cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Enabling Morally Sensitive Robotic Clarification Requests
    • [cs.AI]Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
    • [cs.AR]Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
    • [cs.CL]A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
    • [cs.CL]Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
    • [cs.CL]Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns
    • [cs.CL]SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
    • [cs.CL]Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
    • [cs.CL]Towards an Automated SOAP Note: Classifying Utterancesfrom Medical Conversations
    • [cs.CR]Backdoor Learning: A Survey
    • [cs.CR]Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks
    • [cs.CR]OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding
    • [cs.CV]2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
    • [cs.CV]A Technical Report for VIPriors Image Classification Challenge
    • [cs.CV]AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism
    • [cs.CV]Adaptive Task Sampling for Meta-Learning
    • [cs.CV]AlignNet: Unsupervised Entity Alignment
    • [cs.CV]Anisotropic Mesh Adaptation for Image Segmentation Based on Mumford-Shah Functional
    • [cs.CV]Boundary-preserving Mask R-CNN
    • [cs.CV]Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
    • [cs.CV]Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling
    • [cs.CV]DACS: Domain Adaptation via Cross-domain Mixed Sampling
    • [cs.CV]DVI: Depth Guided Video Inpainting for Autonomous Driving
    • [cs.CV]Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection
    • [cs.CV]Detecting Human-Object Interactions with Action Co-occurrence Priors
    • [cs.CV]EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
    • [cs.CV]Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge
    • [cs.CV]End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
    • [cs.CV]Explanation-Guided Training for Cross-Domain Few-Shot Classification
    • [cs.CV]GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
    • [cs.CV]Generating Person Images with Appearance-aware Pose Stylizer
    • [cs.CV]Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
    • [cs.CV]Grad-Cam Guided Progressive Feature CutMix for Classification
    • [cs.CV]HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
    • [cs.CV]Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning
    • [cs.CV]Impact of base dataset design on few-shot image classification
    • [cs.CV]Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
    • [cs.CV]LEED: Label-Free Expression Editing via Disentanglement
    • [cs.CV]Learn to Propagate Reliably on Noisy Affinity Graphs
    • [cs.CV]Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification
    • [cs.CV]Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
    • [cs.CV]Learning to Discretely Compose Reasoning Module Networks for Video Captioning
    • [cs.CV]Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space
    • [cs.CV]Mixing Real and Synthetic Data to Enhance Neural Network Training — A Review of Current Approaches
    • [cs.CV]Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts
    • [cs.CV]Multi-scale Interactive Network for Salient Object Detection
    • [cs.CV]Online Invariance Selection for Local Feature Descriptors
    • [cs.CV]Polarimetric Multi-View Inverse Rendering
    • [cs.CV]Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
    • [cs.CV]Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series
    • [cs.CV]Region-based Non-local Operation for Video Classification
    • [cs.CV]Scale Equivariance Improves Siamese Tracking
    • [cs.CV]Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
    • [cs.CV]Smooth Deformation Field-based Mismatch Removal in Real-time
    • [cs.CV]Spatial-Spectral Manifold Embedding of Hyperspectral Data
    • [cs.CV]SumGraph: Video Summarization via Recursive Graph Modeling
    • [cs.CV]Superpixel-Guided Label Softening for Medical Image Segmentation
    • [cs.CV]Synthetic and Real Inputs for ToolSegmentation in Robotic Surgery
    • [cs.CV]TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
    • [cs.CV]Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
    • [cs.CV]Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template
    • [cs.CV]URIE: Universal Image Enhancement for Visual Recognition in the Wild
    • [cs.CV]Understanding and Diagnosing Vulnerability under Adversarial Attacks
    • [cs.CV]Universal Model for Multi-Domain Medical Image Retrieval
    • [cs.CV]Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity
    • [cs.CV]Visual Relation Grounding in Videos
    • [cs.CV]Weakly-supervised Learning of Human Dynamics
    • [cs.CY]A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare
    • [cs.CY]Art Speaks Maths, Maths Speaks Art
    • [cs.CY]Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory
    • [cs.CY]Principles for data analysis workflows
    • [cs.CY]Revisiting Strategic Cyberwar Theory Reaching Decisive Strategic Outcome
    • [cs.CY]Using Data Mining for Infrastructure and Safety Violations Discovery in Cities
    • [cs.DB]Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
    • [cs.DC]Containers Placement and Migration on Cloud System
    • [cs.DC]EZLDA: Efficient and Scalable LDA on GPUs
    • [cs.DC]FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
    • [cs.DC]Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing
    • [cs.DM]”Statistical Independence” versus “Logical Indetermination”, two ways of generating clustering criteria through couplings : Application to graphs modularization
    • [cs.GT]Learning Desirable Matchings From Partial Preferences
    • [cs.IR]Augmented Understanding and Automated Adaptation of Curation Rules
    • [cs.IR]Scalable Methods for Calculating Term Co-Occurrence Frequencies
    • [cs.IT]Age of Information: An Introduction and Survey
    • [cs.IT]Analytical Derivation of Outage Correlation in Random Media Access with Application to Average Consensus in Wireless Networks: Extended Paper Version
