astro-ph.CO - 宇宙学和天体物理学
cond-mat.dis-nn - 无序系统与神经网络 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared
• [astro-ph.CO]Building Halo Merger Trees from the Q Continuum Simulation
• [cond-mat.dis-nn]Structure Learning in Inverse Ising Problems Using $\ell_2$-Regularized Linear Estimator
• [cs.AI]A Survey of Knowledge-based Sequential Decision Making under Uncertainty
• [cs.AI]Commonsense Knowledge in Wikidata
• [cs.AI]Deploying Lifelong Open-Domain Dialogue Learning
• [cs.AI]Tractable Inference in Credal Sentential Decision Diagrams
• [cs.AI]Using Sampling Strategy to Assist Consensus Sequence Analysis
• [cs.CL]BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models
• [cs.CL]FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
• [cs.CL]Transformer based Multilingual document Embedding model
• [cs.CL]UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information
• [cs.CL]Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
• [cs.CR]Clustering and Analysis of Vulnerabilities Present in Different Robot Types
• [cs.CR]Fingerprinting Search Keywords over HTTPS at Scale
• [cs.CR]Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values
• [cs.CR]Toward Smart Security Enhancement of Federated Learning Networks
• [cs.CV]A Color Elastica Model for Vector-Valued Image Regularization
• [cs.CV]Anchor-free Small-scale Multispectral Pedestrian Detection
• [cs.CV]Attribute Prototype Network for Zero-Shot Learning
• [cs.CV]Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
• [cs.CV]CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
• [cs.CV]CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
• [cs.CV]Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
• [cs.CV]Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks
• [cs.CV]CosyPose: Consistent multi-view multi-object 6D pose estimation
• [cs.CV]Cross-Domain Identification for Thermal-to-Visible Face Recognition
• [cs.CV]Deep Relighting Networks for Image Light Source Manipulation
• [cs.CV]Deep Volumetric Ambient Occlusion
• [cs.CV]DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling
• [cs.CV]DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
• [cs.CV]Discovering Multi-Hardware Mobile Models via Architecture Search
• [cs.CV]EASTER: Efficient and Scalable Text Recognizer
• [cs.CV]Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
• [cs.CV]Face Anti-Spoofing Via Disentangled Representation Learning
• [cs.CV]FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
• [cs.CV]Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images
• [cs.CV]How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
• [cs.CV]Human Body Model Fitting by Learned Gradient Descent
• [cs.CV]Instance-Aware Graph Convolutional Network for Multi-Label Classification
• [cs.CV]Learning Connectivity of Neural Networks from a Topological Perspective
• [cs.CV]Learning Trailer Moments in Full-Length Movies
• [cs.CV]Learning Tuple Compatibility for Conditional OutfitRecommendation
• [cs.CV]Learning to Generate Diverse Dance Motions with Transformer
• [cs.CV]MineNav: An Expandable Synthetic Dataset Based on Minecraft for Aircraft Visual Navigation
• [cs.CV]Motion Capture from Internet Videos
• [cs.CV]No-reference Quality Assessment with Unsupervised Domain Adaptation
• [cs.CV]Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
• [cs.CV]PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
• [cs.CV]Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
• [cs.CV]Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
• [cs.CV]Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
• [cs.CV]Robust Handwriting Recognition with Limited and Noisy Data
• [cs.CV]Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations
• [cs.CV]STAR: Sparse Trained Articulated Human Body Regressor
• [cs.CV]Scene Text Detection with Selected Anchor
• [cs.CV]SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
• [cs.CV]SoDA: Multi-Object Tracking with Soft Data Association
• [cs.CV]Stereo Plane SLAM Based on Intersecting Lines
• [cs.CV]TIDE: A General Toolbox for Identifying Object Detection Errors
• [cs.CV]TNT: Target-driveN Trajectory Prediction
• [cs.CV]Towards Class-incremental Object Detection with Nearest Mean of Exemplars
• [cs.CV]Towards Lightweight Lane Detection by Optimizing Spatial Embedding
• [cs.CV]Uncertainty-aware Self-supervised 3D Data Association
• [cs.CV]Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation
• [cs.CV]Visibility-aware Multi-view Stereo Network
• [cs.CV]Weakly Supervised Learning with Region and Box-level Annotations for Salient Instance Segmentation
• [cs.CY]A Theory Building Study of Enterprise Architecture Practices and Benefits
• [cs.CY]Assessing the Effectiveness of Using Live Interactions and Feedback to Increase Engagement in Online Learning
• [cs.CY]How to organize a hackathon — A planning kit
• [cs.CY]Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience
• [cs.DB]Scalable Blocking for Very Large Databases
• [cs.DC]AIPerf: Automated machine learning as an AI-HPC benchmark
• [cs.DC]An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions
• [cs.DC]Domain-specific Communication Optimization for Distributed DNN Training
• [cs.DC]End-to-End Predictions-Based Resource Management Framework for Supercomputer Jobs
• [cs.DC]FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
• [cs.DC]Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic
• [cs.DL]Berlin: A Quantitative View of the Structure of Institutional Scientific Collaborations
• [cs.DS]Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
• [cs.HC]Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring
• [cs.HC]Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation
• [cs.IR]E-commerce Recommendation with Weighted Expected Utility
• [cs.IR]Generating Categories for Sets of Entities
• [cs.IR]Leveraging Historical Interaction Data for Improving Conversational Recommender System
• [cs.IR]Popularity Bias in Recommendation: A Multi-stakeholder Perspective
• [cs.IR]Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
• [cs.IT]Analog Lagrange Coded Computing
• [cs.IT]Detection Probability in a Molecular Communication via Diffusion System with Multiple Fully-absorbing Receivers
• [cs.IT]Error-correcting Codes for Noisy Duplication Channels
• [cs.IT]Intelligent Reflecting Surface Assisted MISO Downlink: Channel Estimation and Asymptotic Analysis
• [cs.IT]Noncoherent OOK Symbol Detection with Supervised-Learning Approach for BCC
• [cs.IT]On CCZ-equivalence of the inverse function
• [cs.IT]Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model
• [cs.IT]Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
• [cs.IT]Statistical CSI based Design for Intelligent Reflecting Surface Assisted MISO Systems
• [cs.LG]Adaptive Multi-level Hyper-gradient Descent
• [cs.LG]Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
• [cs.LG]Automated Machine Learning — a brief review at the end of the early years
• [cs.LG]DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models
• [cs.LG]Data-Independent Structured Pruning of Neural Networks via Coresets
• [cs.LG]Demand Forecasting using Long Short-Term Memory Neural Networks
• [cs.LG]Differentially Private Sketches for Jaccard Similarity Estimation
• [cs.LG]MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
• [cs.LG]Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
• [cs.LG]NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks
• [cs.LG]On the Approximation Lower Bound for Neural Nets with Random Weights
• [cs.LG]Prevalence of Neural Collapse during the terminal phase of deep learning training
• [cs.LG]ReLU activated Multi-Layer Neural Networks trained with Mixed Integer Linear Programs
• [cs.LG]Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions
• [cs.LG]Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
• [cs.LG]Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference
• [cs.LG]Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
• [cs.LG]Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
• [cs.PL]Compiling ONNX Neural Network Models Using MLIR
• [cs.RO]Enabling Remote Whole-Body Control with 5G Edge Computing
• [cs.RO]Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
• [cs.RO]Problem of robotic precision cutting of the geometrically complex shape from an irregular honeycomb grid
• [cs.SE]Threshy: Supporting Safe Usage of Intelligent Web Services
• [cs.SI]Coordinated Behavior on Social Media in 2019 UK General Election
• [cs.SI]Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis
• [cs.SI]Holy Tweets: Exploring the Sharing of Quran on Twitter
• [cs.SI]Multiplex Graph Association Rules for Link Prediction
• [cs.SI]Quarantines as a Targeted Immunization Strategy
• [eess.AS]Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation
• [eess.AS]HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
• [eess.IV]”Name that manufacturer”. Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
• [eess.IV]Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
• [eess.IV]BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning
• [eess.IV]Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
• [eess.IV]DONet: Dual Objective Networks for Skin Lesion Segmentation
• [eess.IV]Deep Controllable Backlight Dimming
• [eess.IV]Enhanced MRI Reconstruction Network using Neural Architecture Search
• [eess.IV]Improving Blind Spot Denoising for Microscopy
• [eess.IV]LIRA: Lifelong Image Restoration from Unknown Blended Distortions
• [eess.IV]Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models
• [eess.SP]Intelligent Radio Signal Processing: A Contemporary Survey
• [eess.SP]One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing
• [eess.SY]Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs
• [math.OC]Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization
• [math.ST]Asymptotic Analysis for Data-Driven Inventory Policies
• [math.ST]Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models
• [physics.ao-ph]Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens
• [physics.chem-ph]Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning
• [physics.soc-ph]Covid-19 infodemic reveals new tipping point epidemiology and a revised $R$ formula
• [q-bio.NC]Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State Information
• [q-bio.PE]Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries
• [q-bio.PE]Virus Transmission Risk in Urban Rail Systems: A Microscopic Simulation-based Analysis of Spatio-temporal Characteristics
• [stat.AP]A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
• [stat.AP]Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
• [stat.AP]Long-Term Effect Estimation with Surrogate Representation
• [stat.AP]Seamless multi-model postprocessing for air temperature forecasts in complex topography
• [stat.AP]Spatiotemporal mapping of malaria prevalence in Madagascar using routine surveillance and health survey data
• [stat.AP]Synergy in fertility forecasting: Improving forecast accuracy through model averaging
• [stat.ME]Epidemic changepoint detection in the presence of nuisance changes
• [stat.ME]Observation on F.W.E.R. and F.D.R. for correlated normal
• [stat.ME]Simultaneous Diagnostic Testing for Linear-Nonlinear Dependence in Time Series
• [stat.ML]Bayesian deep learning: a new era for ‘big data’ geostatistics?
