cond-mat.dis-nn - 无序系统与神经网络

    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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 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

    • [cond-mat.dis-nn]Theory of gating in recurrent neural networks
    • [cs.AI]Bayesian preference elicitation for multiobjective combinatorial optimization
    • [cs.AI]The Tractability of SHAP-scores over Deterministic and Decomposable Boolean Circuits
    • [cs.CL]#Brexit: Leave or Remain? The Role of User’s Community and Diachronic Evolution on Stance Detection
    • [cs.CL]Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
    • [cs.CL]Development of POS tagger for English-Bengali Code-Mixed data
    • [cs.CL]GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection
    • [cs.CL]Measuring prominence of scientific work in online news as a proxy for impact
    • [cs.CL]Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
    • [cs.CL]Object-and-Action Aware Model for Visual Language Navigation
    • [cs.CL]Towards Ecologically Valid Research on Language User Interfaces
    • [cs.CR]Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
    • [cs.CV]$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
    • [cs.CV]A Convolutional Neural Network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children
    • [cs.CV]A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
    • [cs.CV]A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph
    • [cs.CV]Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
    • [cs.CV]AiR: Attention with Reasoning Capability
    • [cs.CV]BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
    • [cs.CV]Camera-Based Piano Sheet Music Identification
    • [cs.CV]Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
    • [cs.CV]Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
    • [cs.CV]Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images
    • [cs.CV]Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning
    • [cs.CV]Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
    • [cs.CV]Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images
    • [cs.CV]Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
    • [cs.CV]Dynamic Character Graph via Online Face Clustering for Movie Analysis
    • [cs.CV]Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
    • [cs.CV]Enriching Video Captions With Contextual Text
    • [cs.CV]Face2Face: Real-time Face Capture and Reenactment of RGB Videos
    • [cs.CV]Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship
    • [cs.CV]Learning Video Representations from Textual Web Supervision
    • [cs.CV]Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
    • [cs.CV]Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation
    • [cs.CV]MessyTable: Instance Association in Multiple Camera Views
    • [cs.CV]Meta-Learning with Context-Agnostic Initialisations
    • [cs.CV]Online Visual Place Recognition via Saliency Re-identification
    • [cs.CV]Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
    • [cs.CV]Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework
    • [cs.CV]Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods
    • [cs.CV]SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
    • [cs.CV]Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
    • [cs.CV]Spatio-temporal Consistency to Detect Potential Aedes aegypti Breeding Grounds in Aerial Video Sequences
    • [cs.CV]Stylized Adversarial Defense
    • [cs.CV]The Unsupervised Method of Vessel Movement Trajectory Prediction
    • [cs.CV]Translate the Facial Regions You Like Using Region-Wise Normalization
    • [cs.CV]Unsupervised Learning of Particle Image Velocimetry
    • [cs.CV]What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle
    • [cs.CY]A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media
    • [cs.CY]A user-centered approach to designing an experimental laboratory data platform
    • [cs.CY]Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI
    • [cs.CY]Intersectional Affirmative Action Policies for Top-k Candidates Selection
    • [cs.CY]Simulator as a Tool for the Future Maritime Education and Research: A Discussion
    • [cs.CY]Substituting Restorative Benefits of Being Outdoors through Interactive Augmented Spatial Soundscapes
    • [cs.CY]Towards Domain-Specific Characterization of Misinformation
    • [cs.DC]DiLeNA: Distributed Ledger Network Analyzer
    • [cs.DC]Expansion and Flooding in Dynamic Random Networks with Node Churn
    • [cs.DC]Reliable Broadcast in Practical Networks: Algorithm and Evaluation
    • [cs.DL]Finding Scientific Communities In Citation Graphs: Convergent Clustering
    • [cs.DS]Deterministic Distributed Expander Decomposition and Routing with Applications in Distributed Derandomization
    • [cs.GT]Paid Prioritization with Content Competition
    • [cs.HC]Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
    • [cs.HC]Modeling Behaviour to Predict User State: Self-Reports as Ground Truth
    • [cs.IR]An Adaptive Educational eLearning System based on Semantics, Ontologies Matching and Recomentation System
    • [cs.IR]On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
    • [cs.IT]Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model
    • [cs.IT]Constructing Partial MDS Codes from Reducible Curves
    • [cs.IT]Feedback Capacities of Gaussian Multiple-Access Wiretap Channels
    • [cs.IT]New Constructions of Optimal Cyclic (r,δ) Locally Repairable Codes from Their Zeros
    • [cs.IT]On the Path-Loss of Reconfigurable Intelligent Surfaces: An Approach Based on Green’s Theorem Applied to Vector Fields
    • [cs.IT]On the constructions of $n$-cycle permutations
    • [cs.IT]Optimized Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation
    • [cs.IT]Probabilistic Massive MIMO Channel Estimation with Built-in Parameter Estimation
    • [cs.IT]Two Dimensional $\left( α,β\right) $-Constacyclic Codes of arbitrary length over a Finite Field
    • [cs.LG]A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
    • [cs.LG]A regularized deep matrix factorized model of matrix completion for image restoration
    • [cs.LG]Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data
    • [cs.LG]Almost exact recovery in noisy semi-supervised learning
    • [cs.LG]Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods
    • [cs.LG]Approximation Based Variance Reduction for Reparameterization Gradients
    • [cs.LG]Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
    • [cs.LG]Compressing Deep Neural Networks via Layer Fusion
    • [cs.LG]Decoding machine learning benchmarks
    • [cs.LG]Diagnosing Concept Drift with Visual Analytics
    • [cs.LG]Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
    • [cs.LG]Fibonacci and k-Subsecting Recursive Feature Elimination
    • [cs.LG]Force myography benchmark data for hand gesture recognition and transfer learning
