cs.AI - 人工智能 cs.CL - 计算与语言 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.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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.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.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-fin.PR - 证券定价 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [cs.AI]An Ontology-Aware Framework for Audio Event Classification
    • [cs.AI]Bringing Stories Alive: Generating Interactive Fiction Worlds
    • [cs.AI]Causal query in observational data with hidden variables
    • [cs.AI]Distal Explanations for Explainable Reinforcement Learning Agents
    • [cs.CL]A Deep Neural Framework for Contextual Affect Detection
    • [cs.CL]Extraction of Templates from Phrases Using Sequence Binary Decision Diagrams
    • [cs.CL]Generating Representative Headlines for News Stories
    • [cs.CL]Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion
    • [cs.CL]Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
    • [cs.CL]Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device
    • [cs.CL]SemClinBr — a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks
    • [cs.CL]The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
    • [cs.CV]ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
    • [cs.CV]An Internal Clock Based Space-time Neural Network for Motion Speed Recognition
    • [cs.CV]An Unsupervised Learning Model for Medical Image Segmentation
    • [cs.CV]BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks
    • [cs.CV]CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
    • [cs.CV]Canadian Adverse Driving Conditions Dataset
    • [cs.CV]Deep NRSfM++: Towards 3D Reconstruction in the Wild
    • [cs.CV]Print Defect Mapping with Semantic Segmentation
    • [cs.CV]Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
    • [cs.CV]Towards Open-Set Semantic Segmentation of Aerial Images
    • [cs.CV]Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
    • [cs.CV]f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
    • [cs.CY]Charting the Landscape of Online Cryptocurrency Manipulation
    • [cs.CY]Mining social media data for biomedical signals and health-related behavior
    • [cs.CY]Smart City Governance in Developing Countries: A Systematic Literature Review
    • [cs.CY]The Effects of Gender Signals and Performance in Online Product Reviews
    • [cs.CY]WikiHist.html: English Wikipedia’s Full Revision History in HTML Format
    • [cs.DC]A Closer Look at Lightweight Graph Reordering
    • [cs.DC]A Scheduling Algorithm to Maximize Storm Throughput in Heterogeneous Cluster
    • [cs.DC]Automated Parallel Kernel Extraction from Dynamic Application Traces
    • [cs.DC]Characterizing and Understanding GCNs on GPU
    • [cs.DC]FOS: A Modular FPGA Operating System for Dynamic Workloads
    • [cs.DC]InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
    • [cs.DC]Intel Page Modification Logging, a hardware virtualization feature: study and improvement for virtual machine working set estimation
    • [cs.DC]diBELLA: Distributed Long Read to Long Read Alignment
    • [cs.GR]MGCN: Descriptor Learning using Multiscale GCNs
    • [cs.IR]Leveraging Schema Labels to Enhance Dataset Search
    • [cs.IR]Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
    • [cs.IR]Selective Weak Supervision for Neural Information Retrieval
    • [cs.IR]The Enron Corpus: Where the Email Bodies are Buried?
    • [cs.IT]A Partial Information Decomposition Based on Causal Tensors
    • [cs.IT]An operational information decomposition via synergistic disclosure
    • [cs.IT]Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
    • [cs.IT]Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting
    • [cs.IT]Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
    • [cs.IT]Discrete Signal Processing with Set Functions
    • [cs.IT]Joint Activity Detection and Channel Estimation for mmW/THz Wideband Massive Access
    • [cs.IT]New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks
    • [cs.IT]On the All-Or-Nothing Behavior of Bernoulli Group Testing
    • [cs.IT]Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning
    • [cs.IT]Prediction diversity and selective attention in the wisdom of crowds
    • [cs.IT]Update Aware Device Scheduling for Federated Learning at the Wireless Edge
    • [cs.LG]A Primer on Domain Adaptation
    • [cs.LG]Bandit optimisation of functions in the Matérn kernel RKHS
    • [cs.LG]COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning
    • [cs.LG]Controlling generative models with continuous factors of variations
    • [cs.LG]Eigen-Stratified Models
    • [cs.LG]Fast Graph Metric Learning via Gershgorin Disc Alignment
    • [cs.LG]Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach
    • [cs.LG]Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
    • [cs.LG]Graph Neighborhood Attentive Pooling
    • [cs.LG]Identifying Mislabeled Data using the Area Under the Margin Ranking
    • [cs.LG]LIBTwinSVM: A Library for Twin Support Vector Machines
    • [cs.LG]MSE-Optimal Neural Network Initialization via Layer Fusion
    • [cs.LG]Margin Maximization as Lossless Maximal Compression
    • [cs.LG]Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
    • [cs.LG]Multi-label Prediction in Time Series Data using Deep Neural Networks