• [stat.ML]Bayesian geoacoustic inversion using mixture density network
• [stat.ML]Bayesian neural networks and dimensionality reduction
• [stat.ML]Improving predictions of Bayesian neural networks via local linearization
• [stat.ML]Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
• [stat.ML]Non-Canonical Hamiltonian Monte Carlo
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• [astro-ph.CO]A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared
Kaisey S. Mandel, Stephen Thorp, Gautham Narayan, Andrew S. Friedman, Arturo Avelino
http://arxiv.org/abs/2008.07538v2
• [astro-ph.CO]Building Halo Merger Trees from the Q Continuum Simulation
Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok Choudhary
http://arxiv.org/abs/2008.08519v1
• [cond-mat.dis-nn]Structure Learning in Inverse Ising Problems Using $\ell_2$-Regularized Linear Estimator
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
http://arxiv.org/abs/2008.08342v1
• [cs.AI]A Survey of Knowledge-based Sequential Decision Making under Uncertainty
Shiqi Zhang, Mohan Sridharan
http://arxiv.org/abs/2008.08548v1
• [cs.AI]Commonsense Knowledge in Wikidata
Filip Ilievski, Pedro Szekely, Daniel Schwabe
http://arxiv.org/abs/2008.08114v1
• [cs.AI]Deploying Lifelong Open-Domain Dialogue Learning
Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam, Jason Weston
http://arxiv.org/abs/2008.08076v2
• [cs.AI]Tractable Inference in Credal Sentential Decision Diagrams
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
http://arxiv.org/abs/2008.08524v1
• [cs.AI]Using Sampling Strategy to Assist Consensus Sequence Analysis
Zhichao Xu, Shuhong Chen
http://arxiv.org/abs/2008.08300v1
• [cs.CL]BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models
Lucas R. C. Pessutto, Tiago de Melo, Viviane P. Moreira, Altigran da Silva
http://arxiv.org/abs/2008.08439v1
• [cs.CL]FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo
http://arxiv.org/abs/2008.08315v1
• [cs.CL]Transformer based Multilingual document Embedding model
Wei Li, Brian Mak
http://arxiv.org/abs/2008.08567v1
• [cs.CL]UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information
Wah Meng Lim, Harish Tayyar Madabushi
http://arxiv.org/abs/2008.08547v1
• [cs.CL]Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
Victor R Martinez, Krishna Somendapalli, Karan Singla, Anil Ramanakrishna, Yalda T. Uhls, Shrikanth Narayanan
http://arxiv.org/abs/2008.08225v1
• [cs.CR]Clustering and Analysis of Vulnerabilities Present in Different Robot Types
Chinwe Ekenna, Bharvee Acharya
http://arxiv.org/abs/2008.08166v1
• [cs.CR]Fingerprinting Search Keywords over HTTPS at Scale
Junhua Yan, Hasan Faik Alan, Jasleen Kaur
http://arxiv.org/abs/2008.08161v1
• [cs.CR]Learning Attribute-Based and Relationship-Based Access Control Policies with Unknown Values
Thang Bui, Scott D. Stoller
http://arxiv.org/abs/2008.08444v1
• [cs.CR]Toward Smart Security Enhancement of Federated Learning Networks
Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato
http://arxiv.org/abs/2008.08330v1
• [cs.CV]A Color Elastica Model for Vector-Valued Image Regularization
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
http://arxiv.org/abs/2008.08255v1
• [cs.CV]Anchor-free Small-scale Multispectral Pedestrian Detection
Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz, Rainer Stiefelhagen
http://arxiv.org/abs/2008.08418v1
• [cs.CV]Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
http://arxiv.org/abs/2008.08290v1
• [cs.CV]Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei
http://arxiv.org/abs/2008.08528v1
• [cs.CV]CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Sharma, Hassan Foroosh
http://arxiv.org/abs/2008.08281v1
• [cs.CV]CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Ke Yan, Cong Yang
http://arxiv.org/abs/2008.08332v1
• [cs.CV]Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges
http://arxiv.org/abs/2008.08145v1
• [cs.CV]Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks
Xu Qian, Victor Li, Crews Darren
http://arxiv.org/abs/2008.08284v1
• [cs.CV]CosyPose: Consistent multi-view multi-object 6D pose estimation
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
http://arxiv.org/abs/2008.08465v1
• [cs.CV]Cross-Domain Identification for Thermal-to-Visible Face Recognition
