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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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
• [cs.AI]A Journey into Ontology Approximation: From Non-Horn to Hon
• [cs.AI]A Neural Architecture for Person Ontology population
• [cs.AI]Adaptive Large Neighborhood Search for Circle Bin Packing Problem
• [cs.AI]DeepEnroll: Patient-Trial Matching with Deep Embeddingand Entailment Prediction
• [cs.AI]Emergence of Pragmatics from Referential Game between Theory of Mind Agents
• [cs.AI]StarAI: Reducing incompleteness in the game of Bridge using PLP
• [cs.CL]ARAACOM: ARAbic Algerian Corpus for Opinion Mining
• [cs.CL]Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization
• [cs.CL]Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
• [cs.CL]ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
• [cs.CL]Multilingual Denoising Pre-training for Neural Machine Translation
• [cs.CL]Normalization of Input-output Shared Embeddings in Text Generation Models
• [cs.CL]Shared Task: Lexical Semantic Change Detection in German
• [cs.CL]TLT-school: a Corpus of Non Native Children Speech
• [cs.CL]Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
• [cs.CL]Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
• [cs.CR]An authentication protocol based on chaos and zero knowledge proof
• [cs.CR]GhostImage: Perception Domain Attacks against Vision-based Object Classification Systems
• [cs.CR]Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework
• [cs.CR]Preventive and Reactive Cyber Defense Dynamics with Ergodic Time-dependent Parameters Is Globally Attractive
• [cs.CV]A Fixation-based 360° Benchmark Dataset for Salient Object Detection
• [cs.CV]An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
• [cs.CV]Are Accelerometers for Activity Recognition a Dead-end?
• [cs.CV]Attention! A Lightweight 2D Hand Pose Estimation Approach
• [cs.CV]Block-wise Scrambled Image Recognition Using Adaptation Network
• [cs.CV]Causality based Feature Fusion for Brain Neuro-Developmental Analysis
• [cs.CV]Curvature Regularized Surface Reconstruction from Point Cloud
• [cs.CV]Deep Depth Prior for Multi-View Stereo
• [cs.CV]Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework
• [cs.CV]Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread
• [cs.CV]Discovering Salient Anatomical Landmarks by Predicting Human Gaze
• [cs.CV]Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints
• [cs.CV]EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
• [cs.CV]ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
• [cs.CV]LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
• [cs.CV]Learning to Correct 3D Reconstructions from Multiple Views
• [cs.CV]Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
• [cs.CV]M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks
• [cs.CV]Optimized Generic Feature Learning for Few-shot Classification across Domains
• [cs.CV]Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
• [cs.CV]ResDepth: Learned Residual Stereo Reconstruction
• [cs.CV]Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
• [cs.CV]UniPose: Unified Human Pose Estimation in Single Images and Videos
• [cs.CV]Weakly Supervised Temporal Action Localization Using Deep Metric Learning
• [cs.CY]Fairness Metrics: A Comparative Analysis
• [cs.DB]Graph Generators: State of the Art and Open Challenges
• [cs.DB]RCELF: A Residual-based Approach for Influence Maximization Problem
• [cs.DC]A Simple and Efficient Binary Byzantine Consensus Algorithm using Cryptography and Partial Synchrony
• [cs.DC]Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided
• [cs.DC]Fine-grained Analysis on Fast Implementations of Multi-writer Atomic Registers
• [cs.DC]Properties of the Tangle for Uniform Random and Random Walk Tip Selection
• [cs.DC]Towards Digital Twins for the Description of Automotive Software Systems
• [cs.DC]Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics
• [cs.DL]Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
• [cs.DS]High-Quality Hierarchical Process Mapping
• [cs.GT]A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
• [cs.HC]VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
• [cs.HC]augKlimb: Interactive Data-Led Augmentation of Bouldering Training
• [cs.IR]Emotion and Sentiment Lexicon Impact on Sentiment Analysis Applied to Book Reviews
• [cs.IT]Construction of Rate (n-1)/n Non-Binary LDPC Convolutional Codes via Difference Triangle Sets
• [cs.IT]On the Capacity of Waveform Channels Under Square-Law Detection of Time-Limited Signals
