors. - Benedikt Bollig, Alain Finkel, Amrita Suresh:
Bounded Reachability Problems are Decidable in FIFO Machines. - Rwiddhi Chakraborty, Shubhayu Das:
RC2020 Report: Learning De-biased Representations with Biased Representations. - Zhihao Wen, Yuan Fang, Zemin Liu:
Meta-Inductive Node Classification across Graphs. - Gesina Schwalbe:
Verification of Size Invariance in DNN Activations using Concept Embeddings. - Alarith Uhde, Marc Hassenzahl:
Simulating Social Acceptability With Agent-based Modeling. - Alexander Dax, Robert Künnemann:
On the Soundness of Infrastructure Adversaries. - Gal Sela, Maurice Herlihy, Erez Petrank:
Linearizability: a Typo. - Marc Tanti, Camille Berruyer, Paul Tafforeau, Adrian Muscat, Reuben A. Farrugia, Kenneth Scerri, Gianluca Valentino, V. Armando Solé, Johann A. Briffa:
Automated segmentation of microtomography imaging of Egyptian mummies. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement. - David A. Bierbrauer, Alexander Chang, Will Kritzer, Nathaniel D. Bastian:
Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments. - Zuduo Zheng:
Reasons, Challenges and Some Tools for Doing Reproducible Research in Transportation Research. - Michal Koucký, Vojtech Rödl, Navid Talebanfard:
A Separator Theorem for Hypergraphs and a CSP-SAT Algorithm. - Adrian Kjærran, Christian Bakke Vennerød, Erling Stray Bugge:
Facial Age Estimation using Convolutional Neural Networks. - Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma:
Troubleshooting Blind Image Quality Models in the Wild. - Seonghyeon Lee, Dongha Lee, Hwanjo Yu:
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. - Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach:
Classifying Long Clinical Documents with Pre-trained Transformers. - Fabio Zappardino, Tiberio Uricchio, Lorenzo Seidenari, Alberto Del Bimbo:
Learning Group Activities from Skeletons without Individual Action Labels. - Christian Bakke Vennerød, Adrian Kjærran, Erling Stray Bugge:
Long Short-term Memory RNN. - Rick Boks, Anna V. Kononova, Hao Wang:
Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution. - Cor Steging, Silja Renooij, Bart Verheij:
Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning. - Yulong Chen, Yang Liu, Liang Chen, Yue Zhang:
DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset. - Matteo Capucci, Neil Ghani, Jérémy Ledent, Fredrik Nordvall Forsberg:
Translating Extensive Form Games to Open Games with Agency. 221-234 - Shaoqi Yu, Xiaorun Li, Shuhan Chen, Liaoying Zhao:
Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection. - Alexey Ignatiev, João Marques-Silva:
SAT-Based Rigorous Explanations for Decision Lists. - Alessandro Ronca, Giuseppe De Giacomo:
Efficient PAC Reinforcement Learning in Regular Decision Processes. - Amin Totounferoush, Axel Schumacher, Miriam Schulte:
Partitioned Deep Learning of Fluid-Structure Interaction. - Robin Hirsch, Jas Semrl:
Demonic Lattices and Semilattices in Relational Semigroups with Ordinary Composition. - Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed:
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. - Olaf Steinbach, Carolina Urzúa-Torres:
A new approach to space-time boundary integral equations for the wave equation. - Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu:
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. - Jinyin Chen, Ruoxi Chen, Haibin Zheng, Zhaoyan Ming, Wenrong Jiang, Chen Cui:
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks. - Sylwia Majchrowska, Agnieszka Mikolajczyk, Maria Ferlin, Zuzanna Klawikowska, Marta A. Plantykow, Arkadiusz Kwasigroch, Karol Majek:
Waste detection in Pomerania: non-profit project for detecting waste in environment. - Adrian Schumacher, Ruben Merz, Andreas Burg:
3.5 GHz Coverage Assessment with a 5G Testbed. - Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza, Roberto A. Lotufo, Rodrigo Nogueira:
A cost-benefit analysis of cross-lingual transfer methods. - Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang:
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. - Farhan Rahman Wasee, Alen Joy, Charalambos Poullis:
Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination. - Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng:
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms. - James FitzGerald, KongFatt Wong-Lin:
Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. - Victor De Gea, Santiago T. Puente, Pablo Gil:
Domestic waste detection and grasping points for robotic picking up. - Yubo Xie, Pearl Pu:
Generating Empathetic Responses with a Large Scale Dialog Dataset. - Dean P. Foster, Robert A. Stine:
Threshold Martingales and the Evolution of Forecasts. - Haiyang Sun, Andrea Rosà, Daniele Bonetta, Walter Binder:
Automatically Assessing and Extending Code Coverage for NPM Packages. - Yue Zhang, Quan Guo, Parisa Kordjamshidi:
Towards Navigation by Reasoning over Spatial Configurations. - Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella, Marco Conti:
The academic wanderer: structure of collaboration network and relation with research performance. - Federico Chiariotti, Josefine Holm, Anders E. Kalør, Beatriz Soret, Søren Kejser Jensen, Torben Bach Pedersen, Petar Popovski:
Query Age of Information: Freshness in Pull-Based Communication. - Ido Ben-Shaul, Shai Dekel:
Sparsity-Probe: Analysis tool for Deep Learning Models. - Chiara Romanengo, Andrea Raffo, Yifan Qie, Nabil Anwer, Bianca Falcidieno:
Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD models. - Saumya Chaturvedi, Zilong Liu, Vivek Ashok Bohara, Anand Srivastava, Pei Xiao:
A Tutorial to Sparse Code Multiple Access. - Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister:
VICE: Visual Identification and Correction of Neural Circuit Errors. - Simon Becher, Gunar Matthies:
Unified Analysis for Variational Time Discretizations of Higher Order and Higher Regularity Applied to Non-stiff ODEs. - Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jian:
Privacy-preserving Logistic Regression with Secret Sharing. - Oleksii Oleksenko, Christof Fetzer, Boris Köpf, Mark Silberstein:
Revizor: Fuzzing for Leaks in Black-box CPUs. - Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
End-to-end Alternating Optimization for Blind Super Resolution. - Adrian Schumacher, Ruben Merz, Andreas Burg:
A mmWave Bridge Concept to Solve the Cellular Outdoor-to-Indoor Challenge. - Sepehr Assadi, Shay Solomon:
Fully Dynamic Set Cover via Hypergraph Maximal Matching: An Optimal Approximation Through a Local Approach. - Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. - Nima Jamaly, Stefan Mauron, Ruben Merz, Adrian Schumacher, Daniel Wenger:
Delivering Gigabit Capacities to Passenger Trains Tales from an Operator on the Road to 5G. - Eirik Molde Bårli, Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud:
DoS and DDoS Mitigation Using Variational Autoencoders. - Bart Jacobs:
From Multisets over Distributions to Distributions over Multisets. - Adrian Schumacher, Ruben Merz, Andreas Burg:
Adding Indoor Capacity Without Fiber Backhaul: A mmWave Bridge Prototype. - Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong:
QAConv: Question Answering on Informative Conversations. - John Moon, Wei D. Lu:
Hierarchical Architectures in Reservoir Computing Systems. - Mustapha Hached, Khalide Jbilou, Christos Koukouvinos, Marilena Mitrouli:
A multidimensional principal component analysis via the c-product Golub-Kahan-SVD for classification and face recognition. - Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan:
On Measuring the Diversity of Organizational Networks. - Siva Shanmugam, Sheetal Kalyani:
Deep learned SVT: Unrolling singular value thresholding to obtain better MSE. - Scott Jordan, Yoshimichi Nakatsuka, Ercan Ozturk, Andrew Paverd, Gene Tsudik:
VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests. - Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo:
Efficient Spiking Neural Networks with Radix Encoding. - Amin Saberi, David Wajc:
The Greedy Algorithm is \emph{not} Optimal for On-Line Edge Coloring. - Huiyuan Lai, Antonio Toral, Malvina Nissim:
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer. - Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths:
Control of mental representations in human planning. - Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Plot and Rework: Modeling Storylines for Visual Storytelling. - Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy:
Information-theoretic Evolution of Model Agnostic Global Explanations. - Ming Liang Ang, Eloise Y. Y. Lim, Joel Q. L. Chang:
Thompson Sampling for Gaussian Entropic Risk Bandits. - Dave Dice, Alex Kogan:
Ready When You Are: Efficient Condition Variables via Delegated Condition Evaluation. - Shauli Ravfogel, Grusha Prasad, Tal Linzen, Yoav Goldberg:
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction. - Gabriel Salomon, Alceu S. Britto Jr., Rafael Henrique Vareto, William Robson Schwartz, David Menotti:
Open-set Face Recognition for Small Galleries Using Siamese Networks. - Paul Harvey, Simon Fowler, Ornela Dardha, Simon J. Gay:
Multiparty Session Types for Safe Runtime Adaptation in an Actor Language (Extended version). - Noama Fatima Samreen, Manar H. Alalfi:
A Survey of Security Vulnerabilities in Ethereum Smart Contracts. - Jemima M. Tabeart, John W. Pearson:
Saddle point preconditioners for weak-constraint 4D-Var. - Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? - Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad:
EASE: Extractive-Abstractive Summarization with Explanations. - Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging. - Max Ryabinin, Andrey Malinin, Mark J. F. Gales:
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets. - Nathan Frey, Peggy Chi, Weilong Yang, Irfan Essa:
Automatic Non-Linear Video Editing Transfer. - Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky:
BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT. - Therese Biedl, Giuseppe Liotta, Jayson Lynch, Fabrizio Montecchiani:
Generalized LR-drawings of trees. - Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. - Elisa Ferrari, Luna Gargani, Greta Barbieri, Lorenzo Ghiadoni, Francesco Faita, Davide Bacciu:
A causal learning framework for the analysis and interpretation of COVID-19 clinical data. - Aleksander Figiel, Leon Kellerhals, Rolf Niedermeier, Matthias Rost, Stefan Schmid, Philipp Zschoche:
Optimal Virtual Network Embeddings for Tree Topologies. - Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski:
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. - Thomas Bendokat, Ralf Zimmermann:
Efficient Quasi-Geodesics on the Stiefel Manifold. - (Withdrawn) Chord Recognition- Music and Audio Information Retrieval.
- Geoff Boeing, Michael Batty, Shan Jiang, Lisa Schweitzer:
Urban Analytics: History, Trajectory, and Critique. - Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojsa Tijanic, Hervé Ménager, Stian Soiland-Reyes, Carole A. Goble:
Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. - Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin:
Learning a Universal Template for Few-shot Dataset Generalization. - Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal:
The Benefit Of Temporally-Strong Labels In Audio Event Classification. - Mohammad Nokhbeh Zaeem, Majid Komeili:
Cause and Effect: Concept-based Explanation of Neural Networks. - Anna V. Guglielmi, Alberto Muraro, Giulia Cisotto, Nicola Laurenti:
Information Theoretic Key Agreement Protocol based on ECG signals. - Bob de Ruiter:
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks. - Mushu Li, Jie Gao, Conghao Zhou, Xuemin Shen, Weihua Zhuang:
Slicing-Based AI Service Provisioning on Network Edge. - Matheus Alves Diniz, William Robson Schwartz:
Face Attributes as Cues for Deep Face Recognition Understanding. - Morteza Banagar, Harpreet S. Dhillon:
3D Two-Hop Cellular Networks with Wireless Backhauled UAVs: Modeling and Fundamentals. - David M. Ambrose, Michael Siegel, Keyang Zhang:
Convergence of the boundary integral method for interfacial Stokes flow. - Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. - Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels. - Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan L. Yuille, Hongjing Lu:
Visual analogy: Deep learning versus compositional models. - Hongda Wu, Ping Wang:
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data. - Ioannis S. Xezonakis, Svoronos Leivadaros:
N-ary Huffman Encoding Using High-Degree Trees - A Performance Comparison. - Mohamed A. Abd-Elmagid, Harpreet S. Dhillon:
Closed-form Characterization of the MGF of AoI in Energy Harvesting Status Update Systems. - Rishi Advani, Sean O'Hagan:
Efficient Algorithms for Constructing an Interpolative Decomposition. - Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
High-Robustness, Low-Transferability Fingerprinting of Neural Networks. - Shenyu Liu, Sonia Martínez, Jorge Cortés:
Iterative Algorithms for Assessing Network Resilience Against Structured Perturbations. - Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li:
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. - Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. - Nikolajs Skuratovs, Michael Davies:
Divergence Estimation in Message Passing algorithms. - Dao Thanh Hai:
The Achilles Heel of Some Optical Network Designs and Performance Comparisons. - Sajjad Nassirpour, Alireza Vahid:
On the Stability Region of Intermittent Interference Networks. - Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer:
Verification of Image-based Neural Network Controllers Using Generative Models. - Omid Davoodi, Majid Komeili:
Feature-Based Interpretable Reinforcement Learning based on State-Transition Models. - Robert A. Cohen, Hyomin Choi, Ivan V. Bajic:
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. - Lane D. Smith, Daniel S. Kirschen:
Impacts of Time-of-Use Rate Changes on the Electricity Bills of Commercial Consumers. - Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes:
An Effective Baseline for Robustness to Distributional Shift. - Evan Hernandez, Jacob Andreas:
The Low-Dimensional Linear Geometry of Contextualized Word Representations. - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. - Celong Liu, Zhong Li, Junsong Yuan, Yi Xu:
NeLF: Practical Novel View Synthesis with Neural Light Field. - Christian Mejía Escobar, Miguel Cazorla, Ester Martínez-Martín:
A Large Visual, Qualitative and Quantitative Dataset of Web Pages. - Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Marwan Jalaleddine, Warren J. Gross:
High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND. - Mohammadreza Mohseni, Jordan Yap, William Yolland, Arash Koochek, M. Stella Atkins:
Can self-training identify suspicious ugly duckling lesions? - Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei:
Premise-based Multimodal Reasoning: A Human-like Cognitive Process. - Costas Busch, Dariusz R. Kowalski:
Byzantine-Resilient Population Protocols. - Xin Liu, Xingzhi Wang, Yiu-ming Cheung:
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval. - Hongwei Chen, Wen Lu:
Regularized Deep Linear Discriminant Analysis. - Amir-Hossein Kiamarzi, Pezhman Torabi, Reza Sameni:
Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks. - Keisuke Okumura, François Bonnet, Yasumasa Tamura, Xavier Défago:
Offline Time-Independent Multi-Agent Path Planning. - Anant Baijal, Vivek Agarwal, Danny Hyun:
Analyzing Images for Music Recommendation. - Nihar Bendre, Kevin Desai, Peyman Najafirad:
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. - Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Move2Hear: Active Audio-Visual Source Separation. - Monu Verma, Ayushi Gupta, Santosh Kumar Vipparthi:
One for All: An End-to-End Compact Solution for Hand Gesture Recognition. - Jason Wei, Clara Meister, Ryan Cotterell:
A Cognitive Regularizer for Language Modeling. - Wu-Te Yang, Zhian Kuang, Changhao Wang, Masayoshi Tomizuka:
Development of Soft Tactile Sensor for Force Measurement and Position Detection. - Zhiwen Fan, Lingjie Zhu, Honghua Li, Xiaohao Chen, Siyu Zhu, Ping Tan:
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting. - Wei Liu, Xiyan Fu, Yue Zhang, Wenming Xiao:
Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter. - Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen:
DirectQE: Direct Pretraining for Machine Translation Quality Estimation. - Yuyang Wei, Yijun Yu, Minxue Pan, Tian Zhang:
A Feature Table approach to decomposing monolithic applications into microservices. - Jochen Könemann, Justin Toth, Felix Zhou:
On the Complexity of Nucleolus Computation for Bipartite b-Matching Games. - Yi Liu, Wei Cheng, Sylvain Guilley, Olivier Rioul:
On Conditional α-Information and its Application to Side-Channel Analysis. - Masayoshi Mase, Art B. Owen, Benjamin B. Seiler:
Cohort Shapley value for algorithmic fairness. - Masoud Hayeri Khyavi:
Rescue Network: Using UAVs (drones) in Earthquake Crisis Management. - Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image. - Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li:
Cross-Modal Progressive Comprehension for Referring Segmentation. - Natasha Fernandes, Annabelle McIver, Carroll Morgan:
The Laplace Mechanism has optimal utility for differential privacy over continuous queries. - Xinyu Peng, Jiawei Zhang, Fei-Yue Wang, Li Li:
Drill the Cork of Information Bottleneck by Inputting the Most Important Data. - Tom H. Luan, Ruhan Liu, Longxiang Gao, Rui Li, Haibo Zhou:
The Paradigm of Digital Twin Communications. - Helena Blazun Vosner, Peter Kokol, Jernej Zavrsnik, Danica Zeleznik:
Content Analysis Application in Nursing: A Synthetic Knowledge Synthesis Meta-Study. - Gesina Schwalbe, Bettina Finzel:
XAI Method Properties: A (Meta-)study. - Vishal Kumar, Sinnu Susan Thomas:
Make Bipedal Robots Learn How to Imitate. - Cheng Qiu, Yuzi Han, Logesh Shanmugam, Fengyang Jiang, Zhidong Guan, Shanyi Du, Jinglei Yang:
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks. - Parinthorn Manomaisaowapak, Jitkomut Songsiri:
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. - Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths:
Are Convolutional Neural Networks or Transformers more like human vision? - Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler:
Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees. - Burak Tagtekin, Berkan Höke, Mert Kutay Sezer, Mahiye Uluyagmur Öztürk:
FOGA: Flag Optimization with Genetic Algorithm. - Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler:
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. - Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou:
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. - Alexander Zlotnik:
On properties of an explicit in time fourth-order vector compact scheme for the multidimensional wave equation. - Sourabh Pal:
Generative Adversarial Network-based Cross-Project Fault Prediction. - Lei Sun, Jia Wang, Kailun Yang, Kaikai Wu, Xiangdong Zhou, Kaiwei Wang, Jian Bai:
Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos. - Yucheng Liu, Lawrence Ong, Parastoo Sadeghi, Neda Aboutorab, Arman Sharififar:
On Converse Results for Secure Index Coding. - Shuqin Pang, Wenyi Zhang:
Generalized Nearest Neighbor Decoding for MIMO Channels with Imperfect Channel State Information. - Max A. Deppert, Klaus Jansen, Arindam Khan, Malin Rau, Malte Tutas:
Peak Demand Minimization via Sliced Strip Packing. - Murphy Berzish, Joel D. Day, Vijay Ganesh, Mitja Kulczynski, Florin Manea, Federico Mora, Dirk Nowotka:
String Theories involving Regular Membership Predicates: From Practice to Theory and Back. - Julianne Chung, Silvia Gazzola:
Computational methods for large-scale inverse problems: a survey on hybrid projection methods. - Zhiyi Zhang, Liu Ziyin:
On the Distributional Properties of Adaptive Gradients. - Vaishali Mahipal, Mohammad Arif Ul Alam:
Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose. - Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
Universality and Optimality of Structured Deep Kernel Networks. - Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis from Noisy Data. - Christopher Zach:
Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Characterizing the Interactions Between Classical and Community-aware Centrality Measures in Complex Networks. - Pinaki Roy Chowdhury, Angad Wadhwa, Antariksha Kar, Nikhil Tyagi:
Brain Inspired Object Recognition System. - Amrapali Maitra, Maulik R. Kamdar, Donna M. Zulman, Marie C. Haverfield, Cati Brown-Johnson, Rachel Schwartz, Sonoo Thadaney Israni, Abraham Verghese, Mark A. Musen:
Using Ethnographic Methods to Classify the Human Experience in Medicine: A Case Study of the Presence Ontology. - Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. - Poushali Sengupta, Subhankar Mishra:
Fairly Private Through Group Tagging and Relation Impact. - Zifan Chen, Xin Qin, Chao Yang, Li Zhang:
Composite Localization for Human Pose Estimation. - Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang:
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. - Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu:
Regret Minimization Experience Replay. - Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna:
Polynomial degree reduction in the L2-norm on a symmetric interval for the canonical basis. - Zeyu Ding, Daniel Kifer, Sayed M. Saghaian N. E., Thomas Steinke, Yuxin Wang, Yingtai Xiao, Danfeng Zhang:
The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise. - Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews:
A Deep Metric Learning Approach to Account Linking. - Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone:
Neural Trees for Learning on Graphs. - Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Mean Shift for Self-Supervised Learning. - Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier:
Annotation Uncertainty in the Context of Grammatical Change. - Dandan Zhang, Jindong Liu, Guang-Zhong Yang:
An Ergonomic Interaction Workspace Analysis Method for the Optimal Design of a Surgical Master Manipulator. - Mengyu Yang, David Rokeby, Xavier Snelgrove:
Mask-Guided Discovery of Semantic Manifolds in Generative Models. - Andrew Johnson, Thomas Wahl:
Delay-Bounded Scheduling Without Delay! (Extended Technical Report). - Patrick E. Farrell, Abdalaziz Hamdan, Scott P. MacLachlan:
A new mixed finite-element method for the biharmonic problem. - Ali Alijani, Olga Barrera, Stéphane P. A. Bordas:
Circumferential Crack Modeling of Thin Cylindrical Shells in Modal Deformation. - Shweta Jain, Snehapreethi Gopinath, Dipankar Raychaudhuri:
Storage Aware Routing for Generalized Delay Tolerant Networks. - Manuel Costanzo, Enzo Rucci, Ulises Costi, Franco Chichizola, Marcelo R. Naiouf:
Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal. - Alexander Mordvintsev, Eyvind Niklasson, Ettore Randazzo:
Texture Generation with Neural Cellular Automata. - Safaa Allamy, Alessandro Lameiras Koerich:
1D CNN Architectures for Music Genre Classification. - Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams:
Distributed Resilient Submodular Action Selection in Adversarial Environments. - Alexander Ororbia, Matthew A. Kelly:
Towards a Predictive Processing Implementation of the Common Model of Cognition. - Xiao Xu, Christian Glusa, Marta D'Elia, John T. Foster:
A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems. - Yiling Lou, Samuel Benton, Dan Hao, Lu Zhang, Lingming Zhang:
How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches. - Luke Breitfeller, Aakanksha Naik, Carolyn P. Rosé:
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models. - Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. - Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei Li:
The Volctrans Neural Speech Translation System for IWSLT 2021. - Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney:
LocalNewton: Reducing Communication Bottleneck for Distributed Learning. - Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. - Heather Wilber, Anil Damle, Alex Townsend:
Data-driven Algorithms for signal processing with rational functions. - Parovik Roman:
Application of the Adams-Bashfort-Mowlton Method to the Numerical Study of Linear Fractional Oscillators Models. - Hao Wang:
Que Bian: An Electronic Medical Record Management System on Blockchain. - Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. - Virendra Sule:
A Complete algorithm for local inversion of maps: Application to Cryptanalysis. - Douglas Zytko, Nicholas Furlo, Bailey Carlin, Matthew Archer:
Computer-Mediated Consent to Sex: The Context of Tinder. - Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu:
Real-time Detection of Practical Universal Adversarial Perturbations. - Ming-Kun Xie, Sheng-Jun Huang:
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise. - Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. - Apurva Badithela, Tichakorn Wongpiromsarn, Richard M. Murray:
Leveraging Classification Metrics for Quantitative System-Level Analysis with Temporal Logic Specifications. - Shijie Yu, Dapeng Chen, Rui Zhao, Haobin Chen, Yu Qiao:
Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification. - Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. - Dandan Zhang, Yu Zheng, Qiang Li, Lei Wei, Dongsheng Zhang, Zhengyou Zhang:
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring. - Zicheng Zhang, Congying Han, Tiande Guo:
ExSinGAN: Learning an Explainable Generative Model from a Single Image. - Xianyuan Zhan, Xiangyu Zhu, Haoran Xu:
Model-Based Offline Planning with Trajectory Pruning. - Danil Makarov, Roman Parovik:
Numerical Modeling of Kondratyev's Long Waves Taking into Account Heredity. - Catarina Moreira, José Acácio de Barros:
Order Effects in Bayesian Updates. - George Grispos, Talon Flynn, William Bradley Glisson, Kim-Kwang Raymond Choo:
Investigating Protected Health Information Leakage from Android Medical Applications. - Anup Mishra, Yijie Mao, Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access for Downlink Multiuser MIMO: Precoder Optimization and PHY-Layer Design. - Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du:
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images. - Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin:
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study. - Christian J. Lex, Oliver W. Gnilke:
Low-Complexity PIR Using Subfield Subcodes. - Johannes Rabold, Gesina Schwalbe, Ute Schmid:
Expressive Explanations of DNNs by Combining Concept Analysis with ILP. - Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. - Silvia Gazzola, Malena Sabate Landman:
Regularization by inexact Krylov methods with applications to blind deblurring. - Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Undistillable: Making A Nasty Teacher That CANNOT teach students. - Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao:
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory. - Saksham Bhushan, Sai Teja Suggala, Arzad Alam Kherani, T. V. Sreejith:
Dimensioning an Indoor SISO RIS-system: Approximations and Equivalence Models. - Yuhang Zhang, Xiaopeng Zhang, Robert C. Qiu, Jie Li, Haohang Xu, Qi Tian:
Semi-supervised Contrastive Learning with Similarity Co-calibration. - Maike Meier, Yuji Nakatsukasa:
Fast randomized numerical rank estimation. - Kazuya Ueki:
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval. - Rik D. T. Janssen, Henderik A. Proper, Hans Bosma, D. Verhoef, S. J. B. A. Hoppenbrouwers:
Developing an Architecture Method Library. - Alexander G. Chkhartishvili, Dmitry A. Gubanov, Ivan V. Kozitsin:
Face mask perception during the COVID-19 pandemic: an observational study of Russian online social network VKontakte. - Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran:
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI. - Samia Touileb, Jeremy Barnes:
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus. - Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek:
Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. - Yiannis Hadjimichael, David I. Ketcheson, Lajos Lóczi:
Positivity preservation of implicit discretizations of the advection equation. - Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang:
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions. - Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer:
Dimension-Free Empirical Entropy Estimation. - Dmitriy Tverdyi, Roman Parovik:
Research of the hereditary dynamic Riccati system with modification fractional differential operator of Gerasimov-Caputo. - Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy. - Henderik A. Proper:
Work Systems Modeling Library. - Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer:
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. - Tejas Gaikwad, Romi Banerjee:
Curiosity-driven Intuitive Physics Learning. - Xianjun Jiao, Michael T. Mehari, Wei Liu, Muhammad Aslam, Ingrid Moerman:
Openwifi CSI fuzzer for authorized sensing and covert channels. - Chandan Kumar Jha, Shreyas Singh, Riddhi Thakker, Manu Awasthi, Joycee Mekie:
Zero Aware Configurable Data Encoding by Skipping Transfer for Error Resilient Applications. - Wei Cheng, Yi Liu, Sylvain Guilley, Olivier Rioul:
Attacking Masked Cryptographic Implementations: Information-Theoretic Bounds. - Qin Yang, Ramviyas Parasuraman:
How Can Robots Trust Each Other? A Relative Needs Entropy Based Trust Assessment Models. - Ramakrishnan Raman, Meenakshi D'Souza:
Knowledge Value Stream Framework For Complex Product Design Decisions. - Hyesun Chung, Woojin Park:
Enhancing the Usability of Self-service Kiosks for Older Adults: Effects of Using Privacy Partitions and Chairs. - Qin Wang, Rujia Li, Qi Wang, Shiping Chen:
Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges. - Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. - Thomas Magelinski, Lynnette Hui Xian Ng, Kathleen M. Carley:
A Synchronized Action Framework for Responsible Detection of Coordination on Social Media. - Qin Wang, Rujia Li, Shiping Chen, Yang Xiang:
Formal Security Analysis on dBFT Protocol of NEO. - Naima Otberdout, Claudio Ferrari, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo:
3D to 4D Facial Expressions Generation Guided by Landmarks. - Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-Shot Named Entity Recognition Dataset. - Sohil Lal Shrestha, Christoph Csallner:
SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain. - Margarita Grinvald, Federico Tombari, Roland Siegwart, Juan I. Nieto:
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction. - Amirhossein Kardoost, Margret Keuper:
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation. - Emil Indzhev, Stefan Kiefer:
On Complementing Unambiguous Automata and Graphs With Many Cliques and Cocliques. - Giorgos Stamatelatos, Pavlos S. Efraimidis:
Lexicographic Enumeration of Set Partitions. - Graham W. Alldredge, Martin Frank, Jonas Kusch, Ryan G. McClarren:
A Realizable Filtered Intrusive Polynomial Moment Method. - Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou:
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction. - Seung Min Yu, Jihong Park, Sung Mo Kim, Seung-Woo Ko:
Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation. - Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg:
Data Augmentation for Sign Language Gloss Translation. - Dario Paccagnan, Martin Gairing:
In Congestion Games, Taxes Achieve Optimal Approximation. - Ioannis Pikoulis, Panagiotis Paraskevas Filntisis, Petros Maragos:
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild. - Mahdiyar Molahasani Majdabadi, Younhee Choi, S. Deivalakshmi, Seok-Bum Ko:
Capsule GAN for Prostate MRI Super-Resolution. - Dave Dice, Alex Kogan:
Intra-process Caching and Reuse of Threads. - H. Aghili, R. Sobhani:
Left Dihedral Codes over Finite Chain Rings. - Ghader Ebrahimpour, Mohammad Sayad Haghighi:
Analysis of Bitcoin Vulnerability to Bribery Attacks Launched Through Large Transactions. - David Petrizze, Kasra Koorehdavoudi, Mengran Xue, Sandip Roy:
Distinguishing Aerial Intruders from Trajectory Data: A Model-Based Hypothesis-Testing Approach. - Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. - Benjamin Townsend, Eamon Ito-Fisher, Lily Zhang, Madison May:
Doc2Dict: Information Extraction as Text Generation. - Carlos E. Budde, Mariëlle Stoelinga:
Efficient Algorithms for Quantitative Attack Tree Analysis. - Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin:
Substitutional Neural Image Compression. - Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck:
Decision Making with Differential Privacy under a Fairness Lens. - Pravesh K. Kothari, Peter Manohar:
A Stress-Free Sum-of-Squares Lower Bound for Coloring. - Yi-Jun Chang, Ran Duan, Shunhua Jiang:
Near-Optimal Time-Energy Trade-Offs for Deterministic Leader Election. - Xiang Deng, Zhongfei Zhang:
Graph-Free Knowledge Distillation for Graph Neural Networks. - Vladimír Boza, Peter Peresíni, Brona Brejová, Tomás Vinar:
Dynamic Pooling Improves Nanopore Base Calling Accuracy. - Fredy Vides:
Sparse system identification by low-rank approximation. - Bárbara Gomes Ribeiro, Manoel Horta Ribeiro, Virgílio A. F. Almeida, Wagner Meira Jr.:
Follow the Money: Analyzing @slpng_giants_pt's Strategy to Combat Misinformation. - Tuomas Hakoniemi:
Monomial-size vs. Bit-complexity in Sums-of-Squares and Polynomial Calculus. - Yuping Fan, Zhiling Lan:
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling. - Tamás Viszkok, Péter Hegedüs, Rudolf Ferenc:
Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics. - Nikita V. Kurilenko:
Infinitely growing configurations in Emil Post's tag system problem. - Fedor Part, Neil Thapen, Iddo Tzameret:
First-Order Reasoning and Efficient Semi-Algebraic Proofs. - Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk:
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. - Richard Jiang, Paul L. Chazot, Danny Crookes, Ahmed Bouridane, M. Emre Celebi:
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation. - Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder. - Wenjin Wang, Albertus C. den Brinker:
Algorithmic Principles of Camera-based Respiratory Motion Extraction. - Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. - Abderrahmen Trichili, Amr Ragheb, Dmitrii Briantcev, Maged Abdullah Esmail, Majid Altamimi, Islam Ashry, Boon S. Ooi, Saleh Al-Shebeili, Mohamed-Slim Alouini:
Retrofitting FSO Systems in Existing RF Infrastructure: A Non-Zero Sum Game Technology. - Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. - Lueling Jia, Huiyuan Li, Zhimin Zhang:
Sparse Spectral-Galerkin Method on An Arbitrary Tetrahedron Using Generalized Koornwinder Polynomials. - Kailai Xu, Eric Darve:
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. - Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu:
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing. - Debajyoti Halder, Prashant Kumar, Saksham Bhushan, Anand M. Baswade:
fybrrStream: A WebRTC based Efficient and Scalable P2P Live Streaming Platform. - Varsha Lohani, Anjali Sharma, Yatindra Nath Singh:
Dynamic Routing and Spectrum Assignment based on the Availability of Consecutive Sub-channels in Flexi-grid Optical Networks. - Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang:
Layerwise Optimization by Gradient Decomposition for Continual Learning. - Hao Xue, Flora D. Salim:
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. - Junge Wang, Zhuqing Jia, Syed Ali Jafar:
Price of Precision in Coded Distributed Matrix Multiplication: A Dimensional Analysis. - Elizabeth Dinella, Todd Mytkowicz, Alexey Svyatkovskiy, Christian Bird, Mayur Naik, Shuvendu K. Lahiri:
DeepMerge: Learning to Merge Programs. - Yohan Jo, Seojin Bang, Chris Reed, Eduard H. Hovy:
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes. - (Withdrawn) SoundFence: Securing Ultrasonic Sensors in Vehicles Using Physical-Layer Defense.
- Yuxin Wu, Justin Johnson:
Rethinking "Batch" in BatchNorm. - Abhiram Bhaskar Kakarla:
Towards Novel Multipath Data Scheduling For Future IoT Systems: A Survey. - Hyghor Miranda Côrtes, Paulo Eduardo Santos, João Inácio da Silva Filho:
Monitoring electrical systems data-network equipment by means of Fuzzy and Paraconsistent Annotated Logic. - Sayak Paul, Pin-Yu Chen:
Vision Transformers are Robust Learners. - Keelan Evans, Alsharif Abuadbba, Mohiuddin Ahmed, Tingmin Wu, Mike Johnstone, Surya Nepal:
RAIDER: Reinforcement-aided Spear Phishing Detector. - Shoule Wu, Ziqiang Shi:
It$\hat{\text{o}}$TTS and It$\hat{\text{o}}$Wave: Linear Stochastic Differential Equation Is All You Need For Audio Generation. - Md Ashiqur Rahman, Beichuan Zhang:
On Data-centric Forwarding in Mobile Ad-hoc Networks: Baseline Design and Simulation Analysis. - Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. - Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. - Xinxin Liu, Tingting Yu:
A Complete Axiomatisation for Divergence Preserving Branching Congruence of Finite-State Behaviours. - Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis:
Sound Event Detection with Adaptive Frequency Selection. - Yaochen Zhu, Zhenzhong Chen:
Collaborative Variational Bandwidth Auto-encoder for Recommender Systems. - Feng Bao:
Disentangled Variational Information Bottleneck for Multiview Representation Learning. - Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
EasyFL: A Low-code Federated Learning Platform For Dummies. - Yanyan Dong, Sheng Jin, Yanzuo Chen, Shenghao Yang, Hoover H. F. Yin:
Utility Maximization for Multihop Wireless Networks Employing BATS Codes. - Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi:
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning. - Aimin Hou:
Hamiltonian Cycle Problem is in P. - Hoover H. F. Yin, Ka Hei Ng, Allen Z. Zhong, Raymond W. Yeung, Shenghao Yang, Ian Y. Y. Chan:
Intrablock Interleaving for Batched Network Coding with Blockwise Adaptive Recoding. - Xiaoyu Fan, Guosai Wang, Kun Chen, Xu He, Wei Xu:
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC). - Hoover H. F. Yin, Bin Tang, Ka Hei Ng, Shenghao Yang, Xishi Wang, Qiaoqiao Zhou:
A Unified Adaptive Recoding Framework for Batched Network Coding. - Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li:
Federated Knowledge Graphs Embedding. - Hoover H. F. Yin, Shenghao Yang, Qiaoqiao Zhou, Lily M. L. Yung, Ka Hei Ng:
BAR: Blockwise Adaptive Recoding for Batched Network Coding. - Kaustav Chatterjee, Nilanjan Ray Chaudhuri:
Dissipation of Oscillation Energy and Distribution of Damping Power in a Multimachine Power System: A Small-signal Analysis. - Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone:
APPL: Adaptive Planner Parameter Learning. - Sho Inoue, Tad Gonsalves:
Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks. - Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu:
Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation. - Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan:
Sentence Similarity Based on Contexts. - Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. - Kamala Gajurel, Cuncong Zhong, Guanghui Wang:
A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild. - Subhankar Ghosh:
Shared and Private VAEs with Generative Replay for Continual Learning. - André Artelt, Barbara Hammer:
Convex optimization for actionable \& plausible counterfactual explanations. - Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng:
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. - Sauptik Dhar, Bernardo Gonzalez Torres:
DOC3-Deep One Class Classification using Contradictions. - Pengyang Li, Yanan Li, Donghui Wang:
Class-Incremental Few-Shot Object Detection. - Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng:
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. - Manthan Patel, Aditya Bandopadhyay, Aamir Ahmad:
Collaborative Mapping of Archaeological Sites using multiple UAVs. - Giorgos Kordopatis-Zilos, Panagiotis Galopoulos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation. - Ling Cheng, Feida Zhu, Huiwen Liu, Chunyan Miao:
On Decentralization of Bitcoin: An Asset Perspective. - Yi Wei, Shang Su, Jiwen Lu, Jie Zhou:
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. - Jieting Luo, Beishui Liao, John-Jules Ch. Meyer:
A Formal Framework for Reasoning about Agents' Independence in Self-organizing Multi-agent Systems. - Róza Goscien:
Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks. - Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li:
Dependency Parsing as MRC-based Span-Span Prediction. - Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadeghi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott C. Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo:
Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity. - Neta Elad, Sophie Rain, Neil Immerman, Laura Kovács, Mooly Sagiv:
Summing Up Smart Transitions. - Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. - Bin Zhao, Maoguo Gong, Xuelong Li:
AudioVisual Video Summarization. - Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe:
Probabilistic robust linear quadratic regulators with Gaussian processes. - Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang:
Capacity Scalability of Line Networks with Batched Codes. - Chae-Eun Lee, Minyoung Chung, Yeong-Gil Shin:
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation. - Bin Zhao, Xuelong Li:
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation. - Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. - Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng:
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. - Anubhav Singh, Nir Lipovetzky, Miquel Ramírez, Javier Segovia-Aguas:
Approximate Novelty Search. - Christopher Battarbee, Delaram Kahrobaei, Siamak F. Shahandashti:
Cryptanalysis of Semidirect Product Key Exchange Using Matrices Over Non-Commutative Rings. - Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters:
Stochastic Control through Approximate Bayesian Input Inference. - Casper Hansen, Christian Hansen, Lucas Chaves Lima:
Automatic Fake News Detection: Are Models Learning to Reason? - Bar Sadeh, Yujie Gu, Itzhak Tamo:
Bounds on the Capacity of PIR over Graphs. - Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. - Muhammad Adil, Mian Ahmad Jan, Spyridon Mastorakis, Houbing Song, Muhammad Mohsin Jadoon, Safia Abbas, Ahmed Farouk:
Hash-MAC-DSDV: Mutual Authentication for Intelligent IoT-Based Cyber-Physical Systems. - Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. - Richie Yeung, Dimitri Kartsaklis:
A CCG-Based Version of the DisCoCat Framework. - Maha Driss, Daniah Hasan, Wadii Boulila, Jawad Ahmad:
Microservices in IoT Security: Current Solutions, Research Challenges, and Future Directions. - Derya Malak, Ali Tajer:
Distributed Computation over MAC via Kolmogorov-Arnold Representation. - Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain:
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19. - Drishti Jain, Tavpritesh Sethi:
The State of Infodemic on Twitter. - Julian Rasch, David Middelbeck:
Knowledge State Networks for Effective Skill Assessment in Atomic Learning. - Changpeng Shao:
A deterministic Kaczmarz algorithm for solving linear systems. - Behnaz Ranjbar, Ali Hoseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar:
Toward the Design of Fault-Tolerance- and Peak- Power-Aware Multi-Core Mixed-Criticality Systems. - Michael Murray, Vinayak Abrol, Jared Tanner:
Activation function design for deep networks: linearity and effective initialisation. - Anastasis Kratsios:
Universal Regular Conditional Distributions via Probability Measure-Valued Deep Neural Models. - Andrea Tilli, Elena Ruggiano, Alessandro Bosso, Alessandro Samorì:
Low-Input Accurate Periodic Motion of an Underactuated Mechanism: Mass Distribution and Nonlinear Spring Shaping. - Andrea Fronzetti Colladon, Francesca Grippa, Rosy Innarella:
Studying the association of online brand importance with museum visitors: An application of the semantic brand score. - Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding. - Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. - Kazuma Fujioka, Kimiaki Shirahama:
Generic Itemset Mining Based on Reinforcement Learning. - Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. - Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin:
Automated Biodesign Engineering by Abductive Meta-Interpretive Learning. - Victor G. Lopez, Mohammad Alsalti, Matthias A. Müller:
Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems. - Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Naseer Ahmad, Samantha Haycocks, David Gillespie, Moi Hoon Yap:
A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers. - Aleksandra Malkova, Loïc Pauletto, Christophe Villien, Benoît Denis, Massih-Reza Amini:
Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search. - Federico Milano:
Complex Frequency. - Théophile Chaumont-Frelet, Martin Vohralík:
$p$-robust equilibrated flux reconstruction in ${\boldsymbol H}(\mathrm{curl})$ based on local minimizations. Application to a posteriori analysis of the curl-curl problem. - Maria Naumcheva:
Deep Learning Models in Software Requirements Engineering. - Ramón A. Feenstra, Emilio Delgado López-Cózar:
Spanish philosophers perceptions of pay to publish and open access: books versus journals, more than a financial dilemma. - Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. - Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani:
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. - Bérenger Bramas:
A fast vectorized sorting implementation based on the ARM scalable vector extension (SVE). - Alexandros C. Dimopoulos, Christos Pavlatos, George K. Papakonstantinou:
Multi-output, multi-level, multi-gate design using non-linear programming. - Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher:
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks. - Boris Bonev, Jan S. Hesthaven:
A hierarchical preconditioner for wave problems in quasilinear complexity. - Rachit S. Munjal, Arun D. Prabhu, Nikhil Arora, Sukumar Moharana, Gopi Ramena:
STRIDE : Scene Text Recognition In-Device. - David R. Glowacki, Rhoslyn Roebuck Williams, Olivia M. Maynard, James E. Pike, Rachel Freire, Mark D. Wonnacott, Mike Chatziapostolou:
Dissolving yourself in connection to others: shared experiences of ego attenuation and connectedness during group VR experiences can be comparable to psychedelics. - Mona Fuhrländer, Sebastian Schöps:
Efficient yield optimization with limited gradient information. - Lin Wu, Teng Wang, Changyin Sun:
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
Designer-User Communication for XAI: An epistemological approach to discuss XAI design. - Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang:
Towards Demystifying Serverless Machine Learning Training. - Alexander Bauer, André Klima, Jana Gauß, Hannah Kümpel, Andreas Bender, Helmut Küchenhoff:
Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls. - Mehdi Dadvar, Soheil Habibian:
Contemporary Research Trends in Response Robotics. - Joana A. C. Castellar, Lucia Alexandra Popartan, Josep Pueyo-Ros, Natasa Atanasova, Gunter Langergraber, Ina Saumel, Lluís Corominas, Joaquim Comas, Vicenç Acuña:
Nature-based solutions in the urban context: terminology, classification and scoring for urban challenges and ecosystem services. - Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa:
Putting a Compass on the Map of Elections. - Malik Yousef, Jamal Al Qundus, Silvio Peikert, Adrian Paschke:
TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data. - Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin:
Compressed Communication for Distributed Training: Adaptive Methods and System. - Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. - Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu:
How to Explain Neural Networks: A perspective of data space division. - Karampudi Radha, Mekala Rohith:
An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers. - Yang Lu:
Digital Resistance during COVID-19: A Workflow Management System of Contactless Purchasing and Its Empirical Study of Customer Acceptance. - Prabath Chaminda Abeysiriwardana, Udith K. Jayasinghe-Mudalige, Saluka R. Kodituwakku:
"Connected Researches" in "Smart Lab Bubble": A Lifeline for Commercial Agriculture in "New Normal". - Bolu John Folayan, Olumide Samuel Ogunjobi, Prosper Zannu, Taiwo Ajibolu Balofin:
Post-war Civil War Propaganda Techniques and Media Spins in Nigeria and Journalism Practice. - David Leslie, Anjali Mazumder, Aidan Peppin, Maria Wolters, Alexa Hagerty:
Does "AI" stand for augmenting inequality in the era of covid-19 healthcare? - Yasir Kilic:
Shared data granularity: A latent dimension of privacy scoring over online social networks. - Beatrice Alex, Clare Llewellyn, Pawel Michal Orzechowski, Maria Boutchkova:
The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges. - Manex Agirrezabal:
The Flipped Classroom model for teaching Conditional Random Fields in an NLP course. - Bryce Goodman:
Hard Choices and Hard Limits for Artificial Intelligence. - Filipo Sharevski, Anna Slowinski, Peter Jachim, Emma Pieroni:
"Hey Alexa, What do You Know About the COVID-19 Vaccine?" - (Mis)perceptions of Mass Immunization Among Voice Assistant Users. - Swarajya Lakshmi V. Papineni, A. Mallikarjuna Reddy, Sudeepti Yarlagadda, Snigdha Yarlagadda, Haritha Akkineni:
An Extensive Analytical Approach on Human Resources using Random Forest Algorithm. - Edward Simmons:
Correlations Between Learning Environments and Dropout Intention. - Abbas Najafizadeh, Maryam Saadati, S. Mahdi Jamei, S. Shervin Ostadzadeh:
An Enterprise Architecture Framework for E-learning. - Mahbub Hasan, Al-Emran:
Optimal Group Formulation Using Machine Learning. - Ashitha Ganapathy, Michael Timothy Bennett:
Cybernetics and the Future of Work. - Reda Mastouri:
The challenges and realities of retailing in a COVID-19 world: Identifying trending and Vital During Crisis keywords during Covid-19 using Machine Learning (Austria as a case study). - Vyacheslav I. Yukalov:
Quantum Uncertainty in Decision Theory. - Gargi Joshi, Rahee Walambe, Ketan Kotecha:
A Review on Explainability in Multimodal Deep Neural Nets. - Hadi Esmaeilzadeh, Reza Vaezi:
Conscious AI. - Benjamin Rech, Matthias Meyer:
Plattformen und neue Technologien im Journalismus: Ergebnisse einer Online-Befragung von Journalistinnen und Journalisten in Deutschland. - Amin Coja-Oghlan, Max Hahn-Klimroth, Philipp Loick, Manuel Penschuck:
Efficient and accurate group testing via Belief Propagation: an empirical study. - Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. - Rak-Kyeong Seong, Jaeho Yang, Sang-Hoon Han:
Topology for Substrate Routing in Semiconductor Package Design. - Stephanie Kirmse, Lucio Flavio Campanile, Alexander Hasse:
Topology-optimization based design of multi-degree-of-freedom compliant mechanisms (mechanisms with multiple pseudo-mobility). - Ruben Rodriguez Torrado, Pablo Ruiz, Luis Cueto-Felgueroso, Michael Cerny Green, Tyler Friesen, Sebastien Matringe, Julian Togelius:
Physics-informed attention-based neural network for solving non-linear partial differential equations. - Kazuma Tsuji, Ken'ichiro Tanaka:
Acceleration of the kernel herding algorithm by improved gradient approximation. - Nanyang Yang, Yi Wang, Lap-Pui Chau:
Multi-object Tracking with Tracked Object Bounding Box Association. - David Álvarez, Kevin Sala, Marcos Maroñas, Aleix Roca, Vicenç Beltran:
Advanced Synchronization Techniques for Task-based Runtime Systems. - Nils Holzenberger, Benjamin Van Durme:
Factoring Statutory Reasoning as Language Understanding Challenges. - Sen Zhan, Peng Hou, Guangya Yang:
Distributionally Robust Chance-Constrained Flexibility Planning for Integrated Energy System. - Junhao Zeng, Qingchun Zhang, Ning Xie, Bochun Yang:
Application of Deep Self-Attention in Knowledge Tracing. - Kuan Xuan, Yongbo Wang, Yongliang Wang, Zujie Wen, Yang Dong:
SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising. - Weiquan Huang, Yan Bai, Qiuyu Ren, Xinbo Zhao, Ming Feng, Yin Wang:
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning. - Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes:
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet. - Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, Volker Markl:
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. - Carlos Beltrán, Laurent Bétermin, Peter Grabner, Stefan Steinerberger:
How well-conditioned can the eigenvalue problem be? - Yuan Cao, Yonglin Cao, Fanghui Ma:
Construction and enumeration of left dihedral codes satisfying certain duality properties. - Francesca Tantardini, Rüdiger Verfürth:
Quasi-monotonicity and Robust Localization with Continuous Piecewise Polynomials. - Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue:
Towards Robust Vision Transformer. - Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani:
Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations. - Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin:
Mean Field Games Flock! The Reinforcement Learning Way. - Narges Mehran, Dragi Kimovski, Radu Prodan:
A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum. - Paul B. Kantor, Dennis E. Egan, Jonathan M. Bullinger, Katie McKeon, James Wojtowicz:
Confidence Assertions in Cyber-Security for an Information-Sharing Environment. - Sara Kaszuba, Sandeep Reddy Sabbella, Vincenzo Suriani, Francesco Riccio, Daniele Nardi:
RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms. - Tingting Bi, Peng Liang, Antony Tang, Xin Xia:
Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow. - Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang:
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. - Federico Mason, Gianfranco Nencioni, Andrea Zanella:
Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario. - Thomas Britton, David Lawrence, Kishansingh Rajput:
AI Enabled Data Quality Monitoring with Hydra. - Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne H. Ward, James H. Martin, Tamara Sumner:
Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application. - Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun Güvenç, Levent Güvenç:
Pedestrian Path Modification Mobile Tool for COVID-19 Social Distancing for Use in Multi-Modal Trip Navigation. - Yuanpeng He:
MMGET: A Markov model for generalized evidence theory. - Daniel Tanneberg, Elmar Rueckert, Jan Peters:
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers. - Kiran Tomlinson, Johan Ugander, Austin R. Benson:
Choice Set Confounding in Discrete Choice. - Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben:
Behavior-based Neuroevolutionary Training in Reinforcement Learning. - Stephan Mohr, Yuji Nakatsukasa, Carolina Urzúa-Torres:
Full operator preconditioning and the accuracy of solving linear systems. - Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. - Santhanakrishnan Anand, Ofer Arazy, Narayan B. Mandayam, Oded Nov:
A Game-Theoretic Analysis of Competitive Editing in Wikipedia: Contributors' Effort to Influence Articles and the Community's Attempt to Ensure Neutrality. - David L. Rhodes, Breanna N. Johnson:
A New Vertex Connectivity Metric. - Iain Mackie, Jeff Dalton, Andrew Yates:
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. - Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer:
Unknown-box Approximation to Improve Optical Character Recognition Performance. - Franziska Boenisch, Philip Sperl, Konstantin Böttinger:
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. - J. Javier Yebes, David Montero, Ignacio Arriola:
Learning to Automatically Catch Potholes in Worldwide Road Scene Images. - Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan:
Learning User Embeddings from Temporal Social Media Data: A Survey. - Irina Kostitsyna, Irene Parada, Willem Sonke, Bettina Speckmann, Jules Wulms:
Compacting Squares. - Swagat Kumar:
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial. - Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou:
Learning a Latent Simplex in Input-Sparsity Time. - Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. - Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Supporting Context Monotonicity Abstractions in Neural NLI Models. - Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas:
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects. - Patrícia Matsubara, Igor Steinmacher, Bruno Gadelha, Tayana Conte:
Buying time in software development: how estimates become commitments? - Qingyun Wang, Semih Yavuz, Victoria Lin, Heng Ji, Nazneen Fatema Rajani:
Stage-wise Fine-tuning for Graph-to-Text Generation. - Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei:
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. - MeiXing Dong, Xueming Xu, Yiwei Zhang, Ian Stewart, Rada Mihalcea:
Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media. - Carl Folkestad, Joel W. Burdick:
Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems. - Haotian Gu, Xin Guo:
An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis. - Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani:
Fine-grained Interpretation and Causation Analysis in Deep NLP Models. - Jonas Israel, Markus Brill:
Dynamic Proportional Rankings. - Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg:
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services. - Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le:
Pay Attention to MLPs. - Soumyadip Sengupta, Brian Curless, Ira Kemelmacher-Shlizerman, Steven M. Seitz:
A Light Stage on Every Desk. - Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick:
The Boombox: Visual Reconstruction from Acoustic Vibrations. - Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun:
Algorithm-Agnostic Explainability for Unsupervised Clustering. - Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord:
Divide and Contrast: Self-supervised Learning from Uncurated Data. - Bryar Ahmad Hassan:
Analysis for the Overwhelming Success of the Web Compared to Microcosm and Hyper-G Systems. - Vladlen Koltun, David Hafner:
A Measure of Research Taste. - Gaurav Batra, Naresh Manwani:
Multiclass Classification using dilute bandit feedback. - Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh:
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. - Luca Arnaboldi, Charles Morisset:
A Review of Intrusion Detection Systems and Their Evaluation in the IoT. - Alexander Fedorov, Nikita Koval, Dan Alistarh:
A Scalable Concurrent Algorithm for Dynamic Connectivity. - Nishanth Anandanadarajah, Chee-Hung Henry Chu, Rasiah Loganantharaj:
An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. - Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta:
Discovery and Contextual Data Cleaning with Ontology Functional Dependencies. - Hiba Ahsan, Nikita Bhalla, Daivat Bhatt, Kaivankumar Shah:
Multi-Modal Image Captioning for the Visually Impaired. - Yangming Zhao, Chunming Qiao:
Quantum Transport Protocols for Distributed Quantum Computing. - Guangzhao Cheng, Siliang Tang:
To be a fast adaptive learner: using game history to defeat opponents. - Thomas Schumacher:
Livewired Neural Networks: Making Neurons That Fire Together Wire Together. - Yohai Reani, Omer Bobrowski:
A Coupled Alpha Complex. - Jun-Woo Tak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No:
Weakly Private Information Retrieval Under Rényi Divergence. - Eduardo Fernández, Can Ayas, Matthijs Langelaar, Pierre Duysinx:
Topology Optimization for Large-Scale Additive Manufacturing: Generating designs tailored to the deposition nozzle size. - Xie Xie:
A Neat Linked Queue with the Rear Sentinel. - Manolis Antonoyiannakis:
Does publicity in the science press drive citations? A vindication of peer review. - Sergey Afanasiev, Anastasiya Smirnova, Diana Kotereva:
Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection. - Xinlei Chen, Moosa Moghimi Haji, Omid Ardakanian:
A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation. - Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu:
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations. - Steven Chaplick, Giordano Da Lozzo, Emilio Di Giacomo, Giuseppe Liotta, Fabrizio Montecchiani:
Planar Drawings with Few Slopes of Halin Graphs and Nested Pseudotrees. - Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. - Luke Melas-Kyriazi, Arjun K. Manrai:
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. - Bryar Ahmad Hassan, Shko M. Qader:
A New Framework to Adopt Multidimensional Databases for Organizational Information System Strategies. - (Withdrawn) Structured condition numbers for the total least squares problem with linear equality constraint and their statistical estimation.
- Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. - Srijan Das, Rui Dai, Di Yang, François Brémond:
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living. - Pierre-François Massiani, Steve Heim, Sebastian Trimpe:
On exploration requirements for learning safety constraints. - Neset Ünver Akmandor, Taskin Padir:
Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories. - Yiqun Yao, Michalis Papakostas, Mihai Burzo, Mohamed Abouelenien, Rada Mihalcea:
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task. - Ryleigh A. Moore, Akil Narayan:
Adaptive Density Tracking by Quadrature for Stochastic Differential Equations. - Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep Metric Learning for Few-Shot Image Classification: A Selective Review. - Philip I. Pavlik Jr., Luke G. Eglington:
Modeling the EdNet Dataset with Logistic Regression. - Jéferson Campos Nobre, Lisandro Zambenedetti Granville, Alberto Gonzalez Prieto, Alexander Clemm:
On Using P2P Technology for Decentralized Detection of Service Level Agreement Violations. - Carolyn Matl, Josephine Koe, Ruzena Bajcsy:
StRETcH: a Soft to Resistive Elastic Tactile Hand. - Patricia Johann, Enrico Ghiorzi, Daniel Jeffries:
(Deep) Induction Rules for GADTs. - Tao Li, Guanze Peng, Quanyan Zhu, Tamer Basar:
The Confluence of Networks, Games and Learning. - R. Park:
A comparison of six numerical methods for integrating a compartmental Hodgkin-Huxley type model. - Vivek Jayaram, John Thickstun:
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. - Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning, Sajal K. Das, Chris D. Nugent, Devin Burns, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White:
Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic. - Zixu Zhang, Jaime F. Fisac:
Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception. - Yukai Gong, Jessy W. Grizzle:
Zero Dynamics, Pendulum Models, and Angular Momentum in Feedback Control of Bipedal Locomotion. - Hsien-Yu Meng, Zhenyu Tang, Dinesh Manocha:
Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding. - Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. - Hao Yan, Nurrettin Dorukhan Sergin, William A. Brenneman, Stephen Joseph Lange, Shan Ba:
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems. - Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. - Rafal Muszynski, Katja Hofmann, Jun Wang:
Learning to Win, Lose and Cooperate through Reward Signal Evolution. - Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Marcel Worring, Nachoem Wijnberg:
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. - Gangadharan Esakki, Andreas Panayides, Venkatesh Jatla, Marios Pattichis:
Adaptive Video Encoding For Different Video Codecs. - Brian L. Davis, Bryan S. Morse, Brian L. Price, Chris Tensmeyer, Curtis Wigington:
Visual FUDGE: Form Understanding via Dynamic Graph Editing. - Samuel Daulton, Maximilian Balandat, Eytan Bakshy:
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement. - Akarsh Kumar, Aditya R. Vaidya, Alexander G. Huth:
Physically Plausible Pose Refinement using Fully Differentiable Forces. - Wolfgang Mauerer, Mitchell Joblin, Damian A. Tamburri, Carlos V. Paradis, Rick Kazman, Sven Apel:
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. - Maggie K. Delano:
Teaching Inclusive Engineering Design at a Small Liberal Arts College. - Sajad Darabi, Yotam Elor:
Synthesising Multi-Modal Minority Samples for Tabular Data. - Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. - Machel Reid, Victor Zhong:
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. - Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev:
BookSum: A Collection of Datasets for Long-form Narrative Summarization. - Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu:
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception. - Meisin Lee, Lay-Ki Soon, Eu-Gene Siew, Ly Fie Sugianto:
The Commodities News Corpus: A Resource forUnderstanding Commodity News Better. - Amit Chakrabarti, Prantar Ghosh, Andrew McGregor, Sofya Vorotnikova:
Vertex Ordering Problems in Directed Graph Streams. - Amogh Agrawal, Mustafa Fayez Ali, Minsuk Koo, Nitin Rathi, Akhilesh Jaiswal, Kaushik Roy:
IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks. - Chen Zhang, Yinghao Xu, Yujun Shen:
Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks. - Yupeng Ren, Yulong Xing, Jianxian Qiu:
High order finite difference Hermite WENO fixed-point fast sweeping method for static Hamilton-Jacobi equations. - Gordon A. Christie, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown:
Single View Geocentric Pose in the Wild. - Alexandru Baltag, Nick Bezhanishvili, David Fernández-Duque:
The Topological Mu-Calculus: completeness and decidability. - Gang Qiao, Weijie J. Su, Li Zhang:
Oneshot Differentially Private Top-k Selection. - Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song:
Towards Unsupervised Sketch-based Image Retrieval. - Yangjie Qi, Shuo Zhang, Tarek M. Taha:
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators. - DiJia Andy Su, Difei Su, John M. Mulvey, H. Vincent Poor:
PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies. - Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. - Ruibo Li, Guosheng Lin, Lihua Xie:
Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk. - Hao Jiang, Yutao Zhu, Xinyu Zhang, Zhicheng Dou, Pan Du, Te Pi, Yantao Jia:
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator. - Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu:
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching. - Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tu Tuan Trinh, Makoto Iida, Takeshi Naemura:
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach. - Brent Yi, Michelle A. Lee, Alina Kloss, Roberto Martín-Martín, Jeannette Bohg:
Differentiable Factor Graph Optimization for Learning Smoothers. - Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
KECRS: Towards Knowledge-Enriched Conversational Recommendation System. - Yansheng Wu, Jong Yoon Hyun, Yoonjin Lee:
New LCD MDS codes of non-Reed-Solomon type. - Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier:
Label Inference Attacks from Log-loss Scores. - Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha:
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. - Qing Guo, Felix Juefei-Xu, Changqing Zhou, Yang Liu, Song Wang:
Sparta: Spatially Attentive and Adversarially Robust Activation. - Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo:
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale. - Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. - Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Route via Theory-Guided Residual Network. - Cheng Lyu, Youwei Jia, Zhao Xu:
Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network. - Parul Khurana, Kiran Sharma:
Impact of $h$-index on authors ranking: An improvement to the h-index for lower-ranked author. - Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu:
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing. - Jinming Su, Changqun Xia, Jia Li:
Exploring Driving-aware Salient Object Detection via Knowledge Transfer. - Wenjin Xie, Xiaomeng Wang, Tao Jia:
Independent Asymmetric Embedding Model for Cascade Prediction on Social Network. - Linda Cai, Raghuvansh R. Saxena:
99% Revenue with Constant Enhanced Competition. - Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. - Zachary Abel, Hugo A. Akitaya, Man-Kwun Chiu, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Matias Korman, Jayson Lynch, André van Renssen, Marcel Roeloffzen:
Snipperclips: Cutting Tools into Desired Polygons using Themselves. - Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh:
Sample Efficient Linear Meta-Learning by Alternating Minimization. - K. S. Ajish Kumar, Birenjith Sasidharan, K. S. Sudeep:
On Oriented Diameter of $(n, k)$-Star Graphs. - Dave Cliff:
BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling. - Elena Vladislavivna Strzheletska, Vassilis J. Tsotras:
Reachability and Top-k Reachability Queries with Transfer Decay. - Junhao Hua, Ling Yan, Huan Xu, Cheng Yang:
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach. - Ana Isabel Garralda-Guillem, Pablo Montiel López:
Numerical Solution for an Inverse Variational Problem. - Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang:
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. - Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang:
Zero-Shot Recommender Systems. - Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar:
Can Self Reported Symptoms Predict Daily COVID-19 Cases? - Weihua Wu, Runzi Liu, Qinghai Yang, Tony Q. S. Quek:
Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network. - Wisdom C. Agboh, Mehmet Remzi Dogar:
Robust Physics-Based Manipulation by Interleaving Open and Closed-Loop Execution. - Maurice Funk, Jean Christoph Jung, Carsten Lutz:
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies. - Jonah Siekmann, Kevin Green, John Warila, Alan Fern, Jonathan W. Hurst:
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning. - Huixuan Chi, Yuying Wang, Qinfen Hao, Hong Xia:
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks. - Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche:
Interference-free Walks in Time: Temporally Disjoint Paths. - Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han:
Exemplar-Based Open-Set Panoptic Segmentation Network. - Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
DRIVE: One-bit Distributed Mean Estimation. - Wenfa Qi, Wei Hu, Sirui Guo, Zongming Guo, Xiang Wang:
Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding. - Thomas A. Henzinger, N. Ege Saraç:
Quantitative and Approximate Monitoring. - Martín Ríos-Wilson, Guillaume Theyssier:
On Symmetry versus Asynchronism: at the Edge of Universality in Automata Networks. - Lê Thành Dung Nguyên, Camille Noûs, Cécilia Pradic:
Comparison-free polyregular functions. - Saloni Dash, Dibyendu Mishra, Gazal Shekhawat, Joyojeet Pal:
Divided We Rule: Influencer Polarization on Twitter During Political Crises in India. - Xinwei Zhang, Guyue Li, Junqing Zhang, Aiqun Hu, Zongyue Hou, Bin Xiao:
Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems. - Jessica Bariffi, Hannes Bartz, Gianluigi Liva, Joachim Rosenthal:
Analysis of Low-Density Parity-Check Codes over Finite Integer Rings for the Lee Channel. - Amirreza Farahani, Laura Genga, Remco M. Dijkman:
Online Multimodal Transportation Planning using Deep Reinforcement Learning. - Niclas Boehmer, Robert Bredereck, Dusan Knop, Junjie Luo:
Fine-Grained View on Bribery for Group Identification. - Chuhui Xue, Shijian Lu, Song Bai, Wenqing Zhang, Changhu Wang:
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. - Selene Baez Santamaría, Thomas Baier, Taewoon Kim, Lea Krause, Jaap Kruijt, Piek Vossen:
EMISSOR: A platform for capturing multimodal interactions as Episodic Memories and Interpretations with Situated Scenario-based Ontological References. - Xingyu Pan, Xuanhui Xu, Soumyabrata Dev, Abraham G. Campbell:
3D Displays: Their Evolution, Inherent Challenges & Future Perspectives. - Shengfei Lyu, Huanhuan Chen:
Relation Classification with Entity Type Restriction. - Nikos Fotiou, Vasilios A. Siris, George C. Polyzos:
Enabling self-verifiable mutable content items in IPFS using Decentralized Identifiers. - Wenkai Li, Wenbo Hu, Ning Chen, Cheng Feng:
Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection. - Kaja Balzereit, Oliver Niggemann:
Reconfiguring Hybrid Systems Using SAT. - Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard:
Relative Positional Encoding for Transformers with Linear Complexity. - Leon Bungert, Martin Burger:
Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions. - Manfred Scheucher:
A SAT attack on higher dimensional Erdős-Szekeres numbers. - Iván García, Rafael Marcos Luque, Ezequiel López-Rubio:
Improved detection of small objects in road network sequences. - Rogier van de Wetering, Patrick Mikalef, Adamantia G. Pateli:
Strategic alignment between IT flexibility and dynamic capabilities: an empirical investigation. - Vijaya Yajnanarayana, Dongdong Huang, Deep Shrestha, Yi Geng, Ali Behravan, Erik Dahlman:
AI Based Landscape Sensing Using Radio Signals. - Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. - Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Roland Krumm, Madjid Fathi:
Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry. - Kyra Ahrens, Fares Abawi, Stefan Wermter:
DRILL: Dynamic Representations for Imbalanced Lifelong Learning. - Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu:
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques. - Parastoo Akbari, Atefeh Ziaei, Hamed Azarnoush:
Deep Active Contours Using Locally Controlled Distance Vector Flow. - Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. - Yuval Shahar, Matan Lion:
Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records. - Simon Yusuf Enoch, Mengmeng Ge, Jin B. Hong, Dong Seong Kim:
Model-based Cybersecurity Analysis: Past Work and Future Directions. - Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. - Kangquan Li, Yue Zhou, Chunlei Li, Longjiang Qu:
Two new infinite classes of APN functions. - Liao Wu, Fangwen Yu, Jiaole Wang, Thanh Nho Do:
Camera Frame Misalignment in a Teleoperated Eye-in-Hand Robot: Effects and a Simple Correction Method. - Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao:
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. - Lorenz K. Müller:
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement. - Matías R. Bender, Simon Telen:
Yet another eigenvalue algorithm for solving polynomial systems. - Fredrik Dahlqvist, Renato Neves:
An Internal Language for Categories Enriched over Generalised Metric Spaces. - Katya Klinova, Anton Korinek:
AI and Shared Prosperity. - Quan Wang, Haifeng Wang, Yajuan Lyu, Yong Zhu:
Link Prediction on N-ary Relational Facts: A Graph-based Approach. - Emil Björnson, Luca Sanguinetti:
Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces. - Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Parallel Attention Network with Sequence Matching for Video Grounding. - Miguel González Duque, Rasmus Berg Palm, Sebastian Risi:
Fast Game Content Adaptation Through Bayesian-based Player Modelling. - Blake VanBerlo, Matthew A. S. Ross, Daniel Hsia:
Univariate Long-Term Municipal Water Demand Forecasting. - Daniele Meli, Paolo Fiorini:
Unsupervised identification of surgical robotic actions from small non homogeneous datasets. - Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen:
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. - Isolde Adler, Noleen Köhler, Pan Peng:
GSF-locality is not sufficient for proximity-oblivious testing. - Zhenyu Kang, Changsheng You, Rui Zhang:
IRS-Aided Wireless Relaying: Optimal Deployment and Capacity Scaling. - Koichi Ito, Filip Biljecki:
Assessing bikeability with street view imagery and computer vision. - Wei Wei, Yongkang Luo, Fuyu Li, Guangyun Xu, Jun Zhong, Wanyi Li, Peng Wang:
GPR: Grasp Pose Refinement Network for Cluttered Scenes. - Mathias Müller, Rico Sennrich:
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation. - Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi, Hossein Soleimani, Homayoon Oraizi, Mohammad Soleimani:
A deep learning approach for inverse design of the metasurface for dual-polarized waves. - Josimar Edinson Chire Saire, José Armando Gastelo Roque, Franco Canziani:
Study of a Hybrid Photovoltaic-Wind Smart Microgrid using Data Science Approach. - Chris Xing Tian, Haoliang Li, Yufei Wang, Shiqi Wang:
Privacy-Preserving Constrained Domain Generalization for Medical Image Classification. - Jan Decuyper, Koen Tiels, Siep Weiland, Johan Schoukens:
Decoupling multivariate functions using a non-parametric Filtered CPD approach. - Farid Arthaud, Guillaume Lecoeur, Alban Pierre:
Transformers à Grande Vitesse. - Jan Decuyper, Koen Tiels, Johan Schoukens:
PNLSS Toolbox 1.0. - Kai Jia:
SANM: A Symbolic Asymptotic Numerical Solver with Applications in Mesh Deformation. - Mayank Jain, Tarek AlSkaif, Soumyabrata Dev:
A Clustering Framework for Residential Electric Demand Profiles. - Zack Fitzsimmons, Edith Hemaspaandra:
Kemeny Consensus Complexity. - Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer:
DACBench: A Benchmark Library for Dynamic Algorithm Configuration. - Wallace Camacho, Cristina Dias:
Visoes da Industria 4.0. - Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue:
Partitioned Active Learning for Heterogeneous Systems. - Maël Dumas, Anthony Perez, Ioan Todinca:
A cubic vertex-kernel for Trivially Perfect Editing. - Marc C. Green, Mark D. Plumbley:
Federated Learning With Highly Imbalanced Audio Data. - Slawomir Lasota:
Improved Ackermannian lower bound for the VASS reachability problem. - David Doty, Aaron Ong:
Simulating 3-symbol Turing machines with SIMD||DNA. - Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu:
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View. - Auguste Lehuger, Matthew Crosby:
Fixed β-VAE Encoding for Curious Exploration in Complex 3D Environments. - Yiling Chen, Biaoshuai Tao, Fang-Yi Yu:
Cooperation in Threshold Public Projects with Binary Actions. - Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin:
Dependent Multi-Task Learning with Causal Intervention for Image Captioning. - Wen Wu, Conghao Zhou, Mushu Li, Huaqing Wu, Haibo Zhou, Ning Zhang, Xuemin Shen, Weihua Zhuang:
AI-Native Network Slicing for 6G Networks. - Waldo Gálvez, Fabrizio Grandoni, Afrouz Jabal Ameli, Kamyar Khodamoradi:
Approximation Algorithms for Demand Strip Packing. - Vaibhav Kasturia, Marcel Gohsen, Matthias Hagen:
Entity-Based Query Interpretation. - Rowel Atienza:
Vision Transformer for Fast and Efficient Scene Text Recognition. - Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. - Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira:
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. - Leila Karimi, Mai Abdelhakim, James Joshi:
Adaptive ABAC Policy Learning: A Reinforcement Learning Approach. - Dao Thanh Hai, Le Anh Ngoc:
A pragmatic approach for designing transparent WDM optical networks with multi-objectives. - Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair:
Self-interpretable Convolutional Neural Networks for Text Classification. - Kai Wang, Luis Herranz, Joost van de Weijer:
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay. - Mohammed Ibrahim, Susan Gauch, Tyler Gerth, Brandon Cox:
WOVe: Incorporating Word Order in GloVe Word Embeddings. - Federica Bologna, Angelo Di Iorio, Silvio Peroni, Francesco Poggi:
Can we assess research using open scientific knowledge graphs? A case study within the Italian National Scientific Qualification. - Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. - Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing:
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data. - Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick D. McDaniel:
On the Robustness of Domain Constraints. - Thorben Funke, Megha Khosla, Avishek Anand:
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. - Saket Adhau, Siddesh Dani, Deepak Ingole, Dayaram N. Sonawane:
Embedded Model Predictive Controller on Low-Cost Low-End Microcontroller for Electrical Drives. - Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang:
Stylized Story Generation with Style-Guided Planning. - Mingyu Wang, Cheng Qian, Enrico Di Lorenzo, Luis J. Gomez, Vladimir Okhmatovski, Abdulkadir C. Yucel:
SuperVoxHenry Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures. - Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong:
Butterfly-Core Community Search over Labeled Graphs. - Huili Chen, Cynthia Breazeal:
Toward Designing Social Human-Robot Interactions for Deep Space Exploration. - Gonzalo Sáez-Mischlich, Javier Sierra-Ausín, Jérémie Gressier:
The Spectral Difference Raviart-Thomas method for two and three-dimensional elements and its connection with the Flux Reconstruction formulation. - Justin A. Sirignano, Jonathan F. MacArt, Konstantinos Spiliopoulos:
PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence. - Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing aesthetics of generated abstract images using correlation structure. - Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying:
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework. - Long N. Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James T. Anibal, Alec Peltekian, Yanfang Ye:
CoTexT: Multi-task Learning with Code-Text Transformer. - Javier Lorenzo, Ignacio Parra, Miguel Ángel Sotelo:
IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture. - Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. - Azin Shamshirgaran, Hamed Javidi, Dan Simon:
Evolutionary Algorithms for Multi-Objective Optimization of Drone Controller Parameters. - Sahil Khose, Abhiraj Tiwari, Ankita Ghosh:
Semi-Supervised Classification and Segmentation on High Resolution Aerial Images. - Ambareesh Ravi, Amith Nandakumar:
A multimodal deep learning framework for scalable content based visual media retrieval. - Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu:
Sparsity Prior Regularized Q-learning for Sparse Action Tasks. - Kyra Yee, Uthaipon Tantipongpipat, Shubhanshu Mishra:
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency. - JunKyu Lee, Blesson Varghese, Roger F. Woods, Hans Vandierendonck:
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge. - Vladimir Vovk:
Enhancement of prediction algorithms by betting. - Jiahui Geng, Neel Kanwal, Martin Gilje Jaatun, Chunming Rong:
DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities. - Vincent Froese, Christoph Hertrich, Rolf Niedermeier:
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality. - Jake Witter, Conor J. Houghton:
A note on the unbiased estimation of mutual information. - Sumit Pai, Luca Costabello:
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes. - Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar:
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. - Sriram Bhyravarapu, Tim A. Hartmann, Subrahmanyam Kalyanasundaram, I. Vinod Reddy:
Conflict-Free Coloring: Graphs of Bounded Clique Width and Intersection Graphs. - Zhujun Xiao, Zhengxu Xia, Haitao Zheng, Ben Y. Zhao, Junchen Jiang:
Towards Performance Clarity of Edge Video Analytics. - T. A. Barrett, Henderik A. Proper:
Component Based Solutions Under Architecture. - Mert Keser, Artem Savkin, Federico Tombari:
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation. - Gal Sela, Erez Petrank:
Durable Queues: The Second Amendment. - Michele Loreti, Michela Quadrini:
A Spatial Logic for a Simplicial Complex Model. - Ji Gao, Amin Karbasi, Mohammad Mahmoody:
Learning and Certification under Instance-targeted Poisoning. - Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio:
Fast and Slow Learning of Recurrent Independent Mechanisms. - Asmit De, Swaroop Ghosh:
HeapSafe: Securing Unprotected Heaps in RISC-V. - Karim Banawan, Ahmed Arafa, Sennur Ulukus:
Timely Private Information Retrieval. - Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell:
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. - Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, Angela Bartolo:
Human Motion Prediction Using Manifold-Aware Wasserstein GAN. - Peter D. Bruza, Henderik A. Proper:
Discovering the Information that is lost in our Databases - Why bother storing data if you can't find the information? - Josep Soler Garrido, Dominik Dold, Johannes Frank:
Machine learning on knowledge graphs for context-aware security monitoring. - E. Viridiana Vazquez-Carmona, Juan Irving Vasquez-Gomez, Juan Carlos Herrera-Lozada, Mayra Antonio-Cruz:
Coverage Path Planning for Spraying Drones. - Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada:
Learning to Act Safely with Limited Exposure and Almost Sure Certainty. - Thomas Scheidsteger, Robin Haunschild, Lutz Bornmann, Christoph Ettl:
Quantum technology 2.0 - topics and contributing countries from 1980 to 2018. - Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Pathdreamer: A World Model for Indoor Navigation. - Vineet Kumar, David Krackhardt, Scott Feld:
Interventions with Inversity in Unknown Networks Can Help Regulate Contagion. - Leah Epstein, Loay Mualem:
Online bin packing of squares and cubes. - Weijian Zheng, Dali Wang, Fengguang Song:
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems. - Xianping Li, Matthew McCoy:
Moving Mesh with Streamline Upwind Petrov-Galerkin (MM-SUPG) Method for Convection-Diffusion Problems. - Raphael Kruse, Rico Weiske:
The BDF2-Maruyama Scheme for Stochastic Evolution Equations with Monotone Drift. - Neil Walton, Kuang Xu:
Learning and Information in Stochastic Networks and Queues. - Gil Einziger, Ohad Eytan, Roy Friedman, Benjamin Manes:
Lightweight Robust Size Aware Cache Management. - Bianca Trinkenreich, Igor Wiese, Anita Sarma, Marco Aurélio Gerosa, Igor Steinmacher:
Women's Participation in Open Source Software: A Survey of the Literature. - B. R. Vinay Kumar, Navin Kashyap, D. Yogeshwaran:
An Analysis of Probabilistic Forwarding of Coded Packets on Random Geometric Graphs. - Abhinandan Desai, Kai North, Marcos Zampieri, Christopher M. Homan:
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction. - Yuanpeng He:
Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise. - Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar:
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects. - Muhammad Maaz, Hanoona Abdul Rasheed, Dhanalaxmi Gaddam:
Self-Supervised Learning for Fine-Grained Visual Categorization. - Bianca Trinkenreich, Mariam Guizani, Igor Wiese, Tayana Conte, Marco Aurélio Gerosa, Anita Sarma, Igor Steinmacher:
The Pot of Gold at the End of the Rainbow: What is Success for Open Source Contributors? - Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye:
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. - Hyunsoo Cho, Jinseok Seol, Sang-goo Lee:
Masked Contrastive Learning for Anomaly Detection. - Aleksei Zhuchkov:
Analyzing the effectiveness of image augmentations for face recognition from limited data. - Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang:
A fast Petrov-Galerkin spectral method for the multi-dimensional Boltzmann equation using mapped Chebyshev functions. - Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing. - Youshan Zhang, Brian D. Davison:
Correlated Adversarial Joint Discrepancy Adaptation Network. - Fatma S. Abousaleh, Wen-Huang Cheng, Neng-Hao Yu, Yu Tsao:
Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media. - Nicolas Perez Nieves, Dan F. M. Goodman:
Sparse Spiking Gradient Descent. - Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahatani:
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource. - Shiqin Liu, Carl Higgs, Jonathan Arundel, Geoff Boeing, Nicholas Cerdera, David Moctezuma, Ester Cerin, Deepti Adlakha, Melanie Lowe, Billie Giles-Corti:
A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data. - Jianfeng Fu, Alfredo Núñez, Bart De Schutter:
A real-time distributed post-disaster restoration planning strategy for distribution networks. - Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks:
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. - Ruijing Yang, Ziyu Guan, Zitong Yu, Guoying Zhao, Xiaoyi Feng, Jinye Peng:
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction. - Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer:
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention. - Shruti Phadke, Tanushree Mitra:
Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements. - Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska:
LEA: A Learned Encoding Advisor for Column Stores. - Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli:
Meta-Reinforcement Learning by Tracking Task Non-stationarity. - Sachini Herath, Saghar Irandoust, Bowen Chen, Yiming Qian, Pyojin Kim, Yasutaka Furukawa:
Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments. - R. Pito Salas:
Teaching Continuity in Robotics Labs in the Age of Covid and Beyond. - Yunhao Yang, Zhaokun Xue:
Representation Learning in Sequence to Sequence Tasks: Multi-filter Gaussian Mixture Autoencoder. - Fabian Singhofer, Aygul Garifullina, Mathias Kern, Ansgar Scherp:
rx-anon - A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm. - Robin Henry, Damien Ernst:
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. - Michael Madaio, Su Lin Blodgett, Elijah Mayfield, Ezekiel Dixon-Román:
Confronting Structural Inequities in AI for Education. - Kaiser Sun, Ana Marasovic:
Effective Attention Sheds Light On Interpretability. - Robert I. Saye:
High-Order Quadrature on Multi-Component Domains Implicitly Defined by Multivariate Polynomials. - Krishan Sharma, Shikha Gupta, Renu Rameshan:
Learning optimally separated class-specific subspace representations using convolutional autoencoder. - Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, Jon Whittle:
AI and Ethics - Operationalising Responsible AI. - Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng:
Incentivized Bandit Learning with Self-Reinforcing User Preferences. - Daniel Capurro, Eduardo Velloso:
Dark Patterns, Electronic Medical Records, and the Opioid Epidemic. - Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval. - Jing Lin, Kaiqi Xiong:
Applying the Mahalanobis Distance to Develop Robust Approaches Against False Data Injection Attacks on Dynamic Power State Estimation. - Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning. - Abderrahim Fathan, Erick Delage:
Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering. - Jeremy Chen, Yuqing Huang, Mushi Wang, Semih Salihoglu, Ken Salem:
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs. - Taiga Miyazono, Brian Kenji Iwana, Daichi Haraguchi, Seiichi Uchida:
Font Style that Fits an Image - Font Generation Based on Image Context. - Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. - Beatrice Portelli, Daniele Passabì, Edoardo Lenzi, Giuseppe Serra, Enrico Santus, Emmanuele Chersoni:
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies. - Sabah Suhail, Raja Jurdak, Raimundas Matulevicius, Choong Seon Hong:
Securing Cyber-Physical Systems Through Blockchain-Based Digital Twins and Threat Intelligence. - Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang:
Dialogue Disentanglement in Software Engineering: How Far are We? - Ngoc T. Nguyen, Toan Q. Bui, Ghyslain Gagnon, Pascal Giard, Georges Kaddoum:
Designing a Pseudo-Random Bit Generator with a Novel 5D-Hyperchaotic System. - Yushu Zhang, Xiangli Xiao, Leo Yu Zhang, Zhe Liu, Jiwu Huang:
CREAMS: Copyrighted Cloud Media Sharing. - Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang:
A Sequence-to-Set Network for Nested Named Entity Recognition. - Ahmet Kurt, Suat Mercan, Omer Shlomovits, Enes Erdin, Kemal Akkaya:
LNGate: Powering IoT with Next Generation Lightning Micro-payments using Threshold Cryptography. - Chrisogonas O. Odhiambo, Pamela J. Wright, Cindy Corbett, Homayoun Valafar:
MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data. - Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. - Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu, Yanlong Du:
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. - Yin Zhang, Yueyao Yu:
Variability of Artificial Neural Networks. - Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen:
Multiple Meta-model Quantifying for Medical Visual Question Answering. - Waqas Ahmed, Habiba Akter, Sheikh Muhammad Hizam, Ilham Sentosa, Syeliya Md. Zaini:
Assessing the Learning Behavioral Intention of Commuters in Mobility Practices. - Shreyas Pai, Gopal Pandurangan, Sriram V. Pemmaraju, Peter Robinson:
Can We Break Symmetry with o(m) Communication? - Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. - Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. - Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong:
Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care. - Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang:
Federated Singular Vector Decomposition. - Sheikh Muhammad Hizam, Habiba Akter, Ilham Sentosa, Waqas Ahmed:
Digital competency of educators in the virtual learning environment: a structural equation modeling analysis. - Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang:
Investigating Math Word Problems using Pretrained Multilingual Language Models. - David A. Eccles, Tilman Dingler:
Three prophylactic interventions to counter fake news on social media. - Shu-Yu Chen, Feng-Lin Liu, Yu-Kun Lai, Paul L. Rosin, Chunpeng Li, Hongbo Fu, Lin Gao:
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control. - Gang Li, Zejian Liu, Fanrong Li, Jian Cheng:
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Donghwan Lee, Soo-Hyun Ryu, Suyong Yeon, Yonghan Lee, Deokhwa Kim, Cheolho Han, Yohann Cabon, Philippe Weinzaepfel, Nicolas Guérin, Gabriela Csurka, Martin Humenberger:
Large-scale Localization Datasets in Crowded Indoor Spaces. - Qianni Cao, Chen Shen, Mengshuo Jia:
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions. - Xuchu Xu, Ziteng Wang, Chen Feng:
Projector-Guided Non-Holonomic Mobile 3D Printing. - Nuria Brede, Hugo Herbelin:
On the logical structure of choice and bar induction principles. - Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. - Ataberk Olgun, Minesh Patel, Abdullah Giray Yaglikçi, Haocong Luo, Jeremie S. Kim, Nisa Bostanci, Nandita Vijaykumar, Oguz Ergin, Onur Mutlu:
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips. - Ohad Rozen, David Carmel, Avihai Mejer, Vitaly Mirkis, Yftah Ziser:
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products. - Nimra Zaheer, Obaid Ullah Ahmad, Ammar Ahmed, Muhammad Shehryar Khan, Mudassir Shabbir:
SEMOUR: A Scripted Emotional Speech Repository for Urdu. - Elia Bonetto, Pascal Goldschmid, Michael J. Black, Aamir Ahmad:
Active Visual SLAM with independently rotating camera. - Cheng-Yu Tsai, Mu-Chun Su:
VSGM - Enhance robot task understanding ability through visual semantic graph. - Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional Processing Emerges in Neural Networks Solving Math Problems. - Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang:
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. - Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim:
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation. - Fabio Sigrist:
Latent Gaussian Model Boosting. - Rahul Vaze, Jayakrishnan Nair:
Speed Scaling On Parallel Servers with MapReduce Type Precedence Constraints. - Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. - Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. - Johannes Kromer, Johanna Potyka, Kathrin Schulte, Dieter Bothe:
Efficient three-material PLIC interface positioning on unstructured polyhedral meshes. - Ruslan Sharipov:
Pseudo-Hadamard matrices of the first generation and an algorithm for producing them. - Uppalapati Somalatha, Parthajit Mohapatra:
On the Secrecy Capacity of 2-user Gaussian Z-Interference Channel with Shared Key. - Dániel Marx, Govind S. Sankar, Philipp Schepper:
Degrees and Gaps: Tight Complexity Results of General Factor Problems Parameterized by Treewidth and Cutwidth. - Umberto Michieli, Mete Ozay:
Prototype Guided Federated Learning of Visual Feature Representations. - Andres Ladino, Lin Xiao, Kingsley Adjenugwhure, Nicolás Deschle, Gerdien Klunder:
Cross-Platform Simulation Architecture with application to truck platooning impact assessment. - Sven Beuchler, Tim Haubold, Veronika Pillwein:
Recursion formulas for integrated products of Jacobi polynomials. - Maximilian Schenke, Oliver Wallscheid:
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. - Ming Sun, Haoxuan Dou, Junjie Yan:
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight. - Simon Fowler, Wen Kokke, Ornela Dardha, Sam Lindley, J. Garrett Morris:
Separating Sessions Smoothly. - Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh:
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. - Haipeng Gao, Kun Yang, Yuxue Yang, Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin:
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion. - Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Marco Tambasco:
Performability of Network Service Chains: Stochastic Modeling and Assessment of Softwarized IP Multimedia Subsystem. - Lei Guo, Han Zhao:
Online Adaptive Optimal Control Algorithm Based on Synchronous Integral Reinforcement Learning With Explorations. - Shyh Yaw Jou, Chung-Yen Su:
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2. - Henderik A. Proper:
An Overview of Computer Supported Query Formulation. - Rogier van de Wetering:
IT ambidexterity and patient agility: the mediating role of digital dynamic capability. - Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling:
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. - Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu:
Attack on practical speaker verification system using universal adversarial perturbations. - B. V. Rathish Kumar, Manisha Chowdhury:
Subgrid multiscale stabilized finite element analysis of non-Newtonian Casson model fully coupled with Advection-Diffusion-Reaction equations. - Valentin Preda, Andrew Hyslop, Samir Bennani:
Optimal Science-time Reorientation Policy for the Comet Interceptor Flyby via Sequential Convex Programming. - Keiichiro Shirai, Tatsuya Baba, Shunsuke Ono, Masahiro Okuda, Yusuke Tatesumi, Paul Perrotin:
Guided Facial Skin Color Correction. - Carmen D'Andrea, Giovanni Interdonato, Stefano Buzzi:
User-centric Handover in mmWave Cell-Free Massive MIMO with User Mobility. - Zheyuan Yang, Suzhi Bi, Ying-Jun Angela Zhang:
Dynamic Trajectory and Offloading Control of UAV-enabled MEC under User Mobility. - Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh, Kiet Van Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen:
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese. - Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen:
Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition. - Vaishali V. Ingale, Anush Mohan, Divit Adlakha, Krishna Kumar, Mohit Gupta:
Music Generation using Three layered LSTM. - Pantea Haghighatkhah, Wouter Meulemans, Bettina Speckmann, Jérôme Urhausen, Kevin Verbeek:
Obstructing Classification via Projection. - Stanislav Harizanov, Nikola Kosturski, Ivan Lirkov, Svetozar Margenov, Yavor Vutov:
Reduced Sum Implementation of the BURA Method for Spectral Fractional Diffusion Problems. - Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. - Daryna Dementieva, Daniil Moskovskiy, Varvara Logacheva, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Methods for Detoxification of Texts for the Russian Language. - Aashish Kolluri, Teodora Baluta, Prateek Saxena:
Private Hierarchical Clustering in Federated Networks. - Alexander Slesarev, Evgeniy Klyuchikov, Kirill Smirnov, George A. Chernishev:
Revisiting Data Compression in Column-Stores. - Abhishek Gupta, Alexandrine Royer, Connor Wright, Falaah Arif Khan, Victoria Heath, Erick Galinkin, Ryan Khurana, Marianna Bergamaschi Ganapini, Muriam Fancy, Masa Sweidan, Mo Akif, Renjie Butalid:
The State of AI Ethics Report (January 2021). - Abhishek Gupta, Alexandrine Royer, Connor Wright, Victoria Heath, Muriam Fancy, Marianna Bergamaschi Ganapini, Shannon Egan, Masa Sweidan, Mo Akif, Renjie Butalid:
The State of AI Ethics Report (Volume 4). - Hilal Elyousseph, Majid L. Altamimi:
Deep Learning Radio Frequency Signal Classification with Hybrid Images. - Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke:
Efficient approximation of high-dimensional exponentials by tensornetworks. - Sven Dittus, Benjamin Alt, Andreas Hermann, Darko Katic, Rainer Jäkel, Jürgen Fleischer:
Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation. - Soumyadeep Dey, Pratik Jawanpuria:
Light-weight Document Image Cleanup using Perceptual Loss. - Jan Alexander Fischer, Andres Palechor, Daniele Dell'Aglio, Abraham Bernstein, Claudio J. Tessone:
The Complex Community Structure of the Bitcoin Address Correspondence Network. - Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin:
Accelerating Gossip SGD with Periodic Global Averaging. - Jeziel C. Marinho, Rafael T. Anchiêta, Raimundo S. Moura:
Essay-BR: a Brazilian Corpus of Essays. - Jinhong Zhang:
Combining GCN and Transformer for Chinese Grammatical Error Detection. - Md. Ibrahim, A. S. M. Badrudduza, Md. Shakhawat Hossen, Milton Kumar Kundu, Imran Shafique Ansari:
Enhancing Security of TAS/MRC Based Mixed RF-UOWC System with Induced Underwater Turbulence Effect. - Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang, Ruonan Li:
Local Aggressive Adversarial Attacks on 3D Point Cloud. - Jörg Martin, Clemens Elster:
Errors-in-Variables for deep learning: rethinking aleatoric uncertainty. - Amin Ghazanfari, Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Model-based and Data-driven Approaches for Downlink Massive MIMO Channel Estimation. - Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, Shi-Min Hu:
Recursive-NeRF: An Efficient and Dynamically Growing NeRF. - Carlo Condo, Valerio Bioglio, Charles Pillet, Ingmar Land:
Staircase codes with non-systematic polar codes. - A. N. Trahtman:
The Černy Conjecture for aperiodic automata. - Benjie Wang, Clare Lyle, Marta Kwiatkowska:
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. - Cong Xu, Xiang Li, Min Yang:
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks. - Qiyao Peng, Fred J. Vermolen:
Upscaling between an Agent-Based Model (Smoothed Particle Approach) and a Continuum-Based Model for Skin Contractions. - Xiao Wang, Nian Liu, Hui Han, Chuan Shi:
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment. - Ágnes Cseh, Jannik Peters:
Three-Dimensional Popular Matching with Cyclic Preferences. - Julia Lindberg, Yasmine Abdennadher, Jiaqi Chen, Bernard C. Lesieutre, Line Roald:
A Guide to Reducing Carbon Emissions through Data Center Geographical Load Shifting. - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead. - Guangquan Zhou, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni:
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images. - Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick:
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. - Andrea Fronzetti Colladon, Fabrizio Vagaggini:
Robustness and stability of enterprise intranet social networks: The impact of moderators. - Feras Almasri, Jurgen Vandendriessche, Laurent Segers, Bruno da Silva, An Braeken, Kris Steenhaut, Abdellah Touhafi, Olivier Debeir:
XCycles Backprojection Acoustic Super-Resolution. - Christel Baier, Florian Funke, Rupak Majumdar:
A Game-Theoretic Account of Responsibility Allocation. - Greta Laage, Emma Frejinger, Gilles Savard:
Periodic Freight Demand Forecasting for Large-scale Tactical Planning. - Saumya Banthia, Anantha Sharma, Ravi Mangipudi:
TableZa - A classical Computer Vision approach to Tabular Extraction. - Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West:
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? - Thomas Orton:
Modeling Precomputation In Games Played Under Computational Constraints. - Gregory Barber, Mulugeta A. Haile, Tzikang Chen:
Physical Constraint Embedded Neural Networks for inference and noise regulation. - Roberto Metere, Luca Arnaboldi:
MetaCP: Cryptographic Protocol Design Tool for Formal Verification. - Sander Rhebergen, Garth N. Wells:
Preconditioning for a pressure-robust HDG discretization of the Stokes equations. - C. Tollola:
Procedural animations in interactive art experiences - A state of the art review. - Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan:
Generalizable Person Re-identification with Relevance-aware Mixture of Experts. - Shiyi Yang, Peilun Wu, Hui Guo, Nour Moustafa:
Hunter in the Dark: Discover Anomalous Network Activities Using Deep Ensemble Networks. - Chao Zhang, Jiaheng Lu, Qingsong Guo, Xinyong Zhang, Xiaochun Han, Minqi Zhou:
Automatic View Selection in Graph Databases. - Yimin Lou, Christoph Lehrenfeld:
Isoparametric unfitted BDF - Finite element method for PDEs on evolving domains. - Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk:
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. - Tobias Seufert, Felix Winterer, Christoph Scholl, Karsten Scheibler, Tobias Paxian, Bernd Becker:
Everything You Always Wanted to Know About Generalization of Proof Obligations in PDR. - Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. - Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang:
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency. - Yu Zhu, Ananthram Swami, Santiago Segarra:
Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling. - Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan:
High performance and energy efficient inference for deep learning on ARM processors. - Jie Liang, Hui Zeng, Lei Zhang:
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. - Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic:
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning. - Alessia Andò, Dimitri Breda:
Numerical computation of periodic solutions of renewal equations from population dynamics. - Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog:
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. - Hiromu Yakura, Yuki Koyama, Masataka Goto:
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics. - Peter A. Gloor, Andrea Fronzetti Colladon, Francesca Grippa, Gianni Giacomelli:
Forecasting managerial turnover through e-mail based social network analysis. - Maurice S. Fabien, Johnny Guzmán, Michael Neilan, Ahmed Zytoon:
Low-order divergence-free approximations for the Stokes problem on Worsey-Farin and Powell-Sabin splits. - Pawan K. Mishra, Gautam K. Das:
Approximation Algorithms For The Euclidean Dispersion Problems. - Priyanka Golia, Subhajit Roy, Kuldeep S. Meel:
Program Synthesis as Dependency Quantified Formula Modulo Theory. - Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman:
More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction. - Divyansh Singh:
Detection of Emotions in Hindi-English Code Mixed Text Data. - Vasilis Friderikos:
Airborne Urban Microcells with Grasping End Effectors: A Game Changer for 6G Networks? - Lin Fan, Peter W. Glynn:
Diffusion Approximations for Thompson Sampling. - Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. - Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch:
Boosting Variational Inference With Locally Adaptive Step-Sizes. - Spyridon Doukakis, Alexandra Psaltidou, Athena Stavraki, Nikos Adamopoulos, Panagiotis Tsiotakis, Stathis Stergou:
Measuring the technological pedagogical content knowledge (TPACK) of in-service teachers of computer science who teach algorithms and programming in upper secondary education. - Vaishali V. Ingale, Rishabh Singh, Pragati Patwal:
Image to Image Translation : Generating maps from satellite images. - Henderik A. Proper:
Da Vinci - Architecture-Driven Business Solutions. - Zehui Lin, Liwei Wu, Mingxuan Wang, Lei Li:
Learning Language Specific Sub-network for Multilingual Machine Translation. - Francesco Dell'Accio, Filomena Di Tommaso, Najoua Siar, Marco Vianello:
Numerical differentiation on scattered data through multivariate polynomial interpolation. - Giorgio Franceschelli, Mirco Musolesi:
Copyright in Generative Deep Learning. - Jeffrey C. Kimmell, Mahmoud Abdelsalam, Maanak Gupta:
Analyzing Machine Learning Approaches for Online Malware Detection in Cloud. - Zhisheng Xiao, Qing Yan, Yali Amit:
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? - Cristina Morariu, Adrien Bibal, René Cutura, Benoît Frénay, Michael Sedlmair:
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality. - Giorgia Callegaro, Alessandro Gnoatto, Martino Grasselli:
A Fully Quantization-based Scheme for FBSDEs. - Sascha Hornauer, Ke Li, Stella X. Yu, Shabnam Ghaffarzadegan, Liu Ren:
Unsupervised Discriminative Learning of Sounds for Audio Event Classification. - Hassan N. Noura, Ola Salman, Raphaël Couturier:
A Deep Learning Scheme for Efficient Multimedia IoT Data Compression. - Shahrokh Paravarzar, Javaneh Alavi:
A Decade of Research for Image Compression In Multimedia Laboratory. - Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, Partha Pratim Pande:
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. - Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. - Leonardo Boledi, Benjamin Terschanski, Stefanie Elgeti, Julia Kowalski:
A level-set based space-time finite element approach to the modelling of solidification and melting processes. - Zhaowei Liu, Andrew McBride, Prashant Saxena, Luca Heltai, Yilin Qu, Paul Steinmann:
Vibration Analysis of Piezoelectric Kirchhoff-Love Shells based on Catmull-Clark Subdivision Surfaces. - Viktor Henriksson, Manfred Kufleitner:
Deciding FO2 Alternation for Automata over Finite and Infinite Words. - Alim Virani, Jay Baxter, Dan Shiebler, Philip Gautier, Shivam Verma, Yan Xia, Apoorv Sharma, Sumit Binnani, Linlin Chen, Chenguang Yu:
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter. - Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. - Amifa Raj, Ashlee Milton, Michael D. Ekstrand:
Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations. - Rongyu Cao, Yixuan Cao, Ganbin Zhou, Ping Luo:
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. - Yi Huang, Ziyang Meng:
Distributed algorithms for the least square solution of linear equations. - Azzedine Abdedou, Azzeddine Soulaïmani:
A non-intrusive reduced-order modelling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and Proper Orthogonal Decomposition: application to dam-break flows. - Zicong Zhou, Guojun Liao:
Construction of Diffeomorphisms with Prescribed Jacobian Determinant and Curl. - Wenchen Sun, Wenjia Zhang, Yuanyuan Liu, Qingwen Liu, Zuyuan He:
Quadrature Photonic Spatial Ising Machine. - V. Kamphuis, Henderik A. Proper:
Informatiekunde - Visie 2003. - V. Kamphuis, Henderik A. Proper:
Informatiekunde - Curriculum 2003. - Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, Paolo Missier, Boris Otto, Elda Paja, Barbara Pernici, Jakob Rehof:
Knowledge-driven Data Ecosystems Towards Data Transparency. - Pawan K. Mishra, Gautam K. Das:
Approximation Algorithms For The Dispersion Problems in a Metric Space. - Leo G. Rebholz, Duygu Vargun, Mengying Xiao:
Enabling fast convergence of the iterated penalty Picard iteration with $O(1)$ penalty parameter for incompressible Navier-Stokes via Anderson acceleration. - Viktor Henriksson, Manfred Kufleitner:
Conelikes and Ranker Comparisons. - Dawn Drain, Colin B. Clement, Guillermo Serrato, Neel Sundaresan:
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons. - Mark C. Wilson, Zhou Tang:
Non-cumulative measures of researcher citation impact. - Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. - Louis Golowich:
Improved Product-Based High-Dimensional Expanders. - Amaldev Manuel, Dhruv Nevatia:
An Algebraic Characterisation of First-Order Logic with Neighbour. - Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser:
User Label Leakage from Gradients in Federated Learning. - Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone:
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. - Tavi Halperin, Hanit Hakim, Orestis Vantzos, Gershon Hochman, Netai Benaim, Lior Sassy, Michael Kupchik, Ofir Bibi, Ohad Fried:
Endless Loops: Detecting and Animating Periodic Patterns in Still Images. - Gus Henry Smith, Andrew Liu, Steven Lyubomirsky, Scott Davidson, Joseph McMahan, Michael B. Taylor, Luis Ceze, Zachary Tatlock:
Pure Tensor Program Rewriting via Access Patterns (Representation Pearl). - Avraham Adler:
Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes. - Hadi Hosseini, Andrew Searns:
Guaranteeing Maximin Shares: Some Agents Left Behind. - Zhe Xu, Hanghang Tong:
Graph Sanitation with Application to Node Classification. - Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi:
Surprisingly Popular Voting Recovers Rankings, Surprisingly! - Guy Goren, Shay Vargaftik, Yoram Moses:
Stochastic Coordination in Heterogeneous Load Balancing Systems. - Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ling Cai, Ni Lao:
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. - Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar:
Balancing Robustness and Sensitivity using Feature Contrastive Learning. - Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger:
Birds of a Feather: Capturing Avian Shape Models from Images. - Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Salvatore Catanese:
Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation. - Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
Separation of Powers in Federated Learning. - Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong:
Heterogeneous Contrastive Learning. - Ling Liu:
Computational Morphology with Neural Network Approaches. - Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana:
Unsupervised learning of text line segmentation by differentiating coarse patterns. - Behzad Javaheri:
Speech & Song Emotion Recognition Using Multilayer Perceptron and Standard Vector Machine. - Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf:
Diversity in Kemeny Rank Aggregation: A Parameterized Approach. - Chun Liu, Cheng Wang, Yiwei Wang, Steven M. Wise:
Convergence analysis of the variational operator splitting scheme for a reaction-diffusion system with detailed balance. - Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli, Mayukh Bagchi, Alessio Zamboni:
iTelos- Building reusable knowledge graphs. - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. - Fausto Giunchiglia, Mayukh Bagchi:
Classifying concepts via visual properties. - Jinho Choi:
Communication-Efficient Distributed SGD using Preamble-based Random Access. - Chuhong Lahlou, Ancil Crayton, Caroline Trier, Evan Willett:
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder. - Fausto Giunchiglia, Alessio Zamboni, Mayukh Bagchi, Simone Bocca:
Stratified Data Integration. - Aditya Parulekar, Advait Parulekar, Eric Price:
L1 Regression with Lewis Weights Subsampling. - Mehrdad J. Gangeh, Marcin Plata, Hamid Motahari, Nigel P. Duffy:
End-to-End Unsupervised Document Image Blind Denoising. - Craig S. Kaplan:
Heesch Numbers of Unmarked Polyforms. - Péter Madarasi:
The Simultaneous Assignment Problem. - Evan Lowe, Levent Guvenç:
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver. - Heming Du, Xin Yu, Liang Zheng:
VTNet: Visual Transformer Network for Object Goal Navigation. - Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash:
Superpixel-based Domain-Knowledge Infusion in Computer Vision. - Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto:
Anabranch Network for Camouflaged Object Segmentation. - Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. - Yukui Luo, Cheng Gongye, Yunsi Fei, Xiaolin Xu:
DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. - Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease:
The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help. - Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen:
MLBiNet: A Cross-Sentence Collective Event Detection Network. - Md Mohaimenuzzaman, S. M. Monzurur Rahman, Musaed A. Alhussein, Ghulam Muhammad, Khondaker Abdullah Al Mamun:
Enhancing safety in water transport system based on Internet of Things for developing countries. - Hongde Wu, Zhengyong Chen, Noel E. O'Connor, Mingming Liu:
Optimal Distributed Bandwidth Allocation in NB-IoT Networks. - Ayman Al-Kababji, Abbes Amira, Faycal Bensaali, Abdulah Jarouf, Lisan Shidqi, Hamza Djelouat:
An IoT-Based Framework for Remote Fall Monitoring. - Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen, Zhu Han:
Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches. - Javad Hajipour:
Stochastic Buffer-Aided Relay-Assisted MEC in Time-Slotted Systems. - Yongxiang Gu, Xiaolin Qin, Yuncong Peng, Lu Li:
Content-Augmented Feature Pyramid Network with Light Linear Transformers. - Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul:
Decomposing reverse-mode automatic differentiation. - Asim Leblebici, Omer Gesoglu, Yasemin Basbinar:
AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis. - Stanley E. Lazic, Dominic P. Williams:
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models. - Nikita Glushkov, Tyuleneva Emiliya:
Projection matrices and related viewing frustums: new ways to create and apply. - Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
Deep learning for solution and inversion of structural mechanics and vibrations. - Will Pryor, Yotam Barnoy, Suraj Raval, Xiaolong Liu, Lamar O. Mair, Daniel Lerner, Onder Erin, Gregory D. Hager, Yancy Diaz-Mercado, Axel Krieger:
Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue. - Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen:
Federated Artificial Intelligence for Unified Credit Assessment. - Ethan Lim Ding Feng, Zhi-Wei Neo, Aaron William De Silva, Kellie Sim, Hong-Ray Tan, Thi-Thanh Nguyen, Karen Wei Ling Koh, Wenru Wang, Hoang D. Nguyen:
Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems. - Thuy-Trinh Nguyen, Kellie Sim, Anthony To Yiu Kuen, Ronald R. O'Donnell, Suan Tee Lim, Wenru Wang, Hoang D. Nguyen:
Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context. - Zhibo Fan, Yuchen Ma, Zeming Li, Jian Sun:
Generalized Few-Shot Object Detection without Forgetting. - Rundi Wu, Chang Xiao, Changxi Zheng:
DeepCAD: A Deep Generative Network for Computer-Aided Design Models. - Yilong Hui, Zhou Su, Tom H. Luan, Nan Cheng:
Futuristic Intelligent Transportation System. - Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh, Yuefeng Li:
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks. - Cherinor Umaru Bah, Afzaal Hussain Seyal, Umar Yahya:
Combining PIN and Biometric Identifications as Enhancement to User Authentication in Internet Banking. - Shunxiang Cao, Daniel Zhengyu Huang:
Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework. - Xiao Pan, Mingxuan Wang, Liwei Wu, Lei Li:
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation. - Jianbo Cui, Luca Dieci, Haomin Zhou:
A continuation multiple shooting method for Wasserstein geodesic equation. - Priyabrata Parida, Harpreet S. Dhillon:
Pilot Assignment Schemes for Cell-Free Massive MIMO Systems. - Masoud Jalayer, Morvarid Azheian, Mehrdad Agha Mohammad Ali Kermani:
A hybrid algorithm based on Community Detection and Multi-Attribute Decision-Making for Influence Maximization. - Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott:
Fast Nonblocking Persistence for Concurrent Data Structures. - Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi:
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection. - Ameya D. Jagtap, Yeonjong Shin, Kenji Kawaguchi, George Em Karniadakis:
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions. - Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar:
Matchings with Group Fairness Constraints: Online and Offline Algorithms. - Sai Datta Vishnubhotla, Emilia Mendes, Lars Lundberg:
Understanding the Perceived Relevance of Capability Measures: A Survey of Agile Software Development Practitioners. - Christel Baier, Clemens Dubslaff, Florian Funke, Simon Jantsch, Rupak Majumdar, Jakob Piribauer, Robin Ziemek:
From Verification to Causality-based Explications. - Shankara Narayanan Krishna, Khushraj Madnani, Manuel Mazo Jr., Paritosh K. Pandya:
Generalizing Non-Punctuality for Timed Temporal Logic with Freeze Quantifiers. - Hongwei Shi, Shengling Wang, Qin Hu, Xiuzhen Cheng:
Micro Analysis of Natural Forking in Blockchain Based on Large Deviation Theory. - Xiaolin Chen, Shuai Zhou, Kai Yang, Hao Fan, Zejin Feng, Zhong Chen, Hu Wang, Yongji Wang:
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning. - Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. - Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. - Peter A. Gloor, Stephanie L. Woerner, Detlef Schoder, Kai Fischbach, Andrea Fronzetti Colladon:
Size does not matter - in the virtual world. Comparing online social networking behaviour with business success of entrepreneurs. - Yun Fan:
Constacyclic Codes over Commutative Finite Principal Ideal Rings. - Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang:
A low-rank representation for unsupervised registration of medical images. - Bin Han, Yao Zhu, Muxia Sun, Vincenzo Sciancalepore, Yulin Hu, Hans D. Schotten:
CLARQ: A Dynamic ARQ Solution for Ultra-high Closed-loop Reliability. - Monireh Allah Gholi Ghasri, Ali Mohammad Afshin Hemmatyar:
A New Dynamic Optimal Relay Selection and RF interfaces Setting Algorithm (DORSA) in M2M of IoT Applications. - Takashi Mori, Liu Ziyin, Kangqiao Liu, Masahito Ueda:
Logarithmic landscape and power-law escape rate of SGD. - Zhijun Shen, Mingbo Liu, Lixin Xu, Wentian Lu:
Optimal Bidding Strategy for a Distributed Energy Resource Aggregator in Energy and Reserve Markets Considering Security Check. - Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. - Henderik A. Proper:
Generating Significant Examples for Conceptual Schema Validation. - Henderik A. Proper:
Interactive Query Formulation using Query By Navigation. - Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. - Gabriel Bathie, Nicolas Bousquet, Théo Pierron:
(Sub)linear kernels for edge modification problems towards structured graph classes. - Lianwei Wu, Yuan Rao, Yuqian Lan, Ling Sun, Zhaoyin Qi:
Unified Dual-view Cognitive Model for Interpretable Claim Verification. - Peter A. Gloor, Andrea Fronzetti Colladon, Gianni Giacomelli, T. Saran, Francesca Grippa:
The impact of virtual mirroring on customer satisfaction. - Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates. - Hongshi Tan, Xinyu Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs. - Takamichi Toda, Daisuke Moriwaki, Kazuhiro Ota:
Aggregate Learning for Mixed Frequency Data. - Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. - Maria Posluk, Jesper Ahlander, Deep Shrestha, Sara Modarres Razavi, Gustav Lindmark, Fredrik Gunnarsson:
5G Deployment Strategies for High Positioning Accuracy in Indoor Environments. - Bartosz Jaroszkowski, Max Jensen:
Finite Element Approximation of Hamilton-Jacobi-Bellman equations with nonlinear mixed boundary conditions. - Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. - Fadi Mohsen, Loran Oosterhaven, Fatih Turkmen:
KotlinDetector: Towards Understanding the Implications of Using Kotlin in Android Applications. - Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides:
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection. - Ritu Kapur, Sumit Kalra, Kamlesh Tiwari, Geetika Arora:
Training Software Engineers for Qualitative Evaluation of Software Architecture. - Li Wang, Wei Xiang, Ruhui Xue, Kaida Zou, Laili Zhu:
AGSFCOS: Based on attention mechanism and Scale-Equalizing pyramid network of object detection. - Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints. - Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer:
Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models. - Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty:
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization. - Changyong Hu, Vijay K. Garg:
Characterization of Super-stable Matchings. - Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Probabilistic and Variational Recommendation Denoising. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Dependency Parsing with Bottom-up Hierarchical Pointer Networks. - Aditi Singh, Suhas Jayaram Subramanya, Ravishankar Krishnaswamy, Harsha Vardhan Simhadri:
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search. - Serhat Bakirtas, Elza Erkip:
Database Matching Under Column Deletions. - Mustafa Sahin Turan, Giancarlo Ferrari-Trecate:
Data-driven Unknown-input Observers and State Estimation. - Elie Bretin, Roland Denis, Simon Masnou, Arnaud Sengers, Garry Terii:
A cahn-Hilliard multiphase system with mobilities for wetting simulation. - Ding Shi, Wenjin Wang, Li You, Xiaohang Song, Yi Hong, Xiqi Gao, Gerhard P. Fettweis:
Deterministic Pilot Design and Channel Estimation for Downlink Massive MIMO-OTFS Systems in Presence of the Fractional Doppler. - Qianxi Wu, An-Bao Xu:
A Biased Deep Tensor Factorization Network For Tensor Completion. - Chaozheng Wang, Zhenghao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching Query Semantics for Code Search with Reinforcement Learning. - Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. - Sam Devlin, Raluca Georgescu, Ida Momennejad, Jaroslaw Rzepecki, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ali Shaw, Katja Hofmann:
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation. - Timo Spinde, Felix Hamborg, Karsten Donnay, Angelica Becerra, Bela Gipp:
Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias. - Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi, Muhammad Imran, Zhu Han, Choong Seon Hong:
A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars. - Mohak Chadha, Michael Gerndt:
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. - Yukai Shi, Jinghui Qin:
Content-adaptive Representation Learning for Fast Image Super-resolution. - Chie Hieida, Takayuki Nagai:
Survey and Perspective on Social Emotions in Robotics. - Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Towards Detecting Need for Empathetic Response in Motivational Interviewing. - Yves Bestgen:
LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures. - Marcin Kowalczyk, Tomasz Kryjak:
A Connected Component Labelling algorithm for multi-pixel per clock cycle video stream. - Felix Hamborg, Karsten Donnay, Bela Gipp:
Towards Target-dependent Sentiment Classification in News Articles. - Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
Stable discontinuous mapped bases: the Gibbs-Runge-Avoiding Stable Polynomial Approximation (GRASPA) method. - Christian Pilato, Luca Collini, Luca Cassano, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
On the Optimization of Behavioral Logic Locking for High-Level Synthesis. - Adam Heriban, Sébastien Tixeuil:
Unreliable Sensors for Reliable Efficient Robots. - Yongho Kim, Yongho Choi:
Fast Numerical Simulation of Allen-Cahn Equation. - Felix Hamborg, Anastasia Zhukova, Karsten Donnay, Bela Gipp:
Newsalyze: Enabling News Consumers to Understand Media Bias. - Amit Daniely, Elad Granot:
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network. - Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz:
On the Parameterized Complexity of Polytree Learning. - Hossam M. Farag, Cedomir Stefanovic:
Congestion-Aware Routing in Dynamic IoT Networks: A Reinforcement Learning Approach. - Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Tae Hwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho:
KLUE: Korean Language Understanding Evaluation. - Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo:
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. - Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification. - Jaydeep Borkar, Pin-Yu Chen:
Simple Transparent Adversarial Examples. - Akash Gupta, Gaurav S. Kasbekar:
Secure, Anonymity-Preserving and Lightweight Mutual Authentication and Key Agreement Protocol for Home Automation IoT Networks. - Xingyuan Chen, Gonçalo Dos Reis:
A flexible split-step scheme for MV-SDEs. - Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Christian Mazzucco, Umberto Spagnolini:
Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning. - Mateus Saquetti, Raphael Martins Brum, Bruno Zatt, Samuel Pagliarini, Weverton Cordeiro, José Rodrigo Azambuja:
A Terabit Hybrid FPGA-ASIC Platform for Switch Virtualization. - Christian Giang, Lucio Negrini:
Educational Robotics in Online Distance Learning: An Experience from Primary School. - Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li:
An Empirical Study of Vehicle Re-Identification on the AI City Challenge. - Hans-Jürgen Profitlich, Daniel Sonntag:
A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report. - Hamidreza Bakhshzad Mahmoodi, Bikshapathi Gouda, Mohammad Javad Salehi, Antti Tölli:
Low-complexity Multicast Beamforming for Multi-stream Multi-group Communications. - Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. - Pengxiang Ding, Jianqin Yin:
An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction. - Maxence Mahe, Pierre Belamri, Jesus Bujalance Martin:
Towards a Sample Efficient Reinforcement Learning Pipeline for Vision Based Robotics. - Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen:
Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy. - Orcun Yalcin, Xiuyi Fan, Siyuan Liu:
Evaluating the Correctness of Explainable AI Algorithms for Classification. - Aashish Agarwal, Torsten Zesch:
Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech. - Yoni Zohar, Ahmed Irfan, Makai Mann, Andres Nötzli, Andrew Reynolds, Clark W. Barrett:
lazybvtoint at the SMT Competition 2020. - Qinbing Fu, Tian Liu, Xuelong Sun, Huatian Wang, Jigen Peng, Shigang Yue, Cheng Hu:
Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach. - Olaoluwapo Ajala, Minghui Lu, Brian B. Johnson, Sairaj V. Dhople, Alejandro D. Domínguez-García:
Model Reduction for Inverters with Current Limiting and Dispatchable Virtual Oscillator Control. - Shimon Bitton, Yuval Emek, Taisuke Izumi, Shay Kutten:
Fully Adaptive Self-Stabilizing Transformer for LCL Problems. - Behzad Sadrfaridpour, Yiannis Aloimonos, Miao Yu, Yang Tao, Donald Webster:
Detecting and Counting Oysters. - Ferenc Nagy, Norimasa Yoshida, Miklós Hoffmann:
Interactive $G^1$ and $G^2$ Hermite Interpolation Using Extended Log-aesthetic Curves. - Marco Attene:
Indirect predicates for geometric constructions. - Spyridon Doukakis, Panagiotis Vlamos:
Enhancement Programming Skills and Transforming Knowledge of Programming through Neuroeducation Approaches. - Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh:
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. - Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, Naoto Takeda, Sean T. Fish, Thomas Ploetz, Sonia Chernova:
Explainable Activity Recognition for Smart Home Systems. - Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman:
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series. - Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen:
On preconditioning the state formulation of incremental weak constraint 4D-Var. - Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz:
Weakly-Supervised Physically Unconstrained Gaze Estimation. - Juan M. Gandarias, Pietro Balatti, Edoardo Lamon, Marta Lorenzini, Arash Ajoudani:
A User-Centered Interface for Enhanced Conjoined Human-Robot Actions in Industrial Tasks. - Soheil Gholami, Marta Lorenzini, Elena De Momi, Arash Ajoudani:
Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces. - Ruming Zhang:
High order methods to simulate scattering problems in locally perturbed periodic waveguides. - Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. - Kostantinos Papadamou:
Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTube. - Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. - Alessandro Lenci, Magnus Sahlgren, Patrick Jeuniaux, Amaru Cuba Gyllensten, Martina Miliani:
A comprehensive comparative evaluation and analysis of Distributional Semantic Models. - Luca Ferrarini, Stefano Gualandi:
Total Coloring and Total Matching: Polyhedra and Facets. - Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
Towards Personalized Fairness based on Causal Notion. - Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebok, Gerhard Weiss, Kurt Driessens, Mario Senden:
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. - Gizem Tabak, Andrew C. Singer:
Uncoded Binary Signaling through Modulo AWGN Channel. - Zuchao Li, Junru Zhou, Hai Zhao, Kevin Parnow:
Head-driven Phrase Structure Parsing in O($n^3$) Time Complexity. - Michael Fauß, Abdelhak M. Zoubir, H. Vincent Poor:
Minimax Robust Detection: Classic Results and Recent Advances. - Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. - Tasuku Soma, Yuichi Yoshida:
Online Risk-Averse Submodular Maximization. - Rebekka Schulz, Onur Günlü, Robert Elschner, Rafael F. Schaefer, Carsten Schmidt-Langhorst, Colja Schubert, Robert F. H. Fischer:
Semantic Security for Indoor THz-Wireless Communication. - Nicolas Borla, Fabian Kuster, Jonas Langenegger, Juan Ribera, Marcel Honegger, Giovanni Toffetti:
Teat Pose Estimation via RGBD Segmentation for Automated Milking. - Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck:
M4Depth: A motion-based approach for monocular depth estimation on video sequences. - Yanli Zhou, Brenden M. Lake:
Flexible Compositional Learning of Structured Visual Concepts. - Naftali Waxman, Noam Hazon, Sarit Kraus:
Manipulation of k-Coalitional Games on Social Networks. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Multiple Support Recovery Using Very Few Measurements Per Sample. - Patrick Lumban Tobing, Tomoki Toda:
High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling. - Patrick Lumban Tobing, Tomoki Toda:
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction. - Gregory Scontras, Michael Henry Tessler, Michael Franke:
A practical introduction to the Rational Speech Act modeling framework. - Nosakhare Edoimioya, Keval S. Ramani, Chinedum Emmanuel Okwudire:
Software Compensation of Undesirable Racking Motion of H-frame 3D Printers using Filtered B-Splines. - William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera. - Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn:
Towards an Arrow-native Storage System. - Ran Zhu, Mingkun Yang, Wang Liu, Rujun Song, Bo Yan, Zhuoling Xiao:
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry. - Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira:
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles. - Manav Madan, Peter Jakob, Tobias Schmid-Schirling, Abhinav Valada:
Multi-Perspective Anomaly Detection. - (Withdrawn) Empirical Analysis of Image Caption Generation using Deep Learning.
