cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.MM - 多媒体 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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-ph - 数学物理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.RM - 风险管理 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]Deceptive Kernel Function on Observations of Discrete POMDP
• [cs.AI]Process Discovery for Structured Program Synthesis
• [cs.CL]Cognitive Representation Learning of Self-Media Online Article Quality
• [cs.CL]Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?
• [cs.CL]Compression of Deep Learning Models for Text: A Survey
• [cs.CL]Dialogue State Induction Using Neural Latent Variable Models
• [cs.CL]Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
• [cs.CL]Exploration of Gender Differences in COVID-19 Discourse on Reddit
• [cs.CL]MASRI-HEADSET: A Maltese Corpus for Speech Recognition
• [cs.CL]MICE: Mining Idioms with Contextual Embeddings
• [cs.CL]On the Importance of Local Information in Transformer Based Models
• [cs.CL]Ranking Enhanced Dialogue Generation
• [cs.CL]Semantics-preserving adversarial attacks in NLP
• [cs.CR]LAC : LSTM AUTOENCODER with Community for Insider Threat Detection
• [cs.CV]Adversarial Knowledge Transfer from Unlabeled Data
• [cs.CV]Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
• [cs.CV]An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
• [cs.CV]Attention-based Fully Gated Conventional Recurrent Neural Network for Russian Handwritten Text
• [cs.CV]BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
• [cs.CV]Black Magic in Deep Learning: How Human Skill Impacts Network Training
• [cs.CV]Co-training for On-board Deep Object Detection
• [cs.CV]Contextual Diversity for Active Learning
• [cs.CV]Continual Class Incremental Learning for CT Thoracic Segmentation
• [cs.CV]CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration
• [cs.CV]DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
• [cs.CV]DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
• [cs.CV]DSDNet: Deep Structured self-Driving Network
• [cs.CV]End-to-end Contextual Perception and Prediction with Interaction Transformer
• [cs.CV]ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis
• [cs.CV]Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning
• [cs.CV]Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
• [cs.CV]Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
• [cs.CV]Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
• [cs.CV]Free View Synthesis
• [cs.CV]Full-Body Awareness from Partial Observations
• [cs.CV]Generating Person-Scene Interactions in 3D Scenes
• [cs.CV]Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
• [cs.CV]ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
• [cs.CV]Image segmentation via Cellular Automata
• [cs.CV]LGNN: a Context-aware Line Segment Detector
• [cs.CV]Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
• [cs.CV]Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
• [cs.CV]Localizing the Common Action Among a Few Videos
• [cs.CV]Mitigating Dataset Imbalance via Joint Generation and Classification
• [cs.CV]Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture
• [cs.CV]Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal
• [cs.CV]Network Architecture Search for Domain Adaptation
• [cs.CV]On failures of RGB cameras and their effects in autonomous driving applications
• [cs.CV]Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes
• [cs.CV]Powers of layers for image-to-image translation
• [cs.CV]Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings
• [cs.CV]Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
• [cs.CV]Reliability of Decision Support in Cross-spectral Biometric-enabled Systems
• [cs.CV]Robust Image Matching By Dynamic Feature Selection
• [cs.CV]SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
• [cs.CV]Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
• [cs.CV]Self-supervised Video Representation Learning by Pace Prediction
• [cs.CV]Shift Equivariance in Object Detection
• [cs.CV]SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images
• [cs.CV]Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
• [cs.CV]Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
• [cs.CV]Towards Visually Explaining Similarity Models
• [cs.CV]Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
• [cs.CV]We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
• [cs.CV]Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
• [cs.CV]What Should Not Be Contrastive in Contrastive Learning
• [cs.CV]What leads to generalization of object proposals?
• [cs.CY]Analyzing Who and What Appears in a Decade of US Cable TV News
• [cs.CY]Creativity in the era of artificial intelligence
• [cs.CY]The Past, Present, and Future of COVID-19: A Data-Driven Perspective
• [cs.CY]The Right Tools for the Job: The Case for Spatial Science Tool-Building
• [cs.DC]A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations
• [cs.DC]Blockchain applications in Healthcare: A model for research
• [cs.DC]Performance Characterization and Bottleneck Analysis of Hyperledger Fabric
• [cs.DC]Phone2Cloud: Exploiting Computation Offloading for Energy Saving on Smartphones in Mobile Cloud Computing
• [cs.DC]Strategies for Efficient Executions of Irregular Message-Driven Parallel Applications on GPU Systems
• [cs.DS]Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations
• [cs.GR]DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
• [cs.GR]Motion Similarity Modeling — A State of the Art Report
• [cs.GR]Procedural Urban Forestry
• [cs.HC]Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities
• [cs.HC]Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students
• [cs.HC]Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction
• [cs.IR]MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
• [cs.IR]The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
• [cs.IT]An Application-Driven Non-Orthogonal Multiple Access Enabled Computation Offloading Scheme
• [cs.IT]Channel Leakage and Fundamental Limits of Privacy Leakage for Streaming Data
• [cs.IT]FLCD: A Flexible Low Complexity Design of Coded Distributed Computing
• [cs.IT]Hardware Impaired Ambient Backscatter NOMA Systems: Reliability and Security
• [cs.IT]MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser mmWave Systems Relying on Tomlinson-Harashima Precoding
• [cs.IT]Secure Transmission in MIMO-NOMA Networks
• [cs.LG]A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models
• [cs.LG]A maximum value for the Kullback-Leibler divergence between quantum discrete distributions
• [cs.LG]An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
• [cs.LG]Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models
• [cs.LG]Deep-Lock: Secure Authorization for Deep Neural Networks
• [cs.LG]Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
• [cs.LG]Imitating Unknown Policies via Exploration
• [cs.LG]Learning Stability Certificates from Data
• [cs.LG]Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
• [cs.LG]Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
• [cs.LG]Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey
• [cs.LG]Model-Based Offline Planning
• [cs.LG]Non-Stochastic Control with Bandit Feedback
• [cs.LG]Offline Meta-Reinforcement Learning with Advantage Weighting
• [cs.LG]Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
• [cs.LG]Reinforcement Learning with Trajectory Feedback
• [cs.LG]Sequential recommendation with metric models based on frequent sequences
• [cs.LG]Single-Photon Image Classification
• [cs.LG]Small Towers Make Big Differences
• [cs.LG]So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning?
