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
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• [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