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ORCIDCoRR, October 2021
- Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi:
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases. - Turgay Pamuklu, Shahram Mollahasani, Melike Erol-Kantarci:
Energy-Efficient and Delay-Guaranteed Joint Resource Allocation and DU Selection in O-RAN. - Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, Anirudh Patel, James Pagan, Kyle A. Williams, Sam Green, Anirban Mazumdar, Julie Parish:
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces. - Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SpliceOut: A Simple and Efficient Audio Augmentation Method. - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. - Erik D. Demaine, Maarten Löffler, Christiane Schmidt:
Rectangular Spiral Galaxies are Still Hard. - Xi Jiang, Noah J. Apthorpe:
Automating Internet of Things Network Traffic Collection with Robotic Arm Interactions. - Brandon Smock, Rohith Pesala, Robin Abraham:
PubTables-1M: Towards comprehensive table extraction from unstructured documents. - Ali KhalilianMotamed Bonab, Volkan Patoglu:
Simulation-based multi-criteria comparison of mono-articular and bi-articular exoskeletons during walking with and without load. - Hao Guo, Behrooz Makki, Tommy Svensson:
Velocity-aware Antenna Selection in Predictor Antenna Systems. - Weize Zhang, Peyman Yadmellat, Zhiwei Gao:
A Sufficient Condition for Convex Hull Property in General Convex Spatio-Temporal Corridors. - Lilia Krivodonova, Alexey Smirnov:
On the TVD property of second order methods for 2D scalar conservation laws. - Haoxiang Yu, Jie Hua, Christine Julien:
Dataset: Analysis of IFTTT Recipes to Study How Humans Use Internet-of-Things (IoT) Devices. - Cagri Toraman, Furkan Sahinuç, Eyup Halit Yilmaz:
What Happened in Social Media during the 2020 BLM Movement? An Analysis of Deleted and Suspended Users in Twitter. - Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. - Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier, Fariba Karimi:
Inequality and Inequity in Network-based Ranking and Recommendation Algorithms. - Jacob Evald, Viktor Fredslund-Hansen, Christian Wulff-Nilsen:
Near-Optimal Distance Oracles for Vertex-Labeled Planar Graphs. - Matteo Nerini, Bruno Clerckx:
Reconfigurable Intelligent Surfaces Based on Single, Group, and Fully Connected Discrete-Value Impedance Networks. - Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates:
Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. - Jingwei Li:
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series. - Yusuke Tanaka, Yuki Shirai, Zachary Lacey, Xuan Lin, Jane Liu, Dennis W. Hong:
An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights. - Ido Czerninski, Yoav Y. Schechner:
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths. - Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani:
On the Trustworthiness of Tree Ensemble Explainability Methods. - Haoping Xu, Yi Ru Wang, Sagi Eppel, Alán Aspuru-Guzik, Florian Shkurti, Animesh Garg:
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects. - Nasimeh Heydaribeni, Ketan Savla:
Information Design for a Non-atomic Service Scheduling Game. - Simon Streicher
, Johan A. du Preez:
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm. - Luciano Gavoni:
RFID Exploitation and Countermeasures. - Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. - Nariman Torkzaban, Mohammad Ali Amir Khojastepour:
Shaping mmWave Wireless Channel via Multi-Beam Design using Reconfigurable Intelligent Surfaces. - Mordechai Guri:
LANTENNA: Exfiltrating Data from Air-Gapped Networks via Ethernet Cables. - Elahe Vahdani, Yingli Tian:
Deep Learning-based Action Detection in Untrimmed Videos: A Survey. - Juliane B. S. dos Santos, Paulo Ricardo Knob, Victor Putrich Scherer, Soraia Raupp Musse:
Is my agent good enough? Evaluating Embodied Conversational Agents with Long and Short-term interactions. - Jacqueline Comer, Sam Work, Kory W. Mathewson, Lana Cuthbertson, Kasey Machin:
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics. - Bruce Spang, Veronica Hannan, Shravya Kunamalla, Te-Yuan Huang, Nick McKeown, Ramesh Johari:
Unbiased Experiments in Congested Networks. - Jae Shin Yoon, Zhixuan Yu, Jaesik Park, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. - Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu:
Emergence of Theory of Mind Collaboration in Multiagent Systems. - Federico Ruggeri, Marco Lippi, Paolo Torroni:
Tree-Constrained Graph Neural Networks For Argument Mining. - Federico Ruggeri, Marco Lippi, Paolo Torroni:
MemBERT: Injecting Unstructured Knowledge into BERT. - Amanda Adkins, Joydeep Biswas:
Probabilistic Object Maps for Long-Term Robot Localization. - Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. - Zhenyao Liu, Jen-Hsuan Chen, Shi-Yi Tan, Wei-Chang Yeh:
A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem. - Jorge L. Suzuki, Tyler G. Tuttle, Sara Roccabianca, Mohsen Zayernouri:
A Data-Driven Memory-Dependent Modeling Framework for Anomalous Rheology: Application to Urinary Bladder Tissue. - Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis:
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. - Marilene Oliver, Gary James Joynes, Kumar Punithakumar, Peter Seres:
Deep Connection: Making Virtual Reality Artworks with Medical Scan Data. - Zarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, Timofey Bryksin:
The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data. - Cinzia Di Giusto, Loïc Germerie Guizouarn, Étienne Lozes:
Towards Generalised Half-Duplex Systems. 22-37 - Bas van den Heuvel, Jorge A. Pérez:
Deadlock Freedom for Asynchronous and Cyclic Process Networks. 38-56 - Maurice Laveaux, Tim A. C. Willemse:
Decomposing Monolithic Processes in a Process Algebra with Multi-actions. 57-76 - Hugh L. Kennedy:
On the design of fixed-gain tracking filters by pole placement: Or an introduction to applied signals-and-systems theory for engineers. - Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. - Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, Ngan Luu-Thuy Nguyen:
Span Labeling Approach for Vietnamese and Chinese Word Segmentation. - Joseph Marvin Imperial, Ethel Ong:
Under the Microscope: Interpreting Readability Assessment Models for Filipino. - Cem Kalkanli, Ayfer Özgür:
Asymptotic Performance of Thompson Sampling in the Batched Multi-Armed Bandits. - Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. - Arpit Agarwal:
Machine learning models for prediction of droplet collision outcomes. - Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, Mac Schwager:
Vision-Only Robot Navigation in a Neural Radiance World. - Carlos Toxtli, Siddharth Suri, Saiph Savage:
Quantifying the Invisible Labor in Crowd Work. - Zeguan Xiao, Jiarun Wu, Qingliang Chen, Congjian Deng:
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification. - Dongliang Zheng, Panagiotis Tsiotras:
Batch Belief Trees for Motion Planning Under Uncertainty. - Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold:
Empirical Quantitative Analysis of COVID-19 Forecasting Models. - Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. - Ankit Agrawal, Jane Cleland-Huang:
RescueAR: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems. - Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. - Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe:
An Attempt to Generate Code for Symmetric Tensor Computations. - Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang:
Offline Reinforcement Learning with Reverse Model-based Imagination. - Qiao Lan, Dingzhu Wen, Zezhong Zhang, Qunsong Zeng, Xu Chen, Petar Popovski, Kaibin Huang:
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence. - Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Update in Unit Gradient. - Jun Xu:
Error-free approximation of explicit linear MPC through lattice piecewise affine expression. - Cem Kalkanli, Ayfer Özgür:
Batched Thompson Sampling. - Soheil Zabihi, Elahe Rahimian, Soumya Sharma, Sean K. Sethi, Sara Gharabaghi, Amir Asif, E. Mark Haacke, Mandar S. Jog, Arash Mohammadi:
Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis. - Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. - Arjuna Weerasinghe, Zhenyu Zhao, Fei Fan, Pengfei Tu, Kye Yak See:
In-Circuit Differential-Mode Impedance Extraction at the AC Input of a Motor Drive System. - Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. - Ahmet Faruk Budak, Prateek Bhansali, Bo Liu, Nan Sun, David Z. Pan, Chandramouli V. Kashyap:
DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks. - Kazuo Yonekura, Nozomu Miyamoto, Katsuyuki Suzuki:
Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp. - Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani:
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework. - Sobhan Hemati, Hamid R. Tizhoosh:
Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing. - Rui Huang, Andrew Geng, Yixuan Li:
On the Importance of Gradients for Detecting Distributional Shifts in the Wild. - Jun Oh Jang:
Neural Networks Compensation of Systems with Multi-segment Piecewise Linear Nonlinearities. - Aljaz Zrnec, Marko Pozenel, Dejan Lavbic:
Users' ability to perceive misinformation: An information quality assessment approach. - Meenakshi Sanyal, Somenath Chakraborty:
Enhanced Multigradient Dilution Preparation. - Ashkan Jasour, Weiqiao Han, Brian Charles Williams:
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. - Tobias Haugg, Mohammad Fazel Soltani, Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Simulation-based Evaluation of a Synchronous Transaction Model for Time-Sensitive Software-Defined Networks. - Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok:
Improving Object Permanence using Agent Actions and Reasoning. - (Withdrawn) Data-Efficient Instance Segmentation with a Single GPU.
- Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li, Xianyi Zeng, Khaled Benzaidi:
Lightweight Transformer in Federated Setting for Human Activity Recognition. - Chabane Khentout, Khadidja Harbouche, Mahieddine Djoudi:
Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid. - Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection. - Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran, Phyo May Thet, Videet Singhai, Jun Seung You:
A Step Towards On-Path Security Function Outsourcing. - C. Tanner Fredieu, Anthony F. Martone, R. Michael Buehrer:
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models. - Ioannis Caragiannis, Karl Fehrs:
The Complexity of Learning Approval-Based Multiwinner Voting Rules. - Yan Xia, Linhui Jiang, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, Shaocai Yu:
Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning. - Xin Feng, Wenjie Pei, Fengjun Li, Fanglin Chen, David Zhang, Guangming Lu:
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting. - Eric Bezzam, Sepand Kashani, Paul Hurley, Matthieu Simeoni:
pyFFS: A Python Library for Fast Fourier Series Computation. - Yunfeng Hou, Qingdu Li, Yunfeng Ji, Gang Wang:
New Approaches for Verification of Delay Coobservability of Discrete Event Systems. - Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. - Jian Yang, Gang Xiao, Yulong Shen, Wei Jiang, Xinyu Hu, Ying Zhang, Jinghui Peng:
A Survey of Knowledge Enhanced Pre-trained Models. - S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. - Hriday Bavle, José Luis Sánchez-López, Eduardo F. Schmidt, Holger Voos:
From SLAM to Situational Awareness: Challenges and Survey. - Shahriar Ebrahimi, Parisa Hasanizadeh, Seyed Mohammad Aghamirmohammadali, Amirali Akbari:
Enhancing Cold Wallet Security with Native Multi-Signature schemes in Centralized Exchanges. - Kristijan Bartol, David Bojanic, Tomislav Petkovic, Tomislav Pribanic:
Stochastic Modeling for Learnable Human Pose Triangulation. - Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. - Giorgos Stamatelatos, Pavlos S. Efraimidis:
Whole Sampling Generation of Scale-Free Graphs. - Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland:
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework. - Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint:
Discovering care pathways for multi-morbid patients using event graphs. - Nour Dahmen, Jérôme Droniou, François Rogier:
A cost-effective nonlinear extremum-preserving finite volume scheme for highly anisotropic diffusion on Cartesian grids, with application to radiation belt dynamics. - Efthymios Karangelos, Louis Wehenkel:
Cyber-physical risk modeling with imperfect cyber-attackers. - Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. - Thomas Falconer, Letif Mones:
Leveraging power grid topology in machine learning assisted optimal power flow. - Giovanni Colavizza, Silvio Peroni, Matteo Romanello:
The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities. - Youngjoo Kim, Alexandru C. Telea, Scott C. Trager, Jos B. T. M. Roerdink:
Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction. - Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan:
MATE: Multi-Attribute Table Extraction. - Chenlin Hang, Tetsuo Ono, Seiji Yamada:
Designing nudge agents that promote human altruism. - Eric McCormick, Haoxiang Lang, Clarence W. de Silva:
Dynamic Modeling and Simulation of a Four-wheel Skid-Steer Mobile Robot using Linear Graphs. - Stefan Kiefer, Qiyi Tang:
Approximate Bisimulation Minimisation. - Eryk Kopczynski, Dorota Celinska-Kopczynska:
Navigating Higher Dimensional Spaces using Hyperbolic Geometry. - Zheng Li, Xiang Li, Lingfeng Yang, Jian Yang, Zhigeng Pan:
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation. - Hong Zhu, Ian Bayley:
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing. - Chi Wang, Yulin Shen, Luping Ji:
Geometry Attention Transformer with Position-aware LSTMs for Image Captioning. - Ameya Pore, Eleonora Tagliabue, Marco Piccinelli, Diego Dall'Alba, Alicia Casals, Paolo Fiorini:
Learning from Demonstrations for Autonomous Soft-tissue Retraction. - Francesco Paissan, Alberto Ancilotto, Elisabetta Farella:
PhiNets: a scalable backbone for low-power AI at the edge. - Ni Zhang, Junwei Han, Nian Liu, Ling Shao:
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. - Akshay Dhonthi, Philipp Schillinger, Leonel Dario Rozo, Daniele Nardi:
Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization. - Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi:
BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks. - Apostolos I. Rikos, Christoforos N. Hadjicostis, Karl Henrik Johansson:
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks. - Maria Papoutsoglou, Georgia M. Kapitsaki, Daniel M. Germán, Lefteris Angelis:
An analysis of open source software licensing questions in Stack Exchange sites. - Mihai Oltean:
Multi Expression Programming - an in-depth description. - Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada:
Fully Spiking Variational Autoencoder. - Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho, Howard Leung:
GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction. - Shiv Shankar:
Neural Dependency Coding inspired Multimodal Fusion. - Kim Thang Nguyen, Christoph Dürr:
Online Primal-Dual Algorithms with Predictions for Packing Problems. - Bingzhao Zhu, Mahsa Shoaran:
Tree in Tree: from Decision Trees to Decision Graphs. - Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan:
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. - Lorenzo Valerio, Raffaele Bruno, Andrea Passarella:
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning. - Valeria Henríquez, Ana María Moreno, José Antonio Calvo-Manzano, Tomás San Feliu:
Agile-CMMI Alignment: CMMI V2.0 Contributions and To-dos for Organizations. - (Withdrawn) Evaluating Susceptibility of VPN Implementations to DoS Attacks Using Adversarial Testing.
- Teemu Lehto, Johan Myrberger, Apoorva Pandey:
Continuous Compliance using Calculated Event Log Layers. - François Demoures, François Gay-Balmaz:
Unified discrete multisymplectic Lagrangian formulation for hyperelastic solids and barotropic fluids. - Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. - Sangwoo Park, Osvaldo Simeone:
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation. - Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller:
Optimization Networks for Integrated Machine Learning. - Sundesh Gupta, Aditya Shah, Miten Shah, Laribok Syiemlieh, Chandresh Maurya:
FiLMing Multimodal Sarcasm Detection with Attention. - Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu:
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets. - Xuanting Cai, Quanbin Ma, Pan Li, Jianyu Liu, Qi Zeng, Zhengkan Yang, Pushkar Tripathi:
A Web Scale Entity Extraction System. - Siqi Zhang, Na Yi, Yi Ma:
Correlation-Based Device Energy-Efficient Dynamic Multi-Task Offloading for Mobile Edge Computing. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Social Media with Hierarchical Adversarial Training. - Jinwoo Nam, Daechul Ahn, Dongyeop Kang, Seong Jong Ha, Jonghyun Choi:
Zero-shot Natural Language Video Localization. - Thomas Cohn, Nikhil Devraj, Odest Chadwicke Jenkins:
Topologically-Informed Atlas Learning. - Zied Baklouti:
External knowledge transfer deployment inside a simple double agent Viterbi algorithm. - Vedrana Krivokuca Hahn, Sébastien Marcel:
Towards Protecting Face Embeddings in Mobile Face Verification Scenarios. - Vishvajit Bakarola, Jitendra Nasriwala:
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages - A case of Sanskrit to Hindi. - Vladislav Kurenkov, Bulat Maksudov:
Guiding Evolutionary Strategies by Differentiable Robot Simulators. - Florian Fischer, Arthur Fleig, Markus Klar, Jörg Müller:
Optimal Feedback Control for Modeling Human-Computer Interaction. - Fernando Lucatelli Nunes, Matthijs Vákár:
CHAD for Expressive Total Languages. - Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs:
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. - François Rozet, Gilles Louppe:
Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference. - Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang:
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System. - Federico Tavella, Aphrodite Galata, Angelo Cangelosi:
Phonology Recognition in American Sign Language. - Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. - Guin Gilman, Robert J. Walls:
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads. - Thang Xuan Duong, Mikhail Itskov, Roger Andrew Sauer:
A general isogeometric finite element formulation for rotation-free shells with embedded fibers and in-plane bending. - Primoz Godec, Nikola Ðukic, Ajda Pretnar, Vesna Tanko, Lan Zagar, Blaz Zupan:
Explainable Point-Based Document Visualizations. - Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. - Mihai Oltean:
New Evolutionary Computation Models and their Applications to Machine Learning. - Jahongir Yunusov, Shohruh Rakhmatov, Abdulaziz Namozov, Abdulaziz Gaybulayev, Tae-Hyong Kim:
Instance Segmentation Challenge Track Technical Report, VIPriors Workshop at ICCV 2021: Task-Specific Copy-Paste Data Augmentation Method for Instance Segmentation. - Luis Olsina, María Fernanda Papa, Guido Tebes, Pablo Becker:
Designing Quality Requirements, Metrics and Indicators for Core Ontologies: Results of a Comparative Study for Process Core Ontologies. - Anaïs Halin, Jacques G. Verly, Marc Van Droogenbroeck:
Survey and synthesis of state of the art in driver monitoring. - Ross Wightman, Hugo Touvron, Hervé Jégou:
ResNet strikes back: An improved training procedure in timm. - Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. - Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction. - Kevin Köser, Yifan Song, Lasse Petersen, Emanuel Wenzlaff, Felix Woelk:
Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains. - Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro Jose Ordóñez Conejo, Sandra Hirche:
Personalized Rehabilitation Robotics based on Online Learning Control. - Ali Hassani, Abbas Bataleblu, S. A. Khalilpour, Hamid D. Taghirad, Philippe Cardou:
Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes. - Shahram Mollahasani, Melike Erol-Kantarci, Rodney Wilson:
Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning. - Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger:
Probabilistic Robust Autoencoders for Anomaly Detection. - Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu:
Fixed-Parameter Algorithms for Longest Heapable Subsequence and Maximum Binary Tree. - Tabitha C. Peck, Kyla A. McMullen, John Quarles:
DiVRsify: Break the Cycle and Develop VR for Everyone. - Rajan Udwani:
Adwords with Unknown Budgets. - N. DiBrita, Khouloud Eledlebi, Hanno Hildmann, L. Culley, Abdel F. Isakovic:
Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks During Optimization. - Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman:
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. - Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. - George T. Cantwell, Cristopher Moore:
Belief propagation for permutations, rankings, and partial orders. - N. Sukumar, Michael R. Tupek:
Virtual elements on agglomerated finite elements to increase the critical time step in elastodynamic simulations. - Nils Barlaug:
LEMON: Explainable Entity Matching. - Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm:
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. - Chun-Wei Yang, Thanh Hai Phung, Hong-Han Shuai, Wen-Huang Cheng:
Mask or Non-Mask? Robust Face Mask Detector via Triplet-Consistency Representation Learning. - Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning. - Tom George Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb:
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? - Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Unsupervised Motion Representation Learning with Capsule Autoencoders. - Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi:
A survey on datasets for fairness-aware machine learning. - Belhal Karimi, Xiaoyun Li, Ping Li:
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. - Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür:
TEACh: Task-driven Embodied Agents that Chat. - Owe Axelsson, Maeddeh Pourbagher, Davod Khojasteh Salkuyeh:
Robust iteration methods for complex systems with an indefinite matrix term. - Jason Ramapuram, Dan Busbridge, Russ Webb:
Evaluating the fairness of fine-tuning strategies in self-supervised learning. - Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang:
Applying Differential Privacy to Tensor Completion. - Brian Acosta, William Yang, Michael Posa:
Validating Robotics Simulators on Real World Impacts. - Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks. - Praneet C. Bala, Jan Zimmermann, Hyun Soo Park, Benjamin Y. Hayden:
Self-supervised Secondary Landmark Detection via 3D Representation Learning. - Armand Comas Massague, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps:
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective. - Walter Didimo, Michael Kaufmann, Giuseppe Liotta, Giacomo Ortali:
Spirality and Rectilinear Planarity Testing of Independent-Parallel SP-Graphs. - Siyu Chen, Dengjie Li, Lishuai Gao, Fan Liang, Wei Zhang, Lin Ma:
Video Temporal Relationship Mining for Data-Efficient Person Re-identification. - Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb:
Stochastic Contrastive Learning. - A. Lee Swindlehurst, Gui Zhou, Rang Liu, Cunhua Pan, Ming Li:
Channel Estimation with Reconfigurable Intelligent Surfaces - A General Framework. - Troy Shilt, Patrick O'Hara, Jack J. McNamara:
High-resolution solutions of nonlinear, advection-dominated problems using a generalized finite element method. - Alexander J. Gallo, Sribalaji Coimbatore Anand, André M. H. Teixeira, Riccardo M. G. Ferrari:
Design of multiplicative watermarking against covert attacks. - Adrian Groza, Cristian Nitu:
Natural language understanding for logical games. - Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver:
Improving Punctuation Restoration for Speech Transcripts via External Data. - Florian Chudigiewitsch:
Computational Complexity of Deciding Provability in Linear Logic and its Fragments. - Chi-Ken Lu, Patrick Shafto:
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. - Zhong-Qiu Wang, Gordon Wichern, Jonathan Le Roux:
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement. - Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. - Jingwei Zuo, Karine Zeitouni, Yehia Taher:
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series. - Giuseppe Ng, Charibeth Cheng:
The Need for a Fine-grained approach in Just-in-Time Defect Prediction. - Erfan Aasi, Cristian Ioan Vasile, Mahroo Bahreinian, Calin Belta:
Classification of Time-Series Data Using Boosted Decision Trees. - Mikaela Irene D. Fudolig, Thayer Alshaabi, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds:
Sentiment and structure in word co-occurrence networks on Twitter. - Davide Barbieri:
Reconstructing group wavelet transform from feature maps with a reproducing kernel iteration. - Jan Philipp Albrecht, Deborah Schmidt, Kyle Harrington:
Album: a framework for scientific data processing with software solutions of heterogeneous tools. - Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood:
Algorithm Fairness in AI for Medicine and Healthcare. - Kenny Chen, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Ankur Mehta:
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds. - Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Expected Validation Performance and Estimation of a Random Variable's Maximum. - Hajar Hasannejadasl, Cheryl Roumen, Henk van der Poel, Ben G. L. Vanneste, Joep G. van Roermund, Katja Aben, Petros Kalendralis, Biche Osong, Lambertus Kiemeney, Inge M. van Oort, Renée Verwey, Laura Hochstenbach, Esther Bloemen-van Gurp, Andre Dekker, Rianne Fijten:
Predicting erectile dysfunction after treatment for localized prostate cancer. - Sunil Kumar, Akshat Gupta, Vivek Kumar, Sridutt Bhalachandra:
Cuttlefish: Library for Achieving Energy Efficiency in Multicore Parallel Programs. - Sarupa Debnath, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson, Jinfeng Liu:
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity. - Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black:
SPEC: Seeing People in the Wild with an Estimated Camera. - Necva Bölücü, Burcu Can:
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing. - Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Calibrated Adversarial Training. - Guojing Cong, Tianyi Liu:
Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum. - Chloe Perry, Simon DeDeo:
The Cognitive Science of Extremist Ideologies Online. - Jiaojiao Fan, Isabel Haasler, Johan Karlsson, Yongxin Chen:
On the complexity of the optimal transport problem with graph-structured cost. - Oliver Michel, Roberto Bifulco, Gábor Rétvári, Stefan Schmid:
The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications. - Ziv Scully, Isaac Grosof, Michael Mitzenmacher:
Uniform Bounds for Scheduling with Job Size Estimates. - Brian Gaudet, Roberto Furfaro:
Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning. - Rebecca M. C. Taylor, Johan A. du Preez:
ALBU: An approximate Loopy Belief message passing algorithm for LDA to improve performance on small data sets. - Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. - Yichao Liu, Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities. - Kasra Rezaee, Peyman Yadmellat, Simon Chamorro:
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning. - Jacob Hilton, Karl Cobbe, John Schulman:
Batch size-invariance for policy optimization. - Eugenio Aulisa, Jonathon Loftin:
Exact CutFEM Polynomial Integration. - Alkida Balliu, Sebastian Brandt, Fabian Kuhn, Dennis Olivetti:
Distributed Δ-Coloring Plays Hide-and-Seek. - Xi Zhang, Chun-Kai Wang, Kenan Deng, Tomas F. Yago Vicente, Himanshu Arora:
RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View. - Kasra Rezaee, Peyman Yadmellat:
How To Not Drive: Learning Driving Constraints from Demonstration. - Marina González-Álvarez, Julien Dupeyroux, Federico Corradi, Guido de Croon:
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp. - Joel A. Tropp:
Randomized block Krylov methods for approximating extreme eigenvalues. - Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo:
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. - Sara Akbar Ghanadian, Saeed Ghanbartehrani:
Application of Social Network Analysis in Evaluating Risk and network resilience of Closed-Loop-Supply-Chain. - Hosna Ghandeharioun:
Online Obstructive Sleep Apnea Detection Based on Hybrid Machine Learning And Classifier Combination For Home-based Applications. - Ivar Bjørgo Saksvik, Alex Alcocer, Vahid Hassani:
A Deep Learning Approach To Dead-Reckoning Navigation For Autonomous Underwater Vehicles With Limited Sensor Payloads. - Jianqiao Huang, Xinyang Zhou, Bai Cui:
Online Distribution System State Estimation via Stochastic Gradient Algorithm. - Xuan Lin, Gabriel I. Fernandez, Dennis W. Hong:
ReDUCE: Reformulation of Mixed Integer Programs using Data from Unsupervised Clusters for Learning Efficient Strategies. - Subhash Lakshminarayana, Saurav Sthapit, Carsten Maple:
Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids. - Ian Good, Tosh Brown-Moore, Aditya Patil, Daniel Revier, Jeffrey Ian Lipton:
Expanding the Design Space for Electrically-Driven Soft Robots through Handed Shearing Auxetics. - Georgiy Klimenko, Benjamin Raichel:
Fast and Exact Convex Hull Simplification. - Robert Wolfe, Aylin Caliskan:
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. - Andrew O'Brien, Edward Kim:
Multi-Agent Algorithmic Recourse. - Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview. - Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri, Isil Dillig, Yu Feng:
SolType: Refinement Types for Solidity. - Arjun Srinivasan, Nikhila Nyapathy, Bongshin Lee, Steven Mark Drucker, John T. Stasko:
Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations. - Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina:
Learning through atypical "phase transitions" in overparameterized neural networks. - Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne:
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). - Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon:
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. - Bernice E. Rogowitz, Laura J. Perovich, Yuke Li, Bjorn Kierulf, Dietmar Offenhuber:
Touching Art - A Method for Visualizing Tactile Experience. - Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. - Rain Jiang, Kai Jiang, Minghui Jiang:
Decomposing a graph into subgraphs with small components. - Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan:
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. - Aidin Ferdowsi, David Whitefield:
Deep Learning for Rain Fade Prediction in Satellite Communications. - Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou:
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only. - Yuan An, Alexander Kalinowski, Jane Greenberg:
Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences. - Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao:
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance. - Julius Susanto, Alireza Fereidouni, Dean Sharafi:
Joint Estimation of System Inertia and Load Relief. - Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Compression with Application to Model Selection. - Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu:
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation. - Takuma Amada, Seng Pei Liew, Kazuya Kakizaki, Toshinori Araki:
Universal Adversarial Spoofing Attacks against Face Recognition. - Minesh Mathew, Lluís Gómez, Dimosthenis Karatzas, C. V. Jawahar:
Asking questions on handwritten document collections. - Chenyang Li, Gongxu Luo:
Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages. - Wanyu Bian, Yunmei Chen, Xiaojing Ye, Qingchao Zhang:
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset. - David Watkins-Valls, Peter K. Allen, Henrique Maia, Madhavan Seshadri, Jonathan Sanabria, Nicholas R. Waytowich, Jacob Varley:
Mobile Manipulation Leveraging Multiple Views. - Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang:
One-Bit Matrix Completion with Differential Privacy. - Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang:
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding. - Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. - Ruhi Sharmin, Sayeed Shafayet Chowdhury, Farihal Abedin, Kazi Mujibur Rahman:
Implementation of MPPT Technique of Solar Module with Supervised Machine Learning. - Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado:
Learning Region of Attraction for Nonlinear Systems. - Federico Bobbio, Margarida Carvalho, Andrea Lodi, Alfredo Torrico:
Capacity Expansion in the College Admission Problem. - Corinna Coupette, Jyotsna Singh, Holger Spamann:
Simplify Your Law: Using Information Theory to Deduplicate Legal Documents. - Nathan Kau, Stuart Bowers:
Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education. - A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu:
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues. - Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon:
FICGAN: Facial Identity Controllable GAN for De-identification. - François Le Gall, Masayuki Miyamoto:
Lower Bounds for Induced Cycle Detection in Distributed Computing. - Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal:
Random Subgraph Detection Using Queries. - Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. - Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala I. Al-Fuqaha:
Explainable Event Recognition. - Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR. - Saeed Amal, Einat Minkov, Tsvi Kuflik:
Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information. - Huifeng Guan, Yuan Gao, Min Zhao, Yong Yang, Fuqin Deng, Tin Lun Lam:
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment. - Changwen Li, Chih-Hong Cheng, Tiantian Sun, Yuhang Chen, Rongjie Yan:
ComOpT: Combination and Optimization for Testing Autonomous Driving Systems. - Francesco Sovrano, Fabio Vitali:
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces. - Siddharth Barman, Anand Krishna, Pooja Kulkarni, Shivika Narang:
Sublinear Approximation Algorithm for Nash Social Welfare with XOS Valuations. - Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, Siva Reddy:
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching. - Lin Sok:
New families of quantum stabilizer codes from Hermitian self-orthogonal algebraic geometry codes. - Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos:
Network Friendly Recommendations: Optimizing for Long Viewing Sessions. - Rishabh Jindal, Adnan Anwar:
Emerging Trends of Recently Published Datasets for Intrusion Detection Systems (IDS): A Survey. - Andreas Binder, Onkar Jadhav, Volker Mehrmann:
Error Analysis of a Model Order Reduction Framework for Financial Risk Analysis. - Wuu Yang:
Minimizing LR(1) State Machines is NP-Hard. - Sandeep Nagar, Prateek Pani, Raj Nair, Girish Varma:
Automated Seed Quality Testing System using GAN & Active Learning. - Rahul Goel, Tymofii Brik, Rajesh Sharma:
Do Facial Trait Correlates with Roll Call Voting in Parliament? Using fWHR to Study Performance in Politics. - Meltem Civas, Özgür B. Akan:
Terahertz Wireless Communications in Space. - Delano Oliveira:
Recommending Code Understandability Improvements based on Code Reviews. - Abdolreza Taheri, Nima Assadian:
Dynamic-Programming-Based Failure-Tolerant Control for Satellite with Thrusters in 6-DOF Motion. - Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel:
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning. - Delano Oliveira, Reydne Bruno, Fernanda Madeiral, Fernando Castor:
Evaluating Code Readability and Legibility: An Examination of Human-centric Studies. - Hongxiang Jiang, Jihao Yin, Xiaoyan Luo, Fuxiang Wang:
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion. - Ranjith M. S, S. Parameshwara, Pavan Yadav A, Shriganesh Hegde:
Optimizing Neural Network for Computer Vision task in Edge Device. - Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake:
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. - Protima Nomo Sudro, Rohit Sinha, S. R. Mahadeva Prasanna:
Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement. - Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. - Zelin Zhao, Karan Samel, Binghong Chen, Le Song:
ProTo: Program-Guided Transformer for Program-Guided Tasks. - Hongwei Zhu, Minjia Shi, Ferruh Özbudak:
Complete b-symbol weight distribution of some irreducible cyclic codes. - Joel Niklaus, Ilias Chalkidis, Matthias Stürmer:
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark. - Sidney Bender, Tim Joseph, J. Marius Zöllner:
Cycle-Consistent World Models for Domain Independent Latent Imagination. - Sarwan Ali, Babatunde Bello, Murray Patterson:
Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning. - Michael D. Ekstrand:
Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation. - Mojtaba Shahin, Chris Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia:
How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro: bit. - Guy N. Rothblum, Gal Yona:
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification. - Shai Feldman, Stephen Bates, Yaniv Romano:
Calibrated Multiple-Output Quantile Regression with Representation Learning. - Xijun Wang, Wenrui Lin, Chao Xu, Xinghua Sun, Xiang Chen:
Age of Changed Information: Content-Aware Status Updating in the Internet of Things. - Ali Fathi, Mohammad Rashid, Shayan Ranjbarzadeh, Mojtaba Tefagh:
Multi-Feasibility Variable Selection. - Elisa Claire Alemán Carreón, Hirofumi Nonaka, Toru Hiraoka:
Relation Analysis between Hotel Review Rating Scores and Sentiment Analysis of Reviews by Chinese Tourists Visiting Japan. - Yimeng Zhang, Harold Rockwell, Sicheng Dai, Ge Huang, Stephen Tsou, Yuanyuan Wei, Tai Sing Lee:
Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits. - Zekun Ye, Lvzhou Li:
Deterministic Algorithms for the Hidden Subgroup Problem. - Tahereh Saheb, Mohammad Dehghani:
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis. - Marco Lo Cascio:
Virtual Element based formulations for computational materials micro-mechanics and homogenization. - Marco Di Renzo, Fadil Habibi Danufane, Sergei A. Tretyakov:
Communication Models for Reconfigurable Intelligent Surfaces: From Surface Electromagnetics to Wireless Networks Optimization. - Dionysis Athanasopoulos, Dewei Liu:
AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud. - (Withdrawn) Tiling Rectangles and the Plane using Squares of Integral Sides.
