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.DB - 数据库 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.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.AP - 偏微分方程分析 math.CO - 组合数学 math.FA - 泛函演算 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 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]Degree-Ordered-Percolation on uncorrelated networks
    • [cs.AI]Towards Automated Discovery of Geometrical Theorems in GeoGebra
    • [cs.AI]Value-Decomposition Multi-Agent Actor-Critics
    • [cs.CL]A Survey on Graph Neural Networks for Knowledge Graph Completion
    • [cs.CL]FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings
    • [cs.CL]IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
    • [cs.CL]JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data
    • [cs.CL]MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning
    • [cs.CL]Named entity recognition in chemical patents using ensemble of contextual language models
    • [cs.CL]SummEval: Re-evaluating Summarization Evaluation
    • [cs.CR]MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack
    • [cs.CR]Model Checkers Are Cool: How to Model Check Voting Protocols in Uppaal
    • [cs.CR]Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays
    • [cs.CV]A Comprehensive Study on Sign Language Recognition Methods
    • [cs.CV]A Lightweight Neural Network for Monocular View Generation with Occlusion Handling
    • [cs.CV]An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
    • [cs.CV]Artificial Intelligence in the Creative Industries: A Review
    • [cs.CV]Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
    • [cs.CV]CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
    • [cs.CV]Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
    • [cs.CV]Deforming the Loss Surface
    • [cs.CV]Fully Convolutional Networks for Continuous Sign Language Recognition
    • [cs.CV]HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild
    • [cs.CV]Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
    • [cs.CV]KPRNet: Improving projection-based LiDAR semantic segmentation
    • [cs.CV]Learning Crisp Edge Detector Using Logical Refinement Network
    • [cs.CV]Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
    • [cs.CV]Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network
    • [cs.CV]Machine-learned Regularization and Polygonization of Building Segmentation Masks
    • [cs.CV]Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images
    • [cs.CV]MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation
    • [cs.CV]Micro-expression spotting: A new benchmark
    • [cs.CV]Multi-view adaptive graph convolutions for graph classification
    • [cs.CV]On the Effectiveness of Image Rotation for Open Set Domain Adaptation
    • [cs.CV]Performance analysis of weighted low rank model with sparse image histograms for face recognition under lowlevel illumination and occlusion
    • [cs.CV]Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
    • [cs.CV]Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
    • [cs.CV]SeismoGlow — Data augmentation for the class imbalance problem
    • [cs.CV]Self-Supervised Learning Across Domains
    • [cs.CV]Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
    • [cs.CV]Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach
    • [cs.CV]The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
    • [cs.CV]Towards Recognizing Unseen Categories in Unseen Domains
    • [cs.CV]Unsupervised Discovery of 3D Physical Objects from Video
    • [cs.CV]Visual Compositional Learning for Human-Object Interaction Detection
    • [cs.CV]ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
    • [cs.CY]COVID-19 Remote Patient Monitoring: Social Impact of AI
    • [cs.CY]Fine-grained Conflict Detection of IoT Services
    • [cs.CY]Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic — A Longitudinal Study
    • [cs.DB]Graph integration of structured, semistructured and unstructured data for data journalism
    • [cs.DC]An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications
    • [cs.DC]Home, SafeHome: Smart Home Reliability wit
    1000
    h Visibility and Atomicity
    • [cs.DC]Recursive Variable-Length State Compression for Multi-Core Software Model Checking
    • [cs.DC]Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains
    • [cs.DS]Tight Distributed Sketching Lower Bound for Connectivity
    • [cs.HC]Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home
    • [cs.IR]Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration
    • [cs.IR]IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
    • [cs.IR]Long-tail Session-based Recommendation
    • [cs.IR]Machine Learning Explanations to Prevent Overtrust in Fake News Detection
    • [cs.IT]Quasi-Degradation Probability of Two-User NOMA over Rician Fading Channels
    • [cs.IT]The MMI Decoder is Asymptotically Optimal for the Typical Random Code and for the Expurgated Code
    • [cs.LG]Adma: A Flexible Loss Function for Neural Networks
