cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.gen-ph - 普通物理学 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 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

    • [cs.AI]A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
    • [cs.AI]A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming
    • [cs.AI]An Application of ASP in Nuclear Engineering: Explaining the Three Mile Island Nuclear Accident Scenario
    • [cs.AI]An Imitation from Observation Approach to Sim-to-Real Transfer
    • [cs.AI]Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
    • [cs.AI]EasyRL: A Simple and Extensible Reinforcement Learning Framework
    • [cs.AI]Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
    • [cs.AI]Exploiting Game Theory for Analysing Justifications
    • [cs.AI]Learning to Play Two-Player Perfect-Information Games without Knowledge
    • [cs.AI]MAP Inference for Probabilistic Logic Programming
    • [cs.AI]Modular Constraint Solver Cooperation via Abstract Interpretation
    • [cs.AI]Reinforced Epidemic Control: Saving Both Lives and Economy
    • [cs.AI]State-of-the-art Techniques in Deep Edge Intelligence
    • [cs.CL]A Survey of Orthographic Information in Machine Translation
    • [cs.CL]An improved Bayesian TRIE based model for SMS text normalization
    • [cs.CL]Efficient Urdu Caption Generation using Attention based LSTMs
    • [cs.CL]NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
    • [cs.CL]Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
    • [cs.CL]Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
    • [cs.CL]SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
    • [cs.CL]Taking Notes on the Fly Helps BERT Pre-training
    • [cs.CR]Framework for a DLT Based COVID-19 Passport
    • [cs.CV]1st Place Solutions of Waymo Open Dataset Challenge 2020 — 2D Object Detection Track
    • [cs.CV]A Novel Indoor Positioning System for unprepared firefighting scenarios
    • [cs.CV]A non-discriminatory approach to ethical deep learning
    • [cs.CV]AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
    • [cs.CV]Active Object Search
    • [cs.CV]Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling
    • [cs.CV]Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
    • [cs.CV]AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
    • [cs.CV]Appearance Consensus Driven Self-Supervised Human Mesh Recovery
    • [cs.CV]Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction
    • [cs.CV]Boundary Content Graph Neural Network for Temporal Action Proposal Generation
    • [cs.CV]Central object segmentation by deep learning for fruits and other roundish objects
    • [cs.CV]Context Encoding for Video Retrieval with Contrastive Learning
    • [cs.CV]Controlling Information Capacity of Binary Neural Network
    • [cs.CV]Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
    • [cs.CV]Describing Textures using Natural Language
    • [cs.CV]End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
    • [cs.CV]Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task
    • [cs.CV]ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
    • [cs.CV]Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
    • [cs.CV]Geometric Interpretations of the Normalized Epipolar Error
    • [cs.CV]Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
    • [cs.CV]Hierarchical Context Embedding for Region-based Object Detection
    • [cs.CV]Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
    • [cs.CV]Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
    • [cs.CV]Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
    • [cs.CV]Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
    • [cs.CV]Learning Stereo from Single Images
    • [cs.CV]Learning Visual Representations with Caption Annotations
    • [cs.CV]MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
    • [cs.CV]MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks
    • [cs.CV]Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization
    • [cs.CV]Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
    • [cs.CV]Multimodal Image-to-Image Translation via a Single Generative Adversarial Network
    • [cs.CV]Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
    • [cs.CV]Online Continual Learning under Extreme Memory Constraints
    • [cs.CV]Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
    • [cs.CV]PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
    • [cs.CV]PhraseCut: Language-based Image Segmentation in the Wild
    • [cs.CV]Prime-Aware Adaptive Distillation
    • [cs.CV]Prior Guided Feature Enrichment Network for Few-Shot Segmentation
    • [cs.CV]Recognition and 3D Localization of Pedestrian Actions from Monocular Video
    • [cs.CV]Reducing Label Noise in Anchor-Free Object Detection
    • [cs.CV]Robust Uncertainty-Aware Multiview Triangulation
    • [cs.CV]Shape Consistent 2D Keypoint Estimation under Domain Shift
    • [cs.CV]Simultaneous Consensus Maximization and Model Fitting
    • [cs.CV]Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
    • [cs.CV]Spherical Feature Transform for Deep Metric Learning
    • [cs.CV]Structural Plan of Indoor Scenes with Personalized Preferences
    • [cs.CV]Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
    • [cs.CV]Tracking Skin Colour and Wrinkle Changes During Cosmetic Product Trials Using Smartphone Images
    • [cs.CV]Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing
    • [cs.CV]Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
    • [cs.CV]Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans
    • [cs.CV]Weakly-Supervised Semantic Segmentation via Sub-category Exploration
    • [cs.CV]Weight-Sharing Neural Architecture Search:\A Battle to Shrink the Optimization Gap
    • [cs.CY]Analyzing Twitter Users’ Behavior Before and After Contact by the Internet Research Agency
    • [cs.CY]Collecting the Public Perception of AI and Robot Rights
    • [cs.CY]Exposure Density and Neighborhood Disparities in COVID-19 Infection Risk: Using Large-scale Geolocation Data to Understand Burdens on Vulnerable Communities
    • [cs.CY]Machine Learning in Ethnobotany — a first experiment
    • [cs.CY]The COVID-19 online shadow economy
    • [cs.DC]A simple and effective predictive resource scaling heuristic for large-scale cloud applications
    • [cs.DC]Data Synopses Management based on a Deep Learning Model
    • [cs.DC]Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service
    • [cs.DC]Distributed Non-Negative Tensor Train Decomposition
    • [cs.DC]Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
    • [cs.DC]Microservice Interface Based Deployment Orchestration
    • [cs.GR]Real-Time Cleaning and Refinement of Facial Animation Signals
    • [cs.HC]Bayesian-Assisted Inference from Visualized Data
    • [cs.IR]ContentWise Impressions: An industrial dataset with impressions included
    • [cs.IR]Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
    • [cs.IT]Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
    • [cs.IT]Construction of protograph-based LDPC codes with chordless short cycles
    • [cs.IT]Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach
    • [cs.IT]Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
    • [cs.IT]On Covert Quantum Sensing and the Benefits of Entanglement
    • [cs.IT]On the Load Distribution of Vehicular Users Modeled by a Poisson Line Cox Process
    • [cs.IT]On the Maximum Entropy of a Sum of Independent Discrete Random Variables
    • [cs.IT]Rate-Splitting Multiple Access for Overloaded Cellular Internet of Things
    • [cs.IT]SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks
    • [cs.IT]Simple Modulo can Significantly Outperform Deep Learning-based Deepcode
    • [cs.LG]Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
    • [cs.LG]Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo
    • [cs.LG]Cautious Active Clustering
    • [cs.LG]Class-Incremental Domain Adaptation
    • [cs.LG]Collaborative Learning as an Agreement Problem
    • [cs.LG]Concurrent Training Improves the Performance of Behavioral Cloning from Observation
    • [cs.LG]Deep Inverse Q-learning with Constraints
    • [cs.LG]Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
    • [cs.LG]Exploring Variational Deep Q Networks
    • [cs.LG]Faithful Autoencoder Interpolation by Shaping the Latent Space
    • [cs.LG]Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples
    • [cs.LG]Inducing game rules from varying quality game play
    • [cs.LG]Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams
    • [cs.LG]Learning Transition Models with Time-delayed Causal Relations
    • [cs.LG]Learning from a Complementary-label Source Domain: Theory and Algorithms
    • [cs.LG]LoCo: Local Contrastive Representation Learning
    • [cs.LG]Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment
    • [cs.LG]Memory Efficient Class-Incremental Learning for Image Classification
    • [cs.LG]Multiple Code Hashing for Efficient Image Retrieval
    • [cs.LG]Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
    • [cs.LG]On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach
    • [cs.LG]PDE-Driven Spatiotemporal Disentanglement
    • [cs.LG]Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
    • [cs.LG]PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
    • [cs.LG]Space-filling Curves for High-performance Data Mining
    • [cs.LG]Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning
    • [cs.LG]TOAD-GAN: Coherent Style Level Generation from a Single Example
    • [cs.LG]TREND: Transferability based Robust ENsemble Design
    • [cs.LG]The Strategic Perceptron
    • [cs.LG]Ubicomp Digital 2020 — Handwriting classification using a convolutional recurrent network
    • [cs.MA]A Combination of Theta*, ORCA and Push and Rotate for Multi-agent Navigation
    • [cs.NE]Analyzing the Components of Distributed Coevolutionary GAN Training
    • [cs.NE]Neuromorphic Computing for Content-based Image Retrieval
    • [cs.NE]Online Few-shot Gesture Learning on a Neuromorphic Processor
    • [cs.NI]E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
    • [cs.RO]Action sequencing using visual permutations
    • [cs.RO]Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
    • [cs.RO]BRM Localization: UAV Localization in GNSS-Denied EnvironmentsBased on Matching of Numerical Map and UAV Images
    • [cs.RO]Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements
    • [cs.RO]Deep Visual Odometry with Adaptive Memory
    • [cs.RO]HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm
    • [cs.RO]Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
    • [cs.RO]Planning to Score a Goal in Robotic Football with Heuristic Search
    • [cs.RO]Reinforced Grounded Action Transformation for Sim-to-Real Transfer
    • [cs.RO]Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration
    • [cs.RO]Stochastic Grounded Action Transformation for Robot Learning in Simulation
    • [cs.SD]Neural Granular Sound Synthesis
    • [cs.SD]The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures
    • [cs.SD]Timbre latent space: exploration and creative aspects
    • [cs.SE]Safety design concepts for statistical machine learning components toward accordance with functional safety standards
    • [cs.SE]Semantic based model of Conceptual Work Products for formal verification of complex interactive systems
    • [cs.SI]A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
    • [cs.SI]Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering
    • [econ.EM]Macroeconomic Data Transformations Matter
    • [eess.AS]”This is Houston. Say again, please”. The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)
    • [eess.AS]A Spectral Energy Distance for Parallel Speech Synthesis
    • [eess.AS]Self-attention encoding and pooling for speaker recognition
    • [eess.AS]Weakly Supervised Construction of ASR Systems with Massive Video Data
    • [eess.IV]3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications
    • [eess.IV]Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
    • [eess.IV]Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
    • [eess.IV]Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images
    • [eess.IV]Predicting the Blur Visual Discomfort for Natural Scenes by the Loss of Positional Information
    • [eess.IV]Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution
    • [eess.IV]Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
    • [eess.SP]A User Guide to Low-Pass Graph Signal Processing and its Applications
    • [eess.SP]Configuration Learning in Underwater Optical Links
    • [eess.SP]Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
    • [eess.SP]Generative Adversarial Networks for Synthesizing InSAR Patches
    • [eess.SP]Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
    • [eess.SP]Performance Evaluation of OTFS Over Measured V2V Channels at 60 GHz
    • [eess.SP]Terahertz Line-Of-Sight MIMO Communication: Theory and Practical Challenges
    • [math.NA]A Schatten-$q$ Matrix Perturbation Theory via Perturbation Projection Error Bound
    • [math.OC]Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
    • [math.OC]Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise
    • [math.PR]Monotonicity properties of the Poisson approximation to the binomial distribution
    • [math.PR]Ollivier-Ricci curvature convergence in random geometric graphs
    • [math.ST]Convergence Rates for Bayesian Estimation and Testing in Monotone Regression
    • [math.ST]On estimation of the PMF and the CDF of a natural discrete one parameter polynomial exponential distribution
    • [math.ST]On the Bernstein-von Mises theorem for the Dirichlet process
    • [math.ST]Using Expander Graphs to test whether samples are i.i.d
    • [physics.gen-ph]The world as a neural network
    • [q-bio.NC]Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks
    • [q-bio.PE]COVID-19 mild cases determination from correlating COVID-line calls to reported cases
    • [q-bio.PE]Constructing transient amplifiers for death-Birth updating: A case study of cubic and quartic regular graphs
    • [q-bio.QM]Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning
    • [quant-ph]A divide-and-conquer algorithm for quantum state preparation
    • [quant-ph]Recoverability for optimized quantum $f$-divergences
    • [stat.AP]Wisdom of crowds: much ado about nothing
    • [stat.ME]A Robust Spearman Correlation Coefficient Permutation Test
    • [stat.ME]A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
    • [stat.ME]Copula-based measures of asymmetry between the lower and upper tail probabilities
    • [stat.ME]Interaction between two exposures: determining odds ratios and confidence intervals for risk estimates
    • [stat.ME]Some Cautionary Comments on Principal Component Analysis for Time Series Data
    • [stat.ML]A Machine Learning Approach for Modelling Parking Duration in Urban Land-use
    • [stat.ML]Community detection in sparse latent space models
    • [stat.ML]Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
    • [stat.ML]Structure Learning from Related Data Sets with a Hierarchical Bayesian Score
    • [stat.ML]The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation

    ·····································

    • [cs.AI]A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
    Teng Liu, Bing Huang, Xingyu Mu, Fuqing Zhao, Xiaolin Tang, Dongpu Cao
    http://arxiv.org/abs/2008.01302v1

    • [cs.AI]A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming
    George Baryannis, Ilias Tachmazidis, Sotiris Batsakis, Grigoris Antoniou, Mario Alviano, Emmanuel Papadakis
    http://arxiv.org/abs/2008.01519v1

    • [cs.AI]An Application of ASP in Nuclear Engineering: Explaining the Three Mile Island Nuclear Accident Scenario
    B. N. Hanna, L. T. Trieu, T. C. Son, N. T. Dinh
    http://arxiv.org/abs/2008.01253v1

    • [cs.AI]An Imitation from Observation Approach to Sim-to-Real Transfer
    Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
    http://arxiv.org/abs/2008.01594v1

    • [cs.AI]Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
    Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera
    http://arxiv.org/abs/2008.01499v1

    • [cs.AI]EasyRL: A Simple and Extensible Reinforcement Learning Framework
    Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane
    http://arxiv.org/abs/2008.01700v1

    • [cs.AI]Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
    Xinzhi Wang, Huao Li, Rui Liu, Hui Zhang, Michael Lewis, Katia Sycara
    http://arxiv.org/abs/2008.01508v1

    • [cs.AI]Exploiting Game Theory for Analysing Justifications
    Simon Marynissen, Bart Bogaerts, Marc Denecker
    http://arxiv.org/abs/2008.01609v1

    • [cs.AI]Learning to Play Two-Player Perfect-Information Games without Knowledge
    Quentin Cohen-Solal
    http://arxiv.org/abs/2008.01188v1

    • [cs.AI]MAP Inference for Probabilistic Logic Programming
    Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese
    http://arxiv.org/abs/2008.01394v1

    • [cs.AI]Modular Constraint Solver Cooperation via Abstract Interpretation
    Pierre Talbot, Éric Monfroy, Charlotte Truchet
    http://arxiv.org/abs/2008.01415v1

    • [cs.AI]Reinforced Epidemic Control: Saving Both Lives and Economy
    Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu
    http://arxiv.org/abs/2008.01257v1

    • [cs.AI]State-of-the-art Techniques in Deep Edge Intelligence
    Ahnaf Hannan Lodhi, Barış Akgün, Öznur Özkasap
    http://arxiv.org/abs/2008.00824v2

    • [cs.CL]A Survey of Orthographic Information in Machine Translation
    Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan, John P. McCrae
    http://arxiv.org/abs/2008.01391v1

    • [cs.CL]An improved Bayesian TRIE based model for SMS text normalization
    Abhinava Sikdar, Niladri Chatterjee
    http://arxiv.org/abs/2008.01297v1

    • [cs.CL]Efficient Urdu Caption Generation using Attention based LSTMs
    Inaam Ilahi, Hafiz Muhammad Abdullah Zia, Ahtazaz Ehsan, Rauf Tabassam, Armaghan Ahmed
    http://arxiv.org/abs/2008.01663v1

    • [cs.CL]NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
    Hwijeen Ahn, Jimin Sun, Chan Young Park, Jungyun Seo
    http://arxiv.org/abs/2008.01354v1

    • [cs.CL]Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
    Robert Ridley, Liang He, Xinyu Dai, Shujian Huang, Jiajun Chen
    http://arxiv.org/abs/2008.01441v1

    • [cs.CL]Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
    Stefan Heid, Marcel Wever, Eyke Hüllermeier
    http://arxiv.org/abs/2008.01377v1

    • [cs.CL]SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
    Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang
    http://arxiv.org/abs/2008.01474v1

    • [cs.CL]Taking Notes on the Fly Helps BERT Pre-training
    Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
    http://arxiv.org/abs/2008.01466v1

    • [cs.CR]Framework for a DLT Based COVID-19 Passport
    Sarang Chaudhari, Michael Clear, Hitesh Tewari
    http://arxiv.org/abs/2008.01120v1

    • [cs.CV]1st Place Solutions of Waymo Open Dataset Challenge 2020 — 2D Object Detection Track
    Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang
    http://arxiv.org/abs/2008.01365v1

    • [cs.CV]A Novel Indoor Positioning System for unprepared firefighting scenarios
    Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martınez-Ramon
    http://arxiv.org/abs/2008.01344v1

    • [cs.CV]A non-discriminatory approach to ethical deep learning
    Enzo Tartaglione, Marco Grangetto
    http://arxiv.org/abs/2008.01430v1

    • [cs.CV]AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
    Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo
    http://arxiv.org/abs/2008.00714v2

    • [cs.CV]Active Object Search
    Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin
    http://arxiv.org/abs/2008.00923v2

    • [cs.CV]Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling
    Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah
    http://arxiv.org/abs/2008.01437v1

    • [cs.CV]Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
    Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin
    http://arxiv.org/abs/2008.00859v2

