cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CG - 计算几何学
    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.DS - 数据结构与算法
    cs.GR - 计算机图形学
    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.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SY - 系统和控制
    hep-th - 高能物理理论
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.flu-dyn - 流体动力学
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Contrastive Explanations for Argumentation-Based Conclusions
    • [cs.AI]Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models
    • [cs.AI]Levels of explainable artificial intelligence for human-aligned conversational explanations
    • [cs.AI]Nested Counterfactual Identification from Arbitrary Surrogate Experiments
    • [cs.AI]Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
    • [cs.AI]Supervised Bayesian Specification Inference from Demonstrations
    • [cs.AR]R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
    • [cs.CG]Minimum Constraint Removal Problem for Line Segments is NP-hard
    • [cs.CL]A Survey on Data Augmentation for Text Classification
    • [cs.CL]A Survey on Dialogue Summarization: Recent Advances and New Frontiers
    • [cs.CL]DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context
    • [cs.CL]EchoEA: Echo Information between Entities and Relations for Entity Alignment
    • [cs.CL]Efficient Transformer for Direct Speech Translation
    • [cs.CL]Hierarchical Text Classification of Urdu News using Deep Neural Network
    • [cs.CL]Kosp2e: Korean Speech to English Translation Corpus
    • [cs.CL]Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
    • [cs.CL]Linear-time calculation of the expected sum of edge lengths in random projective linearizations of trees
    • [cs.CL]MedGPT: Medical Concept Prediction from Clinical Narratives
    • [cs.CL]Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
    • [cs.CL]On Training Instance Selection for Few-Shot Neural Text Generation
    • [cs.CL]Robustifying Multi-hop QA through Pseudo-Evidentiality Training
    • [cs.CL]Sarcasm Detection: A Comparative Study
    • [cs.CL]SinSpell: A Comprehensive Spelling Checker for Sinhala
    • [cs.CL]Time-Aware Ancient Chinese Text Translation and Inference
    • [cs.CL]Topic Modeling in the Voynich Manuscript
    • [cs.CR]Android Security using NLP Techniques: A Review
    • [cs.CR]Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code
    • [cs.CR]RoFL: Attestable Robustness for Secure Federated Learning
    • [cs.CR]SAGE: Intrusion Alert-driven Attack Graph Extractor
    • [cs.CR]Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals
    • [cs.CV]A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
    • [cs.CV]Action Units Recognition Using Improved Pairwise Deep Architecture
    • [cs.CV]Bi-level Feature Alignment for Versatile Image Translation and Manipulation
    • [cs.CV]Blind Image Super-Resolution: A Survey and Beyond
    • [cs.CV]Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
    • [cs.CV]Controlled Caption Generation for Images Through Adversarial Attacks
    • [cs.CV]Cross-View Exocentric to Egocentric Video Synthesis
    • [cs.CV]Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
    • [cs.CV]Deep Learning based Micro-expression Recognition: A Survey
    • [cs.CV]Disentangle Your Dense Object Detector
    • [cs.CV]E-PixelHop: An Enhanced PixelHop Method for Object Classification
    • [cs.CV]Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
    • [cs.CV]FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
    • [cs.CV]FasterPose: A Faster Simple Baseline for Human Pose Estimation
    • [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
    • [cs.CV]GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
    • [cs.CV]GLiT: Neural Architecture Search for Global and Local Image Transformer
    • [cs.CV]Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
    • [cs.CV]Group Sampling for Unsupervised Person Re-identification
    • [cs.CV]HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
    • [cs.CV]Hierarchical Semantic Segmentation using Psychometric Learning
    • [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
    • [cs.CV]IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
    • [cs.CV]Introducing the structural bases of typicality effects in deep learning
    • [cs.CV]Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
    • [cs.CV]Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
    • [cs.CV]Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
    • [cs.CV]Learning Stixel-based Instance Segmentation
    • [cs.CV]Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
    • [cs.CV]Long Short-Term Transformer for Online Action Detection
    • [cs.CV]Mitigating Generation Shifts for Generalized Zero-Shot Learning
    • [cs.CV]MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering
    • [cs.CV]Multi-modal Affect Analysis using standardized data within subjects in the Wild
    • [cs.CV]Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
    • [cs.CV]Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
    • [cs.CV]Plot2Spectra: an Automatic Spectra Extraction Tool
    • [cs.CV]Poly-NL: Linear Complexity Non-local Layers with Polynomials
    • [cs.CV]PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
    • [cs.CV]Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
    • [cs.CV]Scalable Data Balancing for Unlabeled Satellite Imagery
    • [cs.CV]Self-supervised Outdoor Scene Relighting
    • [cs.CV]SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
    • [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
    • [cs.CV]Urban Tree Species Classification Using Aerial Imagery
    • [cs.CV]VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
    • [cs.CV]Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
    • [cs.CV]Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
    • [cs.CV]WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
    • [cs.CY]Towards Achieving Trust Through Transparency and Ethics (Pre-Print)
    • [cs.CY]Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020
    • [cs.DC]Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
    • [cs.DC]Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing
    • [cs.DS]Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark
    • [cs.GR]Egocentric Videoconferencing
    • [cs.GT]Building Stable Off-chain Payment Networks
    • [cs.HC]How Big Are Peoples’ Computer Files? File Size Distributions Among User-managed Collections
    • [cs.HC]Personal Information Management
    • [cs.IR]”Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
    • [cs.IR]Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
    • [cs.IR]SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
    • [cs.IT]An Overview on the Application of Graph Neural Networks in Wireless Networks
    • [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
    • [cs.IT]Discriminative Mutual Information Estimators for Channel Capacity Learning
    • [cs.IT]Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
    • [cs.IT]IRS-Aided WPCNs: A New Optimization Framework for Dynamic IRS Beamforming
    • [cs.IT]Prospective Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications: A Tutorial
    • [cs.IT]Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays
    • [cs.IT]Semilinear transformations in coding theory and their application to cryptography
    • [cs.IT]Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA
    • [cs.LG]A Survey of Uncertainty in Deep Neural Networks
    • [cs.LG]ADAPT : Awesome Domain Adaptation Python Toolbox
    • [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
    • [cs.LG]Bias-Tolerant Fair Classification
    • [cs.LG]Deep Extrapolation for Attribute-Enhanced Generation
    • [cs.LG]Differentiable Architecture Pruning for Transfer Learning
    • [cs.LG]Discrete-Valued Neural Communication
    • [cs.LG]Distributed adaptive algorithm based on the asymmetric cost of error functions
    • [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
    • [cs.LG]Episodic Bandits with Stochastic Experts
    • [cs.LG]Evaluating Large Language Models Trained on Code
    • [cs.LG]Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
    • [cs.LG]Exact Learning Augmented Naive Bayes Classifier
    • [cs.LG]Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
    • [cs.LG]Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
    • [cs.LG]Incorporating Label Uncertainty in Understanding Adversarial Robustness
    • [cs.LG]Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network
    • [cs.LG]KaFiStO: A Kalman Filtering Framework for Stochastic Optimization
    • [cs.LG]Keiki: Towards Realistic Danmaku Generation via Sequential GANs
    • [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    • [cs.LG]Logit-based Uncertainty Measure in Classification
    • [cs.LG]Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
    • [cs.LG]On Codomain Separability and Label Inference from (Noisy) Loss Functions
    • [cs.LG]Predicting with Confidence on Unseen Distributions
    • [cs.LG]Principles for Evaluation of AI/ML Model Performance and Robustness
    • [cs.LG]Probabilistic partition of unity networks: clustering based deep approximation
    • [cs.LG]Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
    • [cs.LG]Provable Lipschitz Certification for Generative Models
    • [cs.LG]RISAN: Robust Instance Specific Abstention Network
    • [cs.LG]Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
    • [cs.LG]Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
    • [cs.LG]Structured Denoising Diffusion Models in Discrete State-Spaces
    • [cs.LG]Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
    • [cs.NE]Growing and Evolving 3D Prints
    • [cs.NE]Model-agnostic multi-objective approach for theevolutionary discovery of mathematical models
    • [cs.NI]6G: from Densification to Diversification
    • [cs.RO]Humans as Path-Finders for Safe Navigation
    • [cs.RO]Learning Latent Actions to Control Assistive Robots
    • [cs.RO]Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
    • [cs.RO]MPLP: Massively Parallelized Lazy Planning
    • [cs.RO]Maintaining a Reliable World Model using Action-aware Perceptual Anchoring
    • [cs.RO]On the Robot Assisted Movement in Wireless Mobile Sensor Networks
    • [cs.RO]Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
    • [cs.RO]RAM-VO: Less is more in Visual Odometry
    • [cs.RO]RRL: Resnet as representation for Reinforcement Learning
    • [cs.RO]Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations
    • [cs.RO]RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
    • [cs.RO]Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives
    • [cs.RO]Toward Robotically Automated Femoral Vascular Access
    • [cs.RO]WaspL: Design of a Reconfigurable Logistic Robot for Hospital Settings
    • [cs.SD]MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification
    • [cs.SD]SoundStream: An End-to-End Neural Audio Codec
    • [cs.SE]From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
    • [cs.SI]Climate Change Conspiracy Theories on Social Media
    • [cs.SI]Cognitive Contagion: How to model (and potentially counter) the spread of fake news
    • [cs.SI]Directed Network Laplacians and Random Graph Models
    • [cs.SI]Optimal Edge Weight Perturbations to Attack Shortest Paths
    • [cs.SI]The Geography of Open Source Software: Evidence from GitHub
    • [econ.EM]Estimation and Inference in Factor Copula Models with Exogenous Covariates
    • [eess.AS]A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
    • [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
    • [eess.IV]A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
    • [eess.IV]AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation
    • [eess.IV]Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
    • [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
    • [eess.IV]End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
    • [eess.IV]GAN-based Data Augmentation for Chest X-ray Classification
    • [eess.IV]Image Complexity Guided Network Compression for Biomedical Image Segmentation
    • [eess.IV]Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
    • [eess.SY]DER Forecast using Privacy Preserving Federated Learning
    • [hep-th]Non-rational Narain CFTs from codes over 今日学术视野(2021.7.9) - 图1
    • [math.NA]Samplets: A new paradigm for data compression
    • [math.OC]Distributed stochastic optimization with large delays
    • [math.ST]Bounded support in linear random coefficient models: Identification and variable selection
    • [math.ST]Distance correlation for long-range dependent time series
    • [math.ST]Distance covariance for random fields
    • [math.ST]High dimensional precision matrix estimation under weak sparsity
    • [math.ST]Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
    • [physics.flu-dyn]A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows
    • [q-bio.NC]Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
    • [q-bio.QM]Mid infrared spectroscopy and milk quality traits: a data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
    • [quant-ph]A Leap among Entanglement and Neural Networks: A Quantum Survey
    • [stat.AP]Assessing the forensic value of DNA evidence from Y chromosomes and mitogenomes
    • [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
    • [stat.AP]Patient-reported outcomes in the context of the benefit assessment in Germany
    • [stat.ME]An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution
    • [stat.ME]Non-Homogeneity Estimation and Universal Kriging on the Sphere
    • [stat.ME]Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
    • [stat.ME]Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
    • [stat.ME]When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
    • [stat.ML]A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions
    • [stat.ML]An algorithmic view of 今日学术视野(2021.7.9) - 图2 regularization and some path-following algorithms
    • [stat.ML]Combined Global and Local Search for Optimization with Gaussian Process Models
    • [stat.ML]MD-split+: Practical Local Conformal Inference in High Dimensions
    • [stat.ML]Neural Contextual Bandits without Regret
    • [stat.ML]New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
    • [stat.ML]Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
    • [stat.ML]Test for non-negligible adverse shifts
    • [stat.ML]Transfer Learning in Information Criteria-based Feature Selection

