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