    • [cs.LG]Anticipating the Long-Term Effect of Online Learning in Control
    • [cs.LG]Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure
    • [cs.LG]Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
    • [cs.LG]Bayesian Robust Optimization for Imitation Learning
    • [cs.LG]Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
    • [cs.LG]Context-Aware Attentive Knowledge Tracing
    • [cs.LG]Cycles in Causal Learning
    • [cs.LG]Distributional Reinforcement Learning with Maximum Mean Discrepancy
    • [cs.LG]Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes
    • [cs.LG]Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
    • [cs.LG]Evaluation metrics for behaviour modeling
    • [cs.LG]Exploiting the Surrogate Gap in Online Multiclass Classification
    • [cs.LG]Explore More and Improve Regret in Linear Quadratic Regulators
    • [cs.LG]Hide-and-Seek Privacy Challenge
    • [cs.LG]Impact of Medical Data Imprecision on Learning Results
    • [cs.LG]Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
    • [cs.LG]Interpreting Spatially Infinite Generative Models
    • [cs.LG]MLJ: A Julia package for composable Machine Learning
    • [cs.LG]Mixture of Experts, Category Hierarchy Soft Constraint, Adversarial Regularization
    • [cs.LG]Monte-Carlo Tree Search as Regularized Policy Optimization
    • [cs.LG]MurTree: Optimal Classification Trees via Dynamic Programming and Search
    • [cs.LG]Off-Policy Multi-Agent Decomposed Policy Gradients
    • [cs.LG]Predictive Information Accelerates Learning in RL
    • [cs.LG]Scaling Graph Clustering with Distributed Sketches
    • [cs.LG]T-BFA: Targeted Bit-Flip Adversarial Weight Attack
    • [cs.LG]The Lottery Ticket Hypothesis for Pre-trained BERT Networks
    • [cs.LG]The Representation Theory of Neural Networks
    • [cs.LG]The foundations of cost-sensitive causal classification
    • [cs.LG]Transferred Discrepancy: Quantifying the Difference Between Representations
    • [cs.LG]What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
    • [cs.NE]Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
    • [cs.RO]Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
    • [cs.RO]Decentralized Safe Reactive Planning under TWTL Specifications
    • [cs.RO]Globally Optimal Solution to Inverse Kinematics of 7DO
    6b5f
    F Serial Manipulator
    • [cs.RO]Human-Robot Interaction in a Shared Augmented Reality Workspace
    • [cs.RO]Learning the Solution Manifold in Optimization and Its Application in Motion Planning
    • [cs.RO]Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering
    • [cs.RO]Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
    • [cs.RO]Usability of a Robot’s Realistic Facial Expressions and Peripherals in Autistic Children’s Therapy
    • [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
    • [cs.SI]WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery
    • [eess.AS]Dereverberation using joint estimation of dry speech signal and acoustic system
    • [eess.IV]COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net
    • [eess.IV]Frequency Domain-based Perceptual Loss for Super Resolution
    • [eess.IV]Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
    • [eess.IV]Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
    • [eess.SP]Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization
    • [eess.SY]Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
    • [math.AP]On anisotropic diffusion equations for label propagation
    • [math.CO]On the Number of Affine Equivalence Classes of Boolean Functions
    • [math.FA]The Heyde theorem on a group $\mathbb{R}^n\times D$, where $D$ is a discrete Abelian group
    • [math.ST]Canonical thresholding for non-sparse high-dimensional linear regression
    • [math.ST]Global sensitivity analysis and Wasserstein spaces
    • [math.ST]Prediction-based estimation for diffusion models with high-frequency data
    • [math.ST]Principal Separable Component Analysis via the Partial Inner Product
    • [math.ST]Trade-off between validity and efficiency of merging p-values under arbitrary dependence
    • [physics.soc-ph]Infodemics: A call to action for interdisciplinary research
    • [q-bio.QM]Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics
    • [stat.AP]A versatile trend test for the evaluation of tumor incidences in long-term carcinogenicity bioassays
    • [stat.ME]A (tight) upper bound for the length of confidence intervals with conditional coverage
    • [stat.ME]A Nonparametric Test of Dependence Based on Ensemble of Decision Trees
    • [stat.ME]Bayesian Combinatorial Multi-Study Factor Analysis
    • [stat.ME]Controlling Privacy Loss in Survey Sampling (Working Paper)
    • [stat.ME]Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference
    • [stat.ME]Optimal sample size for the Birnbaum-Saunders distribution under a decision-theoretic approach
    • [stat.ML]Cross-validation Confidence Intervals for Test Error
    • [stat.ML]Multinomial Sampling for Hierarchical Change-Point Detection

