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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.