    • [cs.CV]AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
    Gabriel Machado, Edemir Ferreira, Keiller Nogueira, Hugo Oliveira, Pedro Gama, Jefersson A. dos Santos
    http://arxiv.org/abs/2008.01133v1

    • [cs.CV]Appearance Consensus Driven Self-Supervised Human Mesh Recovery
    Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu
    http://arxiv.org/abs/2008.01341v1

    • [cs.CV]Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction
    Junqi Zhao, Esther Obonyo
    http://arxiv.org/abs/2008.01679v1

    • [cs.CV]Boundary Content Graph Neural Network for Temporal Action Proposal Generation
    Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu
    http://arxiv.org/abs/2008.01432v1

    • [cs.CV]Central object segmentation by deep learning for fruits and other roundish objects
    Motohisa Fukuda, Takashi Okuno, Shinya Yuki
    http://arxiv.org/abs/2008.01251v1

    • [cs.CV]Context Encoding for Video Retrieval with Contrastive Learning
    Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue
    http://arxiv.org/abs/2008.01334v1

    • [cs.CV]Controlling Information Capacity of Binary Neural Network
    Dmitry Ignatov, Andrey Ignatov
    http://arxiv.org/abs/2008.01438v1

    • [cs.CV]Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
    Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin
    http://arxiv.org/abs/2008.01550v1

    • [cs.CV]Describing Textures using Natural Language
    Chenyun Wu, Mikayla Timm, Subhransu Maji
    http://arxiv.org/abs/2008.01180v1

    • [cs.CV]End-to-end Birds-eye-view Flow Estimation for Autonomous Driving
    Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
    http://arxiv.org/abs/2008.01179v1

    • [cs.CV]Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task
    David Cian, Jan van Gemert, Attila Lengyel
    http://arxiv.org/abs/2008.01584v1

    • [cs.CV]ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
    Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
    http://arxiv.org/abs/2008.01369v1

    • [cs.CV]Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
    Qian Wang, Toby P. Breckon
    http://arxiv.org/abs/2008.01214v1

    • [cs.CV]Geometric Interpretations of the Normalized Epipolar Error
    Seong Hun Lee, Javier Civera
    http://arxiv.org/abs/2008.01254v1

    • [cs.CV]Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
    Mara Graziani, Sebastian Otalora, Henning Muller, Vincent Andrearczyk
    http://arxiv.org/abs/2008.01478v1

    • [cs.CV]Hierarchical Context Embedding for Region-based Object Detection
    Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo
    http://arxiv.org/abs/2008.01338v1

    • [cs.CV]Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
    Yenan Jiang, Ying Li, Shanrong Zou, Haokui Zhang, Yunpeng Bai
    http://arxiv.org/abs/2008.01421v1

    • [cs.CV]Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
    Daizong Liu, Xiaoye Qu, Xiaoyang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
    http://arxiv.org/abs/2008.01403v1

    • [cs.CV]Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
    M. Esat Kalfaoglu, Sinan Kalkan, A. Aydin Alatan
    http://arxiv.org/abs/2008.01232v1

    • [cs.CV]Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
    Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan
    http://arxiv.org/abs/2008.01270v1

    • [cs.CV]Learning Stereo from Single Images
    Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman
    http://arxiv.org/abs/2008.01484v1

    • [cs.CV]Learning Visual Representations with Caption Annotations
    Mert Bulent Sariyildiz, Julien Perez, Diane Larlus
    http://arxiv.org/abs/2008.01392v1

    • [cs.CV]MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
    Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi
    http://arxiv.org/abs/2008.01699v1

    • [cs.CV]MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks
    Hyungtae Lim, Hyeonjae Gil, Hyun Myung
    http://arxiv.org/abs/2008.01405v1

    • [cs.CV]Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization
    Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang
    http://arxiv.org/abs/2008.01201v1

    • [cs.CV]Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
    Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
    http://arxiv.org/abs/2008.01218v1

    • [cs.CV]Multimodal Image-to-Image Translation via a Single Generative Adversarial Network
    Shihua Huang, Cheng He, Ran Cheng
    http://arxiv.org/abs/2008.01681v1

    • [cs.CV]Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
    Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
    http://arxiv.org/abs/2008.01178v1

    • [cs.CV]Online Continual Learning under Extreme Memory Constraints
    Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
    http://arxiv.org/abs/2008.01510v1

    • [cs.CV]Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
    Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/2008.01576v1

    • [cs.CV]PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
    Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt
    http://arxiv.org/abs/2008.01639v1

    • [cs.CV]PhraseCut: Language-based Image Segmentation in the Wild
    Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
    http://arxiv.org/abs/2008.01187v1

    • [cs.CV]Prime-Aware Adaptive Distillation
    Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei
    http://arxiv.org/abs/2008.01458v1

    • [cs.CV]Prior Guided Feature Enrichment Network for Few-Shot Segmentation
    Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia
    http://arxiv.org/abs/2008.01449v1

    • [cs.CV]Recognition and 3D Localization of Pedestrian Actions from Monocular Video
    Jun Hayakawa, Behzad Dariush
    http://arxiv.org/abs/2008.01162v1

    • [cs.CV]Reducing Label Noise in Anchor-Free Object Detection
    Nermin Samet, Samet Hicsonmez, Emre Akbas
    http://arxiv.org/abs/2008.01167v1

    • [cs.CV]Robust Uncertainty-Aware Multiview Triangulation
    Seong Hun Lee, Javier Civera
    http://arxiv.org/abs/2008.01258v1

    • [cs.CV]Shape Consistent 2D Keypoint Estimation under Domain Shift
    Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulo, Barbara Caputo, Elisa Ricci
    http://arxiv.org/abs/2008.01589v1

    • [cs.CV]Simultaneous Consensus Maximization and Model Fitting
    Fei Wen, Hewen Wei, Yipeng Liu, Peilin Liu
    http://arxiv.org/abs/2008.01574v1

    • [cs.CV]Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation
    Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding
    http://arxiv.org/abs/2008.01677v1

    • [cs.CV]Spherical Feature Transform for Deep Metric Learning
    Yuke Zhu, Yan Bai, Yichen Wei
    http://arxiv.org/abs/2008.01469v1