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

    • [cond-mat.stat-mech]Degree-Ordered-Percolation on uncorrelated networks
    Annalisa Caligiuri, Claudio Castellano
    http://arxiv.org/abs/2007.12549v1

    • [cs.AI]Towards Automated Discovery of Geometrical Theorems in GeoGebra
    Zoltán Kovács, Jonathan H. Yu
    http://arxiv.org/abs/2007.12447v1

    • [cs.AI]Value-Decomposition Multi-Agent Actor-Critics
    Jianyu Su, Stephen Adams, Peter A. Beling
    http://arxiv.org/abs/2007.12306v1

    • [cs.CL]A Survey on Graph Neural Networks for Knowledge Graph Completion
    Siddhant Arora
    http://arxiv.org/abs/2007.12374v1

    • [cs.CL]FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings
    Bertelt Braaksma, Richard Scholtens, Stan van Suijlekom, Remy Wang, Ahmet Üstün
    http://arxiv.org/abs/2007.12544v1

    • [cs.CL]IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
    Jaeyoul Shin, Taeuk Kim, Sang-goo Lee
    http://arxiv.org/abs/2007.12390v1

    • [cs.CL]JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data
    Avishek Garain, Sainik Kumar Mahata, Dipankar Das
    http://arxiv.org/abs/2007.12561v1

    • [cs.CL]MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning
    Aina Garí Soler, Marianna Apidianaki
    http://arxiv.org/abs/2007.12432v1

    • [cs.CL]Named entity recognition in chemical patents using ensemble of contextual language models
    Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro
    http://arxiv.org/abs/2007.12569v1

    • [cs.CL]SummEval: Re-evaluating Summarization Evaluation
    Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Richard Socher, Dragomir Radev
    http://arxiv.org/abs/2007.12626v1

    • [cs.CR]MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack
    Ziyao Liu, Ivan Tjuawinata, Chaoping Xing, Kwok Yan Lam
    http://arxiv.org/abs/2007.12557v1

    • [cs.CR]Model Checkers Are Cool: How to Model Check Voting Protocols in Uppaal
    Wojciech Jamroga, Yan Kim, Damian Kurpiewski, Peter Y. A. Ryan
    http://arxiv.org/abs/2007.12412v1

    • [cs.CR]Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays
    Reyhan Duezguen, Peter Mayer, Sanchari Das, Melanie Volkamer
    http://arxiv.org/abs/2007.11663v2

    • [cs.CV]A Comprehensive Study on Sign Language Recognition Methods
    Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras
    http://arxiv.org/abs/2007.12530v1

    • [cs.CV]A Lightweight Neural Network for Monocular View Generation with Occlusion Handling
    Simon Evain, Christine Guillemot
    http://arxiv.org/abs/2007.12577v1

    • [cs.CV]An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
    Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi
    http://arxiv.org/abs/2007.12392v1

