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.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.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 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 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.TO - 组织和器官 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A critical analysis of metrics used for measuring progress in artificial intelligence
    • [cs.AI]A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification
    • [cs.AI]Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images
    • [cs.AI]Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
    • [cs.AI]Mixed-Initiative Level Design with RL Brush
    • [cs.AI]On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approach
    • [cs.AI]Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics
    • [cs.CL]An Interpretable Deep Learning System for Automatically Scoring Request for Proposals
    • [cs.CL]Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
    • [cs.CL]ConvBERT: Improving BERT with Span-based Dynamic Convolution
    • [cs.CL]Discovering and Categorising Language Biases in Reddit
    • [cs.CL]Efficient MDI Adaptation for n-gram Language Models
    • [cs.CL]Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
    • [cs.CR]The Athena Class of Risk-Limiting Ballot Polling Audits
    • [cs.CV]A Neural-Symbolic Framework for Mental Simulation
    • [cs.CV]Approach for document detection by contours and contrasts
    • [cs.CV]Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
    • [cs.CV]Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
    • [cs.CV]CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
    • [cs.CV]Compact Graph Architecture for Speech Emotion Recognition
    • [cs.CV]Cross-Model Image Annotation Platform with Active Learning
    • [cs.CV]Data-driven Meta-set Based Fine-Grained Visual Classification
    • [cs.CV]Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
    • [cs.CV]Efficient Non-Line-of-Sight Imaging from Transient Sinograms
    • [cs.CV]Exploring Relations in Untrimmed Videos for Self-Supervised Learning
    • [cs.CV]F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
    • [cs.CV]Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
    • [cs.CV]Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video
    • [cs.CV]Few-shot Classification via Adaptive Attention
    • [cs.CV]Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos
    • [cs.CV]GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation
    • [cs.CV]Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment
    • [cs.CV]Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
    • [cs.CV]Graph Convolutional Networks for Hyperspectral Image Classification
    • [cs.CV]Group Activity Prediction with Sequential Relational Anticipation Model
    • [cs.CV]Handwritten Character Recognition from Wearable Passive RFID
    • [cs.CV]IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
    • [cs.CV]IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
    • [cs.CV]Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
    • [cs.CV]Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network
    • [cs.CV]Learnable Graph Inception Network for Emotion Recognition
    • [cs.CV]Learning Illumination from Diverse Portraits
    • [cs.CV]Learning to Factorize and Relight a City
    • [cs.CV]MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models
    • [cs.CV]Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance
    • [cs.CV]Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
    • [cs.CV]Object-based Illumination Estimation with Rendering-aware Neural Networks
    • [cs.CV]On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
    • [cs.CV]Pairwise Relation Learning for Semi-supervised Gland Segmentation
    • [cs.CV]Salvage Reusable Samples from Noisy Data for Robust Learning
    • [cs.CV]Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
    • [cs.CV]Shonan Rotation Averaging: Global Optimality by Surfing $SO(p)^n$
    • [cs.CV]Structured Convolutions for Efficient Neural Network Design
    • [cs.CV]StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
    • [cs.CV]The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
    • [cs.CV]Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
    • [cs.CV]Unsupervised Learning for Identifying Events in Active Target Experiments
    • [cs.CV]Zero-Shot Multi-View Indoor Localization via Graph Location Networks
    • [cs.CY]Leading Digital Socio-Economy to Efficiency — A Primer on Tokenomics
    • [cs.CY]OpenStreetMap data use cases during the early months of the COVID-19 pandemic
    • [cs.CY]Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support
    • [cs.CY]The COVID-19 online shadow economy
    • [cs.DB]PrismDB: Read-aware Log-structured Merge Trees for Heterogeneous Storage
    • [cs.DC]Efficient Multi-word Compare and Swap
    • [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
    • [cs.DC]Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos
    • [cs.DC]Leaderless State-Machine Replication: Specification, Properties, Limits (Extended Version)
    • [cs.DC]Near Linear OS Scheduling Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
    • [cs.DC]Singularly Optimal Randomized Leader Election
    • [cs.HC]Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
    • [cs.HC]How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
    • [cs.IR]DeText: A Deep Text Ranking Framework with BERT
    • [cs.IR]Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
    • [cs.IR]Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
    • [cs.IR]UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks
    • [cs.IT]Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis
    • [cs.IT]SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks
    • [cs.LG]A Gentle Lecture Note on Filtrations in Reinforcement Learning
    • [cs.LG]A Robot that Counts Like a Child — a Developmental Model of Counting and Pointing
    • [cs.LG]Adiabatic Quantum Linear Regression
    • [cs.LG]Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
    • [cs.LG]Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
    • [cs.LG]Continuous-in-Depth Neural Networks