    • [cs.LG]Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge
    • [cs.LG]Improving Recurrent Neural Network Responsiveness to Acute Clinical Events
    • [cs.LG]Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
    • [cs.LG]Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
    • [cs.LG]Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
    • [cs.LG]Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize
    • [cs.LG]Munchausen Reinforcement Learning
    • [cs.LG]On the Use of Interpretable Machine Learning for the Management of Data Quality
    • [cs.LG]Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
    • [cs.LG]Truncated Linear Regression in High Dimensions
    • [cs.LG]When and why PINNs fail to train: A neural tangent kernel perspective
    • [cs.MA]Adaptive Workload Allocation for Multi-human Multi-robot Teams for Independent and Homogeneous Tasks
    • [cs.NE]Performance Analysis of Meta-heuristic Algorithms for a Quadratic Assignment Problem
    • [cs.NE]Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19
    • [cs.RO]3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views — with Application to Fire-fighting Robots
    • [cs.RO]A Development Cycle for Automated Self-Exploration of Robot Behaviors
    • [cs.RO]A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction
    • [cs.RO]An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
    • [cs.RO]Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways
    • [cs.RO]Learning Object-conditioned Exploration using Distributed Soft Actor Critic
    • [cs.RO]Learning Transferable Push Manipulation Skills in Novel Contexts
    • [cs.RO]Lifelong Navigation
    • [cs.RO]Mechatronics-Driven Musical Expressivity for Robotic Percussionists
    • [cs.RO]Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
    • [cs.RO]Predictive Probability Path Planning Model For Dynamic Environments
    • [cs.RO]Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning
    • [cs.RO]Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
    • [cs.RO]SplitFlyer: a Modular Quadcoptor that Disassembles into Two Flying Robots
    • [cs.RO]Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
    • [cs.RO]Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
    • [cs.RO]Towards Collaborative Drilling with a Cobot Using Admittance Controller
    • [cs.RO]Towards Cooperative Transport of a Suspended Payload via Two Aerial Robots with Inertial Sensing
    • [cs.RO]Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics
    • [cs.SE]Advancing Visual Specification of Code Requirements for Graphs
    • [cs.SI]Calibration of Google Trends Time Series
    • [cs.SI]CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
    • [cs.SI]Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
    • [cs.SI]Scalable Estimation of Epidemic Thresholds via Node Sampling
    • [econ.GN]Are Less Developed Countries More Likely to Manipulate Data During Pandemics? Evidence from Newcomb-Benford Law
    • [eess.AS]End-to-End Adversarial White Box Attacks on Music Instrument Classification
    • [eess.AS]Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics
    • [eess.IV]Accurate 2D soft segmentation of medical image via SoftGAN network
    • [eess.IV]COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
    • [eess.IV]Decompose X-ray Images for Bone and Soft Tissue
    • [eess.IV]Enhancement of Retinal Fundus Images via Pixel Color Amplification
    • [eess.IV]Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
    • [eess.IV]Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
    • [eess.IV]Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data
    • [eess.IV]On the unreasonable effectiveness of CNNs
    • [eess.IV]PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
    • [eess.IV]Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
    • [eess.IV]Solving Phase Retrieval with a Learned Reference
    • [eess.IV]TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
    • [eess.IV]Video compression with low complexity CNN-based spatial resolution adaptation
    • [eess.SP]DeepMP for Non-Negative Sparse Decomposition
    • [eess.SP]Energy Efficiency and Hover Time Optimization in UAV-based HetNets
    • [math.OC]An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems
    • [math.OC]Stable Community Structures and Social Exclusion
    • [math.PR]Ergodicity of the underdamped mean-field Langevin dynamics
    • [math.ST]Asymptotically Equivalent Prediction in Multivariate Geostatistics
    • [math.ST]Distribution sensitive estimators of the index of regular variation based on ratios of order statistics
    • [math.ST]Equivalence theorems for compound design problems with application in mixed models
    • [math.ST]Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-$t$ distribution
    • [math.ST]On Accuracy and Coherence with Infinite Opinion Sets
    • [math.ST]Quickest Detection of Moving Anomalies in Sensor Networks
    • [math.ST]Stochastic approximation algorithms for superquantiles estimation
    • [physics.soc-ph]The Contact Network of Mexico City
    • [q-bio.NC]A new GPU library for fast simulation of large-scale networks of spiking neurons
    • [q-bio.PE]Learning enables adaptation in cooperation for multi-player stochastic games
    • [q-bio.QM]A calibration-free method for biosensing in cell manufacturing
    • [q-bio.QM]Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial Ontologies
    • [q-bio.QM]Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability
    • [q-bio.QM]Network resilience
    • [quant-ph]On the Quantum versus Classical Learnability of Discrete Distributions
    • [quant-ph]Ultimate limits for multiple quantum channel discrimination
    • [stat.AP]Are NBA players getting paid according to their performance on court?
    • [stat.AP]Objective frequentist uncertainty quantification for atmospheric CO$_2$ retrievals
    • [stat.AP]Robust variable selection for model-based learning in presence of adulteration
    • [stat.ME]Bayesian Context Trees: Modelling and exact inference for discrete time series
    • [stat.ME]Clustering Brain Signals: A Robust Approach Using Functional Data Ranking
    • [stat.ME]Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models
    • [stat.ME]Estimation of local treatment under the binary instrumental variable model
    • [stat.ME]Robust and Reproducible Model Selection Using Bagged Posteriors
    • [stat.ME]Spatially dependent mixture models via the Logistic Multivariate CAR prior
    • [stat.ML]Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
    • [stat.ML]Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures
    • [stat.ML]Learning Output Embeddings in Structured Prediction
    • [stat.ML]SAFER: Sparse secure Aggregation for FEderated leaRning
    • [stat.ML]Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms
    • [stat.ML]Visualizing classification results