    • [cs.CV]Artificial Intelligence in the Creative Industries: A Review
    Nantheera Anantrasirichai, David Bull
    http://arxiv.org/abs/2007.12391v1

    • [cs.CV]Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
    Evonne Ng, Hanbyul Joo, Shiry Ginosar, Trevor Darrell
    http://arxiv.org/abs/2007.12287v1

    • [cs.CV]CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
    Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu
    http://arxiv.org/abs/2007.12342v1

    • [cs.CV]Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
    Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai
    http://arxiv.org/abs/2007.12387v1

    • [cs.CV]Deforming the Loss Surface
    Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu
    http://arxiv.org/abs/2007.12515v1

    • [cs.CV]Fully Convolutional Networks for Continuous Sign Language Recognition
    Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai
    http://arxiv.org/abs/2007.12402v1

    • [cs.CV]HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild
    Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang
    http://arxiv.org/abs/2007.12519v1

    • [cs.CV]Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
    Carola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost van de Weijer
    http://arxiv.org/abs/2007.12562v1

    • [cs.CV]KPRNet: Improving projection-based LiDAR semantic segmentation
    Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij
    http://arxiv.org/abs/2007.12668v1

    • [cs.CV]Learning Crisp Edge Detector Using Logical Refinement Network
    Luyan Liu, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2007.12449v1

    • [cs.CV]Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
    Jing Zhang, Jianwen Xie, Nick Barnes
    http://arxiv.org/abs/2007.12211v1

    • [cs.CV]Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network
    Lingyi Liu, Yunpeng Bai, Ying Li
    http://arxiv.org/abs/2007.12326v1

    • [cs.CV]Machine-learned Regularization and Polygonization of Building Segmentation Masks
    Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer
    http://arxiv.org/abs/2007.12587v1

    • [cs.CV]Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images
    Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer
    http://arxiv.org/abs/2007.12470v1

    • [cs.CV]MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation
    Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
    http://arxiv.org/abs/2007.12684v1

    • [cs.CV]Micro-expression spotting: A new benchmark
    Thuong-Khanh Tran, Quang-Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao
    http://arxiv.org/abs/2007.12421v1

    • [cs.CV]Multi-view adaptive graph convolutions for graph classification
    Nikolas Adaloglou, Nicholas Vretos, Petros Daras
    http://arxiv.org/abs/2007.12450v1

    • [cs.CV]On the Effectiveness of Image Rotation for Open Set Domain Adaptation
    Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi
    http://arxiv.org/abs/2007.12360v1

    • [cs.CV]Performance analysis of weighted low rank model with sparse image histograms for face recognition under lowlevel illumination and occlusion
    K. V. Sridhar, Raghu vamshi Hemadri
    http://arxiv.org/abs/2007.12362v1

    • [cs.CV]Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
    Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Phillip S. Yu, Joelle A. Hallak
    http://arxiv.org/abs/2007.12672v1

    • [cs.CV]Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
    Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
    http://arxiv.org/abs/2007.12540v1

    • [cs.CV]SeismoGlow — Data augmentation for the class imbalance problem
    Ruy Luiz Milidiú, Luis Felipe Müller
    http://arxiv.org/abs/2007.12229v1

    • [cs.CV]Self-Supervised Learning Across Domains
    Silvia Bucci, Antonio D’Innocente, Yujun Liao, Fabio Maria Carlucci, Barbara Caputo, Tatiana Tommasi
    http://arxiv.org/abs/2007.12368v1

    • [cs.CV]Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
    Jiaxiang Shang, Tianwei Shen, Shiwei Li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan
    http://arxiv.org/abs/2007.12494v1

    • [cs.CV]Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach
    Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency
    http://arxiv.org/abs/2007.12553v1

    • [cs.CV]The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation
    Eitan Richardson, Yair Weiss
    http://arxiv.org/abs/2007.12568v1

