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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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]Analyzing Differentiable Fuzzy Logic Operators
    • [cs.AI]Bayesian Learning of Causal Relationships for System Reliability
    • [cs.AI]Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
    • [cs.AI]RL agents Implicitly Learning Human Preferences
    • [cs.AI]The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
    • [cs.CL]A Data Efficient End-To-End Spoken Language Understanding Architecture
    • [cs.CL]Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
    • [cs.CL]FQuAD: French Question Answering Dataset
    • [cs.CL]HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
    • [cs.CL]Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models
    • [cs.CL]Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
    • [cs.CL]Transformer on a Diet
    • [cs.CL]Transformers as Soft Reasoners over Language
    • [cs.CL]Understanding patient complaint characteristics using contextual clinical BERT embeddings
    • [cs.CL]Zero-Resource Cross-Domain Named Entity Recognition
    • [cs.CR]Fridges on the Highway: Road Traffic Poisoning of Navigation Apps
    • [cs.CV]A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
    • [cs.CV]A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
    • [cs.CV]An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
    • [cs.CV]Building Networks for Image Segmentation using Particle Competition and Cooperation
    • [cs.CV]Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
    • [cs.CV]Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
    • [cs.CV]Counting dense objects in remote sensing images
    • [cs.CV]End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
    • [cs.CV]Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
    • [cs.CV]Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
    • [cs.CV]Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution
    • [cs.CY]Artificial Intelligence, connected products, virtual reality: potential impacts on consumer safety in terms of their physical and psychological ability or well-being
    • [cs.DC]A Breezing Proof of the KMW Bound
    • [cs.DC]Algebraic Structure of Blockchains: A Group-Theoretical Primer
    • [cs.DC]Consistency Analysis of Replication-Based Probabilistic Key-Value Stores
    • [cs.DC]DSCEP: An Infrastructure for Distributed Semantic Complex Event Processing
    • [cs.DC]Deploying large fixed file datasets with SquashFS and Singularity
    • [cs.DC]High-Performance High-Order Stencil Computation on FPGAs Using OpenCL
    • [cs.DC]Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
    • [cs.DC]eSPICE: Probabilistic Load Shedding from Input Event Streams in Complex Event Processing
    • [cs.HC]A New Exocentric Metaphor for Complex Path Following to Control a UAV Using Mixed Reality
    • [cs.HC]VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration
    • [cs.IR]Multi-objective Ranking via Constrained Optimization
    • [cs.IT]Constructions of quantum MDS codes
    • [cs.IT]Cooperative NOMA for Downlink Asymmetric Interference Cancellation
    • [cs.IT]Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network
    • [cs.IT]Degrees of Freedom of Cache-Aided Wireless Cellular Networks
    • [cs.IT]Intelligent Reflecting Surface Assisted Massive MIMO Communications
    • [cs.IT]Limits of Transmit and Receive Array Gain in Massive MIMO
    • [cs.IT]Mobile Communications, Computing and Caching Resources Optimization for Coded Caching with Device Computing
    • [cs.LG]ARMS: Automated rules management system for fraud detection
    • [cs.LG]Adversarial Distributional Training for Robust Deep Learning
    • [cs.LG]An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
    • [cs.LG]Clustering based on Point-Set Kernel
    • [cs.LG]Combining Parametric Land Surface Models with Machine Learning
    • [cs.LG]Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
    • [cs.LG]Deep learning of dynamical attractors from time series measurements
    • [cs.LG]Estimating Gradients for Discrete Random Variables by Sampling without Replacement
    • [cs.LG]Frequency-based Search-control in Dyna
    • [cs.LG]Generalization and Representational Limits of Graph Neural Networks
    • [cs.LG]Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems
    • [cs.LG]Interleaved Sequence RNNs for Fraud Detection
