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.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.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SY - 系统和控制
    math.CO - 组合数学
    math.DS - 动力系统
    math.NA - 数值分析
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    q-bio.GN - 基因组学
    q-bio.NC - 神经元与认知
    q-bio.QM - 定量方法
    q-fin.MF - 数学金融
    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]Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference
    • [cs.AI]Approximating Defeasible Logics to Improve Scalability
    • [cs.AI]Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
    • [cs.AI]Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
    • [cs.AI]Intelligence as information processing: brains, swarms, and computers
    • [cs.AI]Knowledge-Based Stable Roommates Problem: A Real-World Application
    • [cs.AI]Matching Algorithms for Blood Donation
    • [cs.AI]On the Explanatory Power of Decision Trees
    • [cs.AI]Snakes AI Competition 2020 and 2021 Report
    • [cs.AI]Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
    • [cs.AI]TrUMAn: Trope Understanding in Movies and Animations
    • [cs.AI]Trading Complexity for Sparsity in Random Forest Explanations
    • [cs.CL]A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
    • [cs.CL]A Transformer-based Math Language Model for Handwritten Math Expression Recognition
    • [cs.CL]DEMix Layers: Disentangling Domains for Modular Language Modeling
    • [cs.CL]DeliData: A dataset for deliberation in multi-party problem solving
    • [cs.CL]Icelandic Parallel Abstracts Corpus
    • [cs.CL]PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis
    • [cs.CL]Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
    • [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
    • [cs.CR]SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
    • [cs.CR]Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack
    • [cs.CV]A Better Loss for Visual-Textual Grounding
    • [cs.CV]A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
    • [cs.CV]An Image-based Generator Architecture for Synthetic Image Refinement
    • [cs.CV]AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
    • [cs.CV]Automatic Polyp Segmentation via Multi-scale Subtraction Network
    • [cs.CV]BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
    • [cs.CV]Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
    • [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
    • [cs.CV]Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
    • [cs.CV]ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
    • [cs.CV]Deep Learning Classification of Lake Zooplankton
    • [cs.CV]Discriminative Distillation to Reduce Class Confusion in Continual Learning
    • [cs.CV]Domain-Aware Universal Style Transfer
    • [cs.CV]Efficient Surfel Fusion Using Normalised Information Distance
    • [cs.CV]Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
    • [cs.CV]Exploiting Features with Split-and-Share Module
    • [cs.CV]FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
    • [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
    • [cs.CV]Few-Shot Segmentation with Global and Local Contrastive Learning
    • [cs.CV]First Order Locally Orderless Registration
    • [cs.CV]Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
    • [cs.CV]Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
    • [cs.CV]How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
    • [cs.CV]Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
    • [cs.CV]Instance-weighted Central Similarity for Multi-label Image Retrieval
    • [cs.CV]Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
    • [cs.CV]Interpreting Generative Adversarial Networks for Interactive Image Generation
    • [cs.CV]Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
    • [cs.CV]Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
    • [cs.CV]Learning Fair Face Representation With Progressive Cross Transformer
    • [cs.CV]Learning Oculomotor Behaviors from Scanpath
    • [cs.CV]Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
    • [cs.CV]M3D-VTON: A Monocular-to-3D Virtual Try-On Network
    • [cs.CV]Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
    • [cs.CV]MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
    • [cs.CV]Method Towards CVPR 2021 Image Matching Challenge
    • [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
    • [cs.CV]Mining the Benefits of Two-stage and One-stage HOI Detection
    • [cs.CV]Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
    • [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
    • [cs.CV]Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
    • [cs.CV]MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach
    • [cs.CV]Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
    • [cs.CV]NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
    • [cs.CV]On the Effect of Pruning on Adversarial Robustness
    • [cs.CV]Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
    • [cs.CV]Person Re-identification via Attention Pyramid
    • [cs.CV]ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study
    • [cs.CV]Prototype Completion for Few-Shot Learning
    • [cs.CV]Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
    • [cs.CV]Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
    • [cs.CV]Rethinking Coarse-to-Fine Approach in Single Image Deblurring
    • [cs.CV]Semi-Supervised Domain Generalizable Person Re-Identification
    • [cs.CV]Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
    • [cs.CV]Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
    • [cs.CV]Towards Interpretable Deep Networks for Monocular Depth Estimation
    • [cs.CV]Towards Top-Down Just Noticeable Difference Estimation of Natural Images
    • [cs.CV]Two is a crowd: tracking relations in videos
    • [cs.CV]Video Transformer for Deepfake Detection with Incremental Learning
    • [cs.CV]VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
    • [cs.CV]Zero-Shot Domain Adaptation with a Physics Prior
    • [cs.CY]An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements
    • [cs.CY]Decentralised Trust for the Digital Economy
    • [cs.DB]PLEX: Towards Practical Learned Indexing
    • [cs.DB]Parallel algorithms for mining of frequent itemsets
    • [cs.DC]A Limitlessly Scalable Transaction System
    • [cs.DS]Statistical Inference in the Differential Privacy Model
    • [cs.GR]Differentiable Surface Rendering via Non-Differentiable Sampling
