cs.AI - 人工智能 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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.chem-ph -化学物理 physics.ins-det - 仪器和探测器 physics.med-ph - 医学物理学 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Causal query in observational data with hidden variables
    • [cs.AI]Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
    • [cs.AI]Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
    • [cs.AI]Smart Induction for Isabelle/HOL (System Description)
    • [cs.AI]Stochastic L-system Inference from Multiple String Sequence Inputs
    • [cs.AI]Towards Multi-perspective conformance checking with fuzzy sets
    • [cs.CL]AMR Similarity Metrics from Principles
    • [cs.CL]Interpretable Rumor Detection in Microblogs by Attending to User Interactions
    • [cs.CL]Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
    • [cs.CR]A4 : Evading Learning-based Adblockers
    • [cs.CR]Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
    • [cs.CR]On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
    • [cs.CR]Privacy-Preserving Gaussian Process Regression — A Modular Approach to the Application of Homomorphic Encryption
    • [cs.CV]A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators
    • [cs.CV]ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
    • [cs.CV]Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
    • [cs.CV]CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
    • [cs.CV]Comparison of scanned administrative document images
    • [cs.CV]Depth Based Semantic Scene Completion with Position Importance Aware Loss
    • [cs.CV]Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm
    • [cs.CV]Evaluating the Progress of Deep Learning for Visual Relational Concepts
    • [cs.CV]H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution
    • [cs.CV]ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
    • [cs.CV]On Learning Vehicle Detection in Satellite Video
    • [cs.CV]Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
    • [cs.CV]PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
    • [cs.CV]Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
    • [cs.CV]Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar
    • [cs.CV]Virtual KITTI 2
    • [cs.CY]A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning
    • [cs.CY]Systematic Review of Approaches to Improve Peer Assessment at Scale
    • [cs.CY]WikiHist.html: English Wikipedia’s Full Revision History in HTML Format
    • [cs.DC]Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
    • [cs.GT]Bounded Incentives in Manipulating the Probabilistic Serial Rule
    • [cs.HC]You, Me, and IoT: How Internet-Connected Home Devices Affect Interpersonal Relationships
    • [cs.IR]Aspect-based Academic Search using Domain-specific KB
    • [cs.IR]Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
    • [cs.IT]A Class of Lower Bounds for Bayesian Risk with a Bregman Loss
    • [cs.IT]A kind of quaternary sequences of period $2pn$ and their linear complexity
    • [cs.IT]Array Codes for Functional PIR and Batch Codes
    • [cs.IT]Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination
    • [cs.IT]Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G
    • [cs.IT]Exploiting Randomly-located Blockages for Large-Scale Deployment of Intelligent Surfaces
    • [cs.IT]Multisequences with high joint nonlinear complexity from function fields
    • [cs.IT]On the Impact of Phase Shifting Designs on IRS-NOMA
    • [cs.IT]Optimal Augmented-Channel Puncturing for Low-Complexity Soft-Output MIMO Detectors
    • [cs.IT]Partial Updates: Losing Information for Freshness
    • [cs.IT]Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints
    • [cs.IT]Shifted Pruning for List Decoding of Polar Codes
    • [cs.IT]Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
    • [cs.LG]Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
    • [cs.LG]Bayesian Neural Architecture Search using A Training-Free Performance Metric
    • [cs.LG]Examining the Benefits of Capsule Neural Networks
    • [cs.LG]Extreme Algorithm Selection With Dyadic Feature Representation
    • [cs.LG]Fast Rates for Online Prediction with Abstention
    • [cs.LG]Graph Neighborhood Attentive Pooling
    • [cs.LG]Identifying Mislabeled Data using the Area Under the Margin Ranking
    • [cs.LG]Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
    • [cs.LG]MEMO: A Deep Network for Flexible Combination of Episodic Memories
    • [cs.LG]Modelling and Quantifying Membership Information Leakage in Machine Learning
    • [cs.LG]Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