    • [cs.IT]Decoding up to 4 errors in Hyperbolic-like Abelian Codes by the Sakata Algorithm
    • [cs.IT]Efficient Linear and Affine Codes for Correcting Insertions/Deletions
    • [cs.IT]Large random matrix approach for testing independence of a large number of Gaussian time series
    • [cs.IT]Maximum-Likelihood Channel Decoding with Quantum Annealing Machine
    • [cs.IT]On cosets weight distributions of the doubly-extended Reed-Solomon codes of codimension 4
    • [cs.IT]On the frequency domain detection of high dimensional time series
    • [cs.IT]Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication
    • [cs.IT]Trajectory Design and Power Allocation for Drone-Assisted NR-V2X Network with Dynamic NOMA/OMA
    • [cs.LG]$\texttt{sbi}$ — a toolkit for simulation-based inference
    • [cs.LG]A Differential Game Theoretic Neural Optimizer for Training Residual Networks
    • [cs.LG]A Hölderian backtracking method for min-max and min-min problems
    • [cs.LG]A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum
    • [cs.LG]Adaptive Gradient Methods for Constrained Convex Optimization
    • [cs.LG]Bandits for BMO Functions
    • [cs.LG]CoNES: Convex Natural Evolutionary Strategies
    • [cs.LG]Collision Avoidance Robotics Via Meta-Learning (CARML)
    • [cs.LG]CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
    • [cs.LG]Discovering Reinforcement Learning Algorithms
    • [cs.LG]Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
    • [cs.LG]Hybrid Discriminative-Generative Training via Contrastive Learning
    • [cs.LG]Hyperparameter Selection for Offline Reinforcement Learning
    • [cs.LG]Knowledge Distillation in Deep Learning and its Applications
    • [cs.LG]Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism
    • [cs.LG]Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
    • [cs.LG]Multi-Stage Influence Function
    • [cs.LG]Partial local entropy and anisotropy in deep weight spaces
    • [cs.LG]Prioritized Multi-Criteria Federated Learning
    • [cs.LG]Privacy-Preserving Distributed Learning in the Analog Domain
    • [cs.LG]Probabilistic Active Meta-Learning
    • [cs.LG]Provably Consistent Partial-Label Learning
    • [cs.LG]Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
    • [cs.LG]Sequential Explanations with Mental Model-Based Policies
    • [cs.LG]Sequential Segment-based Level Generation and Blending using Variational Autoencoders
    • [cs.LG]Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
    • [cs.LG]Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
    • [cs.LG]TUDataset: A collection of benchmark datasets for learning with graphs
    • [cs.LG]Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context
    • [cs.LG]Training with reduced precision of a support vector machine model for text classification
    • [cs.NE]A biological plausible audio-visual integration model for continual lifelong learning
    • [cs.NE]FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks
    • [cs.RO]Task-oriented Motion Mapping on Robots of Various Configuration using Body Role Division
    • [cs.RO]Verbal Focus-of-Attention System for Learning-from-Demonstration
    • [cs.SD]Unsupervised Representation Learning For Context of Vocal Music
    • [cs.SI]Evaluating Community Detection Algorithms for Progressively Evolving Graphs
    • [cs.SI]Improved Approximation Factor for Adaptive Influence Maximization via Simple Greedy Strategies
    • [cs.SI]Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María
    • [cs.SI]Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
    • [eess.AS]Neural Architecture Search for Speech Recognition
    • [eess.IV]Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
    • [eess.IV]Channel-wise Autoregressive Entropy Models for Learned Image Compression
    • [eess.IV]Deep Small Bowel Segmentation with Cylindrical Topological Constraints
    • [eess.IV]Revisiting Rubik’s Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
    • [eess.IV]Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques
    • [eess.SP]Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
    • [eess.SP]Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment
    • [eess.SP]Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle
    • [math.CO]Vertex distinction with subgraph centrality: a proof of Estrada’s conjecture and some generalizations
    • [math.NA]Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis
    • [math.PR]Asymptotic Behaviour of the Empirical Distance Covariance for Dependent Data
    • [math.ST]Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes
    • [physics.soc-ph]An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
    • [q-bio.PE]Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference
    • [q-fin.ST]Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets
    • [stat.AP]Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service
    • [stat.AP]Capacity Value of Solar Power and Other Variable Generation
    • [stat.AP]Estimating COVID-19 cases and reproduction number in Mexico
    • [stat.AP]Functional clustering methods for resistance spot welding process data in the automotive industry
    • [stat.AP]Hospital Quality Risk Standardization via Approximate Balancing Weights
    • [stat.AP]Inference for partially observed epidemic dynamics guided by Kalman filtering techniques
    • [stat.AP]Integration of Survival Data from Multiple Studies
    • [stat.ME]A network approach to item response data: Development and applications of latent space item response models
    • [stat.ME]Coefficients of Determination for Mixed-Effects Models
    • [stat.ME]Extended Stochastic Block Models
    • [stat.ME]Joint inference on extreme expectiles for multivariate heavy-tailed distributions
    • [stat.ME]Predict Number of Future Failures
    • [stat.ML]A Fourier State Space Model for Bayesian ODE Filters
    • [stat.ML]Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review
    • [stat.ML]Uncertainty Quantification and Deep Ensembles
    • [stat.ML]Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data