    • [cs.LG]NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
    • [cs.LG]OPFython: A Python-Inspired Optimum-Path Forest Classifier
    • [cs.LG]Parameter Sharing in Coagent Networks
    • [cs.LG]QActor: On-line Active Learning for Noisy Labeled Stream Data
    • [cs.LG]Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
    • [cs.LG]Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
    • [cs.LG]Residual Tangent Kernels
    • [cs.LG]Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
    • [cs.LG]Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition
    • [cs.LG]Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
    • [cs.LG]Unsupervised Program Synthesis for Images using Tree-Structured LSTM
    • [cs.LG]Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems
    • [cs.MA]Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes
    • [cs.MA]Parameter Calibration in Crowd Simulation Models using Approximate Bayesian Computation
    • [cs.NE]An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
    • [cs.NI]Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet
    • [cs.NI]Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands
    • [cs.NI]Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting
    • [cs.NI]LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
    • [cs.RO]Evaluation of the Handshake Turing Test for anthropomorphic Robots
    • [cs.RO]Learning to Catch Piglets in Flight
    • [cs.RO]Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure
    • [cs.RO]Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
    • [cs.RO]Towards Learning Multi-agent Negotiations via Self-Play
    • [cs.SD]Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform
    • [cs.SE]Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow
    • [cs.SI]Nonlocal PageRank
    • [eess.AS]CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding
    • [eess.IV]Accurately identifying vertebral levels in large datasets
    • [eess.IV]Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
    • [eess.IV]Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction
    • [eess.IV]Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
    • [eess.IV]Spatial-Adaptive Network for Single Image Denoising
    • [eess.SP]Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks
    • [eess.SP]Inter-Tenant Cooperative Reception for C-RAN Systems With Spectrum Pooling
    • [eess.SP]Performance Analysis of MIMO K-user Interference Channels with Hardware Impairments
    • [eess.SP]RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
    • [eess.SP]The Final Frontier: Deep Learning in Space
    • [eess.SY]Data-driven control of micro-climate in buildings; an event-triggered reinforcement learning approach
    • [math.CO]Connections between scattered linear sets and MRD-codes
    • [math.NA]On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows
    • [math.NA]Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization
    • [math.OC]A Class of Linear Programs Solvable by Coordinate-wise Minimization
    • [math.OC]A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
    • [math.ST]Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
    • [math.ST]Multi-trek separation in Linear Structural Equation Models
    • [math.ST]Optimal Gaussian Approximation for Multiple Time Series
    • [math.ST]Rate of Estimation for the Stationary Distribution of Stochastic Damping Hamiltonian Systems with Continuous Observations
    • [math.ST]Saddlepoint approximations for spatial panel data models
    • [physics.data-an]WISDoM: a framework for the Analysis of Wishart distributed matrices
    • [physics.flu-dyn]Reservoir computing model of two-dimensional turbulent convection
    • [physics.geo-ph]Real-Time Well Log Prediction From Drilling Data Using Deep Learning
    • [physics.soc-ph]Evolutionary Dynamics of Higher-Order Interactions
    • [q-fin.PR]A random forest based approach for predicting spreads in the primary catastrophe bond market
    • [quant-ph]Fast quantum learning with statistical guarantees
    • [quant-ph]Real-time calibration of coherent-state receivers: learning by trial and error
    • [stat.AP]Relationship between the melting Arctic Sea Ice Extent and North Atlantic Oscillation Index
    • [stat.AP]Skills to not fall behind in school
    • [stat.AP]Statistical Exploration of Relationships Between Routine and Agnostic Features Towards Interpretable Risk Characterization
    • [stat.AP]Statistical post-processing of heat index ensemble forecasts: is there a royal road?
    • [stat.CO]Optimal subsampling for quantile regression in big data
    • [stat.ME]A Proposed Method for Assessing Cluster Heterogeneity
    • [stat.ME]Inference in High-Dimensional Linear Measurement Error Models
    • [stat.ME]Nonparametric multivariate regression estimation for circular responses
    • [stat.ME]On the Dimensional Indeterminacy of One-Wave Factor Analysis Under Causal Effects
    • [stat.ME]The n-dimensional Extension of the Lomb-Scargle Method
    • [stat.ML]Multi-class Gaussian Process Classification with Noisy Inputs
    • [stat.ML]Multivariate Gaussian Variational Inference by Natural Gradient Descent
    • [stat.ML]Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations
    • [stat.OT]Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications

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

    • [cs.AI]An Ontology-Aware Framework for Audio Event Classification
    Yiwei Sun, Shabnam Ghaffarzadegan
    http://arxiv.org/abs/2001.10048v1

    • [cs.AI]Bringing Stories Alive: Generating Interactive Fiction Worlds
    Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl
    http://arxiv.org/abs/2001.10161v1

    • [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/2001.10269v1

    • [cs.AI]Distal Explanations for Explainable Reinforcement Learning Agents
    Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere
    http://arxiv.org/abs/2001.10284v1

    • [cs.CL]A Deep Neural Framework for Contextual Affect Detection
    Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya
    http://arxiv.org/abs/2001.10169v1

    • [cs.CL]Extraction of Templates from Phrases Using Sequence Binary Decision Diagrams
    Daiki Hirano, Kumiko Tanaka-Ishii, Andrew Finch
    http://arxiv.org/abs/2001.10175v1

    • [cs.CL]Generating Representative Headlines for News Stories
    Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
    http://arxiv.org/abs/2001.09386v2

    • [cs.CL]Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion
    Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
    http://arxiv.org/abs/2001.10106v1

    • [cs.CL]Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
    Firas Kassawat, Debanjan Chaudhuri, Jens Lehmann
    http://arxiv.org/abs/2001.10468v1

    • [cs.CL]Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device
    Baohua Sun, Lin Yang, Hao Sha, Michael Lin
    http://arxiv.org/abs/2001.10179v1

    • [cs.CL]SemClinBr — a multi institutional and multi specialty semantically annotated corpus for Portuguese clinical NLP tasks
    Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline P. Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid A. Hasan, Claudia Maria Cabral Moro
    http://arxiv.org/abs/2001.10071v1

    • [cs.CL]The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
    Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier
    http://arxiv.org/abs/2001.09876v2

    • [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/2001.10072v1

    • [cs.CV]An Internal Clock Based Space-time Neural Network for Motion Speed Recognition
    Junwen Luo, Jiaoyan Chen
    http://arxiv.org/abs/2001.10159v1

    • [cs.CV]An Unsupervised Learning Model for Medical Image Segmentation
    Junyu Chen, Eric C. Frey
    http://arxiv.org/abs/2001.10155v1

    • [cs.CV]BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks
    Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
    http://arxiv.org/abs/2001.10223v1

    • [cs.CV]CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
    Bonifaz Stuhr, Jürgen Brauer
    http://arxiv.org/abs/2001.10388v1

    • [cs.CV]Canadian Adverse Driving Conditions Dataset
    Matthew Pitropov, Danson Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Waslander
    http://arxiv.org/abs/2001.10117v1

    • [cs.CV]Deep NRSfM++: Towards 3D Reconstruction in the Wild
    Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
    http://arxiv.org/abs/2001.10090v1

    • [cs.CV]Print Defect Mapping with Semantic Segmentation
    Augusto C. Valente, Cristina Wada, Deangela Neves, Deangeli Neves, Fábio V. M. Perez, Guilherme A. S. Megeto, Marcos H. Cascone, Otavio Gomes, Qian Lin
    http://arxiv.org/abs/2001.10111v1

    • [cs.CV]Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
    Jaka Šircelj, Tim Oblak, Klemen Grm, Uroš Petković, Aleš Jaklič, Peter Peer, Vitomir Štruc, Franc Solina
    http://arxiv.org/abs/2001.10504v1