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    • [cond-mat.dis-nn]Theory of gating in recurrent neural networks
    Kamesh Krishnamurthy, Tankut Can, David J. Schwab
    http://arxiv.org/abs/2007.14823v1

    • [cs.AI]Bayesian preference elicitation for multiobjective combinatorial optimization
    Nadjet Bourdache, Patrice Perny, Olivier Spanjaard
    http://arxiv.org/abs/2007.14778v1

    • [cs.AI]The Tractability of SHAP-scores over Deterministic and Decomposable Boolean Circuits
    Marcelo Arenas, Pablo Barceló Leopoldo Bertossi, Mikaël Monet
    http://arxiv.org/abs/2007.14045v1

    • [cs.CL]#Brexit: Leave or Remain? The Role of User’s Community and Diachronic Evolution on Stance Detection
    Mirko Lai, Viviana Patti, Giancarlo Ruffo, Paolo Rosso
    http://arxiv.org/abs/2007.14936v1

    • [cs.CL]Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
    Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz
    http://arxiv.org/abs/2007.14640v1

    • [cs.CL]Development of POS tagger for English-Bengali Code-Mixed data
    Tathagata Raha, Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
    http://arxiv.org/abs/2007.14576v1

    • [cs.CL]GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection
    Sajad Sotudeh, Tong Xiang, Hao-Ren Yao, Sean MacAvaney, Eugene Yang, Nazli Goharian, Ophir Frieder
    http://arxiv.org/abs/2007.14477v1

    • [cs.CL]Measuring prominence of scientific work in online news as a proxy for impact
    James Ravenscroft, Amanda Clare, Maria Liakata
    http://arxiv.org/abs/2007.14454v1

    • [cs.CL]Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
    Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney
    http://arxiv.org/abs/2007.14966v1

    • [cs.CL]Object-and-Action Aware Model for Visual Language Navigation
    Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu
    http://arxiv.org/abs/2007.14626v1

    • [cs.CL]Towards Ecologically Valid Research on Language User Interfaces
    Harm de Vries, Dzmitry Bahdanau, Christopher Manning
    http://arxiv.org/abs/2007.14435v1

    • [cs.CR]Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
    Song Liao, Christin Wilson, Long Cheng, Hongxin Hu, Huixing Deng
    http://arxiv.org/abs/2007.14570v1

    • [cs.CV]$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
    Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia
    http://arxiv.org/abs/2007.14511v1

    • [cs.CV]A Convolutional Neural Network for gaze preference detection: A potential tool for diagnostics of autism spectrum disorder in children
    Dennis Núñez Fernández, Franklin Barrientos Porras, Robert H. Gilman, Macarena Vittet Mondonedo, Patricia Sheen, Mirko Zimic
    http://arxiv.org/abs/2007.14432v1

    • [cs.CV]A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
    Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani
    http://arxiv.org/abs/2007.14524v1

    • [cs.CV]A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph
    Zongqian Zhan, Wenjie Jian, Yihui Li, Xin Wang, Yang Yue
    http://arxiv.org/abs/2007.14592v1

    • [cs.CV]Active Learning for Video Description With Cluster-Regularized Ensemble Ranking
    David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John Canny
    http://arxiv.org/abs/2007.13913v2

    • [cs.CV]AiR: Attention with Reasoning Capability
    Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao
    http://arxiv.org/abs/2007.14419v1

    • [cs.CV]BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
    Yu Yao, Ella Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du
    http://arxiv.org/abs/2007.14558v1

    • [cs.CV]Camera-Based Piano Sheet Music Identification
    Daniel Yang, TJ Tsai
    http://arxiv.org/abs/2007.14579v1

    • [cs.CV]Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
    Xiaoyu Zhang, Ajmal Mian, Rohit Gupta, Nazanin Rahnavard, Mubarak Shah
    http://arxiv.org/abs/2007.14433v1

    • [cs.CV]Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
    Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu
    http://arxiv.org/abs/2007.14557v1

    • [cs.CV]Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images
    Shuting Liao, Li-Yu Liu, Ting-An Chen, Kuang-Yu Chen, Fushing Hsieh
    http://arxiv.org/abs/2007.14485v1

    • [cs.CV]Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning
    Tianyu Liu
    http://arxiv.org/abs/2007.14552v1

    • [cs.CV]Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
    TJ Tsai, Kevin Ji
    http://arxiv.org/abs/2007.14587v1

    • [cs.CV]Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images
    Lei Bi, Jinman Kim, Tingwei Su, Michael Fulham, David Dagan Feng, Guang Ning
    http://arxiv.org/abs/2007.14625v1

    • [cs.CV]Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
    Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
    http://arxiv.org/abs/2007.14848v1

    • [cs.CV]Dynamic Character Graph via Online Face Clustering for Movie Analysis
    Prakhar Kulshreshtha, Tanaya Guha
    http://arxiv.org/abs/2007.14913v1