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

    • [cs.AI]Contrastive Explanations for Argumentation-Based Conclusions
    AnneMarie Borg, Floris Bex
    http://arxiv.org/abs/2107.03265v1

    • [cs.AI]Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models
    Timo Müller, Benjamin Lindemann, Tobias Jung, Nasser Jazdi, Michael Weyrich
    http://arxiv.org/abs/2107.03324v1

    • [cs.AI]Levels of explainable artificial intelligence for human-aligned conversational explanations
    Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
    http://arxiv.org/abs/2107.03178v1

    • [cs.AI]Nested Counterfactual Identification from Arbitrary Surrogate Experiments
    Juan D Correa, Sanghack Lee, Elias Bareinboim
    http://arxiv.org/abs/2107.03190v1

    • [cs.AI]Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
    Daniel Diomedi, Aidan Hogan
    http://arxiv.org/abs/2107.02865v1

    • [cs.AI]Supervised Bayesian Specification Inference from Demonstrations
    Ankit Shah, Pritish Kamath, Shen Li, Patrick Craven, Kevin Landers, Kevin Oden, Julie Shah
    http://arxiv.org/abs/2107.02912v1

    • [cs.AR]R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
    Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
    http://arxiv.org/abs/2107.03096v1

    • [cs.CG]Minimum Constraint Removal Problem for Line Segments is NP-hard
    Bahram Sadeghi Bigham
    http://arxiv.org/abs/2107.03140v1

    • [cs.CL]A Survey on Data Augmentation for Text Classification
    Markus Bayer, Marc-André Kaufhold, Christian Reuter
    http://arxiv.org/abs/2107.03158v1

    • [cs.CL]A Survey on Dialogue Summarization: Recent Advances and New Frontiers
    Xiachong Feng, Xiaocheng Feng, Bing Qin
    http://arxiv.org/abs/2107.03175v1

    • [cs.CL]DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context
    Hyunmin Jeon, Gary Geunbae Lee
    http://arxiv.org/abs/2107.03286v1

    • [cs.CL]EchoEA: Echo Information between Entities and Relations for Entity Alignment
    Xueyuan Lin, Haihong E, Wenyu Song, Haoran Luo
    http://arxiv.org/abs/2107.03054v1

    • [cs.CL]Efficient Transformer for Direct Speech Translation
    Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà
    http://arxiv.org/abs/2107.03069v1

    • [cs.CL]Hierarchical Text Classification of Urdu News using Deep Neural Network
    Taimoor Ahmed Javed, Waseem Shahzad, Umair Arshad
    http://arxiv.org/abs/2107.03141v1

    • [cs.CL]Kosp2e: Korean Speech to English Translation Corpus
    Won Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim
    http://arxiv.org/abs/2107.02875v1

    • [cs.CL]Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
    Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
    http://arxiv.org/abs/2107.03266v1

    • [cs.CL]Linear-time calculation of the expected sum of edge lengths in random projective linearizations of trees
    Lluís Alemany-Puig, Ramon Ferrer-i-Cancho
    http://arxiv.org/abs/2107.03277v1

    • [cs.CL]MedGPT: Medical Concept Prediction from Clinical Narratives
    Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James Teo, Richard Dobson
    http://arxiv.org/abs/2107.03134v1

    • [cs.CL]Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
    Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlalı, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz, Dragomir Radev
    http://arxiv.org/abs/2107.02975v1

    • [cs.CL]On Training Instance Selection for Few-Shot Neural Text Generation
    Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg
    http://arxiv.org/abs/2107.03176v1

    • [cs.CL]Robustifying Multi-hop QA through Pseudo-Evidentiality Training
    Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee
    http://arxiv.org/abs/2107.03242v1

    • [cs.CL]Sarcasm Detection: A Comparative Study
    Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
    http://arxiv.org/abs/2107.02276v2

    • [cs.CL]SinSpell: A Comprehensive Spelling Checker for Sinhala
    Upuli Liyanapathirana, Kaumini Gunasinghe, Gihan Dias
    http://arxiv.org/abs/2107.02983v1

    • [cs.CL]Time-Aware Ancient Chinese Text Translation and Inference
    Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg
    http://arxiv.org/abs/2107.03179v1

    • [cs.CL]Topic Modeling in the Voynich Manuscript
    Rachel Sterneck, Annie Polish, Claire Bowern
    http://arxiv.org/abs/2107.02858v1

    • [cs.CR]Android Security using NLP Techniques: A Review
    Sevil Sen, Burcu Can
    http://arxiv.org/abs/2107.03072v1

    • [cs.CR]Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code
    Minoru Kuribayashi, Tatsuya Yasui, Asad Malik, Nobuo Funabiki
    http://arxiv.org/abs/2107.02961v1

    • [cs.CR]RoFL: Attestable Robustness for Secure Federated Learning
    Lukas Burkhalter, Hidde Lycklama à Nijeholt, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
    http://arxiv.org/abs/2107.03311v1

    • [cs.CR]SAGE: Intrusion Alert-driven Attack Graph Extractor
    Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang
    http://arxiv.org/abs/2107.02783v1

    • [cs.CR]Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals
    Ritu Lakshmi, Humza Naseer, Sean Maynard, Atif Ahmad
    http://arxiv.org/abs/2107.02941v1

