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