cond-mat.stat-mech - 统计数学
    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.DB - 数据库
    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.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.MA - 多代理系统
    cs.MM - 多媒体
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.PL - 编程语言
    cs.RO - 机器人学
    cs.SE - 软件工程
    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.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    nucl-th - 核理论
    physics.flu-dyn - 流体动力学
    physics.soc-ph - 物理学与社会
    q-fin.TR - 贸易与市场微观结构
    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.stat-mech]Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
    • [cs.AI]Artificial Intelligence in Healthcare: Lost In Translation?
    • [cs.AI]Conflict Detection in IoT-based Smart Homes
    • [cs.AI]Exceeding the Limits of Visual-Linguistic Multi-Task Learning
    • [cs.AI]Exploring and mining attributed sequences of interactions
    • [cs.AI]MWP-BERT: A Strong Baseline for Math Word Problems
    • [cs.AI]On Improving the Backjump Level in PB Solvers
    • [cs.AI]Packet Routing with Graph Attention Multi-agent Reinforcement Learning
    • [cs.AI]Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
    • [cs.AI]The social dilemma in AI development and why we have to solve it
    • [cs.AI]Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
    • [cs.CL]Arabic aspect based sentiment analysis using BERT
    • [cs.CL]Emotion Stimulus Detection in German News Headlines
    • [cs.CL]Goal-Oriented Script Construction
    • [cs.CL]Growing knowledge culturally across generations to solve novel, complex tasks
    • [cs.CL]Multi-Scale Feature and Metric Learning for Relation Extraction
    • [cs.CL]Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
    • [cs.CL]Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
    • [cs.CL]Towards Robustness Against Natural Language Word Substitutions
    • [cs.CL]gaBERT — an Irish Language Model
    • [cs.CR]XFL: eXtreme Function Labeling
    • [cs.CV]A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
    • [cs.CV]A New Split for Evaluating True Zero-Shot Action Recognition
    • [cs.CV]A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery
    • [cs.CV]A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
    • [cs.CV]A Tale Of Two Long Tails
    • [cs.CV]A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
    • [cs.CV]Accurate Grid Keypoint Learning for Efficient Video Prediction
    • [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
    • [cs.CV]Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
    • [cs.CV]Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
    • [cs.CV]Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
    • [cs.CV]Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
    • [cs.CV]CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
    • [cs.CV]C^3Net: End-to-End deep learning for efficient real-time visual active camera control
    • [cs.CV]CarveNet: Carving Point-Block for Complex 3D Shape Completion
    • [cs.CV]Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
    • [cs.CV]DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
    • [cs.CV]DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
    • [cs.CV]Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
    • [cs.CV]Evaluating the Use of Reconstruction Error for Novelty Localization
    • [cs.CV]Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
    • [cs.CV]Global Aggregation then Local Distribution for Scene Parsing
    • [cs.CV]Graph Constrained Data Representation Learning for Human Motion Segmentation
    • [cs.CV]Image color correction, enhancement, and editing
    • [cs.CV]Improving Multi-View Stereo via Super-Resolution
    • [cs.CV]Improving Video Instance Segmentation via Temporal Pyramid Routing
    • [cs.CV]Inferring bias and uncertainty in camera calibration
    • [cs.CV]Is Object Detection Necessary for Human-Object Interaction Recognition?
    • [cs.CV]Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
    • [cs.CV]Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
    • [cs.CV]MixFaceNets: Extremely Efficient Face Recognition Networks
    • [cs.CV]Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
    • [cs.CV]Neural Rays for Occlusion-aware Image-based Rendering
    • [cs.CV]Normalization Matters in Weakly Supervised Object Localization
    • [cs.CV]PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
    • [cs.CV]Predicting the Future from First Person (Egocentric) Vision: A Survey
    • [cs.CV]Pseudo-LiDAR Based Road Detection
    • [cs.CV]Rank-based verification for long-term face tracking in crowded scenes
    • [cs.CV]Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
    • [cs.CV]Shape Controllable Virtual Try-on for Underwear Models
    • [cs.CV]SimROD: A Simple Adaptation Method for Robust Object Detection
    • [cs.CV]Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
    • [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
    • [cs.CV]Subjective evaluation of traditional and learning-based image coding methods
    • [cs.CV]Surrogate Model-Based Explainability Methods for Point Cloud NNs
    • [cs.CV]Task-Specific Normalization for Continual Learning of Blind Image Quality Models
    • [cs.CV]TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
    • [cs.CV]Unsupervised Monocular Depth Estimation in Highly Complex Environments
    • [cs.CV]Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)
    • [cs.CV]WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
    • [cs.CY]Evaluating the weight sensitivity in AHP-based flood risk estimation models
    • [cs.DB]Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
    • [cs.DB]RingBFT: Resilient Consensus over Sharded Ring Topology
    • [cs.DC]A Case Study on the Stability of Performance Tests for Serverless Applications
    • [cs.DC]A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre
    • [cs.DC]Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
    • [cs.DC]C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
    • [cs.DC]The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform
    • [cs.DL]Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns
    • [cs.DS]今日学术视野(2021.7.30) - 图1#card=math&code=%281%2B%CE%B5%29&id=MTJ4n)-Approximate Shortest Paths in Dynamic Streams
    • [cs.HC]An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
    • [cs.HC]The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
    • [cs.HC]Towards Emotion-Aware Agents For Negotiation Dialogues
    • [cs.IR]A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
    • [cs.IR]Ranker-agnostic Contextual Position Bias Estimation
    • [cs.IR]Reenvisioning Collaborative Filtering vs Matrix Factorization
    • [cs.IR]Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
    • [cs.IT]A family of codes with variable locality and availability
