astro-ph.EP - 地球与行星天体
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DM - 离散数学
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    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.SP - 信号处理
    hep-ph - 高能物理现象学
    math.NA - 数值分析
    math.ST - 统计理论
    physics.ins-det - 仪器和探测器
    physics.soc-ph - 物理学与社会
    quant-ph - 量子物理
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.EP]A novel approach to asteroid impact monitoring and hazard assessment
    • [cs.AI]Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
    • [cs.AI]Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
    • [cs.AI]Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints
    • [cs.AI]Reasoning on Multi-Relational Contextual Hierarchies via Answer Set Programming with Algebraic Measures
    • [cs.AI]Towards a Semantics for Hybrid ASP systems
    • [cs.AI]Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs
    • [cs.CL]Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
    • [cs.CL]Cross-lingual Capsule Network for Hate Speech Detection in Social Media
    • [cs.CL]Deriving Disinformation Insights from Geolocalized Twitter Callouts
    • [cs.CL]Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
    • [cs.CL]Evolution of emotion semantics
    • [cs.CL]GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
    • [cs.CL]Hate Speech Detection in Roman Urdu
    • [cs.CL]Is it Fake? News Disinformation Detection on South African News Websites
    • [cs.CL]LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
    • [cs.CL]Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents
    • [cs.CL]SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection
    • [cs.CL]Sentence Semantic Regression for Text Generation
    • [cs.CL]Tell me a story about yourself: The words of shopping experience and self-satisfaction
    • [cs.CR]When Googling it doesn’t work: The challenge of finding security advice for smart home devices
    • [cs.CV]3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
    • [cs.CV]A Data Augmented Approach to Transfer Learning for Covid-19 Detection
    • [cs.CV]AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
    • [cs.CV]AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
    • [cs.CV]Adapting Segmentation Networks to New Domains by Disentangling Latent Representations
    • [cs.CV]Basis Scaling and Double Pruning for Efficient Transfer Learning
    • [cs.CV]Bird’s-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
    • [cs.CV]Contrastive Learning for View Classification of Echocardiograms
    • [cs.CV]DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
    • [cs.CV]Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
    • [cs.CV]Detailed Avatar Recovery from Single Image
    • [cs.CV]Disentangled Lifespan Face Synthesis
    • [cs.CV]Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
    • [cs.CV]ELSED: Enhanced Line SEgment Drawing
    • [cs.CV]Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images
    • [cs.CV]Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles
    • [cs.CV]Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
    • [cs.CV]Feature Detection for Hand Hygiene Stages
    • [cs.CV]Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
    • [cs.CV]Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
    • [cs.CV]From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
    • [cs.CV]Full-Duplex Strategy for Video Object Segmentation
    • [cs.CV]GLASS: Geometric Latent Augmentation for Shape Spaces
    • [cs.CV]High-frequency shape recovery from shading by CNN and domain adaptation
    • [cs.CV]ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
    • [cs.CV]Improving Contrastive Learning by Visualizing Feature Transformation
    • [cs.CV]Interpretable Visual Understanding with Cognitive Attention Network
    • [cs.CV]Learning Meta-class Memory for Few-Shot Semantic Segmentation
    • [cs.CV]Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia
    • [cs.CV]MmWave Radar and Vision Fusion based Object Detection for Autonomous Driving: A Survey
    • [cs.CV]Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach
    • [cs.CV]Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
    • [cs.CV]SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
    • [cs.CV]STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing
    • [cs.CV]Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
    • [cs.CV]Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization
    • [cs.CV]Source-Free Domain Adaptation for Image Segmentation
    • [cs.CV]Spatiotemporal Contrastive Learning of Facial Expressions in Videos
    • [cs.CV]StrucTexT: Structured Text Understanding with Multi-Modal Transformers
    • [cs.CV]TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
    • [cs.CV]Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
    • [cs.CV]VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
    • [cs.CV]Vision-Based Food Analysis for Automatic Dietary Assessment