    • [cs.CV]Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
    Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang
    http://arxiv.org/abs/2007.14690v1

    • [cs.CV]Enriching Video Captions With Contextual Text
    Philipp Rimle, Pelin Dogan, Markus Gross
    http://arxiv.org/abs/2007.14682v1

    • [cs.CV]Face2Face: Real-time Face Capture and Reenactment of RGB Videos
    Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner
    http://arxiv.org/abs/2007.14808v1

    • [cs.CV]Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship
    Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu
    http://arxiv.org/abs/2007.14509v1

    • [cs.CV]Learning Video Representations from Textual Web Supervision
    Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid
    http://arxiv.org/abs/2007.14937v1

    • [cs.CV]Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
    M. Naseer Subhani, Mohsen Ali
    http://arxiv.org/abs/2007.14449v1

    • [cs.CV]Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation
    Rui Li, Chenxi Duan, Shunyi Zheng
    http://arxiv.org/abs/2007.14902v1

    • [cs.CV]MessyTable: Instance Association in Multiple Camera Views
    Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy
    http://arxiv.org/abs/2007.14878v1

    • [cs.CV]Meta-Learning with Context-Agnostic Initialisations
    Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen
    http://arxiv.org/abs/2007.14658v1

    • [cs.CV]Online Visual Place Recognition via Saliency Re-identification
    Han Wang, Chen Wang, Lihua Xie
    http://arxiv.org/abs/2007.14549v1

    • [cs.CV]Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
    Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S Duncan
    http://arxiv.org/abs/2007.14589v1

    • [cs.CV]Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework
    Vishal Kaushal, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan
    http://arxiv.org/abs/2007.14560v1

    • [cs.CV]Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods
    Andrea De Maio, Simon Lacroix
    http://arxiv.org/abs/2007.14943v1

    • [cs.CV]SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
    Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
    http://arxiv.org/abs/2007.14772v1

    • [cs.CV]Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
    Dylan Campbell, Liu Liu, Stephen Gould
    http://arxiv.org/abs/2007.14628v1

    • [cs.CV]Spatio-temporal Consistency to Detect Potential Aedes aegypti Breeding Grounds in Aerial Video Sequences
    Wesley L. Passos, Eduardo A. B. da Silva, Sergio L. Netto, Gabriel M. Araujo, Amaro A. de Lima
    http://arxiv.org/abs/2007.14863v1

    • [cs.CV]Stylized Adversarial Defense
    Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli
    http://arxiv.org/abs/2007.14672v1

    • [cs.CV]The Unsupervised Method of Vessel Movement Trajectory Prediction
    Chih-Wei Chen, Charles Harrison, Hsin-Hsiung Huang
    http://arxiv.org/abs/2007.13712v3

    • [cs.CV]Translate the Facial Regions You Like Using Region-Wise Normalization
    Wenshuang Liu, Wenting Chen, Linlin Shen
    http://arxiv.org/abs/2007.14615v1

    • [cs.CV]Unsupervised Learning of Particle Image Velocimetry
    Mingrui Zhang, Matthew D. Piggott
    http://arxiv.org/abs/2007.14487v1

    • [cs.CV]What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle
    Cédric Picron, Punarjay Chakravarty, Tom Roussel, Tinne Tuytelaars
    http://arxiv.org/abs/2007.14812v1

    • [cs.CY]A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media
    Soham Poddar, Mainack Mondal, Saptarshi Ghosh
    http://arxiv.org/abs/2007.14910v1

    • [cs.CY]A user-centered approach to designing an experimental laboratory data platform
    Ha-Kyung Kwon, Chirranjeevi Balaji Gopal, Jared Kirschner, Santiago Caicedo, Brian D. Storey
    http://arxiv.org/abs/2007.14443v1

    • [cs.CY]Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI
    Marek Havrda, Bogdana Rakova
    http://arxiv.org/abs/2007.14826v1

    • [cs.CY]Intersectional Affirmative Action Policies for Top-k Candidates Selection
    Giorgio Barnabo’, Carlos Castillo, Michael Mathioudakis, Sergio Celis
    http://arxiv.org/abs/2007.14775v1

    • [cs.CY]Simulator as a Tool for the Future Maritime Education and Research: A Discussion
    Yushan Pan, Arnfinn Oksavik, Hans Petter Hildre
    http://arxiv.org/abs/2007.14732v1

    • [cs.CY]Substituting Restorative Benefits of Being Outdoors through Interactive Augmented Spatial Soundscapes
    Swapna Joshi, Kostas Stavrianakis, Sanchari Das
    http://arxiv.org/abs/2007.13188v2

    • [cs.CY]Towards Domain-Specific Characterization of Misinformation
    Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul
    http://arxiv.org/abs/2007.14806v1

    • [cs.DC]DiLeNA: Distributed Ledger Network Analyzer
    Luca Serena, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2007.14644v1

    • [cs.DC]Expansion and Flooding in Dynamic Random Networks with Node Churn
    Luca Becchetti, Andrea Clementi, Francesco Pasquale, Luca Trevisan, Isabella Ziccardi
    http://arxiv.org/abs/2007.14681v1

    • [cs.DC]Reliable Broadcast in Practical Networks: Algorithm and Evaluation
    Yingjian Wu, Haochen Pan, Saptaparni Kumar, Lewis Tseng
    http://arxiv.org/abs/2007.14990v1

    • [cs.DL]Finding Scientific Communities In Citation Graphs: Convergent Clustering
    Shreya Chandrasekharan, Mariam Zaka, Stephen Gallo, Tandy Warnow, George Chacko
    http://arxiv.org/abs/2007.14452v1