    • [cs.CV]A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
    Hu Chen, Hong Li, Bifu Hu, Kenan Ma, Yuchun Sun
    http://arxiv.org/abs/2107.03030v1

    • [cs.CV]Action Units Recognition Using Improved Pairwise Deep Architecture
    Junya Saito, Xiaoyu Mi, Akiyoshi Uchida, Sachihiro Youoku, Takahisa Yamamoto, Kentaro Murase
    http://arxiv.org/abs/2107.03143v1

    • [cs.CV]Bi-level Feature Alignment for Versatile Image Translation and Manipulation
    Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao
    http://arxiv.org/abs/2107.03021v1

    • [cs.CV]Blind Image Super-Resolution: A Survey and Beyond
    Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
    http://arxiv.org/abs/2107.03055v1

    • [cs.CV]Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
    Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q. -H. Meng
    http://arxiv.org/abs/2107.03225v1

    • [cs.CV]Controlled Caption Generation for Images Through Adversarial Attacks
    Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian
    http://arxiv.org/abs/2107.03050v1

    • [cs.CV]Cross-View Exocentric to Egocentric Video Synthesis
    Gaowen Liu, Hao Tang, Hugo Latapie, Jason Corso, Yan Yan
    http://arxiv.org/abs/2107.03120v1

    • [cs.CV]Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
    Reza Jalil Mozhdehi, Henry Medeiros
    http://arxiv.org/abs/2107.02984v1

    • [cs.CV]Deep Learning based Micro-expression Recognition: A Survey
    Yante Li, Jinsheng Wei, Seyednavid Mohammadifoumani, Yang Liu, Guoying Zhao
    http://arxiv.org/abs/2107.02823v1

    • [cs.CV]Disentangle Your Dense Object Detector
    Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zhengjun Zha, Feng Wu
    http://arxiv.org/abs/2107.02963v1

    • [cs.CV]E-PixelHop: An Enhanced PixelHop Method for Object Classification
    Yijing Yang, Vasileios Magoulianitis, C. -C. Jay Kuo
    http://arxiv.org/abs/2107.02966v1

    • [cs.CV]Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
    Numair Khan, Min H. Kim, James Tompkin
    http://arxiv.org/abs/2107.02967v1

    • [cs.CV]FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
    Kaiwen Cui, Gongjie Zhang, Fangneng Zhan, Jiaxing Huang, Shijian Lu
    http://arxiv.org/abs/2107.03166v1

    • [cs.CV]FasterPose: A Faster Simple Baseline for Human Pose Estimation
    Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei
    http://arxiv.org/abs/2107.03215v1

    • [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
    Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato
    http://arxiv.org/abs/2107.02718v2

    • [cs.CV]GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
    Shuang Deng, Qiulei Dong
    http://arxiv.org/abs/2107.03101v1

    • [cs.CV]GLiT: Neural Architecture Search for Global and Local Image Transformer
    Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie yan, Wanli Ouyang
    http://arxiv.org/abs/2107.02960v1

    • [cs.CV]Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
    Jia Li, Linhua Xiang, Jiwei Chen, Zengfu Wang
    http://arxiv.org/abs/2107.03098v1

    • [cs.CV]Group Sampling for Unsupervised Person Re-identification
    Xumeng Han, Xuehui Yu, Nan Jiang, Guorong Li, Jian Zhao, Qixiang Ye, Zhenjun Han
    http://arxiv.org/abs/2107.03024v1

    • [cs.CV]HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
    Huayao Liu, Ruiping Liu, Kailun Yang, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen
    http://arxiv.org/abs/2107.03180v1

    • [cs.CV]Hierarchical Semantic Segmentation using Psychometric Learning
    Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy
    http://arxiv.org/abs/2107.03212v1

    • [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
    Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
    http://arxiv.org/abs/2107.02451v2

    • [cs.CV]IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
    Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng
    http://arxiv.org/abs/2107.03352v1

    • [cs.CV]Introducing the structural bases of typicality effects in deep learning
    Omar Vidal Pino, Erickson Rangel Nascimento, Mario Fernando Montenegro Campos
    http://arxiv.org/abs/2107.03279v1

    • [cs.CV]Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
    Yanjie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
    http://arxiv.org/abs/2107.03332v1

    • [cs.CV]Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
    Xiang Li, Lingjing Wang, Yi Fang
    http://arxiv.org/abs/2107.02972v1

    • [cs.CV]Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
    Xiaodong Wang, Junbao Zhuo, Shuhao Cui, Shuhui Wang
    http://arxiv.org/abs/2107.03008v1

    • [cs.CV]Learning Stixel-based Instance Segmentation
    Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke
    http://arxiv.org/abs/2107.03070v1

    • [cs.CV]Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
    Mouath Aouayeb, Wassim Hamidouche, Catherine Soladie, Kidiyo Kpalma, Renaud Seguier
    http://arxiv.org/abs/2107.03107v1

    • [cs.CV]Long Short-Term Transformer for Online Action Detection
    Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
    http://arxiv.org/abs/2107.03377v1

    • [cs.CV]Mitigating Generation Shifts for Generalized Zero-Shot Learning
    Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang
    http://arxiv.org/abs/2107.03163v1

    • [cs.CV]MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering
    Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, Kun Shi
    http://arxiv.org/abs/2107.03216v1

    • [cs.CV]Multi-modal Affect Analysis using standardized data within subjects in the Wild
    Sachihiro Youoku, Takahisa Yamamoto, Junya Saito, Akiyoshi Uchida, Xiaoyu Mi, Ziqiang Shi, Liu Liu, Zhongling Liu
    http://arxiv.org/abs/2107.03009v1

    • [cs.CV]Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
    Bingchen Zhao, Kai Han
    http://arxiv.org/abs/2107.03358v1

