cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math-ph - 数学物理 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Estimating entropy rate from censored symbolic time series: a test for time-irreversibility
    • [cs.AI]AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce
    • [cs.AI]CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq
    • [cs.AI]CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation
    • [cs.AI]Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
    • [cs.AI]On the use of evidence theory in belief base revision
    • [cs.AI]Robust Finite-State Controllers for Uncertain POMDPs
    • [cs.CL]Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
    • [cs.CL]AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
    • [cs.CL]Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
    • [cs.CL]ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
    • [cs.CL]Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
    • [cs.CL]Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
    • [cs.CL]Grounded Compositional Outputs for Adaptive Language Modeling
    • [cs.CL]Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
    • [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
    • [cs.CL]Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
    • [cs.CL]Multi-Pass Transformer for Machine Translation
    • [cs.CL]N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models
    • [cs.CL]Novel Keyword Extraction and Language Detection Approaches
    • [cs.CL]RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
    • [cs.CL]Task-Oriented Dialogue as Dataflow Synthesis
    • [cs.CL]The importance of fillers for text representations of speech transcripts
    • [cs.CR]BreachRadar: Automatic Detection of Points-of-Compromise
    • [cs.CR]Graph-Based Intrusion Detection System for Controller Area Networks
    • [cs.CR]Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools
    • [cs.CR]ThreatZoom: CVE2CWE using Hierarchical Neural Network
    • [cs.CV]3D Object Localization Using 2D Estimates for Computer Vision Applications
    • [cs.CV]Attribute Propagation Network for Graph Zero-shot Learning
    • [cs.CV]Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
    • [cs.CV]BWCFace: Open-set Face Recognition using Body-worn Camera
    • [cs.CV]Cloud Cover Nowcasting with Deep Learning
    • [cs.CV]Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks
    • [cs.CV]FTN: Foreground-Guided Texture-Focused Person Re-Identification
    • [cs.CV]Insights on Evaluation of Camera Re-localization Using Relative Pose Regression
    • [cs.CV]Local Context Attention for Salient Object Segmentation
    • [cs.CV]MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
    • [cs.CV]Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
    • [cs.CV]Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling
    • [cs.CV]Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification
    • [cs.CV]Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups
    • [cs.CV]Unifying data for fine-grained visual species classification
    • [cs.CY]Best Practices for Managing Data Annotation Projects
    • [cs.CY]Forecasting for Social Good
    • [cs.CY]Game theory to enhance stock management of personal protective equipment (PPE) supply during the COVID-19 outbreak
    • [cs.CY]Understanding the Use of Fauxtography on Social Media
    • [cs.DC]Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice
    • [cs.DC]SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
    • [cs.DS]Dynamic Similarity Search on Integer Sketches
    • [cs.HC]Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality
    • [cs.IR]ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation
    • [cs.IR]Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques
    • [cs.IR]Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning
    • [cs.IT]An Embedded Index Code Construction Using Sub-packetization
    • [cs.IT]Exponent of Cyclic Codes over $\mathbb{F}_q$
    • [cs.IT]Joint Constellation Design for Noncoherent MIMO Multiple-Access Channels
    • [cs.IT]Multichannel Conflict-Avoiding Codes of Weights Three and Four
    • [cs.IT]The Optimal DoF for the Noncoherent MIMO Channel with Generic Block Fading
    • [cs.LG]A Gradient Flow Framework For Analyzing Network Pruning
    • [cs.LG]A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
    • [cs.LG]A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
    • [cs.LG]A Unifying Review of Deep and Shallow Anomaly Detection
    • [cs.LG]A Variational Auto-Encoder for Reservoir Monitoring
    • [cs.LG]Adversarial robustness via stochastic regularization of neural activation sensitivity
    • [cs.LG]Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
    • [cs.LG]Clustering Based on Graph of Density Topology
    • [cs.LG]Dataset Optimization Strategies for MalwareTraffic Detection
    • [cs.LG]Deep Neural Networks with Short Circuits for Improved Gradient Learning
    • [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
    • [cs.LG]Detection of Iterative Adversarial Attacks via Counter Attack
    • [cs.LG]EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data
    • [cs.LG]EPNE: Evolutionary Pattern Preserving Network Embedding
    • [cs.LG]EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement
    • [cs.LG]Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
    • [cs.LG]Higher-Order Spectral Clustering for Geometric Graphs
    • [cs.LG]How Many Factors Influence Minima in SGD?
    • [cs.LG]How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
    • [cs.LG]Identifying noisy labels with a transductive semi-supervised leave-one-out filter
    • [cs.LG]Improving Query Efficiency of Black-box Adversarial Attack
    • [cs.LG]Interpreting and Boosting Dropout from a Game-Theoretic View
    • [cs.LG]Learning Graph Normalization for Graph Neural Networks
    • [cs.LG]Legally grounded fairness objectives
    • [cs.LG]Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs
    • [cs.LG]Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
    • [cs.LG]Rank-Based Multi-task Learning for Fair Regression
    • [cs.LG]Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
    • [cs.LG]Secure Data Sharing With Flow Model
    • [cs.LG]Semi-supervised sequence classification through change point detection
    • [cs.LG]Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
    • [cs.LG]Structure Aware Negative Sampling in Knowledge Graphs
    • [cs.LG]Theoretical Analysis of the Advantage of Deepening Neural Networks
    • [cs.LG]Unfairness Discovery and Prevention For Few-Shot Regression
    • [cs.LG]Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
    • [cs.MA]Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments
    • [cs.NE]Evolution, Symbiosis, and Autopoiesis in the Game of Life
    • [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
    • [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
    • [cs.RO]Evaluation of an indoor localization system for a mobile robot
    • [cs.RO]Learning Equality Constraints for Motion Planning on Manifolds
    • [cs.RO]Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics
    • [cs.RO]Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
    • [cs.RO]TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment
    • [cs.SE]Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
    • [cs.SI]An Online and Nonuniform Timeslicing Method for Network Visualisation
    • [cs.SI]Anatomy of a Rumour: Social media and the suicide of Sushant Singh Rajput
    • [cs.SI]Graph Sparsification with Generative Adversarial Network
    • [cs.SI]Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit
    • [cs.SI]Uncovering the fragility of large-scale engineering project networks
    • [eess.AS]Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
    • [eess.AS]FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
    • [eess.IV]Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
    • [eess.IV]ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
    • [eess.IV]Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
    • [eess.IV]Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation
    • [eess.IV]Residual Feature Distillation Network for Lightweight Image Super-Resolution
    • [eess.IV]Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
    • [eess.SP]Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio
    • [eess.SP]Machine learning for UAV-Based networks
    • [eess.SY]Neural Identification for Control
    • [eess.SY]Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints
    • [math-ph]Message-Passing Algorithms and Homology
    • [math.NA]Discovery of Governing Equations with Recursive Deep Neural Networks
    • [math.OC]A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
    • [math.OC]Parameters for the best convergence of an optimization algorithm On-The-Fly
    • [math.ST]An elementary approach for minimax estimation of Bernoulli proportion in the restricted parameter space
    • [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
    • [math.ST]Reciprocal Maximum Likelihood Degrees of Brownian Motion Tree Models
    • [math.ST]Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error
    • [physics.comp-ph]A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems
    • [physics.soc-ph]Sketch-based community detection in evolving networks
    • [stat.AP]Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
    • [stat.AP]Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
    • [stat.ME]A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity
    • [stat.ME]A new multivariate meta-analysis model for many variates and few studies
    • [stat.ME]Distributed Community Detection for Large Scale Networks Using Stochastic Block Model
    • [stat.ME]Generalized Score Matching for General Domains
    • [stat.ME]High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors
    • [stat.ME]MatchThem:: Matching and Weighting after Multiple Imputation
    • [stat.ME]Optimal Sampling Regimes for Estimating Population Dynamics
    • [stat.ME]Parsimonious Feature Extraction Methods: Extending Robust Probabilistic Projections with Generalized Skew-t
    • [stat.ME]Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
    • [stat.ML]Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning

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    • [cond-mat.stat-mech]Estimating entropy rate from censored symbolic time series: a test for time-irreversibility
    Raul Salgado-Garcia, Cesar Maldonado
    http://arxiv.org/abs/2009.11351v1

    • [cs.AI]AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce
    Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen
    http://arxiv.org/abs/2009.11684v1

    • [cs.AI]CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq
    Koundinya Vajjha, Avraham Shinnar, Vasily Pestun, Barry Trager, Nathan Fulton
    http://arxiv.org/abs/2009.11403v1

    • [cs.AI]CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation
    Xinping Liu, Zehong Cao, Son Tran
    http://arxiv.org/abs/2009.11485v1

    • [cs.AI]Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
    Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
    http://arxiv.org/abs/2009.11564v1

    • [cs.AI]On the use of evidence theory in belief base revision
    Raïda Ktari, Mohamed Ayman Boujelben
    http://arxiv.org/abs/2009.11640v1

    • [cs.AI]Robust Finite-State Controllers for Uncertain POMDPs
    Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu
    http://arxiv.org/abs/2009.11459v1

    • [cs.CL]Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
    Boon Peng Yap, Andrew Koh Jin Jie, Eng Siong Chng
    http://arxiv.org/abs/2009.11795v1

    • [cs.CL]AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
    Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv
    http://arxiv.org/abs/2009.11473v1

    • [cs.CL]Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
    Wei Zhao, Mingyue Shang, Yang Liu, Liang Wang, Jingming Liu
    http://arxiv.org/abs/2009.11506v1

    • [cs.CL]ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
    Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, Mikhail Burtsev
    http://arxiv.org/abs/2009.11352v1

    • [cs.CL]Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
    Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing
    http://arxiv.org/abs/2009.11538v1

    • [cs.CL]Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
    Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang
    http://arxiv.org/abs/2009.11753v1

    • [cs.CL]Grounded Compositional Outputs for Adaptive Language Modeling
    Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith
    http://arxiv.org/abs/2009.11523v1

    • [cs.CL]Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
    Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora, Mitesh M. Khapra
    http://arxiv.org/abs/2009.11321v1

    • [cs.CL]Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
    Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rose
    http://arxiv.org/abs/2009.10815v2

    • [cs.CL]Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
    Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang
    http://arxiv.org/abs/2009.11692v1

    • [cs.CL]Multi-Pass Transformer for Machine Translation
    Peng Gao, Chiori Hori, Shijie Geng, Takaaki Hori, Jonathan Le Roux
    http://arxiv.org/abs/2009.11382v1

    • [cs.CL]N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models
    Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu
    http://arxiv.org/abs/2009.11616v1

    • [cs.CL]Novel Keyword Extraction and Language Detection Approaches
    Malgorzata Pikies, Andronicus Riyono, Junade Ali
    http://arxiv.org/abs/2009.11832v1

    • [cs.CL]RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
    Sam Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith
    http://arxiv.org/abs/2009.11462v1

    • [cs.CL]Task-Oriented Dialogue as Dataflow Synthesis
    Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
    http://arxiv.org/abs/2009.11423v1

    • [cs.CL]The importance of fillers for text representations of speech transcripts
    Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel
    http://arxiv.org/abs/2009.11340v1

    • [cs.CR]BreachRadar: Automatic Detection of Points-of-Compromise
    Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luis Silva, Pedro Bizarro
    http://arxiv.org/abs/2009.11751v1

    • [cs.CR]Graph-Based Intrusion Detection System for Controller Area Networks
    Riadul Islam, Rafi Ud Daula Refat, Sai Manikanta Yerram, Hafiz Malik
    http://arxiv.org/abs/2009.11440v1

    • [cs.CR]Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools
    Hetong Jiang, Taejun Choi, Ryan K. L. Ko
    http://arxiv.org/abs/2009.11484v1

    • [cs.CR]ThreatZoom: CVE2CWE using Hierarchical Neural Network
    Ehsan Aghaei, Waseem Shadid, Ehab Al-Shaer
    http://arxiv.org/abs/2009.11501v1

    • [cs.CV]3D Object Localization Using 2D Estimates for Computer Vision Applications
    Taha Hasan Masood Siddique, Muhammad Usman
    http://arxiv.org/abs/2009.11446v1

    • [cs.CV]Attribute Propagation Network for Graph Zero-shot Learning
    Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
    http://arxiv.org/abs/2009.11816v1

    • [cs.CV]Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
    Xiaokang Liu, Haijun Song
    http://arxiv.org/abs/2009.11429v1

    • [cs.CV]BWCFace: Open-set Face Recognition using Body-worn Camera
    Ali Almadan, Anoop Krishnan, Ajita Rattani
    http://arxiv.org/abs/2009.11458v1

    • [cs.CV]Cloud Cover Nowcasting with Deep Learning
    Léa Berthomier, Bruno Pradel, Lior Perez
    http://arxiv.org/abs/2009.11577v1

    • [cs.CV]Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks
    Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios, Minnie Teng, Raymond Ng
    http://arxiv.org/abs/2009.11362v1

    • [cs.CV]FTN: Foreground-Guided Texture-Focused Person Re-Identification
    Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao
    http://arxiv.org/abs/2009.11425v1

    • [cs.CV]Insights on Evaluation of Camera Re-localization Using Relative Pose Regression
    Amir Shalev, Omer Achrack, Brian Fulkerson, Ben-Zion Bobrovsky
    http://arxiv.org/abs/2009.11342v1

    • [cs.CV]Local Context Attention for Salient Object Segmentation
    Jing Tan, Pengfei Xiong, Yuwen He, Kuntao Xiao, Zhengyi Lv
    http://arxiv.org/abs/2009.11562v1

    • [cs.CV]MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
    Xin Lu, Quanquan Li, Buyu Li, Junjie Yan
    http://arxiv.org/abs/2009.11528v1

    • [cs.CV]Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
    Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin Solomon
    http://arxiv.org/abs/2009.11859v1

    • [cs.CV]Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Profiling
    Mustafa Saglam, Islem Rekik
    http://arxiv.org/abs/2009.11534v1

    • [cs.CV]Multi-View Brain HyperConnectome AutoEncoder For Brain State Classification
    Alin Banka, Inis Buzi, Islem Rekik
    http://arxiv.org/abs/2009.11553v1

    • [cs.CV]Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups
    Anoop Krishnan, Ali Almadan, Ajita Rattani
    http://arxiv.org/abs/2009.11491v1

    • [cs.CV]Unifying data for fine-grained visual species classification
    Sayali Kulkarni, Tomer Gadot, Chen Luo, Tanya Birch, Eric Fegraus
    http://arxiv.org/abs/2009.11433v1

    • [cs.CY]Best Practices for Managing Data Annotation Projects
    Tina Tseng, Amanda Stent, Domenic Maida
    http://arxiv.org/abs/2009.11654v1

    • [cs.CY]Forecasting for Social Good
    Bahman Rostami-Tabar, Mohammad M Ali, Tao Hong, Rob J Hyndman, Michael D Porter, Aris Syntetos
    http://arxiv.org/abs/2009.11669v1

    • [cs.CY]Game theory to enhance stock management of personal protective equipment (PPE) supply during the COVID-19 outbreak
    Khaled Abedrabboh, Matthias Pilz, Zaid Al-Fagih, Othman S. Al-Fagih, Jean-Christophe Nebel, Luluwah Al-Fagih
    http://arxiv.org/abs/2009.11838v1

    • [cs.CY]Understanding the Use of Fauxtography on Social Media
    Yuping Wang, Fatemeh Tamahsbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini
    http://arxiv.org/abs/2009.11792v1

    • [cs.DC]Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice
    Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni, Warren Schudy
    http://arxiv.org/abs/2009.11552v1

    • [cs.DC]SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
    Langshi Chen, Jiayu Li, Ariful Azad, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
    http://arxiv.org/abs/2009.11665v1

    • [cs.DS]Dynamic Similarity Search on Integer Sketches
    Shunsuke Kanda, Yasuo Tabei
    http://arxiv.org/abs/2009.11559v1

    • [cs.HC]Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality
    Benedikt Hosp, Florian Schultz, Enkelejda Kasneci, Oliver Höner
    http://arxiv.org/abs/2009.11676v1

    • [cs.IR]ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation
    Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog
    http://arxiv.org/abs/2009.11576v1

    • [cs.IR]Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques
    Niladri Chatterjee, Neha Kaushik
    http://arxiv.org/abs/2009.11796v1

    • [cs.IR]Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning
    Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper
    http://arxiv.org/abs/2009.11771v1

    • [cs.IT]An Embedded Index Code Construction Using Sub-packetization
    Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan
    http://arxiv.org/abs/2009.11329v1

    • [cs.IT]Exponent of Cyclic Codes over $\mathbb{F}_q$
    N. Annamalai, C. Durairajan
    http://arxiv.org/abs/2009.11607v1

    • [cs.IT]Joint Constellation Design for Noncoherent MIMO Multiple-Access Channels
    Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud, Alexis Decurninge
    http://arxiv.org/abs/2009.11548v1

    • [cs.IT]Multichannel Conflict-Avoiding Codes of Weights Three and Four
    Yuan-Hsun Lo, Kenneth W. Shum, Wing Shing Wong, Yijin Zhang
    http://arxiv.org/abs/2009.11754v1

    • [cs.IT]The Optimal DoF for the Noncoherent MIMO Channel with Generic Block Fading
    Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud
    http://arxiv.org/abs/2009.11556v1

    • [cs.LG]A Gradient Flow Framework For Analyzing Network Pruning
    Ekdeep Singh Lubana, Robert P. Dick
    http://arxiv.org/abs/2009.11839v1

    • [cs.LG]A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
    Alexander Gepperth, Benedikt Pfülb
    http://arxiv.org/abs/2009.11710v1

    • [cs.LG]A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
    Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo
    http://arxiv.org/abs/2009.11348v1

    • [cs.LG]A Unifying Review of Deep and Shallow Anomaly Detection
    Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
    http://arxiv.org/abs/2009.11732v1

    • [cs.LG]A Variational Auto-Encoder for Reservoir Monitoring
    Kristian Gundersen, Seyyed A. Hosseini, Anna Oleynik, Guttorm Alendal
    http://arxiv.org/abs/2009.11693v1

    • [cs.LG]Adversarial robustness via stochastic regularization of neural activation sensitivity
    Gil Fidel, Ron Bitton, Ziv Katzir, Asaf Shabtai
    http://arxiv.org/abs/2009.11349v1

    • [cs.LG]Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
    Jihed Khiari, Cristina Olaverri-Monreal
    http://arxiv.org/abs/2009.11598v1

    • [cs.LG]Clustering Based on Graph of Density Topology
    Zhangyang Gao, Haitao Lin, Stan. Z Li
    http://arxiv.org/abs/2009.11612v1

    • [cs.LG]Dataset Optimization Strategies for MalwareTraffic Detection
    Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
    http://arxiv.org/abs/2009.11347v1

    • [cs.LG]Deep Neural Networks with Short Circuits for Improved Gradient Learning
    Ming Yan, Xueli Xiao, Joey Tianyi Zhou, Yi Pan
    http://arxiv.org/abs/2009.11719v1

    • [cs.LG]Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
    Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
    http://arxiv.org/abs/2009.11239v2

    • [cs.LG]Detection of Iterative Adversarial Attacks via Counter Attack
    Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk
    http://arxiv.org/abs/2009.11397v1

    • [cs.LG]EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data
    Thu Nguyen, Duy H. M. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
    http://arxiv.org/abs/2009.11360v1

    • [cs.LG]EPNE: Evolutionary Pattern Preserving Network Embedding
    Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma
    http://arxiv.org/abs/2009.11510v1

    • [cs.LG]EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement
    Farzana Beente Yusuf, Camilo Valdes, Vitalii Stebliankin, Guiseppe Vietri, Giri Narasimhan
    http://arxiv.org/abs/2009.11330v1

    • [cs.LG]Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
    Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
    http://arxiv.org/abs/2009.11416v1

    • [cs.LG]Higher-Order Spectral Clustering for Geometric Graphs
    Konstantin Avrachenkov, Andrei Bobu, Maximilien Dreveton
    http://arxiv.org/abs/2009.11353v1

    • [cs.LG]How Many Factors Influence Minima in SGD?
    Victor Luo, Yazhen Wang
    http://arxiv.org/abs/2009.11858v1

    • [cs.LG]How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
    Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
    http://arxiv.org/abs/2009.11848v1

    • [cs.LG]Identifying noisy labels with a transductive semi-supervised leave-one-out filter
    Bruno Klaus de Aquino Afonso, Lilian Berton
    http://arxiv.org/abs/2009.11811v1

    • [cs.LG]Improving Query Efficiency of Black-box Adversarial Attack
    Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo
    http://arxiv.org/abs/2009.11508v1

    • [cs.LG]Interpreting and Boosting Dropout from a Game-Theoretic View
    Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
    http://arxiv.org/abs/2009.11729v1

    • [cs.LG]Learning Graph Normalization for Graph Neural Networks
    Yihao Chen, Xin Tang, Xianbiao Qi, Chun-Guang Li, Rong Xiao
    http://arxiv.org/abs/2009.11746v1

    • [cs.LG]Legally grounded fairness objectives
    Dylan Holden-Sim, Gavin Leech, Laurence Aitchison
    http://arxiv.org/abs/2009.11677v1

    • [cs.LG]Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs
    Hung Le, Svetha Venkatesh
    http://arxiv.org/abs/2009.11443v1

    • [cs.LG]Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
    Bin Zhang, Cen Chen, Li Wang
    http://arxiv.org/abs/2009.11680v1

    • [cs.LG]Rank-Based Multi-task Learning for Fair Regression
    Chen Zhao, Feng Chen
    http://arxiv.org/abs/2009.11405v1

    • [cs.LG]Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
    Hongwei Zhang, Tijin Yan, Zenjun Xie, Yuanqing Xia, Yuan Zhang
    http://arxiv.org/abs/2009.11469v1

    • [cs.LG]Secure Data Sharing With Flow Model
    Chenwei Wu, Chenzhuang Du, Yang Yuan
    http://arxiv.org/abs/2009.11762v1

    • [cs.LG]Semi-supervised sequence classification through change point detection
    Nauman Ahad, Mark A. Davenport
    http://arxiv.org/abs/2009.11829v1

    • [cs.LG]Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
    Alexander Rodriguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
    http://arxiv.org/abs/2009.11407v1

    • [cs.LG]Structure Aware Negative Sampling in Knowledge Graphs
    Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
    http://arxiv.org/abs/2009.11355v1

    • [cs.LG]Theoretical Analysis of the Advantage of Deepening Neural Networks
    Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima
    http://arxiv.org/abs/2009.11479v1

    • [cs.LG]Unfairness Discovery and Prevention For Few-Shot Regression
    Chen Zhao, Feng Chen
    http://arxiv.org/abs/2009.11406v1

    • [cs.LG]Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
    Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
    http://arxiv.org/abs/2009.11763v1

    • [cs.MA]Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments
    Ogbo Ndidi Bianca, Aiman Elgarig, The Anh Han
    http://arxiv.org/abs/2009.11727v1

    • [cs.NE]Evolution, Symbiosis, and Autopoiesis in the Game of Life
    Peter D. Turney
    http://arxiv.org/abs/2009.11368v1

    • [cs.RO]A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions
    Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
    http://arxiv.org/abs/2009.11221v2

    • [cs.RO]Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
    Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou
    http://arxiv.org/abs/2009.10827v2

    • [cs.RO]Evaluation of an indoor localization system for a mobile robot
    Victor J. Exposito Jimenez, Christian Schwarzl, Helmut Martin
    http://arxiv.org/abs/2009.11726v1

    • [cs.RO]Learning Equality Constraints for Motion Planning on Manifolds
    Giovanni Sutanto, Isabel M. Rayas Fernández, Peter Englert, Ragesh K. Ramachandran, Gaurav S. Sukhatme
    http://arxiv.org/abs/2009.11852v1

    • [cs.RO]Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics
    Yanshi Luo, Abdeslam Boularias, Mridul Aanjaneya
    http://arxiv.org/abs/2009.11465v1

    • [cs.RO]Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
    Sanghyun Kim, Jongmin Park, Jae-Kwan Yun, Jiwon Seo
    http://arxiv.org/abs/2009.11799v1

    • [cs.RO]TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment
    Runxin He, Jinyun Zhou, Shu Jiang, Yu Wang, Jiaming Tao, Shiyu Song, Jiangtao Hu, Jinghao Miao, Qi Luo
    http://arxiv.org/abs/2009.11345v1

    • [cs.SE]Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
    Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea, Andrea Margheri, Federico Lombardi, Leonardo Aniello
    http://arxiv.org/abs/2009.11722v1

    • [cs.SI]An Online and Nonuniform Timeslicing Method for Network Visualisation
    Jean R. Ponciano, Claudio D. G. Linhares, Elaine R. Faria, Bruno A. N. Travencolo
    http://arxiv.org/abs/2009.11422v1

    • [cs.SI]Anatomy of a Rumour: Social media and the suicide of Sushant Singh Rajput
    Syeda Zainab Akbar, Ankur Sharma, Himani Negi, Anmol Panda, Joyojeet Pal
    http://arxiv.org/abs/2009.11744v1

    • [cs.SI]Graph Sparsification with Generative Adversarial Network
    Hang-Yang Wu, Yi-Ling Chen
    http://arxiv.org/abs/2009.11736v1

    • [cs.SI]Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit
    Eshwar Chandrasekharan, Shagun Jhaver, Amy Bruckman, Eric Gilbert
    http://arxiv.org/abs/2009.11483v1

    • [cs.SI]Uncovering the fragility of large-scale engineering project networks
    Marc Santolini, Christos Ellinas, Christos Nicolaides
    http://arxiv.org/abs/2009.11752v1

    • [eess.AS]Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
    Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi, Noboru Harada, Kunio Kashino
    http://arxiv.org/abs/2009.11436v1

    • [eess.AS]FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
    Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad
    http://arxiv.org/abs/2009.11394v1

    • [eess.IV]Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
    Ahmed Nebli, Islem Rekik
    http://arxiv.org/abs/2009.11524v1

    • [eess.IV]ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
    Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir
    http://arxiv.org/abs/2009.11850v1

    • [eess.IV]Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
    Emmanuel Iarussi, Felix Thomsen, Claudio Delrieux
    http://arxiv.org/abs/2009.11327v1

    • [eess.IV]Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation
    John Lagergren, Erica Rutter, Kevin Flores
    http://arxiv.org/abs/2009.11717v1

    • [eess.IV]Residual Feature Distillation Network for Lightweight Image Super-Resolution
    Jie Liu, Jie Tang, Gangshan Wu
    http://arxiv.org/abs/2009.11551v1

    • [eess.IV]Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
    Shah B. Shrey, Lukman Hakim, Muthusubash Kavitha, Hae Won Kim, Takio Kurita
    http://arxiv.org/abs/2009.11587v1

    • [eess.SP]Low Complexity Neural Network Structures for Self-Interference Cancellation in Full-Duplex Radio
    Mohamed Elsayed, Ahmad A. Aziz El-Banna, Octavia A. Dobre, Wanyi Shiu, Peiwei Wang
    http://arxiv.org/abs/2009.11361v1

    • [eess.SP]Machine learning for UAV-Based networks
    Mohamed-Amine Lahmeri, Mustafa A. Kishk, Mohamed-Slim Alouini
    http://arxiv.org/abs/2009.11522v1

    • [eess.SY]Neural Identification for Control
    Priyabrata Saha, Saibal Mukhopadhyay
    http://arxiv.org/abs/2009.11782v1

    • [eess.SY]Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints
    Wenliang Liu, Noushin Mehdipour, Calin Belta
    http://arxiv.org/abs/2009.11468v1

    • [math-ph]Message-Passing Algorithms and Homology
    Olivier Peltre
    http://arxiv.org/abs/2009.11631v1

    • [math.NA]Discovery of Governing Equations with Recursive Deep Neural Networks
    Jia Zhao, Jarrod Mau
    http://arxiv.org/abs/2009.11500v1

    • [math.OC]A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
    Guodong Zhang, Xuchao Bao, Laurent Lessard, Roger Grosse
    http://arxiv.org/abs/2009.11359v1

    • [math.OC]Parameters for the best convergence of an optimization algorithm On-The-Fly
    Valdimir Pieter
    http://arxiv.org/abs/2009.11390v1

    • [math.ST]An elementary approach for minimax estimation of Bernoulli proportion in the restricted parameter space
    Heejune Sheen, Yajun Mei
    http://arxiv.org/abs/2009.11413v1

    • [math.ST]Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices
    Zhixiang Zhang, Shurong Zheng, Guangming Pan, Pingshou Zhong
    http://arxiv.org/abs/2009.11010v2

    • [math.ST]Reciprocal Maximum Likelihood Degrees of Brownian Motion Tree Models
    Tobias Boege, Jane Ivy Coons, Christopher Eur, Aida Maraj, Frank Röttger
    http://arxiv.org/abs/2009.11849v1

    • [math.ST]Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error
    Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin
    http://arxiv.org/abs/2009.11646v1

    • [physics.comp-ph]A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems
    Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan, John Tencer
    http://arxiv.org/abs/2009.11742v1

    • [physics.soc-ph]Sketch-based community detection in evolving networks
    Andre Beckus, George K. Atia
    http://arxiv.org/abs/2009.11835v1

    • [stat.AP]Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
    Yanyi Song, Xiang Zhou, Jian Kang, Max T. Aung, Min Zhang, Wei Zhao, Belinda L. Needham, Sharon L. R. Kardia, Yongmei Liu, John D. Meeker, Jennifer A. Smith, Bhramar Mukherjee
    http://arxiv.org/abs/2009.11409v1

    • [stat.AP]Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
    Jianfeng Wang, Markus Granlöf, Jun Yu
    http://arxiv.org/abs/2009.10426v2

    • [stat.ME]A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity
    Rui Miao, Xiaoke Zhang, Raymond K. W. Wong
    http://arxiv.org/abs/2009.11452v1

    • [stat.ME]A new multivariate meta-analysis model for many variates and few studies
    C. J. Rose, U. Olsen, M. F. Lindberg, E. M. -L. Denison, A. Aamodt, A. Lerdal
    http://arxiv.org/abs/2009.11808v1

    • [stat.ME]Distributed Community Detection for Large Scale Networks Using Stochastic Block Model
    Shihao Wu, Zhe Li, Xuening Zhu
    http://arxiv.org/abs/2009.11747v1

    • [stat.ME]Generalized Score Matching for General Domains
    Shiqing Yu, Mathias Drton, Ali Shojaie
    http://arxiv.org/abs/2009.11428v1

    • [stat.ME]High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors
    Sharmistha Guha, Abel Rodriguez
    http://arxiv.org/abs/2009.11401v1

    • [stat.ME]MatchThem:: Matching and Weighting after Multiple Imputation
    Farhad Pishgar, Noah Greifer, Clémence Leyrat, Elizabeth Stuart
    http://arxiv.org/abs/2009.11772v1

    • [stat.ME]Optimal Sampling Regimes for Estimating Population Dynamics
    Rebecca E. Bergee, Edward L. Boone, Ryad A. Ghanam, Ben Stewart-Koster
    http://arxiv.org/abs/2009.11797v1

    • [stat.ME]Parsimonious Feature Extraction Methods: Extending Robust Probabilistic Projections with Generalized Skew-t
    Dorota Toczydlowska, Gareth W. Peters, Pavel V. Shevchenko
    http://arxiv.org/abs/2009.11499v1

    • [stat.ME]Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
    Ting Ye, Jun Shao, Qingyuan Zhao
    http://arxiv.org/abs/2009.11828v1

    • [stat.ML]Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
    Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li
    http://arxiv.org/abs/2009.11713v1