    • [cs.DS]Deterministic Distributed Expander Decomposition and Routing with Applications in Distributed Derandomization
    Yi-Jun Chang, Thatchaphol Saranurak
    http://arxiv.org/abs/2007.14898v1

    • [cs.GT]Paid Prioritization with Content Competition
    Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang
    http://arxiv.org/abs/2007.14574v1

    • [cs.HC]Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
    Milagros Miceli, Martin Schuessler, Tianling Yang
    http://arxiv.org/abs/2007.14886v1

    • [cs.HC]Modeling Behaviour to Predict User State: Self-Reports as Ground Truth
    Julian Frommel, Regan L Mandryk
    http://arxiv.org/abs/2007.14461v1

    • [cs.IR]An Adaptive Educational eLearning System based on Semantics, Ontologies Matching and Recomentation System
    Vasiliki Demertzi, Konstantinos Demertzis
    http://arxiv.org/abs/2007.14771v1

    • [cs.IR]On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
    Ravi Kiran Selvam, Mayank Kejriwal
    http://arxiv.org/abs/2007.13829v1

    • [cs.IT]Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model
    Congshan Fan, Tiankui Zhang, Yuanwei Liu, Zhiming Zeng
    http://arxiv.org/abs/2007.14938v1

    • [cs.IT]Constructing Partial MDS Codes from Reducible Curves
    Tristram Bogart, Anna-Lena Horlemann-Trautmann, David Karpuk, Alessandro Neri, Mauricio Velasco
    http://arxiv.org/abs/2007.14829v1

    • [cs.IT]Feedback Capacities of Gaussian Multiple-Access Wiretap Channels
    Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai
    http://arxiv.org/abs/2007.14555v1

    • [cs.IT]New Constructions of Optimal Cyclic (r,δ) Locally Repairable Codes from Their Zeros
    Jing Qiu, Dabin Zheng, Fang-Wei Fu
    http://arxiv.org/abs/2007.14752v1

    • [cs.IT]On the Path-Loss of Reconfigurable Intelligent Surfaces: An Approach Based on Green’s Theorem Applied to Vector Fields
    Fadil H. Danufane, Marco Di Renzo, Julien de Rosny, Sergei Tretyakov
    http://arxiv.org/abs/2007.13158v2

    • [cs.IT]On the constructions of $n$-cycle permutations
    Yuting Chen, Liqi Wang, Shixin Zhu
    http://arxiv.org/abs/2007.14865v1

    • [cs.IT]Optimized Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation
    Feng Wang, Jie Xu
    http://arxiv.org/abs/2007.14730v1

    • [cs.IT]Probabilistic Massive MIMO Channel Estimation with Built-in Parameter Estimation
    Shuai Huang, Trac D. Tran
    http://arxiv.org/abs/2007.14564v1

    • [cs.IT]Two Dimensional $\left( α,β\right) $-Constacyclic Codes of arbitrary length over a Finite Field
    Swati Bhardwaj, Madhu Raka
    http://arxiv.org/abs/2007.14921v1

    • [cs.LG]A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach
    Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach
    http://arxiv.org/abs/2007.14805v1

    • [cs.LG]A regularized deep matrix factorized model of matrix completion for image restoration
    Zhemin Li, Zhi-Qin John Xu, Tao Luo, Hongxia Wang
    http://arxiv.org/abs/2007.14581v1

    • [cs.LG]Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data
    Kai Steverson, Jonathan Mullin, Metin Ahiskali
    http://arxiv.org/abs/2007.14983v1

    • [cs.LG]Almost exact recovery in noisy semi-supervised learning
    Konstantin Avrachenkov, Maximilien Dreveton
    http://arxiv.org/abs/2007.14717v1

    • [cs.LG]Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods
    Yusuf Yazici
    http://arxiv.org/abs/2007.14622v1

    • [cs.LG]Approximation Based Variance Reduction for Reparameterization Gradients
    Tomas Geffner, Justin Domke
    http://arxiv.org/abs/2007.14634v1

    • [cs.LG]Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
    Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
    http://arxiv.org/abs/2007.14612v1

    • [cs.LG]Compressing Deep Neural Networks via Layer Fusion
    James O’ Neill, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/2007.14917v1

    • [cs.LG]Decoding machine learning benchmarks
    Lucas F. F. Cardoso, Vitor C. A. Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie C. O. Alves
    http://arxiv.org/abs/2007.14870v1

    • [cs.LG]Diagnosing Concept Drift with Visual Analytics
    Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu
    http://arxiv.org/abs/2007.14372v2

    • [cs.LG]Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
    Masashi Okada, Tadahiro Taniguchi
    http://arxiv.org/abs/2007.14535v1

    • [cs.LG]Fibonacci and k-Subsecting Recursive Feature Elimination
    Dariusz Brzezinski
    http://arxiv.org/abs/2007.14920v1

    • [cs.LG]Force myography benchmark data for hand gesture recognition and transfer learning
    Thomas Buhl Andersen, Rógvi Eliasen, Mikkel Jarlund, Bin Yang
    http://arxiv.org/abs/2007.14918v1

    • [cs.LG]Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge
    Chaoyang He, Salman Avestimehr, Murali Annavaram
    http://arxiv.org/abs/2007.14513v1

    • [cs.LG]Improving Recurrent Neural Network Responsiveness to Acute Clinical Events
    David Ledbetter, Eugene Laksana, Melissa Aczon, Randall Wetzel
    http://arxiv.org/abs/2007.14520v1