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    • [cs.AI]Enabling Morally Sensitive Robotic Clarification Requests
    Ryan Blake Jackson, Tom Williams
    http://arxiv.org/abs/2007.08670v1

    • [cs.AI]Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
    Tom Williams, Torin Johnson, Will Culpepper, Kellyn Larson
    http://arxiv.org/abs/2007.08672v1

    • [cs.AR]Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
    Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini
    http://arxiv.org/abs/2007.08952v1

    • [cs.CL]A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
    Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo
    http://arxiv.org/abs/2007.08742v1

    • [cs.CL]Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
    Daniel Furrer, Marc van Zee, Nathan Scales, Nathanael Schärli
    http://arxiv.org/abs/2007.08970v1

    • [cs.CL]Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns
    Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan
    http://arxiv.org/abs/2007.09076v1

    • [cs.CL]SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
    Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
    http://arxiv.org/abs/2007.08954v1

    • [cs.CL]Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
    Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
    http://arxiv.org/abs/2007.08772v1

    • [cs.CL]Towards an Automated SOAP Note: Classifying Utterancesfrom Medical Conversations
    Benjamin Schloss, Sandeep Konam
    http://arxiv.org/abs/2007.08749v1

    • [cs.CR]Backdoor Learning: A Survey
    Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia
    http://arxiv.org/abs/2007.08745v1

    • [cs.CR]Constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks
    Rodothea Myrsini Tsoupidi, Roberto Castañeda Lozano, Benoit Baudry
    http://arxiv.org/abs/2007.08955v1

    • [cs.CR]OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding
    Lan N. Nguyen, Truc D. T. Nguyen, Thang N. Dinh, My T. Thai
    http://arxiv.org/abs/2007.08596v1

    • [cs.CV]2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
    Yinzheng Gu, Yihan Pan, Shizhe Chen
    http://arxiv.org/abs/2007.08849v1

    • [cs.CV]A Technical Report for VIPriors Image Classification Challenge
    Zhipeng Luo, Ge Li, Zhiguang Zhang
    http://arxiv.org/abs/2007.08722v1

    • [cs.CV]AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism
    Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Shihao Cao, Yanning Zhang
    http://arxiv.org/abs/2007.08763v1

    • [cs.CV]Adaptive Task Sampling for Meta-Learning
    Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
    http://arxiv.org/abs/2007.08735v1

    • [cs.CV]AlignNet: Unsupervised Entity Alignment
    Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
    http://arxiv.org/abs/2007.08973v1

    • [cs.CV]Anisotropic Mesh Adaptation for Image Segmentation Based on Mumford-Shah Functional
    Karrar Abbas, Xianping Li
    http://arxiv.org/abs/2007.08696v1

    • [cs.CV]Boundary-preserving Mask R-CNN
    Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu
    http://arxiv.org/abs/2007.08921v1

    • [cs.CV]Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
    Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma
    http://arxiv.org/abs/2007.08883v1

    • [cs.CV]Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling
    Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim
    http://arxiv.org/abs/2007.08786v1

    • [cs.CV]DACS: Domain Adaptation via Cross-domain Mixed Sampling
    Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson
    http://arxiv.org/abs/2007.08702v1

    • [cs.CV]DVI: Depth Guided Video Inpainting for Autonomous Driving
    Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang
    http://arxiv.org/abs/2007.08854v1

    • [cs.CV]Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection
    K. V. Kadambari, Vishnu Vardhan Nimmalapudi
    http://arxiv.org/abs/2007.08783v1

    • [cs.CV]Detecting Human-Object Interactions with Action Co-occurrence Priors
    Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon
    http://arxiv.org/abs/2007.08728v1

    • [cs.CV]EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
    Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai
    http://arxiv.org/abs/2007.08856v1

