astro-ph.IM - 仪器仪表和天体物理学方法

    astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CC - 计算复杂度 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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.FA - 泛函演算 math.NT - 数论 math.OA - 算子代数 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.CP -计算金融学 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Identifying microlensing events using neural networks
    • [astro-ph.SR]Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
    • [cs.AI]A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach
    • [cs.AI]A principled analysis of Behavior Trees and their generalisations
    • [cs.AI]Analysis of English free association network reveals mechanisms of efficient solution of the Remote Association Tests
    • [cs.AI]Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
    • [cs.AI]Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
    • [cs.AI]Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
    • [cs.AI]Reputation-driven Decision-making in Networks of Stochastic Agents
    • [cs.AI]The Advantage Regret-Matching Actor-Critic
    • [cs.CC]Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
    • [cs.CL]A Survey of Evaluation Metrics Used for NLG Systems
    • [cs.CL]AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
    • [cs.CL]Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check
    • [cs.CL]Automatic Speech Summarisation: A Scoping Review
    • [cs.CL]Entity and Evidence Guided Relation Extraction for DocRED
    • [cs.CL]GREEK-BERT: The Greeks visiting Sesame Street
    • [cs.CL]Improvement of a dedicated model for open domain persona-aware dialogue generation
    • [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection
    • [cs.CL]On the Optimality of Vagueness: “Around”, “Between”, and the Gricean Maxims
    • [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
    • [cs.CL]Query Focused Multi-document Summarisation of Biomedical Texts
    • [cs.CL]Relation/Entity-Centric Reading Comprehension
    • [cs.CL]SHAP values for Explaining CNN-based Text Classification Models
    • [cs.CL]Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
    • [cs.CR]Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
    • [cs.CR]Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
    • [cs.CV]A Flexible Selection Scheme for Minimum-Effort Transfer Learning
    • [cs.CV]A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
    • [cs.CV]Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
    • [cs.CV]Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
    • [cs.CV]Attribute-guided image generation from layout
    • [cs.CV]CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image
    • [cs.CV]Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
    • [cs.CV]Compensation Tracker: Data Association Method for Lost Object
    • [cs.CV]Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
    • [cs.CV]DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
    • [cs.CV]Deep Learning for 2D grapevine bud detection
    • [cs.CV]Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
    • [cs.CV]DeepFake Detection Based on the Discrepancy Between the Face and its Context
    • [cs.CV]Domain Adaptation Through Task Distillation
    • [cs.CV]Edge and Identity Preserving Network for Face Super-Resolution
    • [cs.CV]Expressive Telepresence via Modular Codec Avatars
    • [cs.CV]Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
    • [cs.CV]How semantic and geometric information mutually reinforce each other in ToF object localization
    • [cs.CV]Inner Eye Canthus Localization for Human Body Temperature Screening
    • [cs.CV]Instance Adaptive Self-Training for Unsupervised Domain Adaptation
    • [cs.CV]Large Scale Photometric Bundle Adjustment
    • [cs.CV]Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
    • [cs.CV]Learning Global Structure Consistency for Robust Object Tracking
    • [cs.CV]Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
    • [cs.CV]MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
    • [cs.CV]Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
    • [cs.CV]Moderately supervised learning: definition and framework
    • [cs.CV]Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
    • [cs.CV]Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
    • [cs.CV]One Shot 3D Photography
    • [cs.CV]Pose-Guided High-Resolution Appearance Transfer via Progressive Training
    • [cs.CV]Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
    • [cs.CV]Reducing Drift in Structure from Motion using Extended Features
    • [cs.CV]Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
    • [cs.CV]Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
    • [cs.CV]Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
    • [cs.CV]Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
    • [cs.CV]Visual Concept Reasoning Networks
    • [cs.CV]Visual Question Answering on Image Sets
    • [cs.CV]Webly Supervised Image Classification with Self-Contained Confidence
    • [cs.CY]”Improving” prediction of human behavior using behavior modification
    • [cs.CY]#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
    • [cs.CY]Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
    • [cs.CY]How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
    • [cs.CY]Multifaceted COVID-19 Outbreak
    • [cs.DC]$k$-ported vs. $k$-lane Broadcast, Scatter, and Alltoall Algorithms
    • [cs.DC]A Brief Survey on Replica Consistency in Cloud Environments
    • [cs.DC]A transprecision floating-point cluster for efficient near-sensor data analytics
    • [cs.DC]Amortized Constant Round Atomic Snapshot in Message-Passing Systems
    • [cs.DC]BumbleBee: Application-aware adaptation for container orchestration
    • [cs.DC]Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs
    • [cs.DC]Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
    • [cs.DC]SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks
    • [cs.ET]Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?
    • [cs.HC]A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
    • [cs.HC]A survey on applications of augmented, mixed andvirtual reality for nature and environment
    • [cs.HC]Adapting Security Warnings to Counter Online Disinformation
    • [cs.HC]Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
    • [cs.HC]How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
    • [cs.HC]Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
    • [cs.IR]MultiGBS: A multi-layer graph approach to biomedical summarization
    • [cs.IR]Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
    • [cs.IR]SciLens News Platform: A System for Real-Time Evaluation of News Articles
    • [cs.IR]Time-based Sequence Model for Personalization and Recommendation Systems
    • [cs.IT]A Precise Performance Analysis of Learning with Random Features
    • [cs.IT]Galois ring isomorphism problem