    • [cs.IT]Finding Better Precoding in Massive MIMO using Optimization Approach
    • [cs.IT]On Optimal Quantization in Sequential Detection
    • [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
    • [cs.IT]Optimal Capacity-Driven Design of Aperiodic Clustered Phased Arrays for Multi-User MIMO Communication Systems
    • [cs.IT]Performance Analysis of Dual-Hop THz Transmission Systems over 今日学术视野(2021.7.30) - 图2-今日学术视野(2021.7.30) - 图3 Fading Channels with Pointing Errors
    • [cs.IT]Structural Complexity of One-Dimensional Random Geometric Graphs
    • [cs.LG]A Payload Optimization Method for Federated Recommender Systems
    • [cs.LG]A Reflection on Learning from Data: Epistemology Issues and Limitations
    • [cs.LG]AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
    • [cs.LG]Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
    • [cs.LG]Bayesian Autoencoders for Drift Detection in Industrial Environments
    • [cs.LG]Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
    • [cs.LG]Chance constrained conic-segmentation support vector machine with uncertain data
    • [cs.LG]Dataset Distillation with Infinitely Wide Convolutional Networks
    • [cs.LG]Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
    • [cs.LG]Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
    • [cs.LG]Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
    • [cs.LG]End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
    • [cs.LG]Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
    • [cs.LG]Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
    • [cs.LG]Homogeneous Architecture Augmentation for Neural Predictor
    • [cs.LG]Learned Optimizers for Analytic Continuation
    • [cs.LG]Learning with Multiclass AUC: Theory and Algorithms
    • [cs.LG]MARViN — Multiple Arithmetic Resolutions Vacillating in Neural Networks
    • [cs.LG]Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
    • [cs.LG]Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
    • [cs.LG]Neural Network Approximation of Refinable Functions
    • [cs.LG]New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
    • [cs.LG]Pixyz: a library for developing deep generative models
    • [cs.LG]ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors
    • [cs.LG]Robust and Active Learning for Deep Neural Network Regression
    • [cs.LG]SONG: Self-Organizing Neural Graphs
    • [cs.LG]Self-Supervised Hybrid Inference in State-Space Models
    • [cs.LG]Snippet Policy Network for Multi-class Varied-length ECG Early Classification
    • [cs.LG]Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
    • [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
    • [cs.LG]The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
    • [cs.LG]Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
    • [cs.LG]Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
    • [cs.LG]Unsupervised Learning of Neurosymbolic Encoders
    • [cs.LO]Satisfiability and Synthesis Modulo Oracles
    • [cs.MA]Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
    • [cs.MM]Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
    • [cs.NE]Automated Design of Heuristics for the Container Relocation Problem
    • [cs.NE]HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
    • [cs.NE]Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
    • [cs.NE]Neuromorphic scaling advantages for energy-efficient random walk computation
    • [cs.NI]Q-Learning for Conflict Resolution in B5G Network Automation
    • [cs.PL]Functorial String Diagrams for Reverse-Mode Automatic Differentiation
    • [cs.RO]A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation
    • [cs.RO]A-star path planning simulation for UAS Traffic Management (UTM) application
    • [cs.RO]Marine Vehicles Localization Using Grid Cells for Path Integration
    • [cs.RO]Thrust Direction Control of an Underactuated Oscillating Swimming Robot
    • [cs.RO]Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
    • [cs.RO]Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices
    • [cs.SE]Checking Patch Behaviour against Test Specification
    • [cs.SI]Co-evolution of Rumor Diffusion and Structural Stability in Signed Social Networks
    • [cs.SI]Social media emotion macroscopes reflect emotional experiences in society at large
    • [eess.AS]A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
    • [eess.AS]Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition
    • [eess.IV]AI assisted method for efficiently generating breast ultrasound screening reports
    • [eess.IV]An explainable two-dimensional single model deep learning approach for Alzheimer’s disease diagnosis and brain atrophy localization
    • [eess.IV]High-speed object detection with a single-photon time-of-flight image sensor
    • [eess.IV]Insights from Generative Modeling for Neural Video Compression
    • [eess.IV]Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
    • [eess.IV]TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
    • [eess.IV]Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
    • [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
    • [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
    • [math.OC]Dynamic Programming and Linear Programming for Odds Problem
    • [math.OC]Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
    • [math.PR]Recursive Estimation of a Failure Probability for a Lipschitz Function
    • [math.PR]Refined Cramér Type Moderate Deviation Theorems for General Self-normalized Sums with Applications to Dependent Random Variables and Winsorized Mean
    • [math.ST]Global minimizers, strict and non-strict saddle points, and implicit regularization for deep linear neural networks
    • [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
    • [math.ST]One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
    • [math.ST]Sparse approximation of triangular transports. Part II: the infinite dimensional case
    • [nucl-th]Self-learning Emulators and Eigenvector Continuation
    • [physics.flu-dyn]A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC)
    • [physics.soc-ph]Hiding in Temporal Networks
    • [q-fin.TR]Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
    • [quant-ph]Queue-Channel Capacities with Generalized Amplitude Damping
    • [stat.AP]MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
    • [stat.AP]Non-stationarity in correlation matrices for wind turbine SCADA-data and implications for failure detection
    • [stat.ME]An Aggregation Scheme for Increased Power in Primary Outcome Analysis
    • [stat.ME]Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics
    • [stat.ME]Modeling the systematic behavior at the micro and nano length scale
    • [stat.ME]Survival stacking: casting survival analysis as a classification problem
    • [stat.ML]Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary

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

    • [cond-mat.stat-mech]Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
    Muhammad R. Hasyim, Clay H. Batton, Kranthi K. Mandadapu
    http://arxiv.org/abs/2107.13522v1

    • [cs.AI]Artificial Intelligence in Healthcare: Lost In Translation?
    Vince I. Madai, David C. Higgins
    http://arxiv.org/abs/2107.13454v1

    • [cs.AI]Conflict Detection in IoT-based Smart Homes
    Bing Huang, Hai Dong, Athman Bouguettaya
    http://arxiv.org/abs/2107.13179v1

    • [cs.AI]Exceeding the Limits of Visual-Linguistic Multi-Task Learning
    Cameron R. Wolfe, Keld T. Lundgaard
    http://arxiv.org/abs/2107.13054v1

    • [cs.AI]Exploring and mining attributed sequences of interactions
    Tiphaine Viard, Henry Soldano, Guillaume Santini
    http://arxiv.org/abs/2107.13329v1

    • [cs.AI]MWP-BERT: A Strong Baseline for Math Word Problems
    Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang
    http://arxiv.org/abs/2107.13435v1

    • [cs.AI]On Improving the Backjump Level in PB Solvers
    Romain Wallon
    http://arxiv.org/abs/2107.13085v1

    • [cs.AI]Packet Routing with Graph Attention Multi-agent Reinforcement Learning
    Xuan Mai, Quanzhi Fu, Yi Chen
    http://arxiv.org/abs/2107.13181v1

    • [cs.AI]Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
    Benno Kruit, Hongyu He, Jacopo Urbani
    http://arxiv.org/abs/2107.13306v1

    • [cs.AI]The social dilemma in AI development and why we have to solve it
    Inga Strümke, Marija Slavkovik, Vince I. Madai
    http://arxiv.org/abs/2107.12977v2

    • [cs.AI]Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
    Cheng Zhang, Jinwoo Kim, JungHo Jeon, Jinding Xing, Changbum Ahn, Pingbo Tang, Hubo Cai
    http://arxiv.org/abs/2107.13498v1

    • [cs.CL]Arabic aspect based sentiment analysis using BERT
    Mohammed M. Abdelgwad
    http://arxiv.org/abs/2107.13290v1

    • [cs.CL]Emotion Stimulus Detection in German News Headlines
    Bao Minh Doan Dang, Laura Oberländer, Roman Klinger
    http://arxiv.org/abs/2107.12920v2

    • [cs.CL]Goal-Oriented Script Construction
    Qing Lyu, Li Zhang, Chris Callison-Burch
    http://arxiv.org/abs/2107.13189v1

    • [cs.CL]Growing knowledge culturally across generations to solve novel, complex tasks
    Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum
    http://arxiv.org/abs/2107.13377v1

    • [cs.CL]Multi-Scale Feature and Metric Learning for Relation Extraction
    Mi Zhang, Tieyun Qian
    http://arxiv.org/abs/2107.13425v1

    • [cs.CL]Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
    Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang
    http://arxiv.org/abs/2107.13077v1

    • [cs.CL]Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
    Vivek Kalyan, Sam Witteveen, Martin Andrews
    http://arxiv.org/abs/2107.13031v1

    • [cs.CL]Towards Robustness Against Natural Language Word Substitutions
    Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
    http://arxiv.org/abs/2107.13541v1

    • [cs.CL]gaBERT — an Irish Language Model
    James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster
    http://arxiv.org/abs/2107.12930v2

    • [cs.CR]XFL: eXtreme Function Labeling
    James Patrick-Evans, Moritz Dannehl, Johannes Kinder
    http://arxiv.org/abs/2107.13404v1

    • [cs.CV]A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
    Ashlesha Kumar, Kuldip Singh Sangwan, Dhiraj
    http://arxiv.org/abs/2107.13355v1

    • [cs.CV]A New Split for Evaluating True Zero-Shot Action Recognition
    Shreyank N Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
    http://arxiv.org/abs/2107.13029v1

    • [cs.CV]A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery
    Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu
    http://arxiv.org/abs/2107.13277v1

    • [cs.CV]A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
    Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve Jiang
    http://arxiv.org/abs/2107.13465v1