- Xiaoguang Tu, Jian Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Joint Face Image Restoration and Frontalization for Recognition. - Wangyang Chen, Abraham Noah Wu, Filip Biljecki:
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality. - Dipayan Das, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda:
PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection. - Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu:
CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues. - Kevin Buchin, Maarten Löffler, Tim Ophelders, Aleksandr Popov, Jérôme Urhausen, Kevin Verbeek:
Computing the Fréchet Distance Between Uncertain Curves in One Dimension. - Nan Kang, Frederik Mallmann-Trenn, Nicolás Rivera:
Diversity, Fairness, and Sustainability in Population Protocols. - Konrad Erich Kork Schmitt, Cesar A. Negri, Saeed Daneshvardehnavi, Stephen Bayne, Michael Giesselmann:
Short Circuit and Arc Flash Study on a Microgrid Facility. - Robin Kaarsgaard, Mathys Rennela:
Join inverse rig categories for reversible functional programming, and beyond. 152-167 - Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. - Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. - John K. Tsotsos, Jun Luo:
Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment. - Henry M. Clever, Patrick Grady, Greg Turk, Charles C. Kemp:
BodyPressure - Inferring Body Pose and Contact Pressure from a Depth Image. - Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. - Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. - Andrew Brown, Vicky Kalogeiton, Andrew Zisserman:
Face, Body, Voice: Video Person-Clustering with Multiple Modalities. - Chaoran Huang, Volker J. Sorger, Mario Miscuglio, Mohammed Al-Qadasi, Avilash Mukherjee, Sudip Shekhar, Lukas Chrostowski, Lutz Lampe, Mitchell Nichols, Mable P. Fok, Daniel Brunner, Alexander N. Tait, Thomas Ferreira de Lima, Bicky A. Marquez, Paul R. Prucnal, Bhavin J. Shastri:
Prospects and applications of photonic neural networks. - Yunlong Li, Yiming Peng, Dengzheng Zhang, Yingan Mai, Zhengrong Ruan:
XGBoost energy consumption prediction based on multi-system data HVAC. - Boaz Shmueli, Soumya Ray, Lun-Wei Ku:
Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter. - (Withdrawn) Forest languages defined by counting maximal paths.
- John Z. Zhang, Luke Drnach, Ye Zhao:
Mediating between Contact Feasibility and Robustness of Trajectory Optimization through Chance Complementarity Constraints. - Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Angel Jiménez-Fernandez, Saturnino Vicente Diaz, Alejandro Linares-Barranco:
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems. - Sara Mousavi, Zhenning Yang, Kelley Cross, Dawnie W. Steadman, Audris Mockus:
Pseudo Pixel-level Labeling for Images with Evolving Content. - Gaia Belardinelli, Rasmus K. Rendsvig:
Epistemic Planning with Attention as a Bounded Resource. - Ayrat Khalimov, Emmanuel Filiot, Léo Exibard:
Transducer Synthesis from Universal Register Automata in (N, >). - Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu:
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation. - Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
A Load Balanced Recommendation Approach. - Wael Korani, Malek Mouhoub, Samira Sadaoui:
Optimizing Neural Network Weights using Nature-Inspired Algorithms. - Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty:
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations. - Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel:
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. - Robert Amelard, Eric T. Hedge, Richard Lee Hughson:
Temporal prediction of oxygen uptake dynamics from wearable sensors during low-, moderate-, and heavy-intensity exercise. - Guy N. Rothblum, Gal Yona:
Multi-group Agnostic PAC Learnability. - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. - Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer:
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. - Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking in Noisy Environments. - Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Comment on Stochastic Polyak Step-Size: Performance of ALI-G. - Marcos Vendramini, Hugo N. Oliveira, Alexei M. C. Machado, Jefersson A. dos Santos:
Opening Deep Neural Networks with Generative Models. - Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham:
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. - Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automated Performance Bug Detection in Database Systems. - Sandeep Manjanna, Ani Hsieh, Gregory Dudek:
Scalable Multi-Robot System for Non-myopic Spatial Sampling. - Geetanjali Rakshit, Jeffrey Flanigan:
ASQ: Automatically Generating Question-Answer Pairs using AMRs. - Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. - Huachao Deng, Yoshiaki Abe, Tomonaga Okabe:
Generalized smoothed particle hydrodynamics with overset methods in total Lagrangian formulations. - Rogier van de Wetering:
Dynamic enterprise architecture capabilities and organizational benefits: an empirical mediation study. - Dripta S. Raychaudhuri, Sujoy Paul, Jeroen van Baar, Amit K. Roy-Chowdhury:
Cross-domain Imitation from Observations. - Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding:
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. - Nihal Potdar, Anderson R. Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen:
A Streaming End-to-End Framework For Spoken Language Understanding. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
A (Slightly) Improved Bound on the Integrality Gap of the Subtour LP for TSP. - Zahra Rezaei Khavas:
A Review on Trust in Human-Robot Interaction. - Ross Greer, Shlomo Dubnov:
Restoring Eye Contact to the Virtual Classroom with Machine Learning. - Mohammed Moawad Alenazi, Barzan A. Yosuf, Sanaa H. Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy-Efficient Distributed Machine Learning in Cloud Fog Networks. - Julian Whitman, Matthew J. Travers, Howie Choset:
Learning Modular Robot Control Policies. - Jack W. Stokes, Paul England, Kevin Kane:
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance. - Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev:
A Rule Mining-Based Advanced Persistent Threats Detection System. - Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou:
Data-Free Knowledge Distillation for Heterogeneous Federated Learning. - Kanvaly Fadiga, Étienne Houzé, Ada Diaconescu, Jean-Louis Dessalles:
To do or not to do: finding causal relations in smart homes. - Arhum Ishtiaq, Sara Mahmood, Maheen Anees, Neha Mumtaz:
Model Compression. - Hao Feng, Jaime Llorca, Antonia M. Tulino, Danny Raz, Andreas F. Molisch:
Approximation Algorithms for the NFV Service Distribution Problem. - Ezequiel França dos Santos, Gabriel Fontenelle:
Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional. - Daniel Halpern, Nisarg Shah:
Fair and Efficient Resource Allocation with Partial Information. - Xin Qian, Diego Klabjan:
A Probabilistic Approach to Neural Network Pruning. - Pei Xu, Ioannis Karamouzas:
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control. - Jacob A. Searcy, Susan L. Sokolowski:
Towards Automatic Sizing for PPE with a Point Cloud Based Variational Autoencoder. - Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
De-Biased Modelling of Search Click Behavior with Reinforcement Learning. - Jianghong Zhou, Eugene Agichtein, Surya Kallumadi:
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index. - Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Parakrama Ekanayake, Roshan G. Ragel, Vijitha R. Herath, Roshan Godaliyadda:
An Optical physics inspired CNN approach for intrinsic image decomposition. - Leman Akoglu:
Anomaly Mining - Past, Present and Future. - Johannes Krotz, Matthew R. Sweeney, Carl W. Gable, Jeffrey D. Hyman, Juan M. Restrepo:
Maximal Poisson-disk Sampling for Variable Resolution Conforming Delaunay Mesh Generation: Applications for Three-Dimensional Discrete Fracture Networks and the Surrounding Volume. - Bin Ji, Shasha Li, Jie Yu, Jun Ma, Huijun Liu:
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism. - Rodina Bassiouny, Adel Mohamed, Karthi Umapathy, Naimul Khan:
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images. - Pravin Dangol, Alireza Ramezani:
Reduced-Order-Model-Based Feedback Design for Thruster-Assisted Legged Locomotion. - Zhehua Mao, Liang Zhao, Shoudong Huang, Yiting Fan, Alex Pui-Wai Lee:
Direct Simultaneous Multi-Image Registration. - Dmitrii Avdiukhin, Grigory Yaroslavtsev:
Escaping Saddle Points with Compressed SGD. - Xin-Jian Xu, Cheng Chen, J. F. F. Mendes:
Efficient hypothesis testing for community detection in heterogeneous networks by graph dissimilarity. - Anshul Gupta, Toyotaro Suzumura:
Finding All Bounded-Length Simple Cycles in a Directed Graph. - Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang:
Variational Gaussian Topic Model with Invertible Neural Projections. - Hang Wang, David J. Miller, George Kesidis:
Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks. - He Zhang, John Harlim, Xiantao Li:
Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions. - Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu:
Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing. - Leilei Cao, Yao Xiao, Lin Xu:
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds. - Hua Shen, Matteo Parsani:
A rotated characteristic decomposition technique for high-order reconstructions in multi-dimensions. - Lu Hou, Xiaojun Xu, Kan Zheng, Xianbin Wang:
An Intelligent Transaction Migration Scheme for RAFT-based Private Blockchain in Internet of Things Applications. - Ge-Peng Ji, Xiao Wang, Yu-Cheng Chou, Yuming Fang, Shouyuan Yang, Rong Zhu, Ge Gao:
Guidance and Teaching Network for Video Salient Object Detection. - Zhiyuan Chen, Guang Yao, Wennan Ma, Lin Xu:
IDEAL: Independent Domain Embedding Augmentation Learning. - Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. - Kornraphop Kawintiranon, Yaguang Liu:
Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws. - Eric Wang, Pasha Khosravi, Guy Van den Broeck:
Probabilistic Sufficient Explanations. - Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Backdoor Attacks on Self-Supervised Learning. - Jianghong Zhou, Eugene Agichtein:
RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search. - Toby Jia-Jun Li, Brad A. Myers:
A Need-finding Study for Understanding Text Entry in SmartphoneApp Usage. - Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer:
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation. - Binjie Li, Xiaoping Xie:
Convergence of a spatial semidiscretization for a backward semilinear stochastic parabolic equation. - Yuri Sato, Koji Mineshima, Kazuhiro Ueda:
Visual representation of negation: Real world data analysis on comic image design. - Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. - Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of Iterative Predictions in Bayesian Neural Networks. - Naruki Shinohara, Hideki Yagi:
Unified Expression of Achievable Region in Privacy-Constrained Source Coding. - Chih-Hong Cheng, Alois C. Knoll, Hsuan-Cheng Liao:
Safety Metrics for Semantic Segmentation in Autonomous Driving. - Harsh Kohli:
Training Bi-Encoders for Word Sense Disambiguation. - Bingsheng Shen, Yang Yang, Zhengchun Zhou:
New Construction of Z-Complementary Code Sets and Mutually Orthogonal Complementary Sequence Sets. - Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet:
On Instrumental Variable Regression for Deep Offline Policy Evaluation. - Jakub Wiktor Both, Jan Martin Nordbotten, Florin Adrian Radu:
Free energy diminishing discretization of Darcy-Forchheimer flow in poroelastic media. - Harsh Kohli:
Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation. - Chen-Chieh Liao, Dong-Hyun Hwang, Hideki Koike:
How Can I Swing Like Pro?: Golf Swing Analysis Tool for Self Training. - Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang:
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. - Alexios Gidiotis, Grigorios Tsoumakas:
Uncertainty-Aware Abstractive Summarization. - Cuong Tuan Nguyen, Thanh-Nghia Truong, Hung Tuan Nguyen, Masaki Nakagawa:
Global Context for improving recognition of Online Handwritten Mathematical Expressions. - Yaroslav Golubev, Jiawei Li, Timofey Bryksin, Viacheslav Bushev, Iftekhar Ahmed:
Changes from the Trenches: Should We Automate Them? - Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang, Yanghua Xiao:
Revisiting the Negative Data of Distantly Supervised Relation Extraction. - Quang Huy Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Masaki Nakagawa:
GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers. - Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection. - Yuichi Komorida, Shin-ya Katsumata, Clemens Kupke, Jurriaan Rot, Ichiro Hasuo:
Expressivity of Quantitative Modal Logics: Categorical Foundations via Codensity and Approximation. - Andrew Bennett, Dipendra Misra, Nga Than:
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. - Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden:
Explainable Machine Learning with Prior Knowledge: An Overview. - Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello:
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. - Rosemberg Rodriguez Salas, Eva Dokládalová, Petr Dokládal:
Rotation invariant CNN using scattering transform for image classification. - Josef Bajada, Maria Fox, Derek Long:
Efficient Temporal Piecewise-Linear Numeric Planning with Lazy Consistency Checking. - Dusan Knop, Simon Schierreich, Ondrej Suchý:
Balancing the Spread of Two Opinions in Sparse Social Networks. - Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell:
A Non-Linear Structural Probe. - Judith Dörrenbächer, Matthias Laschke, Diana Löffler, Ronda Ringfort, Sabrina Großkopp, Marc Hassenzahl:
Experiencing Utopia. A Positive Approach to Design Fiction. - Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang:
Semantic Representation for Dialogue Modeling. - Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper:
Combining Transformer Generators with Convolutional Discriminators. - Swalpa Kumar Roy, Mercedes Eugenia Paoletti, Juan Mario Haut, Shiv Ram Dubey, Purbayan Kar, Antonio Plaza, Bidyut B. Chaudhuri:
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks. - Qiyuan Liang, Bin Zhu, Chong-Wah Ngo:
Pyramid Fusion Dark Channel Prior for Single Image Dehazing. - Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer:
Rule Augmented Unsupervised Constituency Parsing. - Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. - Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu:
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model. - Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski:
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. - Álvaro López-Raventós, Boris Bellalta:
IEEE 802.11be Multi-Link Operation: When the Best Could Be to Use Only a Single Interface. - Jinshuo Zhang, Zhicheng Wang, Songyan Zhang, Gang Wei:
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation. - Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning. - Rayees A. Thokar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Nand Kishor Meena:
Rational Dynamic Price Model for Demand Response Programs in Modern Distribution Systems. - Won Joon Yun, Sungwon Yi, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. - Tobias Rohrer, Jascha Kolberg:
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection. - Matthias Wölbitsch, Thomas Hasler, Patrick Kasper, Denis Helic, Simon Walk:
RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores. - André Rodrigues, André R. B. Santos, Kyle Montague, Hugo Nicolau, Tiago João Guerreiro:
WildKey: A Privacy-Aware Keyboard Toolkit for Data Collection In-The-Wild. - L. A. Krasnodubets, Aleksandr N. Grekov:
Modeling the Operation of an Autonomous Profilograph as a Dynamic System When Measuring Oceanological Fields. - David Könen, Daniel R. Schmidt, Christiane Spisla:
Finding all minimum cost flows and a faster algorithm for the K best flow problem. - Sani M. Abdullahi, Shuifa Sun:
Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balance for color constancy. - Elisabeth Vogel, Zoya Dyka, Dan Klann, Peter Langendörfer:
Resilience in the Cyber World: Definitions, Features and Models. - Peter A. Gloor, Andrea Fronzetti Colladon, Francesca Grippa, B. M. Hadley, Stephanie L. Woerner:
The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups. - Kim Peter Wabersich, Melanie N. Zeilinger:
Predictive control barrier functions: Enhanced safety mechanisms for learning-based control. - Abdullah M. Alqahtani, Barzan A. Yosuf, Sanaa H. Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Minimized Federated Fog Computing over Passive Optical Networks. - Shahab Saquib Sohail, Mohammad Muzammil Khan, M. Afshar Alam:
An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices - A Study of 80 Million Tweets. - Peter A. Gloor, Andrea Fronzetti Colladon, Francesca Grippa:
The digital footprint of innovators: Using email to detect the most creative people in your organization. - Marwan Qaid Mohammed, Muhammad Fahmi Miskon, Sari Abdo Ali:
The Effectiveness of Kinematic Constraints on The Accuracy of Trajectory Profile of Human Walking Using PSPB Technique. - Pierre Lairez, Mohab Safey El Din:
Computing the dimension of a real algebraic set. - Andrea Fronzetti Colladon, Peter A. Gloor:
Measuring the impact of spammers on e-mail and Twitter networks. - Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS, Sairathan Ventrapragada, Saivamshi Salla Dasharatha:
Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval. - Carl-Johan Hoel, Krister Wolff, Leo Laine:
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving. - Philipp Ennen, Yen-Ting Lin, Ali Girayhan Özbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-Shan Shiu:
Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging. - Gerhard Wunder, Axel Flinth, Benedikt Groß:
Measure Concentration on the OFDM-based Random Access Channel. - Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu:
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media. - Graham W. Alldredge, Martin Frank, Jan Giesselmann:
On the convergence of the regularized entropy-based moment method for kinetic equations. - Zhichao Han, Zhepei Wang, Chao Xu, Fei Gao:
Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing. - Wolfgang Fuhl:
Maximum and Leaky Maximum Propagation. - Yacine Izza, João Marques-Silva:
On Explaining Random Forests with SAT. - Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate:
Near-Optimal Design of Safe Output Feedback Controllers from Noisy Data. - Mohsen Pourghasemian, Mohammad Reza Abedi, Shima Salar Hosseini, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck:
AI-Based and Mobility-Aware Energy Efficient Resource Allocation and Trajectory Design for NFV Enabled Aerial Networks. - Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffrey Ye Li, Xiaohu You:
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems. - Mustafa Ayazoglu:
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices. - Lázaro Alberto Larrauri, Roderick Bloem:
Minimization and Synthesis of the Tail inSequential Compositions of Mealy Machines. - Paul C. Bell, Pavel Semukhin:
Decision Questions for Probabilistic Automata on Small Alphabets. - Yan Wang, Junlin Xiong, Zaiyue Yang, Rong Su:
Optimal Estimator Design and Properties Analysis for Interconnected Systems with Asymmetric Information Structure. - Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva, Luca Benini:
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach. - Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern M. Eskofier:
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. - Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent:
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. - Amin Ghazanfari, Hei Victor Cheng, Emil Björnson, Erik G. Larsson:
A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO. - Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. - Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Models for Text Generation: A Survey. - Houssam-Eddine Zahaf, Ignacio Sanudo Olmedo, Jayati Singh, Nicola Capodieci, Sébastien Faucou:
Contention-Aware GPU Partitioning and Task-to-Partition Allocation for Real-Time Workloads. - Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström:
Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses. - Illia Oleksiienko, Alexandros Iosifidis:
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. - David M. Bossens, Danesh Tarapore:
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution. - Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara:
The Strategy Behind Anti-Vaxxers' Reply Behavior on Social Media. - Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang:
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. - Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher:
Behind the leaves - Estimation of occluded grapevine berries with conditional generative adversarial networks. - Divneet Kaur, Bashir Mohammed, Mariam Kiran:
NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds. - Aharon Fruchtman, Yoav Gross, Shmuel T. Klein, Dana Shapira:
Weighted Burrows-Wheeler Compression. - Jia-Chen Wang, Ding Ding, Huan Wang, Conrad Christensen, Zhaoguo Wang, Haibo Chen, Jinyang Li:
Polyjuice: High-Performance Transactions via Learned Concurrency Control. - Zhangyu Guan, Lorenzo Bertizzolo, Emrecan Demirors, Tommaso Melodia:
WNOS: Enabling Principled Software-Defined Wireless Networking. - Steven Adams, Daniel Jarne Ornia, Manuel Mazo Jr.:
A Self-Guided Approach for Navigation in a Minimalistic Foraging Robotic Swarm. - Anthony S. Walker, Kyle E. Niemeyer:
The Two-Dimensional Swept Rule Applied on Heterogeneous Architectures. - Siru Ouyang, Zhuosheng Zhang, Hai Zhao:
Fact-driven Logical Reasoning. - Debasmit Das, Yash Bhalgat, Fatih Porikli:
Data-driven Weight Initialization with Sylvester Solvers. - Jerry Abayomi Sarumi, E. C. Onwubiko, O. L. A. Ogunjimi:
Infection in a Confined Space using an Agent-Based Model. - Dongchao Yang, Helin Wang, Yuexian Zou:
Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification. - Geesara Kulathunga:
A Reinforcement Learning based Path Planning Approach in 3D Environment. - Henderik A. Proper:
Interactive Query Formulation using Spider Queries. - Wenyu Chen, Mathias Drton, Ali Shojaie:
Definite Non-Ancestral Relations and Structure Learning. - Julien Gedeon, Martin Wagner, Karolis Skaisgiris, Florian Brandherm, Max Mühlhäuser:
Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants. - Peter Cihon, Moritz J. Kleinaltenkamp, Jonas Schuett, Seth D. Baum:
AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries. - Rob Claes, Elias Jarlebring, Karl Meerbergen, Parikshit Upadhyaya:
Linearizability of eigenvector nonlinearities. - Stanislaw Ambroszkiewicz, Waldemar Bartyna, Stanislaw Bylka:
Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Apps. - Asterios Leonidis, Maria Korozi, Vassilis Kouroumalis, Emmanouil Adamakis, Dimitris Milathianakis, Constantine Stephanidis:
Going Beyond Second Screens: Applications for the Multi-display Intelligent Living Room. - Pedro A. Moreno-Sánchez:
An Explainable Classification Model for Chronic Kidney Disease Patients. - Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. - Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez:
LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters. - Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini:
A Precise Performance Analysis of Support Vector Regression. - Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You:
An Efficient Training Approach for Very Large Scale Face Recognition. - Noemi David, Xinran Ruan:
An asymptotic preserving scheme for a tumor growth model of porous medium type. - Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Filters in Graph Convolutional Neural Networks. - Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson:
An Algorithm for Grant-Free Random Access in Cell-Free Massive MIMO. - Soubarna Banik, Alejandro Mendoza García, Alois C. Knoll:
3D Human Pose Regression using Graph Convolutional Network. - Charles K. Assaad, Emilie Devijver, Éric Gaussier:
Entropy-based Discovery of Summary Causal Graphs in Time Series. - Fabio Poiesi, Davide Boscaini:
Generalisable and distinctive 3D local deep descriptors for point cloud registration. - Leonid B. Sokolinsky, Irina M. Sokolinskaya:
FRaGenLP: A Generator of Random Linear Programming Problems for Cluster Computing Systems. - Ryan O'Donnell:
Analysis of Boolean Functions. - Vladislav Dorofeev:
Object-Process Methodology for Intelligent System Development. - Xingyu Lin, Yufei Wang, David Held:
Learning Visible Connectivity Dynamics for Cloth Smoothing. - Aarti Kashyap, Syed Mubashir Iqbal, Karthik Pattabiraman, Margo I. Seltzer:
ReLUSyn: Synthesizing Stealthy Attacks for Deep Neural Network Based Cyber-Physical Systems. - Matthew R. Walter, Siddharth Patki, Andrea F. Daniele, Ethan Fahnestock, Felix Duvallet, Sachithra Hemachandra, Jean Oh, Anthony Stentz, Nicholas Roy, Thomas M. Howard:
Language Understanding for Field and Service Robots in a Priori Unknown Environments. - Rémi Dulong, Rafael Pires, Andreia Correia, Valerio Schiavoni, Pedro Ramalhete, Pascal Felber, Gaël Thomas:
NVCache: A Plug-and-Play NVMM-based I/O Booster for Legacy Systems. - Joshua Ellul, Gordon J. Pace:
Towards External Calls for Blockchain and Distributed Ledger Technology. - Ozan Ozyegen, Devika Kabe, Mucahit Cevik:
Word-level Text Highlighting of Medical Texts forTelehealth Services. - Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka:
High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy. - Haoran Liu, Michael Neilan, M. Baris Otus:
A divergence-free finite element method for the Stokes problem with boundary correction. - Linan Cao, Simon J. Bale, Martin A. Trefzer:
Multi-objective Optimisation of Digital Circuits based on Cell Mapping in an Industrial EDA Flow. - Anum Masood:
Survey on Energy-Efficient Techniques for Wireless Sensor Networks. - Henry Kvinge, Brett A. Jefferson, Cliff A. Joslyn, Emilie Purvine:
Sheaves as a Framework for Understanding and Interpreting Model Fit. - Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondrej Bojar:
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining. - Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia:
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond. - Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman:
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. - Hufei Zhu:
Low-Memory Implementations of Ridge Solutions for Broad Learning System with Incremental Learning. - Huiwen Hu, Yuedong Xu:
SCSGuard: Deep Scam Detection for Ethereum Smart Contracts. - Saurabh Jaiswal, Shailendra Kumar Gupta, Soumya Soubhagya Dandapat:
Prefetcher-based DRAM Architecture. - Zihao Zhang, Stefan Zohren:
Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units. - Petr N. Vabishchevich:
Some methods for solving equations with an operator function and applications for problems with a fractional power of an operator. - Will Ma:
When is Assortment Optimization Optimal? - Barak Steindl, Meirav Zehavi:
Verification of Multi-Layered Assignment Problems. - Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis:
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning. - Dat Huynh, Ehsan Elhamifar:
Compositional Fine-Grained Low-Shot Learning. - John Preuß Mattsson, Prajwol Kumar Nakarmi:
Nori: Concealing the Concealed Identifier in 5G. - Timur M. Bagautdinov, Chenglei Wu, Tomas Simon, Fabian Prada, Takaaki Shiratori, Shih-En Wei, Weipeng Xu, Yaser Sheikh, Jason M. Saragih:
Driving-Signal Aware Full-Body Avatars. - Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. - Saber Kazeminasab, M. Katherine Banks:
A Localization and Navigation Method for an In-pipe Robot in Water Distribution System through Wireless Control towards Long-Distance Inspection. - Ric Real, James A. Gopsill, David Edward Jones, Chris Snider, Ben J. Hicks:
Distinguishing artefacts: evaluating the saturation point of convolutional neural networks. - Aïssatou Diallo, Johannes Fürnkranz:
Elliptical Ordinal Embedding. - David Cerezo Sánchez:
Pravuil: Global Consensus for a United World. - Boyan Xu, Hujun Yin:
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. - Nishesh Singh:
Setting Out a Software Stack Capable of Hosting a Virtual ROS-based Competition. - Yue Feng, Jia Yin:
Spatial resolution of different discretizations over long-time for the Dirac equation with small potentials. - Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi:
Generalization Error Bound for Hyperbolic Ordinal Embedding. - Mohamad H. Dinan, Nemanja Stefan Perovic, Mark F. Flanagan:
Sparse Layered MIMO with Iterative Detection. - Roxana Daneshjou, Carrie Kovarik, Justin M. Ko:
Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions. - Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang:
Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction. - Yanan Liu, Jianing Chen, Laurie Bose, Piotr Dudek, Walterio W. Mayol-Cuevas:
Bringing A Robot Simulator to the SCAMP Vision System. - Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu, Lifeng Sun:
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction. - Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria:
Conduit: A C++ Library for Best-effort High Performance Computing. - Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. - Josef B. Spjut, Ben Boudaoud, Joohwan Kim:
A Case Study of First Person Aiming at Low Latency for Esports. - Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu:
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection. - Amin Ghazanfari, Hei Victor Cheng, Emil Björnson, Erik G. Larsson:
Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO. - Periklis Kostamis, Andreas Sendros, Pavlos S. Efraimidis:
Exploring Ethereum's Data Stores: A Cost and Performance Comparison. - Alexander Mattick, Martin Mayr, Mathias Seuret, Andreas Maier, Vincent Christlein:
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators. - Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
BCNet: Searching for Network Width with Bilaterally Coupled Network. - Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter L. McMahon:
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection. - Tony Zhang, Szymon Zmyslony, Sergei Nozdrenkov, Matthew Smith, Brandon Hopkins:
Semi-Supervised Audio Representation Learning for Modeling Beehive Strengths. - Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck:
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge. - Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems. - Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis:
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning. - Maria Apostolaki, Vamsi Addanki, Manya Ghobadi, Laurent Vanbever:
FB: A Flexible Buffer Management Scheme for Data Center Switches. - Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Sachin S. Sapatnekar:
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching. - Valerii Semenets, Vagan Y. Terziyan, Svitlana Gryshko, Mariia Golovianko:
Assessment and Decision-Making in Universities: Analytics of the Administration-Staff Compromises. - Kanav Vats, Mehrnaz Fani, David A. Clausi, John S. Zelek:
Puck localization and multi-task event recognition in broadcast hockey videos. - Naama Ben-David, Kartik Nayak:
Classifying Trusted Hardware via Unidirectional Communication. - Michael McGuire, Chinmay Soman, Brian Diers, Girish Chowdhary:
High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis. - Aileen Nielsen:
Measuring Lay Reactions to Personal Data Markets. - Zack Dulberg, Taylor W. Webb, Jonathan Cohen:
Modelling the development of counting with memory-augmented neural networks. - Philip M. Long:
Properties of the After Kernel. - Sai Krishna Kanth Hari, Sivakumar Rathinam, Swaroop Darbha, Krishna Kalyanam, Satyanarayana Gupta Manyam, David W. Casbeer:
Bounds on Optimal Revisit Times in Persistent Monitoring Missions with a Distinct \& Remote Service Station. - Michael Tashman, John Hoffman, Jiayi Xie, Fengdan Ye, Atefeh Morsali, Lee Winikor, Rouzbeh Gerami:
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning. - Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian Leander Haufe, Peter Wolf, Lorenzo Masia, Robert Riener:
Soft robotic suits: State of the art, core technologies and open challenges. - Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy:
Detecting Treatment Effect Modifiers in Social Networks. - Jacob Imola, Kamalika Chaudhuri:
Privacy Amplification Via Bernoulli Sampling. - Adam Ganczorz, Tomasz Jurdzinski, Mateusz Lewko, Andrzej Pelc:
Deterministic Size Discovery and Topology Recognition in Radio Networks with Short Labels. - Jun Zeng, Zhongyu Li, Koushil Sreenath:
Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions. - Coen D. Needell, Wilma A. Bainbridge:
Embracing New Techniques in Deep Learning for Estimating Image Memorability. - Jayson Boubin, Codi Burley, Peida Han, Bowen Li, Barry Porter, Christopher Stewart:
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning. - Parag Pravin Dakle, Dan I. Moldovan:
CEREC: A Corpus for Entity Resolution in Email Conversations. - Shenjie Huang, Majid Safari:
Time-Gated Photon Counting Receivers for Optical Wireless Communication. - Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. - Yanjun Zhang, Hanyu Li:
Convergence directions of the randomized Gauss-Seidel method and its extension. - Benjamin Elizalde, Daniel Tompkins:
COVID-19 Detection Using Recorded Coughs in the 2021 DiCOVA Challenge. - Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, Qixing Huang:
HPNet: Deep Primitive Segmentation Using Hybrid Representations. - Tsvi Kopelowitz, Samuel McCauley, Ely Porat:
Support Optimality and Adaptive Cuckoo Filters. - Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. - Xin Yang, Yuhao Huang, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Chaoyu Chen, Yuanji Zhang, Haixia Wang, Yi Xiong, Dong Ni:
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound. - Amin Banitalebi-Dehkordi:
Revisiting Knowledge Distillation for Object Detection. - Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. - Mohammadreza Doostmohammadian, Themistoklis Charalambous, Miadreza Shafie-khah, Nader Meskin, Usman A. Khan:
Simultaneous Distributed Estimation and Attack Detection/Isolation in Social Networks: Structural Observability, Kronecker-Product Network, and Chi-Square Detector. - Mohammadreza Doostmohammadian, Themistoklis Charalambous, Miadreza Shafie-khah, Hamid R. Rabiee, Usman A. Khan:
Analysis of Contractions in System Graphs: Application to State Estimation. - Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. - Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. - Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. - A. N. Trahtman:
An algorithm to verify local threshold testability of deterministic finite automata. - Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin:
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. - Lu Zhang, Bin Wang, Vivek Sarin, Weiping Shi, P. R. Kumar, Le Xie:
An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification. - Purva Sharma, Vimal Bhatia, Shashi Prakash:
Securing Optical Networks using Quantum-secured Blockchain: An Overview. - Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson:
A Model Randomization Approach to Statistical Parameter Privacy. - Syed Waqas Haider Shah, Adnan Noor Mian, Shahid Mumtaz, Miaowen Wen, T. Hong, Michel Kadoch:
Protocol Stack Perspective For Low Latency and Massive Connectivity in Future Cellular Networks. - Ruggero Lanotte, Massimo Merro, Andrei Munteanu:
Runtime Enforcement of Programmable Logic Controllers. - Tanveer Khan, Antonis Michalas, Adnan Akhunzada:
SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread? - Satoshi Sunada, Atsushi Uchida:
Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing. - V. Jain, Marc Gerritsma:
Estimation and numerical validation of inf-sup constant for bilinear form (p, div u). - Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien:
Video-based Person Re-identification without Bells and Whistles. - Mark Asch, François Bodin, Micah Beck, Terry Moore, Michela Taufer, Jean-Pierre Vilotte:
Cybercosm: New Foundations for a Converged Science Data Ecosystem. - Haitong Ma, Yang Guan, Shengbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen:
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety. - Vincent Estrade, Michel Daudon, Emmanuel Richard, Jean-Christophe Bernhard, Franck Bladou, Gregoire Robert, Baudouin Denis de Senneville:
Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images. - Sanjiva Prasad, R. Madhukar Yerraguntla:
Normalising Lustre Preserves Security. - Gözde Filiz, M. Oguzhan Külekci:
An Algorithm for Reordering Buffer Management Problem and Experimental Evaluations on Discrete Distributions. - Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh:
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture. - Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu:
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging. - Yulin Shao, Soung Chang Liew, Deniz Gündüz:
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation. - Eloi Martins, José Henrique Brito:
Soccer Player Tracking in Low Quality Video. - Aydan Gasimova, Giovanni Montana, Daniel Rueckert:
Automated Knee X-ray Report Generation. - Chunlin Wu, Xuan Lin, Yufei Zhao:
On anisotropic non-Lipschitz restoration model: lower bound theory and convergent algorithm. - Mojtaba Hosseini, Vijay V. Vazirani:
Nash-Bargaining-Based Models for Matching Markets, with Implementations and Experimental Results. - Yifan Jia, Jingyi Wang, Christopher M. Poskitt, Sudipta Chattopadhyay, Jun Sun, Yuqi Chen:
Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems. - Tirtharaj Dash, Ashwin Srinivasan, A. Baskar:
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment. - Harsh Tataria, Erik L. Bengtsson, Ove Edfors, Fredrik Tufvesson:
27.5-29.5 GHz Switched Array Sounder for Dynamic Channel Characterization: Design, Implementation and Measurements. - Chittaranjan Swain, Manmath Narayan Sahoo, Anurag Satpathy:
SPATO: A Student Project Allocation Based Task Offloading in IoT-Fog Systems. - Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis:
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. - Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang:
Learning Baseline Values for Shapley Values. - Raghav Mittal, Sai Anirudh Karre, Y. Raghu Reddy:
Designing Limitless Path in Virtual Reality Environment. - Anand Kalvit, Assaf Zeevi:
From Finite to Countable-Armed Bandits. - Adeb Salh, Nor Shahida Mohd Shah, Lukman Audah, Qazwan Abdullah, Noorsaliza Abdullah, Shipun A. Hamzah, Abdu Saif:
Trade-off Energy and Spectral Efficiency in 5G Massive MIMO System. - Changqing Xu, Yi Liu, Xinfang Liao, Jialiang Cheng, Yintang Yang:
Machine Learning Regression based Single Event Transient Modeling Method for Circuit-Level Simulation. - Shahab Saquib Sohail, Mohammad Muzammil Khan, Mohd Arsalan, Aslam Khan, Jamshed Siddiqui, Syed Hamid Hasan, M. Afshar Alam:
Crawling Twitter data through API: A technical/legal perspective. - Garip Kusoglu, Bérenger Bramas, Stéphane Genaud:
Automatic task-based parallelization of C++ applications by source-to-source transformations. - Manish Kumar, Sumit Pramanick, Bijaya K. Panigrahi:
Reduction in Circulating Current with Improved Secondary Side Modulation in Isolated Current-Fed Half Bridge AC-DC Converter. - Abdelrahman S. Elgamal, Osama Zwaid Alsulami, Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Q-learning algorithm for resource allocation in WDMA-based optical wireless communication networks. - Pablo E. Torres, Philip I. N. Ulrich, Veronica Cucuiat, Mutlu Cukurova, Maria Fercovic De la Presa, Rose Luckin, Amanda Carr, Thomas Dylan, Abigail Durrant, John Vines, Shaun W. Lawson:
A systematic review of physical-digital play technology and developmentally relevant child behaviour. - Mina Khan, Pattie Maes:
PAL: Intelligence Augmentation using Egocentric Visual Context Detection. - Mohammad Muzammil Khan, Shahab Saquib Sohail, Darakhshan Ishrat:
How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia. - Michele Chiari, Dino Mandrioli, Matteo Pradella:
A First-Order Complete Temporal Logic for Structured Context-Free Languages. - Azin Shamshirgaran, Hamed Javidi, Dan Simon:
Tuning of Drone PD Controller Parameters for Medical Supplies Delivery. - Ajinkya Gaikwad, Soumen Maity, Shuvam Kant Tripathi:
Parameterized Complexity of Locally Minimal Defensive Alliances. - Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick:
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. - Mahdi Shakiba-Herfeh, Laura Luzzi, Arsenia Chorti:
Finite Blocklength Secrecy Analysis of Polar and Reed-Muller Codes in BEC Semi-Deterministic Wiretap Channels. - Michael Carroll, Ethan Osborne, Caglar Yildirim:
Effects of VR Gaming and Game Genre on Player Experience. - Sai Teja Suggala, Siddhartha Pothukuchi, Naimat Ali Khan:
A Heuristic Approach to Efficient Deployment of SDN assisted UAV communication systems considering UAV Placement, Energy Consumption and Traffic Congestion. - Caglar Yildirim, Tara O'Grady:
The Efficacy of a Virtual Reality-Based Mindfulness Intervention. - Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy:
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. - Hilmar Elverhøy, Steinar Bøe, Vegard Søyseth, Tønnes Nygaard:
Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits. - Zachary Abel, Erik D. Demaine, Martin L. Demaine, Jason S. Ku, Jayson Lynch, Jin-ichi Itoh, Chie Nara:
Continuous Flattening of All Polyhedral Manifolds using Countably Infinite Creases. - Sariel Har-Peled, Timothy Zhou:
How Packed Is It, Really? - Tao Teng, Miguel Fernandes, Matteo Gatti, Stefano Poni, Claudio Semini, Darwin G. Caldwell, Fei Chen:
Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation. - Maria Mannone, Davide Rocchesso:
Quanta in sound, the sound of quanta: a voice-informed quantum theoretical perspective on sound. - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-label Classification. - Srinjita Bhaduri, Peter Gyory, Tamara Sumner:
3ARVisualizer: Debugging 3D Models using Augmented Reality. - Maria Vitória R. Oliveira, Islene C. Garcia:
Sugestões de Rotas Personalizadas para Carrinheiros na Coleta Seletiva de Materiais Recicláveis. - Henri Tomas, Marcus Reyes, Raimarc S. Dionido, Mark Ty, Jonric Mirando, Joel Casimiro, Rowel Atienza, Richard Guinto:
GOO: A Dataset for Gaze Object Prediction in Retail Environments. - Farid Javani, Alan T. Sherman:
AOT: Anonymization by Oblivious Transfer. - Sree Ram Kamabattula, Kumudha Musini, Babak Namazi, Ganesh Sankaranarayanan, Venkat Devarajan:
Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks. - Alexander Brandt, Marc Moreno Maza:
On the Complexity and Parallel Implementation of Hensel's Lemma and Weierstrass Preparation. - Gabriele Pisciotta, Miriana Somenzi, Elisa Barisani, Giulio Rossetti:
Sockpuppet Detection: a Telegram case study. - Shadab Hussain, Susmith Barigidad, Shadab Akhtar, Md Suaib:
Novel Deep Learning Architecture for Heart Disease Prediction using Convolutional Neural Network. - Artjoms Sinkarovs, Jesper Cockx:
Choosing is Losing: How to combine the benefits of shallow and deep embeddings through reflection. - Yasin Yazicioglu, Alberto Speranzon:
High Dimensional Robust Consensus over Networks with Limited Capacity. - Jieqian He, Matthew J. Hirn:
Texture synthesis via projection onto multiscale, multilayer statistics. - Sandra Vaz, Delfim F. M. Torres:
A dynamically-consistent nonstandard finite difference scheme for the SICA model. - Ivan D. Rodriguez, Blai Bonet, Javier Romero, Hector Geffner:
Learning First-Order Representations for Planning from Black-Box States: New Results. - Hewei Wang, Muhammad Salman Pathan, Soumyabrata Dev:
Stereo Matching Based on Visual Sensitive Information. - Dietmar Offenhuber, Sam Auinger:
Distancing interfaces - improvisational media architectures for place-based discourse under lockdown. - Hamidreza Sharifi Moghaddam, Reza Dashti, Abolfazl Ahmadi:
Dynamic Evaluation of Power Distribution Lines for Determining the Number of Repair Teams and Prioritizing the Resolution of Faults Caused by High-Impact Low-Probability Events. - Shuangjun Liu, Naveen Sehgal, Sarah Ostadabbas:
Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data. - Stuart Eiffert, Alexander Wendel, Peter Colborne-Veel, Nicholas Leong, John Gardenier, Nathan Kirchner:
Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries. - Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. - Stuart Eiffert, Nathan D. Wallace, He Kong, Navid Pirmarzdashti, Salah Sukkarieh:
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture. - Alvin Ramoutar, Zohreh Motamedi, Mouhamed Abdulla:
Latency of Concatenating Unlicensed LPWAN with Cellular IoT: An Experimental QoE Study. - My Ha Dao, Hoang Huy Nguyen:
Projection-Based Reduced Order Model and Machine Learning Closure for Transient Simulations of High-Re Flows. - Yong Wang, Zhuo Liu, Leo Yu Zhang, Fabio Pareschi, Gianluca Setti, Guanrong Chen:
From Chaos to Pseudo-Randomness: A Case Study on the 2D Coupled Map Lattice. - Dipika Singhania, Rahul Rahaman, Angela Yao:
Coarse to Fine Multi-Resolution Temporal Convolutional Network. - Pan Chen, Danfeng Hong, Zhengchao Chen, Xuan Yang, Baipeng Li, Bing Zhang:
FCCDN: Feature Constraint Network for VHR Image Change Detection. - Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
RST Parsing from Scratch. - Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Hypergraph Pre-training with Graph Neural Networks. - Zeinab Rouhollahi:
Towards Artificial Intelligence Enabled Financial Crime Detection. - Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung:
CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation. - Phuoc Thanh Tran Ngoc, Duc Long Le, Bing Sheng Chong, Huu Duoc Nguyen, Van Than Dung, Feng Cao, Yao Li, Kazuki Kai, Jia Hui Gan, Vo Doan Tat Thang, T. Luan Nguyen, Hirotaka Sato:
Insect-Computer Hybrid System Capable of Autonomous Navigation and Human Detection in Unknown Environments. - Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. - Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. - Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No:
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. - Yang Li, Hermawan Mulyono, Ying Chen, Zhiyin Lu, Desmond Chan:
RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US. - Guoliang Hua, Wenhao Li, Qian Zhang, Runwei Ding, Hong Liu:
Weakly-supervised Cross-view 3D Human Pose Estimation. - Shaoming Huang, Yong Zhou, Ting Wang, Yuanming Shi:
Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation. - Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. - Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li:
VS-Net: Voting with Segmentation for Visual Localization. - Sherlock A. Licorish, Stephen G. MacDonell:
What can developers' messages tell us? A psycholinguistic analysis of Jazz teams' attitudes and behavior patterns. - Aso Validi, Cristina Olaverri-Monreal:
Simulation-Based Impact of Connected Vehicles in Platooning Mode on Travel Time, Emissions and Fuel Consumption. - Michael Franklin Bosu, Stephen G. MacDonell:
Data Quality in Empirical Software Engineering: A Targeted Review. - Bharat Adsul, Paul Gastin, Saptarshi Sarkar, Pascal Weil:
Asynchronous wreath product and cascade decompositions for concurrent behaviours. - Tony Clear, Bilal Raza, Stephen G. MacDonell:
A Critical Evaluation of Failure in a Nearshore Outsourcing Project: What dilemma analysis can tell us. - Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte:
Modeling Collective Anticipation and Response on Wikipedia. - Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof:
A frequency domain approach for local module identification in dynamic networks. - Ikram Kourbane, Yakup Genc:
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks. - Ikram Kourbane, Yakup Genc:
Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation. - Unnikrishnan Menon, Anirudh Rajiv Menon:
An Efficient Application of Neuroevolution for Competitive Multiagent Learning. - David Tuckey, Alessandra Russo, Krysia Broda:
PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. - Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. - Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar:
A Query Language for Summarizing and Analyzing Business Process Data. - Dustin Wright, Isabelle Augenstein:
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. - Yehuda Shen Bachar, Ofer Amrani:
Graph-based Detection of Multiuser Impulse Radio Systems. - Dominique Unruh:
Quantum and classical registers. - Evangelos Mantas, Constantinos Patsakis:
Who Watches the New Watchmen? The Challenges for Drone Digital Forensics Investigations. - Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. - Lu He, Qianyu Zhou, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao Li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, Liqing Zhang:
End-to-End Video Object Detection with Spatial-Temporal Transformers. - Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen:
OntoED: Low-resource Event Detection with Ontology Embedding. - Mayukh Bagchi:
Towards Knowledge Organization Ecosystems. - Zhiqiang Shen, Chaonan Lin, Shaohua Zheng:
COTR: Convolution in Transformer Network for End to End Polyp Detection. - Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Boosting Crowd Counting with Transformers. - Benjamin K. Tapley:
On the preservation of second integrals by Runge-Kutta methods. - Iris van der Giessen, Raheleh Jalali, Roman Kuznets:
Uniform interpolation via nested sequents and hypersequents. - Bailu Wang, Suqi Li, Giorgio Battistelli, Luigi Chisci, Wei Yi:
Principled information fusion for multi-view multi-agent surveillance systems. - Marco Visca, Sampo Kuutti, Roger S. Powell, Yang Gao, Saber Fallah:
Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments. - Guillaume Boisseau, Filippo Bonchi, Alessandro Di Giorgio, Pawel Sobocinski:
Diagrammatic Polyhedral Algebra. - Xiaoyan Jing, Shiyuan Qiang, Minghui Yang, Keqin Feng:
Determination of the Autocorrelation Distribution and 2-Adic Complexity of Generalized Cyclotomic Binary Sequences of Order 2 with Period pq. - Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu:
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. - Konstantin Sidorov, Alexander Morozov:
A review of approaches to modeling applied vehicle routing problems. - Zhuosheng Zhang, Hai Zhao:
Structural Pre-training for Dialogue Comprehension. - Yu Zhang, Chen Zhang, Xu Cai:
Large-Signal Grid-Synchronization Stability Analysis of PLL-based VSCs Using Lyapunov's Direct Method. - Mohamed Hamama:
A Study imbalance handling by various data sampling methods in binary classification. - Raimund Bürger, Julio Careaga, Stefan Diehl, Romel Pineda:
A moving-boundary model of reactive settling in wastewater treatment. - Alejandro Maldonado, Cristian Bueno, David Loza, Alexander Ibarra:
Design, Construction and Implementation of Stewart Platform with Control of Rolling Ball on Platform through Artificial Vision. - Joel Oksanen, Oana Cocarascu, Francesca Toni:
Automatic Product Ontology Extraction from Textual Reviews. - Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde:
HOME: Heatmap Output for future Motion Estimation. - Bulut Aygünes, Ramazan Gökberk Cinbis, Selim Aksoy:
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification. - Milagros Miceli, Julian Posada:
Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision. - Nir Greshler, Ofir Gordon, Oren Salzman, Nahum Shimkin:
Cooperative Multi-Agent Path Finding: Beyond Path Planning and Collision Avoidance. - Shuangjun Liu, Xiaofei Huang, Nihang Fu, Sarah Ostadabbas:
Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth. - Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez:
Neuronal Jamming Cyberattack over Invasive BCI Affecting the Resolution of Tasks Requiring Visual Capabilities. - Nathan J. McNeese, Beau G. Schelble, Lorenzo Barberis Canonico, Mustafa Demir:
Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming. - Zhanshan (Sam) Ma:
Coupling Power Laws Offers a Powerful Method for Problems such as Biodiversity and COVID-19 Fatality Predictions. - Aleksandros Sobczyk, Efstratios Gallopoulos:
Estimating leverage scores via rank revealing methods and randomization. - Gil Shomron, Freddy Gabbay, Samer Kurzum, Uri C. Weiser:
Post-Training Sparsity-Aware Quantization. - Mohammed Jouhari, Abdulla K. Al-Ali, Emna Baccour, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Mounir Hamdi:
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization. - Yecheng Lyu, Xinming Huang, Ziming Zhang:
Revisiting 2D Convolutional Neural Networks for Graph-based Applications. - Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. - Pascal Fischer, Alen Smajic, Alexander Mehler, Giuseppe Abrami:
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations. - Ramish, Farah Kanwal, Siraj Ali, Nida Ali:
Design and Development of a Prototype Robotic Gripper. - John Y. Shin:
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds. - Milad Khademi Nori, Sangseok Yun, Il-Min Kim:
Fast Federated Learning by Balancing Communication Trade-Offs. - Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan:
Multilayer Resource-aware Partitioning for Fog Application Placement. - Rajath Chikkatur Srinivasa, Supriya Arun, Lauren James, Ying Zhu:
Visualization - a vital decision driving tool for enterprises. - Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh:
Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System. - Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification. - Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju:
Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. - Dominik Kempa, Ben Langmead:
Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing. - Bruno G. C. Lima, Lucas Amaral, Givanildo Nascimento Jr., Victor Mafra, Bruno Georgevich Ferreira, Tiago F. Vieira, Thales Vieira:
User-oriented Natural Human-Robot Control with Thin-Plate Splines and LRCN. - Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Deep Visual Anomaly detection with Negative Learning. - Gustavo A. Salazar-Gomez, Miguel A. Saavedra-Ruiz, Victor A. Romero-Cano:
High-level camera-LiDAR fusion for 3D object detection with machine learning. - Tolijan Trajanovski, Ning Zhang:
An Automated and Comprehensive Framework for IoT Botnet Detection and Analysis (IoT-BDA). - Ting Pan, Zhuqing Jiang, Jianan Han, Shiping Wen, Aidong Men, Haiying Wang:
Taylor saves for later: disentanglement for video prediction using Taylor representation. - Saeed Taheri, Ganesh Gopalakrishnan:
Automated Dynamic Concurrency Analysis for Go. - Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi:
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. - Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. - Fangfang Liu, Jia-Huai You:
Alternating Fixpoint Operator for Hybrid MKNF Knowledge Bases as an Approximator of AFT. - Chen Luo, Michael J. Carey:
DynaHash: Efficient Data Rebalancing in Apache AsterixDB (Extended Version). - N. C. Shrikanth, Tim Menzies:
The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors. - Alexei Baevski, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Unsupervised Speech Recognition. - Haijin Wang, Caomingzhe Si, Junhua Zhao:
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection. - Jabeen Summaira, Xi Li, Amin Muhammad Shoib, Songyuan Li, Abdul Jabbar:
Recent Advances and Trends in Multimodal Deep Learning: A Review. - Wensheng Zhang, Yan Zheng, Taiga Miyazono, Seiichi Uchida, Brian Kenji Iwana:
Towards Book Cover Design via Layout Graphs. - Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi:
Belief Space Planning: A Covariance Steering Approach. - Maedeh Jamali, Nader Karimi, Pejman Khadivi, Shahram Shirani, Shadrokh Samavi:
Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps. - Navneet Taunk, Naveen Kumar Mall, Ajay Pratap:
Criticality and Utility-aware Fog Computing System for Remote Health Monitoring. - Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. - Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu:
Federated Graph Learning - A Position Paper. - Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu:
Dissecting Click Fraud Autonomy in the Wild. - Ravi Suman, Ananth Krishnamurthy:
Conditional Waiting Time Analysis in Tandem Polling Queues. - Rajitha Senanayake, Peter J. Smith, Tian Han, Jamie S. Evans, William Moran, Robin J. Evans:
Frequency Permutations for Joint Radar and Communications. - Yi Liu, Limin Wang, Xiao Ma, Yali Wang, Yu Qiao:
FineAction: A Fined Video Dataset for Temporal Action Localization. - Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model based Ranking in Baidu Search. - Wentong Li, Jianke Zhu:
Oriented RepPoints for Aerial Object Detection. - Bi Li, Teng Xi, Gang Zhang, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Wenyu Liu:
Dynamic Class Queue for Large Scale Face Recognition In the Wild. - Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan:
Self-Attention Networks Can Process Bounded Hierarchical Languages. - John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. - Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage:
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention. - Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Qi Tian:
A Fourier-based Framework for Domain Generalization. - Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong:
Heterogeneous Graph Representation Learning with Relation Awareness. - Kun Wang, Jing Dong, Baoxiang Wang, Shuai Li, Shuo Shao:
Cascading Bandit under Differential Privacy. - Guoqiang Liang, Yanbing Lv, Shucheng Li, Shizhou Zhang, Yanning Zhang:
Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network. - Durgesh Agrawal, Yash Pote, Kuldeep S. Meel:
Partition Function Estimation: A Quantitative Study. - Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu, Qi Zhang:
One2Set: Generating Diverse Keyphrases as a Set. - Jieyu Lin, Jiajie Zou, Nai Ding:
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models. - Tianxiang Ma, Dongze Li, Wei Wang, Jing Dong:
Face Anonymization by Manipulating Decoupled Identity Representation. - Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Improved OOD Generalization via Adversarial Training and Pre-training. - Thomas Wick:
Adjoint-based methods for optimization and goal-oriented error control applied to fluid-structure interaction: implementation of a partition-of-unity dual-weighted residual estimator for stationary forward FSI problems in deal.II. - Luigi Bellomarini, Emanuel Sallinger:
Harmless but Useful: Beyond Separable Equality Constraints in Datalog+/-. - Felicien Ihirwe:
CHESSIoT support of event-based modeling for the Internet of Things applications. - Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. - Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney:
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
AirNet: Neural Network Transmission over the Air. - Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan:
Human-centric Relation Segmentation: Dataset and Solution. - Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. - Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Context-Preserving Text Simplification. - Yuyan Wu, Haimin Guo, Hongwei Song, Rui Deng:
Fuzzy inference system application for oil-water flow patterns identification. - Sanjeev Gurugopinath, Sami Muhaidat, Rajalekshmi Kishore, Paschalis C. Sofotasios, Faissal El Bouanani, Halim Yanikomeroglu:
Interplay Between NOMA and GSSK: Detection Strategies and Performance Analysis. - André Mateus, Omar Tahri, A. Pedro Aguiar, Pedro U. Lima, Pedro Miraldo:
On Incremental Structure-from-Motion using Lines. - Hongru Liang, Huaqing Li:
Towards Standard Criteria for human evaluation of Chatbots: A Survey. - Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan D. Wegner:
Mapping oil palm density at country scale: An active learning approach. - Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. - Avinash Mohan, Arpan Chattopadhyay, Shivam Vinayak Vatsa, Anurag Kumar:
Decentralized, Hybrid MAC Design with Reduced State Information Exchange for Low-Delay IoT Applications. - Santiago González, Alvaro García, Ana Núñez:
CONECT4: Desarrollo de componentes basados en Realidad Mixta, Realidad Virtual Y Conocimiento Experto para generación de entornos de aprendizaje Hombre-Máquina. - Sidra Malik, Naman Gupta, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
TradeChain: Decoupling Traceability and Identity inBlockchain enabled Supply Chains. - Parth Patwa, Srinivas PYKL, Amitava Das, Prerana Mukherjee, Viswanath Pulabaigari:
Hater-O-Genius Aggression Classification using Capsule Networks. - Imad Kissami, Christophe Cérin, Fayssal Benkhaldoun, Gilles Scarella:
Towards Parallel CFD computation for the ADAPT framework. - Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank:
De-identification of Privacy-related Entities in Job Postings. - Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo:
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. - Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. - Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng:
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. - Marcus N. Boon, Hans-Christian Ruiz Euler, Tao Chen, Bram van de Ven, Unai Alegre Ibarra, Peter A. Bobbert, Wilfred G. van der Wiel:
Gradient Descent in Materio. - Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin:
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking. - Saeed Bajalan, Nastaran Bajalan:
Novel ANN method for solving ordinary and fractional Black-Scholes equation. - Ziyun Wang, Xuan Liu, Peiji Yang, Shixing Liu, Zhisheng Wang:
Cross-lingual Text Classification with Heterogeneous Graph Neural Network. - Linan Cao, Simon J. Bale, Martin A. Trefzer:
Multi-objective Digital Design Optimisation via Improved Drive Granularity Standard Cells. - Biswajit Sanyal, Subhashis Majumder, Priya Ranjan Sinha Mahapatra:
Efficient Reporting of Top-k Subset Sums. - Espen Sande, Carla Manni, Hendrik Speleers:
Ritz-type projectors with boundary interpolation properties and explicit spline error estimates. - Anthony Bellotti:
Optimized conformal classification using gradient descent approximation. - Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. - Andrew Halterman, Benjamin J. Radford:
Few-Shot Upsampling for Protest Size Detection. - Andrea Fronzetti Colladon, Peter A. Gloor, Domenica Fioredistella Iezzi:
Editorial introduction: The power of words and networks. - Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Argumentative XAI: A Survey. - Alasdair Hill, Ekaterina Komendantskaya, Matthew L. Daggitt, Ronald P. A. Petrick:
Actions You Can Handle: Dependent Types for AI Plans. - Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu:
Neural Machine Translation with Monolingual Translation Memory. - Wenqin Zhang, Deng Tang, Yuan Luo:
Constructions of Binary Optimal Locally Repairable Codes via Intersection Subspaces. - Mingxi Yin, Bingli Jiao, Dongsheng Zheng, Yuli Yang:
A Practical Consideration on Convex Mutual Information. - Bingli Jiao, Mingxi Yin, Yuli Yang:
Application of Opportunistic Bit to Multilevel Codes. - Agostino La Bella, Andrea Fronzetti Colladon, Elisa Battistoni, Silvia Castellan, Matteo Francucci:
Assessing perceived organizational leadership styles through twitter text mining. - André Victória Matias, João Gustavo Atkinson Amorim, Luiz Antonio Buschetto Macarini, Allan Cerentini, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Felipe Perozzo Daltoé, Marcelo Ricardo Stemmer, Aldo von Wangenheim:
What is the State of the Art of Computer Vision-Assisted Cytology? A Systematic Literature Review. - Eugene Valassakis, Norman Di Palo, Edward Johns:
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace. - Moussa Ziggaf, Mohamed Boubekeur, Imad Kissami, Fayssal Benkhaldoun, Imad Elmahi:
The FVC scheme on unstructured meshes for the two-dimensional Shallow Water Equations. - Tatsuya Iwase, Enrico H. Gerding, Sebastian Stein:
A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism. - Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang:
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection. - Peter Wallis:
Introducing the Talk Markup Language (TalkML): Adding a little social intelligence to industrial speech interfaces. - Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng:
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. - Barbara Plank, Kristian Nørgaard Jensen, Rob van der Goot:
DaN+: Danish Nested Named Entities and Lexical Normalization. - Fayssal Benkhaldoun, Christophe Cérin, Imad Kissami, Walid Saad:
Challenges of Translating HPC codes to Workflows for Heterogeneous and Dynamic Environments. - Deng Li, Yue Wu, Yicong Zhou:
LineCounter: Learning Handwritten Text Line Segmentation by Counting. - Henderik Alex Proper, Theo P. van der Weide:
A General Theory for the Evolution of Application Models - Full version. - Chen-Xin Qin, Ru-Hao Liu, Mao-Cai Li, Chichun Zhou, Yi-Liua:
An Effective and Efficient Method to Solve the High-Order and the Non-Linear Ordinary Differential Equations: the Ratio Net. - Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin:
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model. - Arash Bahari Kordabad, Sebastien Gros:
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning. - Milan Straka, Jakub Náplava, Jana Straková, David Samuel:
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model. - Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. - Kasra Hosseini, Kaspar Beelen, Giovanni Colavizza, Mariona Coll Ardanuy:
Neural Language Models for Nineteenth-Century English. - Mu Yuan, Dabin Zheng, Yanping Wang:
Two-to-one mappings and involutions without fixed points over F2n. - Henry Charlesworth, Adrian Millea, Eddie Pottrill, Rich Riley:
Room Clearance with Feudal Hierarchical Reinforcement Learning. - Jue Wang, Xuanxuan Wang, Ruifeng Gao, Chengleyang Lei, Wei Feng, Ning Ge, Shi Jin, Tony Q. S. Quek:
Physical Layer Security for UAV Communications in 5G and Beyond Networks. - Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Edward Choi:
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training. - Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun:
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. - Akshay Kamath, Eric Price, David P. Woodruff:
A Simple Proof of a New Set Disjointness with Applications to Data Streams. - Yoonsang Lee:
Sampling error correction in ensemble Kalman inversion. - Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math KCs via Task-Adaptive Pre-Trained BERT. - Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. - Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon:
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. - Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De, Tanik Saikh, Asif Ekbal:
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task. - Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
PROPm Allocations of Indivisible Goods to Multiple Agents. - Petr Hruby, Tomás Pajdla:
Reconstructing Small 3D Objects in front of a Textured Background. - Payam Karisani, Jinho D. Choi, Li Xiong:
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. - Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner:
Learning Security Classifiers with Verified Global Robustness Properties. - Shivam Shah, Nikhil Kasukurthi, Harshit Pande:
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening. - Daniel Wontae Nam, Younghoon Kim, Chan Y. Park:
GMAC: A Distributional Perspective on Actor-Critic Framework. - Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. - Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan:
Large-Scale Attribute-Object Compositions. - Ming-Hsun Yang, Y.-W. Peter Hong, Jwo-Yuh Wu:
Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval. - Simon N. Chandler-Wilde, Euan A. Spence:
Coercivity, essential norms, and the Galerkin method for second-kind integral equations on polyhedral and Lipschitz domains. - Maayan Goldstein, Cecilia González-Alvarez:
Augmenting Modelers with Semantic Autocompletion of Processes. - Ezio Bartocci, Luca Bortolussi, Laura Nenzi, Michele Loreti:
A Logic for Monitoring Dynamic Networks of Spatially-distributed Cyber-Physical Systems. - Debanjali Biswas, Mohnish Dubey, Md. Rashad Al Hasan Rony, Jens Lehmann:
VANiLLa : Verbalized Answers in Natural Language at Large Scale. - Jakub Náplava, Milan Straka, Jana Straková:
Diacritics Restoration using BERT with Analysis on Czech language. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
From Base Data To Knowledge Discovery - A Life Cycle Approach - Using Multilayer Networks. - Kiran Purohit, Owais Iqbal, Ankan Mullick:
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation. - Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran:
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. - Weiqi Zhang, Victor M. Zavala:
An Electricity Market Clearing Formulation for Harnessing Space-Time, Load-Shifting Flexibility from Data Centers. - Sahil Singla, Soheil Feizi:
Skew Orthogonal Convolutions. - Ruijiang Gao, Maytal Saar-Tsechansky:
Cost-Accuracy Aware Adaptive Labeling for Active Learning. - Mengxiao Tian, Hao Guo, Chengjiang Long:
Multi-Level Attentive Convoluntional Neural Network for Crowd Counting. - Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Qixing Huang, Weiwei Xu:
Attention-guided Temporal Coherent Video Object Matting. - Yijiang Huang, Caelan Reed Garrett, Ian Ting, Stefana Parascho, Caitlin Mueller:
Robotic additive construction of bar structures: Unified sequence and motion planning. - Michael F. Zimmer:
2nd-order Updates with 1st-order Complexity. - Arren Glover, Aiko Dinale, Leandro de Souza Rosa, Simeon Bamford, Chiara Bartolozzi:
luvHarris: A Practical Corner Detector for Event-cameras. - Ethan Perez, Douwe Kiela, Kyunghyun Cho:
True Few-Shot Learning with Language Models. - Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo:
SAT: 2D Semantics Assisted Training for 3D Visual Grounding. - Zeheng Wang, Liang Li, Ross C. C. Leon, Arne Laucht:
Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation. - Hamidreza Sharifi Moghaddam, Reza Dashti, Abolfazl Ahmadi:
Managing HILP Consequences Using Dynamic Distribution System Asset Assessment. - Maxim A. Ziatdinov, Muammer Yusuf Yaman, Yongtao Liu, David Ginger, Sergei V. Kalinin:
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries. - Ernest Davis:
A Flawed Dataset for Symbolic Equation Verification. - Xiao-Yan Li, Wanling Lin, Jou-Ming Chang, Xiaohua Jia:
Transmission Failure Analysis of Multi-Protection Routing in Data Center Networks with Heterogeneous Edge-Core Servers. - Mohamadreza Sheibani, Ge Ou:
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference. - Rafael R. Teixeira, Juliana B. Puccinelli, Luis Poersch, Marcelo R. Pias, Vinicius Menezes de Oliveira, Ahmed Janati, Maxime Paris:
Towards Precision Aquaculture: A High Performance, Cost-effective IoT approach. - Matthieu Zins, Gilles Simon, Marie-Odile Berger:
3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation. - Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos A. Coello Coello:
On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain. - Erfan Aasi, Cristian Ioan Vasile, Mahroo Bahreinian, Calin Belta:
Inferring Temporal Logic Properties from Data using Boosted Decision Trees. - Jianjie Lin, Markus Rickert, Alois C. Knoll:
Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization. - Lu Zhang, Siyang Wang:
A high order finite difference method for the elastic wave equations in bounded domains with nonconforming interfaces. - Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, Leilani Battle:
Guided Hyperparameter Tuning Through Visualization and Inference. - David Carrera-Casado, Ramon Ferrer-i-Cancho:
The advent and fall of a vocabulary learning bias from communicative efficiency. - Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. - Monica Rotulo, Claudio De Persis, Pietro Tesi:
Online learning of data-driven controllers for unknown switched linear systems. - Rrezarta Krasniqi:
Recommending Bug-fixing Comments from Issue Tracking Discussions in Support of Bug Repair. - Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. - Francesco Oliveri:
ReLie: a Reduce program for Lie group analysis of differential equations. - Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu:
Graph Neural Network Based VC Investment Success Prediction. - T. J. Allen, Peter A. Gloor, Andrea Fronzetti Colladon, Stephanie L. Woerner, Ornit Raz:
The power of reciprocal knowledge sharing relationships for startup success. - Tao Tu, Qing Ping, Govind Thattai, Gökhan Tür, Prem Natarajan:
Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation. - Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal logic. - Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens, Negar Fani, Anuj Srivastava:
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD. - Hongjing Zhang, Ian Davidson:
Deep Descriptive Clustering. - Erico S. P. Lopes, Lukas T. N. Landau:
Discrete MMSE Precoding for Multiuser MIMO Systems with PSK Modulation. - Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli:
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. - Taylor Archibald, Mason Poggemann, Aaron Chan, Tony Martinez:
TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text. - Rachel Gehlhar, Je-Han Yang, Aaron D. Ames:
Model-Dependent Prosthesis Control with Real-Time Force Sensing. - Chamara Kattadige, Kanchana Thilakarathna:
VAD360: Viewport Aware Dynamic 360-Degree Video Frame Tiling. - Yanbing Mao, Naira Hovakimyan, Tarek F. Abdelzaher:
Dynamics of Public Opinion Evolution with Asymmetric Cognitive Bias. - Wei Du, Xintao Wu:
Robust Fairness-aware Learning Under Sample Selection Bias. - Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma:
Pan-sharpening via High-pass Modification Convolutional Neural Network. - Yi Zhang, Lu Zhang, Jing Zhang, Kang Wang, Wassim Hamidouche, Olivier Déforges:
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos. - Andrew Feutrill, Matthew Roughan:
NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator. - Ahmad Abu Al Haija, Min Dong, Ben Liang, Gary Boudreau:
Resource Allocation for Massive MIMO HetNets with Quantize-Forward Relaying. - Zackory Erickson, Henry M. Clever, Vamsee Gangaram, Eliot Xing, Greg Turk, C. Karen Liu, Charles C. Kemp:
Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction. - Hongzhi Du, Yanyan Li, Yanbiao Sun, Jigui Zhu, Federico Tombari:
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching. - Ayush Shrivastava, Karthik Gopalakrishnan, Yang Liu, Robinson Piramuthu, Gökhan Tür, Devi Parikh, Dilek Hakkani-Tür:
VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator. - Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya:
A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy, and Future Directions. - Guangquan Xu, Guohua Xin, Litao Jiao, Jian Liu, Shaoying Liu, Meiqi Feng, Xi Zheng:
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS. - Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. - Martin Saveski, Brandon Roy, Deb Roy:
The Structure of Toxic Conversations on Twitter. - Jackson Shields, Oscar Pizarro, Stefan B. Williams:
Feature Space Exploration For Planning Initial Benthic AUV Surveys. - Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato:
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance. - Lei Li, Yongfeng Zhang, Li Chen:
Personalized Transformer for Explainable Recommendation. - Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun:
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features. - Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang:
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields. - Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide:
Centimeter-Wave Free-Space Time-of-Flight Imaging. - Seung-Hwan Baek, Felix Heide:
Polarimetric Spatio-Temporal Light Transport Probing. - Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Zhichao Li, Le Zhang, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid:
Unsupervised Scale-consistent Depth Learning from Video. - Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia:
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. - Amartya Mukherjee:
A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem. - Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun:
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. - Yanjun Wang, Zixuan Li, Xiaokang Qiu, Sanjay G. Rao:
Comparative Synthesis: Learning Optimal Programs with Indeterminate Objectives. - Wen-Ming He, Hailong Guo:
Optimal maximum norm estimates for virtual element methods. - Shuhao Shi, Kai Qiao, Shuai Yang, Linyuan Wang, Jian Chen, Bin Yan:
AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification. - Zhiqiang Cai, Jingshuang Chen, Min Liu:
Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law. - Yuhao Chen, Guoqing Zhang, Yujiang Lu, Zhenxing Wang, Yuhui Zheng, Ruili Wang:
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search. - Zhiqiang Cai, Jingshuang Chen, Min Liu:
Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation. - Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin:
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm. - Bo Li, Qili Wang, Gim Hee Lee:
FILTRA: Rethinking Steerable CNN by Filter Transform. - Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, Abhishek Gupta, Marcello Canova:
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles. - Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. - Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song:
Feature Space Targeted Attacks by Statistic Alignment. - Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien:
Structured Convolutional Kernel Networks for Airline Crew Scheduling. - Bo Li:
On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud. - Ambareesh Ravi, Atharva Gokhale, Anchit Nagwekar:
Using Game Theory to maximize the chance of victory in two-player sports. - Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks. - Baris Sumengen, Anand Rajagopalan, Gui Citovsky, David Simcha, Olivier Bachem, Pradipta Mitra, Sam Blasiak, Mason Liang, Sanjiv Kumar:
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets. - Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. - Chen Shi, Xiangtai Li, Yanran Wu, Yunhai Tong, Yi Xu:
Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation. - Khizar Hameed, Mutaz Barika, Saurabh Kumar Garg, Muhammad Bilal Amin, Byeong Ho Kang:
A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues. - Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong, Zhengjun Zha, Lubin Weng:
BoundarySqueeze: Image Segmentation as Boundary Squeezing. - Weihong Lin, Qifang Gao, Lei Sun, Zhuoyao Zhong, Kai Hu, Qin Ren, Qiang Huo:
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents. - Andrea Baisero, Christopher Amato:
Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning. - Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang:
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network. - Mostafa Khalaji, Chitra Dadkhah, Joobin Gharibshah:
Hybrid Movie Recommender System based on Resource Allocation. - Daniela N. Rim, Inseon Jang, Heeyoul Choi:
Deep Neural Networks and End-to-End Learning for Audio Compression. - Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao:
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. - Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang:
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training. - Ruhui Chang, Duan-Shin Lee, Cheng-Shang Chang:
A Configuration Model with Triadic Closure. - Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. - Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing:
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction. - Mitsuru Funakoshi, Takuya Mieno:
Minimal unique palindromic substrings after single-character substitution. - Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li:
FNAS: Uncertainty-Aware Fast Neural Architecture Search. - Tatsuya Ide, Daisuke Kawahara:
Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation. - Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini:
LENs: a Python library for Logic Explained Networks. - Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. - Yingjue Chen, Yingnan Gu, Panfeng Li, Feng Lin:
Minimizing the Number of Wireless Charging PAD for UAV-Based Wireless Rechargeable Sensor Networks. - Zhao Yang, Mike Preuss, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. - Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider:
SBEVNet: End-to-End Deep Stereo Layout Estimation. - Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi:
Mixture of ELM based experts with trainable gating network. - Hyungmin Roh, Myungjoo Kang:
High-Frequency aware Perceptual Image Enhancement. - Pierre Fraigniaud, Ran Gelles, Zvi Lotker:
The Topology of Randomized Symmetry-Breaking Distributed Computing. - Inyong Koo, Minki Jeong, Changick Kim:
Improving Few-shot Learning with Weakly-supervised Object Localization. - Xieyuanli Chen, Thomas Läbe, Lorenzo Nardi, Jens Behley, Cyrill Stachniss:
Learning an Overlap-based Observation Model for 3D LiDAR Localization. - Guoqing Zhang, Yu Ge, Zhicheng Dong, Hao Wang, Yuhui Zheng, Shengyong Chen:
Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification. - Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch:
There is no data like more data - current status of machine learning datasets in remote sensing. - Bin Han, Yihua Xu, Di Feng, Vincenzo Sciancalepore, Hans D. Schotten:
Risk-Based Tenant Impatience for Privacy-Intolerant Queuing in B5G Cloud Services. - Nirmalya Sen, Md. Sahidullah, Hemant A. Patil, Shyamal Kumar Das Mandal, Krothapalli Sreenivasa Rao, Tapan Kumar Basu:
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework. - Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. - Meng-Jiun Chiou, Chun-Yu Liao, Liwei Wang, Roger Zimmermann, Jiashi Feng:
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. - Gersende Fort, Eric Moulines:
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning. - Robin Brochier, Frédéric Béchet:
Predicting Links on Wikipedia with Anchor Text Information. - Massimo Gallo, Alessandro Finamore, Gwendal Simon, Dario Rossi:
FENXI: Deep-learning Traffic Analytics at the Edge. - Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki:
Affine Transport for Sim-to-Real Domain Adaptation. - Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. - Lukas Huber, Jean-Jacques E. Slotine, Aude Billard:
Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd. - Jiahong Chen, Lachlan Urquhart:
'They're all about pushing the products and shiny things rather than fundamental security' Mapping Socio-technical Challenges in Securing the Smart Home. - Milad Alshomary, Shahbaz Syed, Martin Potthast, Henning Wachsmuth:
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. - Chenhao Liu, Zhiyuan Shao, Zeke Wang, Kexin Li, Minkang Wu, Jiajie Chen, Xiaofei Liao, Hai Jin:
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs. - Eugenio Moro, Ilario Filippini, Antonio Capone, Danilo De Donno:
Planning Mm-Wave Access Networks With Reconfigurable Intelligent Surfaces. - Igor Balaz, Tara Petric, Namid Stillman:
Towards open-ended evolutionary simulator for developing novel tumour drug delivery systems. - Emilio Gamba, Bart Bogaerts, Tias Guns:
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. - Nungduk Yun, Seiji Yamada:
Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot. - Daniele A. Di Pietro, Jérôme Droniou:
A DDR method for the Reissner-Mindlin plate bending problem on polygonal meshes. - Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam:
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering. - Taiga Nakano, Xuefeng Liu:
A posteriori local error estimation for finite element solutions of boundary value problems. - Colladon Fronzetti Colladon, G. Scettri:
Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks. - Xiangzhu Meng, Lin Feng, Chonghui Guo:
A unified framework based on graph consensus term for multi-view learning. - Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss:
Simple But Effective Redundant Odometry for Autonomous Vehicles. - Wen-ling Huang, Jan Peleska:
Complete Requirements-based Testing with Finite State Machines. - Jan Martens, Jan Friso Groote, Lars B. van den Haak, Pieter Hijma, Anton Wijs:
A linear parallel algorithm to compute bisimulation and relational coarsest partitions. - Bin Sun, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin, Xiaonan Luo:
GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition. - Jakob Struye, Filip Lemic, Jeroen Famaey:
Millimeter-Wave Beamforming with Continuous Coverage for Mobile Interactive Virtual Reality. - Diana C. Hernandez-Bocanegra, Jürgen Ziegler:
Effects of interactivity and presentation on review-based explanations for recommendations. - Edward Kim, Stanley Bak, Parasara Sridhar Duggirala:
Automatic Dynamic Parallelotope Bundles for Reachability Analysis of Nonlinear Systems. - Carlos Basto:
Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing. - Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. - Nikolaos Lykousas, Vasilios Koutsokostas, Fran Casino, Constantinos Patsakis:
The Cynicism of Modern Cybercrime: Automating the Analysis of Surface Web Marketplaces. - Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan:
PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map. - Mikhail N. Rybakov, Dmitry Shkatov:
Algorithmic properties of first-order modal logics of linear Kripke frames in restricted languages. - Firas Jarboui, Vianney Perchet:
A Generalised Inverse Reinforcement Learning Framework. - Constantine C. Doumanidis, Christina Anagnostou, Evangelia-Sofia Arvaniti, Anthi Papadopoulou:
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features. - Coralia Cartis, Jan Fiala, Zhen Shao:
Hashing embeddings of optimal dimension, with applications to linear least squares. - Ozioma Paul, Patrick E. McSharry:
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos. - Feilong Zhang:
Model-Free Adaptive Control Compensated with Disturbance. - Thomas Orton:
Payment Does Not Imply Consensus (For Distributed Payment Systems). - Andrea Sixto-Costoya, Nicolás Robinson-García, Thed N. van Leeuwen, Rodrigo Costas:
Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion. - Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. - George Danezis, Eleftherios Kokoris-Kogias, Alberto Sonnino, Alexander Spiegelman:
Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus. - Dominik Seuß:
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability. - Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Estimating Redundancy in Clinical Text. - Sha Xie, Lingxiang Li, Zhi Chen, Shaoqian Li:
Improving THz Coverage for 6G URLLC Services via Exploiting Mobile Computing. - Cyrus Vahidi, Charalampos Saitis, György Fazekas:
A Modulation Front-End for Music Audio Tagging. - Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause:
DiBS: Differentiable Bayesian Structure Learning. - Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. - Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh:
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. - Abdurrahman Alshareef, Hessam S. Sarjoughian:
Simulation, Model Checking, and Execution of Activity Models. - Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph. - Michal Kosmider:
Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices. - Kaaviya Velumani, Raul Lopez-Lozano, Simon Madec, Wei Guo, Joss Gillet, Alexis Comar, Frédéric Baret:
Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution. - Timo Bertram, Johannes Fürnkranz, Martin Müller:
Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking. - Matteo Drago, Tommy Azzino, Mattia Lecci, Andrea Zanella, Michele Zorzi:
A Simulation Framework for Contention-Free Scheduling on WiGig. - Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang:
GraphFM: Graph Factorization Machines for Feature Interaction Modeling. - Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. - Marcin Namysl, Sven Behnke, Joachim Köhler:
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling. - Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. - Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua:
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Qin Huang, Bin Zhang:
Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes. - Marcin Namysl, Alexander M. Esser, Sven Behnke, Joachim Köhler:
Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System. - Clarisse Pétua Bosman Barros, Hans Butler, Roland Tóth:
On the Use of the Smith-McMillan Form in Decoupling System Dynamics. - Saman Ahmadi, Guido Tack, Daniel Harabor, Philip Kilby:
Bi-objective Search with Bi-directional A. - Hongbin Zhuang, Wenzhong Guo, Xiaoyan Li, Ximeng Liu, Cheng-Kuan Lin:
The Component Diagnosability of General Networks. - Aleksander Boruch-Gruszecki, Jonathan Immanuel Brachthäuser, Edward Lee, Ondrej Lhoták, Martin Odersky:
Tracking Captured Variables in Types. - Xiaobing Feng, Yan Luo, Liet Vo, Zhu Wang:
An efficient iterative method for solving parameter-dependent and random diffusion problems. - Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu:
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge. - Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang:
Towards an Online Empathetic Chatbot with Emotion Causes. - Qing Lin, Yongbin Liu, Wen Wen, Zhihua Tao:
Ensemble Making Few-Shot Learning Stronger. - Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. - M. Lautaro Hickmann, Fabian Wurzberger, Megi Hoxhalli, Arne Lochner, Jessica Töllich, Ansgar Scherp:
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization. - Panagiotis Kourtesis, Sarah E. MacPherson:
Immersive virtual reality methods in cognitive neuroscience and neuropsychology: Meeting the criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology. - Timo Spinde, Lada Rudnitckaia, Kanishka Sinha, Felix Hamborg, Bela Gipp, Karsten Donnay:
MBIC - A Media Bias Annotation Dataset Including Annotator Characteristics. - Swantje Plambeck, Jakob Schyga, Johannes Hinckeldeyn, Jochen Kreutzfeldt, Görschwin Fey:
Automata Learning for Automated Test Generation of Real Time Localization Systems. - Huanbo Sun, Georg Martius:
Theory of Geometric Super-resolution for Haptic Sensor Design. - Ivo F. D. Oliveira, Ricardo Hiroshi Caldeira Takahashi:
Minmax-optimal list searching with O(log2log2n) average cost. - Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. - Stanislaw Szufa, Piotr Faliszewski:
The Complexity of Subelection Isomorphism Problems. - Sami Barchid, José Mennesson, Chaabane Djeraba:
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks. - Henderik A. Proper:
ConQuer-92 - The revised report on the conceptual query language LISA-D. - Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising with Log-Based Robust PCA. - Katharina Kohls, Claudia Díaz:
VerLoc: Verifiable Localization in Decentralized Systems. - Guy Amir, Michael Schapira, Guy Katz:
Towards Scalable Verification of RL-Driven Systems. - Vitaly Aksenov, Ohad Ben-Baruch, Danny Hendler, Ilya Kokorin, Matan Rusanovsky:
Execution of NVRAM Programs with Persistent Stack. - Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan:
Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Jingwen Fu, Xiaoyi Zhang, Yuwang Wang, Wenjun Zeng, Sam Yang, Grayson Hilliard:
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences. - Theodore R. Sumers, Robert X. D. Hawkins, Mark K. Ho, Thomas L. Griffiths:
Extending rational models of communication from beliefs to actions. - Luis A. Corujo, Peter A. Gloor, Emily Kieson:
Emotion Recognition in Horses with Convolutional Neural Networks. - Mark C. Ballandies, Marcus M. Dapp, Benjamin A. Degenhart, Dirk Helbing:
Finance 4.0: Design principles for a value-sensitive cryptoecnomic system to address sustainability. - Vinayak Killedar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Learning Generative Prior with Latent Space Sparsity Constraints. - Kostas Sozos, Charis Mesaritakis, Adonis Bogris:
Reservoir Computing based on Mutually Injected Phase Modulated Semiconductor Lasers as a monolithic integrated hardware accelerator. - Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani:
Towards Teachable Autonomous Agents. - Christian Lenz, Jan Quenzel, Arul Selvam Periyasamy, Jan Razlaw, Andre Rochow, Malte Splietker, Michael Schreiber, Max Schwarz, Finn Süberkrüb, Sven Behnke:
Team NimbRo's UGV Solution for Autonomous Wall Building and Fire Fighting at MBZIRC 2020. - Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu:
Quantifying Uncertainty in Deep Spatiotemporal Forecasting. - Majid Rafiei, Wil M. P. van der Aalst:
Group-Based Privacy Preservation Techniques for Process Mining. - Rushabh Patel, Yanhui Guo:
Graph Based Link Prediction between Human Phenotypes and Genes. - Danny Panknin, Shinichi Nakajima, Klaus-Robert Müller:
Optimal Sampling Density for Nonparametric Regression. - Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Continuous Event Data Publishing. - Danish Kashaev, Richard Santiago:
An Optimal Monotone Contention Resolution Scheme for Uniform and Partition Matroids. - Sven Beuchler, Sebastian Kinnewig, Thomas Wick:
Parallel domain decomposition solvers for the time harmonic Maxwell equations. - Pavel Hrubes, Navid Talebanfard:
On the extension complexity of polytopes separating subsets of the Boolean cube. - Randall Christensen, Greg N. Droge, Robert C. Leishman:
A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in an Uncertain Obstacle Field. - Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Throughput-Fairness Tradeoffs in Mobility Platforms. - Austin Costley, Randall Christensen, Robert C. Leishman, Greg N. Droge:
Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory. - Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen:
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. - Nicolas Maack, Hendrik Molter, Rolf Niedermeier, Malte Renken:
On Finding Separators in Temporal Split and Permutation Graphs. - Parisa Abdolrahim Poorheravi, Vincent C. Gaudet:
Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data Sets. - Kelly Gothard, David Rushing Dewhurst, Joshua R. Minot, Jane Lydia Adams, Christopher M. Danforth, Peter Sheridan Dodds:
The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community. - Antonio Casares:
On the Minimisation of Transition-Based Rabin Automata and the Chromatic Memory Requirements of Muller Conditions. - Septimia Sarbu, Abdellatif Zaidi:
On learning parametric distributions from quantized samples. - Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger, Katharina Morik:
Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0. - Fabio Fusaro, Edoardo Lamon, Elena De Momi, Arash Ajoudani:
An Integrated Dynamic Method for Allocating Roles and Planning Tasks for Mixed Human-Robot Teams. - Shogo Kawanaka, Juliana Miehle, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto, Wolfgang Minker:
Task allocation interface design and personalization in gamified participatory sensing for tourism. - Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphaël Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin:
Hyperparameter Selection for Imitation Learning. - Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Information algebras of coherent sets of gambles in general possibility spaces. - Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev:
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. - Luca Mariot, Stjepan Picek, Domagoj Jakobovic, Alberto Leporati:
Evolutionary Algorithms for Designing Reversible Cellular Automata. - Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang:
BASS: Boosting Abstractive Summarization with Unified Semantic Graph. - Lining Wang, Haosen Yang, Wenhao Wu, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Transformers. - M. A. Barchiesi, Andrea Fronzetti Colladon:
Big data and big values: When companies need to rethink themselves. - Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz:
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs. - Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. - Mehmet Kerim Yucel, Valia Dimaridou, Anastasios Drosou, Albert Saà-Garriga:
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile. - Cassandra Burgess, Cordelia Neisinger, Rafael Dinner:
Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network. - Tedo Vrbanec, Ana Mestrovic:
Taxonomy of academic plagiarism methods. - Abida Sultana Sumona, Milton Kumar Kundu, A. S. M. Badrudduza:
Security Analysis in Multicasting over Shadowed Rician and α-μ Fading Channels: A Dual-hop Hybrid Satellite Terrestrial Relaying Network. - Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. - Elizabeth Dietrich:
A beginner guide to Iris, Coq and separation logic. - Nicholas Fraser, Anne Hobert, Najko Jahn, Philipp Mayr, Isabella Peters:
No Deal: Investigating the Influence of Restricted Access to Elsevier Journals on German Researchers' Publishing and Citing Behaviours. - Fabian Kröpfl, Roland Maier, Daniel Peterseim:
Operator Compression with Deep Neural Networks. - Eric Sihite, Pravin Dangol, Alireza Ramezani:
Unilateral Ground Contact Force Regulations in Thruster-Assisted Legged Locomotion. - Leszek Gasieniec, Jesper Jansson, Christos Levcopoulos, Andrzej Lingas:
Efficient Assignment of Identities in Anonymous Populations. - Wenhao Wu, Yuxiang Zhao, Yanwu Xu, Xiao Tan, Dongliang He, Zhikang Zou, Jin Ye, Yingying Li, Mingde Yao, Zichao Dong, Yifeng Shi:
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning. - (Withdrawn) An Ω(log n) Lower Bound for Online Matching on the Line.