• [cs.LG]Statistical Evaluation of Anomaly Detectors for Sequences
• [cs.LG]The Slow Deterioration of the Generalization Error of the Random Feature Model
• [cs.LG]Training Faster with Compressed Gradient
• [cs.LG]Unifying supervised learning and VAEs — automating statistical inference in high-energy physics
• [cs.LG]Variance Regularization for Accelerating Stochastic Optimization
• [cs.LG]WAFFLe: Weight Anonymized Factorization for Federated Learning
• [cs.LG]Weight Equalizing Shift Scaler-Coupled Post-training Quantization
• [cs.LO]Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games
• [cs.LO]Equilibria for Games with Combined Qualitative and Quantitative Objectives
• [cs.LO]Multi-Player Games with LDL Goals over Finite Traces
• [cs.MM]Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning
• [cs.RO]A Tendon-driven Robot Gripper with Passively Switchable Underactuated Surface and its Physics Simulation Based Parameter Optimization
• [cs.RO]A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
• [cs.RO]Cloth Region Segmentation for Robust Grasp Selection
• [cs.RO]IDOL: A Framework for IMU-DVS Odometry using Lines
• [cs.RO]Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
• [cs.RO]Versatile Multilinked Aerial Robot with Tilting Propellers: Design, Modeling, Control and State Estimation for Autonomous Flight and Manipulation
• [cs.SD]Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion
• [cs.SE]Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
• [cs.SI]An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
• [cs.SI]Optimizing Graph Structure for Targeted Diffusion
• [econ.EM]On the Origin(s) and Development of “Big Data”: The Phenomenon, the Term, and the Discipline
• [eess.AS]Continuous Speech Separation with Conformer
• [eess.AS]Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition
• [eess.AS]Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification
• [eess.AS]Large-scale Transfer Learning for Low-resource Spoken Language Understanding
• [eess.AS]MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection
• [eess.AS]Online Automatic Speech Recognition with Listen, Attend and Spell Model
• [eess.AS]Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
• [eess.AS]Textual Echo Cancellation
• [eess.IV]AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
• [eess.IV]Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
• [eess.IV]Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
• [eess.IV]Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
• [eess.IV]Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
• [eess.IV]PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention
• [eess.IV]Revisiting Temporal Modeling for Video Super-resolution
• [eess.IV]Towards Modality Transferable Visual Information Representation with Optimal Model Compression
• [eess.SP]Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines
• [eess.SY]Dynamic Active Average Consensus and its Application in Containment Control
• [eess.SY]Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations
• [math-ph]Entropy Power Inequality in Fermionic Quantum Computation
• [math.OC]Conservative Stochastic Optimization with Expectation Constraints
• [math.OC]Convergence of Deep Fictitious Play for Stochastic Differential Games
• [math.OC]Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
• [math.OC]On the complexity of finding a local minimizer of a quadratic function over a polytope
• [math.PR]Fractional Poisson Processes of Order K
• [math.ST]Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis
• [math.ST]On the Phase Transition of Wilk’s Phenomenon
• [physics.ao-ph]A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance
• [physics.comp-ph]A community-powered search of machine learning strategy space to find NMR property prediction models
• [physics.med-ph]Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography
• [physics.soc-ph]Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors
• [q-bio.NC]Toward the quantification of cognition
• [q-bio.QM]GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis
• [q-fin.RM]SynthETIC: an individual insurance claim simulator with feature control
• [stat.AP]Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries
• [stat.AP]Risk Measures Estimation Under Wasserstein Barycenter
• [stat.CO]ScoreDrivenModels.jl: a Julia Package for Generalized Autoregressive Score Models
• [stat.ME]A few brief notes on the equivalence of two expressions for statistical significance in point source detections
• [stat.ME]An Interventionist Approach to Mediation Analysis
• [stat.ME]An information criterion for automatic gradient tree boosting
• [stat.ME]Conditional Inferences Based on Vine Copulas with Applications to Credit Spread Data of Corporate Bonds
• [stat.ME]Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
• [stat.ME]Improving the Power of the Randomization Test
• [stat.ME]Linear pooling of sample covariance matrices
• [stat.ME]Multivariate Counterfactual Systems And Causal Graphical Models
• [stat.ME]Predictive-Adjusted Indirect Comparison: A Novel Method for Population Adjustment with Limited Access to Patient-Level Data
• [stat.ME]Sensitivity Analysis of Error-Contaminated Time Series Data under Autoregressive Models with Application of COVID-19 Data
• [stat.ME]Stationary vine copula models for multivariate time series
• [stat.ML]A statistical theory of cold posteriors in deep neural networks
• [stat.ML]A statistical theory of semi-supervised learning
• [stat.ML]Metrics for Multi-Class Classification: an Overview
• [stat.ML]Reparametrization Invariance in non-parametric Causal Discovery
·····································
• [cs.AI]Deceptive Kernel Function on Observations of Discrete POMDP
Zhili Zhang, Quanyan Zhu
http://arxiv.org/abs/2008.05585v1
• [cs.AI]Process Discovery for Structured Program Synthesis
Dell Zhang, Alexander Kuhnle, Julian Richardson, Murat Sensoy
http://arxiv.org/abs/2008.05804v1
• [cs.CL]Cognitive Representation Learning of Self-Media Online Article Quality
Yiru Wang, Shen Huang, Gongfu Li, Qiang Deng, Dongliang Liao, Pengda Si, Yujiu Yang, Jin Xu
http://arxiv.org/abs/2008.05658v1
• [cs.CL]Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?
Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang
http://arxiv.org/abs/2008.05925v1
• [cs.CL]Compression of Deep Learning Models for Text: A Survey
Manish Gupta, Puneet Agrawal
http://arxiv.org/abs/2008.05221v2
• [cs.CL]Dialogue State Induction Using Neural Latent Variable Models
Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang
http://arxiv.org/abs/2008.05666v1
• [cs.CL]Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Isaiah Onando Mulang’, Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann
http://arxiv.org/abs/2008.05190v2
• [cs.CL]Exploration of Gender Differences in COVID-19 Discourse on Reddit
Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson
http://arxiv.org/abs/2008.05713v1
• [cs.CL]MASRI-HEADSET: A Maltese Corpus for Speech Recognition
Carlos Mena, Albert Gatt, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Amanda Muscat, Ian Padovani
http://arxiv.org/abs/2008.05760v1
• [cs.CL]MICE: Mining Idioms with Contextual Embeddings
Tadej Škvorc, Polona Gantar, Marko Robnik-Šikonja
http://arxiv.org/abs/2008.05759v1
• [cs.CL]On the Importance of Local Information in Transformer Based Models
Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
http://arxiv.org/abs/2008.05828v1
• [cs.CL]Ranking Enhanced Dialogue Generation
Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
http://arxiv.org/abs/2008.05640v1
• [cs.CL]Semantics-preserving adversarial attacks in NLP
Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
http://arxiv.org/abs/2008.05536v1
• [cs.CR]LAC : LSTM AUTOENCODER with Community for Insider Threat Detection
Sudipta Paul, Subhankar Mishra
http://arxiv.org/abs/2008.05646v1
• [cs.CV]Adversarial Knowledge Transfer from Unlabeled Data
Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2008.05746v1
• [cs.CV]Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
Xixia Xu, Qi Zou, Xue Lin
http://arxiv.org/abs/2008.05717v1
• [cs.CV]An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition
Kenneth Lai, Svetlana Yanushkevich
http://arxiv.org/abs/2008.05732v1
• [cs.CV]Attention-based Fully Gated Conventional Recurrent Neural Network for Russian Handwritten Text
Abdelrahman Abdallah, Mohamed Hamada, Daniyar Nurseitov
http://arxiv.org/abs/2008.05373v2
• [cs.CV]BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli
http://arxiv.org/abs/2008.06021v1
• [cs.CV]Black Magic in Deep Learning: How Human Skill Impacts Network Training
Kanav Anand, Ziqi Wang, Marco Loog, Jan van Gemert
http://arxiv.org/abs/2008.05981v1
• [cs.CV]Co-training for On-board Deep Object Detection
Gabriel Villalonga, Antonio M. Lopez
http://arxiv.org/abs/2008.05534v1
• [cs.CV]Contextual Diversity for Active Learning
Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
http://arxiv.org/abs/2008.05723v1
• [cs.CV]Continual Class Incremental Learning for CT Thoracic Segmentation
Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Josep Henry, Paul Thomson, Nassir Navab
http://arxiv.org/abs/2008.05557v1
• [cs.CV]CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee, Jong Chul Ye
http://arxiv.org/abs/2008.05772v1
• [cs.CV]DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
Ming Tao, Hao Tang, Songsong Wu, Nicu Sebe, Fei Wu, Xiao-Yuan Jing
http://arxiv.org/abs/2008.05865v1
• [cs.CV]DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
Xingxun Jiang, Yuan Zong, Wenming Zheng, Chuangao Tang, Wanchuang Xia, Cheng Lu, Jiateng Liu
http://arxiv.org/abs/2008.05924v1
• [cs.CV]DSDNet: Deep Structured self-Driving Network
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun
http://arxiv.org/abs/2008.06041v1
• [cs.CV]End-to-end Contextual Perception and Prediction with Interaction Transformer
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
http://arxiv.org/abs/2008.05927v1
• [cs.CV]ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis
Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
http://arxiv.org/abs/2008.05731v1
• [cs.CV]Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning
Bita Houshmand, Naimul Khan
http://arxiv.org/abs/2008.05563v1
• [cs.CV]Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
Md Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
http://arxiv.org/abs/2008.05667v1
• [cs.CV]Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
Homagni Saha, Sin Yon Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar
http://arxiv.org/abs/2008.05654v1
• [cs.CV]Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan
http://arxiv.org/abs/2008.05676v1
• [cs.CV]Free View Synthesis
Gernot Riegler, Vladlen Koltun