    • [cs.CV]A Tale Of Two Long Tails
    Daniel D’souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker
    http://arxiv.org/abs/2107.13098v1

    • [cs.CV]A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
    Ahmed Elhagry, Karima Kadaoui
    http://arxiv.org/abs/2107.13114v1

    • [cs.CV]Accurate Grid Keypoint Learning for Efficient Video Prediction
    Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng
    http://arxiv.org/abs/2107.13170v1

    • [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
    Shi-Xue Zhang, Xiaobin Zhu, Chun Yang, Hongfa Wang, Xu-Cheng Yin
    http://arxiv.org/abs/2107.12664v2

    • [cs.CV]Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
    Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo
    http://arxiv.org/abs/2107.13469v1

    • [cs.CV]Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
    Ze Yang, Haofei Wang, Feng Lu
    http://arxiv.org/abs/2107.13193v1

    • [cs.CV]Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
    Chenhang He, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
    http://arxiv.org/abs/2107.13269v1

    • [cs.CV]Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
    Reece Walsh, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
    http://arxiv.org/abs/2107.13093v1

    • [cs.CV]CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
    Tao Hu, Chengjiang Long, Chunxia Xiao
    http://arxiv.org/abs/2107.13516v1

    • [cs.CV]C^3Net: End-to-End deep learning for efficient real-time visual active camera control
    Christos Kyrkou
    http://arxiv.org/abs/2107.13233v1

    • [cs.CV]CarveNet: Carving Point-Block for Complex 3D Shape Completion
    Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
    http://arxiv.org/abs/2107.13452v1

    • [cs.CV]Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
    Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko
    http://arxiv.org/abs/2107.13144v1

    • [cs.CV]DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
    Yanchao Yang, Yuefan Shen, Youyi Zheng, C. Karen Liu, Leonidas Guibas
    http://arxiv.org/abs/2107.13087v1

    • [cs.CV]DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
    Geetika Arora, Rohit K Bharadwaj, Kamlesh Tiwari
    http://arxiv.org/abs/2107.13217v1

    • [cs.CV]Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
    Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou
    http://arxiv.org/abs/2107.13118v1

    • [cs.CV]Evaluating the Use of Reconstruction Error for Novelty Localization
    Patrick Feeney, Michael C. Hughes
    http://arxiv.org/abs/2107.13379v1

    • [cs.CV]Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
    Ahmed Elhagry, Karima Kadaoui
    http://arxiv.org/abs/2107.13111v1

    • [cs.CV]Global Aggregation then Local Distribution for Scene Parsing
    Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang
    http://arxiv.org/abs/2107.13154v1

    • [cs.CV]Graph Constrained Data Representation Learning for Human Motion Segmentation
    Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas, Herwig Wendt
    http://arxiv.org/abs/2107.13362v1

    • [cs.CV]Image color correction, enhancement, and editing
    Mahmoud Afifi
    http://arxiv.org/abs/2107.13117v1

    • [cs.CV]Improving Multi-View Stereo via Super-Resolution
    Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci
    http://arxiv.org/abs/2107.13261v1

    • [cs.CV]Improving Video Instance Segmentation via Temporal Pyramid Routing
    Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong
    http://arxiv.org/abs/2107.13155v1

    • [cs.CV]Inferring bias and uncertainty in camera calibration
    Annika Hagemann, Moritz Knorr, Holger Janssen, Christoph Stiller
    http://arxiv.org/abs/2107.13484v1

    • [cs.CV]Is Object Detection Necessary for Human-Object Interaction Recognition?
    Ying Jin, Yinpeng Chen, Lijuan Wang, Jianfeng Wang, Pei Yu, Zicheng Liu, Jenq-Neng Hwang
    http://arxiv.org/abs/2107.13083v1

    • [cs.CV]Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
    Maximilian Weiherer, Andreas Eigenberger, Vanessa Brébant, Lukas Prantl, Christoph Palm
    http://arxiv.org/abs/2107.13463v1

    • [cs.CV]Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
    Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki
    http://arxiv.org/abs/2107.13263v1

    • [cs.CV]MixFaceNets: Extremely Efficient Face Recognition Networks
    Fadi Boutros, Naser Damer, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper
    http://arxiv.org/abs/2107.13046v1

    • [cs.CV]Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
    Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
    http://arxiv.org/abs/2107.13152v1

    • [cs.CV]Neural Rays for Occlusion-aware Image-based Rendering
    Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang
    http://arxiv.org/abs/2107.13421v1

    • [cs.CV]Normalization Matters in Weakly Supervised Object Localization
    Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
    http://arxiv.org/abs/2107.13221v1

    • [cs.CV]PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
    Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
    http://arxiv.org/abs/2107.13108v1

    • [cs.CV]Predicting the Future from First Person (Egocentric) Vision: A Survey
    Ivan Rodin, Antonino Furnari, Dimitrios Mavroedis, Giovanni Maria Farinella
    http://arxiv.org/abs/2107.13411v1

    • [cs.CV]Pseudo-LiDAR Based Road Detection
    Libo Sun, Haokui Zhang, Wei Yin
    http://arxiv.org/abs/2107.13279v1