    • [cs.CV]Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge
    Chih-Chung Hsu, Hsin-Ti Ma
    http://arxiv.org/abs/2007.08919v1

    • [cs.CV]End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
    Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths
    http://arxiv.org/abs/2007.08723v1

    • [cs.CV]Explanation-Guided Training for Cross-Domain Few-Shot Classification
    Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
    http://arxiv.org/abs/2007.08790v1

    • [cs.CV]GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
    Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh
    http://arxiv.org/abs/2007.09073v1

    • [cs.CV]Generating Person Images with Appearance-aware Pose Stylizer
    Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
    http://arxiv.org/abs/2007.09077v1

    • [cs.CV]Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
    Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
    http://arxiv.org/abs/2007.08939v1

    • [cs.CV]Grad-Cam Guided Progressive Feature CutMix for Classification
    Yan Zhang, Binyu He, Li Sun
    http://arxiv.org/abs/2007.08779v1

    • [cs.CV]HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
    Jiahao Lin, Gim Hee Lee
    http://arxiv.org/abs/2007.08943v1

    • [cs.CV]Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning
    Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres
    http://arxiv.org/abs/2007.08907v1

    • [cs.CV]Impact of base dataset design on few-shot image classification
    Othman Sbai, Camille Couprie, Mathieu Aubry
    http://arxiv.org/abs/2007.08872v1

    • [cs.CV]Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
    Noa Garcia, Yuta Nakashima
    http://arxiv.org/abs/2007.08751v1

    • [cs.CV]LEED: Label-Free Expression Editing via Disentanglement
    Rongliang Wu, Shijian Lu
    http://arxiv.org/abs/2007.08971v1

    • [cs.CV]Learn to Propagate Reliably on Noisy Affinity Graphs
    Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin
    http://arxiv.org/abs/2007.08802v1

    • [cs.CV]Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification
    Yan Zhang, Zhilin Zheng, Binyu He, Li Sun
    http://arxiv.org/abs/2007.08785v1

    • [cs.CV]Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
    Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang
    http://arxiv.org/abs/2007.08801v1

    • [cs.CV]Learning to Discretely Compose Reasoning Module Networks for Video Captioning
    Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha
    http://arxiv.org/abs/2007.09049v1

    • [cs.CV]Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space
    Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang
    http://arxiv.org/abs/2007.08740v1

    • [cs.CV]Mixing Real and Synthetic Data to Enhance Neural Network Training — A Review of Current Approaches
    Viktor Seib, Benjamin Lange, Stefan Wirtz
    http://arxiv.org/abs/2007.08781v1

    • [cs.CV]Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts
    Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
    http://arxiv.org/abs/2007.08789v1

    • [cs.CV]Multi-scale Interactive Network for Salient Object Detection
    Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
    http://arxiv.org/abs/2007.09062v1

    • [cs.CV]Online Invariance Selection for Local Feature Descriptors
    Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys
    http://arxiv.org/abs/2007.08988v1

    • [cs.CV]Polarimetric Multi-View Inverse Rendering
    Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi
    http://arxiv.org/abs/2007.08830v1

    • [cs.CV]Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
    Christopher Thomas, Adriana Kovashka
    http://arxiv.org/abs/2007.08617v1

    • [cs.CV]Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series
    Jingjie Zhu, Karthik Sundaresan, Jason Rupe
    http://arxiv.org/abs/2007.08752v1

    • [cs.CV]Region-based Non-local Operation for Video Classification
    Guoxi Huang, Adrian G. Bors
    http://arxiv.org/abs/2007.09033v1

    • [cs.CV]Scale Equivariance Improves Siamese Tracking
    Ivan Sosnovik, Artem Moskalev, Arnold Smeulders
    http://arxiv.org/abs/2007.09115v1

    • [cs.CV]Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
    Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2007.08760v1

    • [cs.CV]Smooth Deformation Field-based Mismatch Removal in Real-time
    Haoyin Zhou, Jagadeesan Jayender
    http://arxiv.org/abs/2007.08553v1

    • [cs.CV]Spatial-Spectral Manifold Embedding of Hyperspectral Data
    Danfeng Hong, Jing Yao, Xin Wu, Jocelyn Chanussot, Xiao Xiang Zhu
    http://arxiv.org/abs/2007.08767v1

    • [cs.CV]SumGraph: Video Summarization via Recursive Graph Modeling
    Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn
    http://arxiv.org/abs/2007.08809v1

    • [cs.CV]Superpixel-Guided Label Softening for Medical Image Segmentation
    Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng
    http://arxiv.org/abs/2007.08897v1

    • [cs.CV]Synthetic and Real Inputs for ToolSegmentation in Robotic Surgery
    Emanuele Colleoni, Philip Edwards, Danail Stoyanov
    http://arxiv.org/abs/2007.09107v1