    • [cs.LG]Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
    • [cs.LG]DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
    • [cs.LG]Exchangeable Neural ODE for Set Modeling
    • [cs.LG]Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning
    • [cs.LG]Federated Transfer Learning with Dynamic Gradient Aggregation
    • [cs.LG]Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
    • [cs.LG]Functional Regularization for Representation Learning: A Unified Theoretical Perspective
    • [cs.LG]Graph Wasserstein Correlation Analysis for Movie Retrieval
    • [cs.LG]Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
    • [cs.LG]Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks
    • [cs.LG]Machine Learning for Health: Personalized Models for Forecasting of Alzheimer Disease Progression
    • [cs.LG]Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
    • [cs.LG]Notes on the Behavior of MC Dropout
    • [cs.LG]Offline Meta Reinforcement Learning
    • [cs.LG]QUBO Formulations for Training Machine Learning Models
    • [cs.LG]Training DNN Model with Secret Key for Model Protection
    • [cs.LG]Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
    • [cs.LO]Foundations of Reasoning with Uncertainty via Real-valued Logics
    • [cs.NE]ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
    • [cs.RO]Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
    • [cs.RO]Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations
    • [cs.RO]Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
    • [cs.RO]Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
    • [cs.RO]Dynamic and Versatile Humanoid Walking via Embedding 3D Actuated SLIP Model with Hybrid LIP Based Stepping
    • [cs.RO]Learning Context-Adaptive Task Constraints for Robotic Manipulation
    • [cs.RO]Optimization Fabrics
    • [cs.RO]Sequential Motion Planning for Bipedal Somersault via Flywheel SLIP and Momentum Transmission with Task Space Control
    • [cs.RO]The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
    • [cs.SD]Exact, Parallelizable Dynamic Time Warping Alignment with Linear Memory
    • [cs.SI]Studying Politeness across Cultures Using English Twitter and Mandarin Weibo
    • [cs.SI]Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
    • [econ.GN]Early warnings of COVID-19 outbreaks across Europe from social media?
    • [eess.AS]Aalto’s End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge
    • [eess.AS]Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition
    • [eess.AS]Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding
    • [eess.AS]FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire
    • [eess.AS]Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
    • [eess.AS]Improving on-device speaker verification using federated learning with privacy
    • [eess.AS]Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
    • [eess.AS]Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions
    • [eess.IV]A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
    • [eess.IV]Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
    • [eess.IV]Exploiting Temporal Attention Features for Effective Denoising in Videos
    • [eess.IV]Global Voxel Transformer Networks for Augmented Microscopy
    • [eess.IV]Machine learning for faster and smarter fluorescence lifetime imaging microscopy
    • [eess.IV]Optical Flow and Mode Selection for Learning-based Video Coding
    • [eess.IV]OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
    • [eess.SP]A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions
    • [eess.SP]An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare
    • [eess.SP]Machine Learning Based Framework for Estimation of Data Center Power Using Acoustic Side Channel
    • [eess.SY]Learning Power Control from a Fixed Batch of Data
    • [math.NA]Red Light Green Light Method for Solving Large Markov Chains
    • [math.OC]Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry
    • [math.OC]Large-time asymptotics in deep learning
    • [math.OC]Online Weight-adaptive Nonlinear Model Predictive Control
    • [math.PR]Exact Convergence Rate Analysis of the Independence Metropolis-Hastings Algorithms
    • [math.ST]A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
    • [physics.comp-ph]Protein Conformational States: A First Principles Bayesian Method
    • [physics.soc-ph]Impact of COVID-19 on Public Transit Accessibility and Ridership
    • [physics.soc-ph]Network comparison and the within-ensemble graph distance
    • [q-bio.NC]Gibbs Sampling with People
    • [q-bio.TO]Pneumonia after bacterial or viral infection preceded or followed by radiation exposure — a reanalysis of older radiobiological data
    • [stat.AP]Markovian And Non-Markovian Processes with Active Decision Making Strategies For Addressing The COVID-19 Pandemic
    • [stat.AP]Quantifying uncertainty and dynamical changes in multi-species fishing mortality rates, catches and biomass by combining state-space and mechanistic multi-species models
    • [stat.AP]Spatiotemporal dynamic of COVID-19 mortality in the city of Sao Paulo, Brazil: shifting the high risk from the best to the worst socio-economic conditions
    • [stat.CO]Bayesian Indirect Inference for Models with Intractable Normalizing Functions
    • [stat.ME]A stable and adaptive polygenic signal detection method based on repeated sample splitting
    • [stat.ME]Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes
    • [stat.ME]Conceptualising Natural and Quasi Experiments in Public Health
    • [stat.ME]Heterogeneous Idealization of Ion Channel Recordings — Open Channel Noise
    • [stat.ME]Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
    • [stat.ME]Local biplots for multi-dimensional scaling, with application to the microbiome
    • [stat.ME]Sequential change point test in the presence of outliers
    • [stat.ML]Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
    • [stat.ML]Concentration Bounds for Co-occurrence Matrices of Markov Chains
    • [stat.ML]Modeling of time series using random forests: theoretical developments
    • [stat.ML]ReLU nets adapt to intrinsic dimensionality beyond the target domain