    • [cs.LG]Learning Functionally Decomposed Hierarchies for Continuous Control Tasks
    • [cs.LG]Learning to rank for uplift modeling
    • [cs.LG]Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
    • [cs.LG]Multiple Metric Learning for Structured Data
    • [cs.LG]Never Give Up: Learning Directed Exploration Strategies
    • [cs.LG]Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
    • [cs.LG]RNA Secondary Structure Prediction By Learning Unrolled Algorithms
    • [cs.LG]Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
    • [cs.LG]Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
    • [cs.LG]Statistical Learning with Conditional Value at Risk
    • [cs.LG]Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
    • [cs.LG]The Goal-Gradient Hypothesis in Stack Overflow
    • [cs.LG]Training Large Neural Networks with Constant Memory using a New Execution Algorithm
    • [cs.LG]Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition
    • [cs.LO]Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints
    • [cs.NE]A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation
    • [cs.NE]Gender Genetic Algorithm in the Dynamic Optimization Problem
    • [cs.NE]Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data
    • [cs.NI]AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
    • [cs.NI]Optimal Pricing of Internet of Things: A Machine Learning Approach
    • [cs.RO]An Improved Wrist Kinematic Model for Human-Robot Interaction
    • [cs.RO]Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction
    • [cs.RO]Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
    • [cs.SD]Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances
    • [cs.SI]Diffusion and Consensus in a Weakly Coupled Network of Networks
    • [cs.SI]Disentangling Overlapping Beliefs by Structured Matrix Factorization
    • [cs.SI]Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design
    • [cs.SI]Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
    • [eess.AS]Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
    • [eess.AS]Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
    • [eess.AS]Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR
    • [eess.IV]Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer
    • [eess.IV]SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
    • [eess.SP]A Low-Complexity Framework for Joint User Pairing and Power Control for Cooperative NOMA in 5G and Beyond Cellular Networks
    • [math.ST]A study on the leverage effect on financial series using a TAR model: a Bayesian approach
    • [math.ST]Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators
    • [math.ST]Covering of high-dimensional cubes and quantization
    • [math.ST]Local continuity of log-concave projection, with applications to estimation under model misspecification
    • [math.ST]Minimaxity and Limits of Risks Ratios of Shrinkage Estimators of a Multivariate Normal Mean in the Bayesian Case
    • [math.ST]Optimal estimation of high-dimensional Gaussian mixtures
    • [math.ST]Upper and Lower Class Functions for Maximum Likelihood Estimator for Single server Queues
    • [physics.soc-ph]A network perspective on intermedia agenda-setting
    • [q-bio.NC]Distributional robustness as a guiding principle for causality in cognitive neuroscience
    • [quant-ph]Learning models of quantum systems from experiments
    • [stat.AP]An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance
    • [stat.AP]Infectious Disease Transmission Network Modelling with Julia
    • [stat.AP]On Bayesian inference for the Extended Plackett-Luce model
    • [stat.AP]Sampling from Networks: Respondent-Driven Sampling
    • [stat.AP]Time-Varying Gaussian-Cauchy Mixture Models for Financial Risk Management
    • [stat.AP]Understanding the effects of dichotomization of continuous outcomes on geostatistical inference
    • [stat.ME]A general theory of identification
    • [stat.ME]Estimation of the Epidemic Branching Factor in Noisy Contact Networks
    • [stat.ME]Power-Expected-Posterior Priors as Mixtures of g-Priors
    • [stat.ME]Statistical Monitoring of Covariance Matrix in Multivariate Processes: A Literature Review
    • [stat.ME]Using Simulation to Analyze Interrupted Time Series Designs
    • [stat.ML]A Unifying Network Architecture for Semi-Structured Deep Distributional Learning
    • [stat.ML]Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets

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

    • [cs.AI]Analyzing Differentiable Fuzzy Logic Operators
    Emile van Krieken, Erman Acar, Frank van Harmelen
    http://arxiv.org/abs/2002.06100v1

    • [cs.AI]Bayesian Learning of Causal Relationships for System Reliability
    Xuewen Yu, Jim Q. Smith, Linda Nichols
    http://arxiv.org/abs/2002.06084v1

    • [cs.AI]Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning
    Borja G. León, Francesco Belardinelli
    http://arxiv.org/abs/2002.06000v1

    • [cs.AI]RL agents Implicitly Learning Human Preferences
    Nevan Wichers
    http://arxiv.org/abs/2002.06137v1

    • [cs.AI]The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
    Gary Marcus
    http://arxiv.org/abs/2002.06177v1

    • [cs.CL]A Data Efficient End-To-End Spoken Language Understanding Architecture
    Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier
    http://arxiv.org/abs/2002.05955v1

    • [cs.CL]Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
    Natalia Tomashenko, Christian Raymond, Antoine Caubriere, Renato De Mori, Yannick Esteve
    http://arxiv.org/abs/2002.06012v1

    • [cs.CL]FQuAD: French Question Answering Dataset
    Martin d’Hoffschmidt, Maxime Vidal, Wacim Belblidia, Tom Brendlé
    http://arxiv.org/abs/2002.06071v1

    • [cs.CL]HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
    Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang
    http://arxiv.org/abs/2002.05829v1

    • [cs.CL]Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models
    Silin Gao, Zhijian Ou, Wei Yang, Huifang Xu
    http://arxiv.org/abs/2002.05967v1

    • [cs.CL]Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
    William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler
    http://arxiv.org/abs/2002.06115v1

    • [cs.CL]Transformer on a Diet
    Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
    http://arxiv.org/abs/2002.06170v1

    • [cs.CL]Transformers as Soft Reasoners over Language
    Peter Clark, Oyvind Tafjord, Kyle Richardson
    http://arxiv.org/abs/2002.05867v1

    • [cs.CL]Understanding patient complaint characteristics using contextual clinical BERT embeddings
    Budhaditya Saha, Sanal Lisboa, Shameek Ghosh
    http://arxiv.org/abs/2002.05902v1

    • [cs.CL]Zero-Resource Cross-Domain Named Entity Recognition
    Zihan Liu, Genta Indra Winata, Pascale Fung
    http://arxiv.org/abs/2002.05923v1

    • [cs.CR]Fridges on the Highway: Road Traffic Poisoning of Navigation Apps
    Simone Raponi, Savio Sciancalepore, Gabriele Oligeri, Roberto Di Pietro
    http://arxiv.org/abs/2002.05051v2

    • [cs.CV]A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
    Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
    http://arxiv.org/abs/2002.05981v1

    • [cs.CV]A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
    Bin Ren, Mengyuan Liu, Runwei Ding, Hong Liu
    http://arxiv.org/abs/2002.05907v1

    • [cs.CV]An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset
    Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi
    http://arxiv.org/abs/2002.05878v1

    • [cs.CV]Building Networks for Image Segmentation using Particle Competition and Cooperation
    Fabricio Breve
    http://arxiv.org/abs/2002.06001v1

    • [cs.CV]Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
    Raphaël Barman, Maud Ehrmann, Simon Clematide, Sofia Ares Oliveira, Frédéric Kaplan
    http://arxiv.org/abs/2002.06144v1

    • [cs.CV]Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
    Hao Cheng, Wentong Liao. Michael Ying Yang, Monica Sester, Bodo Rosenhahn
    http://arxiv.org/abs/2002.05966v1

    • [cs.CV]Counting dense objects in remote sensing images
    Guangshuai Gao, Qingjie Liu, Yunhong Wang
    http://arxiv.org/abs/2002.05928v1

    • [cs.CV]End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
    Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang
    http://arxiv.org/abs/2002.05911v1

    • [cs.CV]Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
    Youngmin Ro, Jin Young Choi
    http://arxiv.org/abs/2002.06048v1

    • [cs.CV]Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
    Minyoung Chung, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
    http://arxiv.org/abs/2002.05895v1

    • [cs.CV]Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution
    Jiawen Lyn
    http://arxiv.org/abs/2002.05962v1

    • [cs.CY]Artificial Intelligence, connected products, virtual reality: potential impacts on consumer safety in terms of their physical and psychological ability or well-being
    Birgitta Dresp-Langley
    http://arxiv.org/abs/2002.06086v1