    • [cs.IT]Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results
    • [cs.IT]Orbit Structure of Grassmannian $G_{2, m}$ and a decoder for Grassmann code $C(2, m)$
    • [cs.IT]Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
    • [cs.IT]Some classes of power functions with low c-differential uniformity over finite fields
    • [cs.IT]Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
    • [cs.IT]Type Size Code for Compressing Erdös-Rényi Graphs
    • [cs.LG]A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs
    • [cs.LG]A benchmark of data stream classification for human activity recognition on connected objects
    • [cs.LG]Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
    • [cs.LG]Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
    • [cs.LG]AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
    • [cs.LG]Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
    • [cs.LG]Collaborative Fairness in Federated Learning
    • [cs.LG]Constrained Markov Decision Processes via Backward Value Functions
    • [cs.LG]DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
    • [cs.LG]Designing Neural Networks for Real-Time Systems
    • [cs.LG]Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses
    • [cs.LG]Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
    • [cs.LG]Graph Neural Network Architecture Search for Molecular Property Prediction
    • [cs.LG]Meta-Learning with Shared Amortized Variational Inference
    • [cs.LG]Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
    • [cs.LG]NASirt: AutoML based learning with instance-level complexity information
    • [cs.LG]Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
    • [cs.LG]Predicting conversions in display advertising based on URL embeddings
    • [cs.LG]Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
    • [cs.LG]SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
    • [cs.LG]Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
    • [cs.LG]Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
    • [cs.LG]Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
    • [cs.LG]learn2learn: A Library for Meta-Learning Research
    • [cs.MA]Algorithmic Approaches to Reconfigurable Assembly Systems
    • [cs.MS]GPU-accelerating ImageJ Macro image processing workflows using CLIJ
    • [cs.NE]CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices
    • [cs.NE]Training robust anomaly detection using ML-Enhanced simulations
    • [cs.RO]Design of a sensor integrated adaptive gripper
    • [cs.RO]Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
    • [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
    • [cs.RO]Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
    • [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
    • [cs.SD]Exploring British Accents: Modeling the Trap-Bath Split with Functional Data Analysis
    • [cs.SE]MAR: A structure-based search engine for models
    • [cs.SI]Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic
    • [cs.SI]Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
    • [cs.SI]Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge?
    • [cs.SI]Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
    • [cs.SI]OFFER: A Motif Dimensional Framework for Network Representation Learning
    • [cs.SI]Path homology and temporal networks
    • [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
    • [eess.AS]FCN Approach for Dynamically Locating Multiple Speakers
    • [eess.IV]DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
    • [eess.IV]Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
    • [eess.IV]Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
    • [eess.IV]Mixed Noise Removal with Pareto Prior
    • [eess.IV]Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
    • [eess.SP]Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
    • [math.FA]Adaptive directional Haar tight framelets on bounded domains for digraph signal representations
    • [math.NT]The group structures of automorphism groups of elliptic function fields over finite fields and their applications to optimal locally repairable codes
    • [math.OA]Quantum information theory and Fourier multipliers on quantum groups
    • [math.OC]Balanced dynamic multiple travelling salesmen: algorithms and continuous approximations
    • [math.OC]Complexity Aspects of Fundamental Questions in Polynomial Optimization
    • [math.OC]Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
    • [math.PR]Approximate Message Passing algorithms for rotationally invariant matrices
    • [math.ST]Analytical and statistical properties of local depth functions motivated by clustering applications
    • [math.ST]Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
    • [math.ST]Discrepancy of stratified samples from partitions of the unit cube
    • [math.ST]On the High Accuracy Limitation of Adaptive Property Estimation
    • [math.ST]Out-of-sample error estimate for robust M-estimators with convex penalty
    • [math.ST]Posterior Contraction Rates for Graph-Based Semi-Supervised Classification
    • [math.ST]Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
    • [math.ST]Statistical inference for principal components of spiked covariance matrix
    • [math.ST]The linear conditional expectation in Hilbert space
    • [math.ST]The polar-generalized normal distribution
    • [physics.comp-ph]Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene
    • [physics.comp-ph]Multi-scale approach for the prediction of atomic scale properties
    • [physics.soc-ph]Exploring Urban Form Through Openstreetmap Data: A Visual Introduction
    • [q-bio.QM]A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata
    • [q-bio.QM]MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
    • [q-fin.CP]Deep Learning for Constrained Utility Maximisation
    • [q-fin.ST]Quantifying the impact of Covid-19 on the US stock market: An analysis from multi-source information
    • [q-fin.ST]Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA
    • [quant-ph]Hybrid quantum-classical optimization for financial index tracking
    • [stat.AP]An exploratory time series analysis of total deaths per month in Brazil since 2015
    • [stat.AP]Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
    • [stat.AP]What Can We Learn from the Travelers Data in Detecting Disease Outbreaks — A Case Study of the COVID-19 Epidemic
    • [stat.ME]Bellman filtering for state-space models
    • [stat.ME]Improved estimators in beta prime regression models
    • [stat.ME]Joint modeling of time-varying exposure history and subsequent health outcomes: identification of critical windows
    • [stat.ME]Minimizing post-shock forecasting error through aggregation of outside information
    • [stat.ME]Pleiotropy robust methods for multivariable Mendelian randomization
    • [stat.ML]Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
    • [stat.ML]Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits

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    • [astro-ph.IM]Identifying microlensing events using neural networks
    Przemek Mroz
    http://arxiv.org/abs/2008.11930v1

    • [astro-ph.SR]Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
    Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang
    http://arxiv.org/abs/2008.12080v1

    • [cs.AI]A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach
    Maryam Abdirad, Krishna Krishnan, Deepak Gupta
    http://arxiv.org/abs/2008.11719v1

    • [cs.AI]A principled analysis of Behavior Trees and their generalisations
    Oliver Biggar, Mohammad Zamani, Iman Shames
    http://arxiv.org/abs/2008.11906v1

    • [cs.AI]Analysis of English free association network reveals mechanisms of efficient solution of the Remote Association Tests
    O. V. Valba, A. S. Gorsky, S. K. Nechaev, M. V. Tamm
    http://arxiv.org/abs/2008.12219v1

    • [cs.AI]Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
    Teng Liu, Hong Wang, Bing Lu, Jun Li, Dongpu Cao
    http://arxiv.org/abs/2008.11852v1

    • [cs.AI]Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
    Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton
    http://arxiv.org/abs/2008.12095v1

    • [cs.AI]Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems
    Mohammad Jafar Mashhadi, Hadi Hemmati
    http://arxiv.org/abs/2008.11856v1

    • [cs.AI]Reputation-driven Decision-making in Networks of Stochastic Agents
    David Maoujoud, Gavin Rens
    http://arxiv.org/abs/2008.11791v1

    • [cs.AI]The Advantage Regret-Matching Actor-Critic
    Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls
    http://arxiv.org/abs/2008.12234v1

    • [cs.CC]Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs
    Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein
    http://arxiv.org/abs/2008.12237v1

    • [cs.CL]A Survey of Evaluation Metrics Used for NLG Systems
    Ananya B. Sai, Akash Kumar Mohankumar, Mitesh M. Khapra
    http://arxiv.org/abs/2008.12009v1

    • [cs.CL]AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
    Xinsong Zhang, Hang Li
    http://arxiv.org/abs/2008.11869v1

    • [cs.CL]Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check
    Minh Nguyen, Gia H. Ngo, Nancy F. Chen
    http://arxiv.org/abs/2008.12281v1

    • [cs.CL]Automatic Speech Summarisation: A Scoping Review
    Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz, A. Baki Kocaballi, Ying Wang, Liliana Laranjo, Enrico Coiera
    http://arxiv.org/abs/2008.11897v1

    • [cs.CL]Entity and Evidence Guided Relation Extraction for DocRED
    Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
    http://arxiv.org/abs/2008.12283v1

    • [cs.CL]GREEK-BERT: The Greeks visiting Sesame Street
    John Koutsikakis, Ilias Chalkidis, Prodromos Malakasiotis, Ion Androutsopoulos
    http://arxiv.org/abs/2008.12014v1

    • [cs.CL]Improvement of a dedicated model for open domain persona-aware dialogue generation
    Qiang Han
    http://arxiv.org/abs/2008.11970v1

    • [cs.CL]Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection
    Dmitry Grigorev, Vladimir Ivanov
    http://arxiv.org/abs/2008.11584v2

    • [cs.CL]On the Optimality of Vagueness: “Around”, “Between”, and the Gricean Maxims
    Paul Egré, Benjamin Spector, Adèle Mortier, Steven Verheyen
    http://arxiv.org/abs/2008.11841v1

    • [cs.CL]Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
    Yang Deng, Wenxuan Zhanng, Wai Lam
    http://arxiv.org/abs/2008.11972v1

    • [cs.CL]Query Focused Multi-document Summarisation of Biomedical Texts
    Diego Molla, Christopher Jones, Vincent Nguyen
    http://arxiv.org/abs/2008.11986v1

    • [cs.CL]Relation/Entity-Centric Reading Comprehension
    Takeshi Onishi
    http://arxiv.org/abs/2008.11940v1

    • [cs.CL]SHAP values for Explaining CNN-based Text Classification Models
    Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
    http://arxiv.org/abs/2008.11825v1

    • [cs.CL]Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
    Tommi Jauhiainen, Heidi Jauhiainen, Niko Partanen, Krister Lindén
    http://arxiv.org/abs/2008.12169v1

    • [cs.CR]Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
    Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou
    http://arxiv.org/abs/2008.12199v1

    • [cs.CR]Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
    Kien Nguyen, John Krumm, Cyrus Shahabi
    http://arxiv.org/abs/2008.11817v1

    • [cs.CV]A Flexible Selection Scheme for Minimum-Effort Transfer Learning
    Amelie Royer, Christoph H. Lampert
    http://arxiv.org/abs/2008.11995v1

    • [cs.CV]A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
    Muhammad Zaigham Zaheer, Arif Mahmood, Hochul Shin, Seung-Ik Lee
    http://arxiv.org/abs/2008.11887v1