    • [cs.CV]TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
    Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, Pascal Fua
    http://arxiv.org/abs/2007.09084v1

    • [cs.CV]Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
    Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
    http://arxiv.org/abs/2007.08714v1

    • [cs.CV]Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template
    Debajit Sarma, V. Kavyasree, M. K. Bhuyan
    http://arxiv.org/abs/2007.08847v1

    • [cs.CV]URIE: Universal Image Enhancement for Visual Recognition in the Wild
    Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak
    http://arxiv.org/abs/2007.08979v1

    • [cs.CV]Understanding and Diagnosing Vulnerability under Adversarial Attacks
    Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash
    http://arxiv.org/abs/2007.08716v1

    • [cs.CV]Universal Model for Multi-Domain Medical Image Retrieval
    Yang Feng, Yubao Liu, Jiebo Luo
    http://arxiv.org/abs/2007.08628v1

    • [cs.CV]Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity
    Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli
    http://arxiv.org/abs/2007.08920v1

    • [cs.CV]Visual Relation Grounding in Videos
    Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua
    http://arxiv.org/abs/2007.08814v1

    • [cs.CV]Weakly-supervised Learning of Human Dynamics
    Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
    http://arxiv.org/abs/2007.08969v1

    • [cs.CY]A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare
    Ganga Prasad Basyal, Bhaskar P. Rimal, David Zeng
    http://arxiv.org/abs/2007.09134v1

    • [cs.CY]Art Speaks Maths, Maths Speaks Art
    Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/2007.08886v1

    • [cs.CY]Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory
    Mike Zajko
    http://arxiv.org/abs/2007.08666v1

    • [cs.CY]Principles for data analysis workflows
    Sara Stoudt, Valeri N. Vasquez, Ciera C. Martinez
    http://arxiv.org/abs/2007.08708v1

    • [cs.CY]Revisiting Strategic Cyberwar Theory Reaching Decisive Strategic Outcome
    Jan Kallberg
    http://arxiv.org/abs/2007.08626v1

    • [cs.CY]Using Data Mining for Infrastructure and Safety Violations Discovery in Cities
    Doron Laadan, Eyal Arviv, Michael Fire
    http://arxiv.org/abs/2007.08630v1

    • [cs.DB]Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study
    Pierre Monnin, Emmanuel Bresso, Miguel Couceiro, Malika Smaïl-Tabbone, Amedeo Napoli, Adrien Coulet
    http://arxiv.org/abs/2007.08821v1

    • [cs.DC]Containers Placement and Migration on Cloud System
    Oussama Smimite, Karim Afdel
    http://arxiv.org/abs/2007.08695v1

    • [cs.DC]EZLDA: Efficient and Scalable LDA on GPUs
    Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu
    http://arxiv.org/abs/2007.08725v1

    • [cs.DC]FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
    Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
    http://arxiv.org/abs/2007.08563v1

    • [cs.DC]Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing
    Diego Montezanti, Enzo Rucci, Armando De Giusti, Marcelo Naiouf, Dolores Rexachs, Emilio Luque
    http://arxiv.org/abs/2007.08552v1

    • [cs.DM]“Statistical Independence” versus “Logical Indetermination”, two ways of generating clustering criteria through couplings : Application to graphs modularization
    Pierre Bertrand, M Broniatowski, J. -F Marcotorchino
    http://arxiv.org/abs/2007.08820v1

    • [cs.GT]Learning Desirable Matchings From Partial Preferences
    Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar
    http://arxiv.org/abs/2007.09079v1

    • [cs.IR]Augmented Understanding and Automated Adaptation of Curation Rules
    Alireza Tabebordbar
    http://arxiv.org/abs/2007.08710v1

    • [cs.IR]Scalable Methods for Calculating Term Co-Occurrence Frequencies
    Bodo Billerbeck, Justin Zobel, Nicholas Lester, Nick Craswell
    http://arxiv.org/abs/2007.08709v1

    • [cs.IT]Age of Information: An Introduction and Survey
    Roy D. Yates, Yin Sun, D. Richard Brown III, Sanjit K. Kaul, Eytan Modiano, Sennur Ulukus
    http://arxiv.org/abs/2007.08564v1

    • [cs.IT]Analytical Derivation of Outage Correlation in Random Media Access with Application to Average Consensus in Wireless Networks: Extended Paper Version
    Daniel Schneider, Hannes Frey
    http://arxiv.org/abs/2007.09120v1

    • [cs.IT]Decoding up to 4 errors in Hyperbolic-like Abelian Codes by the Sakata Algorithm
    José Joaquín Bernal, Juan Jacobo Simón
    http://arxiv.org/abs/2007.09039v1