    • [cs.DC]A Breezing Proof of the KMW Bound
    Corinna Coupette, Christoph Lenzen
    http://arxiv.org/abs/2002.06005v1

    • [cs.DC]Algebraic Structure of Blockchains: A Group-Theoretical Primer
    Dongfang Zhao
    http://arxiv.org/abs/2002.05973v1

    • [cs.DC]Consistency Analysis of Replication-Based Probabilistic Key-Value Stores
    Ramy E. Ali
    http://arxiv.org/abs/2002.06098v1

    • [cs.DC]DSCEP: An Infrastructure for Distributed Semantic Complex Event Processing
    Vitor Pinheiro de Almeida, Sukanya Bhowmik, Markus Endler, Kurt Rothermel
    http://arxiv.org/abs/2002.05869v1

    • [cs.DC]Deploying large fixed file datasets with SquashFS and Singularity
    Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown
    http://arxiv.org/abs/2002.06129v1

    • [cs.DC]High-Performance High-Order Stencil Computation on FPGAs Using OpenCL
    Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka
    http://arxiv.org/abs/2002.05983v1

    • [cs.DC]Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
    Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
    http://arxiv.org/abs/2002.05814v1

    • [cs.DC]eSPICE: Probabilistic Load Shedding from Input Event Streams in Complex Event Processing
    Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel
    http://arxiv.org/abs/2002.05896v1

    • [cs.HC]A New Exocentric Metaphor for Complex Path Following to Control a UAV Using Mixed Reality
    Baptiste Wojtkowski, Pedro Castillo, Indira Thouvenin
    http://arxiv.org/abs/2002.05721v1

    • [cs.HC]VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration
    Raul de Araújo Lima, Simone Diniz Junqueira Barbosa
    http://arxiv.org/abs/2002.06125v1

    • [cs.IR]Multi-objective Ranking via Constrained Optimization
    Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun
    http://arxiv.org/abs/2002.05753v1

    • [cs.IT]Constructions of quantum MDS codes
    Hualu Liu, Xiusheng Liu
    http://arxiv.org/abs/2002.06040v1

    • [cs.IT]Cooperative NOMA for Downlink Asymmetric Interference Cancellation
    Weidong Mei, Rui Zhang
    http://arxiv.org/abs/2002.05852v1

    • [cs.IT]Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network
    Jinglian He, Kaiqiang Yu, Yuanming Shi
    http://arxiv.org/abs/2002.05915v1

    • [cs.IT]Degrees of Freedom of Cache-Aided Wireless Cellular Networks
    Youlong Cao, Meixia Tao
    http://arxiv.org/abs/2002.05893v1

    • [cs.IT]Intelligent Reflecting Surface Assisted Massive MIMO Communications
    Zhaorui Wang, Liang Liu, Shuguang Cui
    http://arxiv.org/abs/2002.05899v1

    • [cs.IT]Limits of Transmit and Receive Array Gain in Massive MIMO
    Tobias Laas, Josef A. Nossek, Wen Xu
    http://arxiv.org/abs/2002.06107v1

    • [cs.IT]Mobile Communications, Computing and Caching Resources Optimization for Coded Caching with Device Computing
    Yingjiao Li, Zhiyong Chen, Meixia Tao
    http://arxiv.org/abs/2002.06090v1

    • [cs.LG]ARMS: Automated rules management system for fraud detection
    David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro
    http://arxiv.org/abs/2002.06075v1

    • [cs.LG]Adversarial Distributional Training for Robust Deep Learning
    Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
    http://arxiv.org/abs/2002.05999v1

    • [cs.LG]An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
    Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba
    http://arxiv.org/abs/2002.05825v1

    • [cs.LG]Clustering based on Point-Set Kernel
    Kai Ming Ting, Jonathan R. Wells, Ye Zhu
    http://arxiv.org/abs/2002.05815v1

    • [cs.LG]Combining Parametric Land Surface Models with Machine Learning
    Craig Pelissier, Jonathan Frame, Grey Nearing
    http://arxiv.org/abs/2002.06141v1