    • [cs.CV]Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
    Taotao Jing, Haifeng Xia, Zhengming Ding
    http://arxiv.org/abs/2008.11873v1

    • [cs.CV]Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
    Taotao Jing, Zhengming Ding
    http://arxiv.org/abs/2008.11878v1

    • [cs.CV]Attribute-guided image generation from layout
    Ke Ma, Bo Zhao, Leonid Sigal
    http://arxiv.org/abs/2008.11932v1

    • [cs.CV]CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image
    Yu Sun, Qian Bao, Wu Liu, Yili Fu, Tao Mei
    http://arxiv.org/abs/2008.12272v1

    • [cs.CV]Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
    Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft
    http://arxiv.org/abs/2008.11988v1

    • [cs.CV]Compensation Tracker: Data Association Method for Lost Object
    Zhibo Zou, Junjie Huang, Ping Luo
    http://arxiv.org/abs/2008.12052v1

    • [cs.CV]Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
    Xuewen Yang, Dongliang Xie, Xin Wang
    http://arxiv.org/abs/2008.11882v1

    • [cs.CV]DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
    Juan Diego Ortega, Neslihan Kose, Paola Cañas, Min-An Chao, Alexander Unnervik, Marcos Nieto, Oihana Otaegui, Luis Salgado
    http://arxiv.org/abs/2008.12085v1

    • [cs.CV]Deep Learning for 2D grapevine bud detection
    Wenceslao Villegas Marset, Diego Sebastián Pérez, Carlos Ariel Díaz, Facundo Bromberg
    http://arxiv.org/abs/2008.11872v1

    • [cs.CV]Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
    Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J Hung
    http://arxiv.org/abs/2008.11833v1

    • [cs.CV]DeepFake Detection Based on the Discrepancy Between the Face and its Context
    Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner
    http://arxiv.org/abs/2008.12262v1

    • [cs.CV]Domain Adaptation Through Task Distillation
    Brady Zhou, Nimit Kalra, Philipp Krähenbühl
    http://arxiv.org/abs/2008.11911v1

    • [cs.CV]Edge and Identity Preserving Network for Face Super-Resolution
    Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, Joongkyu Kim
    http://arxiv.org/abs/2008.11977v1

    • [cs.CV]Expressive Telepresence via Modular Codec Avatars
    Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh
    http://arxiv.org/abs/2008.11789v1

    • [cs.CV]Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
    Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki
    http://arxiv.org/abs/2008.11917v1

    • [cs.CV]How semantic and geometric information mutually reinforce each other in ToF object localization
    Antoine Vanderschueren, Victor Joos, Christophe De Vleeschouwer
    http://arxiv.org/abs/2008.12002v1

    • [cs.CV]Inner Eye Canthus Localization for Human Body Temperature Screening
    Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini, Alberto Del Bimbo
    http://arxiv.org/abs/2008.12046v1

    • [cs.CV]Instance Adaptive Self-Training for Unsupervised Domain Adaptation
    Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang
    http://arxiv.org/abs/2008.12197v1

    • [cs.CV]Large Scale Photometric Bundle Adjustment
    Oliver J. Woodford, Edward Rosten
    http://arxiv.org/abs/2008.11762v1

    • [cs.CV]Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
    Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool
    http://arxiv.org/abs/2008.12165v1

    • [cs.CV]Learning Global Structure Consistency for Robust Object Tracking
    Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang, Jingtuo Liu, Junyu Han, Errui Ding, Wenyu Liu
    http://arxiv.org/abs/2008.11769v1

    • [cs.CV]Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
    Shasha Li, Karim Khalil, Rameswar Panda, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami
    http://arxiv.org/abs/2008.11772v1

    • [cs.CV]MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
    Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-jui Hsieh
    http://arxiv.org/abs/2008.12094v1

    • [cs.CV]Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
    Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
    http://arxiv.org/abs/2008.12066v1

    • [cs.CV]Moderately supervised learning: definition and framework
    Yongquan Yang, Zhongxi Zheng
    http://arxiv.org/abs/2008.11945v1

    • [cs.CV]Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
    Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
    http://arxiv.org/abs/2008.11901v1

    • [cs.CV]Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos
    Chen-Hsiu Huang, Ja-Ling Wu
    http://arxiv.org/abs/2008.11961v1

    • [cs.CV]One Shot 3D Photography
    Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Peter Vajda, Ayush Saraf, Michael Cohen
    http://arxiv.org/abs/2008.12298v1

    • [cs.CV]Pose-Guided High-Resolution Appearance Transfer via Progressive Training
    Ji Liu, Heshan Liu, Mang-Tik Chiu, Yu-Wing Tai, Chi-Keung Tang
    http://arxiv.org/abs/2008.11898v1

    • [cs.CV]Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
    Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
    http://arxiv.org/abs/2008.12205v1

    • [cs.CV]Reducing Drift in Structure from Motion using Extended Features
    Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski
    http://arxiv.org/abs/2008.12295v1

    • [cs.CV]Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
    Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Fillia Makedon
    http://arxiv.org/abs/2008.11755v1

    • [cs.CV]Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
    Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
    http://arxiv.org/abs/2008.11954v1