Cedric Nimpa Fondje, Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan
http://arxiv.org/abs/2008.08473v1
• [cs.CV]Deep Relighting Networks for Image Light Source Manipulation
Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, Daniel P. K. Lun
http://arxiv.org/abs/2008.08298v1
• [cs.CV]Deep Volumetric Ambient Occlusion
Dominik Engel, Timo Ropinski
http://arxiv.org/abs/2008.08345v1
• [cs.CV]DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling
Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee
http://arxiv.org/abs/2008.08213v1
• [cs.CV]DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
http://arxiv.org/abs/2008.08136v1
• [cs.CV]Discovering Multi-Hardware Mobile Models via Architecture Search
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
http://arxiv.org/abs/2008.08178v1
• [cs.CV]EASTER: Efficient and Scalable Text Recognizer
Kartik Chaudhary, Raghav Bali
http://arxiv.org/abs/2008.07839v2
• [cs.CV]Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang
http://arxiv.org/abs/2008.08574v1
• [cs.CV]Face Anti-Spoofing Via Disentangled Representation Learning
Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma
http://arxiv.org/abs/2008.08250v1
• [cs.CV]FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
http://arxiv.org/abs/2008.08324v1
• [cs.CV]Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images
JooYeol Yun, JungWoo Oh, IlDong Yun
http://arxiv.org/abs/2008.08416v1
• [cs.CV]How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
Amanda Duarte, Shruti Palaskar, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giro-i-Nieto
http://arxiv.org/abs/2008.08143v1
• [cs.CV]Human Body Model Fitting by Learned Gradient Descent
Jie Song, Xu Chen, Otmar Hilliges
http://arxiv.org/abs/2008.08474v1
• [cs.CV]Instance-Aware Graph Convolutional Network for Multi-Label Classification
Yun Wang, Tong Zhang, Zhen Cui, Chunyan Xu, Jian Yang
http://arxiv.org/abs/2008.08407v1
• [cs.CV]Learning Connectivity of Neural Networks from a Topological Perspective
Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan
http://arxiv.org/abs/2008.08261v1
• [cs.CV]Learning Trailer Moments in Full-Length Movies
Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas
http://arxiv.org/abs/2008.08502v1
• [cs.CV]Learning Tuple Compatibility for Conditional OutfitRecommendation
Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
http://arxiv.org/abs/2008.08189v1
• [cs.CV]Learning to Generate Diverse Dance Motions with Transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li
http://arxiv.org/abs/2008.08171v1
• [cs.CV]MineNav: An Expandable Synthetic Dataset Based on Minecraft for Aircraft Visual Navigation
Dali Wang
http://arxiv.org/abs/2008.08454v1
• [cs.CV]Motion Capture from Internet Videos
Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao
http://arxiv.org/abs/2008.07931v2
• [cs.CV]No-reference Quality Assessment with Unsupervised Domain Adaptation
Baoliang Chen, Haoliang Li, Hongfei Fan, Shiqi Wang
http://arxiv.org/abs/2008.08561v1
• [cs.CV]Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
Zhaoyuan Fang, Adam Czajka
http://arxiv.org/abs/2008.08220v1
• [cs.CV]PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris Metaxas
http://arxiv.org/abs/2008.08194v1
• [cs.CV]Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi
http://arxiv.org/abs/2008.08563v1
• [cs.CV]Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei
http://arxiv.org/abs/2008.08360v1
• [cs.CV]Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
Zhu Zhang, Zhijie Lin, Zhou Zhao, Jieming Zhu, Xiuqiang He
http://arxiv.org/abs/2008.08257v1
• [cs.CV]Robust Handwriting Recognition with Limited and Noisy Data
Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabas Poczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
http://arxiv.org/abs/2008.08148v1
• [cs.CV]Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations
Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji
http://arxiv.org/abs/2008.08391v1
• [cs.CV]STAR: Sparse Trained Articulated Human Body Regressor
Ahmed A. A. Osman, Timo Bolkart, Michael J. Black
http://arxiv.org/abs/2008.08535v1
• [cs.CV]Scene Text Detection with Selected Anchor
Anna Zhu, Hang Du, Shengwu Xiong
http://arxiv.org/abs/2008.08523v1
• [cs.CV]SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