    • [cs.GT]Composing games into complex institutions
    • [cs.IR]Are Neural Ranking Models Robust?
    • [cs.IR]Deep Pairwise Learning To Rank For Search Autocomplete
    • [cs.IR]Estimation of Fair Ranking Metrics with Incomplete Judgments
    • [cs.IR]FedMatch: Federated Learning Over Heterogeneous Question Answering Data
    • [cs.IR]Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
    • [cs.IR]Overview of the TREC 2020 Fair Ranking Track
    • [cs.IR]Retrieval & Interaction Machine for Tabular Data Prediction
    • [cs.IR]ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
    • [cs.IT]Group LCD and Group Reversible LCD Codes
    • [cs.IT]Shannon capacity, Chess, DNA and Umbrellas
    • [cs.IT]Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions
    • [cs.IT]Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks
    • [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
    • [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
    • [cs.LG]Adaptive Multi-Resolution Attention with Linear Complexity
    • [cs.LG]Analysis of ODE2VAE with Examples
    • [cs.LG]Attention-like feature explanation for tabular data
    • [cs.LG]Causal Order Identification to Address Confounding: Binary Variables
    • [cs.LG]Cooperative Learning for Noisy Supervision
    • [cs.LG]Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques
    • [cs.LG]EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
    • [cs.LG]Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
    • [cs.LG]Fairness Through Counterfactual Utilities
    • [cs.LG]Flow-based SVDD for anomaly detection
    • [cs.LG]Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
    • [cs.LG]LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
    • [cs.LG]Logic Explained Networks
    • [cs.LG]Machine Learning Model Drift Detection Via Weak Data Slices
    • [cs.LG]Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
    • [cs.LG]Putting RDF2vec in Order
    • [cs.LG]Retiring Adult: New Datasets for Fair Machine Learning
    • [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
    • [cs.LG]Towards data-driven filters in Paraview
    • [cs.LG]Truncated Emphatic Temporal Difference Methods for Prediction and Control
    • [cs.LG]Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
    • [cs.NE]Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation
    • [cs.RO]An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control
    • [cs.RO]AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
    • [cs.RO]Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
    • [cs.RO]DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
    • [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
    • [cs.RO]Estimation and Navigation Methods with Limited Information for Autonomous Urban Driving
    • [cs.RO]Mathematical modelling and virtual decomposition control of heavy-duty parallel今日学术视野(2021.8.13) - 图1serial hydraulic manipulators
    • [cs.RO]Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles
    • [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct During Physical Human-Robot Interactions
    • [cs.RO]Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
    • [cs.RO]Road Mapping and Localization using Sparse Semantic Visual Features
    • [cs.SD]Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
    • [cs.SD]Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
    • [cs.SD]Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
    • [cs.SE]Natural Language-guided Programming
    • [cs.SE]The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
    • [cs.SI]Effect of Key Match Events on Football Passmaps
    • [cs.SI]Self-supervised Consensus Representation Learning for Attributed Graph
    • [eess.IV]One-Sided Box Filter for Edge Preserving Image Smoothing
    • [eess.SY]Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?
    • [eess.SY]Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics
    • [math.CO]Classification of 今日学术视野(2021.8.13) - 图2 arcs in 今日学术视野(2021.8.13) - 图3#card=math&code=%5Coperatorname%7BPG%7D%283%2C5%29&id=sRg8m)
    • [math.DS]Learning strange attractors with reservoir systems
    • [math.NA]Convergence bounds for nonlinear least squares and applications to tensor recovery
    • [math.PR]Best lower bound on the probability of a binomial exceeding its expectation
    • [math.ST]Dispersal density estimation across scales
    • [math.ST]Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
    • [math.ST]Minimax and pointwise sequential changepoint detection and identification for general stochastic models
    • [math.ST]Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
    • [math.ST]Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces
    • [physics.chem-ph]Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
    • [q-bio.GN]Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
    • [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
    • [q-bio.QM]A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
    • [q-fin.MF]Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders
    • [quant-ph]Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
    • [quant-ph]Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
    • [stat.AP]A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions
    • [stat.AP]Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles
    • [stat.AP]The Effect of Autocorrelation on the Shewhart-RZ Control Chart
    • [stat.ME]Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
    • [stat.ME]Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality
    • [stat.ME]Bayesian functional graphical models
    • [stat.ME]Bayesian local exchangeability design for phase II basket trials
    • [stat.ME]Controlling the False Split Rate in Tree-Based Aggregation
    • [stat.ME]Design-based composite estimation rediscovered
    • [stat.ME]Estimating Causal Effects of Non-Randomized HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs
    • [stat.ME]Heywood cases in unidimensional factor models and item response models for binary data
    • [stat.ME]Multiway empirical likelihood
    • [stat.ME]On the Distinction Between “Conditional Average Treatment Effects” (CATE) and “Individual Treatment Effects” (ITE) Under Ignorability Assumptions
    • [stat.ME]Rank Energy Statistics in the Context of Change Point Detection
    • [stat.ME]Robust posterior inference for Youden’s index cutoff
    • [stat.ML]Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction
    • [stat.ML]Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay

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

    • [cs.AI]Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference
    Zijian Zhang, Chenxi Zhang, Qinpei Zhao, Jiangfeng Li
    http://arxiv.org/abs/2108.05123v1

    • [cs.AI]Approximating Defeasible Logics to Improve Scalability
    Michael J. Maher
    http://arxiv.org/abs/2108.05232v1

    • [cs.AI]Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
    Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
    http://arxiv.org/abs/2108.05278v1

    • [cs.AI]Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
    Wen-ming Zhang, Zhi-wei Wang, Dan-dian Feng, Zhao Liu
    http://arxiv.org/abs/2108.05020v1

    • [cs.AI]Intelligence as information processing: brains, swarms, and computers
    Carlos Gershenson
    http://arxiv.org/abs/2108.05349v1

    • [cs.AI]Knowledge-Based Stable Roommates Problem: A Real-World Application
    Muge Fidan, Esra Erdem
    http://arxiv.org/abs/2108.04940v1

    • [cs.AI]Matching Algorithms for Blood Donation
    Duncan C McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Sankararaman, Zack Chauvin, Neil Dexter, John P Dickerson
    http://arxiv.org/abs/2108.04862v1

    • [cs.AI]On the Explanatory Power of Decision Trees
    Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
    http://arxiv.org/abs/2108.05266v1

    • [cs.AI]Snakes AI Competition 2020 and 2021 Report
    Joseph Alexander Brown, Luiz Jonata Pires de Araujo, Alexandr Grichshenko
    http://arxiv.org/abs/rg/abs/2108.05136v1

    • [cs.AI]Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
    Ahmet Alkan, Baturay Yilmaz, Berkan Teber, Esra Erdem, Ilayda Begum Izci, Muge Fidan, Selin Eyupoglu, Yavuz Gulesen
    http://arxiv.org/abs/2108.05165v1

    • [cs.AI]TrUMAn: Trope Understanding in Movies and Animations
    Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu
    http://arxiv.org/abs/2108.04542v2

    • [cs.AI]Trading Complexity for Sparsity in Random Forest Explanations
    Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
    http://arxiv.org/abs/2108.05276v1

    • [cs.CL]A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
    Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
    http://arxiv.org/abs/2108.04949v1

    • [cs.CL]A Transformer-based Math Language Model for Handwritten Math Expression Recognition
    Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa
    http://arxiv.org/abs/2108.05002v1

    • [cs.CL]DEMix Layers: Disentangling Domains for Modular Language Modeling
    Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
    http://arxiv.org/abs/2108.05036v1

    • [cs.CL]DeliData: A dataset for deliberation in multi-party problem solving
    Georgi Karadzhov, Tom Stafford, Andreas Vlachos
    http://arxiv.org/abs/2108.05271v1

    • [cs.CL]Icelandic Parallel Abstracts Corpus
    Haukur Barri Símonarson, Vésteinn Snæbjarnarson
    http://arxiv.org/abs/2108.05289v1

    • [cs.CL]PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis
    Zijian Zhang, Chenxin Zhang, Qin Liu, Hongming Zhu, Jiangfeng Li
    http://arxiv.org/abs/2108.05098v1

    • [cs.CL]Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
    Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
    http://arxiv.org/abs/2108.04990v1

    • [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
    Andreas Madsen, Siva Reddy, Sarath Chandar
    http://arxiv.org/abs/2108.04840v1

    • [cs.CR]SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
    Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum
    http://arxiv.org/abs/2108.04974v1

    • [cs.CR]Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack
    Zitao Chen, Pritam Dash, Karthik Pattabiraman
    http://arxiv.org/abs/2108.05075v1

    • [cs.CV]A Better Loss for Visual-Textual Grounding
    Davide Rigoni, Luciano Serafini, Alessandro Sperduti
    http://arxiv.org/abs/2108.05308v1

    • [cs.CV]A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
    Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool
    http://arxiv.org/abs/2108.05246v1

    • [cs.CV]An Image-based Generator Architecture for Synthetic Image Refinement
    Alex Nasser
    http://arxiv.org/abs/2108.04957v1

    • [cs.CV]AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
    Xinsheng Wang, Qicong Xie, Jihua Zhu, Lei Xie, Scharenborg
    http://arxiv.org/abs/2108.04325v2