    • [cs.CV]Towards Open-Set Semantic Segmentation of Aerial Images
    Caio C. V. da Silva, Keiller Nogueira, Hugo N. Oliveira, Jefersson A. dos Santos
    http://arxiv.org/abs/2001.10063v1

    • [cs.CV]Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
    Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
    http://arxiv.org/abs/2001.09535v2

    • [cs.CV]f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
    Konstantin Sofiiuk, Ilia Petrov, Olga Barinova, Anton Konushin
    http://arxiv.org/abs/2001.10331v1

    • [cs.CY]Charting the Landscape of Online Cryptocurrency Manipulation
    Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi, Emilio Ferrara
    http://arxiv.org/abs/2001.10289v1

    • [cs.CY]Mining social media data for biomedical signals and health-related behavior
    Rion Brattig Correia, Ian B. Wood, Johan Bollen, Luis M. Rocha
    http://arxiv.org/abs/2001.10285v1

    • [cs.CY]Smart City Governance in Developing Countries: A Systematic Literature Review
    Si Ying Tan, Araz Taeihagh
    http://arxiv.org/abs/2001.10173v1

    • [cs.CY]The Effects of Gender Signals and Performance in Online Product Reviews
    Sandipan Sikdar, Rachneet Singh Sachdeva, Johannes Wachs, Florian Lemmerich, Markus Strohmaier
    http://arxiv.org/abs/2001.09955v2

    • [cs.CY]WikiHist.html: English Wikipedia’s Full Revision History in HTML Format
    Blagoj Mitrevski, Tiziano Piccardi, Robert West
    http://arxiv.org/abs/2001.10256v1

    • [cs.DC]A Closer Look at Lightweight Graph Reordering
    Priyank Faldu, Jeff Diamond, Boris Grot
    http://arxiv.org/abs/2001.08448v2

    • [cs.DC]A Scheduling Algorithm to Maximize Storm Throughput in Heterogeneous Cluster
    Hamid Nasiri, Saeed Nasehi, Arman Divband, Maziar Goudarzi
    http://arxiv.org/abs/2001.10308v1

    • [cs.DC]Automated Parallel Kernel Extraction from Dynamic Application Traces
    Richard Uhrie, Chaitali Chakrabarti, John Brunhaver
    http://arxiv.org/abs/2001.09995v1

    • [cs.DC]Characterizing and Understanding GCNs on GPU
    Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
    http://arxiv.org/abs/2001.10160v1

    • [cs.DC]FOS: A Modular FPGA Operating System for Dynamic Workloads
    Anuj Vaishnav, Khoa Dang Pham, Joseph Powell, Dirk Koch
    http://arxiv.org/abs/2001.09990v1

    • [cs.DC]InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
    Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
    http://arxiv.org/abs/2001.10483v1

    • [cs.DC]Intel Page Modification Logging, a hardware virtualization feature: study and improvement for virtual machine working set estimation
    Stella Bitchebe, Djob Mvondo, Alain Tchana, Laurent Réveillère, Noël De Palma
    http://arxiv.org/abs/2001.09991v1

    • [cs.DC]diBELLA: Distributed Long Read to Long Read Alignment
    Marquita Ellis, Giulia Guidi, Aydın Buluç, Leonid Oliker, Katherine Yelick
    http://arxiv.org/abs/2001.10049v1

    • [cs.GR]MGCN: Descriptor Learning using Multiscale GCNs
    Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka
    http://arxiv.org/abs/2001.10472v1

    • [cs.IR]Leveraging Schema Labels to Enhance Dataset Search
    Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison
    http://arxiv.org/abs/2001.10112v1

    • [cs.IR]Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
    Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
    http://arxiv.org/abs/2001.10167v1

    • [cs.IR]Selective Weak Supervision for Neural Information Retrieval
    Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
    http://arxiv.org/abs/2001.10382v1

    • [cs.IR]The Enron Corpus: Where the Email Bodies are Buried?
    David Noever
    http://arxiv.org/abs/2001.10374v1

    • [cs.IT]A Partial Information Decomposition Based on Causal Tensors
    David Sigtermans
    http://arxiv.org/abs/2001.10481v1

    • [cs.IT]An operational information decomposition via synergistic disclosure
    Fernando Rosas, Pedro Mediano, Borzoo Rassouli, Adam Barrett
    http://arxiv.org/abs/2001.10387v1