    • [cs.CV]Structural Plan of Indoor Scenes with Personalized Preferences
    Xinhan Di, Pengqian Yu, Hong Zhu, Lei Cai, Qiuyan Sheng, Changyu Sun
    http://arxiv.org/abs/2008.01323v1

    • [cs.CV]Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
    Adam W. Harley, Shrinidhi K. Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki
    http://arxiv.org/abs/2008.01295v1

    • [cs.CV]Tracking Skin Colour and Wrinkle Changes During Cosmetic Product Trials Using Smartphone Images
    Alan F. Smeaton, Swathikiran Srungavarapu, Cyril Messaraa, Claire Tansey
    http://arxiv.org/abs/2008.01483v1

    • [cs.CV]Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing
    Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas
    http://arxiv.org/abs/2008.01701v1

    • [cs.CV]Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
    Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu
    http://arxiv.org/abs/2008.01388v1

    • [cs.CV]Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans
    Fakrul Islam Tushar, Vincent M. D’Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo
    http://arxiv.org/abs/2008.01158v1

    • [cs.CV]Weakly-Supervised Semantic Segmentation via Sub-category Exploration
    Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang
    http://arxiv.org/abs/2008.01183v1

    • [cs.CV]Weight-Sharing Neural Architecture Search:\A Battle to Shrink the Optimization Gap
    Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian
    http://arxiv.org/abs/2008.01475v1

    • [cs.CY]Analyzing Twitter Users’ Behavior Before and After Contact by the Internet Research Agency
    Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang, Richard Han, Tamara Lehman, Qin Lv, Shivakant Mishra
    http://arxiv.org/abs/2008.01273v1

    • [cs.CY]Collecting the Public Perception of AI and Robot Rights
    Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha
    http://arxiv.org/abs/2008.01339v1

    • [cs.CY]Exposure Density and Neighborhood Disparities in COVID-19 Infection Risk: Using Large-scale Geolocation Data to Understand Burdens on Vulnerable Communities
    Boyeong Hong, Bartosz Bonczak, Arpit Gupta, Lorna Thorpe, Constantine E. Kontokosta
    http://arxiv.org/abs/2008.01650v1

    • [cs.CY]Machine Learning in Ethnobotany — a first experiment
    Marc Böhlen, Wawan Surjawo
    http://arxiv.org/abs/2008.01611v1

    • [cs.CY]The COVID-19 online shadow economy
    Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli
    http://arxiv.org/abs/2008.01585v1

    • [cs.DC]A simple and effective predictive resource scaling heuristic for large-scale cloud applications
    Valentin Flunkert, Quentin Rebjock, Joel Castellon, Laurent Callot, Tim Januschowski
    http://arxiv.org/abs/2008.01215v1

    • [cs.DC]Data Synopses Management based on a Deep Learning Model
    Panagiotis Fountas, Kostas Kolomvatsos, Christos Anagnostopoulos
    http://arxiv.org/abs/2008.01560v1

    • [cs.DC]Design and Deployment of Photo2Building: A Cloud-based Procedural Modeling Tool as a Service
    Manush Bhatt, Rajesh Kalyanam, Gen Nishida, Liu He, Christopher May, Dev Niyogi, Daniel Aliaga
    http://arxiv.org/abs/2008.01286v1

    • [cs.DC]Distributed Non-Negative Tensor Train Decomposition
    Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hirsto Djidjev, Boian Alexandrov
    http://arxiv.org/abs/2008.01340v1

    • [cs.DC]Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
    Juhyun Bae, Ling Liu, Gong Su, Arun Iyengar, Yanzhao Wu
    http://arxiv.org/abs/2008.00902v2

    • [cs.DC]Microservice Interface Based Deployment Orchestration
    Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro
    http://arxiv.org/abs/2008.01638v1

    • [cs.GR]Real-Time Cleaning and Refinement of Facial Animation Signals
    Eloïse Berson, Catherine Soladié, Nicolas Stoiber
    http://arxiv.org/abs/2008.01332v1

    • [cs.HC]Bayesian-Assisted Inference from Visualized Data
    Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman
    http://arxiv.org/abs/2008.00142v1

    • [cs.IR]ContentWise Impressions: An industrial dataset with impressions included
    Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi
    http://arxiv.org/abs/2008.01212v1

    • [cs.IR]Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering
    Jin Peng Zhou, Wu Ga, Zheda Mai, Scott Sanner
    http://arxiv.org/abs/2008.01246v1

    • [cs.IT]Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
    Li Wei, Chongwen Huang, George C. Alexandropoulos, Senior Member, IEEE, Chau Yuen, Senior Member, IEEE, Zhaoyang Zhang, Member, IEEE, Mérouane Debbah, Fellow, IEEE
    http://arxiv.org/abs/2008.01459v1

    • [cs.IT]Construction of protograph-based LDPC codes with chordless short cycles
    Farzane Amirzade, Mohammad-Reza~Sadeghi, Daniel Panario
    http://arxiv.org/abs/2008.01322v1

    • [cs.IT]Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach
    Nguyen Cong Luong, Nguyen Thi Thanh Van, Feng Shaohan, Huy T. Nguyen, Dusit Niyato, Dong In Kim
    http://arxiv.org/abs/2008.01239v1

    • [cs.IT]Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
    Mohammad G. Khoshkholgh, Halim Yanikomeroglu
    http://arxiv.org/abs/2008.01705v1

    • [cs.IT]On Covert Quantum Sensing and the Benefits of Entanglement
    Mehrdad Tahmasbi, Matthieu Bloch
    http://arxiv.org/abs/2008.01264v1

    • [cs.IT]On the Load Distribution of Vehicular Users Modeled by a Poisson Line Cox Process
    Vishnu Vardhan Chetlur, Harpreet S. Dhillon
    http://arxiv.org/abs/2008.01267v1

    • [cs.IT]On the Maximum Entropy of a Sum of Independent Discrete Random Variables
    Mladen Kovačević
    http://arxiv.org/abs/2008.01138v1