    • [cs.CV]Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
    Bart Iver van Blokland, Theoharis Theoharis
    http://arxiv.org/abs/2107.03368v1

    • [cs.CV]Plot2Spectra: an Automatic Spectra Extraction Tool
    Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Kai Li, Maria K. Y. Chan, Oliver Cossairt
    http://arxiv.org/abs/2107.02827v1

    • [cs.CV]Poly-NL: Linear Complexity Non-local Layers with Polynomials
    Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou
    http://arxiv.org/abs/2107.02859v1

    • [cs.CV]PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
    Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi
    http://arxiv.org/abs/2107.03000v1

    • [cs.CV]Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
    Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu
    http://arxiv.org/abs/2107.03105v1

    • [cs.CV]Scalable Data Balancing for Unlabeled Satellite Imagery
    Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam
    http://arxiv.org/abs/2107.03227v1

    • [cs.CV]Self-supervised Outdoor Scene Relighting
    Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith
    http://arxiv.org/abs/2107.03106v1

    • [cs.CV]SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
    Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
    http://arxiv.org/abs/2107.02988v1

    • [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
    Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
    http://arxiv.org/abs/2107.03172v1

    • [cs.CV]Urban Tree Species Classification Using Aerial Imagery
    Emily Waters, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer
    http://arxiv.org/abs/2107.03182v1

    • [cs.CV]VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
    Yuanxin Zhong, Minghan Zhu, Huei Peng
    http://arxiv.org/abs/2107.02980v1

    • [cs.CV]Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
    Hajime Taira, Koki Onbe, Naoyuki Miyashita, Masatoshi Okutomi
    http://arxiv.org/abs/2107.03068v1

    • [cs.CV]Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
    Yifu Wang, Jiaqi Yang, Xin Peng, Peng Wu, Ling Gao, Kun Huang, Jiaben Chen, Laurent Kneip
    http://arxiv.org/abs/2107.03011v1

    • [cs.CV]WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
    Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shutao Xia, Feng Zheng, Maowei Hu
    http://arxiv.org/abs/2107.03088v1

    • [cs.CY]Towards Achieving Trust Through Transparency and Ethics (Pre-Print)
    David Kwan, Luiz Marcio Cysneiros, Julio Cesar Sampaio do Prado Leite
    http://arxiv.org/abs/2107.02959v1

    • [cs.CY]Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020
    Shuchi Chawla, Jelani Nelson, Chris Umans, David Woodruff
    http://arxiv.org/abs/2107.02846v1

    • [cs.DC]Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
    Mohit Garg, Cian Johnston, Mélanie Bouroche
    http://arxiv.org/abs/2107.03078v1

    • [cs.DC]Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing
    Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster
    http://arxiv.org/abs/2107.02841v1

    • [cs.DS]Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark
    Ylenia Galluzzo, Raffaele Giancarlo, Mario Randazzo, Simona E. Rombo
    http://arxiv.org/abs/2107.03341v1

    • [cs.GR]Egocentric Videoconferencing
    Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt
    http://arxiv.org/abs/2107.03109v1

    • [cs.GT]Building Stable Off-chain Payment Networks
    MohammadAmin Fazli, Seyed Moeen Nehzati, MohammadAmin Salarkia
    http://arxiv.org/abs/2107.03367v1

    • [cs.HC]How Big Are Peoples’ Computer Files? File Size Distributions Among User-managed Collections
    Jesse David Dinneen, Ba Xuan Nguyen
    http://arxiv.org/abs/2107.03272v1

    • [cs.HC]Personal Information Management
    William Jones, Jesse David Dinneen, Robert Capra, Anne R. Diekema, Manuel A. Pérez-Quiñones
    http://arxiv.org/abs/2107.03291v1

    • [cs.IR]“Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
    Patrick John Chia, Bingqing Yu, Jacopo Tagliabue
    http://arxiv.org/abs/2107.03256v1

    • [cs.IR]Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
    Iván Cantador, Andrés Carvallo, Fernando Diez, Denis Parra
    http://arxiv.org/abs/2107.03226v1

    • [cs.IR]SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
    Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
    http://arxiv.org/abs/2107.03019v1

    • [cs.IT]An Overview on the Application of Graph Neural Networks in Wireless Networks
    S. He, S. Xiong, Y. Ou, J. Zhang, J. Wang, Y. Huang, Y. Zhang
    http://arxiv.org/abs/2107.03029v1

    • [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
    Yihuan Liao, Min Qiu, Jinhong Yuan
    http://arxiv.org/abs/2107.02327v2

    • [cs.IT]Discriminative Mutual Information Estimators for Channel Capacity Learning
    Nunzio A. Letizia, Andrea M. Tonello
    http://arxiv.org/abs/2107.03084v1

    • [cs.IT]Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
    Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
    http://arxiv.org/abs/2107.02884v1

    • [cs.IT]IRS-Aided WPCNs: A New Optimization Framework for Dynamic IRS Beamforming
    Qingqing Wu, Xiaobo Zhou, Wen Chen, Jun Li, Xiuyin Zhang
    http://arxiv.org/abs/2107.03251v1

    • [cs.IT]Prospective Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications: A Tutorial
    Boyu Ning, Zhongbao Tian, Zhi Chen, Chong Han, Jinhong Yuan, Shaoqian Li
    http://arxiv.org/abs/2107.03032v1

    • [cs.IT]Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays
    Jun Ma, Yanxiao Liu, Shenghao Yang
    http://arxiv.org/abs/2107.03083v1

    • [cs.IT]Semilinear transformations in coding theory and their application to cryptography
    Wenshuo Guo, Fang-Wei Fu
    http://arxiv.org/abs/2107.03157v1