    • [cs.CV]Automatic Polyp Segmentation via Multi-scale Subtraction Network
    Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
    http://arxiv.org/abs/2108.05082v1

    • [cs.CV]BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
    Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C. -C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang
    http://arxiv.org/abs/2108.04938v1

    • [cs.CV]Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
    Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu
    http://arxiv.org/abs/2108.05028v1

    • [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
    Youngsaeng Jin, David Han, Hanseok Ko
    http://arxiv.org/abs/2108.04454v2

    • [cs.CV]Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
    Kaiyi Chen, Qingbin Wang, Yutao Ma
    http://arxiv.org/abs/2108.05081v1

    • [cs.CV]ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
    Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
    http://arxiv.org/abs/2108.05305v1

    • [cs.CV]Deep Learning Classification of Lake Zooplankton
    S. P. Kyathanahally, T. Hardeman, E. Merz, T. Kozakiewicz, M. Reyes, P. Isles, F. Pomati, M. Baity-Jesi
    http://arxiv.org/abs/2108.05258v1

    • [cs.CV]Discriminative Distillation to Reduce Class Confusion in Continual Learning
    Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng
    http://arxiv.org/abs/2108.05187v1

    • [cs.CV]Domain-Aware Universal Style Transfer
    Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun
    http://arxiv.org/abs/2108.04441v2

    • [cs.CV]Efficient Surfel Fusion Using Normalised Information Distance
    Louis Gallagher, John B. McDonald
    http://arxiv.org/abs/2108.05163v1

    • [cs.CV]Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
    Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav Sukhatme
    http://arxiv.org/abs/2108.04927v1

    • [cs.CV]Exploiting Features with Split-and-Share Module
    Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi
    http://arxiv.org/abs/2108.04500v2

    • [cs.CV]FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
    ShahRukh Athar, Zhixin Shu, Dimitris Samaras
    http://arxiv.org/abs/2108.04913v1

    • [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
    Hasam Khalid, Shahroz Tariq, Simon S. Woo
    http://arxiv.org/abs/2108.05080v1

    • [cs.CV]Few-Shot Segmentation with Global and Local Contrastive Learning
    Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
    http://arxiv.org/abs/2108.05293v1

    • [cs.CV]First Order Locally Orderless Registration
    Sune Darkner, Jose D Tascon, Francois Lauze
    http://arxiv.org/abs/2108.04926v1

    • [cs.CV]Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
    Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2108.05249v1

    • [cs.CV]Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
    Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2108.05301v1

    • [cs.CV]How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
    Mahdi pourmirzaei, gholam ali montazer, farzaneh esmaili
    http://arxiv.org/abs/2108.04893v1

    • [cs.CV]Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
    Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown
    http://arxiv.org/abs/2108.05251v1

    • [cs.CV]Instance-weighted Central Similarity for Multi-label Image Retrieval
    Zhiwei Zhang, Hanyu Peng, Hongsheng Li
    http://arxiv.org/abs/2108.05274v1

    • [cs.CV]Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
    Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li
    http://arxiv.org/abs/2108.04547v2

    • [cs.CV]Interpreting Generative Adversarial Networks for Interactive Image Generation
    Bolei Zhou
    http://arxiv.org/abs/2108.04896v1

    • [cs.CV]Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
    Pilhyeon Lee, Hyeran Byun
    http://arxiv.org/abs/2108.05029v1

    • [cs.CV]Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
    Yikai Wang, Fuchun Sun, Ming Lu, Anbang Yao
    http://arxiv.org/abs/2108.05009v1

    • [cs.CV]Learning Fair Face Representation With Progressive Cross Transformer
    Yong Li, Yufei Sun, Zhen Cui, Shiguang Shan, Jian Yang
    http://arxiv.org/abs/2108.04983v1

    • [cs.CV]Learning Oculomotor Behaviors from Scanpath
    Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda Shapiro, Frederick Shic
    http://arxiv.org/abs/2108.05025v1

    • [cs.CV]Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
    Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
    http://arxiv.org/abs/2108.05269v1

    • [cs.CV]M3D-VTON: A Monocular-to-3D Virtual Try-On Network
    Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
    http://arxiv.org/abs/2108.05126v1

    • [cs.CV]Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
    Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui
    http://arxiv.org/abs/2108.05067v1

    • [cs.CV]MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
    Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
    http://arxiv.org/abs/2108.04869v1

    • [cs.CV]Method Towards CVPR 2021 Image Matching Challenge
    Xiaopeng Bi, Yu Chen, Xinyang Liu, Dehao Zhang, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
    http://arxiv.org/abs/2108.04453v2

    • [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
    Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
    http://arxiv.org/abs/2108.04466v2

