astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CG - 计算几何学 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.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 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.med-ph - 医学物理学 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

    • [astro-ph.IM]Predicting galaxy spectra from images with hybrid convolutional neural networks
    • [cond-mat.stat-mech]Message passing for probabilistic models on networks with loops
    • [cs.AI]A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
    • [cs.AI]Deep Reinforcement Learning with Stage Incentive Mechanism for Robotic Trajectory Planning
    • [cs.AI]Design and Implementation of TAG: A Tabletop Games Framework
    • [cs.AI]Do We Really Sample Right In Model-Based Diagnosis?
    • [cs.AI]Sound, Complete, Linear-Space, Best-First Diagnosis Search
    • [cs.AI]Towards a Modular Ontology for Space Weather Research
    • [cs.AI]Weighed Model Counting in FO$^2$ with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
    • [cs.CG]On Two-Handed Planar Assembly Partitioning
    • [cs.CL]A Comparative Study of Feature Types for Age-Based Text Classifi
    1000
    cation
    • [cs.CL]A little goes a long way: Improving toxic language classification despite data scarcity
    • [cs.CL]An Unsupervised Sentence Embedding Method byMutual Information Maximization
    • [cs.CL]Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
    • [cs.CL]AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
    • [cs.CL]Controllable Text Generation with Focused Variation
    • [cs.CL]Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries
    • [cs.CL]Empirical Study of Text Augmentation on Social Media Text in Vietnamese
    • [cs.CL]Focus-Constrained Attention Mechanism for CVAE-based Response Generation
    • [cs.CL]MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
    • [cs.CL]No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
    • [cs.CL]PerKey: A Persian News Corpus for Keyphrase Extraction and Generation
    • [cs.CL]Persian Keyphrase Generation Using Sequence-to-Sequence Models
    • [cs.CL]Revealing the Myth of Higher-Order Inference in Coreference Resolution
    • [cs.CL]Towards Debiasing NLU Models from Unknown Biases
    • [cs.CL]Weird AI Yankovic: Generating Parody Lyrics
    • [cs.CR]A Survey on Model Watermarking Neural Networks
    • [cs.CV]A Computer Vision Approach to Combat Lyme Disease
    • [cs.CV]AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
    • [cs.CV]An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
    • [cs.CV]Are scene graphs good enough to improve Image Captioning?
    • [cs.CV]CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
    • [cs.CV]CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
    • [cs.CV]Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D Trees
    • [cs.CV]Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
    • [cs.CV]Deep Multi-Scale Feature Learning for Defocus Blur Estimation
    • [cs.CV]From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
    • [cs.CV]Going to Extremes: Weakly Supervised Medical Image Segmentation
    • [cs.CV]Image-Based Sorghum Head Counting When You Only Look Once
    • [cs.CV]Improved Dimensionality Reduction of various Datasets using Novel Multiplicative Factoring Principal Component Analysis (MPCA)
    • [cs.CV]In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
    • [cs.CV]Locally orderless tensor networks for classifying two- and three-dimensional medical images
    • [cs.CV]SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition
    • [cs.CV]Tarsier: Evolving Noise Injection in Super-Resolution GANs
    • [cs.CV]Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
    • [cs.CV]Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
    • [cs.CV]daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery
    • [cs.CY]An Incentive-Based Mechanism for Volunteer Computing using Blockchain
    • [cs.CY]Game theory to enhance stock management of personal protective equipment (PPE) during the COVID-19 outbreak
    • [cs.CY]Understanding the Use of Fauxtography on Social Media
    • [cs.DC]Randomized Progressive Hedging methods for Multi-stage Stochastic Programming
    • [cs.DL]Funding CRISPR: Understanding the role of government and private sector actors in transformative innovation systems
    • [cs.HC]Toward Adaptive Trust Calibration for Level 2 Driving Automation
    • [cs.IR]A review of metadata fields associated with podcast RSS feeds
    • [cs.IR]ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
    • [cs.IR]Parsisanj: a semi-automatic component-based approach towards search engine evaluation
    • [cs.IR]Tuning Word2vec for Large Scale Recommendation Systems
    • [cs.IT]Computation Bits Maximization in a Backscatter Assisted Wirelessly Powered MEC Network