    • [cs.LG]Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
    Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
    http://arxiv.org/abs/2007.14573v1

    • [cs.LG]Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
    J. Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
    http://arxiv.org/abs/2007.14706v1

    • [cs.LG]Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
    Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-bert
    http://arxiv.org/abs/2007.14761v1

    • [cs.LG]Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize
    Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu
    http://arxiv.org/abs/2007.14546v1

    • [cs.LG]Munchausen Reinforcement Learning
    Nino Vieillard, Olivier Pietquin, Matthieu Geist
    http://arxiv.org/abs/2007.14430v1

    • [cs.LG]On the Use of Interpretable Machine Learning for the Management of Data Quality
    Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos
    http://arxiv.org/abs/2007.14677v1

    • [cs.LG]Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
    Lars Hertel, Pierre Baldi, Daniel L. Gillen
    http://arxiv.org/abs/2007.14604v1

    • [cs.LG]Truncated Linear Regression in High Dimensions
    Constantinos Daskalakis, Dhruv Rohatgi, Manolis Zampetakis
    http://arxiv.org/abs/2007.14539v1

    • [cs.LG]When and why PINNs fail to train: A neural tangent kernel perspective
    Sifan Wang, Xinling Yu, Paris Perdikaris
    http://arxiv.org/abs/2007.14527v1

    • [cs.MA]Adaptive Workload Allocation for Multi-human Multi-robot Teams for Independent and Homogeneous Tasks
    Tamzidul Mina, Shyam Sundar Kannan, Wonse Jo, Byung-Cheol Min
    http://arxiv.org/abs/2007.13897v1

    • [cs.NE]Performance Analysis of Meta-heuristic Algorithms for a Quadratic Assignment Problem
    Zohreh Raziei, Reza Tavakkoli-Moghaddam, Siavash Tabrizian
    http://arxiv.org/abs/2007.14885v1

    • [cs.NE]Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19
    Chen-Xin Wu, Min-Hui Liao, Mumtaz Karatas, Sheng-Yong Chen, Yu-Jun Zheng
    http://arxiv.org/abs/2007.14055v1

    • [cs.RO]3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views — with Application to Fire-fighting Robots
    Yuncong Chen, Will Warren
    http://arxiv.org/abs/2007.14606v1

    • [cs.RO]A Development Cycle for Automated Self-Exploration of Robot Behaviors
    Thomas M. Roehr, Daniel Harnack, Hendrik Wöhrle, Felix Wiebe, Moritz Schilling, Oscar Lima, Malte Langosz, Shivesh Kumar, Sirko Straube, Frank Kirchner
    http://arxiv.org/abs/2007.14928v1

    • [cs.RO]A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction
    Richard Savery, Gil Weinberg
    http://arxiv.org/abs/2007.14838v1

    • [cs.RO]An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
    Akhil Nagariya, Srikanth Saripalli
    http://arxiv.org/abs/2007.14492v1

    • [cs.RO]Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways
    Salar Arbabi, Shilp Dixit, Ziyao Zheng, David Oxtoby, Alexandros Mouzakitis, Saber Fallah
    http://arxiv.org/abs/2007.14032v2

    • [cs.RO]Learning Object-conditioned Exploration using Distributed Soft Actor Critic
    Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
    http://arxiv.org/abs/2007.14545v1

    • [cs.RO]Learning Transferable Push Manipulation Skills in Novel Contexts
    Rhys Howard, Claudio Zito
    http://arxiv.org/abs/2007.14755v1

    • [cs.RO]Lifelong Navigation
    Bo Liu, Xuesu Xiao, Peter Stone
    http://arxiv.org/abs/2007.14486v1

    • [cs.RO]Mechatronics-Driven Musical Expressivity for Robotic Percussionists
    Ning Yang, Richard Savery, Raghavasimhan Sankaranarayanan, Lisa Zahray, Gil Weinberg
    http://arxiv.org/abs/2007.14850v1

    • [cs.RO]Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
    Tianming Wang, Wenjie Lu, Huan Yu, Dikai Liu
    http://arxiv.org/abs/2007.14646v1

    • [cs.RO]Predictive Probability Path Planning Model For Dynamic Environments
    Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna
    http://arxiv.org/abs/2007.14603v1

    • [cs.RO]Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning
    Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francisco Ferraro, Cynthia Matuszek
    http://arxiv.org/abs/2007.14987v1

    • [cs.RO]Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
    Yunus Bicer, Ali Alizadeh, Nazim Kemal Ure, Ahmetcan Erdogan, Orkun Kizilirmak
    http://arxiv.org/abs/2007.14671v1

    • [cs.RO]SplitFlyer: a Modular Quadcoptor that Disassembles into Two Flying Robots
    Songnan Bai, Shixin Tan, Pakpong Chirarattananon
    http://arxiv.org/abs/2007.14862v1

    • [cs.RO]Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
    Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo
    http://arxiv.org/abs/2007.14759v1

    • [cs.RO]Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
    Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
    http://arxiv.org/abs/2007.14479v1

    • [cs.RO]Towards Collaborative Drilling with a Cobot Using Admittance Controller
    Yusuf Aydin, Doganay Sirintuna, Cagatay Basdogan
    http://arxiv.org/abs/2007.14503v1

    • [cs.RO]Towards Cooperative Transport of a Suspended Payload via Two Aerial Robots with Inertial Sensing
    Heng Xie, Xinyu Cai, Pakpong Chirarattananon
    http://arxiv.org/abs/2007.14880v1

