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