    • [cs.CY]Private Power and Public Interests: An Ethnographic Examination of the Power Outages in Texas in February 2021
    • [cs.DC]Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention
    • [cs.DC]Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging
    • [cs.DC]Scalable Analysis for Covid-19 and Vaccine Data
    • [cs.DC]Toward Efficient Online Scheduling for Distributed Machine Learning Systems
    • [cs.DM]Causal Inference Theory with Information Dependency Models
    • [cs.GR]Learning Activities in Colours and Rainbows for Programming Skill Development
    • [cs.HC]Real-Time Visual Analysis of High-Volume Social Media Posts
    • [cs.IT]Alternative Formulations for the Fluctuating Two-Ray Fading Model
    • [cs.IT]Anomaly Search with Multiple Plays under Delay and Switching Costs
    • [cs.IT]Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO
    • [cs.IT]Independence Properties of Generalized Submodular Information Measures
    • [cs.IT]Outage Probability of Intelligent Reflecting Surfaces Assisted Full Duplex Two-way Communications
    • [cs.IT]Reconfigurable Intelligent Surface-Assisted mmWave multi-UAV Wireless Cellular Networks
    • [cs.IT]The Differential Spectrum of the Power Mapping 今日学术视野(2021.8.10) - 图1
    • [cs.LG]Analysis of Driving Scenario Trajectories with Active Learning
    • [cs.LG]Auxiliary Class Based Multiple Choice Learning
    • [cs.LG]Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
    • [cs.LG]Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
    • [cs.LG]Incremental Feature Learning For Infinite Data
    • [cs.LG]Inspecting the Process of Bank Credit Rating via Visual Analytics
    • [cs.LG]Mitigating dataset harms requires stewardship: Lessons from 1000 papers
    • [cs.LG]Rectified Euler k-means and Beyond
    • [cs.LG]Shift-invariant waveform learning on epileptic ECoG
    • [cs.LG]Simple Modifications to Improve Tabular Neural Networks
    • [cs.LG]Temporally Abstract Partial Models
    • [cs.LG]Transferring Knowledge Distillation for Multilingual Social Event Detection
    • [cs.LG]Unsupervised Learning of Debiased Representations with Pseudo-Attributes
    • [cs.LG]User Scheduling for Federated Learning Through Over-the-Air Computation
    • [cs.NE]Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms
    • [cs.NI]Computation and Communication Co-Design for Real-Time Monitoring and Control in Multi-Agent Systems
    • [cs.RO]A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
    • [cs.RO]An Efficient Egocentric Regulator for Continuous Targeting Problems of the Underactuated Quadrotor
    • [cs.RO]Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots
    • [cs.RO]Co-design Optimization for Underwater Vehicle Docking Systems
    • [cs.RO]Differentiable Moving Horizon Estimation for Robust Flight Control
    • [cs.RO]Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
    • [cs.RO]External Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot
    • [cs.RO]On Bundle Adjustment for Multiview PointCloud Registration
    • [cs.RO]Sampling-based multi-agent choreography planning: a metric space approach
    • [cs.SD]An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
    • [cs.SE]Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work
    • [cs.SI]Investigating The Impacting Factors on The Public’s Attitudes Towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data
    • [cs.SI]Relay a message as far as possible with local decisions in a network
    • [econ.EM]Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data
    • [eess.SP]Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications
    • [eess.SP]Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems
    • [eess.SP]RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
    • [hep-ph]Beyond Cuts in Small Signal Scenarios - Enhanced Sneutrino Detectability Using Machine Learning
    • [math.NA]Fast and Accurate Low-Rank Tensor Completion Methods Based on QR Decomposition and 今日学术视野(2021.8.10) - 图2 Norm Minimization
    • [math.ST]Localization in 1D non-parametric latent space models from pairwise affinities
    • [math.ST]Minimax Boundary Estimation and Estimation with Boundary
    • [physics.ins-det]Machine learning for surface prediction in ACTS
    • [physics.soc-ph]Higher-order motif analysis in hypergraphs
    • [quant-ph]Extendibility limits the performance of quantum processors
    • [quant-ph]Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
    • [stat.ME]Discussion on “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects” by Hahn, Murray and Carvalho
    • [stat.ME]Optimal integrating learning for split questionnaire design type data
    • [stat.ME]Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination
    • [stat.ML]Interpolation can hurt robust generalization even when there is no noise
    • [stat.ML]Path classification by stochastic linear recurrent neural networks