- Piyush Kumar Sharma, Gary Holness, Poopalasingam Sivakumar, Yuri Markushin, Noureddine Melikechi:
Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra. - Anselmo Ramalho Pitombeira Neto, Helano P. Santos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo:
Trajectory Modeling via Random Utility Inverse Reinforcement Learning. - Svein Høgemo, Benjamin Bergougnoux, Ulrik Brandes, Christophe Paul, Jan Arne Telle:
On Dasgupta's hierarchical clustering objective and its relation to other graph parameters. - Nelly Elsayed, Zaghloul Saad Zaghloul, Sylvia Worlali Azumah, Chengcheng Li:
Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model. - Waqas Ahmed, Amir Rasool, Jamel Nebhen, Neeraj Kumar, Faisal Shahzad, Abdul Rehman Javed, Thippa Reddy Gadekallu, Zunera Jalil:
Security in Next Generation Mobile Payment Systems: A Comprehensive Survey. - Lukas Mosser, Ehsan Zabihi Naeini:
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications. - Simon B. Hengeveld, N. Rubiano da Silva, Douglas Soares Gonçalves, Paulo H. Souto Ribeiro, Antonio Mucherino:
Solving the One-dimensional Distance Geometry Problem by Optical Computing. - Upasana Dutta, Aaron Clauset:
Convergence criteria for sampling random graphs with specified degree sequences. - Xieyuanli Chen, Ignacio Vizzo, Thomas Läbe, Jens Behley, Cyrill Stachniss:
Range Image-based LiDAR Localization for Autonomous Vehicles. - Shaofu Xu, Jing Wang, Haowen Shu, Zhike Zhang, Sicheng Yi, Bowen Bai, Xingjun Wang, Jianguo Liu, Weiwen Zou:
Optical coherent dot-product chip for sophisticated deep learning regression. - Davide Pierangeli, Giulia Marcucci, Claudio Conti:
Photonic extreme learning machine by free-space optical propagation. - James D. Mitchell, Maria Tsalakou:
An explicit algorithm for normal forms in small overlap monoids. - Pierre Bergé, Michel Habib:
Diameter, radius and all eccentricities in linear time for constant-dimension median graphs. - Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. - Christian Horvat, Jean-Pascal Pfister:
Density estimation: an inflation-deflation approach. - Srishti Yadav:
Occlusion Aware Kernel Correlation Filter Tracker using RGB-D. - Patrick Knupp, Tzanio V. Kolev, Ketan Mittal, Vladimir Z. Tomov:
Adaptive Surface Fitting and Tangential Relaxation for High-Order Mesh Optimization. - Dongjun Lee, Junhyeong Ahn, Heesoo Park, Jaemin Jo:
IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion. - Wei-Kang Tseng, Angela P. Schoellig, Timothy D. Barfoot:
Self-Calibration of the Offset Between GPS and Semantic Map Frames for Robust Localization. - Zhongzhen Luo, Fengjia Zhang, Guoyi Fu, Jiajie Xu:
Self-Guided Instance-Aware Network for Depth Completion and Enhancement. - Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. - Mohammad S. Parsa, Lukasz Golab, Srinivasan Keshav:
Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study. - Lee Burke, Karl Pazdernik, Daniel Fortin, Benjamin Wilson, Rustam Goychayev, John K. Mattingly:
NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains. - Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies:
Bias in Machine Learning Software: Why? How? What to do? - Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
From Motor Control to Team Play in Simulated Humanoid Football. - Andrew Dunn, Diana Inkpen, Razvan Andonie:
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models. - Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe:
Safe Value Functions. - Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
A New Score for Adaptive Tests in Bayesian and Credal Networks. - Yu Qin, Brittany Terese Fasy, Carola Wenk, Brian Summa:
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces. - George Philipp:
The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design. - Danny A. J. Gomez-Ramirez, Yoe A. Herrera-Jaramillo, Johana C. Ortega-Giraldo, Alex M. Ardila-Garcia:
Some Pragmatic Prevention's Guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia. - Howard C. Elman, Jiaxing Liang, Tonatiuh Sánchez-Vizuet:
Surrogate Approximation of the Grad-Shafranov Free Boundary Problem via Stochastic Collocation on Sparse Grids. - Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea:
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. - Shuwen Deng, Bowen Huang, Jakub Szefer:
Leaky Frontends: Micro-Op Cache and Processor Frontend Vulnerabilities. - Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. - Marco Minghini, Vlado Cetl, Alexander Kotsev, Robert Tomas, Michael Lutz:
INSPIRE: The Entry Point to Europe's Big Geospatial Data Infrastructure. - Siobhan Powell, Gustavo Vianna Cezar, Elpiniki Apostolaki-Iosifidou, Ram Rajagopal:
Large-Scale Scenarios of Electric Vehicle Charging with a Data-Driven Model of Control. - Markus Hilpert, Jenni A. Shearston, Jemaleddin Cole, Steven N. Chillrud, Micaela E. Martinez:
Acquisition and analysis of crowd-sourced traffic data. - Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold:
Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. - Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi:
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. - Benjamin T. Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vova Kim, Adriana Schulz:
SB-GCN: Structured BREP Graph Convolutional Network for Automatic Mating of CAD Assemblies. - David Umsonst, Justin Ruths, Henrik Sandberg:
Finite sample guarantees for quantile estimation: An application to detector threshold tuning. - Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. - Alain-Sam Cohen, Rama Cont, Alain Rossier, Renyuan Xu:
Scaling Properties of Deep Residual Networks. - Charles L. Epstein, Manas Rachh:
Debye source representation for type-I superconductors, I. - Sayan Nag:
Graph Self Supervised Learning: the BT, the HSIC, and the VICReg. - Po-Kan Shih:
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence. - Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari:
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. - Mathew Schwartz, Tomer Weiss, Esra Ataer Cansizoglu, Jae-Woo Choi:
Style Similarity as Feedback for Product Design. - Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martínez, Yulia Otmakhova:
Impact of detecting clinical trial elements in exploration of COVID-19 literature. - Gregory Schwartzman, Yuichi Sudo:
Smoothed Analysis of Population Protocols. - Nandita Swanan Mandira, Milton Kumar Kundu, Sheikh Habibul Islam, A. S. M. Badrudduza, Imran Shafique Ansari:
On Secrecy Performance of Mixed α-η-μ and Malaga RF-FSO Variable Gain Relaying Channel. - Alexander S. La Cour, Khurram K. Afridi, G. Edward Suh:
Wireless Charging Power Side-Channel Attacks. - Ofir Nachum, Mengjiao Yang:
Provable Representation Learning for Imitation with Contrastive Fourier Features. - Karishma Patnaik, Shatadal Mishra, Zachary Chase, Wenlong Zhang:
Collision Recovery Control of a Foldable Quadrotor. - Michael Taylor, Sergey Bashkirov, Javier Fernandez Rico, Ike Toriyama, Naoyuki Miyada, Hideki Yanagisawa, Kensaku Ishizuka:
Learning Bipedal Robot Locomotion from Human Movement. - Ali Dorri, Shailesh Mishra, Raja Jurdak:
Vericom: A Verification and Communication Architecture for IoT-based Blockchain. - Rafael Baldasso Audibert, Vinicius Marinho Maschio:
FINNger - Applying artificial intelligence to ease math learning for children. - Sophie Libkind, Andrew Baas, Evan Patterson, James P. Fairbanks:
Operadic Modeling of Dynamical Systems: Mathematics and Computation. 192-206 - Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
Database Workload Characterization with Query Plan Encoders. - Willis Hoke, Daniel Shea, Stephen Casey:
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs. - Hailong Cao, Tiejun Zhao:
Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction. - Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao:
kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos. - Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang:
SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis. - Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang, Xian-Ling Mao:
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking. - Vaishnav Tadiparthi, Raktim Bhattacharya:
Optimal Transport Based Refinement of Physics-Informed Neural Networks. - Sharan Balasubramanian, Ayush Rajput, Rodra W. Hascaryo, Chirag Rastogi, William R. Norris:
Comparison of Dynamic and Kinematic Model Driven Extended Kalman Filters (EKF) for the Localization of Autonomous Underwater Vehicles. - Joel Tomás Morais, António Ramires Fernandes, André Leite Ferreira, Bruno Faria:
Performance Analysis of a Foreground Segmentation Neural Network Model. - Saeed Hadadan, Shuhong Chen, Matthias Zwicker:
Neural Radiosity. - Sebastian Junges, Hazem Torfah, Sanjit A. Seshia:
Runtime Monitoring for Markov Decision Processes. - Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. - Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck:
Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. - Huale Li, Xuan Wang, Zengyue Guo, Jiajia Zhang, Shuhan Qi:
NNCFR: Minimize Counterfactual Regret with Neural Networks. - Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska:
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. - Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska:
What data do we need for training an AV motion planner? - Jinyu Tian, Jiantao Zhou, Jia Duan:
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services. - Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong:
Composition and Application of Current Advanced Driving Assistance System: A Review. - Ryoma Sato:
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? - Shijie Yu, Feng Zhu, Dapeng Chen, Rui Zhao, Haobin Chen, Shixiang Tang, Jinguo Zhu, Yu Qiao:
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification. - Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar:
Submodular Kernels for Efficient Rankings. - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Using the Overlapping Score to Improve Corruption Benchmarks. - Vladimir Tchuiev, Vadim Indelman:
Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning. - Hailiang Xie, Jie Xu, Ya-Feng Liu, Liang Liu, Derrick Wing Kwan Ng:
User Grouping and Reflective Beamforming for IRS-Aided URLLC. - Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
How to Calibrate Your Event Camera. - Lun Wang, Dawn Song:
Differentially Private Frequency Moments Estimation with Polylogarithmic Space. - Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel:
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. - Dhirendra Singh, Ken Strahan, Jim McLennan, Joel Robertson, Bhagya N. Wickramasinghe:
What will they do? Modelling self-evacuation archetypes. - Thijs Waardenburg, Niels van Huizen, Jelle van Dijk, Maurice Magnée, Wouter Staal, Jan-Pieter Teunisse, Mascha van der Voort:
Design Your Life: User-Initiated Design of Technology to Support Independent Living of Young Autistic Adults. - Yijiang Lian, Shuang Li, Chaobing Feng, Yanfeng Zhu:
Quotient Space-Based Keyword Retrieval in Sponsored Search. - Davide Falessi, Aalok Ahluwalia, Massimiliano Di Penta:
The Impact of Dormant Defects on Defect Prediction: a Study of 19 Apache Projects. - Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. - Jacopo Soldani, Antonio Brogi:
Anomaly Detection and Failure Root Cause Analysis in (Micro)Service-Based Cloud Applications: A Survey. - Michele Annese:
Time integration schemes for fluid-structure interaction problems: non fitted FEMs for immersed thin structures. - Allan Grønlund, Jonas Tranberg:
Learning to Detect Fortified Areas. - Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. - Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks. - Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, Houqiang Li:
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation. - Manabu Machida:
Three-dimensional analytical discrete-ordinates method for structured illumination. - Akhilesh Ravi, Amit Kumar Singh Yadav, Jainish Chauhan, Jatin Dholakia, Naman Jain, Mayank Singh:
SentEmojiBot: Empathising Conversations Generation with Emojis. - Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, Maosong Sun:
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. - Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu:
Unsupervised Part Segmentation through Disentangling Appearance and Shape. - Benjamin Bergougnoux, Svein Høgemo, Jan Arne Telle, Martin Vatshelle:
On Alternative Models for Leaf Powers. - Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Joint Optimization of Tokenization and Downstream Model. - Basura Fernando, Samitha Herath:
Anticipating human actions by correlating past with the future with Jaccard similarity measures. - Peter-J. Noble, Tobias Weinzierl:
A multiresolution Discrete Element Method for triangulated objects with implicit timestepping. - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. - Alex Serban, Joost Visser:
An Empirical Study of Software Architecture for Machine Learning. - Alex Serban, Erik Poll, Joost Visser:
Deep Repulsive Prototypes for Adversarial Robustness. - Mika Hämäläinen, Niko Partanen, Jack Rueter, Khalid Al-Najjar:
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered. - Uranchimeg Tudevdagva, Bazarragchaa Sodnom, Selenge Erdenechimeg:
The Evaluation Case Study of Online Course During Pandemic Period in Mongolia. - Ioannis Kordonis, Athanasios-Rafail Lagos, George P. Papavassilopoulos:
Dynamic Games of Social Distancing during an Epidemic: Analysis of Asymmetric Solutions. - Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos:
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. - Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kämpf, Dario Zanca, Bjoern M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. - Chi Zhang, Christian Berger, Marco Dozza:
Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios. - Johnny Tian-Zheng Wei, Robin Jia:
The statistical advantage of automatic NLG metrics at the system level. - Christiaan Verwijs, Daniel Russo:
A Theory of Scrum Team Effectiveness. - Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge:
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. - Daniel Loureiro, Alípio Mário Jorge, José Camacho-Collados:
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond. - Nathan van Beusekom, Irene Parada, Bettina Speckmann:
Crossing Numbers of Beyond-Planar Graphs Revisited. - Ahmed Sabbir Arif, Wolfgang Stuerzlinger, Euclides Jose de Mendonça Filho, Alec Gordynski:
How Do Users Interact with an Error-Prone In-Air Gesture Recognizer? - Shilpi Mishra, J. Harshan, Ranjitha Prasad:
Path-Aware OMP Algorithms for Provenance Recovery in Vehicular Networks. - Benjamin Hilprecht, Carsten Binnig:
ReStore - Neural Data Completion for Relational Databases. - Ranjana Roy, Shivam Gupta, Sravanthi Chede:
World War III Analysis using Signed Social Networks. - Johannes Kunke, Stephan Wiefling, Markus Ullmann, Luigi Lo Iacono:
Evaluation of Account Recovery Strategies with FIDO2-based Passwordless Authentication. - Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam:
Pattern Detection in the Activation Space for Identifying Synthesized Content. - Xue Jiang, Zhuoran Zheng, Chen Lyu, Liang Li, Lei Lyu:
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language. - Petra Poklukar, Anastasiia Varava, Danica Kragic:
GeomCA: Geometric Evaluation of Data Representations. - Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li:
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI. - David Zar, Noam Hazon, Amos Azaria:
Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction. - Franz Anders, Ammie K. Kalan, Hjalmar S. Kühl, Mirco Fuchs:
Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks. - Ritu Gala, Eshita Shukla, Nidhee Kamble, Revathi Vijayaraghavan, Dhiren Patel:
Blockchain-Based Approach to Foster Student Engagement on Campus. - Anna-Valentini Michailidou, Anastasios Gounaris, Konstantinos Tsichlas:
Cost models for geo-distributed massively parallel streaming analytics. - Francesco Croce, Matthias Hein:
Adversarial robustness against multiple lp-threat models at the price of one and how to quickly fine-tune robust models to another threat model. - Denis Anuprienko:
Comparison of nonlinear solvers within continuation method for steady-state variably saturated groundwater flow modeling. - Johannes Hartmann:
Finding optimal strategies in sequential games with the novel selection monad. - Yun Li, Hongwei Liu:
Cyclic subspace codes via the sum of Sidon spaces. - Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. - Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Out-of-Vocabulary Entities in Link Prediction. - Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt:
Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem. - Jorge Martín-Pérez, Koteswararao Kondepu, Danny De Vleeschauwer, Venkatarami Reddy Chintapalli, Carlos Guimarães, Andrea Sgambelluri, Luca Valcarenghi, Chrysa Papagianni, Carlos J. Bernardos:
Dimensioning of V2X Services in 5G Networks through Forecast-based Scaling. - Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, Giorgos Flouris, Ion Androutsopoulos, Dimitris Plexousakis:
Deception detection in text and its relation to the cultural dimension of individualism/collectivism. - Hussain Kanafani, Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth:
Unsupervised Video Summarization via Multi-source Features. - Valentina Andries, Sabina Savadova:
Understanding the Role of Digital Technology in the Transitions of Refugee Families with Young Children into A New Culture: A Case Study of Scotland. - Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation. - Tamás L. Horváth, Sander Rhebergen:
A conforming sliding mesh technique for an embedded-hybridized discontinuous Galerkin discretization for fluid-rigid body interaction. - Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu:
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. - Chang Tian, An Liu, Guang Huang, Wu Luo:
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning. - Artem Savkin, Federico Tombari:
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes. - Carlos Ansótegui, Felip Manyà, Jesus Ojeda, Josep M. Salvia, Eduard Torres:
Incomplete MaxSAT Approaches for Combinatorial Testing. - Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu:
Context-aware Cross-level Fusion Network for Camouflaged Object Detection. - Rushabh Patel:
Predicting invasive ductal carcinoma using a Reinforcement Sample Learning Strategy using Deep Learning. - Xing Li, Xue Leng, Yan Chen:
Securing Serverless Computing: Challenges, Solutions, and Opportunities. - A. N. Trahtman:
A package TESTAS for checking some kinds of testability. - Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection with Deep Learning. - Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen, Maosong Sun:
Automatic Construction of Sememe Knowledge Bases via Dictionaries. - Stefan Pranger, Bettina Könighofer, Lukas Posch, Roderick Bloem:
TEMPEST - Synthesis Tool for Reactive Systems and Shields in Probabilistic Environments. - Matías Brizzio, Renzo Degiovanni, Maxime Cordy, Mike Papadakis, Nazareno Aguirre:
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. - Michael Scholkemper, Michael T. Schaub:
Local, global and scale-dependent node roles. - Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu, Virgilio Centeno:
Inferring power system dynamics from synchrophasor data using Gaussian processes. - Thomas Bellotti, Loïc Gouarin, Benjamin Graille, Marc Massot:
Does the multiresolution lattice Boltzmann method allow to deal with waves passing through mesh jumps? - Guojun Chen, Noah Weiner, Lin Zhong:
POD: A Smartphone That Flies. - Maximilian Zinkus, Tushar M. Jois, Matthew Green:
Data Security on Mobile Devices: Current State of the Art, Open Problems, and Proposed Solutions. - Laurent Belcour, Eric Heitz:
Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution. - Yuanyuan Dong, Andrew V. Goldberg, Alexander Noe, Nikos Parotsidis, Mauricio G. C. Resende, Quico Spaen:
New instances for maximum weight independent set from a vehicle routing application. - Yujia Bao, Shiyu Chang, Regina Barzilay:
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. - Joshua Abraham, Calden Wloka:
Edge Detection for Satellite Images without Deep Networks. - Andrea Fronzetti Colladon, Francesca Grippa, Elisa Battistoni, Peter A. Gloor, Agostino La Bella:
What makes you popular: beauty, personality or intelligence? - Namuk Park, Songkuk Kim:
Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. - Han Yu, Xinping Yi, Giuseppe Caire:
Topological Pilot Assignment in Large-Scale Distributed MIMO Networks. - Henderik A. Proper, Terry A. Halpin:
Conceptual Schema Optimisation - Database Optimisation before sliding down the Waterfall. - Daniel Diethei, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik, Johannes Schöning:
The Usability and Trustworthiness of Medical Eye Images. - Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor D. D. Curcio:
Recent Standard Development Activities on Video Coding for Machines. - Alistair P. Barros, Arthur H. M. ter Hofstede, Henderik A. Proper, Peter N. Creasy:
Business Suitability Principles for Workflow Modelling. - Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler:
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Grazia Antonacci, Andrea Fronzetti Colladon, Alessandro Stefanini, Peter A. Gloor:
It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice. - Yuxuan Han, Jiaolong Yang, Ying Fu:
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. - Soo-Min Kang, Richard P. Wildes:
Detecting Biological Locomotion in Video: A Computational Approach. - Maciej Besta, Marcel Schneider, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler:
Towards Million-Server Network Simulations on Just a Laptop. - (Withdrawn) Prosodic segmentation for parsing spoken dialogue.
- Francesca Grippa, John Bucuvalas, Andrea Booth, Evaline Alessandrini, Andrea Fronzetti Colladon, Lisa M. Wade:
Measuring information exchange and brokerage capacity of healthcare teams. - Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. - Shih-Yi Yuan, Bo-Yu Zhu:
A Flexible FPGA-Based ISA Configurable SoC platform. - Luyang Kong, Christopher Winestock, Parminder Bhatia:
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. - Hai Zhu, Shravan K. Veerapaneni:
High-order close evaluation of Laplace layer potentials: A differential geometric approach. - Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Kumar Chandran, Xuan Jing:
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification. - Padmapani Seneviratne, Martianus Frederic Ezerman:
Improved Quantum Codes from Metacirculant Graphs via Self-Dual Additive F4-Codes. - Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastiaan S. Veeling, Alexandre Schmid, Ruud J. G. van Sloun:
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities. - Rui Pimentel de Figueiredo, Jakob Grimm Hansen, Jonas Le Fevre, Martim Brandão, Erdal Kayacan:
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation. - Feifei Shao, Long Chen, Jian Shao, Wei Ji, Shaoning Xiao, Lu Ye, Yueting Zhuang, Jun Xiao:
Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey. - Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Intriguing Parameters of Structural Causal Models. - Rodrigo Randel, Daniel Aloise, Alain Hertz:
Exploring dual information in distance metric learning for clustering. - Seth Gilbert, Calvin Newport, Nitin H. Vaidya, Alex Weaver:
Contention Resolution with Predictions. - Julia Pritzen, Michael Gref, Christoph Schmidt, Dietlind Zühlke:
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. - Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés:
Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement. - Kinjal Dasgupta, Arindam Das, Sudip Das, Ujjwal Bhattacharya, Senthil Kumar Yogamani:
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving. - Biswa P. S. Sahoo, Deepak Puthal, Saraju P. Mohanty, Prashant Pillai:
Personal Internet of Things (PIoT): What is it Exactly? - Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie:
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning. - Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. - Boyuan Chen, Yuhang Hu, Lianfeng Li, Sara Cummings, Hod Lipson:
Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models. - Oscar Fontanelli, Aldo Venegas, Ricardo Mansilla:
Analyzing time series activity of Twitter political spambots. - Holger Schulz, Gonzalo Brito Gadeschi, Oleksandr Rudyy, Tobias Weinzierl:
Task inefficiency patterns for a wave equation solver. - Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum:
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. - Jonathan K. Kummerfeld:
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing. - Ashok Dahal, Varun Ravi Kumar, Senthil Kumar Yogamani, Ciaran Eising:
An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras. - Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung:
Networked Federated Multi-Task Learning. - Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. - Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Viswanathan:
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. - Supreeth Mysore Shivanandamurthy, Ishan G. Thakkar, Sayed Ahmad Salehi:
ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing. - Eran Dahan, Tzvi Diskin, Amit Amram, Amit Moryossef, Omer Koren:
cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery. - Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt:
Self-Supervised Bug Detection and Repair. - Alfredo Silva, Marcelo Mendoza:
A data-driven strategy to combine word embeddings in information retrieval. - Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection. - Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. - Mustafa Akin Yilmaz, Ahmet Murat Tekalp:
DFPN: Deformable Frame Prediction Network. - Shushuai Li, Christophe De Wagter, Guido C. H. E. de Croon:
Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural Networks. - Amir Tasbihi, Frank R. Kschischang:
Direct Detection Under Tukey Signalling. - Hugh Perkins:
TexRel: a Green Family of Datasets for Emergent Communications on Relations. - Sébastien Bubeck, Mark Sellke:
A Universal Law of Robustness via Isoperimetry. - Hasib Zunair, Aimon Rahman, Nabeel Mohammed:
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans. - Anna Grim, Pedro F. Felzenszwalb:
Convex Combination Belief Propagation Algorithms. - Jacinto Carrasco, Irina Markova, David López, Ignacio Aguilera, Diego García, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera:
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms. - Anthony Savidis, Vangelis Tsiatsianas:
Implementation of Live Reverse Debugging in LLDB. - Omar Maraqa, Umair F. Siddiqi, Saad Al-Ahmadi, Sadiq M. Sait:
On the Achievable Max-Min User Rates in Multi-Carrier Centralized NOMA-VLC Networks. - Spencer Ploeger, Lucas Dasovic:
Issues in Object Detection in Videos using Common Single-Image CNNs. - Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch, Jonathan D. Ashdown, Mehdi Bennis:
UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning. - Tatsuaki Wada, Antonio Maria Scarfone, Hiroshi Matsuzoe:
Huygens' equations and the gradient-flow equations in information geometry. - Zhihan Zhou, Liqian Ma, Han Liu:
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading. - Babak Mafakheri, Pierpaolo Gonnella, Alessandro Bazzi, Barbara Mavi Masini, Michele Caggiano, Roberto Verdone:
Optimizations for Hardware-in-the-Loop-Based V2X Validation Platforms. - Evgeny Bobrov, Dmitry Kropotov, Hao Lu, Danila Zaev:
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning. - Qi Zheng:
Pouring Dynamics Estimation Using Gated Recurrent Units. - Leonardo Ricci, Alessio Perinelli, Michele Castelluzzo:
Estimating the variance of Shannon entropy. - Ashutosh Pandey, DeLiang Wang:
Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization. - (Withdrawn) Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling.
- Mohammed Hirzallah, Marwan Krunz:
Sense-Bandits: AI-based Adaptation of Sensing Thresholds for Heterogeneous-technology Coexistence Over Unlicensed Bands. - Subhash Bhagavan Kommina, Kiran Kumar Pulamoluy, Kumar Umesh Pentakota, S. Sravya:
A Review on Applications and Challenges in Internet of Things. - Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu:
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. - Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek:
Fooling Partial Dependence via Data Poisoning. - Mehmet Cagri Ilter, Risto Wichman, Mikko Säily, Jyri Hämäläinen:
Information Harvesting for Far-Field Wireless Power Transfer. - Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio, João Dinis Ferreira, Nika Mansouri-Ghiasi, Minesh Patel, Mohammed Alser, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu:
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM. - Michail Gkagkos, Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-François Chamberland, Costas N. Georghiades:
Approximate Support Recovery using Codes for Unsourced Multiple Access. - David Shriver, Sebastian G. Elbaum, Matthew B. Dwyer:
DNNV: A Framework for Deep Neural Network Verification. - Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Quoc V. Le, Anna Goldie, Azalia Mirhoseini:
A Full-stack Accelerator Search Technique for Vision Applications. - Matthew Stephenson, Dennis J. N. J. Soemers, Éric Piette, Cameron Browne:
General Game Heuristic Prediction Based on Ludeme Descriptions. - Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song:
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. - Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins:
CARLS: Cross-platform Asynchronous Representation Learning System. - Scott McCrae, Kehan Wang, Avideh Zakhor:
Multi-Modal Semantic Inconsistency Detection in Social Media News Posts. - Orestis Papakyriakopoulos, Arwa Michelle Mboya:
Beyond Algorithmic Bias: A Socio-Computational Interrogation of the Google Search by Image Algorithm. - Qiaoyi Liu, Dillon Huff, Jeff Setter, Maxwell Strange, Kathleen Feng, Kavya Sreedhar, Ziheng Wang, Keyi Zhang, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad:
Compiling Halide Programs to Push-Memory Accelerators. - Adam S. Williams, Francisco R. Ortega:
A Concise Guide to Elicitation Methodology. - Carlos A. Astudillo, Ekram Hossain, Nelson L. S. da Fonseca:
Random Access Based on Maximum Average Distance Code for Massive MTC in Cellular IoT Networks. - João P. Cardenuto, Anderson Rocha:
Benchmarking Scientific Image Forgery Detectors. - Pratik K. Biswas, Songlin Liu:
A Hybrid Recommender System for Recommending Smartphones to Prospective Customers. - Eli Dart, William E. Allcock, Wahid Bhimji, Tim Boerner, Ravinderjeet Cheema, Andrew Cherry, Brent Draney, Salman Habib, Damian Hazen, Jason Hill, Matt Kollross, Suzanne Parete-Koon, Daniel Pelfrey, Adrian Pope, Jeff Porter, David Wheeler:
The Petascale DTN Project: High Performance Data Transfer for HPC Facilities. - Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. - Peng Yin, Lingyun Xu, Ji Zhang, Sebastian A. Scherer:
i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions. - Peng Yin, Lingyun Xu, Jianmin Ji:
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors. - Nazib Sorathiya, Chuan-An Lin, Daniel Chen Daniel Xiong, Scott Zin, Yi Zhang, He Sarina Yang, Sharon Xiaolei Huang:
Multi-turn Dialog System on Single-turn Data in Medical Domain. - Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. - Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng:
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. - Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat:
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? - Mingchao Liang, Florian Meyer:
Neural Enhanced Belief Propagation for Cooperative Localization. - Weizhou Shen, Siyue Wu, Yunyi Yang, Xiaojun Quan:
Directed Acyclic Graph Network for Conversational Emotion Recognition. - Masood Feyzbakhsh Rankooh, Jussi Rintanen:
Propositional Encodings of Acyclicity and Reachability by using Vertex Elimination. - Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic:
Deconditional Downscaling with Gaussian Processes. - Georgios Bakirtzis, Eswaran Subrahmanian, Cody H. Fleming:
Compositional Thinking in Cyber-Physical Systems Theory. - Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Hubert J. Banville, Sean U. N. Wood, Chris Aimone, Denis-Alexander Engemann, Alexandre Gramfort:
Robust learning from corrupted EEG with dynamic spatial filtering. - Yang Li, Yi Zeng, Dongcheng Zhao:
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. - Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective. - Darko Stosic, Dusan Stosic:
Search Spaces for Neural Model Training. - Tianqi Wang, Dong Eui Chang:
Robust Navigation for Racing Drones based on Imitation Learning and Modularization. - Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang:
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Changye Yang, Sriram Baireddy, Enyu Cai, Valérian Méline, Denise Caldwell, Anjali S. Iyer-Pascuzzi, Edward J. Delp:
Image-Based Plant Wilting Estimation. - Raja S. Kushalnagar:
Legibility of Videos with ASL signers. - Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. - Delong Qi, Weijun Tan, Qi Yao, Jingfeng Liu:
YOLO5Face: Why Reinventing a Face Detector. - Xiaofei Ma, Cícero Nogueira dos Santos, Andrew O. Arnold:
Contrastive Fine-tuning Improves Robustness for Neural Rankers. - Yunfei Meng, Zhiqiu Huang, Guohua Shen, Changbo Ke:
SDN-based Runtime Security Enforcement Approach for Privacy Preservation of Dynamic Web Service Composition. - Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor:
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence. - Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou:
Towards a Better Understanding of Linear Models for Recommendation. - Christian Arzate Cruz, Takeo Igarashi:
Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors. - Guanyu Cai, Lianghua He:
Unsupervised Adaptive Semantic Segmentation with Local Lipschitz Constraint. - Christian Arzate Cruz, Takeo Igarashi:
MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning. - Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda:
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods. - Christian Arzate Cruz, Takeo Igarashi:
A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges. - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. - Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi:
Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN. - Sixiang Tan:
Feature Reuse and Fusion for Real-time Semantic segmentation. - Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou:
Selective Knowledge Distillation for Neural Machine Translation. - Dan Su, Tiezheng Yu, Pascale Fung:
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance. - Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang:
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation. - Tomohiro Nishiyama:
Tight Lower Bounds for α-Divergences Under Moment Constraints and Relations Between Different α. - Xuehai Huang:
Hm-Conforming Virtual Elements in Arbitrary Dimension. - Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring, Iryna Gurevych:
Investigating label suggestions for opinion mining in German Covid-19 social media. - Pieter Kleer:
Sampling from the Gibbs Distribution in Congestion Games. - Kirill Krinkin, Anton Filatov:
Correlation Filter of 2D Laser Scans For Indoor Environment. - Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Algebras of Sets and Coherent Sets of Gambles. - Alberto Baccini, Eugenio Petrovich:
Normative versus strategic accounts of acknowledgment data: the case of the top-five journals of economics. - Rik D. T. Janssen, Henderik A. Proper:
A functionality taxonomy for document search engines. - Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly:
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery. - Taisuke Kobayashi:
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization. - Thomas Dopierre, Christophe Gravier, Wilfried Logerais:
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning. - W. A. Gunarathna, H. M. Nasir, W. B. Daundasekera:
A unified explicit form for difference formulas for fractional and classical derivatives. - Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Label-noise Transition Matrix using DNNs. - Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? - Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. - Jian Huang, Yuling Jiao, Zhen Li, Shiao Liu, Yang Wang, Yunfei Yang:
An error analysis of generative adversarial networks for learning distributions. - Thomas Chambon, Eric Heitz, Laurent Belcour:
Passing Multi-Channel Material Textures to a 3-Channel Loss. - Kazunori Matsui:
A projection method for Navier-Stokes equations with a boundary condition including the total pressure. - Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, Wei-Chen Chiu:
Stylizing 3D Scene via Implicit Representation and HyperNetwork. - Junwen Yang, Vincent Y. F. Tan:
Towards Minimax Optimal Best Arm Identification in Linear Bandits. - Mohamad Hoseini, Philipe Melo, Fabrício Benevenuto, Anja Feldmann, Savvas Zannettou:
On the Globalization of the QAnon Conspiracy Theory Through Telegram. - Padmapani Seneviratne, Martianus Frederic Ezerman:
Two New Zero-Dimensional Qubit Codes from Bordered Metacirculant Construction. - Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen:
Adaptive Nearest Neighbor Machine Translation. - Fabiola Moyón Constante, Rafael Soares, Maria Pinto-Albuquerque, Daniel Méndez, Kristian Beckers:
Integration of Security Standards in DevOps Pipelines: An Industry Case Study. - Qi Wen, Peter A. Gloor, Andrea Fronzetti Colladon, Praful Tickoo, Tushar Joshi:
Finding top performers through email patterns analysis. - Xudong Guo, Xun Guo, Yan Lu:
SSAN: Separable Self-Attention Network for Video Representation Learning. - Peter A. Gloor, Andrea Fronzetti Colladon, João Marcos de Oliveira, Paola Rovelli:
Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage. - Sorin Mihai Grigorescu, Cosmin Ginerica, Mihai V. Zaha, Gigel Macesanu, Bogdan Trasnea:
LVD-NMPC: A Learning-based Vision Dynamics Approach to Nonlinear Model Predictive Control for Autonomous Vehicles. - Patrizio Angelini, Michael A. Bekos, Fabrizio Montecchiani, Maximilian Pfister:
On Morphing 1-Planar Drawings. - David G. Kirkpatrick, Irina Kostitsyna, Alfredo Navarra, Giuseppe Prencipe, Nicola Santoro:
Separating Bounded and Unbounded Asynchrony for Autonomous Robots: Point Convergence with Limited Visibility. - He Cai, Shuping Guo, Yuheng He, Jieyi Yan, Yingnan Zhen, Huanli Gao, Xiangyang Li:
Line Marching Algorithm For Planar Kinematic Swarm Robots: A Dynamic Leader-Follower Approach. - Nicolas Boullé, Alex Townsend:
A generalization of the randomized singular value decomposition. - Maciej Rymar, Hendrik Molter, André Nichterlein, Rolf Niedermeier:
Towards Classifying the Polynomial-Time Solvability of Temporal Betweenness Centrality. - Junxiao Shen, John J. Dudley, Per Ola Kristensson:
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition. - Maali Tars, Andre Tättar, Mark Fishel:
Extremely low-resource machine translation for closely related languages. - Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng:
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. - Oliver Markgraf, Daniel Stan, Anthony W. Lin:
Learning Union of Integer Hypercubes with Queries (Technical Report). - Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi:
TranSmart: A Practical Interactive Machine Translation System. - Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. - Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao:
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. - Wenjia Niu, Kaihao Zhang, Wenhan Luo, Yiran Zhong, Xin Yu, Hongdong Li:
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding. - Rui Yao, Shlomo Bekhor:
A Dynamic Tree Algorithm for Peer-to-Peer Ride-sharing Matching. - Chenpeng Du, Kai Yu:
Diverse and Controllable Speech Synthesis with GMM-Based Phone-Level Prosody Modelling. - Mary Phuong, Christoph H. Lampert:
Towards Understanding Knowledge Distillation. - Yitong Li, Yunjie Gu, Timothy C. Green:
Rethinking Grid-Forming and Grid-Following Inverters: The Duality Theory. - Jian Yang, Yuhui Shi:
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems. - Jieni Lin, Junren Qin, Shanxiang Lyu, Bingwen Feng, Jiabo Wang:
Lattice-Based Minimum-Distortion Data Hiding. - Jian Yang, Yuhui Shi:
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics. - Jian Yang, Yuhui Shi:
Adaptive Coordinated Motion Control for Swarm Robotics Based on Brain Storm Optimization. - Walt Woods:
RL-GRIT: Reinforcement Learning for Grammar Inference. - Alex Shamis, Peter R. Pietzuch, Miguel Castro, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Antoine Delignat-Lavaud, Cédric Fournet, Matthew Kerner, Julien Maffre, Manuel Costa, Mark Russinovich:
PAC: Practical Accountability for CCF. - Shenggui Li, Fuzhao Xue, Yongbin Li, Yang You:
Sequence Parallelism: Making 4D Parallelism Possible. - Franz Rußwurm, Pavel Osinenko, Stefan Streif:
Optimal control of centrifugal spreader. - Zhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli:
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction. - Thomas Orton:
An Introduction To Regret Minimization In Algorithmic Trading: A Survey of Universal Portfolio Techniques. - Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni:
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. - Ratna Mandal, Prasenjit Karmakar, Soumyajit Chatterjee, Debaleen Das Spandan, Shouvit Pradhan, Sujoy Saha, Sandip Chakraborty, Subrata Nandi:
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. - Yang Li, Zinc Zhang, Hutchin Huang:
Enhance Multimodal Model Performance with Data Augmentation: Facebook Hateful Meme Challenge Solution. - Mohamed Boujoudar, Abdelaziz Beljadid, Ahmed Taik:
Modeling of unsaturated flow through porous media using meshless methods. - Mihály András Csirik, Andre Laestadius:
Coupled-Cluster Theory Revisited. - Jinbae Im, Moonki Kim, Hoyeop Lee, Hyunsouk Cho, Sehee Chung:
Self-Supervised Multimodal Opinion Summarization. - Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas:
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. - David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. - Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople:
Causally Constrained Data Synthesis for Private Data Release. - Alexander Marinsek, Liesbet Van der Perre:
Keeping up with the bits: tracking physical layer latency in millimeter-wave Wi-Fi networks. - Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao:
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model. - Nieves Montes:
A Computational Model of the Institutional Analysis and Development Framework. - Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose:
A Framework for Explainable Concept Drift Detection in Process Mining. - Lorenzo Pareschi, Thomas Rey:
Moment preserving Fourier-Galerkin spectral methods and application to the Boltzmann equation. - Alexander Weinrauch, Hans-Peter Seidel, Daniel Mlakar, Markus Steinberger, Rhaleb Zayer:
A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces. - Siddharth Gavhale, Karel Svadlenka:
Dewetting dynamics of anisotropic particles - a level set numerical approach. - Monika Henzinger, Ami Paz, Stefan Schmid:
On the Complexity of Weight-Dynamic Network Algorithms. - Luyu Wang, Cornelis Vuik, Hadi Hajibeygi:
A preconditioned mixed-FE scheme with stabilized Lagrange multiplier for frictional contact mechanics of crossing fractures in porous media. - Namita Behera:
Backward Error of Matrix Rational Function. - Shanchen Pang, Xixi Tao, Yukun Dong:
An Efficient Style Virtual Try on Network. - K. Hasan, Abdelaziz Beljadid:
Modelling of coupled surface and subsurface water flows. - Aymen Alsaadi, André Merzky, Kyle Chard, Shantenu Jha, Matteo Turilli:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. - Zhiyong Zhou:
Sparse recovery based on the generalized error function. - Mathias Højgaard Jensen, Stefan Sommer:
Simulation of Conditioned Semimartingales on Riemannian Manifolds. - Seth Gilbert, Uri Meir, Ami Paz, Gregory Schwartzman:
On the Complexity of Load Balancing in Dynamic Networks. - Ljubisa Stankovic:
On the Sparsity Bound for the Existence of a Unique Solution in Compressive Sensing by the Gershgorin Theorem. - Leon Sering, Laura Vargas Koch, Theresa Ziemke:
Convergence of a Packet Routing Model to Flows Over Time. - Julien Grand-Clément, Christian Kroer:
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving. - Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen:
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. - Clara Lucía Galimberti, Luca Furieri, Liang Xu, Giancarlo Ferrari-Trecate:
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design. - Boris N. Khoromskij, Britta Schmitt, Volker Schulz:
Tensor numerical method for optimal control problems constrained by an elliptic operator with general rank-structured coefficients. - George A. Constantinides, Fredrik Dahlqvist, Zvonimir Rakamaric, Rocco Salvia:
Rigorous Roundoff Error Analysis of Probabilistic Floating-Point Computations. - Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song:
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. - Ibnu Daqiqil Id, Masanobu Abe, Sunao Hara:
Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model. - Jonathan Bourne:
High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding. - Qing Sun, Parminder Bhatia:
Neural Entity Recognition with Gazetteer based Fusion. - Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks. - Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici, Amelia Glaese, Zafarali Ahmed, Tyler Jackson, Shibl Mourad, Doina Precup:
AndroidEnv: A Reinforcement Learning Platform for Android. - Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Simon T. Isele, Stefan Roos:
A Dataset for Provident Vehicle Detection at Night. - Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. - Haoyu Li, Han-Wei Shen:
Time Varying Particle Data Feature Extraction and Tracking with Neural Networks. - Alessio Galatolo, Alfred Nilsson, Roderick Karlemstrand, Yineng Wang:
Using Early-Learning Regularization to Classify Real-World Noisy Data. - Juan Ungredda, Jürgen Branke:
Bayesian Optimisation for Constrained Problems. - T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra:
An Impossibility Theorem for Node Embedding. - Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. - K. Gaurav Kumar, Baibhab Chatterjee, Shreyas Sen:
OpenSerDes: An Open Source Process-Portable All-Digital Serial Link. - Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. - Harideep Nair, John Paul Shen, James E. Smith:
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks. - Iana Sereda, Grigory V. Osipov:
How saccadic vision might help with theinterpretability of deep networks. - Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král:
ICDAR 2021 Competition on Historical Map Segmentation. - Sean Trott, Benjamin K. Bergen:
RAW-C: Relatedness of Ambiguous Words-in Context (A New Lexical Resource for English). - Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. - Amir Barda, Yotam Erel, Amit H. Bermano:
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation. - Juan Ungredda, Mariapia Marchi, Teresa Montrone, Jürgen Branke:
One Step Preference Elicitation in Multi-Objective Bayesian Optimization. - Emanuele Vitali, Anton Lokhmotov, Gianluca Palermo:
Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve. - Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West:
Coarse-Grid Selection Using Simulated Annealing. - Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe:
GoSafe: Globally Optimal Safe Robot Learning. - Lara Hoffmann, Clemens Elster:
Deep Ensembles from a Bayesian Perspective. - Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni:
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. - Dung Nguyen, Anil Vullikanti:
Differentially Private Densest Subgraph Detection. - Li Yang, Abdallah Moubayed, Abdallah Shami:
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles. - Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. - Michael J. Proulx, Theodoros Eracleous, Ben Spencer, Anna Passfield, Alexandra A. de Sousa, Ali Mohammadi:
Electromagnetic actuation for a vibrotactile display: Assessing stimuli complexity and usability. - Ruiyang Dai, Axel Modave, Jean-François Remacle, Christophe Geuzaine:
Multidirectionnal sweeping preconditioners with non-overlapping checkerboard domain decomposition for Helmholtz problems. - Fernando E. Casado, Dylan Lema, Marcos F. Criado, Roberto Iglesias, Carlos Vázquez Regueiro, Senén Barro:
Concept drift detection and adaptation for federated and continual learning. - Felix Stahlberg, Shankar Kumar:
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. - Christopher Briggs, Zhong Fan, Peter Andras:
Federated Learning for Short-term Residential Energy Demand Forecasting. - Murray Shanahan, Christos Kaplanis, Jovana Mitrovic:
Encoders and Ensembles for Task-Free Continual Learning. - Pratyush Muthukumar, Karishma Muthukumar, Deepan Muthirayan, Pramod P. Khargonekar:
Generative Adversarial Imitation Learning for Empathy-based AI. - Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon:
Quantization and Deployment of Deep Neural Networks on Microcontrollers. - Kaixin Zhang, Hongzhi Wang, Tongxin Li, Han Hu, Jiye Qiu, Songling Zou:
TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system. - Stanislav Fort, Andrew Brock, Razvan Pascanu, Soham De, Samuel L. Smith:
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error. - Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone:
Adversarial Intrinsic Motivation for Reinforcement Learning. - Zhiyuan Yu, Zack Kaplan, Qiben Yan, Ning Zhang:
Security and Privacy in the Emerging Cyber-Physical World: A Survey. - Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre:
Tracking Without Re-recognition in Humans and Machines. - Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering. - Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu:
Recent advances and clinical applications of deep learning in medical image analysis. - Vishrant Tripathi, Eytan H. Modiano:
An Online Learning Approach to Optimizing Time-Varying Costs of AoI. - Vânia Mendonça, Ricardo Rei, Luísa Coheur, Alberto Sardinha, Ana Lúcia Santos:
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort. - James Saxon, Nick Feamster:
GPS-Based Geolocation of Consumer IP Addresses. - Sangwook Park, David K. Han, Mounya Elhilali:
Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures. - Philipp Joppich, Sebastian Dorn, Oliver De Candido, Wolfgang Utschick, Jakob Knollmüller:
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders. - Camille Coti, Allen D. Malony:
Measuring OpenSHMEM Communication Routines with SKaMPI-OpenSHMEM User's manual. - Zachary P. Neal, Rachel Domagalski, Bruce Sahan:
Comparing Models for Extracting the Backbone of Bipartite Projections. - Tugrulcan Elmas, Rebekah Overdorf, Karl Aberer:
Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention. - Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai:
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. - Wasilij Barsukow:
Approximate evolution operators for the Active Flux method. - Fabiola Moyón, Daniel Méndez Fernández, Kristian Beckers, Sebastian Klepper:
How to Integrate Security Compliance Requirements with Agile Software Engineering at Scale? - Yanying Zhou, Shijie Li, Jochen Garcke:
R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments. - Milan Ceska, Christian Dehnert, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen:
Model Repair Revamped: On the Automated Synthesis of Markov Chains. - Fabiola Moyón, Daniel Méndez, Kristian Beckers, Sebastian Klepper:
Using Process Models to understand Security Standards. - Masoumeh Shafieinejad, Huseyin A. Inan, Marcello Hasegawa, Robert Sim:
On Privacy and Confidentiality of Communications in Organizational Graphs. - Natalie Brace, Kristi A. Morgansen:
Observability Conditions and Sensing Quality for Unicycle Systems with Constant External Forcing. - Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou:
Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices. - Wadii Boulila, Anmar Abuhamdah, Maha Driss, Slim Kammoun, Jawad Ahmad:
GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide. - Arnaud Blouin, Jean-Marc Jézéquel:
Interacto: A Modern User Interaction Processing Model. - YuanZheng Hu, Marina Sokolova:
Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data. - Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel:
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. - Surya Selvam, Vinod Ganesan, Pratyush Kumar:
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. - Kathryn-Ann Tait, Jan Sher Khan, Fehaid Alqahtani, Awais Aziz Shah, Fadia Ali Khan, Mujeeb Ur Rehman, Wadii Boulila, Jawad Ahmad:
Intrusion Detection using Machine Learning Techniques: An Experimental Comparison. - Grant Ho, Mayank Dhiman, Devdatta Akhawe, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner:
Hopper: Modeling and Detecting Lateral Movement (Extended Report). - Jitendra Parmar, Satyendra Singh Chouhan, Santosh Singh Rathore:
Open-world Machine Learning: Applications, Challenges, and Opportunities. - Chen Zheng, Parisa Kordjamshidi:
Relational Gating for "What If" Reasoning. - Americo Cunha Jr., Christian Soize, Rubens Sampaio:
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings. - Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. - Georgios N. Psarros, Pantelis A. Dratsas, Stavros A. Papathanassiou:
A comparison between central- and self-dispatch storage management principles in island systems. - Americo Cunha Jr.:
Enhancing the performance of a bistable energy harvesting device via the cross-entropy method. - Enpeng Yuan, Pascal Van Hentenryck:
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization. - Chao Ma, Lexing Ying:
The Sobolev Regularization Effect of Stochastic Gradient Descent. - Shreyas Saxena, Nidhi Vyas, Dennis DeCoste:
Training With Data Dependent Dynamic Learning Rates. - Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction. - Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering. - Abhiroop Sarkar, Mary Sheeran:
Hailstorm : A Statically-Typed, Purely Functional Language for IoT Applications. - Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto:
Inspecting the concept knowledge graph encoded by modern language models. - Kyle MacMillan, Tarun Mangla, James Saxon, Nick Feamster:
Measuring the Performance and Network Utilization of Popular Video Conferencing Applications. - Mingzhi Yu, Diane J. Litman:
Leveraging Linguistic Coordination in Reranking N-Best Candidates For End-to-End Response Selection Using BERT. - Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan:
Efficient distributed algorithms for Convolutional Neural Networks. - Malwina Kubas, Grzegorz Sarwas:
FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation. - Rihui Lan, Lili Ju, Zhu Wang, Max D. Gunzburger, Philip Jones:
High-Order Multirate Explicit Time-Stepping Schemes for the Baroclinic-Barotropic Split Dynamics in Primitive Equations. - Andrea Flamini, Riccardo Longo, Alessio Meneghetti:
Multidimensional Byzantine Agreement in a Synchronous Setting. - Manuel Costanzo, Enzo Rucci, Carlos García Sánchez, Marcelo R. Naiouf:
Early Experiences Migrating CUDA codes to oneAPI. - Juste Raimbault:
Integrating and validating urban simulation models. - ElMouatez Billah Karbab, Mourad Debbabi:
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques. - Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons:
Efficient and Accurate Gradients for Neural SDEs. - Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim:
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. - Shrey Desai, Ahmed Aly:
Diagnosing Transformers in Task-Oriented Semantic Parsing. - Hang Shuai, Fangxing Li, Héctor Pulgar-Painemal, Yaosuo Xue:
Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems. - Jan Janak, Teresa Tseng, Aliza Isaacs, Henning Schulzrinne:
An Analysis of Amazon Echo's Network Behavior. - Poojan Oza, Vishwanath A. Sindagi, Vibashan VS, Vishal M. Patel:
Unsupervised Domain Adaption of Object Detectors: A Survey. - Pangun Park, Piergiuseppe Di Marco, Carlo Fischione:
Wireless for Control: Over-the-Air Controller. - Andrea Tagliabue, Jonathan P. How:
Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. - Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Kumar Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. - Robin Fritsch, Roger Wattenhofer:
A Note on Optimal Fees for Constant Function Market Makers. - Mark A. Iwen, Arman Tavakoli, Benjamin Schmidt:
Lower Bounds on the Low-Distortion Embedding Dimension of Submanifolds of Rn. - Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Inference via Reinforcement Learning. - Divya Siddarth, Vi Hart, Bethan Cantrell, Kristina Yasuda, Josh Mandel, Karen Easterbrook:
Vaccine Credential Technology Principles. - Su Young Lee, Sae-Young Chung:
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture. - Alexander Spitzer, Nathan Michael:
Feedback Linearization for Quadrotors with a Learned Acceleration Error Model. - Xi Li, David J. Miller, Zhen Xiang, George Kesidis:
A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. - Darwin Saire, Adín Ramírez Rivera:
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. - Zeeshan Ahmad, Naimul Mefraz Khan:
Inertial Sensor Data To Image Encoding For Human Action Recognition. - Niraj Lal, Toby Price, Leon Kwek, Christopher Wilson, Farhad Billimoria, Trent Morrow, Matt Garbutt, Dean Sharafi:
Essential System Services in Grids Dominated by Renewable Energy. - Qing Lu, Junxian Wang, Shi Shu, Jie Peng:
Two-level overlapping Schwarz methods based on local generalized eigenproblems for Hermitian variational problems. - Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori:
Autonomous Optimization of Fluid Systems at Varying Length Scales. - Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan:
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach. - Jingyun Jia, Philip K. Chan:
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition. - Hao Su:
One-shot Learning with Absolute Generalization. - Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi:
ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation. - Paolo Tell, Jil Klünder, Steffen Küpper, David Raffo, Stephen G. MacDonell, Jürgen Münch, Dietmar Pfahl, Oliver Linssen, Marco Kuhrmann:
Towards the statistical construction of hybrid development methods. - Nan Chen, Quanling Deng, Samuel N. Stechmann:
Lagrangian Data Assimilation and Uncertainty Quantification for Sea Ice Floes with an Efficient Physics-Constrained Superfloe Parameterization. - El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed:
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation. - Youry Khmelevsky, Gaétan J. D. R. Hains:
Parallel Programming Applied Research Projects for Teaching Parallel Programming to Beginner Students. - Yichen Cao, Yufei Wei, Shichao Liu, Lin Xu:
2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image. - Hieu Tran, Cuong V. Dinh, Long N. Phan, Son Truong Nguyen:
Hierarchical Transformer Encoders for Vietnamese Spelling Correction. - Björn Borgmann, Volker Schatz, Marcus Hammer, Marcus Hebel, Michael Arens, Uwe Stilla:
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors. - Chelsea Edmonds, Lawrence C. Paulson:
A Modular First Formalisation of Combinatorial Design Theory. - Douglas Kirkpatrick, Victoria Cao, Clifford Bohm:
Fragmentation; a Tool for Finding Information, Encryption and Data Flow in Systems. - Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation. - A. S. M. Rizvi, John S. Heidemann:
Chhoyhopper: A Moving Target Defense with IPv6. - Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, Wenping Wang:
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training. - Gonzalo Navarro, Cristian Urbina:
On Stricter Reachable Repetitiveness Measures. - Daulet Baimukashev, Bexultan Rakhim, Matteo Rubagotti, Huseyin Atakan Varol:
End-to-End Deep Fault Tolerant Control. - Shin-Hung Chang, Cheng-Wen Hsu, Hsing-Ying Li, Wei-Sheng Zeng, Jan-Ming Ho:
Short-Term Stock Price-Trend Prediction Using Meta-Learning. - Bifeng Ling, Jiangbin Lyu, Liqun Fu:
Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System. - Christian Meurisch:
The Trusted Edge. - Vivek Kumar Singh, Satya Swarup Srichandan, Hiran H. Lathabai:
ResearchGate and Google Scholar: How much do they differ in publications, citations and different metrics and why? - Junfeng Li, Dan Li, Yukai Huang, Yang Cheng, Ruilin Ling:
High Performance and Scalable NAT System on Commodity Platforms. - Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro:
Automated Generation of Robotic Planning Domains from Observations. - Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun:
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. - Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. - Vektor Dewanto, Marcus Gallagher:
A nearly Blackwell-optimal policy gradient method. - Minha Kim, Shahroz Tariq, Simon S. Woo:
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning. - Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang:
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference. - Jingyi Liu, Zhongyu Li, Xiayue Fan, Jintao Yan, Bolin Li, Xuemeng Hu, Qing Xia, Yue Wu:
CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals. - Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. - Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, Colin Raffel:
ByT5: Towards a token-free future with pre-trained byte-to-byte models. - Bin Sun, Shaoxiong Feng, Yiwei Li, Jiamou Liu, Kan Li:
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses. - Eman Alashwali, Fatimah Alashwali:
Saudi Parents' Security and Privacy Concerns about their Children's Smart Device Applications. - (Withdrawn) Noised Consistency Training for Text Summarization.