    • [cs.LG]The Case for Bayesian Deep Learning
    • [cs.LG]The Indian Chefs Process
    • [cs.LG]The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
    • [cs.LG]Treatment effect estimation with disentangled latent factors
    • [cs.LG]Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
    • [cs.MM]An Effective Automatic Image Annotation Model Via Attention Model and Data Equilibrium
    • [cs.NE]Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study
    • [cs.NE]Learning Absolute Sound Source Localisation With Limited Supervisions
    • [cs.NE]Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
    • [cs.NI]IoT Behavioral Monitoring via Network Traffic Analysis
    • [cs.RO]Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points
    • [cs.RO]Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running
    • [cs.RO]Whole-Body Bilateral Teleoperation of a Redundant Aerial Manipulator
    • [cs.SE]The Rockerverse: Packages and Applications for Containerization with R
    • [cs.SI]Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending
    • [cs.SI]Don’t Feed the Troll: Detecting Troll Behavior via Inverse Reinforcement Learning
    • [cs.SI]Exact Blind Community Detection from Signals on Multiple Graphs
    • [cs.SI]Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
    • [cs.SI]HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019
    • [cs.SI]Stable and Efficient Structures in Multigroup Network Formation
    • [eess.AS]Audio-Visual Decision Fusion for WFST-based and seq2seq Models
    • [eess.AS]Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
    • [eess.AS]Improving Language Identification for Multilingual Speakers
    • [eess.AS]Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
    • [eess.AS]Masked cross self-attention encoding for deep speaker embedding
    • [eess.AS]Multi-task Learning for Speaker Verification and Voice Trigger Detection
    • [eess.AS]Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition
    • [eess.IV]Deep Learning in Multi-organ Segmentation
    • [eess.IV]Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
    • [eess.IV]Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance
    • [eess.IV]Unsupervised Anomaly Detection for X-Ray Images
    • [eess.SP]Data integration and prediction models of photovoltaic production from Brazilian northeastern
    • [eess.SP]Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R
    • [eess.SP]Low Complexity Iterative Rake Detector for Orthogonal Time Frequency Space Modulation
    • [eess.SY]The Voltage Regulation of Boost Converters Using Dual Heuristic Programming
    • [math.OC]A Class of Linear Programs Solvable by Coordinate-wise Minimization
    • [math.OC]Reduced-Space Interior Point Methods in Power Grid Problems
    • [math.PR]High-dimensional Central Limit Theorems by Stein’s Method
    • [math.ST]Adaptive Estimation and Statistical Inference for High-Dimensional Graph-Based Linear Models
    • [math.ST]Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models
    • [math.ST]Data-driven aggregation in non-parametric density estimation on the real line
    • [math.ST]Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
    • [math.ST]Modifications of Simon text model
    • [math.ST]On the behavior of extreme $d$-dimensional spatial quantiles under minimal assumptions
    • [physics.chem-ph]Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
    • [physics.ins-det]Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
    • [physics.med-ph]Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation
    • [q-bio.QM]Reducing complexity and unidentifiability when modelling human atrial cells
    • [quant-ph]Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits
    • [stat.AP]BUDD: Multi-modal Bayesian Updating Deforestation Detections
    • [stat.ME]Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models
    • [stat.ME]M-estimation in GARCH models without higher order moments
    • [stat.ME]Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement
    • [stat.ME]Penalized angular regression for personalized predictions
    • [stat.ME]Quantifying Observed Prior Impact
    • [stat.ME]The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
    • [stat.ML]A scale-dependent notion of effective dimension
    • [stat.ML]An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
    • [stat.ML]Binary Classification from Positive Data with Skewed Confidence
    • [stat.ML]Functional Sequential Treatment Allocation with Covariates
    • [stat.ML]On Newton Screening
    • [stat.ML]Technical Background for “A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis”