    • [cs.CV]Mining the Benefits of Two-stage and One-stage HOI Detection
    Aixi Zhang, Yue Liao, Si Liu, Miao Lu, Yongliang Wang, Chen Gao, Xiaobo Li
    http://arxiv.org/abs/2108.05077v1

    • [cs.CV]Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
    Donggeon Lee, Seongho Choi, Youwon Jang, Byoung-Tak Zhang
    http://arxiv.org/abs/2108.05158v1

    • [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
    Olly Styles, Tanaya Guha, Victor Sanchez
    http://arxiv.org/abs/2
    61a0
    108.04694v1
    61a0
    108.04694v1)

    • [cs.CV]Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
    Xiaoqi Zhao, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu
    http://arxiv.org/abs/2108.05076v1

    • [cs.CV]MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach
    Falk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider
    http://arxiv.org/abs/2108.05060v1

    • [cs.CV]Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
    Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2108.05302v1

    • [cs.CV]NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
    Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong
    http://arxiv.org/abs/2108.05061v1

    • [cs.CV]On the Effect of Pruning on Adversarial Robustness
    Artur Jordao, Helio Pedrini
    http://arxiv.org/abs/2108.04890v1

    • [cs.CV]Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
    Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
    http://arxiv.org/abs/2108.04914v1

    • [cs.CV]Person Re-identification via Attention Pyramid
    Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, Jie Zhou
    http://arxiv.org/abs/2108.05340v1

    • [cs.CV]ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study
    Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider
    http://arxiv.org/abs/2108.05170v1

    • [cs.CV]Prototype Completion for Few-Shot Learning
    Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng
    http://arxiv.org/abs/2108.05010v1

    • [cs.CV]Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
    Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli
    http://arxiv.org/abs/2108.04603v1

    • [cs.CV]Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
    Aidan M. Swope, Xander H. Rudelis, Kyle T. Story
    http://arxiv.org/abs/2108.05094v1

    • [cs.CV]Rethinking Coarse-to-Fine Approach in Single Image Deblurring
    Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko
    http://arxiv.org/abs/2108.05054v1

    • [cs.CV]Semi-Supervised Domain Generalizable Person Re-Identification
    Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei
    http://arxiv.org/abs/2108.05045v1

    • [cs.CV]Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
    Kazuki Koga, Kazuhiro Takemoto
    http://arxiv.org/abs/2108.04979v1

    • [cs.CV]Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
    Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni
    http://arxiv.org/abs/2108.05055v1

    • [cs.CV]Towards Interpretable Deep Networks for Monocular Depth Estimation
    Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li
    http://arxiv.org/abs/2108.05312v1

    • [cs.CV]Towards Top-Down Just Noticeable Difference Estimation of Natural Images
    Qiuping Jiang, Zhentao Liu, Shiqi Wang, Feng Shao, Weisi Lin
    http://arxiv.org/abs/2108.05058v1

    • [cs.CV]Two is a crowd: tracking relations in videos
    Artem Moskalev, Ivan Sosnovik, Arnold Smeulders
    http://arxiv.org/abs/2108.05331v1

    • [cs.CV]Video Transformer for Deepfake Detection with Incremental Learning
    Sohail A. Khan, Hang Dai
    http://arxiv.org/abs/2108.05307v1

    • [cs.CV]VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
    Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
    http://arxiv.org/abs/2108.05015v1

    • [cs.CV]Zero-Shot Domain Adaptation with a Physics Prior
    Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert
    http://arxiv.org/abs/2108.05137v1

    • [cs.CY]An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements
    Amit Verma, Pratibha Purohit, Timothy Thornton, Kamal Lamsal
    http://arxiv.org/abs/2108.04946v1

    • [cs.CY]Decentralised Trust for the Digital Economy
    Geoffrey Goodell
    http://arxiv.org/abs/2108.04960v1

    • [cs.DB]PLEX: Towards Practical Learned Indexing
    Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska
    http://arxiv.org/abs/2108.05117v1

    • [cs.DB]Parallel algorithms for mining of frequent itemsets
    Robert Kessl
    http://arxiv.org/abs/2108.05038v1

    • [cs.DC]A Limitlessly Scalable Transaction System
    Max Mathys, Roland Schmid, Jakub Sliwinski, Roger Wattenhofer
    http://arxiv.org/abs/2108.05236v1

    • [cs.DS]Statistical Inference in the Differential Privacy Model
    Huanyu Zhang
    http://arxiv.org/abs/2108.05000v1

    • [cs.GR]Differentiable Surface Rendering via Non-Differentiable Sampling
    Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang
    http://arxiv.org/abs/2108.04886v1

    • [cs.GT]Composing games into complex institutions
    Seth Frey, Jules Hedges, Joshua Tan, Philipp Zahn
    http://arxiv.org/abs/2108.05318v1

    • [cs.IR]Are Neural Ranking Models Robust?
    Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
    http://arxiv.org/abs/2108.05018v1