    • [cs.CV]Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
    Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural
    http://arxiv.org/abs/2008.11842v1

    • [cs.CV]Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
    Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
    http://arxiv.org/abs/2008.11946v1

    • [cs.CV]Visual Concept Reasoning Networks
    Taesup Kim, Sungwoong Kim, Yoshua Bengio
    http://arxiv.org/abs/2008.11783v1

    • [cs.CV]Visual Question Answering on Image Sets
    Ankan Bansal, Yuting Zhang, Rama Chellappa
    http://arxiv.org/abs/2008.11976v1

    • [cs.CV]Webly Supervised Image Classification with Self-Contained Confidence
    Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang
    http://arxiv.org/abs/2008.11894v1

    • [cs.CY]“Improving” prediction of human behavior using behavior modification
    Galit Shmueli
    http://arxiv.org/abs/2008.12138v1

    • [cs.CY]#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
    Fatima Zahrah, Jason R. C. Nurse, Michael Goldsmith
    http://arxiv.org/abs/2008.11808v1

    • [cs.CY]Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
    Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
    http://arxiv.org/abs/2008.12146v1

    • [cs.CY]How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
    Christina Uhl, Nadia Abou Nabout, Klaus Miller
    http://arxiv.org/abs/2008.12132v1

    • [cs.CY]Multifaceted COVID-19 Outbreak
    Aneesh Mathews Paul, Sinnu SusanThomas
    http://arxiv.org/abs/2008.12127v1

    • [cs.DC]$k$-ported vs. $k$-lane Broadcast, Scatter, and Alltoall Algorithms
    Jesper Larsson Träff
    http://arxiv.org/abs/2008.12144v1

    • [cs.DC]A Brief Survey on Replica Consistency in Cloud Environments
    Robson A. Campêlo, Marco A. Casanova, Dorgival O. Guedes, Alberto H. F. Laender
    http://arxiv.org/abs/2008.11900v1

    • [cs.DC]A transprecision floating-point cluster for efficient near-sensor data analytics
    Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini
    http://arxiv.org/abs/2008.12243v1

    • [cs.DC]Amortized Constant Round Atomic Snapshot in Message-Passing Systems
    Vijay Garg, Saptaparni Kumar, Lewis Tseng, Xiong Zheng
    http://arxiv.org/abs/2008.11837v1

    • [cs.DC]BumbleBee: Application-aware adaptation for container orchestration
    HyunJong Lee, Shadi Noghabi, Brian Noble, Matthew Furlong, Landon P. Cox
    http://arxiv.org/abs/2008.11868v1

    • [cs.DC]Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs
    Changwan Hong, Laxman Dhulipala, Julian Shun
    http://arxiv.org/abs/2008.11839v1

    • [cs.DC]Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
    Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
    http://arxiv.org/abs/2008.12260v1

    • [cs.DC]SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks
    Abdullah Yousafzai, Choong Seon Hong
    http://arxiv.org/abs/2008.11803v1

    • [cs.ET]Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?
    Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
    http://arxiv.org/abs/2008.12016v1

    • [cs.HC]A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
    Bernd Dudzik, Joost Broekens, Mark Neerincx, Hayley Hung
    http://arxiv.org/abs/2008.12096v1

    • [cs.HC]A survey on applications of augmented, mixed andvirtual reality for nature and environment
    Jason Rambach, Gergana Lilligreen, Alexander Schäfer, Ramya Bankanal, Alexander Wiebel, Didier Stricker
    http://arxiv.org/abs/2008.12024v1

    • [cs.HC]Adapting Security Warnings to Counter Online Disinformation
    Ben Kaiser, Jerry Wei, Elena Lucherini, Kevin Lee, J. Nathan Matias, Jonathan Mayer
    http://arxiv.org/abs/2008.10772v2

    • [cs.HC]Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
    Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
    http://arxiv.org/abs/2008.11844v1

    • [cs.HC]How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
    Hua Shen, Ting-Hao ‘Kenneth’ Huang
    http://arxiv.org/abs/2008.11721v1

    • [cs.HC]Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
    Guy Clarke Marshall, Caroline Jay, André Freitas
    http://arxiv.org/abs/2008.11785v1

    • [cs.IR]MultiGBS: A multi-layer graph approach to biomedical summarization
    Ensieh Davoodijam, Nasser Ghadiri, Maryam Lotfi Shahreza, Fabio Rinaldi
    http://arxiv.org/abs/2008.11908v1

    • [cs.IR]Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
    Geert Heyman, Tom Van Cutsem
    http://arxiv.org/abs/2008.12193v1

    • [cs.IR]SciLens News Platform: A System for Real-Time Evaluation of News Articles
    Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer
    http://arxiv.org/abs/2008.12039v1

    • [cs.IR]Time-based Sequence Model for Personalization and Recommendation Systems
    Tigran Ishkhanov, Maxim Naumov, Xianjie Chen, Yan Zhu, Yuan Zhong, Alisson Gusatti Azzolini, Chonglin Sun, Frank Jiang, Andrey Malevich, Liang Xiong
    http://arxiv.org/abs/2008.11922v1