    • [cs.IT]Efficient Linear and Affine Codes for Correcting Insertions/Deletions
    Kuan Cheng, Venkatesan Guruswami, Bernhard Haeupler, Xin Li
    http://arxiv.org/abs/2007.09075v1

    • [cs.IT]Large random matrix approach for testing independence of a large number of Gaussian time series
    Philippe Loubaton, Alexis Rosuel
    http://arxiv.org/abs/2007.08806v1

    • [cs.IT]Maximum-Likelihood Channel Decoding with Quantum Annealing Machine
    Naoki Ide, Tetsuya Asayama, Hiroshi Ueno, Masayuki Ohzeki
    http://arxiv.org/abs/2007.08689v1

    • [cs.IT]On cosets weight distributions of the doubly-extended Reed-Solomon codes of codimension 4
    Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco
    http://arxiv.org/abs/2007.08798v1

    • [cs.IT]On the frequency domain detection of high dimensional time series
    A Rosuel, P. Vallet, P Loubaton, X. Mestre
    http://arxiv.org/abs/2007.08807v1

    • [cs.IT]Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication
    Sutanu Ghosh, Tamaghna Acharya, Santi P. Maity
    http://arxiv.org/abs/2007.08599v1

    • [cs.IT]Trajectory Design and Power Allocation for Drone-Assisted NR-V2X Network with Dynamic NOMA/OMA
    Omid Abbasi, Halim Yanikomeroglu, Afshin Ebrahimi, Nader Mokari Yamchi
    http://arxiv.org/abs/2007.09097v1

    • [cs.LG]$\texttt{sbi}$ — a toolkit for simulation-based inference
    Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann, Conor Durkan, Pedro J. Gonçalves, David S. Greenberg, Jakob H. Macke
    http://arxiv.org/abs/2007.09114v1

    • [cs.LG]A Differential Game Theoretic Neural Optimizer for Training Residual Networks
    Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
    http://arxiv.org/abs/2007.08880v1

    • [cs.LG]A Hölderian backtracking method for min-max and min-min problems
    Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier
    http://arxiv.org/abs/2007.08810v1

    • [cs.LG]A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum
    Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
    http://arxiv.org/abs/2007.08902v1

    • [cs.LG]Adaptive Gradient Methods for Constrained Convex Optimization
    Alina Ene, Huy L. Nguyen, Adrian Vladu
    http://arxiv.org/abs/2007.08840v1

    • [cs.LG]Bandits for BMO Functions
    Tianyu Wang, Cynthia Rudin
    http://arxiv.org/abs/2007.08703v1

    • [cs.LG]CoNES: Convex Natural Evolutionary Strategies
    Sushant Veer, Anirudha Majumdar
    http://arxiv.org/abs/2007.08601v1

    • [cs.LG]Collision Avoidance Robotics Via Meta-Learning (CARML)
    Abhiram Iyer, Aravind Mahadevan
    http://arxiv.org/abs/2007.08616v1

    • [cs.LG]CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
    Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
    http://arxiv.org/abs/2007.08848v1

    • [cs.LG]Discovering Reinforcement Learning Algorithms
    Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver
    http://arxiv.org/abs/2007.08794v1

    • [cs.LG]Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
    Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
    http://arxiv.org/abs/2007.08844v1

    • [cs.LG]Hybrid Discriminative-Generative Training via Contrastive Learning
    Hao Liu, Pieter Abbeel
    http://arxiv.org/abs/2007.09070v1

    • [cs.LG]Hyperparameter Selection for Offline Reinforcement Learning
    Tom Le Paine, Cosmin Paduraru, Andrea Michi, Caglar Gulcehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas
    http://arxiv.org/abs/2007.09055v1

    • [cs.LG]Knowledge Distillation in Deep Learning and its Applications
    Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
    http://arxiv.org/abs/2007.09029v1

    • [cs.LG]Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism
    Nataliya Sokolovska, Pierre-Henri Wuillemin
    http://arxiv.org/abs/2007.08812v1

    • [cs.LG]Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
    Gurhan Ceylan, S. Ilker Birbil
    http://arxiv.org/abs/2007.08986v1

    • [cs.LG]Multi-Stage Influence Function
    Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane Boning, Cho-Jui Hsieh
    http://arxiv.org/abs/2007.09081v1

    • [cs.LG]Partial local entropy and anisotropy in deep weight spaces
    Daniele Musso
    http://arxiv.org/abs/2007.09091v1

    • [cs.LG]Prioritized Multi-Criteria Federated Learning
    Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
    http://arxiv.org/abs/2007.08893v1