    • [cs.IR]Deep Pairwise Learning To Rank For Search Autocomplete
    Kai Yuan, Da Kuang
    http://arxiv.org/abs/2108.04976v1

    • [cs.IR]Estimation of Fair Ranking Metrics with Incomplete Judgments
    Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette, Emine Yılmaz
    http://arxiv.org/abs/2108.05152v1

    • [cs.IR]FedMatch: Federated Learning Over Heterogeneous Question Answering Data
    Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
    http://arxiv.org/abs/2108.05069v1

    • [cs.IR]Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
    Qingyao Ai, Lakshmi Narayanan Ramasamy
    http://arxiv.org/abs/2108.05317v1

    • [cs.IR]Overview of the TREC 2020 Fair Ranking Track
    Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier
    http://arxiv.org/abs/2108.05135v1

    • [cs.IR]Retrieval & Interaction Machine for Tabular Data Prediction
    Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
    http://arxiv.org/abs/2108.05252v1

    • [cs.IR]ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
    Anh Tran, Tao Yang, Qingyao Ai
    http://arxiv.org/abs/2108.05073v1

    • [cs.IT]Group LCD and Group Reversible LCD Codes
    Steven T. Dougherty, Joe Gildea, Adrian Korban, Adam M. Roberts
    http://arxiv.org/abs/2108.05056v1

    • [cs.IT]Shannon capacity, Chess, DNA and Umbrellas
    Oliver Knill
    http://arxiv.org/abs/2108.04994v1

    • [cs.IT]Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions
    Ertan Kazıklı, Sinan Gezici, Serdar Yüksel
    http://arxiv.org/abs/2108.05240v1

    • [cs.IT]Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks
    Taniya Shafique, Hina Tabassum, Ekram Hossain
    http://arxiv.org/abs/2108.04918v1

    • [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
    Hyejun Jeong, Joonyong Hwang, Tai Myung Chung
    http://arxiv.org/abs/2108.04551v2

    • [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
    Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang
    http://arxiv.org/abs/2108.04443v2

    • [cs.LG]Adaptive Multi-Resolution Attention with Linear Complexity
    Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
    http://arxiv.org/abs/2108.04962v1

    • [cs.LG]Analysis of ODE2VAE with Examples
    Batuhan Koyuncu
    http://arxiv.org/abs/2108.04899v1

    • [cs.LG]Attention-like feature explanation for tabular data
    Andrei V. Konstantinov, Lev V. Utkin
    http://arxiv.org/abs/2108.04855v1

    • [cs.LG]Causal Order Identification to Address Confounding: Binary Variables
    Joe Suzuki, Yusuke Inaoka
    http://arxiv.org/abs/2108.04947v1

    • [cs.LG]Cooperative Learning for Noisy Supervision
    Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
    http://arxiv.org/abs/2108.05092v1

    • [cs.LG]Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques
    Arnav Bhakta, Carolyn Byrne
    http://arxiv.org/abs/2108.04972v1

    • [cs.LG]EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
    Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
    http://arxiv.org/abs/2108.05233v1

    • [cs.LG]Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
    Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
    http://arxiv.org/abs/2108.05335v1

    • [cs.LG]Fairness Through Counterfactual Utilities
    Jack Blandin, Ian Kash
    http://arxiv.org/abs/2108.05315v1

    • [cs.LG]Flow-based SVDD for anomaly detection
    Marcin Sendera, Marek Śmieja, Łukasz Maziarka, Łukasz Struski, Przemysław Spurek, Jacek Tabor
    http://arxiv.org/abs/2108.04907v1

    • [cs.LG]Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
    Xin Zhou, Yang Li
    http://arxiv.org/abs/2108.05342v1

    • [cs.LG]LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
    Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song
    http://arxiv.org/abs/2108.04993v1

    • [cs.LG]Logic Explained Networks
    Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
    http://arxiv.org/abs/2108.05149v1

    • [cs.LG]Machine Learning Model Drift Detection Via Weak Data Slices
    Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici
    http://arxiv.org/abs/2108.05319v1

    • [cs.LG]Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
    Laurel Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
    http://arxiv.org/abs/2108.05053v1

    • [cs.LG]Putting RDF2vec in Order
    Jan Portisch, Heiko Paulheim
    http://arxiv.org/abs/2108.05280v1

    • [cs.LG]Retiring Adult: New Datasets for Fair Machine Learning
    Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
    http://arxiv.org/abs/2108.04884v1

    • [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
    Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Kohler
    http://arxiv.org/abs/2108.03952v2

    • [cs.LG]Towards data-driven filters in Paraview
    Drishti Majarjan, Peter Zaspel
    http://arxiv.org/abs/2108.05196v1

    • [cs.LG]Truncated Emphatic Temporal Difference Methods for Prediction and Control
    Shangtong Zhang, Shimon Whiteson
    http://arxiv.org/abs/2108.05338v1