    • [cs.LG]Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
    Christopher A. Metzler, Gordon Wetzstein
    http://arxiv.org/abs/2002.05856v1

    • [cs.LG]Deep learning of dynamical attractors from time series measurements
    William Gilpin
    http://arxiv.org/abs/2002.05909v1

    • [cs.LG]Estimating Gradients for Discrete Random Variables by Sampling without Replacement
    Wouter Kool, Herke van Hoof, Max Welling
    http://arxiv.org/abs/2002.06043v1

    • [cs.LG]Frequency-based Search-control in Dyna
    Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
    http://arxiv.org/abs/2002.05822v1

    • [cs.LG]Generalization and Representational Limits of Graph Neural Networks
    Vikas K. Garg, Stefanie Jegelka, Tommi Jaakkola
    http://arxiv.org/abs/2002.06157v1

    • [cs.LG]Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems
    C. B. Scott, Eric Mjolsness
    http://arxiv.org/abs/2002.05842v1

    • [cs.LG]Interleaved Sequence RNNs for Fraud Detection
    Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
    http://arxiv.org/abs/2002.05988v1

    • [cs.LG]Learning Functionally Decomposed Hierarchies for Continuous Control Tasks
    Lukas Jendele, Sammy Christen, Emre Aksan, Otmar Hilliges
    http://arxiv.org/abs/2002.05954v1

    • [cs.LG]Learning to rank for uplift modeling
    Floris Devriendt, Tias Guns, Wouter Verbeke
    http://arxiv.org/abs/2002.05897v1

    • [cs.LG]Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
    Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf
    http://arxiv.org/abs/2002.06103v1

    • [cs.LG]Multiple Metric Learning for Structured Data
    Nicolo Colombo
    http://arxiv.org/abs/2002.05747v1

    • [cs.LG]Never Give Up: Learning Directed Exploration Strategies
    Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell
    http://arxiv.org/abs/2002.06038v1

    • [cs.LG]Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
    Hongyu Ren, Weihua Hu, Jure Leskovec
    http://arxiv.org/abs/2002.05969v1

    • [cs.LG]RNA Secondary Structure Prediction By Learning Unrolled Algorithms
    Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song
    http://arxiv.org/abs/2002.05810v1

    • [cs.LG]Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
    Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
    http://arxiv.org/abs/2002.06063v1

    • [cs.LG]Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
    Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
    http://arxiv.org/abs/2002.05990v1

    • [cs.LG]Statistical Learning with Conditional Value at Risk
    Tasuku Soma, Yuichi Yoshida
    http://arxiv.org/abs/2002.05826v1

    • [cs.LG]Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
    Lingkai Kong, Molei Tao
    http://arxiv.org/abs/2002.06189v1

    • [cs.LG]The Goal-Gradient Hypothesis in Stack Overflow
    Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal
    http://arxiv.org/abs/2002.06160v1

    • [cs.LG]Training Large Neural Networks with Constant Memory using a New Execution Algorithm
    Bharadwaj Pudipeddi, Maral Mesmakhosroshahi, Jinwen Xi, Sujeeth Bharadwaj
    http://arxiv.org/abs/2002.05645v2

    • [cs.LG]Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition
    Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
    http://arxiv.org/abs/2002.05809v1

    • [cs.LO]Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints
    Franz Baader, Bartosz Bednarczyk, Sebastian Rudolph
    http://arxiv.org/abs/2002.06072v1

    • [cs.NE]A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation
    Jorge Bustos, Victor A. Jimenez, Adrian Will
    http://arxiv.org/abs/2002.06036v1

    • [cs.NE]Gender Genetic Algorithm in the Dynamic Optimization Problem
    P. A. Golovinski, S. A. Kolodyazhnyi
    http://arxiv.org/abs/2002.05882v1

    • [cs.NE]Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data
    Alina Patelli, Victoria Lush, Aniko Ekart, Elisabeth Ilie-Zudor
    http://arxiv.org/abs/2002.06095v1