    ·····································

    • [cs.AI]Causal query in observational data with hidden variables
    Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
    http://arxiv.org/abs/2001.10269v2

    • [cs.AI]Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
    Nihar Bendre, Nima Ebadi, Paul Rad
    http://arxiv.org/abs/2001.10953v1

    • [cs.AI]Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
    Ioannis Papantonis, Vaishak Belle
    http://arxiv.org/abs/2001.10905v1

    • [cs.AI]Smart Induction for Isabelle/HOL (System Description)
    Yutaka Nagashima
    http://arxiv.org/abs/2001.10834v1

    • [cs.AI]Stochastic L-system Inference from Multiple String Sequence Inputs
    Jason Bernard, Ian McQuillan
    http://arxiv.org/abs/2001.10922v1

    • [cs.AI]Towards Multi-perspective conformance checking with fuzzy sets
    Sicui Zhang, Laura Genga, Hui Yan, Xudong Lu, Huilong Duan, Uzay Kaymak
    http://arxiv.org/abs/2001.10730v1

    • [cs.CL]AMR Similarity Metrics from Principles
    Juri Opitz, Letitia Parcalabescu, Anette Frank
    http://arxiv.org/abs/2001.10929v1

    • [cs.CL]Interpretable Rumor Detection in Microblogs by Attending to User Interactions
    Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang
    http://arxiv.org/abs/2001.10667v1

    • [cs.CL]Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
    Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych
    http://arxiv.org/abs/2001.11003v1

    • [cs.CR]A4 : Evading Learning-based Adblockers
    Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq
    http://arxiv.org/abs/2001.10999v1

    • [cs.CR]Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
    William Briguglio, Sherif Saad
    http://arxiv.org/abs/2001.10916v1

    • [cs.CR]On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda
    Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
    http://arxiv.org/abs/2001.11017v1

    • [cs.CR]Privacy-Preserving Gaussian Process Regression — A Modular Approach to the Application of Homomorphic Encryption
    Peter Fenner, Edward O. Pyzer-Knapp
    http://arxiv.org/abs/2001.10893v1

    • [cs.CV]A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators
    Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim
    http://arxiv.org/abs/2001.10609v1

    • [cs.CV]ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
    Lance Rice, Samual Tate, David Farynyk, Joshua Sun, Greg Chism, Daniel Charbonneau, Thomas Fasciano, Anna Dornhaus, Min C. Shin
    http://arxiv.org/abs/2001.10072v2

    • [cs.CV]Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
    Shubham Sonawani, Ryan Alimo, Renaud Detry, Daniel Jeong, Andrew Hess, Heni Ben Amor
    http://arxiv.org/abs/2001.10673v1

    • [cs.CV]CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
    Bonifaz Stuhr, Jürgen Brauer
    http://arxiv.org/abs/2001.10388v2

    • [cs.CV]Comparison of scanned administrative document images
    Elena Andreeva, Vladimir V. Arlazarov, Oleg Slavin, Aleksey Mishev
    http://arxiv.org/abs/2001.10785v1

    • [cs.CV]Depth Based Semantic Scene Completion with Position Importance Aware Loss
    Yu Liu, Jie Li, Xia Yuan, Chunxia Zhao, Roland Siegwart, Ian Reid, Cesar Cadena
    http://arxiv.org/abs/2001.10709v1

    • [cs.CV]Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm
    Shervan Fekri-Ershad
    http://arxiv.org/abs/2001.10966v1

    • [cs.CV]Evaluating the Progress of Deep Learning for Visual Relational Concepts
    Sebastian Stabinger, Justus Piater, Antonio Rodríguez-Sánchez
    http://arxiv.org/abs/2001.10857v1

    • [cs.CV]H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution
    Zihao Huang, Chao Li, Feng Duan, Qibin Zhao
    http://arxiv.org/abs/2001.10853v1

    • [cs.CV]ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
    Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
    http://arxiv.org/abs/2001.10692v1

    • [cs.CV]On Learning Vehicle Detection in Satellite Video
    Roman Pflugfelder, Axel Weissenfeld, Julian Wagner
    http://arxiv.org/abs/2001.10900v1

    • [cs.CV]Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
    Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel
    http://arxiv.org/abs/2001.10710v1

    • [cs.CV]PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
    Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel Luengo-Oroz
    http://arxiv.org/abs/2001.10685v1

    • [cs.CV]Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
    Varsha Balakrishnan
    http://arxiv.org/abs/2001.09703v2

    • [cs.CV]Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar
    Dan Barnes, Ingmar Posner
    http://arxiv.org/abs/2001.10789v1

    • [cs.CV]Virtual KITTI 2
    Yohann Cabon, Naila Murray, Martin Humenberger
    http://arxiv.org/abs/2001.10773v1

    • [cs.CY]A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning
    Jukka Ruohonen
    http://arxiv.org/abs/2001.10622v1

    • [cs.CY]Systematic Review of Approaches to Improve Peer Assessment at Scale
    Manikandan Ravikiran
    http://arxiv.org/abs/2001.10617v1

    • [cs.CY]WikiHist.html: English Wikipedia’s Full Revision History in HTML Format
    Blagoj Mitrevski, Tiziano Piccardi, Robert West
    http://arxiv.org/abs/2001.10256v2