    • [cs.CV]Rank-based verification for long-term face tracking in crowded scenes
    Germán Barquero, Isabelle Hupont, Carles Fernández
    http://arxiv.org/abs/2107.13273v1

    • [cs.CV]Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
    Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu
    http://arxiv.org/abs/2107.13467v1

    • [cs.CV]Shape Controllable Virtual Try-on for Underwear Models
    Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song
    http://arxiv.org/abs/2107.13156v1

    • [cs.CV]SimROD: A Simple Adaptation Method for Robust Object Detection
    Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
    http://arxiv.org/abs/2107.13389v1

    • [cs.CV]Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
    Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng
    http://arxiv.org/abs/2107.13271v1

    • [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
    Yuda Song, Hui Qian, Xin Du
    http://arxiv.org/abs/2107.12898v2

    • [cs.CV]Subjective evaluation of traditional and learning-based image coding methods
    Zhigao Fang, Jiaqi Zhang, Lu Yu, Yin Zhao
    http://arxiv.org/abs/2107.13122v1

    • [cs.CV]Surrogate Model-Based Explainability Methods for Point Cloud NNs
    Hanxiao Tan, Helena Kotthaus
    http://arxiv.org/abs/2107.13459v1

    • [cs.CV]Task-Specific Normalization for Continual Learning of Blind Image Quality Models
    Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang
    http://arxiv.org/abs/2107.13429v1

    • [cs.CV]TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
    Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang
    http://arxiv.org/abs/2107.13259v1

    • [cs.CV]Unsupervised Monocular Depth Estimation in Highly Complex Environments
    Chaoqiang Zhao, Yang Tang, Qiyu Sun
    http://arxiv.org/abs/2107.13137v1

    • [cs.CV]Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)
    Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao
    http://arxiv.org/abs/2107.13167v1

    • [cs.CV]WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
    Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
    http://arxiv.org/abs/2107.13335v1

    • [cs.CY]Evaluating the weight sensitivity in AHP-based flood risk estimation models
    Hongping Zhang, Zhenfeng Shao, Bin Hua, Xiao Huang, Jinqi Zhao, Wenfu Wu, Yewen Fan
    http://arxiv.org/abs/2107.13368v1

    • [cs.DB]Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
    Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan van Zelst
    http://arxiv.org/abs/2107.13066v1

    • [cs.DB]RingBFT: Resilient Consensus over Sharded Ring Topology
    Sajjad Rahnama, Suyash Gupta, Rohan Sogani, Dhruv Krishnan, Mohammad Sadoghi
    http://arxiv.org/abs/2107.13047v1

    • [cs.DC]A Case Study on the Stability of Performance Tests for Serverless Applications
    Simon Eismann, Diego Elias Costa, Lizhi Liao, Cor-Paul Bezemer, Weiyi Shang, André van Hoorn, Samuel Kounev
    http://arxiv.org/abs/2107.13320v1

    • [cs.DC]A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre
    Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen
    http://arxiv.org/abs/2107.13502v1

    • [cs.DC]Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
    Nick Brown
    http://arxiv.org/abs/2107.13500v1

    • [cs.DC]C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
    Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
    http://arxiv.org/abs/2107.13317v1

    • [cs.DC]The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform
    Michal Zasadzinski, Michael Theodoulou, Markus Thurner, Kshitij Ranganath
    http://arxiv.org/abs/2107.13212v1

    • [cs.DL]Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns
    Swapan Kumar Patra
    http://arxiv.org/abs/2107.13238v1

    • [cs.DS]今日学术视野(2021.7.30) - 图4#card=math&code=%281%2B%CE%B5%29&id=CahOU)-Approximate Shortest Paths in Dynamic Streams
    Michael Elkin, Chhaya Trehan
    http://arxiv.org/abs/2107.13309v1

    • [cs.HC]An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
    Lu Wang, Munif Ishad Mujib, Jake Williams, George Demiris, Jina Huh-Yoo
    http://arxiv.org/abs/2107.13115v1

    • [cs.HC]The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
    Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, Mark O. Riedl
    http://arxiv.org/abs/2107.13509v1

    • [cs.HC]Towards Emotion-Aware Agents For Negotiation Dialogues
    Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale Lucas, Jonathan Gratch
    http://arxiv.org/abs/2107.13165v1

    • [cs.IR]A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
    Alexander Dallmann, Daniel Zoller, Andreas Hotho
    http://arxiv.org/abs/2107.13045v1

    • [cs.IR]Ranker-agnostic Contextual Position Bias Estimation
    Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein
    http://arxiv.org/abs/2107.13327v1

    • [cs.IR]Reenvisioning Collaborative Filtering vs Matrix Factorization
    Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo
    http://arxiv.org/abs/2107.13472v1

    • [cs.IR]Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
    Dantong Zhu, Minjia Zhang
    http://arxiv.org/abs/2107.13052v1

    • [cs.IT]A family of codes with variable locality and availability
    Cícero Carvalho, Victor G. L. Neumann
    http://arxiv.org/abs/2107.13487v1

    • [cs.IT]Finding Better Precoding in Massive MIMO using Optimization Approach
    Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
    http://arxiv.org/abs/2107.13440v1