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    • [cs.AI]A critical analysis of metrics used for measuring progress in artificial intelligence
    Kathrin Blagec, Georg Dorffner, Milad Moradi, Matthias Samwald
    http://arxiv.org/abs/2008.02577v1

    • [cs.AI]A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification
    Roberta Costabile, Gelsomina Catalano, Bernardo Cuteri, Maria Concetta Morelli, Nicola Leone, Marco Manna
    http://arxiv.org/abs/2008.02747v1

    • [cs.AI]Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images
    Joseph Stember, Hrithwik Shalu
    http://arxiv.org/abs/2008.02708v1

    • [cs.AI]Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
    Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu
    http://arxiv.org/abs/2008.02434v1

    • [cs.AI]Mixed-Initiative Level Design with RL Brush
    Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa, Julian Togelius
    http://arxiv.org/abs/2008.02778v1

    • [cs.AI]On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approach
    Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
    http://arxiv.org/abs/2008.02550v1

    • [cs.AI]Towards Ranking-based Semantics for Abstract Argumentation using Conditional Logic Semantics
    Kenneth Skiba, Matthias Thimm
    http://arxiv.org/abs/2008.02735v1

    • [cs.CL]An Interpretable Deep Learning System for Automatically Scoring Request for Proposals
    Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Veera Raghavendra Chikka, Arijit Ghosh Chowdhury, Vamsi M Bhandaru
    http://arxiv.org/abs/2008.02347v1

    • [cs.CL]Compositional Networks Enable Systematic Generalization for Grounded Language Understanding
    Yen-Ling Kuo, Boris Katz, Andrei Barbu
    http://arxiv.org/abs/2008.02742v1

    • [cs.CL]ConvBERT: Improving BERT with Span-based Dynamic Convolution
    Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
    http://arxiv.org/abs/2008.02496v1

    • [cs.CL]Discovering and Categorising Language Biases in Reddit
    Xavier Ferrer, Tom van Nuenen, Jose M. Such, Natalia Criado
    http://arxiv.org/abs/2008.02754v1

    • [cs.CL]Efficient MDI Adaptation for n-gram Language Models
    Ruizhe Huang, Ke Li, Ashish Arora, Dan Povey, Sanjeev Khudanpur
    http://arxiv.org/abs/2008.02385v1

    • [cs.CL]Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
    Patrick Lewis, Pontus Stenetorp, Sebastian Riedel
    http://arxiv.org/abs/2008.02637v1

    • [cs.CR]The Athena Class of Risk-Limiting Ballot Polling Audits
    Filip Zagórski, Grant McClearn, Sarah Morin, Neal McBurnett, Poorvi L. Vora
    http://arxiv.org/abs/2008.02315v1

    • [cs.CV]A Neural-Symbolic Framework for Mental Simulation
    Michael Kissner
    http://arxiv.org/abs/2008.02356v1

    • [cs.CV]Approach for document detection by contours and contrasts
    Daniil V. Tropin, Sergey A. Ilyuhin, Dmitry P. Nikolaev, Vladimir V. Arlazarov
    http://arxiv.org/abs/2008.02615v1

    • [cs.CV]Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
    Nishanth Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay Patel, Mishka Gidwani, Julius Adebayo, Matthew D. Li, Jayashree Kalpathy-Cramer
    http://arxiv.org/abs/2008.02766v1

    • [cs.CV]Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
    Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li
    http://arxiv.org/abs/2008.02312v1

    • [cs.CV]CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
    Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas
    http://arxiv.org/abs/2008.02792v1

    • [cs.CV]Compact Graph Architecture for Speech Emotion Recognition
    A. Shirian, T. Guha
    http://arxiv.org/abs/2008.02063v2

    • [cs.CV]Cross-Model Image Annotation Platform with Active Learning
    Ng Hui Xian Lynnette, Henry Ng Siong Hock, Nguwi Yok Yen
    http://arxiv.org/abs/2008.02421v1

    • [cs.CV]Data-driven Meta-set Based Fine-Grained Visual Classification
    Chuanyi Zhang, Yazhou Yao, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu
    http://arxiv.org/abs/2008.02438v1

    • [cs.CV]Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
    Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew
    http://arxiv.org/abs/2008.02520v1

    • [cs.CV]Efficient Non-Line-of-Sight Imaging from Transient Sinograms
    Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole
    http://arxiv.org/abs/2008.02787v1