    • [cs.IT]A Precise Performance Analysis of Learning with Random Features
    Oussama Dhifallah, Yue M. Lu
    http://arxiv.org/abs/2008.11904v1

    • [cs.IT]Galois ring isomorphism problem
    Karan Khathuria
    http://arxiv.org/abs/2008.11927v1

    • [cs.IT]Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results
    Armin Eftekhari, Konstantinos Zygalakis
    http://arxiv.org/abs/2008.12091v1

    • [cs.IT]Orbit Structure of Grassmannian $G_{2, m}$ and a decoder for Grassmann code $C(2, m)$
    Fernando Piñero, Prasant Singh
    http://arxiv.org/abs/2008.12067v1

    • [cs.IT]Robust Design for IRS-Aided Communication Systems with User Location Uncertainty
    Xiaoling Hu, Caijun Zhong, Mohamed-Slim Alouini, Zhaoyang Zhang
    http://arxiv.org/abs/2008.11864v1

    • [cs.IT]Some classes of power functions with low c-differential uniformity over finite fields
    Zhengbang Zha, Lei Hu
    http://arxiv.org/abs/2008.12183v1

    • [cs.IT]Sum Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications
    Yijin Pan, Kezhi Wang, Cunhua Pan, Huiling Zhu, Jiangzhou Wang
    http://arxiv.org/abs/2008.12246v1

    • [cs.IT]Type Size Code for Compressing Erdös-Rényi Graphs
    Nematollah Iri
    http://arxiv.org/abs/2008.11876v1

    • [cs.LG]A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs
    Nathan de Lara, Thomas Bonald
    http://arxiv.org/abs/2008.11944v1

    • [cs.LG]A benchmark of data stream classification for human activity recognition on connected objects
    Martin Khannouz, Tristan Glatard
    http://arxiv.org/abs/2008.11880v1

    • [cs.LG]Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
    Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
    http://arxiv.org/abs/2008.11832v1

    • [cs.LG]Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
    Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das
    http://arxiv.org/abs/2008.11752v1

    • [cs.LG]AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
    Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
    http://arxiv.org/abs/2008.12001v1

    • [cs.LG]Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs
    Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
    http://arxiv.org/abs/2008.11828v1

    • [cs.LG]Collaborative Fairness in Federated Learning
    Lingjuan Lyu, Xinyi Xu, Qian Wang
    http://arxiv.org/abs/2008.12161v1

    • [cs.LG]Constrained Markov Decision Processes via Backward Value Functions
    Harsh Satija, Philip Amortila, Joelle Pineau
    http://arxiv.org/abs/2008.11811v1

    • [cs.LG]DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
    Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev
    http://arxiv.org/abs/2008.12152v1

    • [cs.LG]Designing Neural Networks for Real-Time Systems
    Hammond Pearce, Xin Yang, Partha S. Roop, Marc Katzef, Tórur Biskopstø Strøm
    http://arxiv.org/abs/2008.11830v1

    • [cs.LG]Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses
    Saskia Nuñez von Voigt, Mira Pauli, Johanna Reichert, Florian Tschorsch
    http://arxiv.org/abs/2008.12282v1

    • [cs.LG]Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
    Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan J. Rodríguez
    http://arxiv.org/abs/2008.12025v1

    • [cs.LG]Graph Neural Network Architecture Search for Molecular Property Prediction
    Shengli Jiang, Prasanna Balaprakash
    http://arxiv.org/abs/2008.12187v1

    • [cs.LG]Meta-Learning with Shared Amortized Variational Inference
    Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
    http://arxiv.org/abs/2008.12037v1

    • [cs.LG]Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
    Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
    http://arxiv.org/abs/2008.11979v1

    • [cs.LG]NASirt: AutoML based learning with instance-level complexity information
    Habib Asseiss Neto, Ronnie C. O. Alves, Sergio V. A. Campos
    http://arxiv.org/abs/2008.11846v1

    • [cs.LG]Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
    Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla
    http://arxiv.org/abs/2008.11990v1

    • [cs.LG]Predicting conversions in display advertising based on URL embeddings
    Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis
    http://arxiv.org/abs/2008.12003v1

    • [cs.LG]Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
    Md Abul Bashar, Astin-Walmsley Kieren, Heath Kerina, Richi Nayak
    http://arxiv.org/abs/2008.12065v1

    • [cs.LG]SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
    Ziheng Wang
    http://arxiv.org/abs/2008.11849v1

    • [cs.LG]Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
    Rylan Perumal, Terence L van Zyl
    http://arxiv.org/abs/2008.11835v1

    • [cs.LG]Traces of Class/Cross-Class Structure Pervade Deep Learning Spectra
    Vardan Papyan
    http://arxiv.org/abs/2008.11865v1

    • [cs.LG]Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
    Jerry Chee, Ping Li
    http://arxiv.org/abs/2008.12224v1

    • [cs.LG]learn2learn: A Library for Meta-Learning Research
    Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias
    http://arxiv.org/abs/2008.12284v1

    • [cs.MA]Algorithmic Approaches to Reconfigurable Assembly Systems
    Allan Costa, Benjamin Jenett, Irina Kostitsyna, Amira Abdel-Rahman, Neil Gershenfeld, Kenneth Cheung
    http://arxiv.org/abs/2008.11925v1