    • [cs.IT]On Optimal Quantization in Sequential Detection
    Michael Fauß, Manuel S. Stein, H. Vincent Poor
    http://arxiv.org/abs/2107.13412v1

    • [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
    Jaewha Kim, Jae-Won Kim, Jong-Seon No
    http://arxiv.org/abs/2107.12534v2

    • [cs.IT]Optimal Capacity-Driven Design of Aperiodic Clustered Phased Arrays for Multi-User MIMO Communication Systems
    N. Anselmi, P. Rocca, S. Feuchtinger, B. Biscontini, A. M. Barrera, A. Massa
    http://arxiv.org/abs/2107.13544v1

    • [cs.IT]Performance Analysis of Dual-Hop THz Transmission Systems over 今日学术视野(2021.7.30) - 图5-今日学术视野(2021.7.30) - 图6 Fading Channels with Pointing Errors
    Sai Li, Liang Yang
    http://arxiv.org/abs/2107.13166v1

    • [cs.IT]Structural Complexity of One-Dimensional Random Geometric Graphs
    Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/2107.13495v1

    • [cs.LG]A Payload Optimization Method for Federated Recommender Systems
    Farwa K. Khan, Adrian Flanagan, Kuan E. Tan, Zareen Alamgir, Muhammad Ammad-Ud-Din
    http://arxiv.org/abs/2107.13078v1

    • [cs.LG]A Reflection on Learning from Data: Epistemology Issues and Limitations
    Ahmad Hammoudeh, Sara Tedmori, Nadim Obeid
    http://arxiv.org/abs/2107.13270v1

    • [cs.LG]AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
    Zhen Xu, Wei-Wei Tu, Isabelle Guyon
    http://arxiv.org/abs/2107.13186v1

    • [cs.LG]Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
    Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi
    http://arxiv.org/abs/2107.13405v1

    • [cs.LG]Bayesian Autoencoders for Drift Detection in Industrial Environments
    Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup
    http://arxiv.org/abs/2107.13249v1

    • [cs.LG]Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
    Bang Xiang Yong, Tim Pearce, Alexandra Brintrup
    http://arxiv.org/abs/2107.13304v1

    • [cs.LG]Chance constrained conic-segmentation support vector machine with uncertain data
    Shen Peng, Gianpiero Canessa
    http://arxiv.org/abs/2107.13319v1

    • [cs.LG]Dataset Distillation with Infinitely Wide Convolutional Networks
    Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee
    http://arxiv.org/abs/2107.13034v1

    • [cs.LG]Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
    Guangyi Zhang, Ali Etemad
    http://arxiv.org/abs/2107.13505v1

    • [cs.LG]Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
    Alicia Curth, Mihaela van der Schaar
    http://arxiv.org/abs/2107.13346v1

    • [cs.LG]Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
    Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
    http://arxiv.org/abs/2107.13312v1

    • [cs.LG]End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
    Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman
    http://arxiv.org/abs/2107.13068v1

    • [cs.LG]Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
    Yu Wang, Yuesong Shen, Daniel Cremers
    http://arxiv.org/abs/2107.13059v1

    • [cs.LG]Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
    Yihong Yang, Sheng Ding, Yuwen Liu, Shunmei Meng, Xiaoxiao Chi, Rui Ma, Chao Yan
    http://arxiv.org/abs/2107.13353v1

    • [cs.LG]Homogeneous Architecture Augmentation for Neural Predictor
    Yuqiao Liu, Yehui Tang, Yanan Sun
    http://arxiv.org/abs/2107.13153v1

    • [cs.LG]Learned Optimizers for Analytic Continuation
    Dongchen Huang, Yi-feng Yang
    http://arxiv.org/abs/2107.13265v1

    • [cs.LG]Learning with Multiclass AUC: Theory and Algorithms
    Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
    http://arxiv.org/abs/2107.13171v1

    • [cs.LG]MARViN — Multiple Arithmetic Resolutions Vacillating in Neural Networks
    Lorenz Kummer, Kevin Sidak, Tabea Reichmann, Wilfried Gansterer
    http://arxiv.org/abs/2107.13490v1

    • [cs.LG]Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
    Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol
    http://arxiv.org/abs/2107.13491v1

    • [cs.LG]Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
    Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui
    http://arxiv.org/abs/2107.13226v1

    • [cs.LG]Neural Network Approximation of Refinable Functions
    Ingrid Daubechies, Ronald DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
    http://arxiv.org/abs/2107.13191v1

    • [cs.LG]New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
    Siddharth Divi, Yi-Shan Lin, Habiba Farrukh, Z. Berkay Celik
    http://arxiv.org/abs/2107.13173v1

    • [cs.LG]Pixyz: a library for developing deep generative models
    Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo
    http://arxiv.org/abs/2107.13109v1

    • [cs.LG]ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors
    Charles Sun, Jędrzej Orbik, Coline Devin, Brian Yang, Abhishek Gupta, Glen Berseth, Sergey Levine
    http://arxiv.org/abs/2107.13545v1