    • [cs.CV]Exploring Relations in Untrimmed Videos for Self-Supervised Learning
    Dezhao Luo, Bo Fang, Yu Zhou, Yucan Zhou, Dayan Wu, Weiping Wang
    http://arxiv.org/abs/2008.02711v1

    • [cs.CV]F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
    Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang
    http://arxiv.org/abs/2008.01999v2

    • [cs.CV]Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
    Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
    http://arxiv.org/abs/2008.02693v1

    • [cs.CV]Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video
    Konstantin Bulatov, Nadezhda Fedotova, Vladimir V. Arlazarov
    http://arxiv.org/abs/2008.02566v1

    • [cs.CV]Few-shot Classification via Adaptive Attention
    Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng
    http://arxiv.org/abs/2008.02465v1

    • [cs.CV]Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos
    Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou
    http://arxiv.org/abs/2008.02448v1

    • [cs.CV]GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation
    Ying Liu, Wenhong Cai, Xiaohui Yuan, Jinhai Xiang
    http://arxiv.org/abs/2008.02436v1

    • [cs.CV]Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment
    Wojciech Michal Matkowski, Adams Wai Kin Kong
    http://arxiv.org/abs/2008.02500v1

    • [cs.CV]Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
    Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
    http://arxiv.org/abs/2008.02793v1

    • [cs.CV]Graph Convolutional Networks for Hyperspectral Image Classification
    Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
    http://arxiv.org/abs/2008.02457v1

    • [cs.CV]Group Activity Prediction with Sequential Relational Anticipation Model
    Junwen Chen, Wentao Bao, Yu Kong
    http://arxiv.org/abs/2008.02441v1

    • [cs.CV]Handwritten Character Recognition from Wearable Passive RFID
    Leevi Raivio, Han He, Johanna Virkki, Heikki Huttunen
    http://arxiv.org/abs/2008.02543v1

    • [cs.CV]IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
    Ajoy Mondal, Peter Lipps, C. V. Jawahar
    http://arxiv.org/abs/2008.02569v1

    • [cs.CV]IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
    Sadegh Rabiee, Joydeep Biswas
    http://arxiv.org/abs/2008.02760v1

    • [cs.CV]Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
    Theo Morales, Andriy Sarabakha, Erdal Kayacan
    http://arxiv.org/abs/2008.02596v1

    • [cs.CV]Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network
    Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen
    http://arxiv.org/abs/2008.02763v1

    • [cs.CV]Learnable Graph Inception Network for Emotion Recognition
    A. Shirian, S. Tripathi, T. Guha
    http://arxiv.org/abs/2008.02661v1

    • [cs.CV]Learning Illumination from Diverse Portraits
    Chloe LeGendre, Wan-Chun Ma, Rohit Pandey, Sean Fanello, Christoph Rhemann, Jason Dourgarian, Jay Busch, Paul Debevec
    http://arxiv.org/abs/2008.02396v1

    • [cs.CV]Learning to Factorize and Relight a City
    Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely
    http://arxiv.org/abs/2008.02796v1

    • [cs.CV]MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models
    Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
    http://arxiv.org/abs/2008.02593v1

    • [cs.CV]Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance
    Nandan Kumar Jha, Sparsh Mittal
    http://arxiv.org/abs/2008.02565v1

    • [cs.CV]Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
    Vikas Kumar, Shivansh Rao, Li Yu
    http://arxiv.org/abs/2008.02655v1

    • [cs.CV]Object-based Illumination Estimation with Rendering-aware Neural Networks
    Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong
    http://arxiv.org/abs/2008.02514v1

    • [cs.CV]On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
    Bernhard Liebl, Manuel Burghardt
    http://arxiv.org/abs/2008.02777v1

    • [cs.CV]Pairwise Relation Learning for Semi-supervised Gland Segmentation
    Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
    http://arxiv.org/abs/2008.02699v1

    • [cs.CV]Salvage Reusable Samples from Noisy Data for Robust Learning
    Zeren Sun, Xian-Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang
    http://arxiv.org/abs/2008.02427v1

    • [cs.CV]Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
    Li Tao, Xueting Wang, Toshihiko Yamasaki
    http://arxiv.org/abs/2008.02531v1

    • [cs.CV]Shonan Rotation Averaging: Global Optimality by Surfing $SO(p)^n$
    Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone
    http://arxiv.org/abs/2008.02737v1

    • [cs.CV]Structured Convolutions for Efficient Neural Network Design
    Yash Bhalgat, Yizhe Zhang, Jamie Lin, Fatih Porikli
    http://arxiv.org/abs/2008.02454v1

    • [cs.CV]StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
    Rameen Abdal, Peihao Zhu, Niloy Mitra, Peter Wonka
    http://arxiv.org/abs/2008.02401v1

    • [cs.CV]The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
    Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
    http://arxiv.org/abs/2008.02749v1

    • [cs.CV]Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
    Zhipeng Zhang, Bing Li, Weiming Hu, Houweng Peng
    http://arxiv.org/abs/2008.02745v1

    • [cs.CV]Unsupervised Learning for Identifying Events in Active Target Experiments
    Robert Solli, Daniel Bazin, Michelle P. Kuchera, Ryan R. Strauss, Morten Hjorth-Jensen
    http://arxiv.org/abs/2008.02757v1

    • [cs.CV]Zero-Shot Multi-View Indoor Localization via Graph Location Networks
    Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, Anan Liu, Roger Zimmermann
    http://arxiv.org/abs/2008.02492v1

    • [cs.CY]Leading Digital Socio-Economy to Efficiency — A Primer on Tokenomics
    Ricky Lamberty, Danny de Waard, Alexander Poddey
    http://arxiv.org/abs/2008.02538v1

    • [cs.CY]OpenStreetMap data use cases during the early months of the COVID-19 pandemic
    Peter Mooney, A. Yair Grinberger, Marco Minghini, Serena Coetzee, Levente Juhasz, Godwin Yeboah
    http://arxiv.org/abs/2008.02653v1

    • [cs.CY]Risk, Trust, and Bias: Causal Regulators of Biometric-Enabled Decision Support
    Kenneth Lai, Helder C. R. Oliveira, Ming Hou, Svetlana N. Yanushkevich, Vlad P. Shmerko
    http://arxiv.org/abs/2008.02359v1

    • [cs.CY]The COVID-19 online shadow economy
    Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli
    http://arxiv.org/abs/2008.01585v2

    • [cs.DB]PrismDB: Read-aware Log-structured Merge Trees for Heterogeneous Storage
    Ashwini Raina, Asaf Cidon, Kyle Jamieson, Michael J. Freedman
    http://arxiv.org/abs/2008.02352v1

    • [cs.DC]Efficient Multi-word Compare and Swap
    Rachid Guerraoui, Alex Kogan, Virendra J. Marathe, Igor Zablotchi
    http://arxiv.org/abs/2008.02527v1

    • [cs.DC]Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
    Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas
    http://arxiv.org/abs/2008.02033v2

    • [cs.DC]Fast Flexible Paxos: Relaxing Quorum Intersection for Fast Paxos
    Heidi Howard, Aleksey Charapko, Richard Mortier
    http://arxiv.org/abs/2008.02671v1

    • [cs.DC]Leaderless State-Machine Replication: Specification, Properties, Limits (Extended Version)
    Tuanir França Rezende, Pierre Sutra
    http://arxiv.org/abs/2008.02512v1

    • [cs.DC]Near Linear OS Scheduling Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
    Suryanarayana Murthy Durbhakula
    http://arxiv.org/abs/2008.02776v1

    • [cs.DC]Singularly Optimal Randomized Leader Election
    Shay Kutten, William K. Moses Jr., Gopal Pandurangan, David Peleg
    http://arxiv.org/abs/2008.02782v1

    • [cs.HC]Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
    Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey Hancock, Michael Bernstein
    http://arxiv.org/abs/2008.02311v1

    • [cs.HC]How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
    Hendrik Heuer, Andreas Breiter
    http://arxiv.org/abs/2008.01988v1

    • [cs.IR]DeText: A Deep Text Ranking Framework with BERT
    Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
    http://arxiv.org/abs/2008.02460v1

    • [cs.IR]Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
    Jin Peng Zhou, Ga Wu, Zheda Mai, Scott Sanner
    http://arxiv.org/abs/2008.01246v2

    • [cs.IR]Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
    Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
    http://arxiv.org/abs/2008.02372v1

    • [cs.IR]UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks
    Bo Huang, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao
    http://arxiv.org/abs/2008.02546v1

    • [cs.IT]Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation: Beamforming Design and Performance Analysis
    Shaoe Lin, Beixiong Zheng, George C. Alexandropoulos, Miaowen Wen, Marco Di Renzo, Fangjiong Chen
    http://arxiv.org/abs/2008.02555v1

    • [cs.IT]SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks
    E. Basar, I. Yildirim, I. F. Akyildiz
    http://arxiv.org/abs/2008.01448v2

    • [cs.LG]A Gentle Lecture Note on Filtrations in Reinforcement Learning
    W. J. A. van Heeswijk
    http://arxiv.org/abs/2008.02622v1

    • [cs.LG]A Robot that Counts Like a Child — a Developmental Model of Counting and Pointing
    Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo
    http://arxiv.org/abs/2008.02366v1

    • [cs.LG]Adiabatic Quantum Linear Regression
    Prasanna Date, Thomas Potok
    http://arxiv.org/abs/2008.02355v1

    • [cs.LG]Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
    MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami
    http://arxiv.org/abs/2008.02327v1

    • [cs.LG]Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
    Jihong Park, Sumudu Samarakoon, Anis Elgabli, Joongheon Kim, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah
    http://arxiv.org/abs/2008.02608v1

    • [cs.LG]Continuous-in-Depth Neural Networks
    Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney
    http://arxiv.org/abs/2008.02389v1

    • [cs.LG]Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
    Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
    http://arxiv.org/abs/2008.02430v1

    • [cs.LG]DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
    Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi
    http://arxiv.org/abs/2008.02397v1

    • [cs.LG]Exchangeable Neural ODE for Set Modeling
    Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
    http://arxiv.org/abs/2008.02676v1

    • [cs.LG]Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning
    Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn
    http://arxiv.org/abs/2008.02790v1

    • [cs.LG]Federated Transfer Learning with Dynamic Gradient Aggregation
    Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
    http://arxiv.org/abs/2008.02452v1

    • [cs.LG]Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
    Elizaveta Kharlova, Daniel May, Petr Musilek
    http://arxiv.org/abs/2008.02775v1

    • [cs.LG]Functional Regularization for Representation Learning: A Unified Theoretical Perspective
    Siddhant Garg, Yingyu Liang
    http://arxiv.org/abs/2008.02447v1

    • [cs.LG]Graph Wasserstein Correlation Analysis for Movie Retrieval
    Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang
    http://arxiv.org/abs/2008.02648v1

    • [cs.LG]Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
    Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
    http://arxiv.org/abs/2008.02663v1

    • [cs.LG]Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks
    Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
    http://arxiv.org/abs/2008.02528v1

    • [cs.LG]Machine Learning for Health: Personalized Models for Forecasting of Alzheimer Disease Progression
    Aritra Banerjee
    http://arxiv.org/abs/2008.02667v1

    • [cs.LG]Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
    Yuan Yao, Xutao Li, Yu Zhang, Yunming Ye
    http://arxiv.org/abs/2008.02714v1

    • [cs.LG]Notes on the Behavior of MC Dropout
    Francesco Verdoja, Ville Kyrki
    http://arxiv.org/abs/2008.02627v1

    • [cs.LG]Offline Meta Reinforcement Learning
    Ron Dorfman, Aviv Tamar
    http://arxiv.org/abs/2008.02598v1

    • [cs.LG]QUBO Formulations for Training Machine Learning Models
    Prasanna Date, Davis Arthur, Lauren Pusey-Nazzaro
    http://arxiv.org/abs/2008.02369v1

    • [cs.LG]Training DNN Model with Secret Key for Model Protection
    MaungMaung AprilPyone, Hitoshi Kiya
    http://arxiv.org/abs/2008.02450v1

    • [cs.LG]Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
    Lior Lukov, Sanjay Chawla, Wei Liu, Brett Church, Gaurav Pandey
    http://arxiv.org/abs/2008.02467v1

    • [cs.LO]Foundations of Reasoning with Uncertainty via Real-valued Logics
    Ronald Fagin, Ryan Riegel, Alexander Gray
    http://arxiv.org/abs/2008.02429v1

    • [cs.NE]ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
    Nihat Engin Toklu, Paweł Liskowski, Rupesh Kumar Srivastava
    http://arxiv.org/abs/2008.02387v1

    • [cs.RO]Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
    Hakan Girgin, Emmanuel Pignat, Noémie Jaquier, Sylvain Calinon
    http://arxiv.org/abs/2008.02540v1

    • [cs.RO]Can I Pour into It? Robot Imagining Open Containability Affordance of Previously Unseen Objects via Physical Simulations
    Hongtao Wu, Gregory S. Chirikjian
    http://arxiv.org/abs/2008.02321v1

    • [cs.RO]Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
    Lei He, Nabil Aouf, James F. Whidborne, Bifeng Song
    http://arxiv.org/abs/2008.02521v1

    • [cs.RO]Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
    Alex Church, John Lloyd, Raia Hadsell, Nathan F. Lepora
    http://arxiv.org/abs/2008.02646v1

    • [cs.RO]Dynamic and Versatile Humanoid Walking via Embedding 3D Actuated SLIP Model with Hybrid LIP Based Stepping
    Xiaobin Xiong, Aaron Ames
    http://arxiv.org/abs/2008.02435v1

    • [cs.RO]Learning Context-Adaptive Task Constraints for Robotic Manipulation
    Dennis Mronga, Frank Kirchner
    http://arxiv.org/abs/2008.02610v1

    • [cs.RO]Optimization Fabrics
    Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana
    http://arxiv.org/abs/2008.02399v1

    • [cs.RO]Sequential Motion Planning for Bipedal Somersault via Flywheel SLIP and Momentum Transmission with Task Space Control
    Xiaobin Xiong, Aaron Ames
    http://arxiv.org/abs/2008.02432v1