Asif Shahriyar Sushmit, Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid, Ahsan Habib Akash, Taufiq Hasan
http://arxiv.org/abs/2008.08452v1
• [cs.CV]SoDA: Multi-Object Tracking with Soft Data Association
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
http://arxiv.org/abs/2008.07725v2
• [cs.CV]Stereo Plane SLAM Based on Intersecting Lines
Xiaoyu Zhang, Wei Wang, Xianyu Qi, Ziwei Liao
http://arxiv.org/abs/2008.08218v1
• [cs.CV]TIDE: A General Toolbox for Identifying Object Detection Errors
Daniel Bolya, Sean Foley, James Hays, Judy Hoffman
http://arxiv.org/abs/2008.08115v1
• [cs.CV]TNT: Target-driveN Trajectory Prediction
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
http://arxiv.org/abs/2008.08294v1
• [cs.CV]Towards Class-incremental Object Detection with Nearest Mean of Exemplars
Sheng Ren, Yan He, Neal N. Xiong, Kehua Guo
http://arxiv.org/abs/2008.08336v1
• [cs.CV]Towards Lightweight Lane Detection by Optimizing Spatial Embedding
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo
http://arxiv.org/abs/2008.08311v1
• [cs.CV]Uncertainty-aware Self-supervised 3D Data Association
Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
http://arxiv.org/abs/2008.08173v1
• [cs.CV]Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation
Artjoms Gorpincenko, Geoffrey French, Michal Mackiewicz
http://arxiv.org/abs/2008.08369v1
• [cs.CV]Visibility-aware Multi-view Stereo Network
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang
http://arxiv.org/abs/2008.07928v2
• [cs.CV]Weakly Supervised Learning with Region and Box-level Annotations for Salient Instance Segmentation
Jialun Pei, He Tang, Chuanbo Chen
http://arxiv.org/abs/2008.08246v1
• [cs.CY]A Theory Building Study of Enterprise Architecture Practices and Benefits
Ralph Foorthuis, Marlies van Steenbergen, Sjaak Brinkkemper, Wiel Bruls
http://arxiv.org/abs/2008.08112v1
• [cs.CY]Assessing the Effectiveness of Using Live Interactions and Feedback to Increase Engagement in Online Learning
Beth Porter, Burcin Bozkaya
http://arxiv.org/abs/2008.08241v1
• [cs.CY]How to organize a hackathon — A planning kit
Alexander Nolte, Ei Pa Pa Pe-Than, Abasi-amefon Obot Affia, Chalalai Chaihirunkarn, Anna Filippova, Arun Kalyanasundaram, Maria Angelica Medina Angarita, Erik Trainer, James D. Herbsleb
http://arxiv.org/abs/2008.08025v2
• [cs.CY]Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience
Dan Wang, Arun Vishwanath, Ramesh Sitaraman, Iven Mareels
http://arxiv.org/abs/2008.08318v1
• [cs.DB]Scalable Blocking for Very Large Databases
Andrew Borthwick, Stephen Ash, Bin Pang, Shehzad Qureshi, Timothy Jones
http://arxiv.org/abs/2008.08285v1
• [cs.DC]AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen
http://arxiv.org/abs/2008.07141v2
• [cs.DC]An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions
Dongfang Zhao
http://arxiv.org/abs/2008.08208v1
• [cs.DC]Domain-specific Communication Optimization for Distributed DNN Training
Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang
http://arxiv.org/abs/2008.08445v1
• [cs.DC]End-to-End Predictions-Based Resource Management Framework for Supercomputer Jobs
Swetha Hariharan, Prakash Murali, Abhishek Pasari, Sathish Vadhiyar
http://arxiv.org/abs/2008.08292v1
• [cs.DC]FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
http://arxiv.org/abs/2008.08509v1
• [cs.DC]Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic
Yepeng Ding, Hiroyuki Sato
http://arxiv.org/abs/2008.08245v1
• [cs.DL]Berlin: A Quantitative View of the Structure of Institutional Scientific Collaborations
Aliakbar Akbaritabar
http://arxiv.org/abs/2008.08355v1
• [cs.DS]Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Lunjia Hu, Omer Reingold
http://arxiv.org/abs/2008.08071v2
• [cs.HC]Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring
Bahareh Sarrafzadeh, Sujay Kumar Jauhar, Michael Gamon, Edward Lank, Ryen White
http://arxiv.org/abs/2008.08165v1
• [cs.HC]Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation
Yubo Kou, Xinning Gui
http://arxiv.org/abs/2008.08202v1
• [cs.IR]E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
http://arxiv.org/abs/2008.08302v1
• [cs.IR]Generating Categories for Sets of Entities
Shuo Zhang, Krisztian Balog, Jamie Callan
http://arxiv.org/abs/2008.08428v1