- Bruce Nielson, Daniel C. Elton:
Induction, Popper, and machine learning. - Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari:
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data. - Sayan Ghosh, Shashank Srivastava:
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. - Haimin Hu, Kensuke Nakamura, Jaime F. Fisac:
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction. - Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. - Anatoly Mukosey, Alexander Semenov, Alexander Tretiakov:
Optimized Graph Based Routing Algorithm for the Angara Interconnect. - Harish Doddi, Deepjyoti Deka, Saurav Talukdar, Murti V. Salapaka:
Learning Networked Linear Dynamical Systems under Non-white Excitation from a Single Trajectory. - Zifeng Wang, Jimeng Sun:
SurvTRACE: Transformers for Survival Analysis with Competing Events. - Robert Wodraszka, Tucker Carrington Jr.:
Efficiently transforming from values of a function on a sparse grid to basis coefficients. - Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr:
FairFed: Enabling Group Fairness in Federated Learning. - Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam:
A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data. - Faisal Alamri, Anjan Dutta:
Implicit and Explicit Attention for Zero-Shot Learning. - Ismail Aslan, Yücel Topçu:
A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings. - Oishee Bintey Hoque, Mohammad Imrul Jubair, Al-Farabi Akash, Md. Saiful Islam:
BdSL36: A Dataset for Bangladeshi Sign Letters Recognition. - Tong Zhang:
Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning. - Andrey Filatov, Daniil Merkulov:
Fast Line Search for Multi-Task Learning. - Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. - Francesco Patrizi:
Effective grading refinement for locally linearly independent LR B-splines. - Edson R. Bollis, Helena Almeida Maia, Hélio Pedrini, Sandra Avila:
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification. - Sagar Jha, Lorenzo Rosa, Ken Birman:
Spindle: Techniques for Optimizing Atomic Multicast on RDMA. - John A. Borghi, Ana E. Van Gulick:
Promoting Open Science Through Research Data Management. - Keerthana Gurushankar, Pulkit Grover:
A Minimal Intervention Definition of Reverse Engineering a Neural Circuit. - Ayush Agrawal, Shuxiao Chen, Akshara Rai, Koushil Sreenath:
Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries. - Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. - Dieqiao Feng, Carla P. Gomes, Bart Selman:
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. - Md Tahmid Hossain, Shyh Wei Teng, Ferdous Sohel, Guojun Lu:
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function. - Thi-Thao-Phuong Hoang:
Fully implicit local time-stepping methods for advection-diffusion problems in mixed formulations. - Li Yang, Sen Lin, Junshan Zhang, Deliang Fan:
GROWN: GRow Only When Necessary for Continual Learning. - Jianrong Yao, Lihui Pang, Zhi Zhang, Wei Yang, Anmin Fu, Yansong Gao:
Design and Evaluate Recomposited OR-AND-XOR-PUF. - Jian Zhang:
AI based Algorithms of Path Planning, Navigation and Control for Mobile Ground Robots and UAVs. - Zhao Wang, Kai Shu, Aron Culotta:
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach. - Guang Yang, Yanlin Zhou, Chi Yu, Xiang Chen:
DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa. - Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. - Parviz Gharehbagheri, Sayeed Hamid Haji Sayeed Javadi, Parvaneh Asghari, Naser Gharehbagheri:
Binary code optimization. - Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani:
Does deep learning model calibration improve performance in class-imbalanced medical image classification? - Zhiqiang Liu, Wentao Zhou:
Application of Artificial Neural Networks for Catalysis. - Chitrank Gupta, Yash Jain:
Deep Neural Matching Models for Graph Retrieval. - Haiyun He, Hanshu Yan, Vincent Y. F. Tan:
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning. - Hyungjun Oh, Junyeol Lee, HyeongJu Kim, Jiwon Seo:
Scheduling Optimization Techniques for Neural Network Training. - Tannan Xiao, Ying Chen, Jianquan Wang, Shaowei Huang, Weilin Tong, Tirui He:
Exploration of AI-Oriented Power System Transient Stability Simulations. - Neuza Clar, Paulo A. Salgado, Teresa Paula Azevedo Perdicoúlis:
Subtractive mountain clustering algorithm applied to a chatbot to assist elderly people in medication intake. - Juan Wang, Bin Xia:
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. - Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Gediminas Kostkevicius, Domantas Ozerenskis:
Anatomical Landmarks Localization for 3D Foot Point Clouds. - Yi Ma, Kong Aik Lee, Ville Hautamäki, Haizhou Li:
PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction. - Juan Wang, Bin Xia:
Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography. - Philipp Wagner, Xinyang Wu, Marco F. Huber:
Kalman Bayesian Neural Networks for Closed-form Online Learning. - Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura:
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. - Kanata Suzuki, Taro Sunagawa, Tomotake Sasaki, Takashi Katoh:
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. - Aravind Chandramouli, Siddharth Shukla, Neeti Nair, Shiven Purohit, Shubham Pandey, Murali Mohana Krishna:
Unsupervised paradigm for information extraction from transcripts using BERT. - Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu:
An Unsupervised Video Game Playstyle Metric via State Discretization. - Yuqing Kong:
Information Elicitation Meets Clustering. - Miguel Picallo, Lukas Ortmann, Saverio Bolognani, Florian Dörfler:
Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation. - Qiyun Liu, Hanzhou Wu:
Graph Representation Learning for Spatial Image Steganalysis. - Nazanin Padkan, Bahram Sadeghi Bigham, Mohammad Reza Faraji:
Fingerprint Matching using the Onion Peeling Approach and Turning Function. - Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. - Shir Cohen, Rati Gelashvili, Lefteris Kokoris-Kogias, Zekun Li, Dahlia Malkhi, Alberto Sonnino, Alexander Spiegelman:
Be Aware of Your Leaders. - Zhiyang Dou, Cheng Lin, Rui Xu, Lei Yang, Shiqing Xin, Taku Komura, Wenping Wang:
Coverage Axis: Inner Point Selection for 3D Shape Skeletonization. - Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden:
Translating Images into Maps. - Shen Zheng, Gaurav Gupta:
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement. - Jiaqi Yang, Xuequan Lu, Wenzhi Chen:
A Robust Scheme for 3D Point Cloud Copy Detection. - Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai:
Graph Pointer Neural Networks. - Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael J. Bommarito II, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras:
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. - David Melhart, Antonios Liapis, Georgios N. Yannakakis:
Towards General Models of Player Experience: A Study Within Genres. - Ra'Fat Al-Msie'deen, Anas H. Blasi:
Software Evolution Understanding: Automatic Extraction of Software Identifiers Map for Object-Oriented Software Systems. - Do Le Quoc, Christof Fetzer:
SecFL: Confidential Federated Learning using TEEs. - Michael Dikshtein, Shlomo Shamai:
A Class of Nonbinary Symmetric Information Bottleneck Problems. - Duncan Zauss, Sven Kreiss, Alexandre Alahi:
Keypoint Communities. - Akash Sengupta, Ignas Budvytis, Roberto Cipolla:
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild. - Fritz Laux:
The Typed Graph Model. - Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber:
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers. - Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi:
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data. - Kunal Vaswani, Yudhik Agrawal, Vinoo Alluri:
Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation. - Kasper Johansson, Ugo Rosolia, Wyatt Ubellacker, Andrew Singletary, Aaron D. Ames:
Mixed Observable RRT: Multi-Agent Mission-Planning in Partially Observable Environments. - Tamjid Al Rahat, Yu Feng, Yuan Tian:
OAuthShield: Efficient Security Checking for OAuth Service Provider Implementations. - Zhiling Zhang, Zelin Zhou, Haifeng Tang, Guangwei Li, Mengyue Wu, Kenny Q. Zhu:
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging. - Wanli Lv, Lulu Cheng, Zhaoxia Yin:
High Capacity Reversible Data Hiding in Encrypted 3D mesh models Based on multi-MSB Prediction. - Maboud F. Kaloorazi, Jie Chen, Rodrigo C. de Lamare:
A QLP Decomposition via Randomization. - Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. - Rishubh Parihar, Gaurav Ramola, Ranajit Saha, Ravi Kini, Aniket Rege, Sudha Velusamy:
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction. - Pia Schneider, Dominik Müller, Frank Kramer:
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework. - Daniel Rudmark, Magnus Andersson:
Feedback Loops in Open Data Ecosystems. - Feng Zhang, Xueying Wang, Shilin Zhou, Yingqian Wang:
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images. - Dakuo Wang, Michael J. Muller, Qian Yang, Zijun Wang, Ming Tan, Stacy Hobson:
Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity. - Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim:
Project Debater APIs: Decomposing the AI Grand Challenge. - Xavier Badin de Montjoye:
A Recursive Algorithm for Solving Simple Stochastic Games. - Jia Li, Huaibo Huang, Xiaofei Jia, Ran He:
Universal Face Restoration With Memorized Modulation. - Chuyao Luo, Zheng Zhang, Rui Ye, Xutao Li, Yunming Ye:
RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting. - Konstantinos Kalimeris, Türker Özsari, Nikolaos Dikaios:
Numerical computation of Neumann controllers for the heat equation on a finite interval. - Sumith Yesudasan:
Generating and Managing Strong Passwords using Hotel Mnemonic. - Anastasios N. Angelopoulos, Stephen Bates, Emmanuel J. Candès, Michael I. Jordan, Lihua Lei:
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control. - Rui Zhao, Malcolm P. Atkinson, Petros Papapanagiotou, Federica Magnoni, Jacques D. Fleuriot:
Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way. - Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani:
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules. - Ahmad M. Nagm, Khaled Y. Youssef, Mohammad Ibtrahim Youssef:
Architecture of Network Camera Photo Authentication Scheme using Steganography Approach. - Ahmad M. Nagm, Khaled Y. Youssef, Mohammad Ibtrahim Youssef:
A New Approach for Image Authentication Framework for Media Forensics Purpose. - Boyu Ning, Zhi Chen, Zhongbao Tian, Chong Han, Shaoqian Li:
A Unified 3D Beam Training and Tracking Procedure for Terahertz Communication. - Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer:
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. - Esin Durmus:
Towards Understanding Persuasion in Computational Argumentation. - Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd:
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! - Andrey Churkin, Wangwei Kong, Jose N. Melchor Gutierrez, Pierluigi Mancarella, Eduardo Alejandro Martinez-Ceseña:
Characterizing Power Support from Distribution Networks via Flexibility Area Segmentation. - Paula Helm:
Anonymer Tanz als dekolonialisierende Praxis. Ein embodied Research Versuch. - Daisuke Nishioka, Toshihiro Kamiya:
Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones. - (Withdrawn) TSP on manifolds.