    • [cs.IT]Rate-Splitting Multiple Access for Overloaded Cellular Internet of Things
    Yijie Mao, Enrico Piovano, Bruno Clerckx
    http://arxiv.org/abs/2008.01238v1

    • [cs.IT]SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks
    E. Basar, I. Yildirim, I. F. Akyildiz
    http://arxiv.org/abs/2008.01448v1

    • [cs.IT]Simple Modulo can Significantly Outperform Deep Learning-based Deepcode
    Assaf Ben-Yishai, Ofer Shayevitz
    http://arxiv.org/abs/2008.01686v1

    • [cs.LG]Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
    Suyun Liu, Luis Nunes Vicente
    http://arxiv.org/abs/2008.01132v1

    • [cs.LG]Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo
    Mohammad Amin Nabian, Hadi Meidani
    http://arxiv.org/abs/2008.01604v1

    • [cs.LG]Cautious Active Clustering
    Alexander Cloninger, Hrushikesh Mhaskar
    http://arxiv.org/abs/2008.01245v1

    • [cs.LG]Class-Incremental Domain Adaptation
    Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu
    http://arxiv.org/abs/2008.01389v1

    • [cs.LG]Collaborative Learning as an Agreement Problem
    El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Lê Nguyên Hoang, Sébastien Rouault
    http://arxiv.org/abs/2008.00742v2

    • [cs.LG]Concurrent Training Improves the Performance of Behavioral Cloning from Observation
    Zachary W. Robertson, Matthew R. Walter
    http://arxiv.org/abs/2008.01205v1

    • [cs.LG]Deep Inverse Q-learning with Constraints
    Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker
    http://arxiv.org/abs/2008.01712v1

    • [cs.LG]Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
    Liyao Lu, Qiang Lyu
    http://arxiv.org/abs/2008.00682v2

    • [cs.LG]Exploring Variational Deep Q Networks
    A. H. Bell-Thomas
    http://arxiv.org/abs/2008.01641v1

    • [cs.LG]Faithful Autoencoder Interpolation by Shaping the Latent Space
    Alon Oring, Zohar Yakhini, Yacov Hel-Or
    http://arxiv.org/abs/2008.01487v1

    • [cs.LG]Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples
    Ivan Papusha, Rosa Wu, Joshua Brulé, Yanni Kouskoulas, Daniel Genin, Aurora Schmidt
    http://arxiv.org/abs/2008.01204v1

    • [cs.LG]Inducing game rules from varying quality game play
    Alastair Flynn
    http://arxiv.org/abs/2008.01664v1

    • [cs.LG]Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams
    Charlie Dickens, Eric Meissner, Pablo G. Moreno, Tom Diethe
    http://arxiv.org/abs/2008.01505v1

    • [cs.LG]Learning Transition Models with Time-delayed Causal Relations
    Junchi Liang, Abdeslam Boularias
    http://arxiv.org/abs/2008.01593v1

    • [cs.LG]Learning from a Complementary-label Source Domain: Theory and Algorithms
    Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
    http://arxiv.org/abs/2008.01454v1

    • [cs.LG]LoCo: Local Contrastive Representation Learning
    Yuwen Xiong, Mengye Ren, Raquel Urtasun
    http://arxiv.org/abs/2008.01342v1

    • [cs.LG]Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment
    Satrajit Chatterjee, Piotr Zielinski
    http://arxiv.org/abs/2008.01217v1

    • [cs.LG]Memory Efficient Class-Incremental Learning for Image Classification
    Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li
    http://arxiv.org/abs/2008.01411v1

    • [cs.LG]Multiple Code Hashing for Efficient Image Retrieval
    Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
    http://arxiv.org/abs/2008.01503v1

    • [cs.LG]Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
    Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov
    http://arxiv.org/abs/2008.01291v1

    • [cs.LG]On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach
    Kai Fabi, Jonas Schneider
    http://arxiv.org/abs/2008.01468v1

    • [cs.LG]PDE-Driven Spatiotemporal Disentanglement
    Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
    http://arxiv.org/abs/2008.01352v1

    • [cs.LG]Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
    Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu
    http://arxiv.org/abs/2008.01613v1

    • [cs.LG]PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
    Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
    http://arxiv.org/abs/2008.01425v1

    • [cs.LG]Space-filling Curves for High-performance Data Mining
    Christian Böhm
    http://arxiv.org/abs/2008.01684v1

    • [cs.LG]Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning
    Rui Hu, Yanmin Gong, Yuanxiong Guo
    http://arxiv.org/abs/2008.01558v1

    • [cs.LG]TOAD-GAN: Coherent Style Level Generation from a Single Example
    Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
    http://arxiv.org/abs/2008.01531v1

    • [cs.LG]TREND: Transferability based Robust ENsemble Design
    Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
    http://arxiv.org/abs/2008.01524v1

    • [cs.LG]The Strategic Perceptron
    Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita
    http://arxiv.org/abs/2008.01710v1

    • [cs.LG]Ubicomp Digital 2020 — Handwriting classification using a convolutional recurrent network
    Wei-Cheng Lai, Hendrik Schröter
    http://arxiv.org/abs/2008.01078v1

    • [cs.MA]**A Combination of Theta, ORCA and Push and Rotate for Multi-agent Navigation
    Stepan Dergachev, Konstantin Yakovlev, Ryhor Prakapovich
    http://arxiv.org/abs/2008.01227v1

    • [cs.NE]Analyzing the Components of Distributed Coevolutionary GAN Training
    Jamal Toutouh, Erik Hemberg, Una-May O’Reilly
    http://arxiv.org/abs/2008.01124v1

    • [cs.NE]Neuromorphic Computing for Content-based Image Retrieval
    Te-Yuan Liu, Ata Mahjoubfar, Daniel Prusinski, Luis Stevens
    http://arxiv.org/abs/2008.01380v1

    • [cs.NE]Online Few-shot Gesture Learning on a Neuromorphic Processor
    Kenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci
    http://arxiv.org/abs/2008.01151v1