    • [cs.RO]The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
    Jan Blumenkamp, Amanda Prorok
    http://arxiv.org/abs/2008.02616v1

    • [cs.SD]Exact, Parallelizable Dynamic Time Warping Alignment with Linear Memory
    Christopher Tralie, Elizabeth Dempsey
    http://arxiv.org/abs/2008.02734v1

    • [cs.SI]Studying Politeness across Cultures Using English Twitter and Mandarin Weibo
    Mingyang Li, Louis Hickman, Louis Tay, Lyle Ungar, Sharath Chandra Guntuku
    http://arxiv.org/abs/2008.02449v1

    • [cs.SI]Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
    Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
    http://arxiv.org/abs/2008.02642v1

    • [econ.GN]Early warnings of COVID-19 outbreaks across Europe from social media?
    Milena Lopreite, Pietro Panzarasa, Michelangelo Puliga, Massimo Riccaboni
    http://arxiv.org/abs/2008.02649v1

    • [eess.AS]Aalto’s End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge
    Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kathania, Mikko Kurimo
    http://arxiv.org/abs/2008.02689v1

    • [eess.AS]Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition
    Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai
    http://arxiv.org/abs/2008.02686v1

    • [eess.AS]Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding
    Judith Gaspers, Quynh Do, Fabian Triefenbach
    http://arxiv.org/abs/2008.02603v1

    • [eess.AS]FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire
    Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Jing Yuan
    http://arxiv.org/abs/2008.02516v1

    • [eess.AS]Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
    Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir
    http://arxiv.org/abs/2008.02323v1

    • [eess.AS]Improving on-device speaker verification using federated learning with privacy
    Filip Granqvist, Matt Seigel, Rogier van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik
    http://arxiv.org/abs/2008.02651v1

    • [eess.AS]Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
    Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh, Yi-Hsuan Yang, Alvin Wen-Yu Su
    http://arxiv.org/abs/2008.02480v1

    • [eess.AS]Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions
    Santi Prieto, Alfonso Ortega, Iván López-Espejo, Eduardo Lleida
    http://arxiv.org/abs/2008.02487v1

    • [eess.IV]A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
    Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
    http://arxiv.org/abs/2008.01896v2

    • [eess.IV]Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
    Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekaraand, Xuewen Zhang, Chia-wei Woo, Jenny Low, Xiang Liu
    http://arxiv.org/abs/2008.02604v1

    • [eess.IV]Exploiting Temporal Attention Features for Effective Denoising in Videos
    Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay
    http://arxiv.org/abs/2008.02344v1

    • [eess.IV]Global Voxel Transformer Networks for Augmented Microscopy
    Zhengyang Wang, Yaochen Xie, Shuiwang Ji
    http://arxiv.org/abs/2008.02340v1

    • [eess.IV]Machine learning for faster and smarter fluorescence lifetime imaging microscopy
    Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard
    http://arxiv.org/abs/2008.02320v1

    • [eess.IV]Optical Flow and Mode Selection for Learning-based Video Coding
    Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
    http://arxiv.org/abs/2008.02580v1

    • [eess.IV]OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
    Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Jordi Gonzalez, Carles Fernandez Tena
    http://arxiv.org/abs/2008.02382v1

    • [eess.SP]A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions
    Anthony Ngo, Max Paul Bauer, Michael Resch
    http://arxiv.org/abs/2008.02725v1

    • [eess.SP]An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare
    William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi, Muhammad Ali Imran
    http://arxiv.org/abs/2008.02567v1

    • [eess.SP]Machine Learning Based Framework for Estimation of Data Center Power Using Acoustic Side Channel
    Mohsen Karimi, Fahimeh Arab
    http://arxiv.org/abs/2008.02481v1

    • [eess.SY]Learning Power Control from a Fixed Batch of Data
    Mohammad G. Khoshkholgh, Halim Yanikomeroglu
    http://arxiv.org/abs/2008.02669v1

    • [math.NA]Red Light Green Light Method for Solving Large Markov Chains
    Konstantin Avrachenkov, Patrick Brown, Nelly Litvak
    http://arxiv.org/abs/2008.02710v1

    • [math.OC]Curvature-Dependant Global Convergence Rates for Optimization on Manifolds of Bounded Geometry
    Mario Lezcano-Casado
    http://arxiv.org/abs/2008.02517v1

    • [math.OC]Large-time asymptotics in deep learning
    Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua
    http://arxiv.org/abs/2008.02491v1

    • [math.OC]Online Weight-adaptive Nonlinear Model Predictive Control
    Dimche Kostadinov, Davide Scaramuzza
    http://arxiv.org/abs/2008.02532v1