    • [cs.IT]Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA
    R. Salgado-García
    http://arxiv.org/abs/2107.02795v1

    • [cs.LG]A Survey of Uncertainty in Deep Neural Networks
    Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
    http://arxiv.org/abs/2107.03342v1

    • [cs.LG]ADAPT : Awesome Domain Adaptation Python Toolbox
    Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
    http://arxiv.org/abs/2107.03049v1

    • [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
    Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
    http://arxiv.org/abs/2107.02729v2

    • [cs.LG]Bias-Tolerant Fair Classification
    Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
    http://arxiv.org/abs/2107.03207v1

    • [cs.LG]Deep Extrapolation for Attribute-Enhanced Generation
    Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik
    http://arxiv.org/abs/2107.02968v1

    • [cs.LG]Differentiable Architecture Pruning for Transfer Learning
    Nicolo Colombo, Yang Gao
    http://arxiv.org/abs/2107.03375v1

    • [cs.LG]Discrete-Valued Neural Communication
    Dianbo Liu Dianbo_Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio
    http://arxiv.org/abs/2107.02367v2

    • [cs.LG]Distributed adaptive algorithm based on the asymmetric cost of error functions
    Sihai Guan, Qing Cheng, Yong Zhao
    http://arxiv.org/abs/2107.03067v1

    • [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
    Elias Frantar, Eldar Kurtic, Dan Alistarh
    http://arxiv.org/abs/2107.03356v1

    • [cs.LG]Episodic Bandits with Stochastic Experts
    Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
    http://arxiv.org/abs/2107.03263v1

    • [cs.LG]Evaluating Large Language Models Trained on Code
    Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde, Jared Kaplan, Harri Edwards, Yura Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, Will Guss, Alex Nichol, Igor Babuschkin, Suchir Balaji, Shantanu Jain, Andrew Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba
    http://arxiv.org/abs/2107.03374v1

    • [cs.LG]Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
    Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron
    http://arxiv.org/abs/2107.03015v1

    • [cs.LG]Exact Learning Augmented Naive Bayes Classifier
    Shouta Sugahara, Maomi Ueno
    http://arxiv.org/abs/2107.03018v1

    • [cs.LG]Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
    Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe
    http://arxiv.org/abs/2107.03003v1

    • [cs.LG]Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
    Quan Duong, Dang Nguyen, Quoc Nguyen
    http://arxiv.org/abs/2107.03080v1

    • [cs.LG]Incorporating Label Uncertainty in Understanding Adversarial Robustness
    Xiao Zhang, David Evans
    http://arxiv.org/abs/2107.03250v1

    • [cs.LG]Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network
    Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey
    http://arxiv.org/abs/2107.03187v1

    • [cs.LG]KaFiStO: A Kalman Filtering Framework for Stochastic Optimization
    Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvilli, Adam Bielski, Paolo Favaro
    http://arxiv.org/abs/2107.03331v1

    • [cs.LG]Keiki: Towards Realistic Danmaku Generation via Sequential GANs
    Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
    http://arxiv.org/abs/2107.02991v1

    • [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
    Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness
    http://arxiv.org/abs/2107.02359v2

    • [cs.LG]Logit-based Uncertainty Measure in Classification
    Huiyu Wu, Diego Klabjan
    http://arxiv.org/abs/2107.02845v1

    • [cs.LG]Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
    Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
    http://arxiv.org/abs/2107.03354v1

    • [cs.LG]On Codomain Separability and Label Inference from (Noisy) Loss Functions
    Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
    http://arxiv.org/abs/2107.03022v1

    • [cs.LG]Predicting with Confidence on Unseen Distributions
    Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt
    http://arxiv.org/abs/2107.03315v1

    • [cs.LG]Principles for Evaluation of AI/ML Model Performance and Robustness
    Olivia Brown, Andrew Curtis, Justin Goodwin
    http://arxiv.org/abs/2107.02868v1

    • [cs.LG]Probabilistic partition of unity networks: clustering based deep approximation
    Nat Trask, Mamikon Gulian, Andy Huang, Kookjin Lee
    http://arxiv.org/abs/2107.03066v1

    • [cs.LG]Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
    Benoit Fuentes, Gaël Richard
    http://arxiv.org/abs/2107.03317v1

    • [cs.LG]Provable Lipschitz Certification for Generative Models
    Matt Jordan, Alexandros G. Dimakis
    http://arxiv.org/abs/rg/abs/2107.02732v1

    • [cs.LG]RISAN: Robust Instance Specific Abstention Network
    Bhavya Kalra, Kulin Shah, Naresh Manwani
    http://arxiv.org/abs/2107.03090v1

    • [cs.LG]Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
    Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich
    http://arxiv.org/abs/2107.03336v1

    • [cs.LG]Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
    Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
    http://arxiv.org/abs/2107.02911v1

    • [cs.LG]Structured Denoising Diffusion Models in Discrete State-Spaces
    Jacob Austin, Daniel Johnson, Jonathan Ho, Danny Tarlow, Rianne van den Berg
    http://arxiv.org/abs/2107.03006v1

    • [cs.LG]Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
    Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski
    http://arxiv.org/abs/2107.02951v1

    • [cs.NE]Growing and Evolving 3D Prints
    Jon McCormack, Camilo Cruz Gambardella
    http://arxiv.org/abs/2107.02976v1

    • [cs.NE]Model-agnostic multi-objective approach for theevolutionary discovery of mathematical models
    Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
    http://arxiv.org/abs/2107.03146v1

    • [cs.NI]6G: from Densification to Diversification
    Hyunsoo Kim, Taehyung Kim, Hyejin Kim, Insik Jung, Hakkeon Lee, Hyunmin Seo, Daesik Hong
    http://arxiv.org/abs/2107.03046v1