    • [cs.DC]Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
    Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
    http://arxiv.org/abs/2001.10865v1

    • [cs.GT]Bounded Incentives in Manipulating the Probabilistic Serial Rule
    Zihe Wang, Zhide Wei, Jie Zhang
    http://arxiv.org/abs/2001.10640v1

    • [cs.HC]You, Me, and IoT: How Internet-Connected Home Devices Affect Interpersonal Relationships
    Noah Apthorpe, Pardis Emami-Naeini, Arunesh Mathur, Marshini Chetty, Nick Feamster
    http://arxiv.org/abs/2001.10608v1

    • [cs.IR]Aspect-based Academic Search using Domain-specific KB
    Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath
    http://arxiv.org/abs/2001.10781v1

    • [cs.IR]Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
    Artur Strzelecki
    http://arxiv.org/abs/2001.11021v1

    • [cs.IT]A Class of Lower Bounds for Bayesian Risk with a Bregman Loss
    Alex Dytso, Michael Fauß, H. Vincent Poor
    http://arxiv.org/abs/2001.10982v1

    • [cs.IT]A kind of quaternary sequences of period $2pn$ and their linear complexity
    Qiuyan Wang, Chenhuang Wu, Minghui Yang, Yang Yan
    http://arxiv.org/abs/2001.10839v1

    • [cs.IT]Array Codes for Functional PIR and Batch Codes
    Mohammad Nassar, Eitan Yaakobi
    http://arxiv.org/abs/2001.10770v1

    • [cs.IT]Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination
    Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung
    http://arxiv.org/abs/2001.10888v1

    • [cs.IT]Design of Non-orthogonal and Noncoherent Massive MIMO for Scalable URLLC Beyond 5G
    He Chen, Zheng Dong, Jian-Kang Zhang, Branka Vucetic
    http://arxiv.org/abs/2001.10728v1

    • [cs.IT]Exploiting Randomly-located Blockages for Large-Scale Deployment of Intelligent Surfaces
    Mustafa A. Kishk, Mohamed-Slim Alouini
    http://arxiv.org/abs/2001.10766v1

    • [cs.IT]Multisequences with high joint nonlinear complexity from function fields
    Yang Yan, Qiuyan Wang, Chenhuang Wu
    http://arxiv.org/abs/2001.10808v1

    • [cs.IT]On the Impact of Phase Shifting Designs on IRS-NOMA
    Zhiguo Ding, Robert Schober, H. Vincent Poor
    http://arxiv.org/abs/2001.10909v1

    • [cs.IT]Optimal Augmented-Channel Puncturing for Low-Complexity Soft-Output MIMO Detectors
    Mohammad M. Mansour
    http://arxiv.org/abs/2001.10904v1

    • [cs.IT]Partial Updates: Losing Information for Freshness
    Melih Bastopcu, Sennur Ulukus
    http://arxiv.org/abs/2001.11014v1

    • [cs.IT]Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints
    Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao
    http://arxiv.org/abs/2001.10845v1

    • [cs.IT]Shifted Pruning for List Decoding of Polar Codes
    Mohammad Rowshan, Emanuele Viterbo
    http://arxiv.org/abs/2001.10732v1

    • [cs.IT]Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
    Halyun Jeong, Xiaowei Li, Yaniv Plan, Özgür Yılmaz
    http://arxiv.org/abs/2001.10631v1

    • [cs.LG]Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
    Ming Yin, Yu-Xiang Wang
    http://arxiv.org/abs/2001.10742v1

    • [cs.LG]Bayesian Neural Architecture Search using A Training-Free Performance Metric
    Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
    http://arxiv.org/abs/2001.10726v1

    • [cs.LG]Examining the Benefits of Capsule Neural Networks
    Arjun Punjabi, Jonas Schmid, Aggelos K. Katsaggelos
    http://arxiv.org/abs/2001.10964v1

    • [cs.LG]Extreme Algorithm Selection With Dyadic Feature Representation
    Alexander Tornede, Marcel Wever, Eyke Hüllermeier
    http://arxiv.org/abs/2001.10741v1

    • [cs.LG]Fast Rates for Online Prediction with Abstention
    Gergely Neu, Nikita Zhivotovskiy
    http://arxiv.org/abs/2001.10623v1