- Akinori F. Ebihara, Taiki Miyagawa:
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization. - Daogao Liu, Zhou Lu:
Curse of Dimensionality in Unconstrained Private Convex ERM. - Christina Nicolaou, Ahmad Mansour, Kristof Van Laerhoven:
On-site Online Feature Selection for Classification of Switchgear Actuations. - Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to Select Cuts for Efficient Mixed-Integer Programming. - Yu Bai, Yang Gao, Heyan Huang:
Cross-Lingual Abstractive Summarization with Limited Parallel Resources. - Ori Lahav, Guy Katz:
Pruning and Slicing Neural Networks using Formal Verification. - Wei Bi, Huayang Li, Jiacheng Huang:
Data Augmentation for Text Generation Without Any Augmented Data. - Dabeen Lee, Milan Vojnovic:
Learning to Schedule. - Hammad Ud Din Ahmed, Usama Ijaz Bajwa, Fan Zhang, Muhammad Waqas Anwar:
Deception Detection in Videos using the Facial Action Coding System. - Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum:
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering. - Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song:
Domain-Adaptive Pretraining Methods for Dialogue Understanding. - Bernt Ivar Utstøl Nødland:
Measuring global properties of neural generative model outputs via generating mathematical objects. - Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen:
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications. - Qing-Long Zhang, Yubin Yang:
ResT: An Efficient Transformer for Visual Recognition. - Zhan Qu, Huan Jin, Yang Zhou, Zhen Yang, Wei Zhang:
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point. - S. Akshay, Paul Gastin, Karthik R. Prakash:
Fast zone-based algorithms for reachability in pushdown timed automata. - Victor Besnier, David Picard, Alexandre Briot:
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving. - Ming Sun, Haoxuan Dou, Baopu Li, Lei Cui, Junjie Yan, Wanli Ouyang:
AutoSampling: Search for Effective Data Sampling Schedules. - Mingfu Xue, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu:
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption. - Fan Huang:
Network Activities Recognition and Analysis Based on Supervised Machine Learning Classification Methods Using J48 and Naïve Bayes Algorithm. - Joonyoung Park, Jihyeok Park, Dongjun Youn, Sukyoung Ryu:
Accelerating JavaScript Static Analysis via Dynamic Shortcuts (Extended Version). - Mikolás Janota, Haniel Barbosa, Pascal Fontaine, Andrew Reynolds:
Fair and Adventurous Enumeration of Quantifier Instantiations. - Susanne Engels, Falk Schellenberg, Christof Paar:
SPFA: SFA on Multiple Persistent Faults. - Rebekah Baglini, Arthur Hjorth:
Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts. - Karin Sevegnani, David M. Howcroft, Ioannis Konstas, Verena Rieser:
OTTers: One-turn Topic Transitions for Open-Domain Dialogue. - Zhuangzhuang Cui, Ke Guan, Ismail Güvenç, Claude Oestges, Zhangdui Zhong:
Coverage Analysis of Cellular-Connected UAV Communications with 3GPP Antenna and Channel Models. - Amin Honarmandi Shandiz, László Tóth:
Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks. - Giorgio Cipolloni, László Erdös, Dominik Schröder:
On the condition number of the shifted real Ginibre ensemble. - Agnese Pacifico, Andrea Pesare, Maurizio Falcone:
A New Algorithm for the LQR Problem with Partially Unknown Dynamics. - Carina Wiesen, Steffen Becker, Nils Albartus, Christof Paar, Nikol Rummel:
Promoting the Acquisition of Hardware Reverse Engineering Skills. - Oana Cocarascu, Andrew McLean, Paul French, Francesca Toni:
An Explanatory Query-Based Framework for Exploring Academic Expertise. - Telikepalli Kavitha, Rohit Vaish:
Matchings and Copeland's Method. - Zhuming Zhang, Yongtao Hu, Guoxing Yu, Jingwen Dai:
DeepTag: A General Framework for Fiducial Marker Design and Detection. - Silvia Bonomi, Antonella Del Pozzo, Álvaro García-Pérez, Sara Tucci Piergiovanni:
SoK: Achieving State Machine Replication in Blockchains based on Repeated Consensus. - Pavlos Fafalios, Kostas Petrakis, Georgios Samaritakis, Korina Doerr, Athina Kritsotaki, Yannis Tzitzikas, Martin Doerr:
FAST CAT: Collaborative Data Entry and Curation for Semantic Interoperability in Digital Humanities. - Tooru Akagi, Dominik Köppl, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Grammar Index By Induced Suffix Sorting. - Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. - Avram Sidi:
Application of a Generalized Secant Method to Nonlinear Equations with Complex Roots. - Chang-Hwan Son, Pung-Hwi Ye:
New Image Captioning Encoder via Semantic Visual Feature Matching for Heavy Rain Images. - Sorin Mihai Grigorescu, Mihai V. Zaha, Bogdan Trasnea, Cosmin Ginerica:
Embedded Vision for Self-Driving on Forest Roads. - Peter Mell:
The Generation of Security Scoring Systems Leveraging Human Expert Opinion. - Maik Ender, Amir Moradi, Christof Paar:
The Unpatchable Silicon: A Full Break of the Bitstream Encryption of Xilinx 7-Series FPGAs. - Ioannis Kontoyiannis, Lawrence Tray:
Inferring community characteristics in labelled networks. - Yasir Kilic:
Exploiting Transductive Property of Graph Convolutional Neural Networks with Less Labeling Effort. - Max Hoffmann, Falk Schellenberg, Christof Paar:
ARMORY: Fully Automated and Exhaustive Fault Simulation on ARM-M Binaries. - Janne Alatalo, Joni Korpihalkola, Tuomo Sipola, Tero Kokkonen:
Chromatic and spatial analysis of one-pixel attacks against an image classifier. - Serena Giurgola, Simone Piaggesi, Márton Karsai, Yelena Mejova, André Panisson, Michele Tizzoni:
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. - Daniel Schäle, Martin F. Stoelen, Erik Kyrkjebø:
Incremental Learning of Probabilistic Movement Primitives (ProMPs) for Human-Robot Cooperation. - Qiuyue Liu, Shiyuan Qiang, Minghui Yang, Keqin Feng:
Linear Complexity of Binary Interleaved Sequences of Period 4n. - Jan Van Haaren:
"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer. - Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, Marco Turchi:
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation. - Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. - Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek:
Do not explain without context: addressing the blind spot of model explanations. - Maxwell Hogan, Duarte Rondao, Nabil Aouf, Olivier Dubois-Matra:
Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery. - Felix Bartel, Ralf Hielscher:
Optimality of Cross-validation in Scattered Data Approximation. - Andrea Reyes Elizondo, Clara Calero-Medina, Martijn S. Visser:
The three-step workflow: a pragmatic approach to allocating academic hospitals' affiliations for bibliometric purposes. - Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Early Exiting with Ensemble Internal Classifiers. - Richard Klein, Turgay Çelik:
The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks. - Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu:
SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily. - Guangye Chen, Luis Chacón, Truong B. Nguyen:
An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations. - Omar J. Faqir, Eric C. Kerrigan:
Inaccuracy matters: accounting for solution accuracy in event-triggered nonlinear model predictive control. - Neil Zeghidour, Olivier Teboul, David Grangier:
DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding. - Aras Dargazany:
DRL: Deep Reinforcement Learning for Intelligent Robot Control - Concept, Literature, and Future. - Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela:
Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning. - Riccardo de Lutio, Damon Little, Barbara Ambrose, Serge J. Belongie:
The Herbarium 2021 Half-Earth Challenge Dataset. - Xiaofeng Cao, Ivor W. Tsang:
Distribution Matching for Machine Teaching. - Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich:
A Survey on Anomaly Detection for Technical Systems using LSTM Networks. - Brigitte Krenn, Stephanie Gross, Bernhard Dieber, Horst Pichler, Kathrin Meyer:
A proxemics game between festival visitors and an industrial robot. - Daniel J. Pitchforth, Timothy J. Rogers, Ulf T. Tygesen, Elizabeth J. Cross:
Grey-box models for wave loading prediction. - Thomas Bellotti, Loïc Gouarin, Benjamin Graille, Marc Massot:
High accuracy analysis of adaptive multiresolution-based lattice Boltzmann schemes via the equivalent equations. - Marco Scutari, Manuel Proissl:
Achieving Fairness with a Simple Ridge Penalty. - Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld:
Language Models Use Monotonicity to Assess NPI Licensing. - Mathias Morbitzer, Sergej Proskurin, Martin Radev, Marko Dorfhuber, Erick Quintanar Salas:
SEVerity: Code Injection Attacks against Encrypted Virtual Machines. - Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao:
Improving Facial Attribute Recognition by Group and Graph Learning. - Shiyuan Qiang, Xiaoyan Jing, Minghui Yang, Keqin Feng:
4-Adic Complexity of Interleaved Quaternary Sequences. - Changjiang Ji, Yan Xu, Sihuang Hu:
Extended Cyclic Codes Sandwiched Between Reed-Muller Codes. - Qile Yan, Shixiao Willing Jiang, John Harlim:
Kernel-based methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds. - Gal Amram, Suguman Bansal, Dror Fried, Lucas M. Tabajara, Moshe Y. Vardi, Gera Weiss:
Adapting Behaviors via Reactive Synthesis. - Brigitte Krenn, Tim Reinboth, Stephanie Gross, Christine Busch, Martina Mara, Kathrin Meyer, Michael Heiml, Thomas Layer-Wagner:
It's your turn! - A collaborative human-robot pick-and-place scenario in a virtual industrial setting. - Felix A. Wolf, Linard Arquint, Martin Clochard, Wytse Oortwijn, João Carlos Pereira, Peter Müller:
Gobra: Modular Specification and Verification of Go Programs (extended version). - (Withdrawn) A General Taylor Framework for Unifying and Revisiting Attribution Methods.
- Weiyu Guo, Zhijiang Yang, Shu Wu, Fu Chen:
Explainable Enterprise Credit Rating via Deep Feature Crossing Network. - Tanvir Ahamed, Bo Zou:
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping. - Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture. - Menglu Yu, Chuan Wu, Bo Ji, Jia Liu:
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling. - Zhuoyuan Mao, Prakhar Gupta, Chenhui Chu, Martin Jaggi, Sadao Kurohashi:
Lightweight Cross-Lingual Sentence Representation Learning. - Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. - Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain:
GAN for time series prediction, data assimilation and uncertainty quantification. - Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang:
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging. - Yi Ke Yun, Chun-Wei Tan, Takahiro Tsubono:
Recursive Contour Saliency Blending Network for Accurate Salient Object Detection. - Vladislav Tankov, Yaroslav Golubev, Timofey Bryksin:
Kotless: a Serverless Framework for Kotlin. - Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. - Yakov Babichenko, Inbal Talgam-Cohen, Haifeng Xu, Konstantin Zabarnyi:
Regret-Minimizing Bayesian Persuasion. - Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Accelerating BERT Inference for Sequence Labeling via Early-Exit. - Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. - Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. - Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. - Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li:
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization. - Jingyi Xu, Tony Q. S. Quek, Kai Fong Ernest Chong:
Training Classifiers that are Universally Robust to All Label Noise Levels. - Paulo Silva, Thiago Emmanuel Pereira:
Performance Evaluation of Snapshot Methods to Warm the Serverless Cold Start. - Leonardo Ayala, Sebastian J. Wirkert, Anant Vemuri, Tim Adler, Silvia Seidlitz, Sebastian Pirmann, Christina Engels, Dogu Teber, Lena Maier-Hein:
Video-rate multispectral imaging in laparoscopic surgery: First-in-human application. - Adrien Chan-Hon-Tong, Gaston Lenczner, Aurélien Plyer:
Demotivate adversarial defense in remote sensing. - Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo, Ramtin Zand:
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. - Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu:
Learning Structures for Deep Neural Networks. - Saif Ur Rehman, Muhammad Rashid Razzaq, Muhammad Hadi Hussian:
Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano. - Zijian Hu, Chengxiang Zhuge, Wei Ma:
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds. - Tore Kasper Frederiksen:
A Holistic Approach to Enhanced Security and Privacy in Digital Health Passports. - Oleg Smirnov:
TensorFlow ManOpt: a library for optimization on Riemannian manifolds. - Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Geometric Deep Learning and Equivariant Neural Networks. - Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou:
Quantifying Information Leakage from Gradients. - Farshad Rostami Ghadi, Francisco Javier Martin-Vega, Francisco Javier López-Martínez:
Capacity of Backscatter Communication under Arbitrary Fading Dependence. - Mitchell R. Cohen, Khairi Abdulrahim, James Richard Forbes:
Finite-Horizon LQR Control of Quadrotors on SE2(3). - Dong-Young Lim, Sotirios Sabanis:
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks. - Christophe Roux, Elias Samuel Wirth, Sebastian Pokutta, Thomas Kerdreux:
Efficient Online-Bandit Strategies for Minimax Learning Problems. - Sungho Lee, Hyeong-Seok Choi, Kyogu Lee:
Differentiable Artificial Reverberation. - Shaowei Zhu, Zachary Kincaid:
Reflections on Termination of Linear Loops. - Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens:
Towards Deterministic Diverse Subset Sampling. - Anna Rogers:
Changing the World by Changing the Data. - David Winant, Joachim Schreurs, Johan A. K. Suykens:
Latent Space Exploration Using Generative Kernel PCA. - Alfonso Baños, Antonio Barreiro:
Reset control systems: the zero-crossing resetting law. - Edward Crowder, Jay Lansiquot:
Darknet Data Mining - A Canadian Cyber-crime Perspective. - Sreyan Ghosh, Sonal Kumar:
Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments. - Xavier Franch, Martin Glinz, Daniel Méndez, Norbert Seyff:
A Study about the Knowledge and Use of Requirements Engineering Standards in Industry. - Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald:
NViSII: A Scriptable Tool for Photorealistic Image Generation. - Olivia Haring, Sylvia Worlali Azumah, Nelly Elsayed:
A Review of Network Evolution Towards a Smart Connected World. - Taosha Fan, Kalyan Vasudev Alwala, Donglai Xiang, Weipeng Xu, Todd D. Murphey, Mustafa Mukadam:
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation. - Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster:
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi:
Pull Request Decision Explained: An Empirical Overview. - Carlos Gershenson, Jitka Cejková:
Artificial life: sustainable self-replicating systems. - Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma:
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction. - Vudtiwat Ngampruetikorn, David J. Schwab:
Perturbation Theory for the Information Bottleneck. - Lingxi Xie, Xiaopeng Zhang, Longhui Wei, Jianlong Chang, Qi Tian:
What Is Considered Complete for Visual Recognition? - Ilja Chelak, Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Igor Belykh:
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching. - Rustam Latypov, Jara Uitto:
Deterministic 3-Coloring of Trees in the Sublinear MPC model. - Pierce Burke, Richard Klein:
Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing. - Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-François Chamberland:
LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access. - Caleb M. Bowyer:
Improving Generalization in Mountain Car Through the Partitioned Parameterized Policy Approach via Quasi-Stochastic Gradient Descent. - Emanuele Guidotti, Alfio Ferrara:
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics. - Keren Ye, Adriana Kovashka:
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation. - Nancy Xin Ru Wang, Diwakar Mahajan, Marina Danilevsky, Sara Rosenthal:
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). - Mycal Tucker, Peng Qian, Roger Levy:
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings. - Zhiyong Sun, Anders Rantzer, Zhongkui Li, Anders Robertsson:
Distributed adaptive stabilization. - Matteo Cinelli, Andraz Pelicon, Igor Mozetic, Walter Quattrociocchi, Petra Kralj Novak, Fabiana Zollo:
Online Hate: Behavioural Dynamics and Relationship with Misinformation. - Juan E. Tapia, Sebastian Gonzalez, Christoph Busch:
Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks. - Ankit Shah, Srishti Singh, Shih-Yen Tao:
Feature extraction and evaluation for BioMedical Question Answering. - Bingyan Wang, Yuling Yan, Jianqing Fan:
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model. - S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, Sylvain Paris, Yagiz Aksoy:
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging. - Scott Sussex, Andreas Krause, Caroline Uhler:
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning. - Xuechen Li, Chris J. Maddison, Daniel Tarlow:
Learning to Extend Program Graphs to Work-in-Progress Code. - Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill:
Towards mental time travel: a hierarchical memory for reinforcement learning agents. - Xavier Gitiaux, Huzefa Rangwala:
Fair Representations by Compression. - Shih-Ting Huang, Johannes Lederer:
Targeted Deep Learning: Framework, Methods, and Applications. - Francesco Farina, Emma Slade:
Symmetry-driven graph neural networks. - Roger Denis Vieira, Kleinner Farias:
On the Usage of Psychophysiological Data in Software Engineering: An Extended Systematic Mapping Study. - Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang:
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. - Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. - Xinyi Li, Haibin Ling:
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation. - Florian M. Farke, David G. Balash, Maximilian Golla, Markus Dürmuth, Adam J. Aviv:
Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google's My Activity (Extended Version). - Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. - Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
The Evaluation of Rating Systems in Team-based Battle Royale Games. - Mikko Lehtimäki, Lassi Paunonen, Marja-Leena Linne:
Accelerating Neural ODEs Using Model Order Reduction. - Franck Djeumou, Murat Cubuktepe, Craig Lennon, Ufuk Topcu:
Task-Guided Inverse Reinforcement Learning Under Partial Information. - Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. - George Cazenavette, Simon Lucey:
On the Bias Against Inductive Biases. - Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. - Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas:
Gotta Go Fast When Generating Data with Score-Based Models. - Aryaman Arora, Adam Farris, Gopalakrishnan R, Samopriya Basu:
Bhāṣācitra: Visualising the dialect geography of South Asia. - Glenn Dawson, Robi Polikar:
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. - Navid Ardeshir, Clayton Sanford, Daniel Hsu:
Support vector machines and linear regression coincide with very high-dimensional features. - Xiaopei Wan, Shengjie Chen, Yujiu Yang, Zhenhua Guo, Fangbo Tao:
Augmenting Anchors by the Detector Itself. - Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze:
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering. - Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra:
Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization. - Mohamed-Raed Blel, Virginie Ehrlacher, Tony Lelièvre:
Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables. - Lukasz Neumann, Pawel Wawrzynski:
Deep Memory Update. - Mark Ainsworth, Justin Dong:
Galerkin Neural Networks: A Framework for Approximating Variational Equations with Error Control. - Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su:
Weighted Training for Cross-Task Learning. - Grzegorz Rypesc, Lukasz Lepak, Pawel Wawrzynski:
Reinforcement Learning for on-line Sequence Transformation. - Ashkan Javaherian, Ben T. Cox:
Ray-based inversion accounting for scattering for biomedical ultrasound computed tomography. - Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut:
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning. - Kevin Batz, Mingshuai Chen, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Philipp Schröer:
Latticed k-Induction with an Application to Probabilistic Programs. - Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind:
An Attention Free Transformer. - Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen, Matt Thomson:
Reinforcement Learning reveals fundamental limits on the mixing of active particles. - Francesco Pelosin, Andrea Torsello:
More Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. - Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. - Christian David Marton, Guillaume Lajoie, Kanaka Rajan:
Efficient and robust multi-task learning in the brain with modular task primitives. - George Cazenavette, Manuel Ladron de Guevara:
MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation. - Jack Koch, Lauro Langosco, Jacob Pfau, James Le, Lee Sharkey:
Objective Robustness in Deep Reinforcement Learning. - Matias I. Müller, Cristian R. Rojas:
Asymptotically Optimal Bandits under Weighted Information. - Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos:
Towards More Equitable Question Answering Systems: How Much More Data Do You Need? - Daniel Steinberg, Paul Munro:
Visualizing Representations of Adversarially Perturbed Inputs. - Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow:
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations. - Mahroo Bahreinian, Marc Mitjans, Roberto Tron:
Robust Sample-Based Output-Feedback Path Planning. - Adam Tauman Kalai, Varun Kanade:
Towards optimally abstaining from prediction. - Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. - Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee:
Risk-Aware Transfer in Reinforcement Learning using Successor Features. - Doga Gunduzalp, Batuhan Cengiz, Mehmet Ozan Unal, Isa Yildirim:
3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions. - Sudarshan Lamkhede, Christoph Kofler:
Recommendations and Results Organization in Netflix Search. - Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Alfonso Pierantonio:
Towards a modeling and analysis environment for industrial IoT systems. - Gabriel C. Ullmann, Cristiano Politowski, Fábio Petrillo, Yann-Gaël Guéhéneuc:
Aspects of High-Rated Games. - Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci:
Transformer-Based Source-Free Domain Adaptation. - Alek Dimitriev, Mingyuan Zhou:
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables. - Hongjing Zhang, Ian Davidson:
Deep Fair Discriminative Clustering. - Kuniaki Saito, Donghyun Kim, Kate Saenko:
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. - Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor José Nunes Coelho Jr.:
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias. - Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Annotation Inconsistency and Entity Bias in MultiWOZ. - Farah Ferdaus, Bashir M. Sabquat Bahar Talukder, Md. Tauhidur Rahman:
Approximate MRAM: High-performance and Power-efficient Computing with MRAM Chips for Error-tolerant Applications. - Keenan Burnett, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot:
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning. - Valerii Semenets, Svitlana Gryshko, Mariia Golovianko, Oleksandr O. Shevchenko, Liudmyla Titova, Olena Kaikova, Vagan Y. Terziyan, Timo Tiihonen:
How the University Portal Inspired Changes in the Academic Assessment Culture. - Malena I. Español, Mirjeta Pasha:
An 𝓁p Variable Projection Method for Large-Scale Separable Nonlinear Inverse Problems. - Kaustubh Shivdikar:
SMASH: Sparse Matrix Atomic Scratchpad Hashing. - Bing Zhang, Tevfik Kosar:
SMURF: Efficient and Scalable Metadata Access for Distributed Applications. - Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing. - Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho:
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms. - Karen Montano-Martinez, Sushrut Thakar, Shanshan Ma, Zahra Soltani, Vijay Vittal, Mojdeh Khorsand, Raja Ayyanar, Cynthia Rojas:
Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data. - Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim:
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. - Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
Rejection sampling from shape-constrained distributions in sublinear time. - Zeming Chen, Qiyue Gao, Lawrence S. Moss:
NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning. - Jeremiah Blocki, Peiyuan Liu:
Towards a Rigorous Statistical Analysis of Empirical Password Datasets. - Weishen Pan, Changshui Zhang:
The Definitions of Interpretability and Learning of Interpretable Models. - Suyun Liu, Luís Nunes Vicente:
A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering. - Aditya Jonnalagadda, William Wang, Miguel P. Eckstein:
FoveaTer: Foveated Transformer for Image Classification. - Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. - Deng-Ming Xu, Chen Meng, Gang Wang, Fang-Wei Fu:
The Jacobi sums over Galois rings of arbitrary characters and their applications in constructing asymptotically optimal codebooks. - Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin:
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation. - Matias Scharager, Katherine Cordwell, Stefan Mitsch, André Platzer:
Verified Quadratic Virtual Substitution for Real Arithmetic. - John Brennan Peace, Eric Psota, Yanfeng Liu, Lance C. Pérez:
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers. - Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen:
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions. - Florentin Smarandache:
Improved, Extended, and Total Impact Factor of a Journal. - Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Fan Wu, Lvyin Niu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu:
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. - Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. - Rakhmatulin Ildar:
RaspberryPI for mosquito neutralization by power laser. - Thomas Haugland Johansen, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen:
Instance Segmentation of Microscopic Foraminifera. - Nada Ibrahim, Preeti Maurya, Omid Jafari, Parth Nagarkar:
A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems. - Qi Zheng:
Classifying States of Cooking Objects Using Convolutional Neural Network. - Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang:
Automated Timeline Length Selection for Flexible Timeline Summarization. - Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. - Zhifeng Kong, Kamalika Chaudhuri:
Understanding Instance-based Interpretability of Variational Auto-Encoders. - Takuma Udagawa, Akiko Aizawa:
Maintaining Common Ground in Dynamic Environments. - Kevin Parnow, Zuchao Li, Hai Zhao:
Grammatical Error Correction as GAN-like Sequence Labeling. - Fang Ma, Chen Zhang, Dawei Song:
Exploiting Position Bias for Robust Aspect Sentiment Classification. - Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. - Danny A. J. Gomez-Ramirez, Egil Nordqvist:
Towards a General Many-Sorted Framework for Describing Certain Kinds of Legal Statutes with a Potential Computational Realization. - Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe:
Predictive Representation Learning for Language Modeling. - Akira Furui, Kosuke Nakagaki, Toshio Tsuji:
Biomimetic Control of Myoelectric Prosthetic Hand Based on a Lambda-type Muscle Model. - Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian:
A Federated Learning Framework for Nonconvex-PL Minimax Problems. - Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less is More: Pay Less Attention in Vision Transformers. - Fei Ye, Shen Zhang, Pin Wang, Ching-Yao Chan:
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles. - Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Abdulrahman Algunayah, Jorge Martín-Pérez, Luigi Girletti, Rajasekar Mohan, K. Venkat Ramnan, Boris Bellalta:
Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs. - Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq, Kazi Sajeed Mehrab, Md. Mahim Anjum Haque, Tahmid Hasan, Wasi Uddin Ahmad, Anindya Iqbal, Rifat Shahriyar:
CoDesc: A Large Code-Description Parallel Dataset. - Francesc Wilhelmi, Lorenza Giupponi:
On the Performance of Blockchain-enabled RAN-as-a-service in Beyond 5G Networks. - César Soto-Valero, Thomas Durieux, Benoit Baudry:
A Longitudinal Analysis of Bloated Java Dependencies. - Huanmin Ge, Peng Li:
The Dantzig selector: Recovery of Signal via 𝓁1-α𝓁2 Minimization. - Heyi Li, Jinlong Liu, Yunzhi Bai, Huayan Wang, Klaus Mueller:
Transforming the Latent Space of StyleGAN for Real Face Editing. - Juan Augusto Paredes, Prashin Sharma, Brian Ha, Manuel Lanchares, Ella M. Atkins, Peter Gaskell, Ilya V. Kolmanovsky:
Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems. - Ana Carolina Candido de Melo, Roberta Fagundes, Valentina Lenarduzzi, Williams Santos:
Identification and Measurement of Technical Debt Requirements in Software Development: a Systematic Literature Review. - P. Ashokkumar, M. Sathish Aravindh, A. Venkatesan, M. Lakshmanan:
Realization of all logic gates and memory latch in the SC-CNN cell of the simple nonlinear MLC circuit. - Ori Sztyglic, Andrey Zhitnikov, Vadim Indelman:
Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency. - Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang:
Analysis and Applications of Class-wise Robustness in Adversarial Training. - Linzi Xing, Wen Xiao, Giuseppe Carenini:
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. - Tae-Hwan Jung:
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. - Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo:
Learning Graphon Autoencoders for Generative Graph Modeling. - Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna, Harry Zhang, Ken Goldberg:
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms. - Christel Baier, Norine Coenen, Bernd Finkbeiner, Florian Funke, Simon Jantsch, Julian Siber:
Causality-Based Game Solving. - Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler:
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. - Lin Ma, Jinyan Xu, Jiadong Sun, Yajin Zhou, Xun Xie, Wenbo Shen, Rui Chang, Kui Ren:
Revisiting Challenges for Selective Data Protection of Real Applications. - Likang Yin, Zhuangzhi Chen, Qi Xuan, Vladimir Filkov:
Sustainability Forecasting for Apache Incubator Projects. - Hengrong Lan, Juze Zhang, Changchun Yang, Fei Gao:
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network. - Ziyaur Rahman, Tejas Nimish Shah, Syed Mohammad Zafaruddin, Vinod Kumar Chaubey:
Performance of Dual-Hop Relaying for OWC System Over Foggy Channel with Pointing Errors and Atmospheric Turbulence. - Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou:
Representation Learning in Continuous-Time Score-Based Generative Models. - Mingfu Xue, Yinghao Wu, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu:
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations. - Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang:
Understanding Bandits with Graph Feedback. - Dieter Spreen, Ulrich Berger:
Computing with Infinite Objects: the Gray Code Case. - Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. - Shiva Raj Pokhrel, Anwar Walid:
Learning to Harness Bandwidth with Multipath Congestion Control and Scheduling. - Muhui Jiang, Tianyi Xu, Yajin Zhou, Yufeng Hu, Ming Zhong, Lei Wu, Xiapu Luo, Kui Ren:
Examiner: Automatically Locating Inconsistent Instructions Between Real Devices and CPU Emulators for ARM. - Dojun Park, Youngjin Jang, Harksoo Kim:
Korean-English Machine Translation with Multiple Tokenization Strategy. - Aleksei Tiulpin, Matthew B. Blaschko:
Greedy Bayesian Posterior Approximation with Deep Ensembles. - Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy:
Correcting public opinion trends through Bayesian data assimilation. - Dojun Park, Youngjin Jang, Harksoo Kim:
Grammar Accuracy Evaluation (GAE): Quantifiable Intrinsic Evaluation of Machine Translation Models. - Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. - Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl:
Hashing-Accelerated Graph Neural Networks for Link Prediction. - Amit Saha, Debasri Saha, Amlan Chakrabarti:
Circuit Design for k-coloring Problem and Its Implementation in Any Dimensional Quantum System. - Jianzheng Wang, Guoqiang Hu:
Social Cost Optimization for Prosumer Community with Two Price-Package Incentives in Two-Settlement Based Electricity Market. - Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. - Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He:
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview. - Muhui Jiang, Lin Ma, Yajin Zhou, Qiang Liu, Cen Zhang, Zhi Wang, Xiapu Luo, Lei Wu, Kui Ren:
ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels. - Dingding Wang, Muhui Jiang, Rui Chang, Yajin Zhou, Baolei Hou, Xiapu Luo, Lei Wu, Kui Ren:
A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices. - Jeffrey S. Ovall, Robyn Reid:
An algorithm for identifying eigenvectors exhibiting strong spatial localization. - Zujie Liang, Haifeng Hu, Jiaying Zhu:
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering. - Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao:
Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation. - Tonan Kamata, Akira Kadoguchi, Takashi Horiyama, Ryuhei Uehara:
Efficient Folding Algorithms for Regular Polyhedra. - Neha Makhija, Wolfgang Gatterbauer:
Towards a Dichotomy for Minimally Factorizing the Provenance of Self-Join Free Conjunctive Queries. - Chao Feng:
A Simple Voting Mechanism for Online Sexist Content Identification. - Qiuye Wang, Mingshuai Chen, Bai Xue, Naijun Zhan, Joost-Pieter Katoen:
Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming. - Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. - Yuanpeng Liu, Qinglei Hui, Zhiyi Peng, Shaolin Gong, Dexing Kong:
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks. - Wei-Jan Ko, Hui-Yu Huang, Yu-Liang Kuo, Chen-Yi Chiu, Li-Heng Wang, Wei-Chen Chiu:
RPG: Learning Recursive Point Cloud Generation. - Shriya T. P. Gupta, Basabdatta Sen Bhattacharya:
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. - Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li:
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification. - Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, Verena Wolf:
GINA: Neural Relational Inference From Independent Snapshots. - Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona:
Foveal-pit inspired filtering of DVS spike response. - Yaniv Agman, Danny Hendler:
BPFroid: Robust Real Time Android Malware Detection Framework. - Peratham Wiriyathammabhum:
Is Sluice Resolution really just Question Answering? - Tainã Coleman, Henri Casanova, Loïc Pottier, Manav Kaushik, Ewa Deelman, Rafael Ferreira da Silva:
WfCommons: A Framework for Enabling Scientific Workflow Research and Development. - Vincenzo Gulizzi, Ann S. Almgren, John B. Bell:
A coupled discontinuous Galerkin-Finite Volume framework for solving gas dynamics over embedded geometries. - Jhacson Meza, Sonia H. Contreras Ortiz, Lenny A. Romero, Andrés G. Marrugo:
Three-dimensional multimodal medical imaging system based on free-hand ultrasound and structured light. - Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. - Alberto Garcia-Robledo, Mahboobeh Zangiabady:
Dash Sylvereye: A WebGL-powered Library for Dashboard-driven Visualization of Large Street Networks. - Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan:
On the Theory of Reinforcement Learning with Once-per-Episode Feedback. - Corinna Coupette, Jilles Vreeken:
Graph Similarity Description: How Are These Graphs Similar? - Bing Chen, Mazharul Islam, Lin Wang, Jisuo Gao, Jeff Orchard:
Deconvolutional Density Network: Free-Form Conditional Density Estimation. - Stefan Borgwardt, Walter Forkel, Alisa Kovtunova:
Temporal Minimal-World Semantics for Sparse ABoxes. - Yongqiang Deng, Dengjiang Wang, Gang Cao, Bing Ma, Xijia Guan, Yajun Wang, Jianchao Liu, Yanming Fang, Juanjuan Li:
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China. - Bahare Salmani, Joost-Pieter Katoen:
Fine-Tuning the Odds in Bayesian Networks. - Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino:
Sentiment analysis in tweets: an assessment study from classical to modern text representation models. - Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. - Derya Malak, Faruk V. Mutlu, Jinkun Zhang, Edmund M. Yeh:
Transmission Delay Minimization via Joint Power Control and Caching in Wireless HetNets. - Gaurav Parthasarathy, Peter Müller, Alexander J. Summers:
Formally Validating a Practical Verification Condition Generator (extended version). - Aman Bhargava, Mohammad R. Rezaei, Milad Lankarany:
Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning. - Narges Ahani, Paul Gölz, Ariel D. Procaccia, Alexander Teytelboym, Andrew C. Trapp:
Dynamic Placement in Refugee Resettlement. - Bowen Wen, Chaitanya Mitash, Kostas E. Bekris:
Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains. - Carlos Magno C. O. Valle, Sami Haddadin:
SyReNets: Symbolic Residual Neural Networks. - Fangyu Liu, Ivan Vulic, Anna Korhonen, Nigel Collier:
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking. - David L. Macêdo, Teresa Bernarda Ludermir:
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. - Lucius T. Schoenbaum:
A Tapered Floating Point Extension for the Redundant Signed Radix 2 System Using the Canonical Recoding. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. - Yinxin Wan, Kuai Xu, Feng Wang, Guoliang Xue:
IoTAthena: Unveiling IoT Device Activities from Network Traffic. - Lei Li, Lin Liu, Yuzhou Peng:
A splitting Hamiltonian Monte Carlo method for efficient sampling. - Qian Chen, Zilong Wang, Xiaodong Lin:
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks. - Juntao Huang, Yingda Cheng, Andrew J. Christlieb, Luke F. Roberts, Wen-An Yong:
Machine learning moment closure models for the radiative transfer equation II: enforcing global hyperbolicity in gradient based closures. - Hanif Heidari, Andrei Velichko:
An improved LogNNet classifier for IoT application. - Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. - Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright:
Overparameterization of deep ResNet: zero loss and mean-field analysis. - Dibyendu Adak, Gianmarco Manzini, Sundararajan Natarajan:
Virtual element approximation of two-dimensional parabolic variational inequalities. - (Withdrawn) VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation.
- Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song:
Periodic-GP: Learning Periodic World with Gaussian Process Bandits. - Ryoma Sato:
Enumerating Fair Packages for Group Recommendations. - Yihua Cheng, Feng Lu:
Gaze Estimation using Transformer. - Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh:
ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX. - Salil P. Vadhan, Tianhao Wang:
Concurrent Composition of Differential Privacy. - (Withdrawn) DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation.
- Yuhao Guo, Xin Jiang, Yunhui Liu:
Deformation Control of a Deformable Object Based on Visual and Tactile Feedback. - Jianning Wu, Zhuqing Jiang, Shiping Wen, Aidong Men, Haiying Wang:
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing. - Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason:
Contact Mode Guided Motion Planning for Dexterous Manipulation. - Shengcai Liao, Ling Shao:
Transformer-Based Deep Image Matching for Generalizable Person Re-identification. - Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Convergence of Datalog over (Pre-) Semirings. - Cody Karcher:
Logspace Sequential Quadratic Programming for Design Optimization. - Rui Wang, Chundong Wang, Chongnan Ye:
Reuse Distance-based Copy-backs of Clean Cache Lines to Lower-level Caches. - Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu:
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. - Shuhe Wang, Yuxian Meng, Xiaofei Sun, Fei Wu, Rongbin Ouyang, Rui Yan, Tianwei Zhang, Jiwei Li:
Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation. - Hu Zhang, Keke Zu, Jian Lu, Yuru Zou, Deyu Meng:
EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network. - Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You:
Maximizing Parallelism in Distributed Training for Huge Neural Networks. - Xinghan Liu, Emiliano Lorini:
A logic for binary classifiers and their explanation. - Sungdong Kim, Minsuk Chang, Sang-Woo Lee:
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation. - Nathan F. Lepora:
Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review. - David Chuan-En Lin, Nikolas Martelaro:
Learning Personal Style from Few Examples. - Aipeng Sun, Zekun Zhu, Shunchuan Yang:
A Hybrid SIE-PDE Formulation Without Boundary Condition Requirement for Electromagnetic Analysis. - Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. - Batya Kenig:
Approximate Implication with d-Separation. - Joseph Chataignon, Stefano Rini:
Comparison-limited Vector Quantization. - Gowdham Prabhakar, Pradipta Biswas:
A Brief Survey on Interactive Automotive UI. - Ruyi Ji, Jingtao Xia, Yingfei Xiong, Zhenjiang Hu:
Occam Learning Meets Synthesis Through Unification. - (Withdrawn) Internet of Everything Driven Neuromarketing: Key Technologies and Challenges.
- Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee:
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. - Isabelle Augenstein:
Determining the Credibility of Science Communication. - Huiling Qin, Xianyuan Zhan, Yu Zheng:
CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System. - Yuqing Song, Shizhe Chen, Qin Jin:
Towards Diverse Paragraph Captioning for Untrimmed Videos. - Yian Li, Hai Zhao:
Pre-training Universal Language Representation. - Luciano Lopez, Sabrina Francesca Pellegrino:
Computation of Eigenvalues for Nonlocal Models by Spectral Methods. - Jiancheng An, Chao Xu, Li Wang, Yusha Liu, Lu Gan, Lajos Hanzo:
Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications. - Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. - Jun Gao, Wei Bi, Ruifeng Xu, Shuming Shi:
REAM#: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. - Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu:
Hop-Aware Dimension Optimization for Graph Neural Networks. - Shaked Brody, Uri Alon, Eran Yahav:
How Attentive are Graph Attention Networks? - Nuri Korkan, Tamer Ölmez, Zümray Dokur:
Generating Ten BCI Commands Using Four Simple Motor Imageries. - Matteo Rubagotti, Inara Tusseyeva, Sara Baltabayeva, Danna Summers, Anara Sandygulova:
Perceived Safety in Physical Human Robot Interaction - A Survey. - Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You:
2.5-dimensional distributed model training. - Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Structured Sentiment Analysis as Dependency Graph Parsing. - Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao:
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. - Mahdi Chehimi, Walid Saad:
Entanglement Rate Optimization in Heterogeneous Quantum Communication Networks. - Angela Aguglia, Michela Ceria, Luca Giuzzi:
Secret sharing schemes from hypersurfaces over finite fields. - Mishel Jain, Priyanka Singh, Balasubramanian Raman:
SHELBRS: Location Based Recommendation Services using Switchable Homomorphic Encryption. - Qi Lu, Chuyang Ye:
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts. - Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L. Dahl, Émilie Pagé-Perron:
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages. - Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. - Xiongshi Deng, Min Li, Lei Wang, Qikang Wan:
RFCBF: enhance the performance and stability of Fast Correlation-Based Filter. - Jianfeng Li, Junqiao Zhao, Shuangfu Song, Tiantian Feng:
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video. - Zhipeng Dong, Yi Gao, Yunhui Yan, Fei Chen:
Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild. - Nikhil Iyer, V. Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
LRTuner: A Learning Rate Tuner for Deep Neural Networks. - Denis Roio, Alberto Ibrisevic, Andrea D'Intino:
Reflow: Zero Knowledge Multi Party Signatures with Application to Distributed Authentication. - Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li:
Fast Nearest Neighbor Machine Translation. - Changjian Shui, Boyu Wang, Christian Gagné:
On the benefits of representation regularization in invariance based domain generalization. - Jae H. Lee, Boyce E. Griffith:
On the Lagrangian-Eulerian Coupling in the Immersed Finite Element/Difference Method. - Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring:
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". - Tashnim Chowdhury, Maryam Rahnemoonfar:
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. - Chen He, Xie Xie, Kun Yang, Z. Jane Wang:
A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System. - Pablo R. Baldivieso Monasterios, Nandor Verba, Euan A. Morris, Thomas Morstyn, George C. Konstantopoulos, Elena I. Gaura, Stephen D. J. McArthur:
Incorporating forecasting and peer-to-peer negotiation frameworks into a distributed model predictive control approach for meshed electric networks. - Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or:
Z2P: Instant Rendering of Point Clouds. - Wei Sun, Xiongkuo Min, Guangtao Zhai, Siwei Ma:
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training. - Rongzhou Bao, Jiayi Wang, Hai Zhao:
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice. - Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang:
Diversifying Dialog Generation via Adaptive Label Smoothing. - Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang:
Robust Dynamic Network Embedding via Ensembles. - Jae Oh Woo:
BABA: Beta Approximation for Bayesian Active Learning. - Ramy Maarouf, Danish Sattar, Ashraf Matrawy:
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks. - Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu, Yang Liu:
SPI: Automated Identification of Security Patches via Commits. - Hao Cheng, Ping Wang, Chun Qi:
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval. - Ronald D. R. Pereira, Fabricio Murai:
How effective are Graph Neural Networks in Fraud Detection for Network Data? - Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk:
Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. - Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu:
Embedding Principle of Loss Landscape of Deep Neural Networks. - Yingying Deng, Fan Tang, Xingjia Pan, Weiming Dong, Chongyang Ma, Changsheng Xu:
StyTr^2: Unbiased Image Style Transfer with Transformers. - Paolo Baldan, Francesco Ranzato, Linpeng Zhang:
A Rice's Theorem for Abstract Semantics. - Francisco Gutierrez-Garcia, Ángel Arcos-Vargas, Antonio Gómez Expósito:
Robustness of electricity systems with nearly 100% share of renewables: a worst-case study. - Jürgen Groß:
A Note On The Randomized Kaczmarz Method With A Partially Weighted Selection Step. - Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Polygonal Point Set Tracking. - Franziska Scherpinski, Stefan Lessmann:
Personalization in E-Grocery: Top-N versus Top-k Rankings. - Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar:
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. - Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung:
On the geometry of generalization and memorization in deep neural networks. - Adnan Akhunzada, Sherali Zeadally, Saif ul Islam:
Power and Performance Efficient SDN-Enabled Fog Architecture. - Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Differential Dynamic Programming using Discrete Barrier States. - Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. - Andrew Nader, Danielle Azar:
Evolution of Activation Functions: An Empirical Investigation. - Mohammad Reza Jafari Harandi:
On the Controllers Based on Time Delay Estimation for Robotic Manipulators. - Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
FED-χ2: Privacy Preserving Federated Correlation Test. - Noel Warford, Collins W. Munyendo, Ashna Mediratta, Adam J. Aviv, Michelle L. Mazurek:
Strategies and Perceived Risks of Sending Sensitive Documents. - Yicong He, George K. Atia:
Non-local Patch-based Low-rank Tensor Ring Completion for Visual Data. - Giulio Romualdi, Stefano Dafarra, Daniele Pucci:
Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control. - Thomas Bartz-Beielstein:
Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT. - Li Chen, Richard Peng, Di Wang:
𝓁2-norm Flow Diffusion in Near-Linear Time. - Zhichao Peng, Min Wang, Fengyan Li:
A learning-based projection method for model order reduction of transport problems. - Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. - Parisa Kaghazgaran, Nichola Lubold, Fred Morstatter:
Organizational Artifacts of Code Development. - Samuel von Baußnern, Johannes S. Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann:
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. - Kiran Lekkala, Laurent Itti:
Shaped Policy Search for Evolutionary Strategies using Waypoints. - Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran:
On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel. - Cristian Rusu:
An iterative Jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs. - Florian Jaeckle, M. Pawan Kumar:
Generating Adversarial Examples with Graph Neural Networks. - Jesse Geneson:
Sharper bounds for online learning of smooth functions of a single variable. - Kawin Ethayarajh, Dan Jurafsky:
Attention Flows are Shapley Value Explanations. - Zhuoran Qiao, Anders S. Christensen, Frederick R. Manby, Matthew Welborn, Anima Anandkumar, Thomas F. Miller III:
UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry. - Shobhit Gupta, Marcello Canova:
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity. - Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor:
Federated Learning for Industrial Internet of Things in Future Industries. - Lu Ma, Song Yang, Yaguang Gong, Xintian Wang, Zhongqin Wu:
EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation. - Lang Yu, Allyson Ettinger:
On the Interplay Between Fine-tuning and Composition in Transformers. - Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. - Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. - Huanle Zhang, Jeonghoon Kim:
Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things. - Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama:
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? - Biswadeep Chakraborty, Saibal Mukhopadhyay:
Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. - Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. - Wei Sun, Franklin Mingzhe Li, Congshu Huang, Zhenyu Lei, Benjamin Steeper, Songyun Tao, Feng Tian, Cheng Zhang:
ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing. - Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. - Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong:
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration. - Peng Xu, Xiatian Zhu:
Long-term Person Re-identification: A Benchmark. - Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. - Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. - Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. - Jing An, Lexing Ying:
Combining resampling and reweighting for faithful stochastic optimization. - Takuto Odagawa, Koji Nuida:
Halt Properties and Complexity Evaluations for Optimal DeepLLL Algorithm Families. - Emre Yolcu, Scott Aaronson, Marijn J. H. Heule:
An Automated Approach to the Collatz Conjecture. - B. V. Rathish Kumar, Meena Pargaei, Luca F. Pavarino, Simone Scacchi:
Myocardial ischemic effects on cardiac electro-mechanical activity. - Zsolt Zombori, Josef Urban, Miroslav Olsák:
The Role of Entropy in Guiding a Connection Prover. - Felipe S. Abrahão, Hector Zenil:
Emergence and algorithmic information dynamics of systems and observers. - Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor:
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels. - Jafar Abbaszadeh Chekan, Kamyar Azizzadenesheli, Cedric Langbort:
Joint Stabilization and Regret Minimization through Switching in Systems with Actuator Redundancy. - Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag:
Robustifying 𝓁∞ Adversarial Training to the Union of Perturbation Models. - Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji:
1×N Block Pattern for Network Sparsity. - Haizheng Zhang, Ravi Seshadri, A. Arun Prakash, Constantinos Antoniou, Francisco C. Pereira, Moshe E. Ben-Akiva:
Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment. - Lu Ma, Xintian Wang, Song Yang, Yaguang Gong, Zhongqin Wu:
Multi-Scale Temporal Convolution Network for Classroom Voice Detection. - Lu Ma, Song Yang, Yaguang Gong, Zhongqin Wu:
Noise Classification Aided Attention-Based Neural Network for Monaural Speech Enhancement. - Jialin Hong, Baohui Hou, Liying Sun:
Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise. - Ziwen He, Wei Wang, Jing Dong, Tieniu Tan:
Transferable Sparse Adversarial Attack. - Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich:
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems. - Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. - Mingyuan Mao, Renrui Zhang, Honghui Zheng, Peng Gao, Teli Ma, Yan Peng, Errui Ding, Shumin Han:
Dual-stream Network for Visual Recognition. - Jin-Hwa Kim, Do-Hyeong Kim, Saehoon Yi, Taehoon Lee:
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation. - Jichao Zhang, Aliaksandr Siarohin, Hao Tang, Jingjing Chen, Enver Sangineto, Wei Wang, Nicu Sebe:
Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization. - Mireille el Assal, Pierre Tirilly, Ioan Marius Bilasco:
A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP. - Vipin Chandra Pandey, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Rayees Ahmad Thokar:
An Adaptive Demand Response Framework using Price Elasticity Model in Distribution Networks: A Case Study. - Supratik Chakraborty, Ashutosh Gupta, Divyesh Unadkat:
Diffy: Inductive Reasoning of Array Programs using Difference Invariants. - Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang:
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning. - Amélie Gruel, Jean Martinet:
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification. - Eitan Goldberg, Chong Shangguan, Itzhak Tamo:
List-decoding and list-recovery of Reed-Solomon codes beyond the Johnson radius for any rate. - Dong An, Di Fang, Lin Lin:
Parallel transport dynamics for mixed quantum states with applications to time-dependent density functional theory. - MaungMaung AprilPyone, Hitoshi Kiya:
A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access. - Yun Wan, Feng Xiao, Bintong Chen, Lu Li:
The x-index: A new citation-distance-based index to measure academic influence. - Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo:
G-Transformer for Document-level Machine Translation. - Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li:
Emotional Voice Conversion: Theory, Databases and ESD. - Tomohiro Motoda, Damien Petit, Weiwei Wan, Kensuke Harada:
Bimanual Shelf Picking Planner Based on Collapse Prediction. - Zhiqing Luo, Wei Wang, Qianyi Huang, Tao Jiang, Qian Zhang:
Securing IoT Devices by Exploiting Backscatter Propagation Signatures. - Petar Maksimovic, José Fragoso Santos, Sacha-Élie Ayoun, Philippa Gardner:
Gillian: A Multi-Language Platform for Unified Symbolic Analysis. - Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. - Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. - Erfan Ghadery, Damien Sileo, Marie-Francine Moens:
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features. - Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. - Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali, Ahmed Ali:
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR. - Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. - Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang:
A Semantic-based Method for Unsupervised Commonsense Question Answering. - Peter B. Rønne, Peter Y. A. Ryan, Marie-Laure Zollinger:
Electryo, In-person Voting with Transparent Voter Verifiability and Eligibility Verifiability. - Siyu Zhang, Hui Cao, Yuqi Liu, Shen Cai, Yanting Zhang, Yuanzhan Li, Xiaoyu Chi:
SN-Graph: a Minimalist 3D Object Representation for Classification. - Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Adversarial Training with Rectified Rejection. - Seo-Hyun Lee, Young Eun Lee, Seong-Whan Lee:
Voice of Your Brain: Cognitive Representations of Imagined Speech, Overt Speech, and Speech Perception Based on EEG. - Mehdi Bonyani, Mina Rahmanian, Simindokht Jahangard:
Predicting Driver Intention Using Deep Neural Network. - Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang:
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. - Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. - Raqeeb Rasheed:
Resultant-based Elimination in Ore Algebra. - Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang:
On Compositional Generalization of Neural Machine Translation. - Rosni K. Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha:
Gradient-based Data Subversion Attack Against Binary Classifiers. - Jingbo Wang, Sijie Yan, Bo Dai, Dahua Lin:
Scene-aware Generative Network for Human Motion Synthesis. - Hariprasad M., Murugesan Venkatapathi:
Circulant decomposition of a matrix and the eigenvalues of Toeplitz type matrices. - Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu:
Transfer Learning for Sequence Generation: from Single-source to Multi-source. - Koya Sakakibara, Yusaku Shimoji, Shigetoshi Yazaki:
A simple numerical method for Hele-Shaw type problems by the method of fundamental solutions. - Chong Li, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang:
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. - Thiemo Wambsganss, Christina Niklaus, Matthias Söllner, Siegfried Handschuh, Jan Marco Leimeister:
Supporting Cognitive and Emotional Empathic Writing of Students. - Yasin Kumru, Hayrettin Köymen:
Ultrasonic Array Characterization in Multiscattering and Attenuating Media Using Pin Targets. - Chee Hung Koo, Stefan Rothbauer, Marian Vorderer, Kai Höfig, Marc Zeller:
SQUADfps: Integrated Model-Based Machine Safety and Product Quality for Flexible Production Systems. - Yacov Manevich, Artem Barger, Gal Assa:
Redacting Transactions fromExecute-Order-Validate Blockchains. - Pierre Blanchart:
An exact counterfactual-example-based approach to tree-ensemble models interpretability. - Hiroshi Noji, Yohei Oseki:
Effective Batching for Recurrent Neural Network Grammars. - Thomas Baumhauer, Djordje Slijepcevic, Matthias Zeppelzauer:
Bounded logit attention: Learning to explain image classifiers. - Stephen James, Andrew J. Davison:
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation. - Zhiguo Ding, H. Vincent Poor:
Advantages of NOMA for Multi-User BackCom Networks. - Chennakesava Kadapa:
Insights into the performance of loosely-coupled FSI schemes based on Robin boundary conditions. - Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella:
Towards Lower Bounds on the Depth of ReLU Neural Networks. - Luca Bedogni, Giacomo Cabri, Riccardo Martoglia, Francesco Poggi:
Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences. - David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. - Tesla Zhang:
Elegant elaboration with function invocation. - Christian Rathgeb, Pawel Drozdowski, Naser Damer, Dinusha C. Frings, Christoph Busch:
Demographic Fairness in Biometric Systems: What do the Experts say? - Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues:
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. - Albert Zeyer, Ralf Schlüter, Hermann Ney:
Why does CTC result in peaky behavior? - Lin Zheng, Zhiyong Wu, Lingpeng Kong:
Cascaded Head-colliding Attention. - Harim Jung, Myeong-Seok Oh, Seong-Whan Lee:
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images. - Samarth Sinha, Adji B. Dieng:
Consistency Regularization for Variational Auto-Encoders. - Sebastian Maneth, Helmut Seidl, Martin Vu:
Definability Results for Top-Down Tree Transducers. - Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner:
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs. - Martin R. Albrecht, Jorge Blasco, Rikke Bjerg Jensen, Lenka Mareková:
Collective Information Security in Large-Scale Urban Protests: the Case of Hong Kong. - Zhou Yang, Muhammad Hilmi Asyrofi, David Lo:
BiasRV: Uncovering Biased Sentiment Predictions at Runtime. - Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, Jakaria Rabbi, Md. Kamrul Hasan, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, Md. Akil Raihan Iftee:
Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods. - Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik:
Fast, Accurate and Interpretable Time Series Classification Through Randomization. - Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference. - Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual. - Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. - Gaochen Wu, Bin Xu, Dejie Chang, Bangchang Liu:
A Multilingual Modeling Method for Span-Extraction Reading Comprehension. - Muhammad Hilmi Asyrofi, Zhou Yang, David Lo:
CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition. - Hans L. Bodlaender, Carla Groenland, Jesper Nederlof, Céline M. F. Swennenhuis:
Parameterized Problems Complete for Nondeterministic FPT time and Logarithmic Space. - Nicolas Boullé, Patrick E. Farrell, Alberto Paganini:
Control of bifurcation structures using shape optimization. - Yasir Mahmood, Jonni Virtema:
Parameterised Complexity of Propositional Logic in Team Semantics. - Ana-Maria Bucur, Marcos Zampieri, Liviu P. Dinu:
An Exploratory Analysis of the Relation Between Offensive Language and Mental Health. - Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya:
Rawlsian Fair Adaptation of Deep Learning Classifiers. - Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee:
ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection. - Jan Kretínský:
LTL-Constrained Steady-State Policy Synthesis. - Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner:
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. - Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. - Bojan Evkoski, Andraz Pelicon, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak:
Retweet communities reveal the main sources of hate speech. - Paavo Parmas, Masashi Sugiyama:
A unified view of likelihood ratio and reparameterization gradients. - Marie-Laure Zollinger, Verena Distler, Peter B. Rønne, Peter Y. A. Ryan, Carine Lallemand, Vincent Koenig:
User Experience Design for E-Voting: How mental models align with security mechanisms. - Pawel Gawrychowski, Samah Ghazawi, Gad M. Landau:
Lower Bounds for the Number of Repetitions in 2D Strings. - Giovanni Gabbolini, Derek Bridge:
Generating Interesting Song-to-Song Segues With Dave. - Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi:
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. - Prashanth Ramadoss, Giulio Romualdi, Stefano Dafarra, Francisco Javier Andrade Chavez, Silvio Traversaro, Daniele Pucci:
DILIGENT-KIO: A Proprioceptive Base Estimator for Humanoid Robots using Extended Kalman Filtering on Matrix Lie Groups. - Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier:
SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT. - Marcos Netto, Venkat Krishnan, Yingchen Zhang, Lamine Mili:
Measurement placement in electric power transmission and distribution grids: Review of methods and opportunities. - Sandro M. Reia, José F. Fontanari:
Long-term Scientific Impact Revisited. - Jussi Karlgren:
How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship. - Kamal Z. Zamli, Md. Abdul Kader, Saiful Azad, Bestoun S. Ahmed:
Hybrid Henry Gas Solubility Optimization Algorithm with Dynamic Cluster-to-Algorithm Mapping for Search-based Software Engineering Problems. - Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. - Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles:
Document Domain Randomization for Deep Learning Document Layout Extraction. - Qiumei Cheng, Yi Shen, Dezhang Kong, Chunming Wu:
STEP: Spatial-Temporal Network Security Event Prediction. - Akhilesh S. P. Khope, Anirban Samanta, Xian Xiao, S. J. Ben Yoo, John E. Bowers:
Review Of Integrated Photonic Elastic WDM Switches For Data Centers. - Jean-Philippe Gouigoux, Dalila Tamzalit, Joost Noppen:
Microservice Maturity of Organizations: towards an assessment framework. - Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. - Zae Myung Kim, Laurent Besacier, Vassilina Nikoulina, Didier Schwab:
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? - Steffen Becker, Carina Wiesen, Nils Albartus, Nikol Rummel, Christof Paar:
An Exploratory Study of Hardware Reverse Engineering Technical and Cognitive Processes. - Giang Nguyen, Daeyoung Kim, Anh Nguyen:
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores. - Gonzalo J. Anaya-López, Juan Carlos Ruiz Sicilia, Francisco Javier López-Martínez:
A New Transmit Antenna Selection Technique for Physical Layer Security with Strong Eavesdropping. - Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park:
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations. - Yuan Gan, Yawei Luo, Xin Yu, Bang Zhang, Yi Yang:
VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots. - Massimiliano Luca, Gianni Barlacchi, Nuria Oliver, Bruno Lepri:
Leveraging Mobile Phone Data for Migration Flows. - Viswanathan Ramachandran, Astrid Barreiro, Gabriele Liga, Alex Alvarado:
A Capacity Region Outer Bound for the Two-User Dispersive Nonlinear Fiber Optical Channel. - Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. - Ting Liu, Jungang Yang, Boyang Li, Chao Xiao, Yang Sun, Yingqian Wang, Wei An:
Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection. - Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. - Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie:
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition. - Carsten Carstensen, Stefan A. Sauter:
Critical Functions and Inf-Sup Stability of Crouzeix-Raviart Elements. - Daniel Schneider, Mario Trapp, Yiannis Papadopoulos, Eric Armengaud, Marc Zeller, Kai Höfig:
WAP: Digital Dependability Identities. - Carsten Carstensen, Stefan A. Sauter:
Crouzeix-Raviart triangular elements are inf-sup stable. - Giuseppa Castiglione, Jia Gao, Sabrina Mantaci, Antonio Restivo:
A new distance based on minimal absent words and applications to biological sequences. - Marc Zeller, Kai Höfig:
INSiDER: Incorporation of system and safety analysis models using a dedicated reference model. - Henry Bradler, Adrian Kretz, Rudolf Mester:
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. - Andrey Bokovoy, Kirill Muravyev, Konstantin S. Yakovlev:
MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment. - Shuhao Cao:
Choose a Transformer: Fourier or Galerkin. - Tal Alon, Ron Lavi, Elisheva S. Shamash, Inbal Talgam-Cohen:
Incomplete Information VCG Contracts for Common Agency. - Marc Zeller, Kai Höfig, Jean-Pascal Schwinn:
ArChes - Automatic generation of component fault trees from continuous function charts. - Anamay Chaturvedi, Matthew Jones, Huy L. Nguyen:
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error. - Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. - Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. - Jianhong Wang, Jinxin Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim:
SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning. - Lenny Renault, Andrea Vaglio, Romain Hennequin:
Singing Language Identification using a Deep Phonotactic Approach. - Kai Höfig, Andreas Joanni, Marc Zeller, Francesco Montrone, Martin Rothfelder, Rakshith Amarnath, Peter Munk, Arne Nordmann:
Model-Based Reliability and Safety: Reducing the Complexity of Safety Analyses Using Component Fault Trees. - Giambattista Albora, Luciano Pietronero, Andrea Tacchella, Andrea Zaccaria:
Product Progression: a machine learning approach to forecasting industrial upgrading. - Songlin Yang, Yanpeng Zhao, Kewei Tu:
Neural Bi-Lexicalized PCFG Induction. - Anum Talpur, Mohan Gurusamy:
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks. - Zoltán Zvara, Péter G. N. Szabó, Balázs Barnabás Lóránt, András A. Benczúr:
System-aware dynamic partitioning for batch and streaming workloads. - Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh:
OASIS: An Active Framework for Set Inversion. - Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio:
ArtGraph: Towards an Artistic Knowledge Graph. - Peter A. Gloor, Andrea Fronzetti Colladon, Francesca Grippa, Pascal Budner, Joscha Eirich:
Aristotle Said "Happiness is a State of Activity" - Predicting Mood through Body Sensing with Smartwatches. - Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre:
Digital Contact Tracing for Covid 19. - Alexander Braun, Thomas Kesselheim:
Truthful Mechanisms for Two-Sided Markets via Prophet Inequalities. - Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu:
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction. - Anum Talpur, Mohan Gurusamy:
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey. - Luca Cardelli:
Sequenceable Event Recorders. - Francisco Luis Giambelluca, Marcelo A. Cappelletti, Jorge Rafael Osio, Luis A. Giambelluca:
Scorpion detection and classification systems based on computer vision and deep learning for health security purposes. - Tom Hosking, Mirella Lapata:
Factorising Meaning and Form for Intent-Preserving Paraphrasing. - Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl:
Telling Stories through Multi-User Dialogue by Modeling Character Relations. - Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang:
Dominant Patterns: Critical Features Hidden in Deep Neural Networks. - Eduardo Sebastián, Eduardo Montijano, Carlos Sagüés:
All-in-one: Certifiable Optimal Distributed Kalman Filter under Unknown Correlations. - William Blanzeisky, Pádraig Cunningham:
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning. - Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra:
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. - Alex Nowak-Vila, Alessandro Rudi, Francis R. Bach:
Max-Margin is Dead, Long Live Max-Margin! - Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona T. Diab:
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data. - Vannessa de J. Duarte, Paul Leger, Sergio Contreras, Hiroaki Fukuda:
Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network. - Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang:
Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length. - Xiujun Shu, Xiao Wang, Shiliang Zhang, Xianghao Zhang, Yuanqi Chen, Ge Li, Qi Tian:
Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark. - Fuxiang Tan, Yuting Kong, Yingying Fan, Feng Liu, Daxin Zhou, Hao Zhang, Long Chen, Liang Gao, Yurong Qian:
SDNet: mutil-branch for single image deraining using swin. - Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu:
Can Attention Enable MLPs To Catch Up With CNNs? - Luong Luc Phan, Phuc Huynh Pham, Kim Thi-Thanh Nguyen, Tham Thi Nguyen, Sieu Khai Huynh, Luan Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen:
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence. - Geoffrey G. Messier, Caleb John, Ayush Malik:
Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories. - An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang:
Exploring Sparse Expert Models and Beyond. - Gianira N. Alfarano, Francisco Javier Lobillo, Alessandro Neri, Antonia Wachter-Zeh:
Sum-rank product codes and bounds on the minimum distance. - Eleftheria Briakou, Marine Carpuat:
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation. - Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu:
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. - Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda:
Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents. - Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Maryam Fallahpoor, Chegeni Hossein, Manoranjan Paul:
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring. - Shu Sun, Hangsong Yan:
Small-Scale Spatial-Temporal Correlation Modeling for Reconfigurable Intelligent Surfaces. - Yueyan Chu, Kangyong You, Wenbin Guo:
Multiple Sources Localization with Sparse Recovery under Log-normal Shadow Fading. - Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song:
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT. - Suman Kumar, Kazi Amanul Islam Siddiqui, Mukesh Kumar:
Skin-Health Monitoring system using a Wireless Body Area Network. - Saeed Ghadiri:
Anchor Nodes Positioning for Self-localization in Wireless Sensor Networks using Belief Propagation and Evolutionary Algorithms. - Chathuranga M. Wijerathna Basnayaka, Dushantha Nalin K. Jayakody, Tharindu D. Ponnimbaduge Perera, Moisés Vidal Ribeiro:
Age of Information in an URLLC-enabled Decode-and-Forward Wireless Communication System. - Krishna M. Sivalingam:
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems. - Davide Callegaro, Marco Levorato, Francesco Restuccia:
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. - Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. - Martin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Eddine Difallah:
A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach. - Peter A. Boncz:
An Epidemiological Model for contact tracing with the Dutch CoronaMelder App. - Maria Chionidou-Moskofoglou, Spyridon Doukakis, Amalia Lappa:
The use of e-portfolios in teaching and assessment. - Nasim Sadat Mosavi, Manuel Filipe Santos:
Adoption of Precision Medicine; Limitations and Considerations. - Fatemeh Golpayegani:
Pregnancy loss and unethical algorithms: Ethical issues in targeted advertising. - Michael Cook:
The Social Responsibility of Game AI. - (Withdrawn) Screening of the Characteristics of Hate Crimes against Asian American and Comparison to African Americans in Bay Area.