    • [cs.RO]Humans as Path-Finders for Safe Navigation
    Alessandro Antonucci, Paolo Bevilacqua, Stefano Leonardi, Luigi Palopoli, Daniele Fontanelli
    http://arxiv.org/abs/2107.03079v1

    • [cs.RO]Learning Latent Actions to Control Assistive Robots
    Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh
    http://arxiv.org/abs/2107.02907v1

    • [cs.RO]Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
    Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier
    http://arxiv.org/abs/2107.03186v1

    • [cs.RO]MPLP: Massively Parallelized Lazy Planning
    Shohin Mukherjee, Sandip Aine, Maxim Likhachev
    http://arxiv.org/abs/2107.02826v1

    • [cs.RO]Maintaining a Reliable World Model using Action-aware Perceptual Anchoring
    Ying Siu Liang, Dongkyu Choi, Kenneth Kwok
    http://arxiv.org/abs/2107.03038v1

    • [cs.RO]On the Robot Assisted Movement in Wireless Mobile Sensor Networks
    Sajal K. Das, Rafał Kapelko
    http://arxiv.org/abs/2107.03201v1

    • [cs.RO]Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
    Taehei Kim, Sung-Hee Lee
    http://arxiv.org/abs/2107.02955v1

    • [cs.RO]RAM-VO: Less is more in Visual Odometry
    Iury Cleveston, Esther L. Colombini
    http://arxiv.org/abs/2107.02974v1

    • [cs.RO]RRL: Resnet as representation for Reinforcement Learning
    Rutav Shah, Vikash Kumar
    http://arxiv.org/abs/2107.03380v1

    • [cs.RO]Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations
    Yuanxin Zhong, Huei Peng
    http://arxiv.org/abs/2107.02981v1

    • [cs.RO]RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
    Antoine Dizet, Cédric Le Bono, Amélie Legeleux, Maëlic neau, Cédric Buche
    http://arxiv.org/abs/2107.02978v1

    • [cs.RO]Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives
    Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev
    http://arxiv.org/abs/2107.02829v1

    • [cs.RO]Toward Robotically Automated Femoral Vascular Access
    Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard Weiss, Michael R. Pinsky, Hernando Gomez, John Galeotti, Howie Choset
    http://arxiv.org/abs/2107.02839v1

    • [cs.RO]WaspL: Design of a Reconfigurable Logistic Robot for Hospital Settings
    Yuyao Shi, Aamir Abdullah Hayat, Sivanantham Vinu, Mohan Rajesh Elara
    http://arxiv.org/abs/2107.03002v1

    • [cs.SD]MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification
    Fangyuan Wang, Zhigang Song, Hongchen Jiang, Bo Xu
    http://arxiv.org/abs/2107.03104v1

    • [cs.SD]SoundStream: An End-to-End Neural Audio Codec
    Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, Marco Tagliasacchi
    http://arxiv.org/abs/2107.03312v1

    • [cs.SE]From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
    Hamid Shamszare, Razieh Saremi, Sanam Jena
    http://arxiv.org/abs/2107.02890v1

    • [cs.SI]Climate Change Conspiracy Theories on Social Media
    Aman Tyagi, Kathleen M. Carley
    http://arxiv.org/abs/2107.03318v1

    • [cs.SI]Cognitive Contagion: How to model (and potentially counter) the spread of fake news
    Nicholas Rabb, Lenore Cowen, Jan P. de Ruiter, Matthias Scheutz
    http://arxiv.org/abs/2107.02828v1

    • [cs.SI]Directed Network Laplacians and Random Graph Models
    Xue Gong, Desmond John Higham, Konstantinos Zygalakis
    http://arxiv.org/abs/2107.03026v1

    • [cs.SI]Optimal Edge Weight Perturbations to Attack Shortest Paths
    Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
    http://arxiv.org/abs/2107.03347v1

    • [cs.SI]The Geography of Open Source Software: Evidence from GitHub
    Johannes Wachs, Mariusz Nitecki, William Schueller, Axel Polleres
    http://arxiv.org/abs/2107.03200v1

    • [econ.EM]Estimation and Inference in Factor Copula Models with Exogenous Covariates
    Alexander Mayer, Dominik Wied
    http://arxiv.org/abs/2107.03366v1

    • [eess.AS]A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
    Naoyuki Kanda, Xiong Xiao, Jian Wu, Tianyan Zhou, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
    http://arxiv.org/abs/2107.02852v1

    • [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
    Huahuan Zheng, Wenjie Peng, Zhijian Ou, Jinsong Zhang
    http://arxiv.org/abs/2107.03007v1

    • [eess.IV]A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
    Rao Muhammad Umer, Asad Munir, Christian Micheloni
    http://arxiv.org/abs/2107.03145v1

    • [eess.IV]AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation
    Tim Cvetko
    http://arxiv.org/abs/2107.03323v1

    • [eess.IV]Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
    Alireza Asvadi, Guillaume Dardenne, Jocelyne Troccaz, Valerie Burdin
    http://arxiv.org/abs/2107.03292v1

    • [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
    Nam Nguyen, J. Morris Chang
    http://arxiv.org/abs/2107.02672v2

    • [eess.IV]End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
    Youssef S. G. Nashed, Frederic Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner
    http://arxiv.org/abs/2107.02958v1

    • [eess.IV]GAN-based Data Augmentation for Chest X-ray Classification
    Shobhita Sundaram, Neha Hulkund
    http://arxiv.org/abs/2107.02970v1

    • [eess.IV]Image Complexity Guided Network Compression for Biomedical Image Segmentation
    Suraj Mishra, Danny Z. Chen, X. Sharon Hu
    http://arxiv.org/abs/2107.02927v1

    • [eess.IV]Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
    Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang
    http://arxiv.org/abs/2107.03035v1