    • [cs.RO]Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics
    Guido Schillaci, Alejandra Ciria, Bruno Lara
    http://arxiv.org/abs/2007.14632v1

    • [cs.SE]Advancing Visual Specification of Code Requirements for Graphs
    Dewi Yokelson
    http://arxiv.org/abs/2007.14958v1

    • [cs.SI]Calibration of Google Trends Time Series
    Robert West
    http://arxiv.org/abs/2007.13861v2

    • [cs.SI]CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
    Syed Afaq Ali Shah, Weifeng Deng, Jianxin Li, Muhammad Aamir Cheema, Abdul Bais
    http://arxiv.org/abs/2007.14741v1

    • [cs.SI]Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems
    Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Ikuhiro Ihara, Ferenc Huszar, Wenzhe Shi
    http://arxiv.org/abs/2007.14523v1

    • [cs.SI]Scalable Estimation of Epidemic Thresholds via Node Sampling
    Anirban Dasgupta, Srijan Sengupta
    http://arxiv.org/abs/2007.14820v1

    • [econ.GN]Are Less Developed Countries More Likely to Manipulate Data During Pandemics? Evidence from Newcomb-Benford Law
    Vadim S. Balashov, Yuxing Yan, Xiaodi Zhu
    http://arxiv.org/abs/2007.14841v1

    • [eess.AS]End-to-End Adversarial White Box Attacks on Music Instrument Classification
    Katharina Prinz, Arthur Flexer
    http://arxiv.org/abs/2007.14714v1

    • [eess.AS]Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics
    Donghuo Zeng, Yi Yu, Keizo Oyama
    http://arxiv.org/abs/2007.14856v1

    • [eess.IV]Accurate 2D soft segmentation of medical image via SoftGAN network
    Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Jun Xiao, Qimin Peng, Xiaopeng Zhang
    http://arxiv.org/abs/2007.14556v1

    • [eess.IV]COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
    Yifan Jiang, Han Chen, Murray Loew, Hanseok Ko
    http://arxiv.org/abs/2007.14638v1

    • [eess.IV]Decompose X-ray Images for Bone and Soft Tissue
    Yuanhao Gong
    http://arxiv.org/abs/2007.14510v1

    • [eess.IV]Enhancement of Retinal Fundus Images via Pixel Color Amplification
    Alex Gaudio, Asim Smailagic, Aurélio Campilho
    http://arxiv.org/abs/2007.14456v1

    • [eess.IV]Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
    Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
    http://arxiv.org/abs/2007.14450v1

    • [eess.IV]Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
    Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael Fulham, Jinman Kim
    http://arxiv.org/abs/2007.14728v1

    • [eess.IV]Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data
    Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
    http://arxiv.org/abs/2007.14979v1

    • [eess.IV]On the unreasonable effectiveness of CNNs
    Andreas Hauptmann, Jonas Adler
    http://arxiv.org/abs/2007.14745v1

    • [eess.IV]PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
    Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir
    http://arxiv.org/abs/2007.14777v1

    • [eess.IV]Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
    Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker R. Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad T. Islam, Zaid B. Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury
    http://arxiv.org/abs/2007.14895v1

    • [eess.IV]Solving Phase Retrieval with a Learned Reference
    Rakib Hyder, Zikui Cai, M. Salman Asif
    http://arxiv.org/abs/2007.14621v1

    • [eess.IV]TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
    Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng
    http://arxiv.org/abs/2007.14852v1

    • [eess.IV]Video compression with low complexity CNN-based spatial resolution adaptation
    Di Ma, Fan Zhang, David R. Bull
    http://arxiv.org/abs/2007.14726v1

    • [eess.SP]DeepMP for Non-Negative Sparse Decomposition
    Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
    http://arxiv.org/abs/2007.14281v1

    • [eess.SP]Energy Efficiency and Hover Time Optimization in UAV-based HetNets
    S. T. Muntaha, S. A. Hassan, H. Jung, M. S. Hossain
    http://arxiv.org/abs/2007.14098v2

    • [math.OC]An Index-based Deterministic Asymptotically Optimal Algorithm for Constrained Multi-armed Bandit Problems
    Hyeong Soo Chang
    http://arxiv.org/abs/2007.14550v1

    • [math.OC]Stable Community Structures and Social Exclusion
    Boxuan Li, Martin Carrington, Peter Marbach
    http://arxiv.org/abs/2007.14515v1

    • [math.PR]Ergodicity of the underdamped mean-field Langevin dynamics
    Anna Kazeykina, Zhenjie Ren, Xiaolu Tan, Junjian Yang
    http://arxiv.org/abs/2007.14660v1

    • [math.ST]Asymptotically Equivalent Prediction in Multivariate Geostatistics
    François Bachoc, Emilio Porcu, Moreno Bevilacqua, Reinhard Furrer, Tarik Faouzi
    http://arxiv.org/abs/2007.14684v1

    • [math.ST]Distribution sensitive estimators of the index of regular variation based on ratios of order statistics
    Pavlina K. Jordanova, Milan Stehlí k
    http://arxiv.org/abs/2007.14842v1

    • [math.ST]Equivalence theorems for compound design problems with application in mixed models
    Maryna Prus
    http://arxiv.org/abs/2007.14971v1

    • [math.ST]Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-$t$ distribution
    Christian E. Galarza, Larissa A. Matos, Victor H. Lachos
    http://arxiv.org/abs/2007.14980v1