    • [cs.MS]GPU-accelerating ImageJ Macro image processing workflows using CLIJ
    Daniela Vorkel, Robert Haase
    http://arxiv.org/abs/2008.11799v1

    • [cs.NE]CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices
    Parth Mannan, Ananda Samajdar, Tushar Krishna
    http://arxiv.org/abs/2008.11881v1

    • [cs.NE]Training robust anomaly detection using ML-Enhanced simulations
    Philip Feldman
    http://arxiv.org/abs/2008.12082v1

    • [cs.RO]Design of a sensor integrated adaptive gripper
    IA Sainul, Sankha Deb, AK Deb
    http://arxiv.org/abs/2008.11754v1

    • [cs.RO]Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
    Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
    http://arxiv.org/abs/2008.11822v1

    • [cs.RO]Leveraging Kernelized Synergies on Shared Subspace for Precision Grasp and Dexterous Manipulation
    Sunny Katyara, Fanny Ficuciello, Darwin Caldwell, Bruno Siciliano, Fei Chen
    http://arxiv.org/abs/2008.11574v2

    • [cs.RO]Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
    Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai
    http://arxiv.org/abs/2008.11867v1

    • [cs.RO]Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
    Thomas Ponn, Fabian Müller, Frank Diermeyer
    http://arxiv.org/abs/2008.11568v2

    • [cs.SD]Exploring British Accents: Modeling the Trap-Bath Split with Functional Data Analysis
    Aranya Koshy, Shahin Tavakoli
    http://arxiv.org/abs/2008.12233v1

    • [cs.SE]MAR: A structure-based search engine for models
    José Antonio Antonio Hernández López, Jesús Sánchez Cuadrado
    http://arxiv.org/abs/2008.11858v1

    • [cs.SI]Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic
    Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu
    http://arxiv.org/abs/2008.12172v1

    • [cs.SI]Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures
    Shuai Wang, Qingchao Kong, Yuqi Wang, Lei Wang
    http://arxiv.org/abs/2008.12154v1

    • [cs.SI]Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge?
    Josimar Chire-Saire, Khalid Mahmood
    http://arxiv.org/abs/2008.12289v1

    • [cs.SI]Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
    Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse
    http://arxiv.org/abs/2008.12238v1

    • [cs.SI]OFFER: A Motif Dimensional Framework for Network Representation Learning
    Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
    http://arxiv.org/abs/2008.12010v1

    • [cs.SI]Path homology and temporal networks
    Samir Chowdhury, Steve Huntsman, Matvey Yutin
    http://arxiv.org/abs/2008.11885v1

    • [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
    Josimar Chire Saire, Kobby Panford-Quainoo
    http://arxiv.org/abs/2008.12277v1

    • [eess.AS]FCN Approach for Dynamically Locating Multiple Speakers
    Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
    http://arxiv.org/abs/2008.11845v1

    • [eess.IV]DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
    Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang
    http://arxiv.org/abs/2008.11853v1

    • [eess.IV]Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
    Cian M. Scannell, Amedeo Chiribiri, Mitko Veta
    http://arxiv.org/abs/2008.11776v1

    • [eess.IV]Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
    Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan Yuille, Le Lu
    http://arxiv.org/abs/2008.11870v1

    • [eess.IV]Mixed Noise Removal with Pareto Prior
    Zhou Liu, Lei Yu, Gui-Song Xia, Hong Sun
    http://arxiv.org/abs/2008.11935v1

    • [eess.IV]Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors
    Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen
    http://arxiv.org/abs/2008.11921v1

    • [eess.SP]Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
    Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
    http://arxiv.org/abs/2008.11827v1

    • [math.FA]Adaptive directional Haar tight framelets on bounded domains for digraph signal representations
    Yuchen Xiao, Xiaosheng Zhuang
    http://arxiv.org/abs/2008.11966v1

    • [math.NT]The group structures of automorphism groups of elliptic function fields over finite fields and their applications to optimal locally repairable codes
    Liming Ma, Chaoping Xing
    http://arxiv.org/abs/2008.12119v1

    • [math.OA]Quantum information theory and Fourier multipliers on quantum groups
    Cédric Arhancet
    http://arxiv.org/abs/2008.12019v1

    • [math.OC]Balanced dynamic multiple travelling salesmen: algorithms and continuous approximations
    Wolfgang Garn
    http://arxiv.org/abs/2008.12063v1

    • [math.OC]Complexity Aspects of Fundamental Questions in Polynomial Optimization
    Jeffrey Zhang
    http://arxiv.org/abs/2008.12170v1

    • [math.OC]Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
    Filip Hanzely
    http://arxiv.org/abs/2008.11824v1

    • [math.PR]Approximate Message Passing algorithms for rotationally invariant matrices
    Zhou Fan
    http://arxiv.org/abs/2008.11892v1

    • [math.ST]Analytical and statistical properties of local depth functions motivated by clustering applications
    Giacomo Francisci, Claudio Agostinelli, Alicia Nieto-Reyes, Anand N. Vidyashankar
    http://arxiv.org/abs/2008.11957v1

    • [math.ST]Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
    Martin Hanik, Hans-Christian Hege, Christoph von Tycowicz
    http://arxiv.org/abs/2008.12195v1