    • [cs.NI]AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
    Shan Zhang, Liudi Wang, Hongbin Luo, Xiao Ma, Sheng Zhou
    http://arxiv.org/abs/2002.05868v1

    • [cs.NI]Optimal Pricing of Internet of Things: A Machine Learning Approach
    Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han
    http://arxiv.org/abs/2002.05929v1

    • [cs.RO]An Improved Wrist Kinematic Model for Human-Robot Interaction
    Ningbo Yu, Chang Xu
    http://arxiv.org/abs/2002.05790v1

    • [cs.RO]Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction
    Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn
    http://arxiv.org/abs/2002.05936v1

    • [cs.RO]Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
    Chao Huang, Rui Liu
    http://arxiv.org/abs/2002.06024v1

    • [cs.SD]Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances
    Aleksei Gusev, Vladimir Volokhov, Tseren Andzhukaev, Sergey Novoselov, Galina Lavrentyeva, Marina Volkova, Alice Gazizullina, Andrey Shulipa, Artem Gorlanov, Anastasia Avdeeva, Artem Ivanov, Alexander Kozlov, Timur Pekhovsky, Yuri Matveev
    http://arxiv.org/abs/2002.06033v1

    • [cs.SI]Diffusion and Consensus in a Weakly Coupled Network of Networks
    Yuhao Yi, Anirban Das, Stacy Patterson, Bassam Bamieh, Zhongzhi Zhang
    http://arxiv.org/abs/2002.06109v1

    • [cs.SI]Disentangling Overlapping Beliefs by Structured Matrix Factorization
    Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
    http://arxiv.org/abs/2002.05797v1

    • [cs.SI]Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design
    Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, Igor Perisic
    http://arxiv.org/abs/2002.05819v1

    • [cs.SI]Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
    Alireza Eshaghpour, Mostafa Salehi, Vahid Ranjbar
    http://arxiv.org/abs/2002.06171v1

    • [eess.AS]Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
    Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi
    http://arxiv.org/abs/2002.05873v1

    • [eess.AS]Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
    Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe
    http://arxiv.org/abs/2002.05879v1

    • [eess.AS]Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR
    Leda Sarı, Niko Moritz, Takaaki Hori, Jonathan Le Roux
    http://arxiv.org/abs/2002.06165v1

    • [eess.IV]Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer
    Zhendong Liu, Xin Yang, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni
    http://arxiv.org/abs/2002.05844v1

    • [eess.IV]SemI2I: Semantically Consistent Image-to-Image Translation for Domain Adaptation of Remote Sensing Data
    Onur Tasar, S L Happy, Yuliya Tarabalka, Pierre Alliez
    http://arxiv.org/abs/2002.05925v1

    • [eess.SP]A Low-Complexity Framework for Joint User Pairing and Power Control for Cooperative NOMA in 5G and Beyond Cellular Networks
    Phuc Dinh, Mohamed Amine Arfaoui, Sanaa Sharafeddine, Chadi Assi, Ali Ghrayeb
    http://arxiv.org/abs/2002.06120v1

    • [math.ST]A study on the leverage effect on financial series using a TAR model: a Bayesian approach
    Oscar Espinosa, Fabio Nieto
    http://arxiv.org/abs/2002.05319v2

    • [math.ST]Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators
    Axel Bücher, Holger Dette, Florian Heinrichs
    http://arxiv.org/abs/2002.06143v1

    • [math.ST]Covering of high-dimensional cubes and quantization
    Anatoly Zhigljavsky, Jack Noonan
    http://arxiv.org/abs/2002.06118v1

    • [math.ST]Local continuity of log-concave projection, with applications to estimation under model misspecification
    Rina Foygel Barber, Richard J. Samworth
    http://arxiv.org/abs/2002.06117v1

    • [math.ST]Minimaxity and Limits of Risks Ratios of Shrinkage Estimators of a Multivariate Normal Mean in the Bayesian Case
    Abdenour Hamdaoui, Abdelkader Benkhaled, Nadia Mezouar
    http://arxiv.org/abs/2002.05792v1