    • [cs.CV]Towards Recognizing Unseen Categories in Unseen Domains
    Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo
    http://arxiv.org/abs/2007.12256v1

    • [cs.CV]Unsupervised Discovery of 3D Physical Objects from Video
    Yilun Du, Kevin Smith, Tomer Ulman, Joshua Tenenbaum, Jiajun Wu
    http://arxiv.org/abs/2007.12348v1

    • [cs.CV]Visual Compositional Learning for Human-Object Interaction Detection
    Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao
    http://arxiv.org/abs/2007.12407v1

    • [cs.CV]ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
    Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh
    http://arxiv.org/abs/2007.12212v1

    • [cs.CY]COVID-19 Remote Patient Monitoring: Social Impact of AI
    Ashlesha Nesarikar, Waqas Haque, Suchith Vuppala, Abhijit Nesarikar
    http://arxiv.org/abs/2007.12312v1

    • [cs.CY]Fine-grained Conflict Detection of IoT Services
    Dipankar Chaki, Athman Bouguettaya
    http://arxiv.org/abs/2007.12487v1

    • [cs.CY]Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic — A Longitudinal Study
    Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel
    http://arxiv.org/abs/2007.12580v1

    • [cs.DB]Graph integration of structured, semistructured and unstructured data for data journalism
    Oana Balalau, Catarina Conceiç{ã}o, Helena Galhardas, Ioana Manolescu, Tayeb Merabti, Jingmao You, Youssr Youssef
    http://arxiv.org/abs/2007.12488v1

    • [cs.DC]An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications
    Kostas Kolomvatsos
    http://arxiv.org/abs/2007.12648v1

    • [cs.DC]Home, SafeHome: Smart Home Reliability wit
    1000
    h Visibility and Atomicity
    Shegufta Bakht Ahsan, Rui Yang, Shadi A. Noghabi, Indranil Gupta
    http://arxiv.org/abs/2007.12359v1

    • [cs.DC]Recursive Variable-Length State Compression for Multi-Core Software Model Checking
    Freark I. van der Berg
    http://arxiv.org/abs/2007.12174v1

    • [cs.DC]Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains
    Manuel Bravo, Zsolt István, Man-Kit Sit
    http://arxiv.org/abs/2007.12637v1

    • [cs.DS]Tight Distributed Sketching Lower Bound for Connectivity
    Huacheng Yu
    http://arxiv.org/abs/2007.12323v1

    • [cs.HC]Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home
    Sam Nolan, Shakila Khan Rumi, Christoph Anderson, Klaus David, Flora D. Salim
    http://arxiv.org/abs/2007.12353v1

    • [cs.IR]Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
    http://arxiv.org/abs/2007.12230v1

    • [cs.IR]IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
    Anup Anand Deshmukh, Udhav Sethi
    http://arxiv.org/abs/2007.12603v1

    • [cs.IR]Long-tail Session-based Recommendation
    Siyi Liu, Yujia Zheng
    http://arxiv.org/abs/2007.12329v1

    • [cs.IR]Machine Learning Explanations to Prevent Overtrust in Fake News Detection
    Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan
    http://arxiv.org/abs/2007.12358v1

    • [cs.IT]Quasi-Degradation Probability of Two-User NOMA over Rician Fading Channels
    Kuang-Hao Liu
    http://arxiv.org/abs/2007.12408v1

    • [cs.IT]The MMI Decoder is Asymptotically Optimal for the Typical Random Code and for the Expurgated Code
    Ran Tamir, Neri Merhav
    http://arxiv.org/abs/2007.12225v1

    • [cs.LG]Adma: A Flexible Loss Function for Neural Networks
    Aditya Shrivastava
    http://arxiv.org/abs/2007.12499v1

    • [cs.LG]Anticipating the Long-Term Effect of Online Learning in Control
    Alexandre Capone, Sandra Hirche
    http://arxiv.org/abs/2007.12377v1