    • [cs.IT]Beyond Age: Urgency of Information for Timeliness Guarantee in Status Update Systems
    Xi Zheng, Sheng Zhou, Zhisheng Niu
    http://arxiv.org/abs/2001.10202v1

    • [cs.IT]Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting
    Shimin Gong, Yuze Zou, Dinh Thai Hoang, Jing Xu, Wenqing Cheng, Dusit Niyato
    http://arxiv.org/abs/2001.10180v1

    • [cs.IT]Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing
    Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang
    http://arxiv.org/abs/2001.10183v1

    • [cs.IT]Discrete Signal Processing with Set Functions
    Markus Püschel, Chris Wendler
    http://arxiv.org/abs/2001.10290v1

    • [cs.IT]Joint Activity Detection and Channel Estimation for mmW/THz Wideband Massive Access
    Xiaodan Shao, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
    http://arxiv.org/abs/2001.10131v1

    • [cs.IT]New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks
    Sandra Lagen, Kevin Wanuga, Hussain Elkotby, Sanjay Goyal, Natale Patriciello, Lorenza Giupponi
    http://arxiv.org/abs/2001.10309v1

    • [cs.IT]On the All-Or-Nothing Behavior of Bernoulli Group Testing
    Lan V. Truong, Jonathan Scarlett
    http://arxiv.org/abs/2001.10137v1

    • [cs.IT]Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning
    Q. Liu, L. Shi, L. Sun, J. Li, M. Ding, F. Shu
    http://arxiv.org/abs/2001.10268v1

    • [cs.IT]Prediction diversity and selective attention in the wisdom of crowds
    Davi A. Nobre, José F. Fontanari
    http://arxiv.org/abs/2001.10039v1

    • [cs.IT]Update Aware Device Scheduling for Federated Learning at the Wireless Edge
    Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor
    http://arxiv.org/abs/2001.10402v1

    • [cs.LG]A Primer on Domain Adaptation
    Pirmin Lemberger, Ivan Panico
    http://arxiv.org/abs/2001.09994v1

    • [cs.LG]Bandit optimisation of functions in the Matérn kernel RKHS
    David Janz, David R. Burt, Javier González
    http://arxiv.org/abs/2001.10396v1

    • [cs.LG]COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning
    Ping Xu, Yue Wang, Xiang Chen, Tian Zhi
    http://arxiv.org/abs/2001.10133v1

    • [cs.LG]Controlling generative models with continuous factors of variations
    Antoine Plumerault, Hervé Le Borgne, Céline Hudelot
    http://arxiv.org/abs/2001.10238v1

    • [cs.LG]Eigen-Stratified Models
    Jonathan Tuck, Stephen Boyd
    http://arxiv.org/abs/2001.10389v1

    • [cs.LG]Fast Graph Metric Learning via Gershgorin Disc Alignment
    Cheng Yang, Gene Cheung, Wei Hu
    http://arxiv.org/abs/2001.10485v1

    • [cs.LG]Faster Activity and Data Detection in Massive Random Access: A Multi-armed Bandit Approach
    Jialin Dong, Jun Zhang, Yuanming Shi, Jessie Hui Wang
    http://arxiv.org/abs/2001.10237v1

    • [cs.LG]Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
    Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
    http://arxiv.org/abs/2001.09993v1

    • [cs.LG]Graph Neighborhood Attentive Pooling
    Zekarias T. Kefato, Sarunas Girdzijauskas
    http://arxiv.org/abs/2001.10394v1

    • [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/2001.10528v1

    • [cs.LG]LIBTwinSVM: A Library for Twin Support Vector Machines
    Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri
    http://arxiv.org/abs/2001.10073v1

    • [cs.LG]MSE-Optimal Neural Network Initialization via Layer Fusion
    Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer
    http://arxiv.org/abs/2001.10509v1

    • [cs.LG]Margin Maximization as Lossless Maximal Compression
    Nikolaos Nikolaou, Henry Reeve, Gavin Brown
    http://arxiv.org/abs/2001.10318v1

    • [cs.LG]Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
    Mamatha Thota, Stefanos Kollias, Mark Swainson, Georgios Leontidis
    http://arxiv.org/abs/2001.10335v1