    • [math.PR]Exact Convergence Rate Analysis of the Independence Metropolis-Hastings Algorithms
    Guanyang Wang
    http://arxiv.org/abs/2008.02455v1

    • [math.ST]A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
    Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
    http://arxiv.org/abs/2008.02437v1

    • [physics.comp-ph]Protein Conformational States: A First Principles Bayesian Method
    David M. Rogers
    http://arxiv.org/abs/2008.02353v1

    • [physics.soc-ph]Impact of COVID-19 on Public Transit Accessibility and Ridership
    Michael Wilbur, Afiya Ayman, Anna Ouyang, Vincent Poon, Riyan Kabir, Abhiram Vadali, Philip Pugliese, Daniel Freudberg, Aron Laszka, Abhishek Dubey
    http://arxiv.org/abs/2008.02413v1

    • [physics.soc-ph]Network comparison and the within-ensemble graph distance
    Harrison Hartle, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy, Laurent Hébert-Dufresne
    http://arxiv.org/abs/2008.02415v1

    • [q-bio.NC]Gibbs Sampling with People
    Peter M. C. Harrison, Raja Marjieh, Federico Adolfi, Pol van Rijn, Manuel Anglada-Tort, Ofer Tchernichovski, Pauline Larrouy-Maestri, Nori Jacoby
    http://arxiv.org/abs/2008.02595v1

    • [q-bio.TO]Pneumonia after bacterial or viral infection preceded or followed by radiation exposure — a reanalysis of older radiobiological data
    Mark P Little
    http://arxiv.org/abs/2008.02625v1

    • [stat.AP]Markovian And Non-Markovian Processes with Active Decision Making Strategies For Addressing The COVID-19 Pandemic
    Hamid Eftekhari, Debarghya Mukherjee, Moulinath Banerjee, Ya’acov Ritov
    http://arxiv.org/abs/2008.00375v2

    • [stat.AP]Quantifying uncertainty and dynamical changes in multi-species fishing mortality rates, catches and biomass by combining state-space and mechanistic multi-species models
    Michael A. Spence, Robert B. Thorpe, Paul G. Blackwell, Finlay Scott, Richard Southwell, Julia L. Blanchard
    http://arxiv.org/abs/2008.02765v1

    • [stat.AP]Spatiotemporal dynamic of COVID-19 mortality in the city of Sao Paulo, Brazil: shifting the high risk from the best to the worst socio-economic conditions
    Patricia Marques Moralejo Bermudi, Camila Lorenz, Breno Souza de Aguiar, Marcelo Antunes Failla, Ligia Vizeu Barrozo, Francisco Chiaravalloti-Neto
    http://arxiv.org/abs/2008.02322v1

    • [stat.CO]Bayesian Indirect Inference for Models with Intractable Normalizing Functions
    Jaewoo Park
    http://arxiv.org/abs/2008.02497v1

    • [stat.ME]A stable and adaptive polygenic signal detection method based on repeated sample splitting
    Yanyan Zhao, Lei Sun
    http://arxiv.org/abs/2008.02442v1

    • [stat.ME]Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes
    William J. Artman, Ashkan Ertefaie, Kevin G. Lynch, James R. McKay
    http://arxiv.org/abs/2008.02341v1

    • [stat.ME]Conceptualising Natural and Quasi Experiments in Public Health
    Frank de Vocht, Srinivasa Vittal Katikireddi, Cheryl McQuire, Kate Tilling, Matthew Hickman, Peter Craig
    http://arxiv.org/abs/2008.02509v1

    • [stat.ME]Heterogeneous Idealization of Ion Channel Recordings — Open Channel Noise
    Florian Pein, Annika Bartsch, Claudia Steinem, Axel Munk
    http://arxiv.org/abs/2008.02658v1

    • [stat.ME]Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
    Zhichao Jiang, Peng Ding
    http://arxiv.org/abs/2008.02703v1

    • [stat.ME]Local biplots for multi-dimensional scaling, with application to the microbiome
    Julia Fukuyama
    http://arxiv.org/abs/2008.02662v1

    • [stat.ME]Sequential change point test in the presence of outliers
    Junmo Song
    http://arxiv.org/abs/2008.02365v1

    • [stat.ML]Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
    Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang
    http://arxiv.org/abs/2008.02386v1

    • [stat.ML]Concentration Bounds for Co-occurrence Matrices of Markov Chains
    Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang
    http://arxiv.org/abs/2008.02464v1

    • [stat.ML]Modeling of time series using random forests: theoretical developments
    Richard A. Davis, Mikkel S. Nielsen
    http://arxiv.org/abs/2008.02479v1

    • [stat.ML]ReLU nets adapt to intrinsic dimensionality beyond the target domain
    Alexander Cloninger, Timo Klock
    http://arxiv.org/abs/2008.02545v1