• [cs.IR]Leveraging Historical Interaction Data for Improving Conversational Recommender System
Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
http://arxiv.org/abs/2008.08247v1
• [cs.IR]Popularity Bias in Recommendation: A Multi-stakeholder Perspective
Himan Abdollahpouri
http://arxiv.org/abs/2008.08551v1
• [cs.IR]Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed
http://arxiv.org/abs/2008.08180v1
• [cs.IT]Analog Lagrange Coded Computing
Mahdi Soleymani, Hessam Mahdavifar, A. Salman Avestimehr
http://arxiv.org/abs/2008.08565v1
• [cs.IT]Detection Probability in a Molecular Communication via Diffusion System with Multiple Fully-absorbing Receivers
Nithin V. Sabu, Abhishek K. Gupta
http://arxiv.org/abs/2008.08425v1
• [cs.IT]Error-correcting Codes for Noisy Duplication Channels
Yuanyuan Tang, Farzad Farnoud
http://arxiv.org/abs/2008.08174v1
• [cs.IT]Intelligent Reflecting Surface Assisted MISO Downlink: Channel Estimation and Asymptotic Analysis
Bayan Al-Nahhas, Qurrat-Ul-Ain Nadeem, Anas Chaaban
http://arxiv.org/abs/2008.08160v1
• [cs.IT]Noncoherent OOK Symbol Detection with Supervised-Learning Approach for BCC
Jihoon Cha, Junil Choi, David J. Love
http://arxiv.org/abs/2008.08286v1
• [cs.IT]On CCZ-equivalence of the inverse function
Lukas Kölsch
http://arxiv.org/abs/2008.08398v1
• [cs.IT]Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model
Chao Zhang, Wenqiang Yi, Yuanwei Liu
http://arxiv.org/abs/2008.08457v1
• [cs.IT]Robust Instance-Optimal Recovery of Sparse Signals at Unknown Noise Levels
Hendrik Bernd Petersen, Peter Jung
http://arxiv.org/abs/2008.08385v1
• [cs.IT]Statistical CSI based Design for Intelligent Reflecting Surface Assisted MISO Systems
Xiaoling Hu, Junwei Wang, Caijun Zhong
http://arxiv.org/abs/2008.08453v1
• [cs.LG]Adaptive Multi-level Hyper-gradient Descent
Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
http://arxiv.org/abs/2008.07277v2
• [cs.LG]Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros, Alice Caplier, Matthieu Ospici
http://arxiv.org/abs/2008.08384v1
• [cs.LG]Automated Machine Learning — a brief review at the end of the early years
Hugo Jair Escalante
http://arxiv.org/abs/2008.08516v1
• [cs.LG]DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models
Furui Cheng, Yao Ming, Huamin Qu
http://arxiv.org/abs/2008.08353v1
• [cs.LG]Data-Independent Structured Pruning of Neural Networks via Coresets
Ben Mussay, Daniel Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
http://arxiv.org/abs/2008.08316v1
• [cs.LG]Demand Forecasting using Long Short-Term Memory Neural Networks
Marta Gołąbek, Robin Senge, Rainer Neumann
http://arxiv.org/abs/2008.08522v1
• [cs.LG]Differentially Private Sketches for Jaccard Similarity Estimation
Martin Aumüller, Anders Bourgeat, Jana Schmurr
http://arxiv.org/abs/2008.08134v1
• [cs.LG]MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
Sung Min Cho, Eunhyeok Park, Sungjoo Yoo
http://arxiv.org/abs/2008.08273v1
• [cs.LG]Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu, Joseph Homer Saleh
http://arxiv.org/abs/2008.08221v1
• [cs.LG]NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks
Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique
http://arxiv.org/abs/2008.08476v1
• [cs.LG]On the Approximation Lower Bound for Neural Nets with Random Weights
Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang
http://arxiv.org/abs/2008.08427v1
• [cs.LG]Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan, X. Y. Han, David L. Donoho
http://arxiv.org/abs/2008.08186v1
• [cs.LG]ReLU activated Multi-Layer Neural Networks trained with Mixed Integer Linear Programs
Steffen Goebbels
http://arxiv.org/abs/2008.08386v1
• [cs.LG]Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions
Alessandro Zavoli, Lorenzo Federici
http://arxiv.org/abs/2008.08501v1
• [cs.LG]Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt, Frank Noé
http://arxiv.org/abs/2008.08461v1
• [cs.LG]Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
http://arxiv.org/abs/2008.08289v1
• [cs.LG]Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
http://arxiv.org/abs/2008.08177v1
• [cs.LG]Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Qingjie Meng, Daniel Rueckert, Bernhard Kainz
http://arxiv.org/abs/2008.08433v1
• [cs.PL]Compiling ONNX Neural Network Models Using MLIR