    • [cs.NI]E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
    Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang
    http://arxiv.org/abs/2008.01553v1

    • [cs.RO]Action sequencing using visual permutations
    Michael Burke, Kartic Subr, Subramanian Ramamoorthy
    http://arxiv.org/abs/2008.01156v1

    • [cs.RO]Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
    Noémie Jaquier, Leonel Rozo, Sylvain Calinon
    http://arxiv.org/abs/2008.01402v1

    • [cs.RO]BRM Localization: UAV Localization in GNSS-Denied EnvironmentsBased on Matching of Numerical Map and UAV Images
    Junho Choi, Hyun Myung
    http://arxiv.org/abs/2008.01347v1

    • [cs.RO]Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements
    Yang Chen, Diego Paez-Granados, Hideki Kadone, Kenji Suzuki
    http://arxiv.org/abs/2008.01181v1

    • [cs.RO]Deep Visual Odometry with Adaptive Memory
    Fei Xue, Xin Wang, Junqiu Wang, Hongbin Zha
    http://arxiv.org/abs/2008.01655v1

    • [cs.RO]HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm
    Md Mofijul Islam, Tariq Iqbal
    http://arxiv.org/abs/2008.01148v1

    • [cs.RO]Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
    Naoki Wake, Riku Arakawa, Iori Yanokura, Takuya Kiyokawa, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi
    http://arxiv.org/abs/2008.01513v1

    • [cs.RO]Planning to Score a Goal in Robotic Football with Heuristic Search
    Ivan Khokhlov, Vladimir Litvinenko, Ilya Ryakin, Konstantin Yakovlev
    http://arxiv.org/abs/2008.00851v2

    • [cs.RO]Reinforced Grounded Action Transformation for Sim-to-Real Transfer
    Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
    http://arxiv.org/abs/2008.01279v1

    • [cs.RO]Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration
    Ragesh K. Ramachandran, Pietro Pierpaoli, Magnus Egerstedt, Gaurav S. Sukhatme
    http://arxiv.org/abs/2008.01321v1

    • [cs.RO]Stochastic Grounded Action Transformation for Robot Learning in Simulation
    Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
    http://arxiv.org/abs/2008.01281v1

    • [cs.SD]Neural Granular Sound Synthesis
    Adrien Bitton, Philippe Esling, Tatsuya Harada
    http://arxiv.org/abs/2008.01393v1

    • [cs.SD]The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures
    Shih-Lun Wu, Yi-Hsuan Yang
    http://arxiv.org/abs/2008.01307v1

    • [cs.SD]Timbre latent space: exploration and creative aspects
    Antoine Caillon, Adrien Bitton, Brice Gatinet, Philippe Esling
    http://arxiv.org/abs/2008.01370v1

    • [cs.SE]Safety design concepts for statistical machine learning components toward accordance with functional safety standards
    Akihisa Morikawa, Yutaka Matsubara
    http://arxiv.org/abs/2008.01263v1

    • [cs.SE]Semantic based model of Conceptual Work Products for formal verification of complex interactive systems
    Mohcine Madkour, Keith Butler, Eric Mercer, Ali Bahrami, Cui Tao
    http://arxiv.org/abs/2008.01623v1

    • [cs.SI]A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
    Luiz Emilio Allem, Carlos Hoppen, Matheus Micadei Marzo, Lucas Siviero Sibemberg
    http://arxiv.org/abs/2008.00333v2

    • [cs.SI]Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering
    Iain J. Cruickshank, Kathleen M. Carley
    http://arxiv.org/abs/2008.01139v1

    • [econ.EM]Macroeconomic Data Transformations Matter
    Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanovic, Stéphane Surprenant
    http://arxiv.org/abs/2008.01714v1

    • [eess.AS]“This is Houston. Say again, please”. The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)
    Arseniy Gorin, Daniil Kulko, Steven Grima, Alex Glasman
    http://arxiv.org/abs/2008.01504v1

    • [eess.AS]A Spectral Energy Distance for Parallel Speech Synthesis
    Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner
    http://arxiv.org/abs/2008.01160v1

    • [eess.AS]Self-attention encoding and pooling for speaker recognition
    Pooyan Safari, Miquel India, Javier Hernando
    http://arxiv.org/abs/2008.01077v1

    • [eess.AS]Weakly Supervised Construction of ASR Systems with Massive Video Data
    Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang
    http://arxiv.org/abs/2008.01300v1

    • [eess.IV]3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications
    Hongliang Li, Tal Mezheritsky, Liset Vazquez Romaguera, Samuel Kadoury
    http://arxiv.org/abs/2008.01147v1

    • [eess.IV]Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
    Wanyu Bian, Yunmei Chen, Xiaojing Ye
    http://arxiv.org/abs/2008.01410v1

    • [eess.IV]Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
    Hongwei Li, Jianguo Zhang, Bjoern Menze
    http://arxiv.org/abs/2008.01216v1

    • [eess.IV]Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images
    T. Kowsalya, S. L. Ullo, C. Zarro, K. L. Hemalatha, B. D. Parameshachari
    http://arxiv.org/abs/2008.01635v1

    • [eess.IV]Predicting the Blur Visual Discomfort for Natural Scenes by the Loss of Positional Information
    Elio D. Di Claudio, Paolo Giannitrapani, Giovanni Jacovitti
    http://arxiv.org/abs/2008.01429v1

    • [eess.IV]Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution
    Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke
    http://arxiv.org/abs/2008.01116v1

    • [eess.IV]Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
    Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
    http://arxiv.org/abs/2008.01362v1

    • [eess.SP]A User Guide to Low-Pass Graph Signal Processing and its Applications
    Raksha Ramakrishna, Hoi-To Wai, Anna Scaglione
    http://arxiv.org/abs/2008.01305v1

    • [eess.SP]Configuration Learning in Underwater Optical Links
    Xueyuan Zhao, Zhuoran Qi, Dario Pompili
    http://arxiv.org/abs/2008.01221v1