    • [cs.IT]Construction on Griesmer Codes with Dimension Not Less than Five
    • [cs.IT]Low-Complexity High-Performance Cyclic Caching for Large MISO Systems
    • [cs.IT]Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
    • [cs.IT]Measuring Dependencies of Order Statistics: An Information Theoretic Perspective
    • [cs.LG]A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
    • [cs.LG]A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
    • [cs.LG]Continual Model-Based Reinforcement Learning with Hypernetworks
    • [cs.LG]DISPATCH: Design Space Exploration of Cyber-Physical Systems
    • [cs.LG]Deep Learning based Covert Attack Identification for Industrial Control Systems
    • [cs.LG]Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
    • [cs.LG]G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
    • [cs.LG]GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
    • [cs.LG]GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
    • [cs.LG]Online Learning With Adaptive Rebalancing in Nonstationary Environments
    • [cs.LG]Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula
    • [cs.LG]Resource-Constrained On-Device Learning by Dynamic Averaging
    • [cs.LG]Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
    • [cs.LG]Towards the Automation of a Chemical Sulphonation Process with Machine Learning
    • [cs.LO]Emergence of complex data from simple local rules in a network game
    • [cs.LO]The algebra of non-deterministic programs: demonic operators, orders and axioms
    • [cs.MA]Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World
    • [cs.MS]AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications
    • [cs.MS]Flexible Performant GEMM Kernels on GPU
    • [cs.NE]Deep Learning of Individual Aesthetics
    • [cs.RO]A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety
    • [cs.RO]Minimum-Violation Planning for Autonomous Systems: Theoretical and Practical Considerations
    • [cs.RO]SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
    • [cs.RO]Virtual Forward Dynamics Models for Cartesian Robot Control
    • [cs.RO]With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance
    • [cs.RO]robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
    • [cs.SI]Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem
    • [cs.SI]Community Detection by a Riemannian Projected Proximal Gradient Method
    • [cs.SI]Inside the x-rated world of “premium” social media accounts
    • [econ.GN]The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
    • [eess.AS]Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization
    • [eess.IV]DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels
    • [eess.IV]Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
    • [eess.SP]Intelligent Risk Alarm for Asthma Patients using Artificial Neural Networks
    • [math.NA]A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
    • [math.NA]Alternating minimization for a single step TV-Stokes model for image denoising
    • [math.NA]Iterative regularization algorithms for image denoising with the TV-Stokes model
    • [math.NA]Multidimensional TV-Stokes for image processing
    • [math.OC]Mirror Descent and the Information Ratio
    • [math.ST]ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise
    • [math.ST]Tracy-Widom law for the extreme eigenvalues of large signal-plus-noise matrices
    • [physics.comp-ph]A physics-informed operator regression framework for extracting data-driven continuum models
    • [physics.med-ph]Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES
    • [stat.AP]Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
    • [stat.AP]Similarity of multiple dose-response curves in interlaboratory studies in regulatory toxicology
    • [stat.CO]Multilevel Gibbs Sampling for Bayesian Regression
    • [stat.ME]A new multivariate meta-analysis model for many variates and few studies
    • [stat.ME]A novel estimand to adjust for rescue treatment in clinical trials
    • [stat.ME]Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
    • [stat.ME]Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
    • [stat.ME]Distributed Community Detection for Large Scale Networks Using Stochastic Block Model
    • [stat.ME]Doubly Robust Semiparametric Inference Using Regularized Calibrated Estimation with High-dimensional Data
    • [stat.ME]Latent Causal Socioeconomic Health Index
    • [stat.ME]Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds?
    • [stat.ME]Towards the interpretation of time-varying regularization parameters in streaming penalized regression models
    • [stat.ML]Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features
    • [stat.ML]Bayesian Topological Learning for Classifying the Structure of Biological Networks
    • [stat.ML]Stein Variational Gaussian Processes

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

    • [astro-ph.IM]Predicting galaxy spectra from images with hybrid convolutional neural networks
    John F. Wu, J. E. G. Peek
    http://arxiv.org/abs/2009.12318v1

    • [cond-mat.stat-mech]Message passing for probabilistic models on networks with loops
    Alec Kirkley, George T. Cantwell, M. E. J. Newman
    http://arxiv.org/abs/2009.12246v1

    • [cs.AI]A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
    M. Ugur Yavas, N. Kemal Ure, Tufan Kumbasar
    http://arxiv.org/abs/2009.11905v1

    • [cs.AI]Deep Reinforcement Learning with Stage Incentive Mechanism for Robotic Trajectory Planning
    Jin Yang, Gang Peng
    http://arxiv.org/abs/2009.12068v1

    • [cs.AI]Design and Implementation of TAG: A Tabletop Games Framework
    Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-Liebana
    http://arxiv.org/abs/2009.12065v1

    • [cs.AI]Do We Really Sample Right In Model-Based Diagnosis?
    Patrick Rodler, Fatima Elichanova
    http://arxiv.org/abs/2009.12178v1

    • [cs.AI]Sound, Complete, Linear-Space, Best-First Diagnosis Search
    Patrick Rodler
    http://arxiv.org/abs/2009.12190v1

    • [cs.AI]Towards a Modular Ontology for Space Weather Research
    Cogan Shimizu, Ryan McGranaghan, Aaron Eberhart, Adam C. Kellerman
    http://arxiv.org/abs/2009.12285v1

    • [cs.AI]Weighed Model Counting in FO$^2$ with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
    Sagar Malhotra, Luciano Serafini
    http://arxiv.org/abs/2009.12237v1

    • [cs.CG]On Two-Handed Planar Assembly Partitioning
    Pankaj K. Agarwal, Boris Aronov, Tzvika Geft, Dan Halperin
    http://arxiv.org/abs/2009.12369v1

    • [cs.CL]A Comparative Study of Feature Types for Age-Based Text Classifi
    1000
    cation
    Anna Glazkova, Yury Egorov, Maksim Glazkov
    http://arxiv.org/abs/2009.11898v1

    • [cs.CL]A little goes a long way: Improving toxic language classification despite data scarcity
    Mika Juuti, Tommi Gröndahl, Adrian Flanagan, N. Asokan
    http://arxiv.org/abs/2009.12344v1

    • [cs.CL]An Unsupervised Sentence Embedding Method byMutual Information Maximization
    Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
    http://arxiv.org/abs/2009.12061v1

    • [cs.CL]Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
    Shunsuke Kitada, Hitoshi Iyatomi
    http://arxiv.org/abs/2009.12064v1

    • [cs.CL]AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
    Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li
    http://arxiv.org/abs/2009.12030v1

    • [cs.CL]Controllable Text Generation with Focused Variation
    Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gokhan Tur, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
    http://arxiv.org/abs/2009.12046v1

    • [cs.CL]Developing FB Chatbot Based on Deep Learning Using RASA Framework for University Enquiries
    Yurio Windiatmoko, Ahmad Fathan Hidayatullah, Ridho Rahmadi
    http://arxiv.org/abs/2009.12341v1

    • [cs.CL]Empirical Study of Text Augmentation on Social Media Text in Vietnamese
    Son T. Luu, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2009.12319v1

    • [cs.CL]Focus-Constrained Attention Mechanism for CVAE-based Response Generation
    Zhi Cui, Yanran Li, Jiayi Zhang, Jianwei Cui, Chen Wei, Bin Wang
    http://arxiv.org/abs/2009.12102v1

    • [cs.CL]MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
    Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Pascale Fung
    http://arxiv.org/abs/2009.12005v1

    • [cs.CL]No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
    Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang
    http://arxiv.org/abs/2009.12056v1

    • [cs.CL]PerKey: A Persian News Corpus for Keyphrase Extraction and Generation
    Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti
    http://arxiv.org/abs/2009.12269v1

    • [cs.CL]Persian Keyphrase Generation Using Sequence-to-Sequence Models
    Ehsan Doostmohammadi, Mohammad Hadi Bokaei, Hossein Sameti
    http://arxiv.org/abs/2009.12271v1

    • [cs.CL]Revealing the Myth of Higher-Order Inference in Coreference Resolution
    Liyan Xu, Jinho D. Choi
    http://arxiv.org/abs/2009.12013v1

    • [cs.CL]Towards Debiasing NLU Models from Unknown Biases
    Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych
    http://arxiv.org/abs/2009.12303v1

    • [cs.CL]Weird AI Yankovic: Generating Parody Lyrics
    Mark Riedl
    http://arxiv.org/abs/2009.12240v1

    • [cs.CR]A Survey on Model Watermarking Neural Networks
    Franziska Boenisch
    http://arxiv.org/abs/2009.12153v1

    • [cs.CV]A Computer Vision Approach to Combat Lyme Disease
    Sina Akbarian, Tania Cawston, Laurent Moreno, Samir Patel, Vanessa Allen, Elham Dolatabadi
    http://arxiv.org/abs/2009.11931v1

    • [cs.CV]AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
    Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Haoyu Zhong, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir
    http://arxiv.org/abs/2009.12072v1

    • [cs.CV]An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
    Fares Fourati, Wided Souidene, Rabah Attia
    http://arxiv.org/abs/2009.11977v1

    • [cs.CV]Are scene graphs good enough to improve Image Captioning?
    Victor Milewski, Marie-Francine Moens, Iacer Calixto
    http://arxiv.org/abs/2009.12313v1

    • [cs.CV]CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
    Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes, Andreas Steimer, Ralf Mikut
    http://arxiv.org/abs/2009.12312v1

    • [cs.CV]CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
    Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla
    http://arxiv.org/abs/2009.11975v1

    • [cs.CV]Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D Trees
    Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Joan Glaunès
    http://arxiv.org/abs/2009.12252v1

    • [cs.CV]Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
    Jinyong Hou, Xuejie Ding, Stephen Cranefield, Jeremiah D. Deng
    http://arxiv.org/abs/2009.12028v1

    • [cs.CV]Deep Multi-Scale Feature Learning for Defocus Blur Estimation
    Ali Karaali, Naomi Harte, Claudio Rosito Jung
    http://arxiv.org/abs/2009.11939v1

    • [cs.CV]From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
    Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang
    http://arxiv.org/abs/2009.12232v1

    • [cs.CV]Going to Extremes: Weakly Supervised Medical Image Segmentation
    Holger R Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
    http://arxiv.org/abs/2009.11988v1

    • [cs.CV]Image-Based Sorghum Head Counting When You Only Look Once
    Lawrence Mosley, Hieu Pham, Yogesh Bansal, Eric hare
    http://arxiv.org/abs/2009.11929v1

    • [cs.CV]Improved Dimensionality Reduction of various Datasets using Novel Multiplicative Factoring Principal Component Analysis (MPCA)
    Chisom Ezinne Ogbuanya
    http://arxiv.org/abs/2009.12179v1

    • [cs.CV]In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
    Minsong Ki, Youngjung Uh, Wonyoung Lee, Hyeran Byun
    http://arxiv.org/abs/2009.12063v1

    • [cs.CV]Locally orderless tensor networks for classifying two- and three-dimensional medical images
    Raghavendra Selvan, Silas Ørting, Erik B Dam
    http://arxiv.org/abs/2009.12280v1

    • [cs.CV]SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition
    Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
    http://arxiv.org/abs/2009.12339v1

    • [cs.CV]Tarsier: Evolving Noise Injection in Super-Resolution GANs
    Baptiste Roziere, Nathanal Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
    http://arxiv.org/abs/2009.12177v1

    • [cs.CV]Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
    Xudong Wang, Stella X. Yu
    http://arxiv.org/abs/2009.12021v1

    • [cs.CV]Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
    Sara Mandelli, Nicolò Bonettini, Paolo Bestagini, Stefano Tubaro
    http://arxiv.org/abs/2009.12088v1

    • [cs.CV]daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery
    Yidan Qin, Seyedshams Feyzabadi, Max Allan, Joel W. Burdick, Mahdi Azizian
    http://arxiv.org/abs/2009.11937v1

    • [cs.CY]An Incentive-Based Mechanism for Volunteer Computing using Blockchain
    Ismaeel Al Ridhawi, Moayad Aloqaily, Yaser Jararweh
    http://arxiv.org/abs/2009.11901v1

    • [cs.CY]Game theory to enhance stock management of personal protective equipment (PPE) 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/2009.11838v2

    • [cs.CY]Understanding the Use of Fauxtography on Social Media
    Yuping Wang, Fatemeh Tahmasbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini
    http://arxiv.org/abs/2009.11792v2

    • [cs.DC]Randomized Progressive Hedging methods for Multi-stage Stochastic Programming
    Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
    http://arxiv.org/abs/2009.12186v1

    • [cs.DL]Funding CRISPR: Understanding the role of government and private sector actors in transformative innovation systems
    David Fajardo-Ortiz, Stephan Hornbostel, Maywa Montenegro-de-Wit, Annie Shattuck
    http://arxiv.org/abs/2009.11920v1

    • [cs.HC]Toward Adaptive Trust Calibration for Level 2 Driving Automation
    Kumar Akash, Neera Jain, Teruhisa Misu
    http://arxiv.org/abs/2009.11890v1

    • [cs.IR]A review of metadata fields associated with podcast RSS feeds
    Matthew Sharpe
    http://arxiv.org/abs/2009.12298v1

    • [cs.IR]ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
    Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan
    http://arxiv.org/abs/2009.12316v1

    • [cs.IR]Parsisanj: a semi-automatic component-based approach towards search engine evaluation
    Amin Heydari Alashti, Ahmad Asgharian Rezaei, Alireza Elahi, Sobhan Sayyaran, Mohammad Ghodsi
    http://arxiv.org/abs/2009.12097v1

    • [cs.IR]Tuning Word2vec for Large Scale Recommendation Systems
    Benjamin P. Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
    http://arxiv.org/abs/2009.12192v1

    • [cs.IT]Computation Bits Maximization in a Backscatter Assisted Wirelessly Powered MEC Network
    Liqin Shi, Yinghui Ye, Xiaoli Chu, Guangyue Lu
    http://arxiv.org/abs/2009.12087v1

    • [cs.IT]Construction on Griesmer Codes with Dimension Not Less than Five
    Wen Ma, Jinquan Luo
    http://arxiv.org/abs/2009.11998v1

    • [cs.IT]Low-Complexity High-Performance Cyclic Caching for Large MISO Systems
    MohammadJavad Salehi, Emanuele Parrinello, Seyed Pooya Shariatpanahi, Petros Elia, Antti Tölli
    http://arxiv.org/abs/2009.12231v1

    • [cs.IT]Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
    Chengwen Xing, Shuai Wang, Sheng Chen, Shaodan Ma, H. Vincent Poor, Lajos Hanzo
    http://arxiv.org/abs/2009.12215v1

    • [cs.IT]Measuring Dependencies of Order Statistics: An Information Theoretic Perspective
    Alex Dytso, Martina Cardone, Cynthia Rush
    http://arxiv.org/abs/2009.12337v1

    • [cs.LG]A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
    Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per-Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
    http://arxiv.org/abs/2009.12133v1

    • [cs.LG]A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
    Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji
    http://arxiv.org/abs/2009.12027v1

    • [cs.LG]Continual Model-Based Reinforcement Learning with Hypernetworks
    Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
    http://arxiv.org/abs/2009.11997v1

    • [cs.LG]DISPATCH: Design Space Exploration of Cyber-Physical Systems
    Prerit Terway, Kenza Hamidouche, Niraj K. Jha
    http://arxiv.org/abs/2009.10214v2

    • [cs.LG]Deep Learning based Covert Attack Identification for Industrial Control Systems
    Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
    http://arxiv.org/abs/2009.12360v1

    • [cs.LG]Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
    Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
    http://arxiv.org/abs/2009.12040v1

    • [cs.LG]G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
    Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
    http://arxiv.org/abs/2009.12007v1

    • [cs.LG]GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
    Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi
    http://arxiv.org/abs/2009.11921v1

    • [cs.LG]GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
    Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
    http://arxiv.org/abs/2009.12146v1

    • [cs.LG]Online Learning With Adaptive Rebalancing in Nonstationary Environments
    Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou
    http://arxiv.org/abs/2009.11942v1

    • [cs.LG]Online Missing Value Imputation and Correlation Change Detection for Mixed-type Data via Gaussian Copula
    Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell
    http://arxiv.org/abs/2009.12326v1

    • [cs.LG]Resource-Constrained On-Device Learning by Dynamic Averaging
    Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
    http://arxiv.org/abs/2009.12098v1

    • [cs.LG]Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network
    Gan Zhou, Zhi Li, Meng Fu, Yanjun Feng, Xingyao Wang, Chengwei Huang
    http://arxiv.org/abs/2009.12355v1

    • [cs.LG]Towards the Automation of a Chemical Sulphonation Process with Machine Learning
    Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per-Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
    http://arxiv.org/abs/2009.12125v1

    • [cs.LO]Emergence of complex data from simple local rules in a network game
    Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani
    http://arxiv.org/abs/2009.12210v1

    • [cs.LO]The algebra of non-deterministic programs: demonic operators, orders and axioms
    Robin Hirsch, Szabolcs Mikulás, Tim Stokes
    http://arxiv.org/abs/2009.12081v1

    • [cs.MA]Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World
    Qi Dai, Xunnong Xu, Wen Guo, Suzhou Huang, Dimitar Filev
    http://arxiv.org/abs/2009.12213v1

    • [cs.MS]AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications
    Weiqun Zhang, Andrew Myers, Kevin Gott, Ann Almgren, John Bell
    http://arxiv.org/abs/2009.12009v1

    • [cs.MS]Flexible Performant GEMM Kernels on GPU
    Thomas Faingnaert, Tim Besard, Bjorn De Sutter
    http://arxiv.org/abs/2009.12263v1

    • [cs.NE]Deep Learning of Individual Aesthetics
    Jon McCormack, Andy Lomas
    http://arxiv.org/abs/2009.12216v1

    • [cs.RO]A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety
    Linda Capito, Bowen Weng, Umit Ozguner, Keith Redmill
    http://arxiv.org/abs/2009.12222v1

    • [cs.RO]Minimum-Violation Planning for Autonomous Systems: Theoretical and Practical Considerations
    Tichakorn Wongpiromsarn, Konstantin Slutsky, Emilio Frazzoli, Ufuk Topcu
    http://arxiv.org/abs/2009.11954v1

    • [cs.RO]SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
    Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller
    http://arxiv.org/abs/2009.12276v1

    • [cs.RO]Virtual Forward Dynamics Models for Cartesian Robot Control
    Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann
    http://arxiv.org/abs/2009.11888v1

    • [cs.RO]With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance
    Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora
    http://arxiv.org/abs/2009.12106v1

    • [cs.RO]robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
    Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín
    http://arxiv.org/abs/2009.12293v1

    • [cs.SI]Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem
    Melissa Marchand, Kyle A. Gallivan, Wen Huang, Paul Van Dooren
    http://arxiv.org/abs/2009.11991v1

    • [cs.SI]Community Detection by a Riemannian Projected Proximal Gradient Method
    Meng Wei, Wen Huang, Kyle A. Gallivan, Paul Van Dooren
    http://arxiv.org/abs/2009.11989v1

    • [cs.SI]Inside the x-rated world of “premium” social media accounts
    Nikolaos Lykousas, Fran Casino, Constantinos Patsakis
    http://arxiv.org/abs/2009.11952v1

    • [econ.GN]The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
    Samuel Dooley, John P. Dickerson
    http://arxiv.org/abs/2009.11867v1

    • [eess.AS]Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization
    Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi
    http://arxiv.org/abs/2009.12042v1

    • [eess.IV]DPN: Detail-Preserving Network with High Resolution Representation for Efficient Segmentation of Retinal Vessels
    Song Guo
    http://arxiv.org/abs/2009.12053v1

    • [eess.IV]Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
    Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen
    http://arxiv.org/abs/2009.12111v1

    • [eess.SP]Intelligent Risk Alarm for Asthma Patients using Artificial Neural Networks
    Rawabi A. Aroud, Anas H. Blasi, Mohammed A. Alsuwaiket
    http://arxiv.org/abs/2009.12175v1

    • [math.NA]A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
    Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek Zohdi
    http://arxiv.org/abs/2009.11990v1

    • [math.NA]Alternating minimization for a single step TV-Stokes model for image denoising
    Bin Wu, Xue-Cheng Tai, Talal Rahman
    http://arxiv.org/abs/2009.11973v1

    • [math.NA]Iterative regularization algorithms for image denoising with the TV-Stokes model
    Bin Wu, Leszek Marcinkowski, Xue-Cheng Tai, Talal Rahman
    http://arxiv.org/abs/2009.11976v1

    • [math.NA]Multidimensional TV-Stokes for image processing
    Bin Wu, Xue-Cheng Tai, Talal Rahman
    http://arxiv.org/abs/2009.11971v1

    • [math.OC]Mirror Descent and the Information Ratio
    Tor Lattimore, András György
    http://arxiv.org/abs/2009.12228v1

    • [math.ST]ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise
    David L. Donoho, Matan Gavish, Elad Romanov
    http://arxiv.org/abs/2009.12297v1

    • [math.ST]Tracy-Widom law for the extreme eigenvalues of large signal-plus-noise matrices
    Zhixiang Zhang, Guangming Pan
    http://arxiv.org/abs/2009.12031v1

    • [physics.comp-ph]A physics-informed operator regression framework for extracting data-driven continuum models
    Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
    http://arxiv.org/abs/2009.11992v1

    • [physics.med-ph]Influence of segmentation accuracy in structural MR head scans on electric field computation for TMS and tES
    Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata
    http://arxiv.org/abs/2009.12015v1

    • [stat.AP]Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
    Ryan Janicki, Andrew M. Raim, Scott H. Holan, Jerry Maples
    http://arxiv.org/abs/2009.12351v1

    • [stat.AP]Similarity of multiple dose-response curves in interlaboratory studies in regulatory toxicology
    Ludwig A. Hothorn, Dimitrios Spiliotopoulos
    http://arxiv.org/abs/2009.12110v1

    • [stat.CO]Multilevel Gibbs Sampling for Bayesian Regression
    Joris Tavernier, Jaak Simm, Adam Arany, Karl Meerbergen, Yves Moreau
    http://arxiv.org/abs/2009.12132v1

    • [stat.ME]A new multivariate meta-analysis model for many variates and few studies
    Christopher James Rose, Unni Olsen, Maren Falch Lindberg, Eva Marie-Louise Denison, Anners Lerdal
    http://arxiv.org/abs/2009.11808v2

    • [stat.ME]A novel estimand to adjust for rescue treatment in clinical trials
    Hege Michiels, Cristina Sotto, An Vandebosch, Stijn Vansteelandt
    http://arxiv.org/abs/2009.12052v1

    • [stat.ME]Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
    Wanrong Zhang, Yajun Mei
    http://arxiv.org/abs/2009.11891v1

    • [stat.ME]Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
    Sirio Legramanti, Tommaso Rigon, Daniele Durante
    http://arxiv.org/abs/2009.12267v1

    • [stat.ME]Distributed Community Detection for Large Scale Networks Using Stochastic Block Model
    Shihao Wu, Zhe Li, Xuening Zhu
    http://arxiv.org/abs/2009.11747v2

    • [stat.ME]Doubly Robust Semiparametric Inference Using Regularized Calibrated Estimation with High-dimensional Data
    Satyajit Ghosh, Zhiqiang Tan
    http://arxiv.org/abs/2009.12033v1

    • [stat.ME]Latent Causal Socioeconomic Health Index
    F. Swen Kuh, Grace S. Chiu, Anton H. Westveld
    http://arxiv.org/abs/2009.12217v1

    • [stat.ME]Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds?
    Paul Gustafson
    http://arxiv.org/abs/2009.11993v1

    • [stat.ME]Towards the interpretation of time-varying regularization parameters in streaming penalized regression models
    Lenka Zboňáková, Ricardo Pio Monti, Wolfgang Karl Härdle
    http://arxiv.org/abs/2009.12113v1

    • [stat.ML]Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features
    Andrea Bommert, Jörg Rahnenführer
    http://arxiv.org/abs/2009.12075v1

    • [stat.ML]Bayesian Topological Learning for Classifying the Structure of Biological Networks
    Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin
    http://arxiv.org/abs/2009.11974v1

    • [stat.ML]Stein Variational Gaussian Processes
    Thomas Pinder, Christopher Nemeth, David Leslie
    http://arxiv.org/abs/2009.12141v1