• [cs.IT]On the Performance of Quickest Detection Spectrum Sensing: The Case of Cumulative Sum
• [cs.IT]Optimal Multistage Group Testing Algorithm for 3 Defectives
• [cs.LG]Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute
• [cs.LG]Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification
• [cs.LG]CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking
• [cs.LG]Convergence Time Optimization for Federated Learning over Wireless Networks
• [cs.LG]Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
• [cs.LG]GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
• [cs.LG]Improving Label Ranking Ensembles using Boosting Techniques
• [cs.LG]Incentivising Exploration and Recommendations for Contextual Bandits with Payments
• [cs.LG]Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
• [cs.LG]Local Policy Optimization for Trajectory-Centric Reinforcement Learning
• [cs.LG]Loss-annealed GAIL for sample efficient and stable Imitation Learning
• [cs.LG]Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
• [cs.LG]On Solving Cooperative MARL Problems with a Few Good Experiences
• [cs.LG]Optimal binning: mathematical programming formulation
• [cs.LG]Pruning CNN’s with linear filter ensembles
• [cs.LG]Q-Learning in enormous action spaces via amortized approximate maximization
• [cs.LG]Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
• [cs.LG]Secure and Robust Machine Learning for Healthcare: A Survey
• [cs.MA]Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems
• [cs.NE]Accelerating supply chains with Ant Colony Optimization across range of hardware solutions
• [cs.NE]Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
• [cs.NI]A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies
• [cs.NI]A Power-Efficient Audio Acquisition System for Smart City Applications
• [cs.RO]A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles
• [cs.RO]Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments
• [cs.RO]Iterator-Based Temporal Logic Task Planning
• [cs.RO]OmBURo: A Novel Unicycle Robot with Active Omnidirectional Wheel
• [cs.RO]On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning
• [cs.RO]Opportunities and Limitations of Mixed Reality Holograms in Industrial Robotics
• [cs.RO]Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks
• [cs.RO]Safe Robot Navigation via Multi-Modal Anomaly Detection
• [cs.RO]Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates
• [cs.RO]TEASER: Fast and Certifiable Point Cloud Registration
• [cs.SE]Benchmarking Symbolic Execution Using Constraint Problems — Initial Results
• [cs.SI]Adversarial Attack on Community Detection by Hiding Individuals
• [cs.SI]An Approach for Time-aware Domain-based Social Influence Prediction
• [cs.SI]Deep Collaborative Embedding for information cascade prediction
• [cs.SI]Simple and Fast Distributed Computation of Betweenness Centrality
• [econ.EM]Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions
• [eess.AS]Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
• [eess.IV]Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
• [eess.IV]Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method
• [eess.IV]Automatic phantom test pattern classification through transfer learning with deep neural networks
• [eess.IV]DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
• [eess.IV]Learning Deformable Registration of Medical Images with Anatomical
8fb
Constraints
• [eess.IV]Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
• [eess.IV]RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation
• [eess.IV]S$^{2}$OMGAN: Shortcut from Remote Sensing Images to Online Maps
• [eess.SP]Computing Similarity Queries for Correlated Gaussian Sources
• [eess.SP]Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
• [eess.SP]Physical Layer Authentication for Non-coherent Massive SIMO-Based Industrial IoT Communications
• [eess.SY]Impedance Modulation for Negotiating Control Authority in a Haptic Shared Control Paradigm
• [math.DS]Loci of Triangular Orbits in an Elliptic Billiard
• [math.DS]New Properties of Triangular Orbits in Elliptic Billiards
• [math.NA]Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
• [math.OC]DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem
• [math.OC]SA vs SAA for population Wasserstein barycenter calculation
• [math.ST]A new goodness of fit test for normal distribution based on Stein’s characterization
• [math.ST]Bures-Wasserstein Geometry
• [math.ST]Estimating the reach of a manifold via its convexity defect function
• [math.ST]Learning functions varying along an active subspace
• [math.ST]When does the Tukey median work?
