astro-ph.EP - 地球与行星天体

    cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.PR - 概率 math.ST - 统计理论 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.EP]Comparing Classification Models on Kepler Data
    • [cs.AI]A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
    • [cs.AI]Adaptive Synthetic Characters for Military Training
    • [cs.AI]Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
    • [cs.AI]Improving Training Result of Partially Observable Markov Decision Process by Filtering Beliefs
    • [cs.AI]Ludii Game Logic Guide
    • [cs.AI]Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
    • [cs.AI]TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
    • [cs.AI]Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity
    • [cs.CE]Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
    • [cs.CL]Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
    • [cs.CL]Deep Neural Network Based Relation Extraction: An Overview
    • [cs.CL]EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
    • [cs.CL]Order Embeddings from Merged Ontologies using Sketching
    • [cs.CL]Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
    • [cs.CL]SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering
    • [cs.CL]Taxonomy Completion via Triplet Matching Network
    • [cs.CL]Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling
    • [cs.CR]A Threat Modelling Approach to Analyze and Mitigate Botnet Attacks in Smart Home Use Case
    • [cs.CR]Model Extraction and Defenses on Generative Adversarial Networks
    • [cs.CV]A Robust Illumination-Invariant Camera System for Agricultural Applications
    • [cs.CV]A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection
    • [cs.CV]Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
    • [cs.CV]CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers
    • [cs.CV]Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation
    • [cs.CV]Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
    • [cs.CV]Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark
    • [cs.CV]ISETAuto: Detecting vehicles with depth and radiance information
    • [cs.CV]LAEO-Net++: revisiting people Looking At Each Other in videos
    • [cs.CV]Line Segment Detection Using Transformers without Edges
    • [cs.CV]Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning
    • [cs.CV]Modality-specific Distillation
    • [cs.CV]Multi-Stage Residual Hiding for Image-into-Audio Steganography
    • [cs.CV]Multi-object Tracking with a Hierarchical Single-branch Network
    • [cs.CV]On the Tightness of Semidefinite Relaxations for Rotation Estimation
    • [cs.CV]On-Device Document Classification using multimodal features
    • [cs.CV]Predicting Forest Fire Using Remote Sensing Data And Machine Learning
    • [cs.CV]RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
    • [cs.CV]Shallow-UWnet : Compressed Model for Underwater Image Enhancement
    • [cs.CV]Smile and Laugh Expressions Detection Based on Local Minimum Key Points
    • [cs.CV]TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking
    • [cs.CV]Weakly-Supervised Multi-Face 3D Reconstruction
    • [cs.CY]Abusive Advertising: Scrutinizing socially relevant algorithms in a black box analysis to examine their impact on vulnerable patient groups in the health sector
    • [cs.CY]Detection and Prediction of Infectious Diseases Using IoT Sensors: A Review
    • [cs.CY]Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions
    • [cs.CY]Learning about the reduction of food waste using Blockchain technology
    • [cs.CY]Towards an Abolitionist AI: the role of Historically Black Colleges and Universities
    • [cs.DC]Highway: Efficient Consensus with Flexible Finality
    • [cs.DS]Minor Sparsifiers and the Distributed Laplacian Paradigm
    • [cs.HC]Efficiency of Using Utility for Usernames Verification in Online Community Management
    • [cs.HC]Exploring Semi-Supervised Learning for Predicting Listener Backchannels
    • [cs.HC]Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better?
    • [cs.IR]A Multilayer Correlated Topic Model
    • [cs.IR]COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data
    • [cs.IR]Transformer-based approach towards music emotion recognition from lyrics
    • [cs.IT]Aerial-Ground Interference Mitigation for Cellular-Connected UAV
    • [cs.IT]Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
    • [cs.IT]Impact of Inter-Channel Interference on Shallow Underwater Acoustic OFDM Systems
    • [cs.IT]Low-Complexity Interference Cancellation Algorithms for Detection in Media-based Modulated Uplink Massive-MIMO Systems
    • [cs.IT]Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT
    • [cs.IT]Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
    • [cs.LG]3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
    • [cs.LG]A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation
    • [cs.LG]A unifying approach on bias and variance analysis for classification
    • [cs.LG]Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
    • [cs.LG]AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
    • [cs.LG]Bayesian Inference of Random Dot Product Graphs via Conic Programming
    • [cs.LG]Cauchy-Schwarz Regularized Autoencoder
    • [cs.LG]Data-Driven Copy-Paste Imputation for Energy Time Series
    • [cs.LG]Deep Reinforcement Learning with Quantum-inspired Experience Replay
    • [cs.LG]Do We Really Need Deep Learning Models for Time Series Forecasting?
    • [cs.LG]Fairness with Continuous Optimal Transport
    • [cs.LG]Geometric Entropic Exploration
    • [cs.LG]Hierarchical Sampler for Probabilistic Programs via Separation of Control and Data
    • [cs.LG]Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI
    • [cs.LG]Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
    • [cs.LG]Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
    • [cs.LG]Online Multivalid Learning: Means, Moments, and Prediction Intervals
    • [cs.LG]Phase Transitions in Transfer Learning for High-Dimensional Perceptrons
    • [cs.LG]Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows
    • [cs.LG]Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
    • [cs.LG]Reinforcement Learning with Latent Flow
    • [cs.LG]Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning
    • [cs.LG]Smoothed functional-based gradient algorithms for off-policy reinforcement learning
    • [cs.LG]Statistical learning for accurate and interpretable battery lifetime prediction
    • [cs.LG]The Shapley Value of Classifiers in Ensemble Games
    • [cs.LG]The data synergy effects of time-series deep learning models in hydrology
    • [cs.LG]dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
    • [cs.NE]Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
    • [cs.NI]Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
    • [cs.NI]IPLS : A Framework for Decentralized Federated Learning
    • [cs.RO]A Survey of Deep RL and IL for Autonomous Driving Policy Learning
    • [cs.RO]Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation
    • [cs.RO]An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
    • [cs.RO]Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots
    • [cs.RO]Dynamic Prioritization for Conflict-Free Path Planning of Multi-Robot Systems
    • [cs.RO]Latency Overhead of ROS2 for Modular Time-Critical Systems
    • [cs.RO]One-shot Policy Elicitation via Semantic Reward Manipulation
    • [cs.RO]Optimized Execution of PDDL Plans using Behavior Trees
    • [cs.RO]Shape Control of Elastic Objects Based on Implicit Sensorimotor Models and Data-Driven Geometric Features
    • [cs.SD]Environment Transfer for Distributed Systems
    • [cs.SD]Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings
    • [cs.SD]Interspeech 2021 Deep Noise Suppression Challenge
    • [cs.SD]Investigating the efficacy of music version retrieval systems for setlist identification
    • [cs.SI]Behavior Change in Response to Subreddit Bans and External Events
    • [cs.SI]MEDICI: A simple to use synthetic social network data generator
    • [cs.SI]The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
    • [cs.SI]What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
    • [eess.IV]A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
    • [eess.IV]Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery
    • [eess.IV]Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks
    • [eess.SP]Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review
    • [eess.SY]Constrained optimisation of preliminary spacecraft configurations under the design-for-demise paradigm
    • [eess.SY]Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
    • [math.DS]Constrained Block Nonlinear Neural Dynamical Models
    • [math.PR]Bernstein-Type Bounds for Beta Distribution
    • [math.PR]Generalized Stochastic Processes as Linear Transformations of White Noise
    • [math.ST]Factor Modelling for Clustering High-dimensional Time Series
    • [q-fin.RM]Liquidity Stress Testing in Asset Management — Part 1. Modeling the Liability Liquidity Risk
    • [quant-ph]Connecting ansatz expressibility to gradient magnitudes and barren plateaus
    • [stat.AP]A Probabilistic Model for Predicting Shot Success in Football
    • [stat.AP]Classification of chemical compounds based on the correlation between \textit{in vitro} gene expression profiles
    • [stat.AP]Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
    • [stat.CO]Scalable Feature Matching Across Large Data Collections
    • [stat.ME]A Comparison of Single and Multiple Changepoint Techniques for Time Series Data
    • [stat.ME]Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation
    • [stat.ME]Joint Variable Selection of both Fixed and Random Effects for Gaussian Process-based Spatially Varying Coefficient Models
    • [stat.ME]Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data
    • [stat.ML]Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
    • [stat.ML]Minibatch optimal transport distances; analysis and applications

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    • [astro-ph.EP]Comparing Classification Models on Kepler Data
    Rohan Saha
    http://arxiv.org/abs/2101.01904v1

    • [cs.AI]A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints
    Alexis de Colnet
    http://arxiv.org/abs/2101.01953v1

    • [cs.AI]Adaptive Synthetic Characters for Military Training
    Volkan Ustun, Rajay Kumar, Adam Reilly, Seyed Sajjadi, Andrew Miller
    http://arxiv.org/abs/2101.02185v1

    • [cs.AI]Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
    Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci
    http://arxiv.org/abs/2101.02082v1

    • [cs.AI]Improving Training Result of Partially Observable Markov Decision Process by Filtering Beliefs
    Oscar LiJen Hsu
    http://arxiv.org/abs/2101.02178v1

    • [cs.AI]Ludii Game Logic Guide
    Eric Piette, Cameron Browne, Dennis J. N. J. Soemers
    http://arxiv.org/abs/2101.02120v1

    • [cs.AI]Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
    Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
    http://arxiv.org/abs/2101.01883v1

    • [cs.AI]TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
    Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen
    http://arxiv.org/abs/2101.02046v1

    • [cs.AI]Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity
    Xiaobo Liu, Su Yang
    http://arxiv.org/abs/2101.01973v1

    • [cs.CE]Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets
    Nishanth Nakshatri, Arjun Menon, C. Lee Giles, Sarah Rajtmajer, Christopher Griffin
    http://arxiv.org/abs/2101.01787v1

    • [cs.CL]Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
    Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu
    http://arxiv.org/abs/2101.01926v1

    • [cs.CL]Deep Neural Network Based Relation Extraction: An Overview
    Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu
    http://arxiv.org/abs/2101.01907v1

    • [cs.CL]EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
    Sofian Chaybouti
    http://arxiv.org/abs/2101.02157v1

    • [cs.CL]Order Embeddings from Merged Ontologies using Sketching
    Kenneth L. Clarkson, Sanjana Sahayaraj
    http://arxiv.org/abs/2101.02158v1

    • [cs.CL]Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
    Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki
    http://arxiv.org/abs/2101.01775v1

    • [cs.CL]SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering
    Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao
    http://arxiv.org/abs/2101.01910v1

    • [cs.CL]Taxonomy Completion via Triplet Matching Network
    Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze chen, Jiaming Shen, Yuning Mao, Lei Li
    http://arxiv.org/abs/2101.01896v1

    • [cs.CL]Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling
    Sofia Oliveira, Daniel Loureiro, Alípio Jorge
    http://arxiv.org/abs/2101.01213v2

    • [cs.CR]A Threat Modelling Approach to Analyze and Mitigate Botnet Attacks in Smart Home Use Case
    Syed Ghazanfar Abbas, Shahzaib Zahid, Faisal Hussain, Ghalib A. Shah, Muhammad Husnain
    http://arxiv.org/abs/2101.02147v1

    • [cs.CR]Model Extraction and Defenses on Generative Adversarial Networks
    Hailong Hu, Jun Pang
    http://arxiv.org/abs/2101.02069v1

    • [cs.CV]A Robust Illumination-Invariant Camera System for Agricultural Applications
    Abhisesh Silwal, Tanvir Parhar, Francisco Yandun, George Kantor
    http://arxiv.org/abs/2101.02190v1

    • [cs.CV]A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection
    Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman
    http://arxiv.org/abs/2101.02047v1

    • [cs.CV]Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
    Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
    http://arxiv.org/abs/2101.02115v1

    • [cs.CV]CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers
    Yingfu Xu, Guido C. H. E. de Croon
    http://arxiv.org/abs/2101.01841v1

    • [cs.CV]Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation
    Yizi Chen, Edwin Carlinet, Joseph Chazalon, Clément Mallet, Bertrand Duménieu, Julien Perret
    http://arxiv.org/abs/2101.02144v1

    • [cs.CV]Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
    Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2101.02196v1

    • [cs.CV]Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark
    Reem Abdel-Salam, Rana Mostafa, Mayada Hadhood
    http://arxiv.org/abs/2101.01665v2

    • [cs.CV]ISETAuto: Detecting vehicles with depth and radiance information
    Zhenyi Liu, Joyce Farrell, Brian Wandell
    http://arxiv.org/abs/2101.01843v1

    • [cs.CV]LAEO-Net++: revisiting people Looking At Each Other in videos
    Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman
    http://arxiv.org/abs/2101.02136v1

    • [cs.CV]Line Segment Detection Using Transformers without Edges
    Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu
    http://arxiv.org/abs/2101.01909v1

    • [cs.CV]Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning
    Qiaojun Feng, Nikolay Atanasov
    http://arxiv.org/abs/2101.01844v1

    • [cs.CV]Modality-specific Distillation
    Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
    http://arxiv.org/abs/2101.01881v1

    • [cs.CV]Multi-Stage Residual Hiding for Image-into-Audio Steganography
    Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao
    http://arxiv.org/abs/2101.01872v1

    • [cs.CV]Multi-object Tracking with a Hierarchical Single-branch Network
    Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long
    http://arxiv.org/abs/2101.01984v1

    • [cs.CV]On the Tightness of Semidefinite Relaxations for Rotation Estimation
    Lucas Brynte, Viktor Larsson, José Pedro Iglesias, Carl Olsson, Fredrik Kahl
    http://arxiv.org/abs/2101.02099v1

    • [cs.CV]On-Device Document Classification using multimodal features
    Sugam Garg, Harichandana, Sumit Kumar
    http://arxiv.org/abs/2101.01880v1

    • [cs.CV]Predicting Forest Fire Using Remote Sensing Data And Machine Learning
    Suwei Yang, Massimo Lupascu, Kuldeep S. Meel
    http://arxiv.org/abs/2101.01975v1

    • [cs.CV]RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
    Shohrukh Bekmirzaev
    http://arxiv.org/abs/2101.02127v1

    • [cs.CV]Shallow-UWnet : Compressed Model for Underwater Image Enhancement
    Ankita Naik, Apurva Swarnakar, Kartik Mittal
    http://arxiv.org/abs/2101.02073v1

    • [cs.CV]Smile and Laugh Expressions Detection Based on Local Minimum Key Points
    Mina Mohammadi Dashti, Majid Harouni
    http://arxiv.org/abs/2101.01874v1

    • [cs.CV]TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking
    Jie Zhang
    http://arxiv.org/abs/2101.01861v1

    • [cs.CV]Weakly-Supervised Multi-Face 3D Reconstruction
    Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi
    http://arxiv.org/abs/2101.02000v1

    • [cs.CY]Abusive Advertising: Scrutinizing socially relevant algorithms in a black box analysis to examine their impact on vulnerable patient groups in the health sector
    Martin Reber
    http://arxiv.org/abs/2101.02018v1

    • [cs.CY]Detection and Prediction of Infectious Diseases Using IoT Sensors: A Review
    Mohammad Meraj, Surendra Pal Singh, Prashant Johri, Mohammad Tabrez Quasim
    http://arxiv.org/abs/2101.02029v1

    • [cs.CY]Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions
    Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja
    http://arxiv.org/abs/2101.02030v1

    • [cs.CY]Learning about the reduction of food waste using Blockchain technology
    Monica-Paula Marin, Iuliana Marin, Livia Vidu
    http://arxiv.org/abs/2101.02026v1

    • [cs.CY]Towards an Abolitionist AI: the role of Historically Black Colleges and Universities
    Charles C. Earl
    http://arxiv.org/abs/2101.02011v1

    • [cs.DC]Highway: Efficient Consensus with Flexible Finality
    Daniel Kane, Andreas Fackler, Adam Gągol, Damian Straszak, Vlad Zamfir
    http://arxiv.org/abs/2101.02159v1

    • [cs.DS]Minor Sparsifiers and the Distributed Laplacian Paradigm
    Sebastian Forster, Gramoz Goranci, Yang P. Liu, Richard Peng, Xiaorui Sun, Mingquan Ye
    http://arxiv.org/abs/2012.15675v2

    • [cs.HC]Efficiency of Using Utility for Usernames Verification in Online Community Management
    Solomiia Fedushko, Yuriy Syerov, Oleksandr Skybinskyi, Nataliya Shakhovska, Zoryana Kunch
    http://arxiv.org/abs/2101.01718v1

    • [cs.HC]Exploring Semi-Supervised Learning for Predicting Listener Backchannels
    Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla
    http://arxiv.org/abs/2101.01899v1

    • [cs.HC]Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better?
    Hee-Seung Moon, Jiwon Seo
    http://arxiv.org/abs/2101.01870v1

    • [cs.IR]A Multilayer Correlated Topic Model
    Ye Tian
    http://arxiv.org/abs/2101.02028v1

    • [cs.IR]COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data
    Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy Devarakonda
    http://arxiv.org/abs/2101.02017v1

    • [cs.IR]Transformer-based approach towards music emotion recognition from lyrics
    Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri
    http://arxiv.org/abs/2101.02051v1

    • [cs.IT]Aerial-Ground Interference Mitigation for Cellular-Connected UAV
    Weidong Mei, Rui Zhang
    http://arxiv.org/abs/2101.01859v1

    • [cs.IT]Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
    Xizixiang Wei, Cong Shen
    http://arxiv.org/abs/2101.02198v1

    • [cs.IT]Impact of Inter-Channel Interference on Shallow Underwater Acoustic OFDM Systems
    Do Viet Ha, Tien Hoa Nguyen, Van Duc Nguyen
    http://arxiv.org/abs/2101.02089v1

    • [cs.IT]Low-Complexity Interference Cancellation Algorithms for Detection in Media-based Modulated Uplink Massive-MIMO Systems
    Manish Mandloi, Devendra Singh Gurjar
    http://arxiv.org/abs/2101.01905v1

    • [cs.IT]Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT
    Addanki Prathima, Devendra Singh Gurjar, Ha H. Nguyen, Ajay Bhardwaj
    http://arxiv.org/abs/2101.01897v1

    • [cs.IT]Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
    Jinle Zhu, Qiang Li, Hongyang Chen, H. Vincent Poor
    http://arxiv.org/abs/2101.01985v1

    • [cs.LG]3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
    Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K Boor, Soumalya Sarkar, Satyanarayanan R Chakravarthy, Soumik Sarkar
    http://arxiv.org/abs/2101.01877v1

    • [cs.LG]A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation
    Hiroaki Sasaki, Takashi Takenouchi
    http://arxiv.org/abs/2101.02083v1

    • [cs.LG]A unifying approach on bias and variance analysis for classification
    Cemre Zor, Terry Windeatt
    http://arxiv.org/abs/2101.01765v1

    • [cs.LG]Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
    Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo
    http://arxiv.org/abs/2101.02121v1

    • [cs.LG]AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
    Hieu Pham, Quoc V. Le
    http://arxiv.org/abs/2101.01761v1

    • [cs.LG]Bayesian Inference of Random Dot Product Graphs via Conic Programming
    David Wu, David R. Palmer, Daryl R. Deford
    http://arxiv.org/abs/2101.02180v1

    • [cs.LG]Cauchy-Schwarz Regularized Autoencoder
    Linh Tran, Maja Pantic, Marc Peter Deisenroth
    http://arxiv.org/abs/2101.02149v1

    • [cs.LG]Data-Driven Copy-Paste Imputation for Energy Time Series
    Moritz Weber, Marian Turowski, Hüseyin K. Çakmak, Ralf Mikut, Uwe Kühnapfel, Veit Hagenmeyer
    http://arxiv.org/abs/2101.01423v1

    • [cs.LG]Deep Reinforcement Learning with Quantum-inspired Experience Replay
    Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong
    http://arxiv.org/abs/2101.02034v1

    • [cs.LG]Do We Really Need Deep Learning Models for Time Series Forecasting?
    Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa
    http://arxiv.org/abs/2101.02118v1

    • [cs.LG]Fairness with Continuous Optimal Transport
    Silvia Chiappa, Aldo Pacchiano
    http://arxiv.org/abs/2101.02084v1

    • [cs.LG]Geometric Entropic Exploration
    Zhaohan Daniel Guo, Mohammad Gheshlagi Azar, Alaa Saade, Shantanu Thakoor, Bilal Piot, Bernardo Avila Pires, Michal Valko, Thomas Mesnard, Tor Lattimore, Rémi Munos
    http://arxiv.org/abs/2101.02055v1

    • [cs.LG]Hierarchical Sampler for Probabilistic Programs via Separation of Control and Data
    Ichiro Hasuo, Yuichiro Oyabu, Clovis Eberhart, Kohei Suenaga, Kenta Cho, Shin-ya Katsumata
    http://arxiv.org/abs/2101.01502v1

    • [cs.LG]Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI
    M. Ali Vosoughi, Axel Wismuller
    http://arxiv.org/abs/2101.01832v1

    • [cs.LG]Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
    Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
    http://arxiv.org/abs/2101.00746v3

    • [cs.LG]Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
    Hao Yuan, Shuiwang Ji
    http://arxiv.org/abs/2101.01849v1

    • [cs.LG]Online Multivalid Learning: Means, Moments, and Prediction Intervals
    Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth
    http://arxiv.org/abs/2101.01739v1

    • [cs.LG]Phase Transitions in Transfer Learning for High-Dimensional Perceptrons
    Oussama Dhifallah, Yue M. Lu
    http://arxiv.org/abs/2101.01918v1

    • [cs.LG]Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows
    Cathal Ryan, Christophe Gúeret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee
    http://arxiv.org/abs/2101.02188v1

    • [cs.LG]Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
    Tianhao Wang, Dongruo Zhou, Quanquan Gu
    http://arxiv.org/abs/2101.02195v1

    • [cs.LG]Reinforcement Learning with Latent Flow
    Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
    http://arxiv.org/abs/2101.01857v1

    • [cs.LG]Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning
    Blanca Vazquez, Gibran Fuentes, Fabian Garcia, Gabriela Borrayo, Juan Prohias
    http://arxiv.org/abs/2101.01835v1

    • [cs.LG]Smoothed functional-based gradient algorithms for off-policy reinforcement learning
    Nithia Vijayan, Prashanth L. A
    http://arxiv.org/abs/2101.02137v1

    • [cs.LG]Statistical learning for accurate and interpretable battery lifetime prediction
    Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer
    http://arxiv.org/abs/2101.01885v1

    • [cs.LG]The Shapley Value of Classifiers in Ensemble Games
    Benedek Rozemberczki, Rik Sarkar
    http://arxiv.org/abs/2101.02153v1

    • [cs.LG]The data synergy effects of time-series deep learning models in hydrology
    Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen
    http://arxiv.org/abs/2101.01876v1

    • [cs.LG]dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
    Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
    http://arxiv.org/abs/2101.01867v1

    • [cs.NE]Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
    Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
    http://arxiv.org/abs/2101.01998v1

    • [cs.NI]Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks
    Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed
    http://arxiv.org/abs/2101.01847v1

    • [cs.NI]IPLS : A Framework for Decentralized Federated Learning
    Christodoulos Pappas, Dimitris Chatzopoulos, Spyros Lalis, Manolis Vavalis
    http://arxiv.org/abs/2101.01901v1

    • [cs.RO]A Survey of Deep RL and IL for Autonomous Driving Policy Learning
    Zeyu Zhu, Huijing Zhao
    http://arxiv.org/abs/2101.01993v1

    • [cs.RO]Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation
    Arash Asgharivaskasi, Nikolay Atanasov
    http://arxiv.org/abs/2101.01831v1

    • [cs.RO]**An A Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation
    Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava
    http://arxiv.org/abs/2101.01774v1

    • [cs.RO]Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots
    Mohak Sukhwani, Vishakh Duggal, Said Zahrai
    http://arxiv.org/abs/2101.01099v2

    • [cs.RO]Dynamic Prioritization for Conflict-Free Path Planning of Multi-Robot Systems
    Aditya Rathi, Rohith G, Madhu Vadali
    http://arxiv.org/abs/2101.01978v1

    • [cs.RO]Latency Overhead of ROS2 for Modular Time-Critical Systems
    Tobias Kronauer, Joshwa Pohlmann, Maximilian Matthe, Till Smejkal, Gerhard Fettweis
    http://arxiv.org/abs/2101.02074v1

    • [cs.RO]One-shot Policy Elicitation via Semantic Reward Manipulation
    Aaquib Tabrez, Ryan Leonard, Bradley Hayes
    http://arxiv.org/abs/2101.01860v1

    • [cs.RO]Optimized Execution of PDDL Plans using Behavior Trees
    Francisco Martín, Matteo Morelli, Huascar Espinoza, Francisco J. G. Lera, Vicente Matellán
    http://arxiv.org/abs/2101.01964v1

    • [cs.RO]Shape Control of Elastic Objects Based on Implicit Sensorimotor Models and Data-Driven Geometric Features
    Wanyu Ma, Jihong Zhu, David Navarro-Alarcon
    http://arxiv.org/abs/2101.01889v1

    • [cs.SD]Environment Transfer for Distributed Systems
    Chunheng Jiang, Jae-wook Ahn, Nirmit Desai
    http://arxiv.org/abs/2101.01863v1

    • [cs.SD]Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings
    Xuankai Chang, Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Takuya Yoshioka
    http://arxiv.org/abs/2101.01853v1

    • [cs.SD]Interspeech 2021 Deep Noise Suppression Challenge
    Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan
    http://arxiv.org/abs/2101.01902v1

    • [cs.SD]Investigating the efficacy of music version retrieval systems for setlist identification
    Furkan Yesiler, Emilio Molina, Joan Serrà, Emilia Gómez
    http://arxiv.org/abs/2101.02098v1

    • [cs.SI]Behavior Change in Response to Subreddit Bans and External Events
    Pamela Bilo Thomas, Daniel Riehm, Maria Glenski, Tim Weninger
    http://arxiv.org/abs/2101.01793v1

    • [cs.SI]MEDICI: A simple to use synthetic social network data generator
    David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol
    http://arxiv.org/abs/2101.01956v1

    • [cs.SI]The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
    Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan
    http://arxiv.org/abs/2101.02113v1

    • [cs.SI]What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
    Annika Kreil, Andranik Tumasjan, Taha Yasseri, Isabell Welpe
    http://arxiv.org/abs/2101.01270v2

    • [eess.IV]A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions
    Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei
    http://arxiv.org/abs/2101.01886v1

    • [eess.IV]Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery
    Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li
    http://arxiv.org/abs/2101.01976v1

    • [eess.IV]Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks
    Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
    http://arxiv.org/abs/2101.02194v1

    • [eess.SP]Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review
    Hassan Raji, Muhammad Tayyab, Jianye Sui, Seyed Reza Mahmoodi, Mehdi Javanmard
    http://arxiv.org/abs/2101.01866v1

    • [eess.SY]Constrained optimisation of preliminary spacecraft configurations under the design-for-demise paradigm
    Mirko Trisolini, Hugh G. Lewis, Camilla Colombo
    http://arxiv.org/abs/2101.01558v1

    • [eess.SY]Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
    Michael Everett, Golnaz Habibi, Jonathan P. How
    http://arxiv.org/abs/2101.01815v1

    • [math.DS]Constrained Block Nonlinear Neural Dynamical Models
    Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Jan Drgona, Draguna Vrabie
    http://arxiv.org/abs/2101.01864v1

    • [math.PR]Bernstein-Type Bounds for Beta Distribution
    Maciej Skorski
    http://arxiv.org/abs/2101.02094v1

    • [math.PR]Generalized Stochastic Processes as Linear Transformations of White Noise
    R. Carrizo Vergara
    http://arxiv.org/abs/2101.01839v1

    • [math.ST]Factor Modelling for Clustering High-dimensional Time Series
    Bo Zhang, Guangming Pan, Qiwei Yao, Wang Zhou
    http://arxiv.org/abs/2101.01908v1

    • [q-fin.RM]Liquidity Stress Testing in Asset Management — Part 1. Modeling the Liability Liquidity Risk
    Thierry Roncalli, Fatma Karray-Meziou, François Pan, Margaux Regnault
    http://arxiv.org/abs/2101.02110v1

    • [quant-ph]Connecting ansatz expressibility to gradient magnitudes and barren plateaus
    Zoë Holmes, Kunal Sharma, M. Cerezo, Patrick J. Coles
    http://arxiv.org/abs/2101.02138v1

    • [stat.AP]A Probabilistic Model for Predicting Shot Success in Football
    Edward Wheatcroft, Ewelina Sienkiewicz
    http://arxiv.org/abs/2101.02104v1

    • [stat.AP]Classification of chemical compounds based on the correlation between \textit{in vitro} gene expression profiles
    Jun-ichi Takeshita, Akinobu Toyoda, Hidenori Tani, Yasunori Endo, Sadaaki Miyamoto
    http://arxiv.org/abs/2101.01837v1

    • [stat.AP]Detection of foraging behavior from accelerometer data using U-Net type convolutional networks
    Manh Cuong Ngô, Raghavendra Selvan, Outi Tervo, Mads Peter Heide-Jørgensen, Susanne Ditlevsen
    http://arxiv.org/abs/2101.01992v1

    • [stat.CO]Scalable Feature Matching Across Large Data Collections
    David Degras
    http://arxiv.org/abs/2101.02035v1

    • [stat.ME]A Comparison of Single and Multiple Changepoint Techniques for Time Series Data
    Xueheng Shi, Colin Gallagher, Robert Lund, Rebecca Killick
    http://arxiv.org/abs/2101.01960v1

    • [stat.ME]Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation
    Solt Kovács, Tobias Ruckstuhl, Helena Obrist, Peter Bühlmann
    http://arxiv.org/abs/2101.02148v1

    • [stat.ME]Joint Variable Selection of both Fixed and Random Effects for Gaussian Process-based Spatially Varying Coefficient Models
    Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
    http://arxiv.org/abs/2101.01932v1

    • [stat.ME]Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data
    Wangshu Tu, Sanjeena Subedi
    http://arxiv.org/abs/2101.01871v1

    • [stat.ML]Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
    Ansgar Steland, Bart E. Pieters
    http://arxiv.org/abs/2101.01990v1

    • [stat.ML]Minibatch optimal transport distances; analysis and applications
    Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
    http://arxiv.org/abs/2101.01792v1