http://arxiv.org/abs/2008.05511v1
• [cs.CV]Full-Body Awareness from Partial Observations
Chris Rockwell, David F. Fouhey
http://arxiv.org/abs/2008.06046v1
• [cs.CV]Generating Person-Scene Interactions in 3D Scenes
Siwei Zhang, Yan Zhang, Qianli Ma, Michael J. Black, Siyu Tang
http://arxiv.org/abs/2008.05570v1
• [cs.CV]Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, Jian-Huang Lai
http://arxiv.org/abs/2008.05977v1
• [cs.CV]ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang
http://arxiv.org/abs/2008.05655v1
• [cs.CV]Image segmentation via Cellular Automata
Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agúera y Arcas
http://arxiv.org/abs/2008.04965v2
• [cs.CV]LGNN: a Context-aware Line Segment Detector
Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu
http://arxiv.org/abs/2008.05892v1
• [cs.CV]Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
Taeoh Kim, Hyeongmin Lee, MyeongAh Cho, Ho Seong Lee, Dong Heon Cho, Sangyoun Lee
http://arxiv.org/abs/2008.05721v1
• [cs.CV]Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
Jonah Philion, Sanja Fidler
http://arxiv.org/abs/2008.05711v1
• [cs.CV]Localizing the Common Action Among a Few Videos
Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek
http://arxiv.org/abs/2008.05826v1
• [cs.CV]Mitigating Dataset Imbalance via Joint Generation and Classification
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogerio Feris, Abir Das
http://arxiv.org/abs/2008.05524v1
• [cs.CV]Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture
Keyu Chen, Jianmin Zheng, Jianfei Cai, Juyong Zhang
http://arxiv.org/abs/2008.05714v1
• [cs.CV]Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal
Zeeshan Ahmad, Naimul Khan
http://arxiv.org/abs/2008.05503v1
• [cs.CV]Network Architecture Search for Domain Adaptation
Yichen Li, Xingchao Peng
http://arxiv.org/abs/2008.05706v1
• [cs.CV]On failures of RGB cameras and their effects in autonomous driving applications
Francesco Secci, Andrea Ceccarelli
http://arxiv.org/abs/2008.05938v1
• [cs.CV]Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes
Istan Gergo Gal, Daniel Barath, Levente Hajder
http://arxiv.org/abs/2008.05743v1
• [cs.CV]Powers of layers for image-to-image translation
Hugo Touvron, Matthijs Douze, Matthieu Cord, Hervé Jégou
http://arxiv.org/abs/2008.05763v1
• [cs.CV]Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings
Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov
http://arxiv.org/abs/2008.05785v1
• [cs.CV]Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
Hongyuan Yu, Yan Huang, Lihong Pi, Liang Wang
http://arxiv.org/abs/2008.05856v1
• [cs.CV]Reliability of Decision Support in Cross-spectral Biometric-enabled Systems
Kenneth Lai, Svetlana N. Yanushkevich, Vlad Shmerko
http://arxiv.org/abs/2008.05735v1
• [cs.CV]Robust Image Matching By Dynamic Feature Selection
Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang
http://arxiv.org/abs/2008.05708v1
• [cs.CV]SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
Mona Jalal, Josef Spjut, Ben Boudaoud, Margrit Betke
http://arxiv.org/abs/2008.05955v1
• [cs.CV]Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir Rajpoot
http://arxiv.org/abs/2008.05571v1
• [cs.CV]Self-supervised Video Representation Learning by Pace Prediction
Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu
http://arxiv.org/abs/2008.05861v1
• [cs.CV]Shift Equivariance in Object Detection
Marco Manfredi, Yu Wang
http://arxiv.org/abs/2008.05787v1
• [cs.CV]SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images
Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia
http://arxiv.org/abs/2008.05742v1
• [cs.CV]Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian
http://arxiv.org/abs/2008.05657v1
• [cs.CV]Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
http://arxiv.org/abs/2008.06020v1
• [cs.CV]Towards Visually Explaining Similarity Models
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
http://arxiv.org/abs/2008.06035v1
• [cs.CV]Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Chen
http://arxiv.org/abs/2008.05678v1
• [cs.CV]We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva
http://arxiv.org/abs/2008.05596v1
• [cs.CV]Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
Chen Li, Gim Hee Lee
http://arxiv.org/abs/2008.05770v1
• [cs.CV]What Should Not Be Contrastive in Contrastive Learning
Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell
http://arxiv.org/abs/2008.05659v1
• [cs.CV]What leads to generalization of object proposals?