• [physics.soc-ph]Homophily based on few attributes can impede structural balance
• [physics.soc-ph]Time-invariant degree growth in preferential attachment network models
• [physics.soc-ph]Who voted for a No Deal Brexit? A Composition Model of Great Britains 2019 European Parliamentary Elections
• [q-bio.NC]Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
• [stat.AP]Cohort state-transition models in R: From conceptualization to implementation
• [stat.AP]Comparing the Performance of Statistical Adjustment Methods By Recovering the Experimental Benchmark from the REFLUX Trial
• [stat.AP]Estimation of Latent Network Flows in Bike-Sharing Systems
• [stat.AP]Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction
• [stat.AP]Missed opportunities in large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
• [stat.AP]Multiple imputation in functional regression with applications to EEG data in a depression study
• [stat.AP]Nonparametric Causal Feature Selection for Spatiotemporal Risk Mapping of Malaria Incidence in Madagascar
• [stat.CO]Lasso for hierarchical polynomial models
• [stat.ME]A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
• [stat.ME]A numerically stable algorithm for integrating Bayesian models using Markov melding
• [stat.ME]Knockoffs with Side Information
• [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
• [stat.ML]Keyword-based Topic Modeling and Keyword Selection
• [stat.ML]On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
• [stat.ML]Optimal estimation of sparse topic models
• [stat.ML]Stratified cross-validation for unbiased and privacy-preserving federated learning
• [stat.ML]Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
·····································
• [cs.AI]A Journey into Ontology Approximation: From Non-Horn to Hon
Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter
http://arxiv.org/abs/2001.07754v1
• [cs.AI]A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh, Hima Patel, Berthold Reinwald
http://arxiv.org/abs/2001.08013v1
• [cs.AI]Adaptive Large Neighborhood Search for Circle Bin Packing Problem
Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao
http://arxiv.org/abs/2001.07709v1
• [cs.AI]DeepEnroll: Patient-Trial Matching with Deep Embeddingand Entailment Prediction
Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun
http://arxiv.org/abs/2001.08179v1
• [cs.AI]Emergence of Pragmatics from Referential Game between Theory of Mind Agents
Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu
http://arxiv.org/abs/2001.07752v1
• [cs.AI]StarAI: Reducing incompleteness in the game of Bridge using PLP
J Li, S Thepaut, V Ventos
http://arxiv.org/abs/2001.08193v1
• [cs.CL]ARAACOM: ARAbic Algerian Corpus for Opinion Mining
Zitouni Abdelhafid, Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi
http://arxiv.org/abs/2001.08010v1
• [cs.CL]Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization
Bruno Taillé, Vincent Guigue, Patrick Gallinari
http://arxiv.org/abs/2001.08053v1
• [cs.CL]Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
Ying Xu, Xu Zhong, Antonio Jose Jimeno Yepes, Jey Han Lau
http://arxiv.org/abs/2001.07820v1
• [cs.CL]ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
Darryl Hannan, Akshay Jain, Mohit Bansal
http://arxiv.org/abs/2001.08034v1
• [cs.CL]Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
http://arxiv.org/abs/2001.08210v1
• [cs.CL]Normalization of Input-output Shared Embeddings in Text Generation Models
Jinyang Liu, Yujia Zhai, Zizhong Chen
http://arxiv.org/abs/2001.07885v1
• [cs.CL]Shared Task: Lexical Semantic Change Detection in German
Adnan Ahmad, Kiflom Desta, Fabian Lang, Dominik Schlechtweg
http://arxiv.org/abs/2001.07786v1
• [cs.CL]TLT-school: a Corpus of Non Native Children Speech
Roberto Gretter, Marco Matassoni, Stefano Bannò, Daniele Falavigna
http://arxiv.org/abs/2001.08051v1
• [cs.CL]Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
http://arxiv.org/abs/2001.08140v1
• [cs.CL]Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov
http://arxiv.org/abs/2001.07740v1
• [cs.CR]An authentication protocol based on chaos and zero knowledge proof
Will Major, William J Buchanan, Jawad Ahmad
http://arxiv.org/abs/2001.07897v1
• [cs.CR]GhostImage: Perception Domain Attacks against Vision-based Object Classification Systems
Yanmao Man, Ming Li, Ryan Gerdes
http://arxiv.org/abs/2001.07792v1
• [cs.CR]Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework
Awais Ahmed, Sufian Hameed, Muhammad Rafi, Qublai Khan Ali Mirza
http://arxiv.org/abs/2001.08155v1
• [cs.CR]Preventive and Reactive Cyber Defense Dynamics with Ergodic Time-dependent Parameters Is Globally Attractive
Yujuan Han, Wenlian Lu, Shouhuai Xu
http://arxiv.org/abs/2001.07958v1
• [cs.CV]A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Yi Zhang, Lu Zhang, Wassim Hamidouche, Olivier Deforges
http://arxiv.org/abs/2001.07960v1
• [cs.CV]An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
http://arxiv.org/abs/2001.07710v1
• [cs.CV]Are Accelerometers for Activity Recognition a Dead-end?
Catherine Tong, Shyam A. Tailor, Nicholas D. Lane
http://arxiv.org/abs/2001.08111v1
• [cs.CV]Attention! A Lightweight 2D Hand Pose Estimation Approach
Nicholas Santavas, Ioannis Kansizoglou, Loukas Bampis, Evangelos Karakasis, Antonios Gasteratos
http://arxiv.org/abs/2001.08047v1
• [cs.CV]Block-wise Scrambled Image Recognition Using Adaptation Network
Koki Madono, Masayuki Tanaka, Masaki Onishi, Tetsuji Ogawa
http://arxiv.org/abs/2001.07761v1
• [cs.CV]Causality based Feature Fusion for Brain Neuro-Developmental Analysis
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu Ping Wang
http://arxiv.org/abs/2001.08173v1
• [cs.CV]Curvature Regularized Surface Reconstruction from Point Cloud
Yuchen He, Sung Ha Kang, Hao Liu
http://arxiv.org/abs/2001.07884v1
• [cs.CV]Deep Depth Prior for Multi-View Stereo
Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi
http://arxiv.org/abs/2001.07791v1
• [cs.CV]Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework
Subhayan Mukherjee, Ram Mohana Reddy Guddeti
http://arxiv.org/abs/2001.07809v1
• [cs.CV]Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread
Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu
http://arxiv.org/abs/2001.08057v1
• [cs.CV]Discovering Salient Anatomical Landmarks by Predicting Human Gaze
Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble
http://arxiv.org/abs/2001.08188v1
• [cs.CV]Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints
Jean-Rassaire Fouefack, Bhushan Borotikar, Tania S. Douglas, Valérie Burdin, Tinashe E. M. Mutsvangwa
http://arxiv.org/abs/2001.07904v1
• [cs.CV]EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
Nadia Berthouze, Michel Valstar, Amanda Williams, Joy Egede, Temitayo Olugbade, Chongyang Wang, Hongyin Meng, Min Aung, Nicholas Lane, Siyang Song
http://arxiv.org/abs/2001.07739v1
• [cs.CV]ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
Di Qi, Lin Su, Jia Song, Edward Cui, Taroon Bharti, Arun Sachet
http://arxiv.org/abs/2001.07966v1
• [cs.CV]LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
Angfan Zhu, Jiaqi Yang, Chen Zhao, Ke Xian, Zhiguo Cao, Xin Li
http://arxiv.org/abs/2001.07832v1
• [cs.CV]Learning to Correct 3D Reconstructions from Multiple Views
Ştefan Săftescu, Paul Newman
http://arxiv.org/abs/2001.08098v1
• [cs.CV]Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu
http://arxiv.org/abs/2001.07776v1
• [cs.CV]M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks
Sara Shahsavarani, Morteza Analoui, Reza Shoja Ghiass
http://arxiv.org/abs/2001.07871v1
• [cs.CV]Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia, Thomas Brox, Cordelia Schmid
http://arxiv.org/abs/2001.07926v1
• [cs.CV]Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
Ryuhei Takahashi, Masaaki Iiyama, Atsushi Hashimoto, Motoharu Sonogashira
http://arxiv.org/abs/2001.07895v1
• [cs.CV]ResDepth: Learned Residual Stereo Reconstruction
Corinne Stucker, Konrad Schindler
http://arxiv.org/abs/2001.08026v1
• [cs.CV]Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
Ziyue Xiang, Daniel Acuna
http://arxiv.org/abs/2001.07799v1
• [cs.CV]UniPose: Unified Human Pose Estimation in Single Images and Videos
Bruno Artacho, Andreas Savakis
http://arxiv.org/abs/2001.08095v1
• [cs.CV]Weakly Supervised Temporal Action Localization Using Deep Metric Learning
Ashraful Islam, Richard J. Radke
http://arxiv.org/abs/2001.07793v1
• [cs.CY]Fairness Metrics: A Comparative Analysis
Pratyush Garg, John Villasenor, Virginia Foggo
http://arxiv.org/abs/2001.07864v1
• [cs.DB]Graph Generators: State of the Art and Open Challenges
Angela Bonifati, Irena Holubová, Arnau Prat-Pérez, Sherif Sakr
http://arxiv.org/abs/2001.07906v1
• [cs.DB]RCELF: A Residual-based Approach for Influence Maximization Problem
Xinxun Zeng, Shiqi Zhang, Bo Tang
http://arxiv.org/abs/2001.06630v2
• [cs.DC]A Simple and Efficient Binary Byzantine Consensus Algorithm using Cryptography and Partial Synchrony
Tyler Crain
http://arxiv.org/abs/2001.07867v1
• [cs.DC]Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided
Robert Gerstenberger, Maciej Besta, Torsten Hoefler
http://arxiv.org/abs/2001.07747v1
• [cs.DC]Fine-grained Analysis on Fast Implementations of Multi-writer Atomic Registers
Kaile Huang, Yu Huang, Hengfeng Wei
http://arxiv.org/abs/2001.07855v1
• [cs.DC]Properties of the Tangle for Uniform Random and Random Walk Tip Selection
Bartosz Kusmierz, William Sanders, Andreas Penzkofer, Angelo Capossele, Alon Gal
http://arxiv.org/abs/2001.07734v1
• [cs.DC]Towards Digital Twins for the Description of Automotive Software Systems
Jan Olaf Blech
http://arxiv.org/abs/2001.07706v1
• [cs.DC]Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics
Ayat Fekry, Lucian Carata, Thomas Pasquier, Andrew Rice, Andy Hopper
http://arxiv.org/abs/2001.08002v1
• [cs.DL]Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
Hao Peng, Qing Ke, Ceren Budak, Daniel M. Romero, Yong-Yeol Ahn
http://arxiv.org/abs/2001.08199v1
• [cs.DS]High-Quality Hierarchical Process Mapping
Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz
http://arxiv.org/abs/2001.07134v2
• [cs.GT]A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
Ioannis Arapakis, Antonio Penta, Hideo Joho, Luis A. Leiva
http://arxiv.org/abs/2001.07803v1
• [cs.HC]VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, Huamin Qu
http://arxiv.org/abs/2001.07876v1
• [cs.HC]augKlimb: Interactive Data-Led Augmentation of Bouldering Training
Luke Storry
http://arxiv.org/abs/2001.07944v1
• [cs.IR]Emotion and Sentiment Lexicon Impact on Sentiment Analysis Applied to Book Reviews
Patrice Bellot, Lerch Soëlie, Bruno Emmanuel, Murisasco Elisabeth
http://arxiv.org/abs/2001.07987v1
• [cs.IT]Construction of Rate (n-1)/n Non-Binary LDPC Convolutional Codes via Difference Triangle Sets
Gianira N. Alfarano, Julia Lieb, Joachim Rosenthal
http://arxiv.org/abs/2001.07969v1
• [cs.IT]On the Capacity of Waveform Channels Under Square-Law Detection of Time-Limited Signals
Amir Tasbihi, Frank R. Kschischang
http://arxiv.org/abs/2001.08138v1
• [cs.IT]On the Performance of Quickest Detection Spectrum Sensing: The Case of Cumulative Sum
Ahmed Badawy, Ahmed El Shafie, Tamer Khattab
http://arxiv.org/abs/2001.07828v1
• [cs.IT]Optimal Multistage Group Testing Algorithm for 3 Defectives
Ilya Vorobyev
http://arxiv.org/abs/2001.08005v1
• [cs.LG]Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute
Tiphaine Viard, Thomas McLachlan, Hamidreza Ghader, Satoshi Sekine
http://arxiv.org/abs/2001.07558v2
• [cs.LG]Coarse-Grain Cluster Analysis of Tensors With Application to Climate Biome Identification
Derek DeSantis, Phillip J. Wolfram, Katrina Bennett, Boian Alexandrov
http://arxiv.org/abs/2001.07827v1
• [cs.LG]CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking
Grigori Fursin, Herve Guillou, Nicolas Essayan
http://arxiv.org/abs/2001.07935v1
• [cs.LG]Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui
http://arxiv.org/abs/2001.07845v1
• [cs.LG]Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
Jiawei Zhang
http://arxiv.org/abs/2001.07922v1
• [cs.LG]GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
http://arxiv.org/abs/2001.08184v1
• [cs.LG]Improving Label Ranking Ensembles using Boosting Techniques
Lihi Dery, Erez Shmueli
http://arxiv.org/abs/2001.07744v1
• [cs.LG]Incentivising Exploration and Recommendations for Contextual Bandits with Payments
Priyank Agrawal, Theja Tulabandhula
http://arxiv.org/abs/2001.07853v1
• [cs.LG]Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Mengyuan Chen, Jiang Zhang, Zhang Zhang, Lun Du, Qiao Hu, Shuo Wang, Jiaqi Zhu
http://arxiv.org/abs/2001.06576v1
• [cs.LG]Local Policy Optimization for Trajectory-Centric Reinforcement Learning
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
http://arxiv.org/abs/2001.08092v1
• [cs.LG]Loss-annealed GAIL for sample efficient and stable Imitation Learning
Rohit Jena, Katia Sycara
http://arxiv.org/abs/2001.07798v1
• [cs.LG]Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng, Chau
http://arxiv.org/abs/2001.07769v1
• [cs.LG]On Solving Cooperative MARL Problems with a Few Good Experiences
Rajiv Ranjan Kumar, Pradeep Varakantham
http://arxiv.org/abs/2001.07993v1
• [cs.LG]Optimal binning: mathematical programming formulation
Guillermo Navas-Palencia
http://arxiv.org/abs/2001.08025v1
• [cs.LG]Pruning CNN’s with linear filter ensembles
Csanád Sándor, Szabolcs Pável, Lehel Csató
http://arxiv.org/abs/2001.08142v1
• [cs.LG]Q-Learning in enormous action spaces via amortized approximate maximization
Tom Van de Wiele, David Warde-Farley, Andriy Mnih, Volodymyr Mnih
http://arxiv.org/abs/2001.08116v1
• [cs.LG]Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht
http://arxiv.org/abs/2001.08001v1
• [cs.LG]Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala Al-Fuqaha
http://arxiv.org/abs/2001.08103v1
• [cs.MA]Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems
Shikha Singh, Deepak Khemani
http://arxiv.org/abs/2001.08016v1
• [cs.NE]Accelerating supply chains with Ant Colony Optimization across range of hardware solutions
Ivars Dzalbs, Tatiana Kalganova
http://arxiv.org/abs/2001.08102v1
• [cs.NE]Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
http://arxiv.org/abs/2001.07804v1
• [cs.NI]A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies
Sohini Roy, Harish Chandrasekaran, Anamitra Pal, Arunabha Sen
http://arxiv.org/abs/2001.06610v1
• [cs.NI]A Power-Efficient Audio Acquisition System for Smart City Applications
Evan Fallis, Petros Spachos, Stefano Gregori
http://arxiv.org/abs/2001.08163v1
• [cs.RO]A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles
Manuel Castillo-Lopez, Philippe Ludivig, Seyed Amin Sajadi-Alamdari, Jose Luis Sanchez-Lopez, Miguel A. Olivares-Mendez, Holger Voos
http://arxiv.org/abs/2001.08012v1
• [cs.RO]Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments
Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong
http://arxiv.org/abs/2001.08096v1
• [cs.RO]Iterator-Based Temporal Logic Task Planning
Sebastián Zudaire, Martín Garrett, Sebastián Uchitel
http://arxiv.org/abs/2001.07678v2
• [cs.RO]OmBURo: A Novel Unicycle Robot with Active Omnidirectional Wheel
Junjie Shen, Dennis Hong
http://arxiv.org/abs/2001.07856v1
• [cs.RO]On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning
Ameya Pore, Gerardo Aragon-Camarasa
http://arxiv.org/abs/2001.07973v1
• [cs.RO]Opportunities and Limitations of Mixed Reality Holograms in Industrial Robotics
Michael Filipenko, Andreas Angerer, Alwin Hoffmann, Wolfgang Reif
http://arxiv.org/abs/2001.08166v1
• [cs.RO]Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks
Jingren Xu, Kensuke Harada, Weiwei Wan, Toshio Ueshiba, Yukiyasu Domae
http://arxiv.org/abs/2001.08042v1
• [cs.RO]Safe Robot Navigation via Multi-Modal Anomaly Detection
Lorenz Wellhausen, René Ranftl, Marco Hutter
http://arxiv.org/abs/2001.07934v1
• [cs.RO]Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
http://arxiv.org/abs/2001.08198v1
• [cs.RO]TEASER: Fast and Certifiable Point Cloud Registration
Heng Yang, Jingnan Shi, Luca Carlone
http://arxiv.org/abs/2001.07715v1
• [cs.SE]Benchmarking Symbolic Execution Using Constraint Problems — Initial Results
Sahil Verma, Roland H. C. Yap
http://arxiv.org/abs/2001.07914v1
• [cs.SI]Adversarial Attack on Community Detection by Hiding Individuals
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
http://arxiv.org/abs/2001.07933v1
• [cs.SI]An Approach for Time-aware Domain-based Social Influence Prediction
Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
http://arxiv.org/abs/2001.07838v1
• [cs.SI]Deep Collaborative Embedding for information cascade prediction
Yuhui Zhao, Ning Yang, Tao Lin, Philip S. Yu
http://arxiv.org/abs/2001.06665v1
• [cs.SI]Simple and Fast Distributed Computation of Betweenness Centrality
Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz
http://arxiv.org/abs/2001.08108v1
• [econ.EM]Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions
Karsten Schweikert
http://arxiv.org/abs/2001.07949v1
• [eess.AS]Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang
http://arxiv.org/abs/2001.07849v1
• [eess.IV]Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu
http://arxiv.org/abs/2001.07766v1
• [eess.IV]Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method
H. Shibata, S. Hanaoka, Y. Nomura, T. Nakao, I. Sato, N. Hayashi, O. Abe
http://arxiv.org/abs/2001.07847v1
• [eess.IV]Automatic phantom test pattern classification through transfer learning with deep neural networks
Rafael B. Fricks, Justin Solomon, Ehsan Samei
http://arxiv.org/abs/2001.08189v1
• [eess.IV]DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
Hanhe Lin, Vlad Hosu, Dietmar Saupe
http://arxiv.org/abs/2001.08113v1
• [eess.IV]Learning Deformable Registration of Medical Images with Anatomical
8fb
Constraints
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
http://arxiv.org/abs/2001.07183v2
• [eess.IV]Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
Sheng Zhong, Shifu Zhou
http://arxiv.org/abs/2001.08126v1
• [eess.IV]RDAnet: A Deep Learning Based Approach for Synthetic Aperture Radar Image Formation
Andrew Rittenbach, John Paul Walters
http://arxiv.org/abs/2001.08202v1
• [eess.IV]S$^{2}$OMGAN: Shortcut from Remote Sensing Images to Online Maps
X. Chen, S. Chen, T. Xu, B. Yin, X. Mei, J. Peng, H. Li
http://arxiv.org/abs/2001.07712v1
• [eess.SP]Computing Similarity Queries for Correlated Gaussian Sources
Hanwei Wu, Qiwen Wang, Markus Flierl
http://arxiv.org/abs/2001.07941v1
• [eess.SP]Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Amin Azari, Fayezeh Ghavimi, Mustafa Ozger, Riku Jantti, Cicek Cavdar
http://arxiv.org/abs/2001.07937v1
• [eess.SP]Physical Layer Authentication for Non-coherent Massive SIMO-Based Industrial IoT Communications
Zhifang Gu, He Chen, Pingping Xu, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/2001.07315v1
• [eess.SY]Impedance Modulation for Negotiating Control Authority in a Haptic Shared Control Paradigm
Vahid Izadi, Akshay Bhardwaj, Amir H. Ghasemi
http://arxiv.org/abs/2001.07779v1
• [math.DS]Loci of Triangular Orbits in an Elliptic Billiard
Dan Reznik, Ronaldo Garcia, Jair Koiller
http://arxiv.org/abs/2001.08041v1
• [math.DS]New Properties of Triangular Orbits in Elliptic Billiards
Ronaldo Garcia, Dan Reznik, Jair Koiller
http://arxiv.org/abs/2001.08054v1
• [math.NA]Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl
http://arxiv.org/abs/2001.08187v1
• [math.OC]DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem
Xiaoming Li, Chun Wang, Xiao Huang
http://arxiv.org/abs/2001.08109v1
• [math.OC]SA vs SAA for population Wasserstein barycenter calculation
Darina Dvinskikh
http://arxiv.org/abs/2001.07697v1
• [math.ST]A new goodness of fit test for normal distribution based on Stein’s characterization
Sudheesh Kattumannil
http://arxiv.org/abs/2001.07932v1
• [math.ST]Bures-Wasserstein Geometry
Jesse van Oostrum
http://arxiv.org/abs/2001.08056v1
• [math.ST]Estimating the reach of a manifold via its convexity defect function
Clément Berenfeld, John Harvey, Marc Hoffmann, Krishnan Shankar
http://arxiv.org/abs/2001.08006v1
• [math.ST]Learning functions varying along an active subspace
Hao Liu, Wenjing Liao
http://arxiv.org/abs/2001.07883v1
• [math.ST]When does the Tukey median work?
Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
http://arxiv.org/abs/2001.07805v1
• [physics.soc-ph]Homophily based on few attributes can impede structural balance
Piotr J. Górski, Klavdiya Bochenina, Janusz A. Hołyst, Raissa M. D’Souza
http://arxiv.org/abs/2001.06573v1
• [physics.soc-ph]Time-invariant degree growth in preferential attachment network models
Jun Sun, Matúš Medo, Steffen Staab
http://arxiv.org/abs/2001.08132v1
• [physics.soc-ph]Who voted for a No Deal Brexit? A Composition Model of Great Britains 2019 European Parliamentary Elections
Stephen Clark
http://arxiv.org/abs/2001.06548v1
• [q-bio.NC]Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
http://arxiv.org/abs/2001.07092v1
• [stat.AP]Cohort state-transition models in R: From conceptualization to implementation
Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns, M. G. Myriam Hunink, Petros Pechlivanoglou, Hawre Jalal
http://arxiv.org/abs/2001.07824v1
• [stat.AP]Comparing the Performance of Statistical Adjustment Methods By Recovering the Experimental Benchmark from the REFLUX Trial
Luke Keele, Stephen O’Neill, Richard Grieve
http://arxiv.org/abs/2001.08170v1
• [stat.AP]Estimation of Latent Network Flows in Bike-Sharing Systems
Marc Schneble, Göran Kauermann
http://arxiv.org/abs/2001.08146v1
• [stat.AP]Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction
Xiangyu Zhao, Jiliang Tang
http://arxiv.org/abs/2001.06923v2
• [stat.AP]Missed opportunities in large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
Damjan Krstajic
http://arxiv.org/abs/2001.07773v1
• [stat.AP]Multiple imputation in functional regression with applications to EEG data in a depression study
Adam Ciarleglio, Eva Petkova, Ofer Harel
http://arxiv.org/abs/2001.08175v1
• [stat.AP]Nonparametric Causal Feature Selection for Spatiotemporal Risk Mapping of Malaria Incidence in Madagascar
Rohan Arambepola, Peter Gething, Ewan Cameron
http://arxiv.org/abs/2001.07745v1
• [stat.CO]Lasso for hierarchical polynomial models
Hugo Maruri-Aguilar, Simon Lunagomez
http://arxiv.org/abs/2001.07778v1
• [stat.ME]A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
Christopher J. Urban, Daniel J. Bauer
http://arxiv.org/abs/2001.07859v1
• [stat.ME]A numerically stable algorithm for integrating Bayesian models using Markov melding
Andrew A. Manderson, Robert J. B. Goudie
http://arxiv.org/abs/2001.08038v1
• [stat.ME]Knockoffs with Side Information
Zhimei Ren, Emmanuel Candès
http://arxiv.org/abs/2001.07835v1
• [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
http://arxiv.org/abs/2001.08089v1
• [stat.ML]Keyword-based Topic Modeling and Keyword Selection
Xingyu Wang, Lida Zhang, Diego Klabjan
http://arxiv.org/abs/2001.07866v1
• [stat.ML]On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
Nicolas Brosse, Carlos Riquelme, Alice Martin, Sylvain Gelly, Éric Moulines
http://arxiv.org/abs/2001.08049v1
• [stat.ML]Optimal estimation of sparse topic models
Xin Bing, Florentina Bunea, Marten Wegkamp
http://arxiv.org/abs/2001.07861v1
• [stat.ML]Stratified cross-validation for unbiased and privacy-preserving federated learning
R. Bey, R. Goussault, M. Benchoufi, R. Porcher
http://arxiv.org/abs/2001.08090v1
• [stat.ML]Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn
http://arxiv.org/abs/2001.07819v1
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