    • [cs.LG]Multi-label Prediction in Time Series Data using Deep Neural Networks
    Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
    http://arxiv.org/abs/2001.10098v1

    • [cs.LG]NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
    Arber Zela, Julien Siems, Frank Hutter
    http://arxiv.org/abs/2001.10422v1

    • [cs.LG]OPFython: A Python-Inspired Optimum-Path Forest Classifier
    Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão
    http://arxiv.org/abs/2001.10420v1

    • [cs.LG]Parameter Sharing in Coagent Networks
    Modjtaba Shokrian Zini
    http://arxiv.org/abs/2001.10474v1

    • [cs.LG]QActor: On-line Active Learning for Noisy Labeled Stream Data
    Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
    http://arxiv.org/abs/2001.10399v1

    • [cs.LG]Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
    Feiyang Cai, Xenofon Koutsoukos
    http://arxiv.org/abs/2001.10494v1

    • [cs.LG]Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
    Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar
    http://arxiv.org/abs/2001.10122v1

    • [cs.LG]Residual Tangent Kernels
    Etai Littwin, Lior Wolf
    http://arxiv.org/abs/2001.10460v1

    • [cs.LG]Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
    Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain
    http://arxiv.org/abs/2001.10495v1

    • [cs.LG]Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition
    Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic
    http://arxiv.org/abs/2001.10109v1

    • [cs.LG]Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
    Hao Xu, Shengqi Sang, Haiping Lu
    http://arxiv.org/abs/2001.10516v1

    • [cs.LG]Unsupervised Program Synthesis for Images using Tree-Structured LSTM
    Chenghui Zhou, Chun-Liang Li, Barnabas Poczos
    http://arxiv.org/abs/2001.10119v1

    • [cs.LG]Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems
    Molei Tao, Tomoki Ohsawa
    http://arxiv.org/abs/2001.10006v1

    • [cs.MA]Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes
    Silviu Pitis, Michael R. Zhang
    http://arxiv.org/abs/2001.10092v1

    • [cs.MA]Parameter Calibration in Crowd Simulation Models using Approximate Bayesian Computation
    Nikolai Bode
    http://arxiv.org/abs/2001.10330v1

    • [cs.NE]An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML
    Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
    http://arxiv.org/abs/2001.10178v1

    • [cs.NI]Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet
    Yong Xiao, Marwan Krunz
    http://arxiv.org/abs/2001.10199v1

    • [cs.NI]Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands
    Yong Xiao, Mohammed Hirzallah, Marwan Krunz
    http://arxiv.org/abs/2001.10296v1

    • [cs.NI]Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting
    Yong Xiao, Marwan Krunz
    http://arxiv.org/abs/2001.10300v1

    • [cs.NI]LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
    Benjamin Sliwa, Nico Piatkowski, Christian Wietfeld
    http://arxiv.org/abs/2001.10189v1

    • [cs.RO]Evaluation of the Handshake Turing Test for anthropomorphic Robots
    Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic
    http://arxiv.org/abs/2001.10464v1

    • [cs.RO]Learning to Catch Piglets in Flight
    Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt
    http://arxiv.org/abs/2001.10220v1

    • [cs.RO]Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure
    Milad Ramezani, Georgi Tinchev, Egor Iuganov, Maurice Fallon
    http://arxiv.org/abs/2001.10249v1

    • [cs.RO]Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
    Siddhartha Banerjee, Angel Daruna, David Kent, Weiyu Liu, Jonathan Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav, Sonia Chernova
    http://arxiv.org/abs/2001.10386v1

    • [cs.RO]Towards Learning Multi-agent Negotiations via Self-Play
    Yichuan Charlie Tang
    http://arxiv.org/abs/2001.10208v1

    • [cs.SD]Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform
    Tomohiko Nakamura, Hiroshi Saruwatari
    http://arxiv.org/abs/2001.10190v1

    • [cs.SE]Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack Overflow
    Alex Cummaudo, Rajesh Vasa, Scott Barnett, John Grundy, Mohamed Abdelrazek
    http://arxiv.org/abs/2001.10130v1

    • [cs.SI]Nonlocal PageRank
    Stefano Cipolla, Fabio Durastante, Francesco Tudisco
    http://arxiv.org/abs/2001.10421v1