    • [eess.SP]Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
    Minghui LiWang, Zhibin Gao, Xianbin Wang
    http://arxiv.org/abs/2008.01144v1

    • [eess.SP]Generative Adversarial Networks for Synthesizing InSAR Patches
    Philipp Sibler, Yuanyuan Wang, Stefan Auer, Mohsin Ali, Xiao Xiang Zhu
    http://arxiv.org/abs/2008.01184v1

    • [eess.SP]Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
    Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
    http://arxiv.org/abs/2008.01219v1

    • [eess.SP]Performance Evaluation of OTFS Over Measured V2V Channels at 60 GHz
    Thomas Blazek, Danilo Radovic
    http://arxiv.org/abs/2008.01586v1

    • [eess.SP]Terahertz Line-Of-Sight MIMO Communication: Theory and Practical Challenges
    Heedong Do, Sungmin Cho, Jeonghun Park, Ho-Jin Song, Namyoon Lee, Angel Lozano
    http://arxiv.org/abs/2008.01482v1

    • [math.NA]A Schatten-$q$ Matrix Perturbation Theory via Perturbation Projection Error Bound
    Yuetian Luo, Anru R. Zhang
    http://arxiv.org/abs/2008.01312v1

    • [math.OC]Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
    Feihu Huang, Songcan Chen, Heng Huang
    http://arxiv.org/abs/2008.01296v1

    • [math.OC]Well-Conditioned Methods for Ill-Conditioned Systems: Linear Regression with Semi-Random Noise
    Jerry Li, Aaron Sidford, Kevin Tian, Huishuai Zhang
    http://arxiv.org/abs/2008.01722v1

    • [math.PR]Monotonicity properties of the Poisson approximation to the binomial distribution
    Iosif Pinelis
    http://arxiv.org/abs/2008.01125v1

    • [math.PR]Ollivier-Ricci curvature convergence in random geometric graphs
    Pim van der Hoorn, William J. Cunningham, Gabor Lippner, Carlo Trugenberger, Dmitri Krioukov
    http://arxiv.org/abs/2008.01209v1

    • [math.ST]Convergence Rates for Bayesian Estimation and Testing in Monotone Regression
    Moumita Chakraborty, Subhashis Ghosal
    http://arxiv.org/abs/2008.01244v1

    • [math.ST]On estimation of the PMF and the CDF of a natural discrete one parameter polynomial exponential distribution
    Indrani Mukherjee, Sudhansu S. Maiti, Rama Shanker
    http://arxiv.org/abs/2008.01720v1

    • [math.ST]On the Bernstein-von Mises theorem for the Dirichlet process
    Kolyan Ray, Aad van der Vaart
    http://arxiv.org/abs/2008.01130v1

    • [math.ST]Using Expander Graphs to test whether samples are i.i.d
    Stefan Steinerberger
    http://arxiv.org/abs/2008.01153v1

    • [physics.gen-ph]The world as a neural network
    Vitaly Vanchurin
    http://arxiv.org/abs/2008.01540v1

    • [q-bio.NC]Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks
    Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly
    http://arxiv.org/abs/2008.00317v1

    • [q-bio.PE]COVID-19 mild cases determination from correlating COVID-line calls to reported cases
    Ezequiel Alvarez, Franco Marsico
    http://arxiv.org/abs/2008.01176v1

    • [q-bio.PE]Constructing transient amplifiers for death-Birth updating: A case study of cubic and quartic regular graphs
    Hendrik Richter
    http://arxiv.org/abs/2008.01446v1

    • [q-bio.QM]Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning
    Hanieh Marvi Khorasani, Hamid Usefi, Lourdes Peña-Castillo
    http://arxiv.org/abs/2008.01615v1

    • [quant-ph]A divide-and-conquer algorithm for quantum state preparation
    Israel F. Araujo, Daniel K. Park, Francesco Petruccione, Adenilton J. da Silva
    http://arxiv.org/abs/2008.01511v1

    • [quant-ph]Recoverability for optimized quantum $f$-divergences
    Li Gao, Mark M. Wilde
    http://arxiv.org/abs/2008.01668v1

    • [stat.AP]Wisdom of crowds: much ado about nothing
    Sandro M. Reia, José F. Fontanari
    http://arxiv.org/abs/2008.01485v1

    • [stat.ME]A Robust Spearman Correlation Coefficient Permutation Test
    Han Yu, Alan D. Hutson
    http://arxiv.org/abs/2008.01200v1

    • [stat.ME]A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
    Chiara Piazzola, Lorenzo Tamellini, Raúl Tempone
    http://arxiv.org/abs/2008.01400v1

    • [stat.ME]Copula-based measures of asymmetry between the lower and upper tail probabilities
    Shogo Kato, Toshinao Yoshiba, Shinto Eguchi
    http://arxiv.org/abs/2008.01314v1

    • [stat.ME]Interaction between two exposures: determining odds ratios and confidence intervals for risk estimates
    Jesse Huang, Ingrid Kockum, Pernilla Stridh
    http://arxiv.org/abs/2008.01479v1

    • [stat.ME]Some Cautionary Comments on Principal Component Analysis for Time Series Data
    Xinyu Zhang, Howell Tong
    http://arxiv.org/abs/2008.01496v1

    • [stat.ML]A Machine Learning Approach for Modelling Parking Duration in Urban Land-use
    Janak Parmar, Pritikana Das, Sanjaykumar Dave
    http://arxiv.org/abs/2008.01674v1

    • [stat.ML]Community detection in sparse latent space models
    Fengnan Gao, Zongming Ma, Hongsong Yuan
    http://arxiv.org/abs/2008.01375v1

    • [stat.ML]Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
    Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan
    http://arxiv.org/abs/2008.01724v1

    • [stat.ML]Structure Learning from Related Data Sets with a Hierarchical Bayesian Score
    Laura Azzimonti, Giorgio Corani, Marco Scutari
    http://arxiv.org/abs/2008.01683v1

    • [stat.ML]The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation
    Naoki Hayashi
    http://arxiv.org/abs/2008.01304v1