    • [eess.SY]DER Forecast using Privacy Preserving Federated Learning
    Venkatesh Venkataramanan, Sridevi Kaza, Anuradha M. Annaswamy
    http://arxiv.org/abs/2107.03248v1

    • [hep-th]Non-rational Narain CFTs from codes over 今日学术视野(2021.7.9) - 图3
    Anatoly Dymarsky, Adar Sharon
    http://arxiv.org/abs/2107.02816v1

    • [math.NA]Samplets: A new paradigm for data compression
    Helmut Harbrecht, Michael Multerer
    http://arxiv.org/abs/2107.03337v1

    • [math.OC]Distributed stochastic optimization with large delays
    Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
    http://arxiv.org/abs/2107.02919v1

    • [math.ST]Bounded support in linear random coefficient models: Identification and variable selection
    Philipp Hermann, Hajo Holzmann
    http://arxiv.org/abs/2107.03245v1

    • [math.ST]Distance correlation for long-range dependent time series
    Annika Betken, Herold Dehling
    http://arxiv.org/abs/2107.03041v1

    • [math.ST]Distance covariance for random fields
    Muneya Matsui, Thomas Mikosch, Rasool Roozegar, Laleh Tafakori
    http://arxiv.org/abs/2107.03162v1

    • [math.ST]High dimensional precision matrix estimation under weak sparsity
    Zeyu Wu, Cheng Wang, Weidong Liu
    http://arxiv.org/abs/2107.02999v1

    • [math.ST]Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
    Xinran Li, Dylan S. Small
    http://arxiv.org/abs/2107.02849v1

    • [physics.flu-dyn]A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows
    T. S. Sachin Venkatesh, Rajat Srivastava, Pratyush Bhatt, Prince Tyagi, Raj Kumar Singh
    http://arxiv.org/abs/2107.03361v1

    • [q-bio.NC]Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
    Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
    http://arxiv.org/abs/2107.03220v1

    • [q-bio.QM]Mid infrared spectroscopy and milk quality traits: a data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
    Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Federico Ferraccioli, Elena Hayes, Georgiana Ifrim, Agnieszka Konkolewska, Thach Le Nguyen, Uche Mbaka, Giovanna Ranzato, Ashish Singh, Marco Stefanucci, Alessandro Casa
    http://arxiv.org/abs/2107.02906v1

    • [quant-ph]A Leap among Entanglement and Neural Networks: A Quantum Survey
    Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi
    http://arxiv.org/abs/2107.03313v1

    • [stat.AP]Assessing the forensic value of DNA evidence from Y chromosomes and mitogenomes
    Mikkel M Andersen, David J Balding
    http://arxiv.org/abs/2107.03289v1

    • [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
    Luka Grbčić, Siniša Družeta, Goran Mauša, Tomislav Lipić, Darija Vukić Lušić, Marta Alvir, Ivana Lučin, Ante Sikirica, Davor Davidović, Vanja Travaš, Daniela Kalafatović, Kristina Pikelj, Hana Fajković, Lado Kranjčević
    http://arxiv.org/abs/2107.03230v1

    • [stat.AP]Patient-reported outcomes in the context of the benefit assessment in Germany
    Sarah Böhme, Christoph Gerlinger, Susanne Huschens, Annett Kucka, Niclas Kürschner, Friedhelm Leverkus, Michael Schlichting, Waldemar Siemens, Kati Sternberg, Liping Hofmann-Xu
    http://arxiv.org/abs/2107.03249v1

    • [stat.ME]An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution
    Harsh Tripathi, Mahendra Saha
    http://arxiv.org/abs/2107.02903v1

    • [stat.ME]Non-Homogeneity Estimation and Universal Kriging on the Sphere
    Nicholas W. Bussberg, Jacob Shields, Chunfeng Huang
    http://arxiv.org/abs/2107.02871v1

    • [stat.ME]Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
    David Kepplinger
    http://arxiv.org/abs/2107.03325v1

    • [stat.ME]Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
    Sheng Dai
    http://arxiv.org/abs/2107.03119v1

    • [stat.ME]When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
    Mark Rubin
    http://arxiv.org/abs/2107.02947v1

    • [stat.ML]A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions
    Kaspar Thommen
    http://arxiv.org/abs/2107.03183v1

    • [stat.ML]An algorithmic view of 今日学术视野(2021.7.9) - 图4 regularization and some path-following algorithms
    Yunzhang Zhu, Renxiong Liu
    http://arxiv.org/abs/2107.03322v1

    • [stat.ML]Combined Global and Local Search for Optimization with Gaussian Process Models
    Qun Meng, Songhao Wang, Szu Hui Ng
    http://arxiv.org/abs/2107.03217v1

    • [stat.ML]MD-split+: Practical Local Conformal Inference in High Dimensions
    Benjamin LeRoy, David Zhao
    http://arxiv.org/abs/2107.03280v1

    • [stat.ML]Neural Contextual Bandits without Regret
    Parnian Kassraie, Andreas Krause
    http://arxiv.org/abs/2107.03144v1

    • [stat.ML]New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
    Gregor Kasieczka, Benjamin Nachman, David Shih
    http://arxiv.org/abs/2107.02821v1

    • [stat.ML]Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
    Dhruv V Patel, Deep Ray, Assad A Oberai
    http://arxiv.org/abs/2107.02926v1

    • [stat.ML]Test for non-negligible adverse shifts
    Vathy M. Kamulete
    http://arxiv.org/abs/2107.02990v1

    • [stat.ML]Transfer Learning in Information Criteria-based Feature Selection
    Shaohan Chen, Nikolaos V. Sahinidis, Chuanhou Gao
    http://arxiv.org/abs/2107.02847v1