    • [cs.LG]Privacy-Preserving Distributed Learning in the Analog Domain
    Mahdi Soleymani, Hessam Mahdavifar, A. Salman Avestimehr
    http://arxiv.org/abs/2007.08803v1

    • [cs.LG]Probabilistic Active Meta-Learning
    Jean Kaddour, Steindór Sæmundsson, Marc Peter Deisenroth
    http://arxiv.org/abs/2007.08949v1

    • [cs.LG]Provably Consistent Partial-Label Learning
    Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama
    http://arxiv.org/abs/2007.08929v1

    • [cs.LG]Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
    Ricardo Ñanculef, Francisco Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori
    http://arxiv.org/abs/2007.08799v1

    • [cs.LG]Sequential Explanations with Mental Model-Based Policies
    Arnold YS Yeung, Shalmali Joshi, Joseph Jay Williams, Frank Rudzicz
    http://arxiv.org/abs/2007.09028v1

    • [cs.LG]Sequential Segment-based Level Generation and Blending using Variational Autoencoders
    Anurag Sarkar, Seth Cooper
    http://arxiv.org/abs/2007.08746v1

    • [cs.LG]Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
    Nir Ailon, Omer Leibovich, Vineet Nair
    http://arxiv.org/abs/2007.08864v1

    • [cs.LG]Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
    Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi
    http://arxiv.org/abs/2007.09087v1

    • [cs.LG]TUDataset: A collection of benchmark datasets for learning with graphs
    Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann
    http://arxiv.org/abs/2007.08663v1

    • [cs.LG]Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context
    Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo, Karen Elliott, Vladimiro Gonzalez Zelaya, Paolo Missier, Magdalene Ng, Aad van Moorsel
    http://arxiv.org/abs/2007.08911v1

    • [cs.LG]Training with reduced precision of a support vector machine model for text classification
    Dominik Żurek, Marcin Pietroń
    http://arxiv.org/abs/2007.08657v1

    • [cs.NE]A biological plausible audio-visual integration model for continual lifelong learning
    Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao
    http://arxiv.org/abs/2007.08855v1

    • [cs.NE]FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks
    Rachmad Vidya Wicaksana Putra, Muhammad Shafique
    http://arxiv.org/abs/2007.08860v1

    • [cs.RO]Task-oriented Motion Mapping on Robots of Various Configuration using Body Role Division
    Kazuhiro Sasabuchi, Naoki Wake, Katsushi Ikeuch
    http://arxiv.org/abs/2007.08750v1

    • [cs.RO]Verbal Focus-of-Attention System for Learning-from-Demonstration
    Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, Katsushi Ikeuchi
    http://arxiv.org/abs/2007.08705v1

    • [cs.SD]Unsupervised Representation Learning For Context of Vocal Music
    Camille Noufi, Prateek Verma, Jonathan Berger
    http://arxiv.org/abs/2007.09060v1

    • [cs.SI]Evaluating Community Detection Algorithms for Progressively Evolving Graphs
    Remy Cazabet, Souaad Boudebza, Giulio Rossetti
    http://arxiv.org/abs/2007.08635v1

    • [cs.SI]Improved Approximation Factor for Adaptive Influence Maximization via Simple Greedy Strategies
    Gianlorenzo D’Angelo, Debashmita Poddar, Cosimo Vinci
    http://arxiv.org/abs/2007.09065v1

    • [cs.SI]Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María
    Benjamin Freixas Emery, Meredith T. Niles, Christopher M. Danforth, Peter Sheridan Dodds
    http://arxiv.org/abs/2007.09124v1

    • [cs.SI]Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
    Qiang Liu, Haoli Zhang, Zhaocheng Liu
    http://arxiv.org/abs/2007.09036v1

    • [eess.AS]Neural Architecture Search for Speech Recognition
    Shoukang Hu, Xurong Xie, Shansong Liu, Mengzhe Geng, Xunying Liu, Helen Meng
    http://arxiv.org/abs/2007.08818v1

    • [eess.IV]Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
    Serkan Sulun, A. Murat Tekalp
    http://arxiv.org/abs/2007.08922v1

    • [eess.IV]Channel-wise Autoregressive Entropy Models for Learned Image Compression
    David Minnen, Saurabh Singh
    http://arxiv.org/abs/2007.08739v1

    • [eess.IV]Deep Small Bowel Segmentation with Cylindrical Topological Constraints
    Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
    http://arxiv.org/abs/2007.08674v1

    • [eess.IV]Revisiting Rubik’s Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation
    Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2007.08826v1

    • [eess.IV]Spatial Resolution Enhancement of Remote Sensing Mine Images using Deep Learning Techniques
    E. Zioga, A. Panagiotopoulou, M. Stefouli, E. Charou, L. Grammatikopoulos, E. Bratsolis, N. Madamopoulos
    http://arxiv.org/abs/2007.08791v1