Tung D. Le, Gheorghe-Teodor Bercea, Tong Chen, Alexandre E. Eichenberger, Haruki Imai, Tian Jin, Kiyokuni Kawachiya, Yasushi Negishi, Kevin O’Brien
http://arxiv.org/abs/2008.08272v1
• [cs.RO]Enabling Remote Whole-Body Control with 5G Edge Computing
Huaijiang Zhu, Manali Sharma, Kai Pfeiffer, Marco Mezzavilla, Jia Shen, Sundeep Rangan, Ludovic Righetti
http://arxiv.org/abs/2008.08243v1
• [cs.RO]Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Oliver Limoyo, Bryan Chan, Filip Marić, Brandon Wagstaff, Rupam Mahmood, Jonathan Kelly
http://arxiv.org/abs/2008.08157v1
• [cs.RO]Problem of robotic precision cutting of the geometrically complex shape from an irregular honeycomb grid
M. V. Kubrikov, M. V. Saramud, M. V Karaseva
http://arxiv.org/abs/2008.08265v1
• [cs.SE]Threshy: Supporting Safe Usage of Intelligent Web Services
Alex Cummaudo, Scott Barnett, Rajesh Vasa, John Grundy
http://arxiv.org/abs/2008.08252v1
• [cs.SI]Coordinated Behavior on Social Media in 2019 UK General Election
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi
http://arxiv.org/abs/2008.08370v1
• [cs.SI]Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis
Kristina Gligorić, Manoel Horta Ribeiro, Martin Müller, Olesia Altunina, Maxime Peyrard, Marcel Salathé, Giovanni Colavizza, Robert West
http://arxiv.org/abs/2008.08364v1
• [cs.SI]Holy Tweets: Exploring the Sharing of Quran on Twitter
Norah Abokhodair, Abdelrahim Elmadany, Walid Magdy
http://arxiv.org/abs/2008.08372v1
• [cs.SI]Multiplex Graph Association Rules for Link Prediction
Michele Coscia, Michael Szell
http://arxiv.org/abs/2008.08351v1
• [cs.SI]Quarantines as a Targeted Immunization Strategy
Jessica Hoffmann, Matt Jordan, Constantine Caramanis
http://arxiv.org/abs/2008.08262v1
• [eess.AS]Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation
Rishika Agarwal, Xiaochuan Niu, Pranay Dighe, Srikanth Vishnubhotla, Sameer Badaskar, Devang Naik
http://arxiv.org/abs/2008.08113v1
• [eess.AS]HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
Krishna Subramani, Preeti Rao
http://arxiv.org/abs/2008.08405v1
• [eess.IV]“Name that manufacturer”. Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge, Charles Lu, Katherine P. Andriole
http://arxiv.org/abs/2008.08525v1
• [eess.IV]Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
Xiaoguang Li, Feifan Yang, Kin Man Lam, Li Zhuo, Jiafeng Li
http://arxiv.org/abs/2008.08526v1
• [eess.IV]BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning
Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan Almer, Rajkumar Kettimuthu, Ian Foster
http://arxiv.org/abs/2008.08198v1
• [eess.IV]Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez, Shengxiang-Yang, Armaghan Moemeni, David Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
http://arxiv.org/abs/2008.08496v1
• [eess.IV]DONet: Dual Objective Networks for Skin Lesion Segmentation
Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang
http://arxiv.org/abs/2008.08278v1
• [eess.IV]Deep Controllable Backlight Dimming
Lvyin Duan, Demetris Marnerides, Alan Chalmers, Zhichun Lei, Kurt Debattista
http://arxiv.org/abs/2008.08352v1
• [eess.IV]Enhanced MRI Reconstruction Network using Neural Architecture Search
Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris Metaxas
http://arxiv.org/abs/2008.08248v1
• [eess.IV]Improving Blind Spot Denoising for Microscopy
Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
http://arxiv.org/abs/2008.08414v1
• [eess.IV]LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen
http://arxiv.org/abs/2008.08242v1
• [eess.IV]Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models
Tanishq Abraham, Andrew Shaw, Daniel O’Connor, Austin Todd, Richard Levenson
http://arxiv.org/abs/2008.08579v1
• [eess.SP]Intelligent Radio Signal Processing: A Contemporary Survey
Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang
http://arxiv.org/abs/2008.08264v1
• [eess.SP]One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing
Thomas Feuillen, Mike Davies, Luc Vandendorpe, LaurentJacques
http://arxiv.org/abs/2008.07264v1
• [eess.SY]Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs
Lingdong Kong
http://arxiv.org/abs/2008.08228v1
• [math.OC]Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
http://arxiv.org/abs/2008.08170v1
• [math.ST]Asymptotic Analysis for Data-Driven Inventory Policies