    • [cs.LG]Graph Neighborhood Attentive Pooling
    Zekarias T. Kefato, Sarunas Girdzijauskas
    http://arxiv.org/abs/2001.10394v2

    • [cs.LG]Identifying Mislabeled Data using the Area Under the Margin Ranking
    Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
    http://arxiv.org/abs/2001.10528v2

    • [cs.LG]Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method
    Alireza Razavi
    http://arxiv.org/abs/2001.10568v1

    • [cs.LG]MEMO: A Deep Network for Flexible Combination of Episodic Memories
    Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell
    http://arxiv.org/abs/2001.10913v1

    • [cs.LG]Modelling and Quantifying Membership Information Leakage in Machine Learning
    Farhad Farokhi, Mohamed Ali Kaafar
    http://arxiv.org/abs/2001.10648v1

    • [cs.LG]Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
    Farhad Farokhi
    http://arxiv.org/abs/2001.10655v1

    • [cs.LG]The Case for Bayesian Deep Learning
    Andrew Gordon Wilson
    http://arxiv.org/abs/2001.10995v1

    • [cs.LG]The Indian Chefs Process
    Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette
    http://arxiv.org/abs/2001.10657v1

    • [cs.LG]The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
    Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehman
    http://arxiv.org/abs/2001.10560v1

    • [cs.LG]Treatment effect estimation with disentangled latent factors
    Weijia Zhang, Lin Liu, Jiuyong Li
    http://arxiv.org/abs/2001.10652v1

    • [cs.LG]Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
    Georgios Papoudakis, Stefano V. Albrecht
    http://arxiv.org/abs/2001.10829v1

    • [cs.MM]An Effective Automatic Image Annotation Model Via Attention Model and Data Equilibrium
    Amir Vatani, Milad Taleby Ahvanooey, Mostafa Rahimi
    http://arxiv.org/abs/2001.10590v1

    • [cs.NE]Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study
    Yu Chen, Jun He
    http://arxiv.org/abs/2001.10932v1

    • [cs.NE]Learning Absolute Sound Source Localisation With Limited Supervisions
    Yang Chu, Wayne Luk, Dan Goodman
    http://arxiv.org/abs/2001.10605v1

    • [cs.NE]Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks
    Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
    http://arxiv.org/abs/2001.10696v1

    • [cs.NI]IoT Behavioral Monitoring via Network Traffic Analysis
    Arunan Sivanathan
    http://arxiv.org/abs/2001.10632v1

    • [cs.RO]Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points
    Yutao Han, Rina Tse, Mark Campbell
    http://arxiv.org/abs/2001.10571v1

    • [cs.RO]Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running
    Kevin Green, Ross L. Hatton, Jonathan Hurst
    http://arxiv.org/abs/2001.10629v1

    • [cs.RO]Whole-Body Bilateral Teleoperation of a Redundant Aerial Manipulator
    Andre Coelho, Harsimran Singh, Konstantin Kondak, Christian Ott
    http://arxiv.org/abs/2001.10779v1

    • [cs.SE]The Rockerverse: Packages and Applications for Containerization with R
    Daniel Nüst, Dirk Eddelbuettel, Dom Bennett, Robrecht Cannoodt, Dav Clark, Gergely Daroczi, Mark Edmondson, Colin Fay, Ellis Hughes, Sean Lopp, Ben Marwick, Heather Nolis, Jacqueline Nolis, Hong Ooi, Karthik Ram, Noam Ross, Lori Shepherd, Nitesh Turaga, Craig Willis, Nan Xiao, Charlotte Van Petegem
    http://arxiv.org/abs/2001.10641v1

    • [cs.SI]Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending
    María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
    http://arxiv.org/abs/2001.10994v1

    • [cs.SI]Don’t Feed the Troll: Detecting Troll Behavior via Inverse Reinforcement Learning
    Luca Luceri, Silvia Giordano, Emilio Ferrara
    http://arxiv.org/abs/2001.10570v1

    • [cs.SI]Exact Blind Community Detection from Signals on Multiple Graphs
    T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra
    http://arxiv.org/abs/2001.10944v1

    • [cs.SI]Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
    Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Vaz de Melo, Oana Goga, Fabrício Benevenuto
    http://arxiv.org/abs/2001.10581v1