    • [cs.LG]Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure
    Attila Fazekas, György Kovács
    http://arxiv.org/abs/2007.12463v1

    • [cs.LG]Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
    Eric Chu, Deb Roy, Jacob Andreas
    http://arxiv.org/abs/2007.12248v1

    • [cs.LG]Bayesian Robust Optimization for Imitation Learning
    Daniel S. Brown, Scott Niekum, Marek Petrik
    http://arxiv.org/abs/2007.12315v1

    • [cs.LG]Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
    Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens
    http://arxiv.org/abs/2007.12678v1

    • [cs.LG]Context-Aware Attentive Knowledge Tracing
    Aritra Ghosh, Neil Heffernan, Andrew S. Lan
    http://arxiv.org/abs/2007.12324v1

    • [cs.LG]Cycles in Causal Learning
    Katie Everett, Ian Fischer
    http://arxiv.org/abs/2007.12335v1

    • [cs.LG]Distributional Reinforcement Learning with Maximum Mean Discrepancy
    Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh
    http://arxiv.org/abs/2007.12354v1

    • [cs.LG]Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes
    Hans-Christian Ruiz Euler, Unai Alegre-Ibarra, Bram van de Ven, Hajo Broersma, Peter A. Bobbert, Wilfred G. van der Wiel
    http://arxiv.org/abs/2007.12371v1

    • [cs.LG]Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
    Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
    http://arxiv.org/abs/2007.12355v1

    • [cs.LG]Evaluation metrics for behaviour modeling
    Daniel Jiwoong Im, Iljung Kwak, Kristin Branson
    http://arxiv.org/abs/2007.12298v1

    • [cs.LG]Exploiting the Surrogate Gap in Online Multiclass Classification
    Dirk van der Hoeven
    http://arxiv.org/abs/2007.12618v1

    • [cs.LG]Explore More and Improve Regret in Linear Quadratic Regulators
    Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
    http://arxiv.org/abs/2007.12291v1

    • [cs.LG]Hide-and-Seek Privacy Challenge
    James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
    http://arxiv.org/abs/2007.12087v2

    • [cs.LG]Impact of Medical Data Imprecision on Learning Results
    Mei Wang, Jianwen Su, Haiqin Lu
    http://arxiv.org/abs/2007.12375v1

    • [cs.LG]Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
    Alexandra-Ioana Albu, Alina Enescu, Luigi Malagò
    http://arxiv.org/abs/2007.12528v1

    • [cs.LG]Interpreting Spatially Infinite Generative Models
    Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman
    http://arxiv.org/abs/2007.12411v1

    • [cs.LG]MLJ: A Julia package for composable Machine Learning
    Anthony D. Blaom, Franz Kiraly, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer
    http://arxiv.org/abs/2007.12285v1

    • [cs.LG]Mixture of Experts, Category Hierarchy Soft Constraint, Adversarial Regularization
    Zhuojian Xiao, Yunjiang jiang, Guoyu Tang, Lin Liu, Sulong Xu, Yun Xiao, Weipeng Yan
    http://arxiv.org/abs/2007.12349v1

    • [cs.LG]Monte-Carlo Tree Search as Regularized Policy Optimization
    Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos
    http://arxiv.org/abs/2007.12509v1

    • [cs.LG]MurTree: Optimal Classification Trees via Dynamic Programming and Search
    Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
    http://arxiv.org/abs/2007.12652v1

    • [cs.LG]Off-Policy Multi-Agent Decomposed Policy Gradients
    Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
    http://arxiv.org/abs/2007.12322v1

    • [cs.LG]Predictive Information Accelerates Learning in RL
    Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama
    http://arxiv.org/abs/2007.12401v1

    • [cs.LG]Scaling Graph Clustering with Distributed Sketches
    Benjamin W. Priest, Alec Dunton, Geoffrey Sanders
    http://arxiv.org/abs/2007.12669v1

    • [cs.LG]T-BFA: Targeted Bit-Flip Adversarial Weight Attack
    Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
    http://arxiv.org/abs/2007.12336v1

    • [cs.LG]The Lottery Ticket Hypothesis for Pre-trained BERT Networks
    Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
    http://arxiv.org/abs/2007.12223v1

    • [cs.LG]The Representation Theory of Neural Networks
    Marco Antonio Armenta, Pierre-Marc Jodoin
    http://arxiv.org/abs/2007.12213v1

    • [cs.LG]The foundations of cost-sensitive causal classification
    Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado
    http://arxiv.org/abs/2007.12582v1

    • [cs.LG]Transferred Discrepancy: Quantifying the Difference Between Representations
    Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong
    http://arxiv.org/abs/2007.12446v1

    • [cs.LG]What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
    Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li
    http://arxiv.org/abs/2007.12415v1

    • [cs.NE]Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
    Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb
    http://arxiv.org/abs/2007.12332v1

    • [cs.RO]Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
    Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan Englot
    http://arxiv.org/abs/2007.12640v1

    • [cs.RO]Decentralized Safe Reactive Planning under TWTL Specifications
    Ryan Peterson, Ali Tevfik Buyukkocak, Derya Aksaray, Yasin Yazicioglu
    http://arxiv.org/abs/2007.12278v1

    • [cs.RO]Globally Optimal Solution to Inverse Kinematics of 7DO
    6b5f
    F Serial Manipulator
    Pavel Trutman, Safey El Din Mohab, Didier Henrion, Tomas Pajdla
    http://arxiv.org/abs/2007.12550v1

    • [cs.RO]Human-Robot Interaction in a Shared Augmented Reality Workspace
    Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu
    http://arxiv.org/abs/2007.12656v1

    • [cs.RO]Learning the Solution Manifold in Optimization and Its Application in Motion Planning
    Takayuki Osa
    http://arxiv.org/abs/2007.12397v1

    • [cs.RO]Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering
    Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson
    http://arxiv.org/abs/2007.12233v1

    • [cs.RO]Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
    Jonas Tjomsland, Sinan Kalkan, Hatice Gunes
    http://arxiv.org/abs/2007.12506v1

    • [cs.RO]Usability of a Robot’s Realistic Facial Expressions and Peripherals in Autistic Children’s Therapy
    Jamy Li, Daniel Davison, Bob Schadenberg, Pauline Chevalier, Alyssa Alcorn, Alria Williams, Suncica Petrovic, Snezana Babovic Dimitrijevic, Jie Shen, Liz Pellicano, Vanessa Evers
    http://arxiv.org/abs/2007.12236v1

    • [cs.SE]A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
    Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu
    http://arxiv.org/abs/2007.11354v3

    • [cs.SI]WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery
    Mu Mu
    http://arxiv.org/abs/2007.12250v1

    • [eess.AS]Dereverberation using joint estimation of dry speech signal and acoustic system
    Sanna Wager, Keunwoo Choi, Simon Durand
    http://arxiv.org/abs/2007.12581v1

    • [eess.IV]COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net
    Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka
    http://arxiv.org/abs/2007.12303v1

    • [eess.IV]Frequency Domain-based Perceptual Loss for Super Resolution
    Shane D. Sims
    http://arxiv.org/abs/2007.12296v1

    • [eess.IV]Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
    Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li
    http://arxiv.org/abs/2007.12578v1

    • [eess.IV]Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
    Md Manjurul Ahsan, Kishor Datta Gupta, Mohammad Maminur Islam, Sajib Sen, Md. Lutfar Rahman, Mohammad Shakhawat Hossain
    http://arxiv.org/abs/2007.12525v1

    • [eess.SP]Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization
    Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte
    http://arxiv.org/abs/2007.12364v1

    • [eess.SY]Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
    Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen, Dongpu Cao
    http://arxiv.org/abs/2007.12560v1

    • [math.AP]On anisotropic diffusion equations for label propagation
    Lisa Maria Kreusser, Marie-Therese Wolfram
    http://arxiv.org/abs/2007.12516v1

    • [math.CO]On the Number of Affine Equivalence Classes of Boolean Functions
    Xiang-dong Hou
    http://arxiv.org/abs/2007.12308v1

    • [math.FA]The Heyde theorem on a group $\mathbb{R}^n\times D$, where $D$ is a discrete Abelian group
    Margaryta Myronyuk
    http://arxiv.org/abs/2007.12241v1

    • [math.ST]Canonical thresholding for non-sparse high-dimensional linear regression
    Igor Silin, Jianqing Fan
    http://arxiv.org/abs/2007.12313v1

    • [math.ST]Global sensitivity analysis and Wasserstein spaces
    Jean-Claude Fort, Thierry Klein, Agnès Lagnoux
    http://arxiv.org/abs/2007.12378v1

    • [math.ST]Prediction-based estimation for diffusion models with high-frequency data
    Emil S. Jørgensen, Michael Sørensen
    http://arxiv.org/abs/2007.12441v1

    • [math.ST]Principal Separable Component Analysis via the Partial Inner Product
    Tomas Masak, Soham Sarkar, Victor M. Panaretos
    http://arxiv.org/abs/2007.12175v1

    • [math.ST]Trade-off between validity and efficiency of merging p-values under arbitrary dependence
    Yuyu Chen, Peng Liu, Ken Seng Tan, Ruodu Wang
    http://arxiv.org/abs/2007.12366v1

    • [physics.soc-ph]Infodemics: A call to action for interdisciplinary research
    Stephan Leitner, Bartosz Gula, Dietmar Jannach, Ulrike Krieg-Holz, Friederike Wall
    http://arxiv.org/abs/2007.12226v1

    • [q-bio.QM]Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics
    Hu Zhu, Catherine Z. Chen, Srilatha Sakamuru, Anton Simeonov, Mathew D. Hall, Menghang Xia, Wei Zheng, Ruili Huang
    http://arxiv.org/abs/2007.12242v1

    • [stat.AP]A versatile trend test for the evaluation of tumor incidences in long-term carcinogenicity bioassays
    Ludwig A. Hothorn, Atiar M. Rahman, Frank Schaarschmidt
    http://arxiv.org/abs/2007.12419v1

    • [stat.ME]A (tight) upper bound for the length of confidence intervals with conditional coverage
    Danijel Kivaranovic, Hannes Leeb
    http://arxiv.org/abs/2007.12448v1

    • [stat.ME]A Nonparametric Test of Dependence Based on Ensemble of Decision Trees
    Rami Mahdi
    http://arxiv.org/abs/2007.12325v1

    • [stat.ME]Bayesian Combinatorial Multi-Study Factor Analysis
    Isabella N. Grabski, Roberta De Vito, Lorenzo Trippa, Giovanni Parmigiani
    http://arxiv.org/abs/2007.12616v1

    • [stat.ME]Controlling Privacy Loss in Survey Sampling (Working Paper)
    Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan
    http://arxiv.org/abs/2007.12674v1

    • [stat.ME]Fast and Accurate Estimation of Non-Nested Binomial Hierarchical Models Using Variational Inference
    Max Goplerud
    http://arxiv.org/abs/2007.12300v1

    • [stat.ME]Optimal sample size for the Birnbaum-Saunders distribution under a decision-theoretic approach
    Eliardo G. Costa, Manoel Santos-Neto
    http://arxiv.org/abs/2007.12333v1

    • [stat.ML]Cross-validation Confidence Intervals for Test Error
    Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey
    http://arxiv.org/abs/2007.12671v1

    • [stat.ML]Multinomial Sampling for Hierarchical Change-Point Detection
    Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
    http://arxiv.org/abs/2007.12420v1