Xun Zhang, Zhisheng Ye, William B. Haskell
http://arxiv.org/abs/2008.08275v1
• [math.ST]Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models
Yury Polyanskiy, Yihong Wu
http://arxiv.org/abs/2008.08244v1
• [physics.ao-ph]Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens
Arjun Sharma, Adway Mitra, Vishal Vasan, Rama Govindarajan
http://arxiv.org/abs/2008.08251v1
• [physics.chem-ph]Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning
Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan
http://arxiv.org/abs/2008.08078v2
• [physics.soc-ph]Covid-19 infodemic reveals new tipping point epidemiology and a revised $R$ formula
N. F. Johnson, N. Velasquez, O. K. Jha, H. Niyazi, R. Leahy, N. Johnson Restrepo, R. Sear, P. Manrique, Y. Lupu, P. Devkota, S. Wuchty
http://arxiv.org/abs/2008.08513v1
• [q-bio.NC]Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State Information
Robert Strauss
http://arxiv.org/abs/2008.08226v1
• [q-bio.PE]Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries
G. D. Barmparis, G. P. Tsironis
http://arxiv.org/abs/2008.08162v1
• [q-bio.PE]Virus Transmission Risk in Urban Rail Systems: A Microscopic Simulation-based Analysis of Spatio-temporal Characteristics
Jiali Zhou, Haris N. Koutsopoulos
http://arxiv.org/abs/2008.08448v1
• [stat.AP]A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
Zhuoqun Huang, Ronald L. Rivest, Philip B. Stark, Vanessa Teague, Damjan Vukcevic
http://arxiv.org/abs/2008.08536v1
• [stat.AP]Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
Francisco Louzada, José A. Cuminato, Oscar M. H. Rodriguez, Vera L. D. Tomazella, Eder A. Milani, Paulo H. Ferreira, Pedro L. Ramos, Gustavo Bochio, Ivan C. Perissini, Oilson A. Gonzatto Junior, Alex L. Mota, Luis F. A. Alegría, Danilo Colombo, Paulo G. O. Oliveira, Hugo F. L. Santos, Marcus V. C. Magalhães
http://arxiv.org/abs/2008.08197v1
• [stat.AP]Long-Term Effect Estimation with Surrogate Representation
Lu Cheng, Ruocheng Guo, Huan Liu
http://arxiv.org/abs/2008.08236v1
• [stat.AP]Seamless multi-model postprocessing for air temperature forecasts in complex topography
Regula Keller, Jan Rajczak, Jonas Bhend, Christoph Spirig, Stephan Hemri, Mark A. Liniger, Heini Wernli
http://arxiv.org/abs/2008.07857v2
• [stat.AP]Spatiotemporal mapping of malaria prevalence in Madagascar using routine surveillance and health survey data
Rohan Arambepola, Suzanne H. Keddie, Emma L. Collins, Katherine A. Twohig, Punam Amratia, Amelia Bertozzi-Villa, Elisabeth G. Chestnutt, Joseph Harris, Justin Millar, Jennifer Rozier, Susan F. Rumisha, Tasmin L. Symons, Camilo Vargas-Ruiz, Mauricette Andriamananjara, Saraha Rabeherisoa, Arsène C. Ratsimbasoa, Rosalind E. Howes, Daniel J. Weiss, Peter W. Gething, Ewan Cameron
http://arxiv.org/abs/2008.08358v1
• [stat.AP]Synergy in fertility forecasting: Improving forecast accuracy through model averaging
Han Lin Shang, Heather Booth
http://arxiv.org/abs/2008.08335v1
• [stat.ME]Epidemic changepoint detection in the presence of nuisance changes
Julius Juodakis, Stephen Marsland
http://arxiv.org/abs/2008.08240v1
• [stat.ME]Observation on F.W.E.R. and F.D.R. for correlated normal
Nabaneet Das, Subir Kumar Bhandari
http://arxiv.org/abs/2008.08366v1
• [stat.ME]Simultaneous Diagnostic Testing for Linear-Nonlinear Dependence in Time Series
Esam Mahdi, Ali H. Abuzaid
http://arxiv.org/abs/2008.08176v1
• [stat.ML]Bayesian deep learning: a new era for ‘big data’ geostatistics?
Charlie Kirkwood, Theo Economou
http://arxiv.org/abs/2008.07320v2
• [stat.ML]Bayesian geoacoustic inversion using mixture density network
Guoli Wu, Hefeng Dong, Junqiang Song, Jingya Zhang
http://arxiv.org/abs/2008.07902v2
• [stat.ML]Bayesian neural networks and dimensionality reduction
Deborshee Sen, Theodore Papamarkou, David Dunson
http://arxiv.org/abs/2008.08044v2
• [stat.ML]Improving predictions of Bayesian neural networks via local linearization
Alexander Immer, Maciej Korzepa, Matthias Bauer
http://arxiv.org/abs/2008.08400v1
• [stat.ML]Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Fernandez Tamara, Rivera Nicolas, Xu Wenkai, Gretton Arthur
http://arxiv.org/abs/2008.08397v1
• [stat.ML]Non-Canonical Hamiltonian Monte Carlo
James A. Brofos, Roy R. Lederman
http://arxiv.org/abs/2008.08191v1