    • [cs.LG]Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
    Young Ah Choi, Kyung Ho Park, Eunji Park, Huy Kang Kim
    http://arxiv.org/abs/2108.05079v1

    • [cs.NE]Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation
    Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2108.05005v1

    • [cs.RO]An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control
    Dmitrii Dobriborsci, Ksenia Makarova, Aleksandr Rubashevskii, Pavel Osinenko
    http://arxiv.org/abs/2108.04857v1

    • [cs.RO]AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
    Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry Jackel, Richard Howard, Daniel Lee
    http://arxiv.org/abs/2108.04867v1

    • [cs.RO]Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
    Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei
    http://arxiv.org/abs/2108.05118v1

    • [cs.RO]DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
    Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu
    http://arxiv.org/abs/2108.05030v1

    • [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
    Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
    http://arxiv.org/abs/2108.05013v1

    • [cs.RO]Estimation and Navigation Methods with Limited Information for Autonomous Urban Driving
    Jordan Chipka
    http://arxiv.org/abs/2108.05218v1

    • [cs.RO]Mathematical modelling and virtual decomposition control of heavy-duty parallel今日学术视野(2021.8.13) - 图4serial hydraulic manipulators
    Goran R. Petrović, Jouni Mattila
    http://arxiv.org/abs/2108.05322v1

    • [cs.RO]Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles
    Eduardo Gallo, Antonio Barrientos
    http://arxiv.org/abs/2108.05188v1

    • [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct During Physical Human-Robot Interactions
    Peng Wang, Jixiao Liu, Funing Hou, Dicai Chen, Zihou Xia, Shijie Guo
    http://arxiv.org/abs/2108.03779v2

    • [cs.RO]Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
    Zain Alabedeen Ali, Konstantin Yakovlev
    http://arxiv.org/abs/2108.05145v1

    • [cs.RO]Road Mapping and Localization using Sparse Semantic Visual Features
    Wentao Cheng, Sheng Yang, Maomin Zhou, Ziyuan Liu, Yiming Chen, Mingyang Li
    http://arxiv.org/abs/2108.05047v1

    • [cs.SD]Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
    Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma
    http://arxiv.org/abs/2108.04906v1

    • [cs.SD]Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
    Yuzhong Wu, Tan Lee
    http://arxiv.org/abs/2108.05008v1

    • [cs.SD]Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
    Chin-Jui Chang, Chun-Yi Lee, Yi-Hsuan Yang
    http://arxiv.org/abs/2108.05064v1

    • [cs.SE]Natural Language-guided Programming
    Geert Heyman, Rafael Huysegems, Pascal Justen, Tom Van Cutsem
    http://arxiv.org/abs/2108.05198v1

    • [cs.SE]The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
    Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy
    http://arxiv.org/abs/2108.05341v1

    • [cs.SI]Effect of Key Match Events on Football Passmaps
    Vid Stropnik, Vuk Đuranović, Maruša Oražem
    http://arxiv.org/abs/2108.05343v1

    • [cs.SI]Self-supervised Consensus Representation Learning for Attributed Graph
    Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
    http://arxiv.org/abs/2108.04822v1

    • [eess.IV]One-Sided Box Filter for Edge Preserving Image Smoothing
    Yuanhao Gong
    http://arxiv.org/abs/2108.05021v1

    • [eess.SY]Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?
    Zhaoming Qin, Huaying Zhang, Yuzhou Zhao, Hong Xie, Junwei Cao
    http://arxiv.org/abs/2108.05099v1

    • [eess.SY]Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics
    Tyler Paine, Louis Whitcomb
    http://arxiv.org/abs/2108.05297v1

    • [math.CO]Classification of 今日学术视野(2021.8.13) - 图5 arcs in 今日学术视野(2021.8.13) - 图6#card=math&code=%5Coperatorname%7BPG%7D%283%2C5%29&id=Rqjjb)
    Sascha Kurz, Ivan Landjev, Assia Rousseva
    http://arxiv.org/abs/2108.04871v1

    • [math.DS]Learning strange attractors with reservoir systems
    Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
    http://arxiv.org/abs/2108.05024v1

    • [math.NA]Convergence bounds for nonlinear least squares and applications to tensor recovery
    Philipp Trunschke
    http://arxiv.org/abs/2108.05237v1

    • [math.PR]Best lower bound on the probability of a binomial exceeding its expectation
    Iosif Pinelis
    http://arxiv.org/abs/2108.04916v1

    • [math.ST]Dispersal density estimation across scales
    Marc Hoffmann, Mathias Trabs
    http://arxiv.org/abs/2108.05279v1

    • [math.ST]Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
    Jackson P. Lautier, Vladimir Pozdnyakov, Jun Yan
    http://arxiv.org/abs/2108.04854v1