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
http://arxiv.org/abs/2008.05700v1
• [cs.CY]Analyzing Who and What Appears in a Decade of US Cable TV News
James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
http://arxiv.org/abs/2008.06007v1
• [cs.CY]Creativity in the era of artificial intelligence
Philippe Esling, Ninon Devis
http://arxiv.org/abs/2008.05959v1
• [cs.CY]The Past, Present, and Future of COVID-19: A Data-Driven Perspective
Ajwad Akil, Ishrat Jahan Eliza, Md. Hasibul Hussain Hisham, Fahim Morshed, Nazmus Sakib, Nuwaisir Rabi, Abir Mohammad Turza, Sriram Chellappan, A. B. M. Alim Al Islam
http://arxiv.org/abs/2008.05531v1
• [cs.CY]The Right Tools for the Job: The Case for Spatial Science Tool-Building
Geoff Boeing
http://arxiv.org/abs/2008.05561v1
• [cs.DC]A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations
Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali
http://arxiv.org/abs/2008.05718v1
• [cs.DC]Blockchain applications in Healthcare: A model for research
Amir Hussain Zolfaghari, Herbert Daly, Mahdi Nasiri, Roxana Sharifian
http://arxiv.org/abs/2008.05683v1
• [cs.DC]Performance Characterization and Bottleneck Analysis of Hyperledger Fabric
Canhui Wang, Xiaowen Chu
http://arxiv.org/abs/2008.05946v1
• [cs.DC]Phone2Cloud: Exploiting Computation Offloading for Energy Saving on Smartphones in Mobile Cloud Computing
Feng Xia, Fangwei Ding, Jie Li, Xiangjie Kong, Laurence T. Yang, Jianhua Ma
http://arxiv.org/abs/2008.05851v1
• [cs.DC]Strategies for Efficient Executions of Irregular Message-Driven Parallel Applications on GPU Systems
Vasudevan Rengasamy, Sathish Vadhiyar
http://arxiv.org/abs/2008.05712v1
• [cs.DS]Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations
Alexander Gellner, Sebastian Lamm, Christian Schulz, Darren Strash, Bogdán Zaválnij
http://arxiv.org/abs/2008.05180v2
• [cs.GR]DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
http://arxiv.org/abs/2008.05440v1
• [cs.GR]Motion Similarity Modeling — A State of the Art Report
Anna Sebernegg, Peter Kán, Hannes Kaufmann
http://arxiv.org/abs/2008.05872v1
• [cs.GR]Procedural Urban Forestry
Till Niese, Sören Pirk, Bedrich Benes, Oliver Deussen
http://arxiv.org/abs/2008.05567v1
• [cs.HC]Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine Oliveira, Lei Shi, Craig Stewart
http://arxiv.org/abs/2008.05849v1
• [cs.HC]Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students
Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira
http://arxiv.org/abs/2008.05850v1
• [cs.HC]Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction
Marcus M. Scheunemann, Raymond H. Cuijpers, Christoph Salge
http://arxiv.org/abs/2008.05799v1
• [cs.IR]MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
http://arxiv.org/abs/2008.05673v1
• [cs.IR]The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
http://arxiv.org/abs/2008.05701v1
• [cs.IT]An Application-Driven Non-Orthogonal Multiple Access Enabled Computation Offloading Scheme
Qiqi Ren, Jian Chen, Omid Abbasi, Gunes Karabulut Kurt, Halim Yanikomeroglu, F. Richard Yu
http://arxiv.org/abs/2008.05510v1
• [cs.IT]Channel Leakage and Fundamental Limits of Privacy Leakage for Streaming Data
Song Fang, Quanyan Zhu
http://arxiv.org/abs/2008.04893v2
• [cs.IT]FLCD: A Flexible Low Complexity Design of Coded Distributed Computing
Nicholas Woolsey, Xingyue Wang, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/2008.05631v1
• [cs.IT]Hardware Impaired Ambient Backscatter NOMA Systems: Reliability and Security
Xingwang Li, Mengle Zhao, Ming Zeng, Shahid Mumtaz, Varun G Menon, Zhiguo Ding, Octavia A. Dobre
http://arxiv.org/abs/2008.05798v1
• [cs.IT]MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser mmWave Systems Relying on Tomlinson-Harashima Precoding
Kaidi Xu, Yunlong Cai, Minjian Zhao, Yong Niu, Lajos Hanzo
http://arxiv.org/abs/2008.05860v1
• [cs.IT]Secure Transmission in MIMO-NOMA Networks
Yue Qi, Mojtaba Vaezi
http://arxiv.org/abs/2008.05923v1
• [cs.LG]A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models
Pramod Vadiraja, Muhammad Ali Chattha
http://arxiv.org/abs/2008.05972v1
• [cs.LG]A maximum value for the Kullback-Leibler divergence between quantum discrete distributions
Vincenzo Bonnici
http://arxiv.org/abs/2008.05932v1
• [cs.LG]An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
Anika Tabassum, Naimul Khan
http://arxiv.org/abs/2008.05566v1
• [cs.LG]Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models
Swayamjit Saha, Niladri Majumder, Devansh Sangani
http://arxiv.org/abs/2008.05575v1
• [cs.LG]Deep-Lock: Secure Authorization for Deep Neural Networks
Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu
http://arxiv.org/abs/2008.05966v1
• [cs.LG]Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Joao Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska
http://arxiv.org/abs/2008.05803v1
• [cs.LG]Imitating Unknown Policies via Exploration
Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
http://arxiv.org/abs/2008.05660v1
• [cs.LG]Learning Stability Certificates from Data
Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
http://arxiv.org/abs/2008.05952v1
• [cs.LG]Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He
http://arxiv.org/abs/2008.05880v1
• [cs.LG]Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling
Nishant Yadav, Sai Ravela, Auroop R. Ganguly
http://arxiv.org/abs/2008.05590v1
• [cs.LG]Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat, Walter Kosters, Mike Preuss
http://arxiv.org/abs/2008.05598v1
• [cs.LG]Model-Based Offline Planning
Arthur Argenson, Gabriel Dulac-Arnold
http://arxiv.org/abs/2008.05556v1
• [cs.LG]Non-Stochastic Control with Bandit Feedback
Paula Gradu, John Hallman, Elad Hazan
http://arxiv.org/abs/2008.05523v1
• [cs.LG]Offline Meta-Reinforcement Learning with Advantage Weighting
Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn
http://arxiv.org/abs/2008.06043v1
• [cs.LG]Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Phillip Swazinna, Steffen Udluft, Thomas Runkler
http://arxiv.org/abs/2008.05533v1
• [cs.LG]Reinforcement Learning with Trajectory Feedback
Yonathan Efroni, Nadav Merlis, Shie Mannor
http://arxiv.org/abs/2008.06036v1
• [cs.LG]Sequential recommendation with metric models based on frequent sequences
Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
http://arxiv.org/abs/2008.05587v1
• [cs.LG]Single-Photon Image Classification
Thomas Fischbacher, Luciano Sbaiz
http://arxiv.org/abs/2008.05859v1
• [cs.LG]Small Towers Make Big Differences
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi
http://arxiv.org/abs/2008.05808v1
• [cs.LG]So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning?
Md Fahimuzzman Sohan
http://arxiv.org/abs/2008.05906v1
• [cs.LG]Statistical Evaluation of Anomaly Detectors for Sequences
Erik Scharwächter, Emmanuel Müller
http://arxiv.org/abs/2008.05788v1
• [cs.LG]The Slow Deterioration of the Generalization Error of the Random Feature Model
Chao Ma, Lei Wu, Weinan E
http://arxiv.org/abs/2008.05621v1
• [cs.LG]Training Faster with Compressed Gradient
An Xu, Zhouyuan Huo, Heng Huang
http://arxiv.org/abs/2008.05823v1
• [cs.LG]Unifying supervised learning and VAEs — automating statistical inference in high-energy physics
Thorsten Glüsenkamp
http://arxiv.org/abs/2008.05825v1
• [cs.LG]Variance Regularization for Accelerating Stochastic Optimization
Tong Yang, Long Sha, Pengyu Hong
http://arxiv.org/abs/2008.05969v1
• [cs.LG]WAFFLe: Weight Anonymized Factorization for Federated Learning
Weituo Hao, Nikhil Mehta, Kevin J Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin
http://arxiv.org/abs/2008.05687v1
• [cs.LG]Weight Equalizing Shift Scaler-Coupled Post-training Quantization
Jihun Oh, SangJeong Lee, Meejeong Park, Pooni Walagaurav, Kiseok Kwon
http://arxiv.org/abs/2008.05767v1
• [cs.LO]Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games
Julian Gutierrez, Muhammad Najib, Giuseppe Perelli, Michael Wooldridge
http://arxiv.org/abs/2008.05638v1
• [cs.LO]Equilibria for Games with Combined Qualitative and Quantitative Objectives
Julian Gutierrez, Aniello Murano, Giuseppe Perelli, Sasha Rubin, Thomas Steeples, Michael Wooldridge
http://arxiv.org/abs/2008.05643v1
• [cs.LO]Multi-Player Games with LDL Goals over Finite Traces
Julian Gutierrez, Giuseppe Perelli, Michael Wooldridge
http://arxiv.org/abs/2008.05647v1
• [cs.MM]Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning
Ying Cheng, Ruize Wang, Zhihao Pan, Rui Feng, Yuejie Zhang
http://arxiv.org/abs/2008.05789v1
• [cs.RO]A Tendon-driven Robot Gripper with Passively Switchable Underactuated Surface and its Physics Simulation Based Parameter Optimization
Tianyi Ko
http://arxiv.org/abs/2008.05777v1
• [cs.RO]A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil
http://arxiv.org/abs/2008.05699v1
• [cs.RO]Cloth Region Segmentation for Robust Grasp Selection
Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held
http://arxiv.org/abs/2008.05626v1
• [cs.RO]IDOL: A Framework for IMU-DVS Odometry using Lines
Cedric Le Gentil, Florian Tschopp, Ignacio Alzugaray, Teresa Vidal-Calleja, Roland Siegwart, Juan Nieto
http://arxiv.org/abs/2008.05749v1
