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