    • [math.ST]Minimax and pointwise sequential changepoint detection and identification for general stochastic models
    Serguei Pergamenchtchikov, Alexander Tartakovsky, Valentin Spivak
    http://arxiv.org/abs/2108.05086v1

    • [math.ST]Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
    Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, T. J. Sullivan
    http://arxiv.org/abs/2108.04597v2

    • [math.ST]Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces
    Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, T. J. Sullivan
    http://arxiv.org/abs/2108.04598v2

    • [physics.chem-ph]Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
    Simon Axelrod, Eugene Shakhnovich, Rafael Gómez-Bombarelli
    http://arxiv.org/abs/2108.04879v1

    • [q-bio.GN]Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
    Anastasia Dunca, Frederick R. Adler
    http://arxiv.org/abs/2108.05039v1

    • [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
    James V Stone
    http://arxiv.org/abs/2108.04936v1

    • [q-bio.QM]A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
    Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, Elham Yavari
    http://arxiv.org/abs/2108.04951v1

    • [q-fin.MF]Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders
    Brian Ning, Sebastian Jaimungal, Xiaorong Zhang, Maxime Bergeron
    http://arxiv.org/abs/2108.04941v1

    • [quant-ph]Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
    Jeongwan Haah, Robin Kothari, Ewin Tang
    http://arxiv.org/abs/2108.04842v1

    • [quant-ph]Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
    Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
    http://arxiv.org/abs/2108.03190v2

    • [stat.AP]A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions
    Fabian Dablander, Karoline Huth, Quentin F. Gronau, Alexander Etz, Eric-Jan Wagenmakers
    http://arxiv.org/abs/2108.04909v1

    • [stat.AP]Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles
    Claus Weihs, Sarah Buschfeld
    http://arxiv.org/abs/2108.05129v1

    • [stat.AP]The Effect of Autocorrelation on the Shewhart-RZ Control Chart
    H. D. Nguyen, A. Ahmadi Nadi, K. P. Tran, P. Castagliola, G. Celano, K. D. Tran
    http://arxiv.org/abs/2108.05239v1

    • [stat.ME]Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
    Samidha Shetty, Yanyuan Ma, Jiwei Zhao
    http://arxiv.org/abs/2108.04966v1

    • [stat.ME]Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality
    Maoran Xu, Hua Zhou, Yujie Hu, Leo L. Duan
    http://arxiv.org/abs/2108.04851v1

    • [stat.ME]Bayesian functional graphical models
    Lin Zhang, Veera Baladandayuthapani, Quinton Neville, Karina Quevedo, Jeffrey S. Morris
    http://arxiv.org/abs/2108.05034v1

    • [stat.ME]Bayesian local exchangeability design for phase II basket trials
    Yilin Liu, Michael Kane, Denise Esserman, Daniel Zelterman, Wei Wei
    http://arxiv.org/abs/2108.05127v1

    • [stat.ME]Controlling the False Split Rate in Tree-Based Aggregation
    Simeng Shao, Jacob Bien, Adel Javanmard
    http://arxiv.org/abs/2108.05350v1

    • [stat.ME]Design-based composite estimation rediscovered
    Andrius Čiginas
    http://arxiv.org/abs/2108.05052v1

    • [stat.ME]Estimating Causal Effects of Non-Randomized HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs
    TingFang Lee, Ashley L. Buchanan, Natallia V. Katenka, Laura Forastiere, M. Elizabeth Halloran, Samuel R. Friedman, Georgios Nikolopoulos
    http://arxiv.org/abs/2108.04865v1

    • [stat.ME]Heywood cases in unidimensional factor models and item response models for binary data
    Selena Wang, Paul De Boeck, Marcel Yotebieng
    http://arxiv.org/abs/2108.04925v1

    • [stat.ME]Multiway empirical likelihood
    Harold D Chiang, Yukitoshi Matsushita, Taisuke Otsu
    http://arxiv.org/abs/2108.04852v1

    • [stat.ME]On the Distinction Between “Conditional Average Treatment Effects” (CATE) and “Individual Treatment Effects” (ITE) Under Ignorability Assumptions
    Brian G. Vegetabile
    http://arxiv.org/abs/2108.04939v1

    • [stat.ME]Rank Energy Statistics in the Context of Change Point Detection
    Amanda Ng
    http://arxiv.org/abs/2108.04903v1

    • [stat.ME]Robust posterior inference for Youden’s index cutoff
    Nicholas Syring
    http://arxiv.org/abs/2108.04898v1

    • [stat.ML]Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction
    Christian Brownlees, Jordi Llorens-Terrazas
    http://arxiv.org/abs/2108.05184v1

    • [stat.ML]Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay
    Jihao Long, Lei Wu
    http://arxiv.org/abs/2108.04964v1