    • [math.ST]On Accuracy and Coherence with Infinite Opinion Sets
    Mikayla Kelley
    http://arxiv.org/abs/2007.14490v1

    • [math.ST]Quickest Detection of Moving Anomalies in Sensor Networks
    Georgios Rovatsos, George V. Moustakides, Venugopal V. Veeravalli
    http://arxiv.org/abs/2007.14475v1

    • [math.ST]Stochastic approximation algorithms for superquantiles estimation
    Bernard Bercu, Manon Costa, Sébastien Gadat
    http://arxiv.org/abs/2007.14659v1

    • [physics.soc-ph]The Contact Network of Mexico City
    Guillermo de Anda-Jáuregui, Plinio Guzmán, Maribel Hernández-Rosales
    http://arxiv.org/abs/2007.14596v1

    • [q-bio.NC]A new GPU library for fast simulation of large-scale networks of spiking neurons
    Bruno Golosio, Gianmarco Tiddia, Chiara De Luca, Elena Pastorelli, Francesco Simula, Pier Stanislao Paolucci
    http://arxiv.org/abs/2007.14236v2

    • [q-bio.PE]Learning enables adaptation in cooperation for multi-player stochastic games
    Feng Huang, Ming Cao, Long Wang
    http://arxiv.org/abs/2007.14957v1

    • [q-bio.QM]A calibration-free method for biosensing in cell manufacturing
    Jialei Chen, Zhaonan Liu, Kan Wang, Chen Jiang, Chuck Zhang, Ben Wang
    http://arxiv.org/abs/2007.14391v1

    • [q-bio.QM]Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial Ontologies
    Katy Börner, Ellen M. Quardokus, Bruce W. Herr II, Leonard E. Cross, Elizabeth G. Record, Yingnan Ju, Andreas D. Bueckle, James P. Sluka, Jonathan C. Silverstein, Kristen M. Browne, Sanjay Jain, Clive H. Wasserfall, Marda L. Jorgensen, Jeffrey M. Spraggins, Nathan H. Patterson, Mark A. Musen, Griffin M. Weber
    http://arxiv.org/abs/2007.14474v1

    • [q-bio.QM]Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability
    Jirong Yi, Myung Cho, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai
    http://arxiv.org/abs/2007.14919v1

    • [q-bio.QM]Network resilience
    Xueming Liu, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H Eugene Stanley, Jianxi Gao
    http://arxiv.org/abs/2007.14464v1

    • [quant-ph]On the Quantum versus Classical Learnability of Discrete Distributions
    Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
    http://arxiv.org/abs/2007.14451v1

    • [quant-ph]Ultimate limits for multiple quantum channel discrimination
    Quntao Zhuang, Stefano Pirandola
    http://arxiv.org/abs/2007.14566v1

    • [stat.AP]Are NBA players getting paid according to their performance on court?
    Ioanna Papadaki, Michail Tsagris
    http://arxiv.org/abs/2007.14694v1

    • [stat.AP]Objective frequentist uncertainty quantification for atmospheric CO$_2$ retrievals
    Pratik Patil, Mikael Kuusela, Jonathan Hobbs
    http://arxiv.org/abs/2007.14975v1

    • [stat.AP]Robust variable selection for model-based learning in presence of adulteration
    Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
    http://arxiv.org/abs/2007.14810v1

    • [stat.ME]Bayesian Context Trees: Modelling and exact inference for discrete time series
    Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou
    http://arxiv.org/abs/2007.14900v1

    • [stat.ME]Clustering Brain Signals: A Robust Approach Using Functional Data Ranking
    Tianbo Chen, Ying Sun, Carolina Euan, Hernando Ombao
    http://arxiv.org/abs/2007.14078v1

    • [stat.ME]Detecting bearish and bullish markets in financial time series using hierarchical hidden Markov models
    Lennart Oelschläger, Timo Adam
    http://arxiv.org/abs/2007.14874v1

    • [stat.ME]Estimation of local treatment under the binary instrumental variable model
    Linbo Wang, Yuexia Zhang, Thomas S. Richardson, James M. Robins
    http://arxiv.org/abs/2007.14458v1

    • [stat.ME]Robust and Reproducible Model Selection Using Bagged Posteriors
    Jonathan H. Huggins, Jeffrey W. Miller
    http://arxiv.org/abs/2007.14845v1

    • [stat.ME]Spatially dependent mixture models via the Logistic Multivariate CAR prior
    Mario Beraha, Matteo Pegoraro, Riccardo Peli, Alessandra Guglielmi
    http://arxiv.org/abs/2007.14961v1

    • [stat.ML]Generalization Properties of Optimal Transport GANs with Latent Distribution Learning
    Giulia Luise, Massimiliano Pontil, Carlo Ciliberto
    http://arxiv.org/abs/2007.14641v1

    • [stat.ML]Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures
    Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Yoshinobu Kawahara
    http://arxiv.org/abs/2007.14698v1

    • [stat.ML]Learning Output Embeddings in Structured Prediction
    Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d’Alché-Buc
    http://arxiv.org/abs/2007.14703v1

    • [stat.ML]SAFER: Sparse secure Aggregation for FEderated leaRning
    Constance Beguier, Eric W. Tramel
    http://arxiv.org/abs/2007.14861v1

    • [stat.ML]Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms
    Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
    http://arxiv.org/abs/2007.14528v1

    • [stat.ML]Visualizing classification results
    Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert
    http://arxiv.org/abs/2007.14495v1