    • [cs.LG]Robust and Active Learning for Deep Neural Network Regression
    Xi Li, George Kesidis, David J. Miller, Maxime Bergeron, Ryan Ferguson, Vladimir Lucic
    http://arxiv.org/abs/2107.13124v1

    • [cs.LG]SONG: Self-Organizing Neural Graphs
    Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
    http://arxiv.org/abs/2107.13214v1

    • [cs.LG]Self-Supervised Hybrid Inference in State-Space Models
    David Ruhe, Patrick Forré
    http://arxiv.org/abs/2107.13349v1

    • [cs.LG]Snippet Policy Network for Multi-class Varied-length ECG Early Classification
    Yu Huang, Gary G. Yen, Vincent S. Tseng
    http://arxiv.org/abs/2107.13361v1

    • [cs.LG]Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
    Colin Wei, Yining Chen, Tengyu Ma
    http://arxiv.org/abs/2107.13163v1

    • [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
    Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern
    http://arxiv.org/abs/2107.11327v2

    • [cs.LG]The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
    Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud Duintjer Tebbens, Oscar Beijbom
    http://arxiv.org/abs/2107.13507v1

    • [cs.LG]Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
    Alishiba Dsouza, Nicolas Tempelmeier, Elena Demidova
    http://arxiv.org/abs/2107.13257v1

    • [cs.LG]Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
    Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, Joao P. S. Catalao
    http://arxiv.org/abs/2107.13508v1

    • [cs.LG]Unsupervised Learning of Neurosymbolic Encoders
    Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
    http://arxiv.org/abs/2107.13132v1

    • [cs.LO]Satisfiability and Synthesis Modulo Oracles
    Elizabeth Polgreen, Andrew Reynolds, Sanjit A. Seshia
    http://arxiv.org/abs/2107.13477v1

    • [cs.MA]Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
    Bang Xiang Yong, Alexandra Brintrup
    http://arxiv.org/abs/2107.13252v1

    • [cs.MM]Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
    Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aaron Lopez-Garcia, Pedro Zuccarello, Maximo Cobos, Francesc J. Ferri
    http://arxiv.org/abs/2107.13180v1

    • [cs.NE]Automated Design of Heuristics for the Container Relocation Problem
    Mrko Đurasević, Mateja Đumić
    http://arxiv.org/abs/2107.13313v1

    • [cs.NE]HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
    Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel
    http://arxiv.org/abs/2107.11979v2

    • [cs.NE]Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
    Marko Đurasević, Domagoj Jakobović
    http://arxiv.org/abs/2107.13106v1

    • [cs.NE]Neuromorphic scaling advantages for energy-efficient random walk computation
    J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone
    http://arxiv.org/abs/2107.13057v1

    • [cs.NI]Q-Learning for Conflict Resolution in B5G Network Automation
    Sayantini Majumdar, Riccardo Trivisonno, Georg Carle
    http://arxiv.org/abs/2107.13268v1

    • [cs.PL]Functorial String Diagrams for Reverse-Mode Automatic Differentiation
    Mario Alvarez-Picallo, Dan R. Ghica, David Sprunger, Fabio Zanasi
    http://arxiv.org/abs/2107.13433v1

    • [cs.RO]A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation
    Chen Peng, Stavros Vougioukas, David Slaughter, Zhenghao Fei, Rajkishan Arikapudi
    http://arxiv.org/abs/2107.13063v1

    • [cs.RO]A-star path planning simulation for UAS Traffic Management (UTM) application
    Carlos Augusto Pötter Neto, Gustavo de Carvalho Bertoli, Osamu Saotome
    http://arxiv.org/abs/2107.13103v1

    • [cs.RO]Marine Vehicles Localization Using Grid Cells for Path Integration
    Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata
    http://arxiv.org/abs/2107.13461v1

    • [cs.RO]Thrust Direction Control of an Underactuated Oscillating Swimming Robot
    Gedaliah Knizhnik, Mark Yim
    http://arxiv.org/abs/2107.13055v1

    • [cs.RO]Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
    Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris
    http://arxiv.org/abs/2107.13356v1

    • [cs.RO]Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices
    Yang Chen, Diego Paez-Granados, Bruno Leme, Kenji Suzuki
    http://arxiv.org/abs/2107.13365v1

    • [cs.SE]Checking Patch Behaviour against Test Specification
    Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyande
    http://arxiv.org/abs/2107.13296v1

    • [cs.SI]Co-evolution of Rumor Diffusion and Structural Stability in Signed Social Networks
    Temirlan Kalimzhanov, Amir Haji Ali Khamseh’i, Aresh Dadlani, Muthukrishnan Senthil Kumar, Ahmad Khonsari
    http://arxiv.org/abs/2107.13437v1

    • [cs.SI]Social media emotion macroscopes reflect emotional experiences in society at large
    David Garcia, Max Pellert, Jana Lasser, Hannah Metzler
    http://arxiv.org/abs/2107.13236v1

    • [eess.AS]A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
    Uddipan Mukherjee, Sidharth Pancholi
    http://arxiv.org/abs/2107.13237v1

    • [eess.AS]Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition
    Samuel Kessler, Bethan Thomas, Salah Karout
    http://arxiv.org/abs/2107.13530v1

