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