    • [cs.SI]HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019
    Francesco Pierri, Alessandro Artoni, Stefano Ceri
    http://arxiv.org/abs/2001.10926v1

    • [cs.SI]Stable and Efficient Structures in Multigroup Network Formation
    Shadi Mohagheghi, Jingying Ma, Francesco Bullo
    http://arxiv.org/abs/2001.10627v1

    • [eess.AS]Audio-Visual Decision Fusion for WFST-based and seq2seq Models
    Rohith Aralikatti, Sharad Roy, Abhinav Thanda, Dilip Kumar Margam, Pujitha Appan Kandala, Tanay Sharma, Shankar M Venkatesan
    http://arxiv.org/abs/2001.10832v1

    • [eess.AS]Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
    Gianmarco Cerutti, Rahul Prasad, Alessio Brutti, Elisabetta Farella
    http://arxiv.org/abs/2001.10876v1

    • [eess.AS]Improving Language Identification for Multilingual Speakers
    Andrew Titus, Jan Silovsky, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal
    http://arxiv.org/abs/2001.11019v1

    • [eess.AS]Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
    Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason Williams
    http://arxiv.org/abs/2001.10822v1

    • [eess.AS]Masked cross self-attention encoding for deep speaker embedding
    Soonshin Seo, Daniel Jun Rim, Junseok Oh, Ji-Hwan Kim
    http://arxiv.org/abs/2001.10817v1

    • [eess.AS]Multi-task Learning for Speaker Verification and Voice Trigger Detection
    Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle
    http://arxiv.org/abs/2001.10816v1

    • [eess.AS]Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition
    Jun Qi, Chao-Han Huck Yang, Javier Tejedor
    http://arxiv.org/abs/2001.10529v1

    • [eess.IV]Deep Learning in Multi-organ Segmentation
    Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang
    http://arxiv.org/abs/2001.10619v1

    • [eess.IV]Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
    Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio
    http://arxiv.org/abs/2001.10830v1

    • [eess.IV]Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance
    Michael Barrow, Alice Chao, Qizhi He, Sonia Ramamoorthy, Claude Sirlin, Ryan Kastner
    http://arxiv.org/abs/2001.10717v1

    • [eess.IV]Unsupervised Anomaly Detection for X-Ray Images
    Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
    http://arxiv.org/abs/2001.10883v1

    • [eess.SP]Data integration and prediction models of photovoltaic production from Brazilian northeastern
    Hugo Abreu Mendes, Henrique Ferreira Nunes, Paulo Salgado Gomes de Mattos Neto
    http://arxiv.org/abs/2001.10866v1

    • [eess.SP]Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R
    Mouktar Bello, Wenjuan Yu, Mylene Pischella, Arsenia Chorti, Inbar Fijalkow, Leila Musavian
    http://arxiv.org/abs/2001.10637v1

    • [eess.SP]Low Complexity Iterative Rake Detector for Orthogonal Time Frequency Space Modulation
    Tharaj Thaj, Emanuele Viterbo
    http://arxiv.org/abs/2001.10703v1

    • [eess.SY]The Voltage Regulation of Boost Converters Using Dual Heuristic Programming
    Sepehr Saadatmand, Mohammadamir Kavousi, Sima Azizi
    http://arxiv.org/abs/2001.10863v1

    • [math.OC]A Class of Linear Programs Solvable by Coordinate-wise Minimization
    Tomáš Dlask, Tomáš Werner
    http://arxiv.org/abs/2001.10467v2

    • [math.OC]Reduced-Space Interior Point Methods in Power Grid Problems
    Juraj Kardos, Drosos Kourounis, Olaf Schenk
    http://arxiv.org/abs/2001.10815v1

    • [math.PR]High-dimensional Central Limit Theorems by Stein’s Method
    Xiao Fang, Yuta Koike
    http://arxiv.org/abs/2001.10917v1

    • [math.ST]Adaptive Estimation and Statistical Inference for High-Dimensional Graph-Based Linear Models
    Duzhe Wang, Po-Ling Loh
    http://arxiv.org/abs/2001.10679v1

    • [math.ST]Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models
    George Wynne, François-Xavier Briol, Mark Girolami
    http://arxiv.org/abs/2001.10818v1