- Naheed Khan, Darshan Bhanushali, Shreya Patel, Radhika Kotecha:
Strengthening e-Education in India using Machine Learning. - Gabriella Laatikainen, Taija Kolehmainen, Mengcheng Li, Markus Hautala, Antti Kettunen, Pekka Abrahamsson:
Towards a trustful digital world: exploring self-sovereign identity ecosystems. - Patrick O. Glauner:
An Assessment of the AI Regulation Proposed by the European Commission. - Zixin Wen, Yuanzhi Li:
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning. - Sajib Mistry, Athman Bouguettaya:
Reputation Bootstrapping for Composite Services using CP-nets. - Youry Khmelevsky, Ken Chidlow:
Students Programming Competitions as an Educational Tool and a Motivational Incentive to Students. - Alistair P. Barros, Arthur H. M. ter Hofstede, Henderik A. Proper:
Towards an Integrated Conceptual Modelling Kernel for Business Transaction Workflows. - Mohammad Sina Kiarostami:
Comparing Two Different Approaches in Big Data and Business Analysis for Churn Prediction with the Focus on How Apache Spark Employed. - Sabah Al-Fedaghi:
UML Sequence Diagram: An Alternative Model. - Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang:
Adaptive Feature Alignment for Adversarial Training. - Helmut Harbrecht, Michael D. Multerer, Remo von Rickenbach:
Isogeometric shape optimization for scaffold structures. - Zhongzheng Tang, Chenhao Wang, Hau Chan:
On maximizing a monotone k-submodular function under a knapsack constraint. - Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao:
Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms. - Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard:
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. - Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer:
Multimodal Detection of Information Disorder from Social Media. - Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian:
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens. - Wangchunshu Zhou, Qifei Li, Chenle Li:
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. - Petr Kubelík, Vitalii G. Kurbatov, Irina V. Kurbatova:
Calculating a function of a matrix with a real spectrum. - Jiayuan Xiong, Li You, Derrick Wing Kwan Ng, Wenjin Wang, Xiqi Gao:
Energy-Efficient Precoding in Electromagnetic Exposure-Constrained Uplink Multiuser MIMO. - Tianyang Xu, Chunyun Zhang:
Reinforced Generative Adversarial Network for Abstractive Text Summarization. - Nadir Durrani, Hassan Sajjad, Fahim Dalvi:
How transfer learning impacts linguistic knowledge in deep NLP models? - Runshan Fu, Yangfan Liang, Peter Zhang:
Model Mis-specification and Algorithmic Bias. - Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert:
Efficient and Modular Implicit Differentiation. - Vincent Cohen-Addad, Anupam Gupta, Philip N. Klein, Jason Li:
A Quasipolynomial (2+ε)-Approximation for Planar Sparsest Cut. - Arnav Choudhry, Brady G. Moon, Jay Patrikar, Constantine Samaras, Sebastian A. Scherer:
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model. - Siddharth Divi, Habiba Farrukh, Z. Berkay Celik:
Unifying Distillation with Personalization in Federated Learning. - Manh Tuan Hoang:
A novel second-order nonstandard finite difference method for solving one-dimensional autonomous dynamical systems. - Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. - Swapnil Mache, Praveen Kumar Pokala, Kusala Rajendran, Chandra Sekhar Seelamantula:
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model - Application to Seismic Reflectivity Inversion. - Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière:
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. - Falko Baustian, Martin Fencl, Jan Pospisil, Vladimír Svígler:
A note on a PDE approach to option pricing under xVA. - Christian Kehl, Erik van Sebille, Angus Gibson:
Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures. - Michael P. Frank, Karpur Shukla:
Quantum Foundations of Classical Reversible Computing. - Indranil Chowdhury, Olav Ersland, Espen R. Jakobsen:
On Numerical approximations of fractional and nonlocal Mean Field Games. - Samuel J. Raymond, David B. Camarillo:
Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems. - Gianmario Broccia:
Real-Time Detection and Classification of Astronomical Transient Events: The State-of-the-Art. - Mir Lodro, Gabriele Gradoni, Ana Vukovic, David Thomas, Steve Greedy:
PER Measurement of BLE in RF Interference and Harsh Electromagnetic Environment. - Hiroshi Matano, Yoichiro Mori, Mitsunori Nara, Koya Sakakibara:
Asymptotic behavior of fronts and pulses of the bidomain model. - Sagar Shrestha, Xiao Fu, Mingyi Hong:
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models. - Pasin Manurangsi, Warut Suksompong:
Generalized Kings and Single-Elimination Winners in Random Tournaments. - Pablo Juesas Cano, Emmanuel Ramasso, Sébastien Drujont, Vincent Placet:
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics. - Leonardo Rydin Gorjão, Luigi Vanfretti, Dirk Witthaut, Christian Beck, Benjamin Schäfer:
Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid. - Anton I. Glushchenko, Vladislav A. Petrov, Konstantin A. Lastochkin:
Normalization of regressor excitation as a part of dynamic regressor extension and mixing procedure. - Koki Okajima, Yoshiyuki Kabashima:
Matrix completion based on Gaussian belief propagation. - Jun Chen, Guang Yang, Habib Khan, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan:
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets. - Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye:
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. - Luca Varotto, Angelo Cenedese:
Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles. - Gregory Z. Gutin, Anders Yeo:
Perfect Forests in Graphs and Their Extensions. - Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. - Jiaming Xu, Hanjing Zhu:
One-pass Stochastic Gradient Descent in Overparametrized Two-layer Neural Networks. - Kuan Lee, Ann Yang, Yen-Chu Lin, Daniel Reker, Gonçalo J. L. Bernardes, Tiago Rodrigues:
Combating small molecule aggregation with machine learning. - Fabio Hernán Gil Zuluaga, Francesco Bardozzo, Jorge Iván Ríos Patiño, Roberto Tagliaferri:
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network. - Sean K. Moss, Tamara von Glehn:
Dialectica models of type theory. - Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller:
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects. - Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl Henrik Johansson:
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization. - Louis Tan, Kaveh Mahdaviani, Ashish Khisti:
Markov Rewards Processes with Impulse Rewards and Absorbing States. - Moo K. Chung, Hernando C. Ombao:
Topological Data Analysis of COVID-19 Virus Spike Proteins. - Ming Xu, Jingyi Mei, Ji Guan, Nengkun Yu:
Model Checking Quantum Continuous-Time Markov Chains. - Ryu Hasegawa:
Semantic Proof of Confluence of the Categorical Reduction System for Linear Logic. - Dinh Viet Sang, Tran Quang Chung, Phan Ngoc Lan, Dao Viet Hang, Dao Van Long, Nguyen Thi Thuy:
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation. - S. Dzhenzher, Arkadiy Skopenkov:
A structured proof of the Kolmogorov superposition theorem. - Megi Isallari, Islem Rekik:
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivity. - Sarthak Gupta, Vassilis Kekatos, Ming Jin:
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach. - Ilkka Törmä:
Fixed Point Constructions in Tilings and Cellular Automata. - Eric V. Strobl, Thomas A. Lasko:
Synthesized Difference in Differences. - Byungjai Kim, Kinam Kwon, Changheun Oh, HyunWook Park:
Unsupervised Anomaly Detection in MR Images using Multi-Contrast Information. - Adnan Akbar, Andrey Solovyev, John W. Cassidy, Nirmesh Patel, Harry W. Clifford:
DRIVE: Machine Learning to Identify Drivers of Cancer with High-Dimensional Genomic Data & Imputed Labels. - Alessandro De Luca, Marcia Edson, Luca Q. Zamboni:
Extremal values of semi-regular continuants and codings of interval exchange transformations. - Rui Chen, Jared D. Huling, Guanhua Chen, Menggang Yu:
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population. - Emily Lin, Weicheng Kuo, Esther L. Yuh:
Noisy Student learning for cross-institution brain hemorrhage detection. - Mehala Balamurali:
A Bayesian Method for Estimating Uncertainty in Excavated Material. - Atsuya Hasegawa, François Le Gall:
Quantum Advantage with Shallow Circuits under Arbitrary Corruption. - Rafael Cerna-Loli, Onur Dizdar, Bruno Clerckx:
A Rate-Splitting Strategy to Enable Joint Radar Sensing and Communication with Partial CSIT. - Ertugrul Basar, H. Vincent Poor:
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications. - Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv:
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. - Qiutong Guo, Shun Lei, Qing Ye, Zhiyang Fang:
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price. - Ioannis Mandralis, Pascal Weber, Guido Novati, Petros Koumoutsakos:
Learning swimming escape patterns under energy constraints. - Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes:
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories. - Olivier Mesnard, Lorena A. Barba:
[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates. - Gabriel Mittag, Sebastian Möller:
Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks. - Dennis Eschweiler, Johannes Stegmaier:
Robust 3D Cell Segmentation: Extending the View of Cellpose. - Francesco Biscani, Dario Izzo:
Revisiting high-order Taylor methods for astrodynamics and celestial mechanics. - Monika Wolfmayr:
Optimal heating of an indoor swimming pool. - Rui Zhao, Jian Xue, Jinyu Li, Wenning Wei, Lei He, Yifan Gong:
On Addressing Practical Challenges for RNN-Transducer. - Nawaf Bou-Rabee, Andreas Eberle:
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo. - Lucas Chesnel, Jérémy Heleine, Sergei A. Nazarov:
Acoustic passive cloaking using thin outer resonators. - Narayani Bhatia, Devang Mahesh, Jashandeep Singh, Manan Suri:
Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT). - Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf:
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation. - Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. - Jun Li, Zhaocong Wu, Zhongwen Hu, Canliang Jian, Shaojie Luo, Lichao Mou, Xiao Xiang Zhu, Matthieu Molinier:
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features. - Krushi Patel, Andres M. Bur, Guanghui Wang:
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation. - Yueying Ni, Yin Li, Patrick Lachance, Rupert A. C. Croft, Tiziana di Matteo, Simeon Bird, Yu Feng:
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics. - Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi:
Initialization and Regularization of Factorized Neural Layers. - Jonathan F. MacArt, Justin A. Sirignano, Jonathan B. Freund:
Embedded training of neural-network sub-grid-scale turbulence models. - Can Chen:
On the Stability of Multilinear Systems. - Thomas Häner, Damian S. Steiger, Torsten Hoefler, Matthias Troyer:
Distributed Quantum Computing with QMPI. - Alain Hertz, Hadrien Mélot, Sébastien Bonte, Gauvain Devillez, Pierre Hauweele:
Upper bounds on the average number of colors in the non-equivalent colorings of a graph. - Coleman Hooper, Thierry Tambe, Gu-Yeon Wei:
Quantifying and Maximizing the Benefits of Back-End Noise Adaption on Attention-Based Speech Recognition Models. - Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang:
Learning Good State and Action Representations via Tensor Decomposition. - Andre F. Ribeiro, Frank Neffke, Ricardo Hausmann:
What can the millions of random treatments in nonexperimental data reveal about causes? - Akihiko Inoue:
Explicit formulas for the inverses of Toeplitz matrices, with applications. - Ecem Sogancioglu, Keelin Murphy, Ernst Th. Scholten, Luuk H. Boulogne, Mathias Prokop, Bram van Ginneken:
Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning. - Zhengling Qi, Rui Miao, Xiaoke Zhang:
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding. - Anurag Anshu, David Gosset, Karen J. Morenz Korol, Mehdi Soleimanifar:
Improved approximation algorithms for bounded-degree local Hamiltonians. - Md Jubaer Hossain Pantho, Joel Mandebi Mbongue, Pankaj Bhowmik, Christophe Bobda:
Event Camera Simulator Design for Modeling Attention-based Inference Architectures. - Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. - Prosenjit Bose, Vida Dujmovic, Mehrnoosh Javarsineh, Pat Morin, David R. Wood:
Separating layered treewidth and row treewidth. - Joseph Jaeger, Fang Song, Stefano Tessaro:
Quantum Key-length Extension. - Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi:
Regret-Optimal Full-Information Control. - Songyan Xue, Yi Ma, Na Yi:
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels. - Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong:
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. - Anqi Fu, Lei Xing, Stephen Boyd:
Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics. - Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation. - Sergey E. Yunakovsky, Maxim Kot, Nikolay O. Pozhar, Denis Nabokov, Mikhail A. Kudinov, Anton P. Guglya, Evgeniy O. Kiktenko, Ekaterina Kolycheva, Alexander Borisov, Aleksey K. Fedorov:
Towards security recommendations for public-key infrastructures for production environments in the post-quantum era. - Apoorv Kishore, Vivek Saraswat, Udayan Ganguly:
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi. - Jan Goedgebeur, Patric R. J. Östergård:
Switching 3-edge-colorings of cubic graphs. - Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub:
Consensus Dynamics and Opinion Formation on Hypergraphs. - Mattia Bianchi, Wicak Ananduta, Sergio Grammatico:
The distributed dual ascent algorithm is robust to asynchrony. - Arash Dehghani, Seyyed Ali Seyyedsalehi:
Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition. - Lars Jaffke, O-joung Kwon, Jan Arne Telle:
Classes of intersection digraphs with good algorithmic properties. - Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter:
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? - Ozan Alp Topal, Gunes Karabulut-Kurt, Halim Yanikomeroglu:
Securing the Inter-Spacecraft Links: Physical Layer Key Generation from Doppler Frequency Shift. - Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. - Ruslan Sharipov:
Hadamard matrices in {0, 1} presentation and an algorithm for generating them. - Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf:
Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models. - Bin Liu, Grigorios Tsoumakas:
Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. - Martin Miguel, Pablo Riera, Diego Fernández Slezak:
Simple and Cheap Setup for Timing Tapping Responses Synchronized to Auditory Stimuli. - Jennifer Williams, Jason Fong, Erica Cooper, Junichi Yamagishi:
Exploring Disentanglement with Multilingual and Monolingual VQ-VAE. - Du Nguyen:
Riemannian Geometry with differentiable ambient space and metric operator. - Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. - Stephan Wojtowytsch:
Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis. - Andre Luiz Buarque Vieira e Silva, Caio José dos Santos Brito, Francisco Paulo Magalhaes Simões, Veronica Teichrieb:
A fluid simulation system based on the MPS method. - Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier M. Duarte, Cristian Gingu, Philip C. Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, Yingyi Luo, Llovizna Miranda, Jennifer Ngadiuba, Daniel Noonan, Seda Ogrenci-Memik, Maurizio Pierini, Sioni Summers, Nhan Tran:
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC. - Hoang La:
2-distance list (Δ+ 3)-coloring of sparse graphs. - Benjamin Morris, Lukas J. Fiderer, Ben Lang, Daniel Goldwater:
Witnessing Bell violations through probabilistic negativity. - Haoran Sun, Wenqiang Pu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong:
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. - Marc Górriz Blanch, Issa Khalifeh, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-based Stylisation for Exemplar Image Colourisation. - Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong:
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. - Juan B. Cabral, Marcelo Lares, Sebastián Gurovich, D. Minniti, Pablo M. Granitto:
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV. - Alan M. Frieze, Wesley Pegden:
Spanners in randomly weighted graphs: independent edge lengths. - Ulrik Buchholtz, Jonathan Weinberger:
Synthetic fibered (∞, 1)-category theory. - Bart J. A. Mertens:
Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment. - Katerina Antonopoulou, Nicholas Dacre:
Exploring Diffusion Characteristics that Influence Serious Games Adoption Decisions. - Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network. - Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford:
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss. - Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang:
Nonparametric Trace Regression in High Dimensions via Sign Series Representation. - Thomas Glarner, Janek Ebbers, Reinhold Häb-Umbach:
Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery. - Guang Yang, Jun Lv, Yutong Chen, Jiahao Huang, Jin Zhu:
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging - Mini Review, Comparison and Perspectives. - Heide Gluesing-Luerssen, Benjamin Jany:
Independent Spaces of q-Polymatroids. - Teresa Portone, Robert D. Moser:
Bayesian inference of an uncertain generalized diffusion operator. - Joseph J. Kearney, Carlos A. Pérez-Delgado:
Vulnerability of Blockchain Technologies to Quantum Attacks. - Dan A. Bard, Joseph J. Kearney, Carlos A. Pérez-Delgado:
Quantum Advantage on Proof of Work. - Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. - Du Nguyen:
Curvatures of Stiefel manifolds with deformation metrics. - Chi-Shiang Wang, Fang-Yi Su, Tsung-Lu Michael Lee, Yi-Shan Tsai, Jung-Hsien Chiang:
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis. - Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons J. Verbeek, Uulke A. van der Heide, Marius Staring:
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer. - An Liu, Rui Yang, Tony Q. S. Quek, Min-Jian Zhao:
Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling. - Clément L. Canonne, Karl Wimmer:
Identity testing under label mismatch. - Jim de Groot, Tadeusz Litak, Dirk Pattinson:
Gödel-McKinsey-Tarski and Blok-Esakia for Heyting-Lewis Implication. - Mohammad Nabati, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge:
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach. - Aymeric Picard Marchetto, Adrien Richard:
Isomorphic Boolean networks and dense interaction graphs. - Saman Bazarghani, Paz Carmi, Vida Dujmovic, Pat Morin:
2×n Grids have Unbounded Anagram-Free Chromatic Number. - Zhan Zhang, Xi Chen, Yuehai Wang, Jianyi Yang:
Accent Recognition with Hybrid Phonetic Features. - Alexandre Bovet, Hernán A. Makse:
Centralities in complex networks. - Niklas Grieger, Justus T. C. Schwabedal, Stefanie Wendel, Yvonne Ritze, Stephan Bialonski:
Automated scoring of pre-REM sleep in mice with deep learning. - R. S. Prasobh Sankar, Battu Deepak, Sundeep Prabhakar Chepuri:
Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces. - Jalal Fadili, Nicolas Forcadel, Thi-Tuyen Nguyen:
Limits and consistency of non-local and graph approximations to the Eikonal equation. - Ashok Krishnan K. S., Chandramani Singh, Siva Theja Maguluri, Parimal Parag:
Optimal Pricing in Multi Server Systems. - Ramin Ansari, Amirata Ghorbani:
Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions. - Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. - Geoffrey Chinot, Felix Kuchelmeister, Matthias Löffler, Sara A. van de Geer:
AdaBoost and robust one-bit compressed sensing. - Vicky Choi:
Essentiality of the Non-stoquastic Hamiltonians and Driver Graph Design in Quantum Optimization Annealing. - Robert R. Tucci:
Goodness of Causal Fit. - Oliver Y. Feng, Ramji Venkataramanan, Cynthia Rush, Richard J. Samworth:
A unifying tutorial on Approximate Message Passing. - Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab:
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. - Janne Koponen, Timo Lähivaara, Jari P. Kaipio, Marko Vauhkonen:
Model reduction in acoustic inversion by artificial neural network. - Zhishuai Guo, Tianbao Yang:
Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization. - Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster, Peter-Jan H. S. Derks, Paul K. Fährmann, Johannes Jakob Meyer:
Training Quantum Embedding Kernels on Near-Term Quantum Computers. - Dhaval D. Kadia, Md. Zahangir Alom, Ranga Burada, Tam V. Nguyen, Vijayan K. Asari:
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation. - Sergey Bravyi, Ruslan Shaydulin, Shaohan Hu, Dmitri Maslov:
Clifford Circuit Optimization with Templates and Symbolic Pauli Gates. - Floriana Gargiulo, Maria Castaldo, Tommaso Venturini, Paolo Frasca:
A collaborative path to scientific discovery: Distribution of labor, productivity and innovation in collaborative science. - Yijun Zuo:
Non-asymptotic analysis and inference for an outlyingness induced winsorized mean. - Ruohan Zhan, Zhimei Ren, Susan Athey, Zhengyuan Zhou:
Policy Learning with Adaptively Collected Data. - Jasine Babu, Deepu Benson, Deepak Rajendraprasad:
Improved Bounds for the Oriented Radius of Mixed Multigraphs. - Akihiro Higashitani, Naoki Matsumoto:
The ratio of the numbers of odd and even cycles in outerplanar graphs. - Noah Ziems, Shaoen Wu, Jim Norman:
Automated Primary Hyperparathyroidism Screening with Neural Networks. - Zepeng Zhang, Ziping Zhao:
Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach. - Zhi Feng, Guoqiang Hu:
Attack-Resilient Distributed Convex Optimization of Linear Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs. - Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Peng Liu, Zhou Zhao:
DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis. - Krishna Subramani, Paris Smaragdis:
Point Cloud Audio Processing. - Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun:
Estimation and inference of signals via the stochastic geometry of spectrogram level sets. - Erwan Faou, Romain Horsin, Frédéric Rousset:
On Linear Damping Around Inhomogeneous Stationary States of the Vlasov-HMF Model. - Boxin Zhao, Shengjun Zhai, Y. Samuel Wang, Mladen Kolar:
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach. - Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust control of partially observable jump linear systems. - Maxime Lenormand, Horacio Samaniego:
Uncovering the socioeconomic structure of spatial and social interactions in cities. - Alexis Bellot, Kim Branson, Mihaela van der Schaar:
Consistency of mechanistic causal discovery in continuous-time using Neural ODEs. - Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, Maria Evelina Fantacci, Silvia Figini, Alessandro Lascialfari, Francesco Laruina, Piernicola Oliva, Stefano Piffer, Ian Postuma, Lisa Rinaldi, Cinzia Talamonti, Alessandra Retico:
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria. - Marzieh Eidi, Jürgen Jost:
Floer Homology: From Generalized Morse-Smale Dynamical Systems to Forman's Combinatorial Vector Fields. - Qingfeng Liu, Yang Feng:
Machine Collaboration. - Thomas Louf, David Sánchez, José J. Ramasco:
Capturing the diversity of multilingual societies. - Lukas Harsch, Stefan Riedelbauch:
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks. - Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. - Jakob Abeßer:
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios. - Ryan-Rhys Griffiths, Philippe Schwaller, Alpha A. Lee:
Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design. - Tobias Fritz, Tomás Gonda, Paolo Perrone:
De Finetti's Theorem in Categorical Probability. - Bicheng Yan, Dylan Robert Harp, Rajesh J. Pawar:
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media. - Pierre Maréchal, Walter Cedric Simo Tao Lee, Faouzi Triki:
A mollifier approach to regularize a Cauchy problem for the inhomogeneous Helmholtz equation. - Mahesh K. Banavar, Shandeepa Wickramasinghe, Monalisa Achalla, Jie Sun:
Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance Measures. - Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu:
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. - Ali Shojaie, Emily B. Fox:
Granger Causality: A Review and Recent Advances. - Gabriele Di Stefano:
Mutual Visibility in Graphs. - Tolga Buz, Gerard de Melo:
Should You Take Investment Advice From WallStreetBets? A Data-Driven Approach. - Aritra Laha, Agrim Aggarwal, Santosh Kumar:
Random density matrices: analytical results for mean root fidelity and mean square Bures distance. - Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri:
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification. - Mahdieh Kazemimoghadam, Weicheng Chi, Asal Rahimi, Nathan Kim, Prasanna Alluri, Chika Nwachukwu, Weiguo Lu, Xuejun Gu:
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation. - Xintao Yan, Yan Zhao, Henry X. Liu:
A probabilistic model for missing traffic volume reconstruction based on data fusion. - Johannes Rude Jensen, Mohsen Pourpouneh, Kurt Nielsen, Omri Ross:
The Homogenous Properties of Automated Market Makers. - Ye Wang, Yan Chen, Shuiguang Deng, Roger Wattenhofer:
Cyclic Arbitrage in Decentralized Exchange Markets. - Zhou Fan, Yihong Wu:
The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings. - Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. - Subhayan De, Bhuiyan Shameem Mahmood Ebna Hai, Alireza Doostan, Markus Bause:
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning. - Mohammad Esmaeili, Hussein Metwaly Saad, Aria Nosratinia:
Semidefinite Programming for Community Detection with Side Information. - Kaneez Fizza, Prem Prakash Jayaraman, Abhik Banerjee, Dimitrios Georgakopoulos, Rajiv Ranjan:
Evaluating Sensor Data Quality in Internet ofThings Smart Agriculture Applications. - Omkar Deshpande, Kharanshu Solanki, Sree Pujitha Suribhatla, Sanya Zaveri, Luv Ghodasara:
Simulating the DFT Algorithm for Audio Processing. - Zhenyu Xu, Thomas Mauldin, Zheyi Yao, Gerald Hefferman, Tao Wei:
A High-Performance, Reconfigurable, Fully Integrated Time-Domain Reflectometry Architecture Using Digital I/Os. - Mohammad Arif Ul Alam:
Activity-Aware Deep Cognitive Fatigue Assessment using Wearables. - Peter Hinz:
The layer-wise L1 Loss Landscape of Neural Nets is more complex around local minima. - Yuchen Fei, Bo Zhan, Mei Hong, Xi Wu, Jiliu Zhou, Yan Wang:
Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis. - Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre:
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. - Cesar R. Salas-Guerra:
Impact of digital economic activity on regional economic growth: A Case study from northern Minas Gerais between 2009 To 2018. - Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg:
Membership Inference Attacks on Deep Regression Models for Neuroimaging. - Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. - Aurora Cramer, Mark Cartwright, Fatemeh Pishdadian, Juan Pablo Bello:
Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes. - Ginno Millán:
On the Time Series Length for an Accurate Fractal Analysis in Network Systems. - Nayara Aguiar, Parv Venkitasubramaniam, Vijay Gupta:
Data-Driven Contract Design for Multi-Agent Systems with Collusion Detection. - Eun Lee, Aaron Clauset, Daniel B. Larremore:
The Dynamics of Faculty Hiring Networks. - Lene Kristian Bryngemark, David G. Cameron, Valentina Dutta, Thomas Eichlersmith, Balázs Kónya, Omar Moreno, Geoffrey Mullier, Florido Paganelli, Ruth Pöttgen, Fuzzy Rogers, Andrii Salnikov, Paul Weakliem:
Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments. - Felicity F. Nielson, Sean M. Colby, Ryan S. Renslow, Thomas O. Metz:
Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer sampling. - Arash Abizadeh, Adrian Vetta:
A Recursive Measure of Voting Power that Satisfies Reasonable Postulates. - Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques:
Structured dataset documentation: a datasheet for CheXpert. - Dusko Pavlovic:
Lambek pregroups are Frobenius spiders in preorders. - Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee:
DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI. - Yiming Bao, Jun Wang, Tong Li, Linyan Wang, Jianwei Xu, Juan Ye, Dahong Qian:
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. - Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. - László Mérai, Arne Winterhof:
Pseudorandom sequences derived from automatic sequences. - Yuchao Li, Karl Henrik Johansson, Jonas Mårtensson:
Data-driven Rollout for Deterministic Optimal Control. - Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell:
Pairwise Fairness for Ordinal Regression. - Luigi Riso:
Use of High Dimensional Modeling for automatic variables selection: the best path algorithm. - Sergey S. Khrapov, Alexander V. Khoperskov, Vladimir Korchagin:
Modeling of Spiral Structure in a Multi-Component Milky~Way-Like Galaxy. - Henrik Garde, Nuutti Hyvönen:
Series reversion in Calderón's problem. - Carlos Gershenson:
Emergence in artificial life. - Dan Geiger, David Heckerman:
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions. - Yuri I. Ozhigov:
The complexity of a quantum system and the accuracy of its description. - Andrew M. Pitts, S. C. Steenkamp:
Constructing Initial Algebras Using Inflationary Iteration. 88-102 - Tjalling Jager, Marie Trijau, Neil Sherborne, Benoit Goussen, Roman Ashauer:
Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling. - Jun-Jie Huang, Pier Luigi Dragotti:
LINN: Lifting Inspired Invertible Neural Network for Image Denoising. - Viacheslav Natarovskii, Daniel Rudolf, Björn Sprungk:
Geometric convergence of elliptical slice sampling. - Anna Weber, Jannis Born, María Rodríguez Martínez:
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks. - Jérôme Darbon, Peter M. Dower, Tingwei Meng:
Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs. - Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao:
Soft-Attention Improves Skin Cancer Classification Performance. - Rahul Parhi, Robert D. Nowak:
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory. - Giulio Cimini, Alessandro Carra, Luca Didomenicantonio, Andrea Zaccaria:
Meta-validation of bipartite network projections. - Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, Andrew D. Rutenberg:
Interpretable machine learning for high-dimensional trajectories of aging health. - Sam Foreman, Xiao-Yong Jin, James C. Osborn:
Deep Learning Hamiltonian Monte Carlo. - Xiuyuan Cheng, Yao Xie:
Kernel MMD Two-Sample Tests for Manifold Data. - Alexander Barg, Peter G. Boyvalenkov, Maya Stoyanova:
Bounds for the sum of distances of spherical sets of small size. - Xinyu Cheng, Zhaohui Fu, Brian Wetton:
Equivalent formulations of the oxygen depletion problem, other implicit free boundary value problems, and implications for numerical approximation. - Aswin Sivaraman, Minje Kim:
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection. - Sunwoo Kim, Minje Kim:
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. - Joe Sawada, Aaron Williams, Dennis Wong:
Inside the Binary Reflected Gray Code: Flip-Swap Languages in 2-Gray Code Order. - Carter N. Brown, Enrico Mattei, Andrew Draganov:
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting. - Ziheng Lin, Yanxiong Li, Zhangjin Huang, Wenhao Zhang, Yufeng Tan, Yichun Chen, Qianhua He:
Domestic activities clustering from audio recordings using convolutional capsule autoencoder network. - Alexander Scheinker, Frederick Cropp, Sergio Paiagua, Daniele Filippetto:
Adaptive Latent Space Tuning for Non-Stationary Distributions. - Masahito Ohue, Yutaka Akiyama:
MEGADOCK-GUI: a GUI-based complete cross-docking tool for exploring protein-protein interactions. - Zhishun Wang, Wei Lu, Kaixin Zhang, Tianhao Li, Zixi Zhao:
MCTG: Multi-frequency continuous-share trading algorithm with GARCH based on deep reinforcement learning. - Liqiang He, Shulin Feng, Dan Su, Dong Yu:
Latency-Controlled Neural Architecture Search for Streaming Speech Recognition. - Dario Dematties, Chenyu Wen, Mauricio David Pérez, Dian Zhou, Shi-Li Zhang:
Deep learning of nanopore sensing signals using a bi-path network. - Fan Wu, Patrick Rebeschini:
Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent. - Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong:
EZCrop: Energy-Zoned Channels for Robust Output Pruning. - Leonard Wossnig:
Quantum Machine Learning For Classical Data. - Marcel de Sena Dall'Agnol, Tom Gur, Subhayan Roy Moulik, Justin Thaler:
Quantum Proofs of Proximity. - Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar:
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening. - Wesley S. Leite, Rodrigo C. de Lamare:
Study of List-Based OMP and an Enhanced Model for Direction Finding with Non-Uniform Arrays. - Hongye Zeng, Songhan Ge, Yuchong Gao, Desen Zhou, Kang Zhou, Xu-Ming He, Rui Zheng:
Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network. - Quang Tuyen Le, Chin Chun Ooi:
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture. - Wenhao Yang, Zhihua Zhang:
Non-asymptotic Performances of Robust Markov Decision Processes. - Ferhat Özgür Çatak, Evren Çatak, Murat Kuzlu, Umit Cali:
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. - Robin Vujanic, Andrew John Hill:
Computationally Efficient Dynamic Traffic Optimization Of Railway Systems. - Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi:
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search. - Farzaneh Rajabi, Hamdi A. Tchelepi:
Probabilistic forecast of multiphase transport under viscous and buoyancy forces in heterogeneous porous media. - Michael R. Douglas:
Holomorphic feedforward networks. - Chayan Mondal, Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Md. Abdul Awal, Mohiuddin Ahmad:
Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks. - Alessio Benavoli, Cassio P. de Campos:
Bayesian Kernelised Test of (In)dependence with Mixed-type Variables. - Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski:
DiagSet: a dataset for prostate cancer histopathological image classification. - Uzi Pereg, Roberto Ferrara, Matthieu R. Bloch:
Key Assistance, Key Agreement, and Layered Secrecy for Bosonic Broadcast Channels. - Sean A. Adamson, Petros Wallden:
Practical Parallel Self-testing of Bell States via Magic Rectangles. - Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models. - Arthur J. Parzygnat:
Towards a functorial description of quantum relative entropy. - Muhammad Sohaib, Jongjin Jeong, Sang-Woon Jeon:
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees. - Carlos Alexandre Gouvea da Silva, Allan Christian Krainski Ferrari, Cristiano Osinski, Douglas Antonio Firmino Pelacini:
The Behavior of Internet Traffic for Internet Services during COVID-19 Pandemic Scenario. - Pengcheng Ren, Tongjiang Yan:
Latency Analysis of Consortium Blockchained Federated Learning. - Zheng Lyu, Krithin Kripakaran, Max Furth, Eric Tang, Brian A. Wandell, Joyce E. Farrell:
Validation of image systems simulation technology using a Cornell Box. - Sujie Li, Feng Pan, Pengfei Zhou, Pan Zhang:
Boltzmann machines as two-dimensional tensor networks. - Jørgen Bang-Jensen, Jonas Costa Ferreira da Silva, Frédéric Havet:
On the inversion number of oriented graphs. - Mohammad Parvini, Mohammad Reza Javan, Nader Mokari, Bijan Abbasi, Eduard A. Jorswieck:
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning. - Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci:
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning. - Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons:
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. - Adrian Redder, Arunselvan Ramaswamy, Holger Karl:
Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference. - Louisa Seelbach Benkner, Stephan G. Wagner:
Distinct Fringe Subtrees in Random Trees. - Barbara Rychalska, Mikolaj Wieczorek, Jacek Dabrowski:
T-EMDE: Sketching-based global similarity for cross-modal retrieval. - Mesut Sahin:
Rational points of lattice ideals on a toric variety and toric codes. - Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios:
Weakly supervised pan-cancer segmentation tool. - Xingchen Ma, Matthew B. Blaschko:
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking. - Mickael Rouvier, Pierre-Michel Bousquet, Jarod Duret:
Study on the temporal pooling used in deep neural networks for speaker verification. - Avishek Das, Dominic C. Rose, Juan P. Garrahan, David T. Limmer:
Reinforcement learning of rare diffusive dynamics. - Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang:
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. - Chad Nester:
Situated Transition Sytems. 103-115 - Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal:
Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network. - Malte Krack:
Extension of the single-nonlinear-mode theory by linear attachments and application to exciter-structure interaction. - Steven Kleinegesse, Michael U. Gutmann:
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds. - Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs. - Bhuwan Kashyap, Ratnesh Kumar:
A plug-and-play type field-deployable bio-agent free salicylic acid sensing system. - Martina Hancová, Andrej Gajdos, Jozef Hanc:
A practical, effective calculation of gamma difference distributions with open data science tools. - Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Adi Suresh, Jesse Thaler:
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution. - Sandeep Chowdhary, Aanjaneya Kumar, Giulia Cencetti, Iacopo Iacopini, Federico Battiston:
Simplicial contagion in temporal higher-order networks. - Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Galois/monodromy groups for decomposing minimal problems in 3D reconstruction. - Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Is there Anisotropy in Structural Bias? - Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande:
Deep Neural Networks as Point Estimates for Deep Gaussian Processes. - Stephan Leitner:
On the Role of Incentives in Evolutionary Approaches to Organizational Design. - Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. - Yiming Xu, Akil Narayan:
Budget-limited distribution learning in multifidelity problems. - Spandan Dey, Goutam Saha, Md. Sahidullah:
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages. - Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song:
Deeply-Debiased Off-Policy Interval Estimation. - Michael H. Freedman, Matthew B. Hastings, Modjtaba Shokrian Zini:
Symmetry Protected Quantum Computation. - Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade:
Stabilizability of Vector Systems with Uniform Actuation Unpredictability. - Chirag Gupta, Aaditya K. Ramdas:
Distribution-free calibration guarantees for histogram binning without sample splitting. - Michael Rathjen:
No speedup for geometric theories. - Kfir Sulimany, Rom Dudkiewicz, Simcha Korenblit, Hagai S. Eisenberg, Yaron Bromberg, Michael Ben-Or:
Fast and Simple One-Way High-Dimensional Quantum Key Distribution. - Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan:
Differentiable Signal Processing With Black-Box Audio Effects. - Yariv Aizenbud, Barak Sober:
Non-Parametric Estimation of Manifolds from Noisy Data. - Amir Ali Ahmadi, Cemil Dibek, Georgina Hall:
Sums of Separable and Quadratic Polynomials. - Dong Liu, Pingshan Li, Bicheng Zhang:
Component Edge Connectivity of Hypercube-like Networks. - Premjeet Singh, Goutam Saha, Md. Sahidullah:
Deep scattering network for speech emotion recognition. - Matthew J. Holland, El Mehdi Haress:
Spectral risk-based learning using unbounded losses. - Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir:
Asymptotically Optimal Procedures for Sequential Joint Detection and Estimation. - Kun Huang, Shi Pu:
Improving the Transient Times for Distributed Stochastic Gradient Methods. - Ryan Henderson, Djork-Arné Clevert, Floriane Montanari:
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity. - Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. - Andrea Fronzetti Colladon, Francesca Grippa, Barbara Guardabascio, Francesco Ravazzolo:
Exploring the Antecedents of Consumer Confidence through Semantic Network Analysis of Online News. - Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. - Zhinan Cai, Zhiyu Jiang, Yuan Yuan:
Task-related self-supervised learning for remote sensing image change detection. - Chad Nester:
A Variety Theorem for Relational Universal Algebra. - Navaneeth N., Souvik Chakraborty:
Surrogate assisted active subspace and active subspace assisted surrogate - A new paradigm for high dimensional structural reliability analysis. - Chenlu Wei, Zhiyu Jiang, Yuan Yuan:
Weighted Hierarchical Sparse Representation for Hyperspectral Target Detection. - Jaeyoung Kim, Han Lu, Anshuman Tripathi, Qian Zhang, Hasim Sak:
Reducing Streaming ASR Model Delay with Self Alignment. - Amit Behera, Or Sattath, Uriel Shinar:
Noise-Tolerant Quantum Tokens for MAC. - Wenzhi Fang, Yinan Zou, Hongbin Zhu, Yuanming Shi, Yong Zhou:
Optimal Receive Beamforming for Over-the-Air Computation. - Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu:
Gradient flow encoding with distance optimization adaptive step size. - Guillermo Cámbara, Alex Peiró Lilja, Mireia Farrús, Jordi Luque:
English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System. - Abhishek Tomy, Matteo Razzanelli, Francesco Di Lauro, Daniela Rus, Cosimo Della Santina:
Estimating the State of Epidemics Spreading with Graph Neural Networks. - Yulia Kempner, Vadim E. Levit:
Cospanning characterizations of violator and co-violator spaces. - Alex Dytso, Martina Cardone:
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family. - Wenzhi Fang, Yuning Jiang, Yuanming Shi, Yong Zhou, Wei Chen, Khaled B. Letaief:
Over-the-Air Computation via Reconfigurable Intelligent Surface. - Vanessa Piccolo, Dominik Schröder:
Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method. - Yeji Wang, Shuo Wu, Yanwen Duan, Yong Huang:
ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep Learning. - Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma:
Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms. - Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia:
A Twin Neural Model for Uplift. - Quang Tuyen Le, Pao-Hsiung Chiu, Chinchun Ooi:
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels. - Zhanyang Zhang, Tobias Schäfer, Michael E. Kress:
GNOME and LBM Model Evaluation on Ocean Oil Spill Far-Field Impacts to Highly Sensitive Areas. - Abel Cabrera Martínez, Alejandro Estrada-Moreno, Juan Alberto Rodríguez-Velázquez:
From (secure) w-domination in graphs to protection of lexicographic product graphs. - Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J. Copley, Eric O. Aboagye:
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs. - Andreea Birhala, Ionut Mironica:
ReflectNet - A Generative Adversarial Method for Single Image Reflection Suppression. - Alessandro Zocca, Chen Liang, Linqi Guo, Steven H. Low, Adam Wierman:
A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization. - Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik:
Polygrammar: Grammar for Digital Polymer Representation and Generation. - Thomas Sawczuk, Anna Palczewska, Ben Jones:
Development of an expected possession value model to analyse team attacking performances in rugby league. - Pasan Dissanayake, Prathapasinghe Dharmawansa, Yang Chen:
Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices. - Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. - Ren Hu, Qifeng Li:
Efficient Solution Strategy for Chance-Constrained Optimal Power Flow based on FAST and Data-driven Convexification. - Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes:
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. - Taiga Hiroka, Tomoyuki Morimae, Ryo Nishimaki, Takashi Yamakawa:
Quantum Encryption with Certified Deletion, Revisited: Public Key, Attribute-Based, and Classical Communication. - Shumao Zhang, Pengchuan Zhang, Thomas Y. Hou:
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference. - Shuichi Hirahara, François Le Gall:
Test of Quantumness with Small-Depth Quantum Circuits. - Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang:
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation. - Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu:
AVA: Adversarial Vignetting Attack against Visual Recognition. - Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko:
Structural risk minimization for quantum linear classifiers. - Shakeel A. Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
StutterNet: Stuttering Detection Using Time Delay Neural Network. - André Chailloux, Johanna Loyer:
Lattice sieving via quantum random walks. - Kevin Weinberger, Alaa Alameer Ahmad, Aydin Sezgin, Alessio Zappone:
Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering. - Yuri Gurevich:
Reversify any sequential algorithm. - Johan Larsson:
Look-Ahead Screening Rules for the Lasso. - Dian Wu, Riccardo Rossi, Giuseppe Carleo:
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks. - Wicak Ananduta, Sergio Grammatico:
Bregman algorithms for a class of Mixed-Integer Generalized Nash Equilibrium Problems. - Ojas Parekh, Kevin Thompson:
Application of the Level-$2$ Quantum Lasserre Hierarchy in Quantum Approximation Algorithms. - Canqi Yao, Shibo Chen, Zaiyue Yang:
Joint Routing and Charging Problem of Multiple Electric Vehicles: A Fast Optimization Algorithm. - Mathew Schwartz, Yong Geng, Hakam Agha, Rijeesh Kizhakidathazhath, Danqing Liu, Gabriele Lenzini, Jan P. F. Lagerwall:
Linking Physical Objects to Their Digital Twins via Fiducial Markers Designed for Invisibility to Humans. - Juiwen Ting, Xuesong Wu, Kangkang Hu, Hong Zhang:
Deep Snapshot HDR Reconstruction Based on the Polarization Camera. - Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya:
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. - Raaz Dwivedi, Lester Mackey:
Kernel Thinning. - Mark M. Wilde:
Second Law of Entanglement Dynamics for the Non-Asymptotic Regime. - Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas:
The Federated Tumor Segmentation (FeTS) Challenge. - Bhargav Pulugundla, Yang Gao, Brian John King, Gokce Keskin, Sri Harish Mallidi, Minhua Wu, Jasha Droppo, Roland Maas:
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition. - Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A new perspective on low-rank optimization. - Babak Barazandeh, Ali Ghafelebashi, Meisam Razaviyayn, Ram Sriharsha:
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models. - Jonas Sukys, Marco Bacci:
SPUX Framework: a Scalable Package for Bayesian Uncertainty Quantification and Propagation. - Henry H. Chopp, Srutarshi Banerjee, Oliver Cossairt, Aggelos K. Katsaggelos:
Removing Blocking Artifacts in Video Streams Using Event Cameras. - Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. - Atithi Acharya, Siddhartha Saha, Anirvan M. Sengupta:
Informationally complete POVM-based shadow tomography. - Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. - Eber Dantas, Michel Tosin, Americo Cunha Jr.:
Calibration of a SEIR-SEI epidemic model to describe the Zika virus outbreak in Brazil. - Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen:
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. - Johannes O. Royset:
Good and Bad Optimization Models: Insights from Rockafellians. - Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen:
HINet: Half Instance Normalization Network for Image Restoration. - Sayantan Chakraborty, Aditya Nema, Pranab Sen:
One-shot inner bounds for sending private classical information over a quantum MAC. - Matteo Chieregato, Fabio Frangiamore, Mauro Morassi, Claudia Baresi, Stefania Nici, Chiara Bassetti, Claudio Bnà, Marco Galelli:
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data. - Tarek Allam Jr., Jason D. McEwen:
Paying Attention to Astronomical Transients: Photometric Classification with the Time-Series Transformer. - Utku Birkan, Özlem Salehi, Viktor Olejár, Cem Nurlu, Abuzer Yakaryilmaz:
Implementing Quantum Finite Automata Algorithms on Noisy Devices. - Afshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman:
Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images. - Thomas J. Elliott:
Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models. - Albara Ah Ramli, Huanle Zhang, Jiahui Hou, Rex Liu, Xin Liu, Alina Nicorici, Daniel Aranki, Corey Owens, Poonam Prasad, Craig M. McDonald, Erik K. Henricson:
Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches. - Satvik Singh, Nilanjana Datta:
Detecting positive quantum capacities of quantum channels. - Sela Fried, Geoffrey Wolfer:
Identity testing of reversible Markov chains. - Walter Kern, Barnaby Martin, Daniël Paulusma, Siani Smith, Erik Jan van Leeuwen:
Disjoint Paths and Connected Subgraphs for H-Free Graphs. - Alexis Ayala, Christopher Drazic, Brian Hutchinson, Ben Kravitz, Claudia Tebaldi:
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks. - Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman:
End-to-End Sequential Sampling and Reconstruction for MR Imaging. - Eliu A. Huerta, Zhizhen Zhao:
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources. - Chuanlong Li:
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets. - Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto:
Bias, Fairness, and Accountability with AI and ML Algorithms. - Ricardo Oscar Rodríguez, Olim Frits Tuyt, Lluís Godo, Francesc Esteva:
Simplified Kripke semantics for K45-like Godel modal logics and its axiomatic extensions. - Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir:
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation. - David Garfinkle, James Isenberg, Dan Knopf, Haotian Wu:
A numerical stability analysis of mean curvature flow of noncompact hypersurfaces with Type-II curvature blowup. - Boris Ryabko:
Calibrating random number generator tests. - Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong:
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. - Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline. - Jiaqi Zhang, Keyou You, Lihua Xie:
Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence. - Pablo Martínez-Nuevo:
Nonuniform Sampling Rate Conversion: An Efficient Approach. - Jan E. Snellman, Rafael A. Barrio, Kimmo K. Kaski, Maarit J. Käpylä:
Modeling the interplay between epidemics and regional socio-economics. - Gilles Callebaut, Jarne Van Mulders, Geoffrey Ottoy, Liesbet Van der Perre:
A Primer on Techtile: An R&D Testbed for Distributed Communication, Sensing and Positioning. - Johan Kopra, Ville Salo:
Sofically presented dynamical systems. - David Hartman, Aneta Pokorná:
Constructions of betweenness-uniform graphs from trees. - Jun Shi, Huite Yi, Xiaoyu Hao, Hong An, Wei Wei:
Dual-Attention Residual Network for Automatic Diagnosis of COVID-19. - Anatolii Serdyuk, Andrii Shidlich:
Direct and inverse theorems on the approximation of almost periodic functions in Besicovitch-Stepanets spaces. - Gianluca Truda:
Quantified Sleep: Machine learning techniques for observational n-of-1 studies. - Mohsen Asgari, Hossein Khasteh:
Application of Three Different Machine Learning Methods on Strategy Creation for Profitable Trades on Cryptocurrency Markets. - Minshan Xie, Menghan Xia, Tien-Tsin Wong:
Exploiting Aliasing for Manga Restoration. - Thomas J. Elliott:
Quantum coarse-graining for extreme dimension reduction in modelling stochastic temporal dynamics. - Bernd Accou, Mohammad Jalilpour-Monesi, Hugo Van hamme, Tom Francart:
Predicting speech intelligibility from EEG using a dilated convolutional network. - Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre:
Deep Learning Based RIS Channel Extrapolation with Element-grouping. - Vincent Fortuin:
Priors in Bayesian Deep Learning: A Review. - Qing Ma, Jae Chul Koh, Won-Sook Lee:
A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution. - Piero Rivera Benois, Reinhild Roden, Matthias Blau, Simon Doclo:
Sound Pressure Minimization at the Ear Drum for In-ear ANC Headphones using a Fixed Feedforward Remote Microphone Technique. - Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley:
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering. - Kiana Farhadyar, Federico Bonofiglio, Daniela Zöller, Harald Binder:
Adapting deep generative approaches for getting synthetic data with realistic marginal distributions. - Stefan Hillmich, Charles Hadfield, Rudy Raymond, Antonio Mezzacapo, Robert Wille:
Decision Diagrams for Quantum Measurements with Shallow Circuits. - Mauro Mezzini, Fernando L. Pelayo, Fernando Cuartero:
Quantum algorithm for doubling the amplitude of the search problem's solution states. - Éric Fusy, Erkan Narmanli, Gilles Schaeffer:
On the enumeration of plane bipolar posets and transversal structures. - Reza Sameni, Christian Jutten:
A Hypothesis Testing Approach to Nonstationary Source Separation. - Vincent Fortuin, Adrià Garriga-Alonso, Mark van der Wilk, Laurence Aitchison:
BNNpriors: A library for Bayesian neural network inference with different prior distributions. - Kelsey Maass, Aleksandr Y. Aravkin, Minsun Kim:
A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. - Lu Li, Connor Thompson, Gregory Henselman-Petrusek, Chad Giusti, Lori Ziegelmeier:
Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User's Guide. - Amin Asadi, Sarah G. Nurre Pinkley:
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations. - Amit Verma, Mark W. Lewis:
Variable Reduction For Quadratic Unconstrained Binary Optimization. - Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, Carri Glide-Hurst:
SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation. - Lukas Burgholzer, Hartwig Bauer, Robert Wille:
Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams. - Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi, Milind Rao, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Jasha Droppo:
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End. - Akinori Kawachi, Harumichi Nishimura:
Communication Complexity of Private Simultaneous Quantum Messages Protocols. - Gushu Li, Yunong Shi, Ali Javadi-Abhari:
Software-Hardware Co-Optimization for Computational Chemistry on Superconducting Quantum Processors. - Wei Zhou, Zhou Wang, Zhibo Chen:
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness. - Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski:
NeuroGen: activation optimized image synthesis for discovery neuroscience. - Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu:
RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Window-Level is a Strong Denoising Surrogate. - Deepak Kumar, Shafeeque E. S., Sachin D. Kore, Arup Nandy:
Electromagnetic Crimping on Threaded Surface: FEM Modelling, Validation and Effects of Pitch and Discharge Energy on Deformation in an Empirical Relation. - Hanfeng Zhai, Guohui Hu:
Inferring micro-bubble dynamics with physics-informed deep learning. - Anton V. Proskurnikov, Giuseppe Carlo Calafiore:
Delay Robustness of Consensus Algorithms: Beyond The Uniform Connectivity (Extended Version). - Carlos Pedro Gonçalves:
Cyberattacks on Quantum Networked Computation and Communications - Hacking the Superdense Coding Protocol on IBM's Quantum Computers. - Yanhua Gao, Ting Xie, Xun Wang, Qingqing Yang, Le Chen, Kai Sun, Youmin Guo, Gang Yu, Kuansong Wang:
Multi-scale super-resolution generation of low-resolution scanned pathological images. - Taro Shibayama, Yingkai Ouyang:
The equivalence between correctability of deletions and insertions of separable states in quantum codes. - Katayun Barmak, Anastasia Dunca, Yekaterina Epshteyn, Chun Liu, Masashi Mizuno:
Grain Growth and the Effect of Different Time Scales. - Dirk Tasche:
Calibrating sufficiently. - Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang:
A brain basis of dynamical intelligence for AI and computational neuroscience. - Jonathan Lacotte, Yifei Wang, Mert Pilanci:
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality. - Ting-Jui Chang, Shahin Shahrampour:
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. - Yash Kanoria:
Dynamic Matching under Spatial Frictions. - Myungjong Kim, Vijendra Raj Apsingekar, Divya Neelagiri:
X-Vectors with Multi-Scale Aggregation for Speaker Diarization. - Noam Janco, Tamir Bendory:
An accelerated expectation-maximization for multi-reference alignment. - Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Yasuhiko Igarashi, Masato Okada:
Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks. - Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Unsupervised MMRegNet based on Spatially Encoded Gradient Information. - Carsten W. Scherer:
Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections. - Feng Huang, Ming Cao, Long Wang:
Optimal control of robust team stochastic games. - Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin:
Protein sequence-to-structure learning: Is this the end(-to-end revolution)? - Prem Talwai, Ali Shameli, David Simchi-Levi:
Sobolev Norm Learning Rates for Conditional Mean Embeddings. - Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. - Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. - Maxim A. Ziatdinov, Ayana Ghosh, Tommy Wong, Sergei V. Kalinin:
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond. - Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler:
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. - T. Tony Cai, Rong Ma:
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data. - Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla P. Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Gregory S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara:
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Laura Blattner, Scott Nelson:
How Costly is Noise? Data and Disparities in Consumer Credit. - Seong-Gyu Yang, Beom Jun Kim, Seung-Woo Son, Heetae Kim:
Power-grid stability prediction using transferable machine learnings. - Jack Yutong Li, Ruoqing Zhu, Annie Qu, Mike Yeh:
Dermoscopic Image Classification with Neural Style Transfer. - Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani:
Cross-Cluster Weighted Forests. - Jun Yang, Nico Brailovsky:
Dual-Stage Low-Complexity Reconfigurable Speech Enhancement. - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Improving Graph Neural Networks with Simple Architecture Design. - Mengdi Wang, Yitong Deng, Xiangxin Kong, Aditya H. Prasad, Shiying Xiong, Bo Zhu:
Thin-Film Smoothed Particle Hydrodynamics Fluid. - Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, Ketan Kotecha:
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species. - (Withdrawn) Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression.