• [cs.RO]Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
http://arxiv.org/abs/2008.05930v1
• [cs.RO]Versatile Multilinked Aerial Robot with Tilting Propellers: Design, Modeling, Control and State Estimation for Autonomous Flight and Manipulation
Moju Zhao, Tomoki Anzai, Fan Shi, Toshiya Maki, Takuzumi Nishio, Keita Ito, Naoya Kuromiya, Kei Okada, Masayuki Inaba
http://arxiv.org/abs/2008.05613v1
• [cs.SD]Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion
Dipjyoti Paul, Muhammed PV Shifas, Yannis Pantazis, Yannis Stylianou
http://arxiv.org/abs/2008.05809v1
• [cs.SE]Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
Simin Wang, Liguo Huang, Jidong Ge, Tengfei Zhang, Haitao Feng, Ming Li, He Zhang, Vincent Ng
http://arxiv.org/abs/2008.05515v1
• [cs.SI]An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
Ninghan Chen, Zhiqiang Zhong, Jun Pang
http://arxiv.org/abs/2008.05900v1
• [cs.SI]Optimizing Graph Structure for Targeted Diffusion
Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
http://arxiv.org/abs/2008.05589v1
• [econ.EM]On the Origin(s) and Development of “Big Data”: The Phenomenon, the Term, and the Discipline
Francis X. Diebold
http://arxiv.org/abs/2008.05835v1
• [eess.AS]Continuous Speech Separation with Conformer
Sanyuan Chen, Yu Wu, Zhuo Chen, Jinyu Li, Chengyi Wang, Shujie Liu, Ming Zhou
http://arxiv.org/abs/2008.05773v1
• [eess.AS]Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition
Wenyong Huang, Wenchao Hu, Yu Ting Yeung, Xiao Chen
http://arxiv.org/abs/2008.05750v1
• [eess.AS]Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification
Xiaoyang Qu, Jianzong Wang, Jing Xiao
http://arxiv.org/abs/2008.05695v1
• [eess.AS]Large-scale Transfer Learning for Low-resource Spoken Language Understanding
Xueli Jia, Jianzong Wang, Zhiyong Zhang, Ning Cheng, Jing Xiao
http://arxiv.org/abs/2008.05671v1
• [eess.AS]MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection
Zhenpeng Zheng, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao
http://arxiv.org/abs/2008.05650v1
• [eess.AS]Online Automatic Speech Recognition with Listen, Attend and Spell Model
Roger Hsiao, Dogan Can, Tim Ng, Ruchir Travadi, Arnab Ghoshal
http://arxiv.org/abs/2008.05514v1
• [eess.AS]Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao
http://arxiv.org/abs/2008.05656v1
• [eess.AS]Textual Echo Cancellation
Shaojin Ding, Ye Jia, Ke Hu, Quan Wang
http://arxiv.org/abs/2008.06006v1
• [eess.IV]AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
Jawook Gu, Jong Chul Ye
http://arxiv.org/abs/2008.05753v1
• [eess.IV]Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J Berkowitz
http://arxiv.org/abs/2008.05975v1
• [eess.IV]Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Uğurbil, Mehmet Akçakaya
http://arxiv.org/abs/2008.06029v1
• [eess.IV]Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang
http://arxiv.org/abs/2008.05780v1
• [eess.IV]Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann
http://arxiv.org/abs/2008.05867v1
• [eess.IV]PneumoXttention: A CNN compensating for Human Fallibility when Detecting Pneumonia through CXR images with Attention
Sanskriti Singh
http://arxiv.org/abs/2008.04907v1
• [eess.IV]Revisiting Temporal Modeling for Video Super-resolution
Takashi Isobe, Fang Zhu, Shengjin Wang
http://arxiv.org/abs/2008.05765v1
• [eess.IV]Towards Modality Transferable Visual Information Representation with Optimal Model Compression
Rongqun Lin, Linwei Zhu, Shiqi Wang, Sam Kwong
http://arxiv.org/abs/2008.05642v1
• [eess.SP]Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines
Chi-Ching Hsu, Gabriel Michau, Olga Fink
http://arxiv.org/abs/2008.05838v1
• [eess.SY]Dynamic Active Average Consensus and its Application in Containment Control
Yi-Fan Chung, Solmaz S. Kia
http://arxiv.org/abs/2008.05722v1
• [eess.SY]Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations
Elena Arcari, Andrea Carron, Melanie N. Zeilinger
http://arxiv.org/abs/2008.05984v1
• [math-ph]Entropy Power Inequality in Fermionic Quantum Computation
N. J. B. Aza, D. A. Barbosa T
http://arxiv.org/abs/2008.05532v1
• [math.OC]Conservative Stochastic Optimization with Expectation Constraints
Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
http://arxiv.org/abs/2008.05758v1
• [math.OC]Convergence of Deep Fictitious Play for Stochastic Differential Games
Jiequn Han, Ruimeng Hu, Jihao Long
http://arxiv.org/abs/2008.05519v1
• [math.OC]Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar
http://arxiv.org/abs/2008.05730v1
• [math.OC]On the complexity of finding a local minimizer of a quadratic function over a polytope
Amir Ali Ahmadi, Jeffrey Zhang
http://arxiv.org/abs/2008.05558v1
• [math.PR]Fractional Poisson Processes of Order K
Neha Gupta, Arun Kumar
http://arxiv.org/abs/2008.06022v1
• [math.ST]Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis
Valentin De Bortoli, Alain Durmus, Ana F. Vidal, Marcelo Pereyra
http://arxiv.org/abs/2008.05793v1
• [math.ST]On the Phase Transition of Wilk’s Phenomenon
Yinqiu He, Bo Meng, Zhenghao Zeng, Gongjun Xu
http://arxiv.org/abs/2008.05974v1
• [physics.ao-ph]A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance
Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman
http://arxiv.org/abs/2008.05987v1
• [physics.comp-ph]A community-powered search of machine learning strategy space to find NMR property prediction models
Lars A. Bratholm, Will Gerrard, Brandon Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants
http://arxiv.org/abs/2008.05994v1
• [physics.med-ph]Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography
Patrick Leydon, Martin O’Connell, Derek Greene, Kathleen M Curran
http://arxiv.org/abs/2008.05223v2
• [physics.soc-ph]Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors
Rui Tang, Zhenxiong Miao, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Mingyong Yin, Wei Wang
http://arxiv.org/abs/2008.05212v2
• [q-bio.NC]Toward the quantification of cognition
Richard Granger
http://arxiv.org/abs/2008.05580v1
• [q-bio.QM]GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis
Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim Conrad
http://arxiv.org/abs/2008.05903v1
• [q-fin.RM]SynthETIC: an individual insurance claim simulator with feature control
Benjamin Avanzi, Gregory Clive Taylor, Melantha Wang, Bernard Wong
http://arxiv.org/abs/2008.05693v1
• [stat.AP]Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries
Shuang Yin, Dipak K. Dey, Emiliano A. Valdez, Xiaomeng Li
http://arxiv.org/abs/2008.05968v1
• [stat.AP]Risk Measures Estimation Under Wasserstein Barycenter
M. Andrea Arias-Serna, Jean-Michel Loubes, Francisco J. Caro-Lopera
http://arxiv.org/abs/2008.05824v1
• [stat.CO]ScoreDrivenModels.jl: a Julia Package for Generalized Autoregressive Score Models
Guilherme Bodin, Raphael Saavedra, Cristiano Fernandes, Alexandre Street
http://arxiv.org/abs/2008.05506v1
• [stat.ME]A few brief notes on the equivalence of two expressions for statistical significance in point source detections
James Theiler
http://arxiv.org/abs/2008.05574v1
• [stat.ME]An Interventionist Approach to Mediation Analysis
James M. Robins, Thomas S. Richardson, Ilya Shpitser
http://arxiv.org/abs/2008.06019v1
• [stat.ME]An information criterion for automatic gradient tree boosting
Berent Ånund Strømnes Lunde, Tore Selland Kleppe, Hans Julius Skaug
http://arxiv.org/abs/2008.05926v1
• [stat.ME]Conditional Inferences Based on Vine Copulas with Applications to Credit Spread Data of Corporate Bonds
Shenyi Pan, Harry Joe, Guofu Li
http://arxiv.org/abs/2008.05606v1
• [stat.ME]Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
Yiou Li, Lulu Kang, Xiao Huang
http://arxiv.org/abs/2008.05578v1
• [stat.ME]Improving the Power of the Randomization Test
Abba M. Krieger, David Azriel, Michael Sklar, Adam Kapelner
http://arxiv.org/abs/2008.05980v1
• [stat.ME]Linear pooling of sample covariance matrices
Elias Raninen, David E. Tyler, Esa Ollila
http://arxiv.org/abs/2008.05854v1
• [stat.ME]Multivariate Counterfactual Systems And Causal Graphical Models
Ilya Shpitser, Thomas S. Richardson, James M. Robins
http://arxiv.org/abs/2008.06017v1
• [stat.ME]Predictive-Adjusted Indirect Comparison: A Novel Method for Population Adjustment with Limited Access to Patient-Level Data
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
http://arxiv.org/abs/2008.05951v1
• [stat.ME]Sensitivity Analysis of Error-Contaminated Time Series Data under Autoregressive Models with Application of COVID-19 Data
Qihuang Zhang, Grace Y. Yi
http://arxiv.org/abs/2008.05649v1
• [stat.ME]Stationary vine copula models for multivariate time series
Thomas Nagler, Daniel Krüger, Aleksey Min
http://arxiv.org/abs/2008.05990v1
• [stat.ML]A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
http://arxiv.org/abs/2008.05912v1
• [stat.ML]A statistical theory of semi-supervised learning
Laurence Aitchison
http://arxiv.org/abs/2008.05913v1
• [stat.ML]Metrics for Multi-Class Classification: an Overview
Margherita Grandini, Enrico Bagli, Giorgio Visani
http://arxiv.org/abs/2008.05756v1
• [stat.ML]Reparametrization Invariance in non-parametric Causal Discovery
Martin Jørgensen, Søren Hauberg
http://arxiv.org/abs/2008.05552v1
若有收获，就点个赞吧
0 人点赞