    • [math.ST]Data-driven aggregation in non-parametric density estimation on the real line
    Sergio Brenner Miguel, Jan Johannes
    http://arxiv.org/abs/2001.10910v1

    • [math.ST]Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
    Toni Karvonen, George Wynne, Filip Tronarp, Chris J. Oates, Simo Särkkä
    http://arxiv.org/abs/2001.10965v1

    • [math.ST]Modifications of Simon text model
    Mikhail Chebunin, Artyom Kovalevskii
    http://arxiv.org/abs/2001.10973v1

    • [math.ST]On the behavior of extreme $d$-dimensional spatial quantiles under minimal assumptions
    Davy Paindaveine, Joni Virta
    http://arxiv.org/abs/2001.10877v1

    • [physics.chem-ph]Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
    Fabian Jirasek, Rodrigo A. S. Alves, Julie Damay, Robert A. Vandermeulen, Robert Bamler, Michael Bortz, Stephan Mandt, Marius Kloft, Hans Hasse
    http://arxiv.org/abs/2001.10675v1

    • [physics.ins-det]Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
    Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu, Bijie Bai, Yibo Zhang, Yiyin Jin, Sabiha Tok, Enis Cagatay Yilmaz, Esin Gumustekin, Yair Rivenson, Aydogan Ozcan
    http://arxiv.org/abs/2001.10695v1

    • [physics.med-ph]Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation
    Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou
    http://arxiv.org/abs/2001.10977v1

    • [q-bio.QM]Reducing complexity and unidentifiability when modelling human atrial cells
    C. Houston, B. Marchand, L. Engelbert, C. D. Cantwell
    http://arxiv.org/abs/2001.10954v1

    • [quant-ph]Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits
    Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, Nicolas Sawaya
    http://arxiv.org/abs/2001.10554v1

    • [stat.AP]BUDD: Multi-modal Bayesian Updating Deforestation Detections
    Alice M. S Durieux, Christopher X. Ren, Matthew T. Calef, Rick Chartrand, Michael S. Warren
    http://arxiv.org/abs/2001.10661v1

    • [stat.ME]Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models
    Rahma Abid, Célestin C. Kokonendji
    http://arxiv.org/abs/2001.10892v1

    • [stat.ME]M-estimation in GARCH models without higher order moments
    Hang Liu, Kanchan Mukherjee
    http://arxiv.org/abs/2001.10782v1

    • [stat.ME]Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement
    Long Yu, Yong He, Xinsheng Zhang, Ji Zhu
    http://arxiv.org/abs/2001.10955v1

    • [stat.ME]Penalized angular regression for personalized predictions
    Kristoffer H. Hellton
    http://arxiv.org/abs/2001.09834v2

    • [stat.ME]Quantifying Observed Prior Impact
    David E Jones, Robert N Trangucci, Yang Chen
    http://arxiv.org/abs/2001.10664v1

    • [stat.ME]The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
    Julio Michael Stern, Carlos Alberto de Braganca Pereira
    http://arxiv.org/abs/2001.10577v1

    • [stat.ML]A scale-dependent notion of effective dimension
    Oksana Berezniuk, Alessio Figalli, Raffaele Ghigliazza, Kharen Musaelian
    http://arxiv.org/abs/2001.10872v1

    • [stat.ML]An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
    Samuele Tosatto, Riad Akrour, Jan Peters
    http://arxiv.org/abs/2001.10972v1

    • [stat.ML]Binary Classification from Positive Data with Skewed Confidence
    Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama
    http://arxiv.org/abs/2001.10642v1

    • [stat.ML]Functional Sequential Treatment Allocation with Covariates
    Anders Bredahl Kock, David Preinerstorfer, Bezirgen Veliyev
    http://arxiv.org/abs/2001.10996v1

    • [stat.ML]On Newton Screening
    Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu, Yuanyuan Yang
    http://arxiv.org/abs/2001.10616v1

    • [stat.ML]Technical Background for “A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis”
    Xiaotong Jiang, Amanda E. Nelson, Rebecca J. Cleveland, Daniel P. Beavers, Todd A. Schwartz, Liubov Arbeeva, Carolina Alvarez, Leigh F. Callahan, Stephen Messier, Richard Loeser, Michael R. Kosorok
    http://arxiv.org/abs/2001.09930v2