    • [math.ST]Discrepancy of stratified samples from partitions of the unit cube
    Markus Kiderlen, Florian Pausinger
    http://arxiv.org/abs/2008.12026v1

    • [math.ST]On the High Accuracy Limitation of Adaptive Property Estimation
    Yanjun Han
    http://arxiv.org/abs/2008.11964v1

    • [math.ST]Out-of-sample error estimate for robust M-estimators with convex penalty
    Pierre C Bellec
    http://arxiv.org/abs/2008.11840v1

    • [math.ST]Posterior Contraction Rates for Graph-Based Semi-Supervised Classification
    Daniel Sanz-Alonso, Ruiyi Yang
    http://arxiv.org/abs/2008.11809v1

    • [math.ST]Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
    Mohamed Ndaoud
    http://arxiv.org/abs/2008.12236v1

    • [math.ST]Statistical inference for principal components of spiked covariance matrix
    Zhigang Bao, Xiucai Ding, Jingming Wang, Ke Wang
    http://arxiv.org/abs/2008.11903v1

    • [math.ST]The linear conditional expectation in Hilbert space
    Ilja Klebanov, Björn Sprungk, T. J. Sullivan
    http://arxiv.org/abs/2008.12070v1

    • [math.ST]The polar-generalized normal distribution
    Masoud Faridi, Majid Jafari Khaledi
    http://arxiv.org/abs/2008.11765v1

    • [physics.comp-ph]Fast Bayesian Force Fields from Active Learning: Study of Inter-Dimensional Transformation of Stanene
    Yu Xie, Jonathan Vandermause, Lixin Sun, Andrea Cepellotti, Boris Kozinsky
    http://arxiv.org/abs/2008.11796v1

    • [physics.comp-ph]Multi-scale approach for the prediction of atomic scale properties
    Andrea Grisafi, Jigyasa Nigam, Michele Ceriotti
    http://arxiv.org/abs/2008.12122v1

    • [physics.soc-ph]Exploring Urban Form Through Openstreetmap Data: A Visual Introduction
    Geoff Boeing
    http://arxiv.org/abs/2008.12142v1

    • [q-bio.QM]A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata
    Sayantari Ghosh, Saumik Bhattacharya
    http://arxiv.org/abs/2008.12020v1

    • [q-bio.QM]MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
    Daniel S. Berman, Craig Howser, Thomas Mehoke, Jared D. Evans
    http://arxiv.org/abs/2008.11790v1

    • [q-fin.CP]Deep Learning for Constrained Utility Maximisation
    Ashley Davey, Harry Zheng
    http://arxiv.org/abs/2008.11757v1

    • [q-fin.ST]Quantifying the impact of Covid-19 on the US stock market: An analysis from multi-source information
    Asim Kumer Dey, Toufiqul Haq, Kumer Das
    http://arxiv.org/abs/2008.10885v2

    • [q-fin.ST]Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA
    Linyu Zheng, Hongmei He
    http://arxiv.org/abs/2008.11788v1

    • [quant-ph]Hybrid quantum-classical optimization for financial index tracking
    Samuel Fernández-Lorenzo, Diego Porras, Juan José García-Ripoll
    http://arxiv.org/abs/2008.12050v1

    • [stat.AP]An exploratory time series analysis of total deaths per month in Brazil since 2015
    Alexandre Barbosa de Lima
    http://arxiv.org/abs/2008.11805v1

    • [stat.AP]Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
    Xizhen Cai, Donna L. Coffman, Megan E. Piper, Runze Li
    http://arxiv.org/abs/2008.11797v1

    • [stat.AP]What Can We Learn from the Travelers Data in Detecting Disease Outbreaks — A Case Study of the COVID-19 Epidemic
    Le Bao, Ying Zhang, Xiaoyue Niu
    http://arxiv.org/abs/2008.11874v1

    • [stat.ME]Bellman filtering for state-space models
    Rutger-Jan Lange
    http://arxiv.org/abs/2008.11477v2

    • [stat.ME]Improved estimators in beta prime regression models
    Francisco M. C. Medeiros, Mariana C. Araújo, Marcelo Bourguignon
    http://arxiv.org/abs/2008.11750v1

    • [stat.ME]Joint modeling of time-varying exposure history and subsequent health outcomes: identification of critical windows
    Maude Wagner, Francine Grodstein, Karen Leffondre, Cécilia Samieri, Cécile Proust-Lima
    http://arxiv.org/abs/2008.11866v1

    • [stat.ME]Minimizing post-shock forecasting error through aggregation of outside information
    Jilei Lin, Daniel J. Eck
    http://arxiv.org/abs/2008.11756v1

    • [stat.ME]Pleiotropy robust methods for multivariable Mendelian randomization
    Andrew J. Grant, Stephen Burgess
    http://arxiv.org/abs/2008.11997v1

    • [stat.ML]Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
    Raoul Heese, Michael Bortz
    http://arxiv.org/abs/2008.12005v1

    • [stat.ML]Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
    Zhimei Ren, Zhengyuan Zhou
    http://arxiv.org/abs/2008.11918v1