- Rancy El Nmeir, Gilles Pagès:
Quantization-based approximation of reflected BSDEs with extended upper bounds for recursive quantization. - Antonio F. Peralta, János Kertész, Gerardo Iñiguez:
The effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions. - Andrea Fronzetti Colladon, Barbara Guardabascio, Rosy Innarella:
Using social network and semantic analysis to analyze online travel forums and forecast tourism demand. - Alexander P. Kartun-Giles, Kostas Koufos, Nicolas Privault:
Connectivity of 1d random geometric graphs. - Stefan Hetzl, Jannik Vierling:
Induction and Skolemization in saturation theorem proving. - Jeffrey Galkowski, David Lafontaine, Euan A. Spence:
Perfectly-matched-layer truncation is exponentially accurate at high frequency. - Elisa Battistoni, Andrea Fronzetti Colladon:
Personality correlates of key roles in informal advice networks. - Federico Milano:
A Geometrical Interpretation of Frequency. - Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg:
Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI. - Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal M. Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz:
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang:
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. - Angeline Pouget, Sidharth Ramesh, Maximilian Giang, Ramithan Chandrapalan, Toni Tanner, Moritz Prussing, Radu Timofte, Andrey Ignatov:
Fast and Accurate Camera Scene Detection on Smartphones. - Konstantin Zimenko, Denis V. Efimov, Andrey E. Polyakov:
Adaptive Finite-time and Fixed-time Control Design using Output Stability Conditions. - Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu:
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. - Hritam Basak, Rukhshanda Hussain, Ajay Rana:
DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation. - Minjia Shi, Xiaoxiao Li, Patrick Solé:
Designs, permutations, and projective planes. - Benjamin Seiler, Masayoshi Mase, Art B. Owen:
What makes you unique? - Kun Yuan, Sulaiman A. Alghunaim:
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD. - Hunter Johnston:
The Theory of Functional Connections: A journey from theory to application. - Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction. - Francesco Guzzi, Georgios Kourousias, Fulvio Billè, Roberto Pugliese, Alessandra Gianoncelli, Sergio Carrato:
A parameter refinement method for Ptychography based on Deep Learning concepts. - Yilmaz Korkmaz, Salman Ul Hassan Dar, Mahmut Yurt, Muzaffer Özbey, Tolga Çukur:
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers. - Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh:
Neural Error Mitigation of Near-Term Quantum Simulations. - Vignav Ramesh, Blaine Rister, Daniel L. Rubin:
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs. - Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun:
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction. - Eric Z. Chen, Yongquan Ye, Xiao Chen, Jingyuan Lyu, Zhongqi Zhang, Yichen Hu, Terrence Chen, Jian Xu, Shanhui Sun:
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning. - Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang:
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction. - Marshall Buck, Douglas H. Wiedemann:
A Simple Search Problem. - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala:
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images. - Puhan Zhang, Gia-Wei Chern:
Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation. - Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements. - Tianchen Wang, Zhihe Li, Meiping Huang, Jian Zhuang, Shanshan Bi, Jiawei Zhang, Yiyu Shi, Hongwen Fei, Xiaowei Xu:
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis. - Melchior Wirth, Haonan Zhang:
Curvature-dimension conditions for symmetric quantum Markov semigroups. - Jesús Cerquides:
Parametrization invariant interpretation of priors and posteriors. - Salman Beigi, Leila Taghavi, Artin Tajdini:
Time and Query Optimal Quantum Algorithms Based on Decision Trees. - Canh Hao Nguyen, Hiroshi Mamitsuka:
On Convex Clustering Solutions. - Michael Scherbela, Rafael Reisenhofer, Leon Gerard, Philipp Marquetand, Philipp Grohs:
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks. - Christoph Buchheim, Dorothee Henke, Felix Hommelsheim:
On the Complexity of Robust Bilevel Optimization With Uncertain Follower's Objective. - Mahyar Bolhassani:
Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet. - Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Data-driven distributionally robust MPC using the Wasserstein metric. - Jochen Schmid:
Approximate solutions of convex semi-infinite optimization problems in finitely many iterations. - Hugo Lhachemi, Christophe Prieur:
Nonlinear Boundary Output Feedback Stabilization of Reaction Diffusion PDEs. - Pablo Krupa, Rim Jaouani, Daniel Limón, Teodoro Alamo:
A sparse ADMM-based solver for linear MPC subject to terminal quadratic constraint. - Hugo Moeneclaey:
Parametricity and Semi-Cubical Types. - Hugo Lhachemi, Christophe Prieur:
Predictor-Based Output Feedback Stabilization of an Input Delayed Parabolic PDE with Boundary Measurement. - Liangwang Ruan, Jinyuan Liu, Bo Zhu, Shinjiro Sueda, Bin Wang, Baoquan Chen:
Solid-Fluid Interaction with Surface-Tension-Dominant Contact. - Jaswanth Reddy Katthi, Sriram Ganapathy:
Deep Correlation Analysis for Audio-EEG Decoding. - Anna Zink, Sherri Rose:
Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment. - Tooru Akagi, Yuki Kuhara, Takuya Mieno, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Combinatorics of minimal absent words for a sliding window. - Yuxing Chen:
Multi-view Contrastive Coding of Remote Sensing Images at Pixel-level. - Sara Atito Ali Ahmed, Mehmet Can Yavuz, Mehmet Umut Sen, Fatih Gulsen, Onur Tutar, Bora Korkmazer, Cesur Samanci, Sabri Sirolu, Rauf Hamid, Ali Ergun Eryurekli, Toghrul Mammadov, Berrin A. Yanikoglu:
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches. - Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura:
Conjunction Data Messages behave as a Poisson Process. - Soodeh Habibi, Arefeh Kavand, Michal Kocvara, Michael Stingl:
Barrier and penalty methods for low-rank semidefinite programming with application to truss topology design. - Jan Decuyper, David T. Westwick, Kiana Karami, Johan Schoukens:
Decoupling P-NARX models using filtered CPD. - Charles Brazier, Gerhard Widmer:
Handling Structural Mismatches in Real-time Opera Tracking. - Muhammad Osama, Dave Zachariah, Petre Stoica:
Distributionally Robust Learning in Heterogeneous Contexts. - Hao Du, Christoph Koutschan, Thotsaporn Thanatipanonda, Elaine Wong:
Binomial Determinants for Tiling Problems Yield to the Holonomic Ansatz. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part I: The model-based case. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Linear tracking MPC for nonlinear systems Part II: The data-driven case. - Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
Forecasting Significant Wave Heights in Oceanic Waters. - Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. - Darshan W. Bryner, Anuj Srivastava:
Shape Analysis of Functional Data with Elastic Partial Matching. - Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee:
Detecting Adversarial Examples with Bayesian Neural Network. - Robert P. Sheridan, Andy Liaw, Matthew Tudor:
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships. - Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget, Fenglong Song, Cheng Li, Shuai Xiao, Zhongqian Fu, Matteo Maggioni, Yibin Huang, Shen Cheng, Xin Lu, Yifeng Zhou, Liangyu Chen, Donghao Liu, Xiangyu Zhang, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Bin Huang, Tianbao Zhou, Shuai Liu, Lei Lei, Chaoyu Feng, Liguang Huang, Zhikun Lei, Feifei Chen:
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. - Hao Xie, Linfeng Zhang, Lei Wang:
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation. - Farzan Soleymani, Eric Paquet:
Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management - DeepPocket. - Krishnakumar Balasubramanian:
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons. - Alexander Goscinski, Felix Musil, Sergey Pozdnyakov, Michele Ceriotti:
Optimal radial basis for density-based atomic representations. - Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
A LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters. - Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui:
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. - Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. - Pedro Cisneros-Velarde, Francesco Bullo:
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows. - Suhas Vijaykumar:
Localization, Convexity, and Star Aggregation. - Nicholas Sterge, Bharath K. Sriperumbudur:
Statistical Optimality and Computational Efficiency of Nyström Kernel PCA. - Andrey T. Cherkasov, Dmitri Piontkovski:
Wilf classes of non-symmetric operads. - Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv:
Deep Neural Network Accelerated Implicit Filtering. - Abhishek Shende, Deepanshu Vasal, Sriram Vishwanath:
A Phase Transition in Large Network Games. - Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
Complementary Structure-Learning Neural Networks for Relational Reasoning. - Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. - Florian Rehm, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker:
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations. - Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. - Junxiao Chen, Jia Wei, Rui Li:
TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. - Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara:
Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech. - Simon Mandlík, Matej Racinsky, Viliam Lisý, Tomás Pevný:
Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data. - Jun Fu, Chen Hou, Wei Zhou, Jiahua Xu, Zhibo Chen:
Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment. - Mohammed Elshendy, Andrea Fronzetti Colladon, Elisa Battistoni, Peter A. Gloor:
Using four different online media sources to forecast the crude oil price. - Canqi Yao, Shibo Chen, Zaiyue Yang:
Evacuation Problem Under the Nuclear Leakage Accident. - Jinsheng Chen, Hans van Ditmarsch, Giuseppe Greco, Apostolos Tzimoulis:
Neighbourhood semantics for graded modal logic. - Aniket Pramanik, Xiaodong Wu, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. - Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino:
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces. - AmirEmad Ghassami, Numair Sani, Yizhen Xu, Ilya Shpitser:
Multiply Robust Causal Mediation Analysis with Continuous Treatments. - Paul W. Wilson, Fabio Zanasi:
The Cost of Compositionality: A High-Performance Implementation of String Diagram Composition. 262-275 - Raphaël d'Andrimont, Astrid Verhegghen, Guido Lemoine, Pieter Kempeneers, Michele Meroni, Marijn Van der Velde:
From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations. - Haoran Wang, Shi Yu:
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning. - Eberhard Mayerhofer:
Criticality and Popularity in Social Networks. - Enes Sadi Uysal, M. Safak Bilici, B. Selin Zaza, M. Yigit Özgenç, Onur Boyar:
Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation. - Dirk Bergemann, Paul Duetting, Renato Paes Leme, Song Zuo:
Calibrated Click-Through Auctions: An Information Design Approach. - Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Andreas Maier:
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network. - Allahkaram Shafiei, Vyacheslav Kungurtsev, Jakub Marecek:
Trilevel and Multilevel Optimization using Monotone Operator Theory. - Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar:
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media. - Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris:
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage. - Samudra Dasgupta, Travis S. Humble:
Stability of noisy quantum computing devices. - Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis:
Physics-informed neural networks (PINNs) for fluid mechanics: A review. - Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. - Americo Cunha Jr., Rafael Nasser, Rubens Sampaio, Hélio Lopes, Karin K. Breitman:
Uncertainty quantification through Monte Carlo method in a cloud computing setting. - Sela Fried, Geoffrey Wolfer:
On the α-lazy version of Markov chains in estimation and testing problems. - Zhihao Hu, Guo Lu, Dong Xu:
FVC: A New Framework towards Deep Video Compression in Feature Space. - Noa Malem-Shinitski, César Ojeda, Manfred Opper:
Nonlinear Hawkes Process with Gaussian Process Self Effects. - Janek Gröhl, Melanie Schellenberg, Kris Dreher, Niklas Holzwarth, Minu Dietlinde Tizabi, Alexander Seitel, Lena Maier-Hein:
Semantic segmentation of multispectral photoacoustic images using deep learning. - Dan Oneata, Adriana Stan, Horia Cucu:
Speaker disentanglement in video-to-speech conversion. - Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang:
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors. - Shun Kimura, Keisuke Ota, Koujin Takeda:
Improved Neuronal Ensemble Inference with Generative Model and MCMC. - Bo Cheng, Ruhui Xue, Hang Yang, Laili Zhu, Wei Xiang:
DPN-SENet: A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images. - Yongfeng Li, Mingming Zhao, Weijie Chen, Zaiwen Wen:
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning. - Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji, Yi Pan, Yanqing Zhang:
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks. - Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-based Plain Net for Mobile Image Super-Resolution. - Tuomas Takko, Kunal Bhattacharya, Daniel Monsivais, Kimmo Kaski:
Human-agent coordination in a group formation game. - Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory. - Natalie C. Behague, Anthony Bonato, Melissa A. Huggan, Trent G. Marbach, Brittany Pittman:
The localization capture time of a graph. - Victor Manuel Trejo Navas, Ante Buljac, François Hild, Thilo F. Morgeneyer, Marc Bernacki, Pierre-Olivier Bouchard:
An examination of local strain fields evolution in ductile cast iron through micromechanical simulations based on 3D imaging. - Zhe Wang, Claude Guet:
Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field. - Marthe Bonamy, Lukasz Bozyk, Andrzej Grzesik, Meike Hatzel, Tomás Masarík, Jana Novotná, Karolina Okrasa:
Tuza's Conjecture for Threshold Graphs. - Jun Ho Yoon, Seyoung Kim:
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation. - Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese:
A Stochastic Operator Framework for Inexact Static and Online Optimization. - John W. Simpson-Porco, Nima Monshizadeh:
Diagonal Stability of Systems with Rank-1 Interconnections and Application to Automatic Generation Control in Power Systems. - Shehan Perera, Srikar Adhikari, Alper Yilmaz:
POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound. - Aleksandr Beknazaryan:
Neural networks with superexpressive activations and integer weights. - Josef Knapp, Alexander Paulus, Jonas Kornprobst, Uwe Siart, Thomas F. Eibert:
Multi-Frequency Phase Retrieval for Antenna Measurements. - Emily Sandford, David Kipping, Michael Collins:
On planetary systems as ordered sequences. - Kai Han, Kwan-Yee K. Wong, Miaomiao Liu:
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction. - Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin:
Kernel Stein Discrepancy Descent. - Li-Heng Chen, Christos G. Bampis, Zhi Li, Chao Chen, Alan C. Bovik:
Convolutional Block Design for Learned Fractional Downsampling. - Daniel Poh, Bryan Lim, Stefan Zohren, Stephen J. Roberts:
Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures. - Mehrzad Mohammadi Bijaieh, Satish Vedula, Olugbenga Moses Anubi:
Model and Load Predictive Control for Design and Energy Management of Shipboard Power Systems. - Aaron Kandel, Saehong Park, Scott J. Moura:
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. - Americo Cunha Jr., Rubens Sampaio:
On the nonlinear stochastic dynamics of a continuous system with discrete attached elements. - Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang:
Deep Learning-based Implicit CSI Feedback in Massive MIMO. - Doojin Kim, Kyoungchul Kong, Konstantin T. Matchev, Myeonghun Park, Prasanth Shyamsundar:
Deep-Learned Event Variables for Collider Phenomenology. - Pinaki Sen, Amandeep Singh Bhatia:
Variational Quantum Classifiers Through the Lens of the Hessian. - Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. - Kai Yin, Anirban Mondal:
Bayesian Uncertainty Quantification of Local Volatility Model. - Masaki Nakanishi, Kazuki Sato, Hideo Terada:
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss. - Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks. - Markus Juvonen, Samuli Siltanen, Fernando Silva de Moura:
Helsinki Deblur Challenge 2021: description of photographic data. - Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghih Roohi, Mathias Unberath:
An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma. - Anirudh Ambati, Shiv Ram Dubey:
AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images. - Ruiqi Liu, Mingao Yuan, Zuofeng Shang:
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints. - Fumiko Ogushi, János Kertész, Kimmo Kaski, Takashi Shimada:
Ecology in the digital world of Wikipedia. - Lior Bragilevsky, Ivan V. Bajic:
Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion. - Usman Sanwal, Thai Son Hoang, Luigia Petre, Ion Petre:
Towards Scalable Modeling of Biology in Event-B. - Inass Sekkat, Gabriel Stoltz:
Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics. - Taku Shoji, Noboru Yoshida, Toshihisa Tanaka:
Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model. - Doudou Zhou, Tianxi Cai, Junwei Lu:
BELT: Blockwise Missing Embedding Learning Transfomer. - Alireza Soroudi:
Controllable Transmission Networks under Demand Uncertainty with Modular FACTS. - Mengxi Tan, Xingyuan Xu, David J. Moss:
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks. - Julio Silva-Rodríguez, Adrián Colomer, José Dolz, Valery Naranjo:
Self-learning for weakly supervised Gleason grading of local patterns. - Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba:
Covariance-Free Sparse Bayesian Learning. - Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images. - Alessandro Neri:
Twisted Linearized Reed-Solomon Codes: A Skew Polynomial Framework. - Jeffrey L. Krichmar:
Edelman's Steps Toward a Conscious Artifact. - Haozhe Su, Michael V. Tretyakov, David P. Newton:
Option Valuation through Deep Learning of Transition Probability Density. - Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, William L. Hamilton:
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. - Jenna A. Bilbrey, Logan T. Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman:
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates. - Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection. - Yan Chen, Jing Dong:
Scheduling with Service-Time Information: The Power of Two Priority Classes. - Martin Balko, David Chodounský, Natasha Dobrinen, Jan Hubicka, Matej Konecný, Lluís Vena, Andy Zucker:
Big Ramsey degrees of the generic partial order. - Eric Chen, Justin Chu, Jessica Zhang, René L. Warren, Inanç Birol:
GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies. - Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García, Adrián Colomer, Valery Naranjo:
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net. - Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. - Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett:
Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings. - Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter L. Bartlett, Michael I. Jordan:
Parallelizing Contextual Linear Bandits. - Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar:
Automatic calibration of time of flight based non-line-of-sight reconstruction. - Hangjie Ji, Kyle J. Lafata, Yvonne M. Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang:
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. - Gang Chen, Ilia Ponomarenko:
Tensor products of coherent configurations. - Yue Zhang, Yajie Zou, Lingtao Wu:
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes. - Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio':
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution. - Jianrui Xie:
On Symmetric Invertible Binary Pairing Functions. - G. Manjunath, A. de Clercq:
Universal set of Observables for the Koopman Operator through Causal Embedding. - G. Manjunath:
Embedding Information onto a Dynamical System. - Zhiyuan Chu, Kai-Kit Wong, Kin-Fai Tong:
Reconfigurable Surface Wave Platform Using Fluidic Conductive Structures. - Xerxes D. Arsiwalla, Jonathan Gorard, Hatem Elshatlawy:
Homotopies in Multiway (Non-Deterministic) Rewriting Systems as n-Fold Categories. - Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante:
Orthogonal Ensemble Networks for Biomedical Image Segmentation. - Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon:
Spectral Pruning for Recurrent Neural Networks. - Hamid Rahkooy, Thomas Sturm:
Parametric Toricity of Steady State Varieties of Reaction Networks. - Madhav Pathak, Ratnesh Kumar:
Synchronous Pre-biasing of Triboelectric Nanogenerator for Enhanced Energy Extraction. - Seunghwan An, Hosik Choi, Jong-June Jeon:
EXoN: EXplainable encoder Network. - Younghwan Chae, Daniel N. Wilke, Dominic Kafka:
GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks. - Zhiqiang Wang, Zhenfeng Shao, Xiao Huang, Jiaming Wang, Tao Lu, Sihang Zhang:
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising. - Yuan Xu:
Approximation and localized polynomial frame on double hyperbolic and conic domains. - Jaeseok Byun, Sungmin Cha, Taesup Moon:
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. - Andrii Arman, Vojtech Rödl, Marcelo Tadeu Sales:
Every Steiner triple system contains almost spanning d-ary hypertree. - Matthew J. Holland:
Robust learning with anytime-guaranteed feedback. - Daniel Adams, Manh Hong Duong, Gonçalo Dos Reis:
Operator-splitting schemes for degenerate conservative-dissipative systems. - Anatasiia Kornilova, Iakov Kirilenko, Dmitrii Iarosh, Vladimir Kutuev, Maxim Strutovsky:
Smart mobile microscopy: towards fully-automated digitization. - Chairi Kiourt, Georgios Feretzakis, Konstantinos Dalamarinis, Dimitris Kalles, Georgios Pantos, Ioannis Papadopoulos, Spyros Kouris, George Ioannakis, Evangelos Loupelis, Petros Antonopoulos, Aikaterini Sakagianni:
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients. - (Withdrawn) Parallel adaptive procedure for CFD simulations.
- Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections. - Prerak Mann, Sahaj Jain, Saurabh Mittal, Aruna Bhat:
Generation of COVID-19 Chest CT Scan Images using Generative Adversarial Networks. - Sakitha Ariyarathne, Harsha Gangammanavar, Raanju R. Sundararajan:
Change Point Detection in Nonstationary Sub-Hourly Wind Time Series. - Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson:
Brain tumour segmentation using a triplanar ensemble of U-Nets. - Ankita Joshi, Yi Hong:
DDR-Net: Dividing and Downsampling Mixed Network for Diffeomorphic Image Registration. - Kristóf Huszár:
On the pathwidth of hyperbolic 3-manifolds. - Xin Jin:
Can we imitate stock price behavior to reinforcement learn option price? - Vaibhav Karve, Anil N. Hirani:
GraphSAT - a decision problem connecting satisfiability and graph theory. - Angela Fontan, Claudio Altafini:
The role of frustration in collective decision-making dynamical processes on multiagent signed networks. - Weiqi Ji, Franz Richter, Michael J. Gollner, Sili Deng:
Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks. - Peter A. Streufert:
A Category for Extensive-Form Games. - Valeriy Avanesov:
Uncertainty quantification for distributed regression. - R. Dinesh Jackson Samuel, Rajesh Kanna Baskaran:
Design to automate the detection and counting of Tuberculosis(TB) bacilli. - Bastian Harrach:
Solving an inverse elliptic coefficient problem by convex non-linear semidefinite programming. - Berkay Köprü, Murat Aslan, Alisher Kholmatov:
Neural Network Based Sleep Phases Classification for Resource Constraint Environments. - Ashwin Nalwade, Jackie Kisa:
Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation. - David A. Barmherzig, Ju Sun:
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. - Marco Ballesio, Ajay Jasra:
Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models. - Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery:
Informative Bayesian model selection for RR Lyrae star classifiers. - Martin Jankowiak, Geoff Pleiss:
Scalable Cross Validation Losses for Gaussian Process Models. - Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons:
Deep Learning-based Damage Mapping with InSAR Coherence Time Series. - Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki:
Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control. - Nathan Eli Miller, Saibal Mukhopadhyay:
A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor. - Areeq I. Hasan:
IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularization. - Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin:
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs. - Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet:
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. - Weiyi Xie, Colin Jacobs, Bram van Ginneken:
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. - Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn:
Deep learning-based bias transfer for overcoming laboratory differences of microscopic images. - Tony Huynh, O-joung Kwon:
On the Erdős-Pósa property for long holes in C4-free graphs. - Johannes Kirschner, Andreas Krause:
Bias-Robust Bayesian Optimization via Dueling Bandit. - Rémi Leluc, François Portier:
SGD with Coordinate Sampling: Theory and Practice. - Ivo F. D. Oliveira, Ricardo H. C. Takahashi:
An incremental descent method for multi-objective optimization. - Nam Nguyen, Kwang-Chen Chen:
Quantum Embedding Search for Quantum Machine Learning. - Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alexander Tuzhilin, Dmitry Umerenkov:
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning. - Donatella Darsena, Giacinto Gelli, Ivan Iudice, Francesco Verde:
Detection and blind channel estimation for UAV-aided wireless sensor networks in smart cities under mobile jamming attack. - Achintha Ihalage, Yang Hao:
Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints. - Sébastien Labbé, Jana Lepsová:
A numeration system for Fibonacci-like Wang shifts. - Martin Hellkvist, Ayça Özçelikkale:
Model Mismatch Trade-offs in LMMSE Estimation. - Ernesto Arganda, Anibal D. Medina, Andres D. Perez, Alejandro Szynkman:
Towards a method to anticipate dark matter signals with deep learning at the LHC. - Tianqi Zheng, James Guthrie, Enrique Mallada:
Tight Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packing. - Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani:
Principal Component Hierarchy for Sparse Quadratic Programs. - Hai Van Nguyen, Tan Bui-Thanh:
Model-Constrained Deep Learning Approaches for Inverse Problems. - Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng:
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. - Ilya Morev, Bulut Tekgül, Mahmoud Gadalla, Ali Shahanaghi, Jeevananthan Kannan, Shervin Karimkashi, Ossi Kaario, Ville Vuorinen:
Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in OpenFOAM. - Khulood D. Alazwary, Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Rate Splitting in VCSEL-based Optical Wireless Networks. - Mst. Tasnim Pervin, Linmi Tao, Aminul Huq, Zuoxiang He, Li Huo:
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation. - Mustafa Akin Yilmaz, Onur Keles, Hilal Güven, Ahmet Murat Tekalp, Junaid Malik, Serkan Kiranyaz:
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression. - Lyuben Lichev, Dieter Mitsche, Lutz Warnke:
The jump of the clique chromatic number of random graphs. - Satish Vedula, Mehrzad Mohammadi Bijaieh, Ellis Oti Boateng, Olugbenga Moses Anubi:
Degradation Aware Predictive Energy Management Strategy for Ship Power Systems. - Martin Balko, David Chodounský, Jan Hubicka, Matej Konecný, Jaroslav Nesetril, Lluís Vena:
Big Ramsey degrees and forbidden cycles. - Deacon Linkhorn:
The Pseudofinite Monadic Second Order Theory of Linear Order. - Mads R. Bisgaard, Alexander Domahidi:
A risk analysis framework for real-time control systems. - Osvaldo Skliar, Sherry Gapper, Ricardo E. Monge:
A Canonical Fuzzy Logic. - Antoine Bodin, Nicolas Macris:
Rank-one matrix estimation: analytic time evolution of gradient descent dynamics. - Yu Wang, Alfred O. Hero III:
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model. - Benjamin Leinwand, Vladas Pipiras:
Block Dense Weighted Networks with Augmented Degree Correction. - Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji:
Training Speech Enhancement Systems with Noisy Speech Datasets. - Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim:
A data-driven approach to beating SAA out-of-sample. - Ryutaroh Matsumoto:
Lee Weight for Nonbinary Quantum Error Correction. - Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay:
Certainty Equivalent Quadratic Control for Markov Jump Systems. - Carlo Michele Valensise, Alessandra Serra, Alessandro Galeazzi, Gabriele Etta, Matteo Cinelli, Walter Quattrociocchi:
Entropy and complexity unveil the landscape of memes evolution. - Jinyang Guo, Dong Xu, Guo Lu:
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network. - Diego Valsesia, Enrico Magli:
Permutation invariance and uncertainty in multitemporal image super-resolution. - Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu:
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification. - Tyler H. McCormick:
The "given data" paradigm undermines both cultures. - Prajnanaswaroopa S, J. Geetha, K. Somasundaram:
Total, Equitable Total and Neighborhood sum distinguishing Total Colorings of Some Classes of Circulant Graphs. - Mohammad Khosravi, Roy S. Smith:
On Robustness of Kernel-Based Regularized System Identification. - Luís Carvalho, Gerhard Widmer:
Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification. - Petter Holme, Juan C. Rocha:
Networks of climate change: Connecting causes and consequences. - Alireza Seif, Mohammad Hafezi, Yi-Kai Liu:
Compressed Sensing Measurement of Long-Range Correlated Noise. - Christiana Chamon, Laszlo B. Kish:
Perspective - On the thermodynamics of perfect unconditional security. - Wenjie Li, Mohamad Assaad:
Distributed Zeroth-Order Stochastic Optimization in Time-varying Networks. - Thomas O. Gallouët, Quentin Mérigot, Andrea Natale:
Convergence of a Lagrangian discretization for barotropic fluids and porous media flow. - Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu:
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model. - Sergio Altares-López, Angela Ribeiro, Juan José García-Ripoll:
Automatic design of quantum feature maps. - Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha:
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations. - Luka Murn, Marc Górriz Blanch, María Santamaría, Fiona Rivera, Marta Mrak:
Towards Transparent Application of Machine Learning in Video Processing. - Juan Nelson Martínez Dahbura, Shota Komatsu, Takanori Nishida, Angelo Mele:
A Structural Model of Business Card Exchange Networks. - Vinit Kumar Chugh, Kai Wu, Venkatramana D. Krishna, Arturo di Girolamo, Robert P. Bloom, Yongqiang Andrew Wang, Renata Saha, Shuang Liang, Maxim C.-J. Cheeran, Jianping Wang:
Magnetic Particle Spectroscopy (MPS) with One-stage Lock-in Implementation for Magnetic Bioassays with Improved Sensitivities. - Margarite L. LaBorde, Mark M. Wilde:
Testing symmetry on quantum computers. - Javad Doliskani:
Efficient Quantum Public-Key Encryption From Learning With Errors. - Stephan Dahlke, Cornelia Schneider:
Regularity in Sobolev and Besov spaces for parabolic problems on domains of polyhedral type. - Elena Di Lavore, Wilmer Leal, Valeria de Paiva:
Dialectica Petri nets. - Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo:
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data. - D. Kafkes, Malachi Schram:
Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster. - Xiaoliang Wan, Kejun Tang:
Augmented KRnet for density estimation and approximation. - Paola Bacigaluppi, Julien Carlier, Marica Pelanti, Pietro Marco Congedo, Rémi Abgrall:
Assessment of a non-conservative four-equation multiphase system with phase transition. - Andrea Sportiello:
Boltzmann sampling of irreducible context-free structures in linear time. - Yuanlu Bai, Tucker Balch, Haoxian Chen, Danial Dervovic, Henry Lam, Svitlana Vyetrenko:
Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set. - Chaofan Huang, Simin Ma, Shihao Yang:
MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics. - Omer Bobrowski, Dmitri Krioukov:
Random Simplicial Complexes: Models and Phenomena. - Jilei Yang, Diana M. Negoescu, Parvez Ahammad:
Intellige: A User-Facing Model Explainer for Narrative Explanations. - Danijela Protic, Miomir Stankovic:
The q-Gauss-Newton method for unconstrained nonlinear optimization. - Subhayan De, Alireza Doostan:
Neural Network Training Using 𝓁1-Regularization and Bi-fidelity Data. - Qinjing Qiu, Reiichiro Kawai:
Weak approximation for stochastic differential equations with jumps by iteration and hard bounds. - Dario Izzo, Pablo Gómez:
Geodesy of irregular small bodies via neural density fields: geodesyNets. - Andrea Fronzetti Colladon, Francesca Grippa:
The importance of being honest: Correlating self-report accuracy and network centrality with academic performance. - Laxman Kumarapu, Shiv Ram Dubey, Baddam Kalyan, Satya Raj Vineel Kojjarapu:
Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net. - Matteo Torcoli:
An Improved Measure of Musical Noise Based on Spectral Kurtosis. - Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization. - Nicolas Keriven, Alberto Bietti, Samuel Vaiter:
On the Universality of Graph Neural Networks on Large Random Graphs. - Danny D'Agostino, Andrea Serani, Frederick Stern, Matteo Diez:
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State. - Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu:
BioNavi-NP: Biosynthesis Navigator for Natural Products. - Sanguk Park, Minyoung Chung:
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions. - Francesca Ceragioli, Paolo Frasca, Benedetto Piccoli, Francesco Rossi:
Generalized solutions to opinion dynamics models with discontinuities. - Matías R. Bender, Jean-Charles Faugère, Angelos Mantzaflaris, Elias P. Tsigaridas:
Koszul-type determinantal formulas for families of mixed multilinear systems. - Alina L. Machidon, Veljko Pejovic:
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference - A Ubiquitous Systems Perspective. - Weijian Liu, Zhaojian Zhang, Jun Liu, Zheran Shang, Yong-Liang Wang:
Detection of a rank-one signal with limited training data. - Vahid Jamali, Hedieh Ajam, Marzieh Najafi, Bernhard Schmauss, Robert Schober, H. Vincent Poor:
Intelligent Reflecting Surface-assisted Free-space Optical Communications. - Zhiqi Bu, Jason M. Klusowski, Cynthia Rush, Weijie J. Su:
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit. - Sheng Zhang, Puhan Zhang, Gia-Wei Chern:
Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model. - Timothy DeLise:
Neural Options Pricing. - Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. - Stephan Dahlke, Cornelia Schneider:
Besov regularity of non-linear parabolic PDEs on non-convex polyhedral domains. - Jeremiah Scully, Ronan Flynn, Eoin Carley, Peter T. Gallagher, Mark Daly:
Type III solar radio burst detection and classification: A deep learning approach. - Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke:
Model Selection for Production System via Automated Online Experiments. - Ghasem Akbari, Nader Montazerin:
Flow based features and validation metric for machine learning reconstruction of PIV data. - Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens:
Non-negative matrix factorization algorithms greatly improve topic model fits. - Thomas Jüngling, Thomas Lymburn, Michael Small:
Consistency capacity of reservoir computers. - Manuel Ntumba, Saurabh Gore:
Avancee-1 Mission and SaDoD Method: LiDAR-based stimulated atomic disintegration of space debris (SaDoD) using Optical Neural Networks. - Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo:
Lattice partition recovery with dyadic CART. - Ahmed Aboutaleb, Nitin Nangare:
Reduced Complexity Neural Network Equalizers for Two-dimensional Magnetic Recording. - Bing Bai, Jianyao Huang, Guan-Ru Qiao, You-Qi Nie, Weijie Tang, Tao Chu, Jun Zhang, Jian-Wei Pan:
18.8 Gbps real-time quantum random number generator with a photonic integrated chip. - Zeeshan Ahmad, Anika Tabassum, Naimul Mefraz Khan, Ling Guan:
ECG Heart-beat Classification Using Multimodal Image Fusion. - Jiayu Shang, Yanni Sun:
Detecting the hosts of bacteriophages using GCN-based semi-supervised learning. - Gal Yehuda, Amir Yehudayoff:
A lower bound for essential covers of the cube. - Shanshan Wang, Toni Heittola, Annamaria Mesaros, Tuomas Virtanen:
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions. - Bingze Yan, Qiong Li, Haokun Mao, Nan Chen:
An efficient hybrid hash based privacy amplification algorithm for quantum key distribution. - Kieran Wood, Stephen J. Roberts, Stefan Zohren:
Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection. - Youri Raaijmakers, Sem C. Borst, Onno J. Boxma:
Fork-join and redundancy systems with heavy-tailed job sizes. - Aleksej Chinaev, Sven Wienand, Gerald Enzner:
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks. - Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation recognition models. - Burcu Oltu, Büsra Kübra Karaca, Hamit Erdem, Atilla Özgür:
A systematic review of transfer learning based approaches for diabetic retinopathy detection. - Fan Wu, Patrick Rebeschini:
Implicit Regularization in Matrix Sensing via Mirror Descent. - Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. - Hakop Hakopian, Harutyun Kloyan, Davit Voskanyan:
On plain algebraic curves passing through n-independent nodes. - Songxiang Liu, Yuewen Cao, Dan Su, Helen Meng:
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion. - Jaydip Sen, Sidra Mehtab, Abhishek Dutta:
Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH. - Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta:
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. - Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett:
Discretization Drift in Two-Player Games. - Guang Chen:
DMInet: An Accurate and Highly Flexible Deep Learning Framework for Drug Discovery with Membrane Selectivity. - Steve Abel, Andrew Blance, Michael Spannowsky:
Quantum Optimisation of Complex Systems with a Quantum Annealer. - Ryo Sato, Mirai Tanaka, Akiko Takeda:
A Gradient Method for Multilevel Optimization. - Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng:
ScalingNet: extracting features from raw EEG data for emotion recognition. - Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. - Jérôme Darbon, Tingwei Meng, Elena Resmerita:
On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise. - Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone:
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations. - Shih-Ting Huang, Johannes Lederer:
DeepMoM: Robust Deep Learning With Median-of-Means. - Xiaoning Bian, Peter Selinger:
Generators and relations for Un(Z[½, i]). 145-164 - Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nürnberger, Oliver Speck:
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models. - Weiming Xiang:
Necessary and Sufficient Conditions for Stability of Discrete-Time Switched Linear Systems with Ranged Dwell Time. - Kevin M. Chu, Leslie M. Collins, Boyla O. Mainsah:
Assessing the intelligibility of vocoded speech using a remote testing framework. - Kevin M. Chu, Leslie M. Collins, Boyla O. Mainsah:
Phoneme-Based Ratio Mask Estimation for Reverberant Speech Enhancement in Cochlear Implant Processors. - Sergey S. Ketkov, Andrei S. Shilov, Oleg A. Prokopyev:
Data-Driven Combinatorial Optimization with Incomplete Information: a Distributionally Robust Optimization Approach. - Alexander L. Stolyar:
Parallel server systems with cancel-on-completion redundancy. - Mario Ignacio González Silva, Ricardo Armando González Silva, Héctor Alfonso Juárez López, Antonio Aguilera Ontiveros:
A mechanism of Individualistic Indirect Reciprocity with internal and external dynamics. - Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
The query complexity of sampling from strongly log-concave distributions in one dimension. - Michael L. Overton:
Local Minimizers of the Crouzeix Ratio: A Nonsmooth Optimization Case Study. - Pranay Manocha, Anurag Kumar, Buye Xu, Anjali Menon, Israel D. Gebru, Vamsi K. Ithapu, Paul Calamia:
DPLM: A Deep Perceptual Spatial-Audio Localization Metric. - Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo:
Prediction error quantification through probabilistic scaling. - Chao Wu, Mohammad Khishe, Mokhtar Mohammadi, Sarkhel H. Taher Karim, Tarik A. Rashid:
Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images. - Nikolay Ivanov, Qiben Yan:
Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization. - Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, Kosuke Imai:
The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis. - Fan Hu, Lei Wang, Yishen Hu, Dongqi Wang, Weijie Wang, Jianbing Jiang, Nan Li, Peng Yin:
A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe. - Giulia Bertaglia, Lorenzo Pareschi:
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: application to the emergence of Covid-19 in Italy. - Botao Hao, Tor Lattimore, Wei Deng:
Information Directed Sampling for Sparse Linear Bandits. - Haozhe Shan, Blake Bordelon:
Rapid Feature Evolution Accelerates Learning in Neural Networks. - Da Zhang, Qingyi Wang, Shaojie Song, Simiao Chen, Mingwei Li, Lu Shen, Siqi Zheng, Bofeng Cai, Shenhao Wang:
Estimating air quality co-benefits of energy transition using machine learning. - Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li:
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. - Ye Tian, Yang Feng:
Transfer Learning under High-dimensional Generalized Linear Models. - Dinesh J, Mohammed Rhithick A:
Covid-19 diagnosis from x-ray using neural networks. - Gianluca Gerard, Marco Piastra:
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images. - Mohsen Shahhosseini, Guiping Hu, Saeed Khaki, Sotirios V. Archontoulis:
Corn Yield Prediction with Ensemble CNN-DNN. - Zhengying Lou, Ahmed Elzanaty, Mohamed-Slim Alouini:
Green Tethered UAVs for EMF-Aware Cellular Networks. - Mikhail Belkin:
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation. - Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca:
Ten Quick Tips for Deep Learning in Biology. - Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour:
On Centralized and Distributed Mirror Descent: Exponential Convergence Analysis Using Quadratic Constraints. - Daniel Ferguson, François G. Meyer:
The Sample Fréchet Mean of Sparse Graphs is Sparse. - Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. - Dario Fasino, Arianna Tonetto, Francesco Tudisco:
Hitting times for non-backtracking random walks. - Masahito Hayashi, Ángeles Vázquez-Castro:
Computation-aided classical-quantum multiple access to boost network communication speeds. - Chun Fan, Yuxian Meng, Xiaofei Sun, Fei Wu, Tianwei Zhang, Jiwei Li:
Parameter Estimation for the SEIR Model Using Recurrent Nets. - Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas:
Scalable and Interpretable Marked Point Processes. - Gourab Ghatak, Hardhik Mohanty, Aniq Ur Rahman:
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits. - Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li:
Sparse Uncertainty Representation in Deep Learning with Inducing Weights. - (Withdrawn) Square Kilometre Array : Processing Voluminous MeerKAT Data on IRIS.
- Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber:
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing. - Akshay J. Dave, Jiankai Yu, Jarod Wilson, Bren Phillips, Kaichao Sun, Benoit Forget:
Empirical Models for Multidimensional Regression of Fission Systems. - Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi:
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. - Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li:
Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease. - Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Pengbo Liu, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou:
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography. - Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation. - Bangti Jin, Zhi Zhou:
Recovering the Potential in One-Dimensional Time-Fractional Diffusion with Unknown Initial Condition and Source. - Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. - Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy S. Ren, Zhaoxiang Ye:
Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network. - Dong Hwan Lee, Do Wan Kim:
Multi-Objective LQG Design with Primal-Dual Method. - Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. - Simone Limonta, Mirko Trisolini, Stefan Frey, Camilla Colombo:
Fragmentation model and strewn field estimation for meteoroids entry. - Wencheng Li:
Speaker Identification from Raw Waveform with LineNet. - Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran:
Refined Deep Neural Network and U-Net for Polyps Segmentation. - Alexander Camuto, Matthew Willetts:
Variational Autoencoders: A Harmonic Perspective. - Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoît, Gilles Maurin, Patrick Lambert, Giovanni Lamanna:
First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning. - Thabang Lebese, Bruce Mellado, Xifeng Ruan:
The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC. - Bahjat Kawar, Gregory Vaksman, Michael Elad:
SNIPS: Solving Noisy Inverse Problems Stochastically. - Vinícius Loti de Lima, Manuel Iori, Flávio Keidi Miyazawa:
Exact solution of network flow models with strong relaxations. - Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun:
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information. - Mohammad Eslami, Solale Tabarestani, Malek Adjouadi:
Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction. - Navid Nasr Esfahani, Douglas R. Stinson:
Asymmetric All-or-nothing Transforms. - Ziping Xu, Ambuj Tewari:
Representation Learning Beyond Linear Prediction Functions. - Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. - Xiaoyu Chen, Weiming Feng, Yitong Yin, Xinyuan Zhang:
Rapid mixing of Glauber dynamics via spectral independence for all degrees. - Fei Tang, Michael Kopp:
A remark on a paper of Krotov and Hopfield [arXiv: 2008.06996]. - Hao Zhang, Fuhui Zhou, Qihui Wu, Wei Wu, Rose Qingyang Hu:
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks. - Hugo Lhachemi, Robert Shorten:
Boundary Output Feedback Stabilization of State Delayed Reaction-Diffusion PDEs. - Cheng Mao, Alexander S. Wein:
Optimal Spectral Recovery of a Planted Vector in a Subspace. - Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie:
Prediction of soft proton intensities in the near-Earth space using machine learning. - Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang:
Policies for the Dynamic Traveling Maintainer Problem with Alerts. - Magdalena Jankowska, Lukasz Matysiak:
A polynomial composites and monoid domains as algebraic structures and their applications. - Aciel Eshky, Joanne Cleland, Manuel Sam Ribeiro, Eleanor Sugden, Korin Richmond, Steve Renals:
Automatic audiovisual synchronisation for ultrasound tongue imaging. - Pietro Gravino, Giulio Prevedello, Martina Galletti, Vittorio Loreto:
Assessing disinformation through the dynamics of supply and demand in the news ecosystem. - Shicong Cen, Yuting Wei, Yuejie Chi:
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. - Victor Chernozhukov, Whitney K. Newey, Rahul Singh:
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees. - Dávid Terjék, Diego González-Sánchez:
Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm. - Sven Puchinger, Johan Rosenkilde, Grigory Solomatov:
Improved Power Decoding of Algebraic Geometry Codes. - Sung Hyuck Hong, Jaeyong Park, Sung-Jin Kim, Junil Choi:
Hybrid Beamforming for Intelligent Reflecting Surface Aided Millimeter Wave MIMO Systems. - Jonathan Dumas, Colin Cointe, Antoine Wehenkel, Antonio Sutera, Xavier Fettweis, Bertrand Cornélusse:
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. - Pu Gao, Calum MacRury, Pawel Pralat:
Perfect Matchings in the Semi-random Graph Process. - Priyadarshi Mukherjee, Constantinos Psomas, Ioannis Krikidis:
Differential Chaos Shift Keying-based Wireless Power Transfer with Nonlinearities. - Xuan Zhou, Shuangxin He, Leiting Dong, Satya N. Atluri:
Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin.
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