    • [math.ST]Optimal estimation of high-dimensional Gaussian mixtures
    Natalie Doss, Yihong Wu, Pengkun Yang, Harrison H. Zhou
    http://arxiv.org/abs/2002.05818v1

    • [math.ST]Upper and Lower Class Functions for Maximum Likelihood Estimator for Single server Queues
    Sarat Kumar Acharya, Saroja Kumar Singh
    http://arxiv.org/abs/2002.05949v1

    • [physics.soc-ph]A network perspective on intermedia agenda-setting
    Samuel Stern, Giacomo Livan, Robert E. Smith
    http://arxiv.org/abs/2002.05971v1

    • [q-bio.NC]Distributional robustness as a guiding principle for causality in cognitive neuroscience
    Sebastian Weichwald, Jonas Peters
    http://arxiv.org/abs/2002.06060v1

    • [quant-ph]Learning models of quantum systems from experiments
    Antonio A. Gentile, Brian Flynn, Sebastian Knauer, Nathan Wiebe, Stefano Paesani, Christopher E. Granade, John G. Rarity, Raffaele Santagati, Anthony Laing
    http://arxiv.org/abs/2002.06169v1

    • [stat.AP]An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance
    Joseph Guinness, Debasm
    7721
    ita Bhattacharya, Jenny Chen, Max Chen, Angela Loh
    http://arxiv.org/abs/2002.06105v1

    • [stat.AP]Infectious Disease Transmission Network Modelling with Julia
    Justin Angevaare, Zeny Feng, Rob Deardon
    http://arxiv.org/abs/2002.05850v1

    • [stat.AP]On Bayesian inference for the Extended Plackett-Luce model
    Stephen R. Johnson, Daniel A. Henderson, Richard J. Boys
    http://arxiv.org/abs/2002.05953v1

    • [stat.AP]Sampling from Networks: Respondent-Driven Sampling
    Mamadou Yauck, Erica E. M. Moodie, Herak Apelian, Marc-Messier Peet, Gilles Lambert, Daniel Grace, Nathan J. Lachowsky, Trevor Hart, Joseph Cox
    http://arxiv.org/abs/2002.05793v1

    • [stat.AP]Time-Varying Gaussian-Cauchy Mixture Models for Financial Risk Management
    Shuguang Zhang, Minjing Tao, Xu-Feng Niu, Fred Huffer
    http://arxiv.org/abs/2002.06102v1

    • [stat.AP]Understanding the effects of dichotomization of continuous outcomes on geostatistical inference
    Irene Kyomuhangi, Tarekegn A. Abeku, Matthew J. Kirby, Gezahegn Tesfaye, Emanuele Giorgi
    http://arxiv.org/abs/2002.06032v1

    • [stat.ME]A general theory of identification
    Guillaume Basse, Iavor Bojinov
    http://arxiv.org/abs/2002.06041v1

    • [stat.ME]Estimation of the Epidemic Branching Factor in Noisy Contact Networks
    Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk
    http://arxiv.org/abs/2002.05763v1

    • [stat.ME]Power-Expected-Posterior Priors as Mixtures of g-Priors
    Dimitris Fouskakis, Ioannis Ntzoufras
    http://arxiv.org/abs/2002.05782v1

    • [stat.ME]Statistical Monitoring of Covariance Matrix in Multivariate Processes: A Literature Review
    Mohsen Ebadi, Shoja’eddin Chenouri, Dennis K. J. Lin
    http://arxiv.org/abs/2002.06159v1

    • [stat.ME]Using Simulation to Analyze Interrupted Time Series Designs
    Luke Miratrix
    http://arxiv.org/abs/2002.05746v1

    • [stat.ML]A Unifying Network Architecture for Semi-Structured Deep Distributional Learning
    David Rügamer, Chris Kolb, Nadja Klein
    http://arxiv.org/abs/2002.05777v1

    • [stat.ML]Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
    Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach
    http://arxiv.org/abs/2002.05820v1