- Wenqian Ye, Fei Xu, Yaojia Huang, Cassie Huang, Ji A:
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models. - Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam:
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. - Michael Coblenz, Michelle L. Mazurek, Michael Hicks:
Does the Bronze Garbage Collector Make Rust Easier to Use? A Controlled Experiment. - Marcus Greiff, Patrik Persson, Zhiyong Sun, Karl Johan Åström, Anders Robertsson:
Quadrotor Control on SU(2)×R3 with SLAM Integration. - Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations. - Tiandong Zhao, Yunxuan Yu, Kun Wang, Lei He:
Heterogeneous Dual-Core Overlay Processor for Light-Weight CNNs. - Kavya Kopparapu, Eric Lin:
TinyFedTL: Federated Transfer Learning on Tiny Devices. - Dakuo Wang, Xiaojuan Ma, April Yi Wang:
Human-Centered AI for Data Science: A Systematic Approach. - Kewen Peng, Joymallya Chakraborty, Tim Menzies:
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. - Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. - Stanley P. Y. Fung:
Is this the simplest (and most surprising) sorting algorithm ever? - Shivin Thukral, Kunal Kukreja, Christian Kavouras:
Probing Language Models for Understanding of Temporal Expressions. - Gianluca Curzi, Anupam Das:
Cyclic Implicit Complexity. - James Zhu, Nathan J. Kong, George Council, Aaron M. Johnson:
Hybrid Event Shaping to Stabilize Periodic Hybrid Orbits. - Wenqi Cui, Jiayi Li, Baosen Zhang:
Decentralized Safe Reinforcement Learning for Voltage Control. - Steven Campbell, Yichao Chen, Arvind Shrivats, Sebastian Jaimungal:
Deep Learning for Principal-Agent Mean Field Games. - Na Tang:
Lifetime Maximization for UAV-Enabled Cognitive-NOMA IoT Networks: Joint Location, Power, and Decoding Order Optimization. - Jiaao Song, Laszlo B. Kish:
From cold resistor to secure key exchanger. - Kyle Gorman, Christo Kirov, Brian Roark, Richard Sproat:
Structured abbreviation expansion in context. - Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass:
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. - Elad Romanov, Or Ordentlich:
Spiked Covariance Estimation from Modulo-Reduced Measurements. - Hoon Oh, Yanhan Tang, Zong Zhang, Alexandre Jacquillat, Fei Fang:
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing. - Kaicheng Yu, René Ranftl, Mathieu Salzmann:
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. - Sajad Sotudeh, Hanieh Deilamsalehy, Franck Dernoncourt, Nazli Goharian:
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts. - Adrian Caruana, Madhushi Niluka Bandara, Daniel R. Catchpoole, Paul J. Kennedy:
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences. - Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan:
Enhance Images as You Like with Unpaired Learning. - Shantanu Pal, Ambrose Hill, Tahiry M. Rabehaja, Michael Hitchens:
Controlling Resource Allocation using Blockchain-Based Delegation. - Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou:
Trustworthy AI: From Principles to Practices. - Md Ashiqur Rahman, Teng Liang, Beichuan Zhang:
BLEnD: Improving NDN Performance Over Wireless Links Using Interest Bundling. - Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. - Zixuan Jiang, Jiaqi Gu, David Z. Pan:
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. - Jin-Yi Cai, Austen Z. Fan, Yin Liu:
Bipartite 3-Regular Counting Problems with Mixed Signs. - Hanhong Liu, Xiaoying Zhao, Xiang-Hua Wang, Shunchuan Yang, Zhizhang Chen:
An Unconditionally Stable Conformal LOD-FDTD Method For Curved PEC Objects and Its Application for EMC Problems. - Letian Peng, Zuchao Li, Hai Zhao:
A Novel Metric for Evaluating Semantics Preservation. - Zhaoqun Li, Xu Liang, Dandan Fan, Jinxing Li, David Zhang:
BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion. - Jin Jie Deng, Wing-Kai Hon, Dominik Köppl, Kunihiko Sadakane:
FM-Indexing Grammars Induced by Suffix Sorting for Long Patterns. - Dan Cascaval, Mira Shalah, Phillip Quinn, Rastislav Bodík, Maneesh Agrawala, Adriana Schulz:
Differentiable 3D CAD Programs for Bidirectional Editing. - Amogh Joshi, Cody Buntain:
Examining Similar and Ideologically Correlated Imagery in Online Political Communication. - Nazmul Shahadat, Anthony S. Maida:
Adding Quaternion Representations to Attention Networks for Classification. - Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Nagadeh:
The state-of-the-art in text-based automatic personality prediction. - Vedant Parikh, Vidit Mathur, Parth Mehta, Namita Mittal, Prasenjit Majumder:
LawSum: A weakly supervised approach for Indian Legal Document Summarization. - Stefano Tomasin, Javier German Luzon Hidalgo:
Virtual Private Mobile Network with Multiple Gateways for B5G Location Privacy. - Han Wang:
Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters. - Deyuan Meng:
From Control to Mathematics-Part II: Observability-Based Design for Iterative Methods in Solving Linear Equations. - Sayyid Mohssen Sajjadi, Meng Wu:
A Game Theoretic Approach for Demand Response Allocation among Strategic Prosumers in Regulated Distribution Utilities. - Sarabjeet Singh, Neelam Surana, Pranjali Jain, Joycee Mekie, Manu Awasthi:
HyGain: High Performance, Energy-Efficient Hybrid Gain Cell based Cache Hierarchy. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. - Aysegül Özkaya Eren, Mustafa Sert:
Audio Captioning Using Sound Event Detection. - Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang:
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. - Alexis Baudin, Maximilien Danisch, Sergey Kirgizov, Clémence Magnien, Marwan Ghanem:
Clique percolation method: memory efficient almost exact communities. - Kaustav Dey, Anil Kulkarni:
Passivity-based Local Criteria for Stability of Power Systems with Converter-Interfaced Generation. - Albert Lee, Kang L. Wang:
Max and Coincidence Neurons in Neural Networks. - Ali Sedaghatbaf, Sima Sinaei, Perttu Ranta-aho, Marko Koskinen:
DenDrift: A Drift-Aware Algorithm for Host Profiling. - Pegdwendé N. Sawadogo, Jérôme Darmont:
Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench. - Yuzhao Yang, Fatma Abdelhédi, Jérôme Darmont, Franck Ravat, Olivier Teste:
Internal Data Imputation in Data Warehouse Dimensions. - Yue Niu, Ramy E. Ali, Salman Avestimehr:
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. - Léon Zheng, Rémi Gribonval, Elisa Riccietti:
Identifiability in Exact Multilayer Sparse Matrix Factorization. - Germano Abud, Jorge Alencar, Carlile Lavor, Leo Liberti, Antonio Mucherino:
An impossible utopia in distance geometry. - Raul Sena Ferreira, Jean Arlat, Jérémie Guiochet, Hélène Waeselynck:
Benchmarking Safety Monitors for Image Classifiers with Machine Learning. - Léon Zheng, Rémi Gribonval, Elisa Riccietti:
Identifiability in Exact Two-Layer Sparse Matrix Factorization. - Yuan Zhang, Jian Cao, Ling Zhang, Xiangcheng Liu, Zhiyi Wang, Feng Ling, Weiqian Chen:
A free lunch from ViT: Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition. - Wolfram Lautenschlaeger, Florian Frick, Konstantinos Christodoulopoulos, Torben Henke:
A Scalable Factory Backbone for Multiple Independent Time-Sensitive Networks. - Erik Englesson, Hossein Azizpour:
Consistency Regularization Can Improve Robustness to Label Noise. - Guillaume Michel, Durgesh Haribhau Salunkhe, Philippe Bordure, Damien Chablat:
Geometric Atlas of the Middle Ear and Paranasal Sinuses for Robotic Applications. - Roshan Vijay, Jim Cherian, Rachid Riah, Niels de Boer, Apratim Choudhury:
Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments. - Chiao-Wen Lin, Chih-Hang Wang, De-Nian Yang, Wanjiun Liao:
Cybersickness-aware Tile-based Adaptive 360° Video Streaming. - Tengteng Huang, Yifan Sun, Xun Wang, Haotian Yao, Chi Zhang:
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework. - Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu:
GenCo: Generative Co-training on Data-Limited Image Generation. - Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li:
Revisiting Self-Training for Few-Shot Learning of Language Model. - Enshuai Hou, Jie Zhu:
A Aelf-supervised Tibetan-chinese Vocabulary Alignment Method Based On Adversarial Learning. - Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. - Haitham Afifi, Fabian Jakob Sauer, Holger Karl:
Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. - Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin:
Behaviour-conditioned policies for cooperative reinforcement learning tasks. - Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet:
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. - Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li:
Git: Clustering Based on Graph of Intensity Topology. - Patricia Bouyer, Mickael Randour, Pierre Vandenhove:
Characterizing Omega-Regularity through Finite-Memory Determinacy of Games on Infinite Graphs. - Faezeh Alizadeh, Stephen P. Glasby, Cheryl E. Praeger:
Sequences of linear codes where the rate times distance grows rapidly. - Marie Roald, Carla Schenker, Rasmus Bro, Jeremy E. Cohen, Evrim Acar:
An AO-ADMM approach to constraining PARAFAC2 on all modes. - Emmanuel Arrighi, Henning Fernau, Stefan Hoffmann, Markus Holzer, Ismaël Jecker, Mateus de Oliveira Oliveira, Petra Wolf:
On the Complexity of Intersection Non-emptiness for Star-Free Language Classes. - Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan:
Leveraging Information Bottleneck for Scientific Document Summarization. - Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege:
Metric Indexing for Graph Similarity Search. - Daniel Beßler, Sascha Jongebloed, Michael Beetz:
Prolog as a Querying Language for MongoDB. - Gerhard Kurz, Matthias Holoch, Peter Biber:
Geometry-based Graph Pruning for Lifelong SLAM. - Julio A. Placed, José A. Castellanos:
Fast Uncertainty Quantification for Active Graph SLAM. - Beixiong Zheng, Changsheng You, Weidong Mei, Rui Zhang:
A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications. - Ruben Kruiper, Ioannis Konstas, Alasdair J. G. Gray, Farhad Sadeghineko, Richard Watson, Bimal Kumar:
SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts. - Chang-uk Ahn, Chanhun Park, Dong Il Park, Jin-Gyun Kim:
Optimal hybrid parameter selection for stable sequential solution of inverse heat conduction problem. - Jiahao Huo, Terence L. van Zyl:
Incremental Class Learning using Variational Autoencoders with Similarity Learning. - Alexandre Heuillet, Fabien Couthouis, Natalia Díaz Rodríguez:
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values. - Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin:
Learning to Assist Agents by Observing Them. - Andrew Trask, Kritika Prakash:
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study. - Marco Lewis, Sadegh Soudjani, Paolo Zuliani:
Formal Verification of Quantum Programs: Theory, Tools and Challenges. - Raphaela Butz, Renée Schulz, Arjen Hommersom, Marko C. J. D. van Eekelen:
What is understandable in Bayesian network explanations? - Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online Unsupervised Cross-Domain Adaptation. - Joselito Mota Júnior, Gláucya Boechat, Ivan Machado:
Label it be! A large-scale study of issue labeling in modern open-source repositories. - Jasper Brown, Yongliang Qiao, Cameron E. F. Clark, Sabrina Lomax, Khalid Rafique, Salah Sukkarieh:
Automated Aerial Animal Detection When Spatial Resolution Conditions Are Varied. - Andrew Weitz, Lina Colucci, Sidney Primas, Brinnae Bent:
InfiniteForm: A synthetic, minimal bias dataset for fitness applications. - Yuxuan Yang, Maiko Shigeno:
Analysis of the relation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps. - Thomas Hirsch, Birgit Hofer:
Identifying non-natural language artifacts in bug reports. - Eric Bonnetier, Elie Bretin, Simon Masnou:
Multiphase mean curvature flows approximation : the case of non harmonically additive mobilities. - Byeong-Ju Han, Kuhyeun Ko, Jae-Young Sim:
Context-Aware Unsupervised Clustering for Person Search. - Andrei E. Romashchenko:
Clustering with Respect to the Information Distance. - Philip Freese:
The Heterogeneous Multiscale Method for dispersive Maxwell systems. - Weronika Lajewska, Anna Wróblewska:
Protagonists' Tagger in Literary Domain - New Datasets and a Method for Person Entity Linkage. - Jon Arrizabalaga, Markus Ryll:
Towards Time-Optimal Tunnel-Following for Quadrotors. - Cosimo Della Santina, Christian Duriez, Daniela Rus:
Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges. - Yizheng Wang, Jia Sun, Xiang Li, Yinghua Liu:
CENN: Conservative energy method based on neural network with subdomains for solving heterogeneous problems involving complex geometries. - Kalle Kujanpää, Willie Victor, Alexander Ilin:
Automating Privilege Escalation with Deep Reinforcement Learning. - Yousi A. Oquendo, Zonghe Chua, Margaret M. Coad, Ilana Nisky, Anthony M. Jarc, Sherry M. Wren, Thomas S. Lendvay, Allison M. Okamura:
Robot-Assisted Surgical Training Over Several Days in a Virtual Surgical Environment with Divergent and Convergent Force Fields. - Lukás Kohútka, Lukás Nagy, Viera Stopjaková:
RED-based Scheduler on Chip for Mixed-Criticality Real-Time Systems. - Tzvi Michelson, Shmuel Peleg:
Audio-Visual Evaluation of Oratory Skills. - Maria Girardi, Cristina Padovani, Daniele Pellegrini:
The influence of deflections on the static and dynamic behaviour of masonry columns. - Rabia Djellouli, David Klein, Matthew Levy:
Legendre Expansions of Products of Functions with Applications to Nonlinear Partial Differential Equations. - Ruo Li, Wei Zhong:
Locally Order-Preserving Mapping for WENO Methods. - Alexis-Tzianni Charalampopoulos, Spencer H. Bryngelson, Tim Colonius, Themistoklis P. Sapsis:
Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics. - Santiago Badia, Pere A. Martorell, Francesc Verdugo:
Geometrical discretisations for unfitted finite elements on explicit boundary representations. - Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Masayoshi Tomizuka:
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. - Huanzhuo Wu, Yunbin Shen, Xun Xiao, Artur Hecker, Frank H. P. Fitzek:
In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory. - Erica Nocerino, Fabio Menna, Bertrand Chemisky, Pierre Drap:
3d sequential image mosaicing for underwater navigation and mapping. - Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. - Zhe Liu, Nicholas Rolston, Austin C. Flick, Thomas Colburn, Zekun Ren, Reinhold H. Dauskardt, Tonio Buonassisi:
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing. - Michael Everett:
Neural Network Verification in Control. - Ilir Çapuni, Veljko Milutinovic:
A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs. - Huafei Zhu:
A Lightweight, Anonymous and Confidential Genomic Computing for Industrial Scale Deployment. - Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An Efficient Procedure for Mining Egocentric Temporal Motifs. - Srikantaiah K. C, Deeksha A:
Mulberry Leaf Yield Prediction Using Machine Learning Techniques. - Srikantaiah K. C, Aryan Khetan, Baibhav Kumar, Divy Tolani, Harshal Patel:
Prediction of IPL Match Outcome Using Machine Learning Techniques. - Zheng Zhao, Simo Särkkä:
Non-linear Gaussian smoothing with Taylor moment expansion. - Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. - Kevin Coutinho, Ponnie Clark, Ferdinand Azis, Norman Lip, Josh Hunt:
Enabling Blockchain Scalability and Interoperability with Mobile Computing through LayerOne.X. - Pham Q. Viet, Daniel Romero:
Aerial Base Station Placement: A Gentle Introduction. - Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Clark Alexander:
On Near Optimal Spectral Expander Graphs of Fixed Size. - Mark P. Blanco, Scott McMillan, Tze Meng Low:
Delayed Asynchronous Iterative Graph Algorithms. - Afef Saihi, Hussam Alshraideh:
Development of an autism screening classification model for toddlers. - Amjad Yousef Majid, Serge Saaybi, Tomas van Rietbergen, Vincent François-Lavet, R. Venkatesha Prasad, Chris J. M. Verhoeven:
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey. - Björn Daase, Leon Matthes, Lukas Pirl, Lukas Wenzel:
Observing a Moving Target - Reliable Transmission of Debug Logs from Embedded Mobile Devices. - Frédéric Magoulès, Abal-Kassim Cheik Ahamed, Alban Desmaison, Jean-Christophe Léchenet, François Mayer, Haifa Ben Salem, Thomas Zhu:
Power Consumption Analysis of Parallel Algorithms on GPUs. - J.-M. Chauvet:
Compiling Turing Machines into Storage Modification Machines. - Marsha J. Berger, Randall J. LeVeque:
Towards Adaptive Simulations of Dispersive Tsunami Propagation from an Asteroid Impact. - Bruno Messias Farias de Resende, Eric K. Tokuda, Luciano da Fontoura Costa:
Unraveling the graph structure of tabular datasets through Bayesian and spectral analysis. - Julio Cesar Duarte, Sérgio Colcher:
Building a Noisy Audio Dataset to Evaluate Machine Learning Approaches for Automatic Speech Recognition Systems. - Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele:
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. - Kathrin Blagec, Adriano Barbosa-Silva, Simon Ott, Matthias Samwald:
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks. - Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin:
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. - Akram El-Korashy, Roberto Blanco, Jérémy Thibault, Adrien Durier, Deepak Garg, Catalin Hritcu:
SecurePtrs: Proving Secure Compilation with Data-Flow Back-Translation and Turn-Taking Simulation. - Ankan Dash, Junyi Ye, Guiling Wang:
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines - From Medical to Remote Sensing. - Jiyuan Lv, Zhonghao Bai, Xianping Du, Feng Zhu, Clifford C. Chou, Binhui Jiang, Shiwei Xu:
Crashworthiness design of 3D lattice-structure filled thin-walled tubes based on data mining. - Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. - Mourad El Hamri, Younès Bennani, Issam Falih:
Label Propagation Through Optimal Transport. - Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega, Tom Whalley:
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection. - Jing Sun, Qi Tang:
Artificial Neural Network and its Application Research Progress in Distillation. - Hiroaki Terao, Sho Shirasaka, Hideyuki Suzuki:
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations. - Nikita Shanin, Moritz Garkisch, Amelie Hagelauer, Robert Schober, Laura Cottatellucci:
Optimal Resource Allocation and Beamforming for Two-User MISO WPCNs for a Non-linear Circuit-Based EH Model. - Andrew Lappalainen, Yuhao Zhang, Catherine Rosenberg:
Planning 5G Networks for Rural Fixed Wireless Access. - Alex Glushkovsky:
Designing Complex Experiments by Applying Unsupervised Machine Learning. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
Drone Charging Stations Deployment in Rural Areas for Better Wireless Coverage: Challenges and Solutions. - Mert Çetinkaya:
Multi-Agent Path Planning Using Deep Reinforcement Learning. - Puzuo Wang, Wei Yao:
A new weakly supervised approach for ALS point cloud semantic segmentation. - Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. - Yun-Sheng Chang, Yu-Fang Chen, Hsiang-Shang Ko:
Weakly Durable High-Performance Transactions. - Vijaikumar M, Deepesh V. Hada, Shirish K. Shevade:
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. - Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya:
Data-driven Identification of Nonlinear Power System Dynamics Using Output-only Measurements. - Wei-Chang Yeh, Zhenyao Liu, Shi-Yi Tan, Shang-Ke Huang:
Implementation of Parallel Simplified Swarm Optimization in CUDA. - Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab:
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. - Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi:
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. - Valerio Biscione, Jeffrey S. Bowers:
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training. - Per Christian Hansen, Ken Hayami, Keiichi Morikuni:
GMRES Methods for Tomographic Reconstruction with an Unmatched Back Projector. - Stella Douka, Hadi Abdine, Michalis Vazirgiannis, Rajaa El Hamdani, David Restrepo Amariles:
JuriBERT: A Masked-Language Model Adaptation for French Legal Text. - Shanny Lin, Shaohui Liu, Hao Zhu:
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids. - Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally, Michael Jones, Jeremy Kepner, Chad R. Meiners, Peter Michaleas, Adam Tse, Doug Stetson:
Realizing Forward Defense in the Cyber Domain. - Xie Chen, Zhong Meng, Sarangarajan Parthasarathy, Jinyu Li:
Factorized Neural Transducer for Efficient Language Model Adaptation. - Daniel Kiv, Garvita Allabadi, Berkay Kaplan, Robin Kravets:
smol: Sensing Soil Moisture using LoRa. - Emmanuelle Tognoli, Shihong Huang:
Emotionally-Informed Decisions: Bringing Gut's Feelings into Self-adaptive and Co-adaptive Software Systems. - Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller:
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations. - Gregor Betz, Kyle Richardson:
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models. - Jun Xian, Xiaoda Xu:
Expected uniform integration approximation under general equal measure partition. - Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun:
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. - Pratyusha Sharma, Antonio Torralba, Jacob Andreas:
Skill Induction and Planning with Latent Language. - Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers:
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. - Siyuan Zhou, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang:
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary. - Delong Qi, Kangli Hu, Weijun Tan, Qi Yao, Jingfeng Liu:
Balanced Masked and Standard Face Recognition. - Kanakesh Vatta Kkuni, Guangya Yang, Thyge Knueppel:
Analysis of the Implication of Current Limits in Grid Forming Wind Farm. - Thibault Lahire, Matthieu Geist, Emmanuel Rachelson:
Large Batch Experience Replay. - Jimmy Lin:
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval. - Zhanpeng He, Matei T. Ciocarlie:
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning. - Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. - Yuanjie Lu, Parastoo Kamranfar, David Lattanzi, Amarda Shehu:
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks. - Leon Frischauf, Otmar Scherzer, Cong Shi:
Universal approximation properties of shallow quadratic neural networks. - Fuchao Wei, Chenglong Bao, Yang Liu:
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. - Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song:
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. - John Xi Qiu, Adam Faulkner, Aysu Ezen-Can:
Towards Theme Detection in Personal Finance Questions. - Manuel R. Ciosici, Joe Cecil, Alex Hedges, Dong-Ho Lee, Marjorie Freedman, Ralph M. Weischedel:
Perhaps PTLMs Should Go to School - A Task to Assess Open Book and Closed Book QA. - Kaiqiang Xu, Xinchen Wan, Hao Wang, Zhenghang Ren, Xudong Liao, Decang Sun, Chaoliang Zeng, Kai Chen:
TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks. - Christopher Nesler, Gray C. Thomas, Nikhil Divekar, Elliott J. Rouse, Robert D. Gregg:
Enhancing Voluntary Motion with Modular, Backdrivable, Powered Hip and Knee Orthoses. - Samir Kumar Mishra, Digvijay Katyal, Sarvesha Anegundi Ganapathi:
A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes. - Eran Toch, Oshrat Ayalon:
How mass surveillance can crowd out installations of COVID-19 contact tracing apps. - Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He:
Learning Causal Representation for Face Transfer across Large Appearance Gap. - Neel Nanda, Jonathan Uesato, Sven Gowal:
An Empirical Investigation of Learning from Biased Toxicity Labels. - Djoko Suprijanto, Hopein Christofen Tang:
Skew cyclic codes over Z4+vZ4 with derivation. - Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan:
Information-theoretic generalization bounds for black-box learning algorithms. - Dan Yao, Stephen McLaughlin, Yoann Altmann:
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation. - Soheil Habibian, Benjamin B. Wheatley, Suehye Bae, Joon Shin, Keith W. Buffinton:
Evaluation of Two Complementary Modeling Approaches for Fiber-Reinforced Soft Actuators. - Lingjiao Chen, Leshang Chen, Hongyi Wang, Susan B. Davidson, Edgar Dobriban:
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients. - Amanda J. Strate, Randall Christensen:
Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles. - Zhaoyang Zhu, Haozhe Sun, Chi Zhang:
Effectiveness of Optimization Algorithms in Deep Image Classification. - Minghan Li, Jimmy Lin:
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering. - Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. - Stefano Gasperini, Jan Haug, Mohammad-Ali Nikouei Mahani, Alvaro Marcos-Ramiro, Nassir Navab, Benjamin Busam, Federico Tombari:
CertainNet: Sampling-free Uncertainty Estimation for Object Detection. - Thi-Thao-Phuong Hoang:
Optimized Ventcel-Schwarz waveform relaxation and mixed hybrid finite element method for transport problems. - Hugo Bertiche, Meysam Madadi, Sergio Escalera:
Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations. - Aurelio Patelli, Lorenzo Napolitano, Giulio Cimini, Andrea Gabrielli:
Geography of Science: Competitiveness and Inequality. - Vikram Ramesh, Vighnesh Natarajan, Anil Prabhakar:
A spatial-photonic Ising machine to solve the two-way number-partitioning problem. - Joshua Robertson, Paul Kirkland, Juan Arturo Alanis, Matej Hejda, Julián Bueno, Gaetano Di Caterina, Antonio Hurtado:
Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron. - Dominik Dold, Josep Soler Garrido:
An energy-based model for neuro-symbolic reasoning on knowledge graphs. - Sreeraj Ramachandran, Aakash Varma Nadimpalli, Ajita Rattani:
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition. - Anoop Krishnan, Ali Almadan, Ajita Rattani:
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults. - Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu:
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning. - Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee:
Pixel-Level Bijective Matching for Video Object Segmentation. - Marios Xanthidis, Michail Kalaitzakis, Nare Karapetyan, James Johnson, Nikolaos I. Vitzilaios, Jason M. O'Kane, Ioannis M. Rekleitis:
AquaVis: A Perception-Aware Autonomous Navigation Framework for Underwater Vehicles. - Deepayan Chakrabarti:
Robust Linear Classification from Limited Training Data. - Ling Zhang, Baosen Zhang:
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach. - Sifan Wang, Hanwen Wang, Paris Perdikaris:
Improved architectures and training algorithms for deep operator networks. - Andrei Chubarau, James J. Clark:
VTAMIQ: Transformers for Attention Modulated Image Quality Assessment. - Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
Cross-Modal Virtual Sensing for Combustion Instability Monitoring. - Prarabdh Raipurkar, Rohil Pal, Shanmuganathan Raman:
HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN. - Pit Schneider:
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement Prediction. - Vivak Patel, Bowen Tian, Shushu Zhang:
Global Convergence and Stability of Stochastic Gradient Descent. - Brian Quanz, Ajay Deshpande, Dahai Xing, Xuan Liu:
Learning to shortcut and shortlist order fulfillment deciding. - Eric Mason, Hrushikesh N. Mhaskar, Adam Guo:
A manifold learning approach for gesture identification from micro-Doppler radar measurements. - Gautham Ramajayam, Tao Sun, Chiu C. Tan, Lannan Luo, Haibin Ling:
Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications. - Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu, Marco Trincavelli:
Inductive learning for product assortment graph completion. - Satoshi Tsutsui, Ruta Desai, Karl Ridgeway:
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors. - Maciej Wojtala:
Irreversibility of Structure Tensors of Modules. - Beatriz Soret, Lam Duc Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, Petar Popovski:
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs. - Amirhossein Kazemipour, Maram Khatib, Khaled Al Khudir, Alessandro De Luca:
Motion Control of Redundant Robots with Generalised Inequality Constraints. - Tongshuang Wu, Michael Terry, Carrie J. Cai:
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. - Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day:
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. - Nemanja Stefan Perovic, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan:
On the Maximum Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel. - Ali Furkan Biten, Lluís Gómez i Bigorda, Dimosthenis Karatzas:
Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning. - Quinlan Dawkins, Minbiao Han, Haifeng Xu:
The Limits of Optimal Pricing in the Dark. - Stein K. F. Stoter, Etienne Jessen, Viktor Niedens, Dominik Schillinger:
A DEIM driven reduced basis method for the diffuse Stokes/Darcy model, applied to inverse subsurface characterization of in-situ leach mining. - Juan Gómez-Luna, Izzat El Hajj, Ivan Fernandez, Christina Giannoula, Geraldo F. Oliveira, Onur Mutlu:
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware. - Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, Tim Menzies:
PyTorrent: A Python Library Corpus for Large-scale Language Models. - Marcelo Forets, Christian Schilling:
LazySets.jl: Scalable Symbolic-Numeric Set Computations. - Michel Fliess, Cédric Join:
Elementary formulae for social distancing scenarios: Application to COVID-19 mitigation via feedback control. - Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs. - Sudam Surasinghe, Erik M. Bollt:
Randomized Projection Learning Method forDynamic Mode Decomposition. - Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor:
LLOL: Low-Latency Odometry for Spinning Lidars. - Ki-Hong Park, Mohamed-Slim Alouini, Yunfei Chen:
On-Demand Networking for Ubiquitous Connectivity and Network Resilience: A Network-in-a-Box Solution. - Arash Tavakoli, Arsalan Heydarian:
Multimodal Driver State Modeling through Unsupervised Learning. - Ulf Hanebutte, Andrew Baldwin, Senad Durakovic, Igor Filipovich, Chien-Chun Chou, Damian Adamowicz, Derek Chickles, David Hawkes:
Pre-Quantized Deep Learning Models Codified in ONNX to Enable Hardware/Software Co-Design. - Dmitry V. Gribanov, Dmitriy S. Malyshev:
Faster algorithm for counting of the integer points number in Δ-modular polyhedra. - Qing Wan, Yoonsuck Choe:
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators.