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