    • [eess.SP]Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
    Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao
    http://arxiv.org/abs/2007.08691v1

    • [eess.SP]Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment
    Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenbo Li, Zejian Deng, Yalian Yang
    http://arxiv.org/abs/2007.09101v1

    • [eess.SP]Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle
    Xiaowei Guo, Teng Liu, Bangbei Tang, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Shufeng Jin
    http://arxiv.org/abs/2007.08690v1

    • [math.CO]Vertex distinction with subgraph centrality: a proof of Estrada’s conjecture and some generalizations
    Francesco Ballini, Nikita Deniskin
    http://arxiv.org/abs/2007.08956v1

    • [math.NA]Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis
    Arnab Auddy, Ming Yuan
    http://arxiv.org/abs/2007.09024v1

    • [math.PR]Asymptotic Behaviour of the Empirical Distance Covariance for Dependent Data
    Marius Kroll
    http://arxiv.org/abs/2007.08936v1

    • [math.ST]Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes
    Emily C. Hector, Peter X. -K. Song
    http://arxiv.org/abs/2007.08588v1

    • [physics.soc-ph]An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China
    Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
    http://arxiv.org/abs/2007.08254v2

    • [q-bio.PE]Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference
    Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye, Tom A. Williams, T. Martin Embley
    http://arxiv.org/abs/2007.08511v2

    • [q-fin.ST]Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets
    Matthieu Garcin, Jules Klein, Sana Laaribi
    http://arxiv.org/abs/2007.09043v1

    • [stat.AP]Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service
    Panayotis Papoutsis, Bertrand Michel, Anne Philippe, Tarn Duong
    http://arxiv.org/abs/2007.08962v1

    • [stat.AP]Capacity Value of Solar Power and Other Variable Generation
    S. Awara, M. Lynch, S. Pfenninger, K. Schell, R. Sioshansi, I. Staffell, N. Samaan, S. H. Tindemans, A. L. Wilson, S. Zachary, H. Zareipour, C. J. Dent
    http://arxiv.org/abs/2007.09015v1

    • [stat.AP]Estimating COVID-19 cases and reproduction number in Mexico
    Michelle Anzarut, Luis Felipe González, Sonia Mendizábal, María Teresa Ortiz
    http://arxiv.org/abs/2007.09117v1

    • [stat.AP]Functional clustering methods for resistance spot welding process data in the automotive industry
    Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo
    http://arxiv.org/abs/2007.09128v1

    • [stat.AP]Hospital Quality Risk Standardization via Approximate Balancing Weights
    Luke Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz, Luke Miratrix
    http://arxiv.org/abs/2007.09056v1

    • [stat.AP]Inference for partially observed epidemic dynamics guided by Kalman filtering techniques
    Romain Narci, Maud Delattre, Catherine Larédo, Elisabeta Vergu
    http://arxiv.org/abs/2007.08974v1

    • [stat.AP]Integration of Survival Data from Multiple Studies
    Steffen Ventz, Rahul Mazumder, Lorenzo Trippa
    http://arxiv.org/abs/2007.08594v1

    • [stat.ME]A network approach to item response data: Development and applications of latent space item response models
    Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger, Samuel Baugh
    http://arxiv.org/abs/2007.08719v1

    • [stat.ME]Coefficients of Determination for Mixed-Effects Models
    Dabao Zhang
    http://arxiv.org/abs/2007.08675v1

    • [stat.ME]Extended Stochastic Block Models
    Sirio Legramanti, Tommaso Rigon, Daniele Durante, David B. Dunson
    http://arxiv.org/abs/2007.08569v1

    • [stat.ME]Joint inference on extreme expectiles for multivariate heavy-tailed distributions
    Simone A. Padoan, Gilles Stupfler
    http://arxiv.org/abs/2007.08944v1

    • [stat.ME]Predict Number of Future Failures
    Qinglong Tian, Fanqi Meng, Daniel J. Nordman, William Q. Meeker
    http://arxiv.org/abs/2007.08648v1

    • [stat.ML]A Fourier State Space Model for Bayesian ODE Filters
    Hans Kersting, Maren Mahsereci
    http://arxiv.org/abs/2007.09118v1

    • [stat.ML]Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review
    Tommaso Dorigo, Pablo de Castro
    http://arxiv.org/abs/2007.09121v1

    • [stat.ML]Uncertainty Quantification and Deep Ensembles
    Rahul Rahaman, Alexandre H. Thiery
    http://arxiv.org/abs/2007.08792v1

    • [stat.ML]Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
    Yu Liang, Arin Chaudhuri, Haoyu Wang
    http://arxiv.org/abs/2007.08711v1