    • [eess.AS]CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding
    Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante B., Marc Aubreville, Andreas Maier
    http://arxiv.org/abs/2001.10218v1

    • [eess.IV]Accurately identifying vertebral levels in large datasets
    Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
    http://arxiv.org/abs/2001.10503v1

    • [eess.IV]Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
    Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wroblewska, Jerzy Litniewski, Andrzej Nowicki
    http://arxiv.org/abs/2001.10061v1

    • [eess.IV]Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction
    Seyed Mehdi Ayyoubzadeh, Xiaolin Wu
    http://arxiv.org/abs/2001.10484v1

    • [eess.IV]Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
    Muhammad Shahzad, Arif Iqbal Umar, Muazzam A. Khan, Syed Hamad Shirazi, Zakir Khan, Waqas Yousaf
    http://arxiv.org/abs/2001.10188v1

    • [eess.IV]Spatial-Adaptive Network for Single Image Denoising
    Meng Chang, Qi Li, Huajun Feng, Zhihai Xu
    http://arxiv.org/abs/2001.10291v1

    • [eess.SP]Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks
    Fuhui Zhou, Rose Qingyang Hu
    http://arxiv.org/abs/2001.10234v1

    • [eess.SP]Inter-Tenant Cooperative Reception for C-RAN Systems With Spectrum Pooling
    Junbeom Kim, Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai
    http://arxiv.org/abs/2001.10305v1

    • [eess.SP]Performance Analysis of MIMO K-user Interference Channels with Hardware Impairments
    Mohammad Soleymani, Peter J. Schreier, Ignacio Santamaria
    http://arxiv.org/abs/2001.10403v1

    • [eess.SP]RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
    Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor
    http://arxiv.org/abs/2001.10363v1

    • [eess.SP]The Final Frontier: Deep Learning in Space
    Vivek Kothari, Edgar Liberis, Nicholas D. Lane
    http://arxiv.org/abs/2001.10362v1

    • [eess.SY]Data-driven control of micro-climate in buildings; an event-triggered reinforcement learning approach
    Ashkan Haji Hosseinloo, Alexander Ryzhov, Aldo Bischi, Henni Ouerdane, Konstantin Turitsyn, Munther A. Dahleh
    http://arxiv.org/abs/2001.10505v1

    • [math.CO]Connections between scattered linear sets and MRD-codes
    Olga Polverino, Ferdinando Zullo
    http://arxiv.org/abs/2001.10067v1

    • [math.NA]On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows
    Sebastian Grimberg, Charbel Farhat, Noah Youkilis
    http://arxiv.org/abs/2001.10110v1

    • [math.NA]Parallel solution of saddle point systems with nested iterative solvers based on the Golub-Kahan Bidiagonalization
    Carola Kruse, Masha Sosonkina, Mario Arioli, Nicolas Tardieu, Ulrich Ruede
    http://arxiv.org/abs/2001.10424v1

    • [math.OC]A Class of Linear Programs Solvable by Coordinate-wise Minimization
    Tomáš Dlask, Tomáš Werner
    http://arxiv.org/abs/2001.10467v1

    • [math.OC]A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
    Jia-Jie Zhu, Bernhard Schölkopf, Moritz Diehl
    http://arxiv.org/abs/2001.10398v1

    • [math.ST]Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
    Jérémie Bigot, Charles Deledalle
    http://arxiv.org/abs/2001.10391v1

    • [math.ST]Multi-trek separation in Linear Structural Equation Models
    Elina Robeva, Jean-Baptiste Seby
    http://arxiv.org/abs/2001.10426v1

    • [math.ST]Optimal Gaussian Approximation for Multiple Time Series
    Sayar Karmakar, Wei Biao Wu
    http://arxiv.org/abs/2001.10164v1

    • [math.ST]Rate of Estimation for the Stationary Distribution of Stochastic Damping Hamiltonian Systems with Continuous Observations
    Sylvain Delattre, Arnaud Gloter, Nakahiro Yoshida
    http://arxiv.org/abs/2001.10423v1

    • [math.ST]Saddlepoint approximations for spatial panel data models
    Chaonan Jiang, Davide La Vecchia, Elvezio Ronchetti, Olivier Scaillet
    http://arxiv.org/abs/2001.10377v1

    • [physics.data-an]WISDoM: a framework for the Analysis of Wishart distributed matrices
    Carlo Mengucci, Daniel Remondini, Enrico Giampieri
    http://arxiv.org/abs/2001.10342v1

    • [physics.flu-dyn]Reservoir computing model of two-dimensional turbulent convection
    Sandeep Pandey, Jörg Schumacher
    http://arxiv.org/abs/2001.10280v1

    • [physics.geo-ph]Real-Time Well Log Prediction From Drilling Data Using Deep Learning
    Rayan Kanfar, Obai Shaikh, Mehrdad Yousefzadeh, Tapan Mukerji
    http://arxiv.org/abs/2001.10156v1

    • [physics.soc-ph]Evolutionary Dynamics of Higher-Order Interactions
    Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda, Yamir Moreno, Matjaz Perc, Vito Latora
    http://arxiv.org/abs/2001.10313v1

    • [q-fin.PR]A random forest based approach for predicting spreads in the primary catastrophe bond market
    Despoina Makariou, Pauline Barrieu, Yining Chen
    http://arxiv.org/abs/2001.10393v1

    • [quant-ph]Fast quantum learning with statistical guarantees
    Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig
    http://arxiv.org/abs/2001.10477v1

    • [quant-ph]Real-time calibration of coherent-state receivers: learning by trial and error
    M. Bilkis, M. Rosati, R. Morral Yepes, J. Calsamiglia
    http://arxiv.org/abs/2001.10283v1

    • [stat.AP]Relationship between the melting Arctic Sea Ice Extent and North Atlantic Oscillation Index
    Alka Yadav, Sourish Das, Anirban Chakraborti
    http://arxiv.org/abs/2001.10171v1

    • [stat.AP]Skills to not fall behind in school
    Felipe Maia Polo
    http://arxiv.org/abs/2001.10519v1

    • [stat.AP]Statistical Exploration of Relationships Between Routine and Agnostic Features Towards Interpretable Risk Characterization
    Eric Wolsztynski
    http://arxiv.org/abs/2001.10353v1

    • [stat.AP]Statistical post-processing of heat index ensemble forecasts: is there a royal road?
    Sándor Baran, Ágnes Baran, Florian Pappenberger, Zied Ben Bouallègue
    http://arxiv.org/abs/2001.08712v2

    • [stat.CO]Optimal subsampling for quantile regression in big data
    HaiYing Wang, Yanyuan Ma
    http://arxiv.org/abs/2001.10168v1

    • [stat.ME]A Proposed Method for Assessing Cluster Heterogeneity
    J W G Addy, J Langhorne
    http://arxiv.org/abs/2001.09996v1

    • [stat.ME]Inference in High-Dimensional Linear Measurement Error Models
    Mengyan Li, Runze Li, Yanyuan Ma
    http://arxiv.org/abs/2001.10142v1

    • [stat.ME]Nonparametric multivariate regression estimation for circular responses
    Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras, Agnese Panzera
    http://arxiv.org/abs/2001.10317v1

    • [stat.ME]On the Dimensional Indeterminacy of One-Wave Factor Analysis Under Causal Effects
    Tyler J. VanderWeele, Charles J. K. Batty
    http://arxiv.org/abs/2001.10352v1

    • [stat.ME]The n-dimensional Extension of the Lomb-Scargle Method
    Martin Seilmayer, Ferran Garcia Gonzalez, Thomas Wondrak
    http://arxiv.org/abs/2001.10200v1

    • [stat.ML]Multi-class Gaussian Process Classification with Noisy Inputs
    Carlos Villacampa-Calvo, Bryan Zaldivar, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
    http://arxiv.org/abs/2001.10523v1

    • [stat.ML]Multivariate Gaussian Variational Inference by Natural Gradient Descent
    Timothy D. Barfoot
    http://arxiv.org/abs/2001.10025v1

    • [stat.ML]Predicting Regression Probability Distributions with Imperfect Data Through Optimal Transformations
    Jerome H. Friedman
    http://arxiv.org/abs/2001.10102v1

    • [stat.OT]Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications
    Nassim Nicholas Taleb
    http://arxiv.org/abs/2001.10488v1