    • [eess.IV]AI assisted method for efficiently generating breast ultrasound screening reports
    Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan
    http://arxiv.org/abs/2107.13431v1

    • [eess.IV]An explainable two-dimensional single model deep learning approach for Alzheimer’s disease diagnosis and brain atrophy localization
    Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu
    http://arxiv.org/abs/2107.13200v1

    • [eess.IV]High-speed object detection with a single-photon time-of-flight image sensor
    Germán Mora-Martín, Alex Turpin, Alice Ruget, Abderrahim Halimi, Robert Henderson, Jonathan Leach, Istvan Gyongy
    http://arxiv.org/abs/2107.13407v1

    • [eess.IV]Insights from Generative Modeling for Neural Video Compression
    Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
    http://arxiv.org/abs/2107.13136v1

    • [eess.IV]Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
    Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres
    http://arxiv.org/abs/2107.13157v1

    • [eess.IV]TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
    Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson
    http://arxiv.org/abs/2107.13542v1

    • [eess.IV]Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
    Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
    http://arxiv.org/abs/2107.13048v1

    • [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
    Nicolas Valenchon, Yann Bouteiller, Hugo R. Jourde, Emily B. J. Coffey, Giovanni Beltrame
    http://arxiv.org/abs/2107.13473v1

    • [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
    Vishal Gupta, Michael Huang, Paat Rusmevichientong
    http://arxiv.org/abs/2107.12438v2

    • [math.OC]Dynamic Programming and Linear Programming for Odds Problem
    Sachika Kurokawa, Tomomi Matsui
    http://arxiv.org/abs/2107.13146v1

    • [math.OC]Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
    Ben Hambly, Renyuan Xu, Huining Yang
    http://arxiv.org/abs/2107.13090v1

    • [math.PR]Recursive Estimation of a Failure Probability for a Lipschitz Function
    Lucie Bernard, Albert Cohen, Arnaud Guyader, Florent Malrieu
    http://arxiv.org/abs/2107.13369v1

    • [math.PR]Refined Cramér Type Moderate Deviation Theorems for General Self-normalized Sums with Applications to Dependent Random Variables and Winsorized Mean
    Lan Gao, Qi-Man Shao, Jiasheng Shi
    http://arxiv.org/abs/2107.13205v1

    • [math.ST]Global minimizers, strict and non-strict saddle points, and implicit regularization for deep linear neural networks
    El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
    http://arxiv.org/abs/2107.13289v1

    • [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
    Ritwik Sadhu, Ziv Goldfeld, Kengo Kato
    http://arxiv.org/abs/2107.13494v1

    • [math.ST]One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
    Geoffrey Ecoto, Aurélien Bibaut, Antoine Chambaz
    http://arxiv.org/abs/2107.13291v1

    • [math.ST]Sparse approximation of triangular transports. Part II: the infinite dimensional case
    Jakob Zech, Youssef Marzouk
    http://arxiv.org/abs/2107.13422v1

    • [nucl-th]Self-learning Emulators and Eigenvector Continuation
    Avik Sarkar, Dean Lee
    http://arxiv.org/abs/2107.13449v1

    • [physics.flu-dyn]A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC)
    Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B Park, Markus Bussmann
    http://arxiv.org/abs/2107.13067v1

    • [physics.soc-ph]Hiding in Temporal Networks
    Marcin Waniek, Petter Holme, Talal Rahwan
    http://arxiv.org/abs/2107.13174v1

    • [q-fin.TR]Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
    A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan, Md. Golam Rabiul Alam, Mahbub Majumdar
    http://arxiv.org/abs/2107.13148v1

    • [quant-ph]Queue-Channel Capacities with Generalized Amplitude Damping
    Vikesh Siddhu, Avhishek Chatterjee, Krishna Jagannathan, Prabha Mandayam, Sridhar Tayur
    http://arxiv.org/abs/2107.13486v1

    • [stat.AP]MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
    Kasun Bandara, Rob J Hyndman, Christoph Bergmeir
    http://arxiv.org/abs/2107.13462v1

    • [stat.AP]Non-stationarity in correlation matrices for wind turbine SCADA-data and implications for failure detection
    Henrik M. Bette, Edgar Jungblut, Thomas Guhr
    http://arxiv.org/abs/2107.13256v1

    • [stat.ME]An Aggregation Scheme for Increased Power in Primary Outcome Analysis
    Timothy Lycurgus, Ben B. Hansen
    http://arxiv.org/abs/2107.13070v1

    • [stat.ME]Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics
    Mario Germán Sandoval, Americo Cunha Jr, Rubens Sampaio
    http://arxiv.org/abs/2107.13535v1

    • [stat.ME]Modeling the systematic behavior at the micro and nano length scale
    Danilo Quagliotti
    http://arxiv.org/abs/2107.13075v1

    • [stat.ME]Survival stacking: casting survival analysis as a classification problem
    Erin Craig, Chenyang Zhong, Robert Tibshirani
    http://arxiv.org/abs/2107.13480v1

    • [stat.ML]Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary
    Kiheiji Nishida, Kanta Naito
    http://arxiv.org/abs/2107.13430v1