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

    • [astro-ph.EP]A novel approach to asteroid impact monitoring and hazard assessment
    Javier Roa, Davide Farnocchia, Steven R. Chesley
    http://arxiv.org/abs/2108.03201v1

    • [cs.AI]Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene
    Qi Wu, Cheng-Ju Wu, Yixin Zhu, Jungseock Joo
    http://arxiv.org/abs/2108.02846v1

    • [cs.AI]Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
    Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
    http://arxiv.org/abs/2108.03013v1

    • [cs.AI]Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints
    Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
    http://arxiv.org/abs/2108.03033v1

    • [cs.AI]Reasoning on Multi-Relational Contextual Hierarchies via Answer Set Programming with Algebraic Measures
    Loris Bozzato, Thomas Eiter, Rafael Kiesel
    http://arxiv.org/abs/2108.03100v1

    • [cs.AI]Towards a Semantics for Hybrid ASP systems
    Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko
    http://arxiv.org/abs/2108.03061v1

    • [cs.AI]Utilizing Treewidth for Quantitative Reasoning on Epistemic Logic Programs
    Viktor Besin, Markus Hecher, Stefan Woltran
    http://arxiv.org/abs/2108.03022v1

    • [cs.CL]Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
    Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
    http://arxiv.org/abs/2108.02859v1

    • [cs.CL]Cross-lingual Capsule Network for Hate Speech Detection in Social Media
    Aiqi Jiang, Arkaitz Zubiaga
    http://arxiv.org/abs/2108.03089v1

    • [cs.CL]Deriving Disinformation Insights from Geolocalized Twitter Callouts
    David Tuxworth, Dimosthenis Antypas, Luis Espinosa-Anke, Jose Camacho-Collados, Alun Preece, David Rogers
    http://arxiv.org/abs/2108.03067v1

    • [cs.CL]Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
    Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang
    http://arxiv.org/abs/2108.02866v1

    • [cs.CL]Evolution of emotion semantics
    Aotao Xu, Jennifer E. Stellar, Yang Xu
    http://arxiv.org/abs/2108.02887v1

    • [cs.CL]GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
    Eva Vanmassenhove, Johanna Monti
    http://arxiv.org/abs/2108.02854v1

    • [cs.CL]Hate Speech Detection in Roman Urdu
    Moin Khan, Khurram Shahzad, Kamran Malik
    http://arxiv.org/abs/2108.02830v1

    • [cs.CL]Is it Fake? News Disinformation Detection on South African News Websites
    Harm de Wet, Vukosi Marivate
    http://arxiv.org/abs/2108.02941v1

    • [cs.CL]LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
    Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
    http://arxiv.org/abs/2108.02915v1

    • [cs.CL]Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents
    Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan
    http://arxiv.org/abs/2108.02899v1

    • [cs.CL]SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection
    Aiqi Jiang, Xiaohan Yang, Yang Liu, Arkaitz Zubiaga
    http://arxiv.org/abs/2108.03070v1

    • [cs.CL]Sentence Semantic Regression for Text Generation
    Wei Wang, Piji Li, Hai-Tao Zheng
    http://arxiv.org/abs/2108.02984v1

    • [cs.CL]Tell me a story about yourself: The words of shopping experience and self-satisfaction
    L Petruzzellis, A Fronzetti Colladon, M Visentin, J. -C. Chebat
    http://arxiv.org/abs/2108.03016v1

    • [cs.CR]When Googling it doesn’t work: The challenge of finding security advice for smart home devices
    Sarah Turner, Jason R. C. Nurse, Shujun Li
    http://arxiv.org/abs/2108.03107v1

    • [cs.CV]3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
    Yue Sun, Zhuoming Huang, Honggang Zhang, Zhi Cao, Deqiang Xu
    http://arxiv.org/abs/2108.02858v1

    • [cs.CV]A Data Augmented Approach to Transfer Learning for Covid-19 Detection
    Shagufta Henna, Aparna Reji
    http://arxiv.org/abs/2108.02870v1

    • [cs.CV]AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
    Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
    http://arxiv.org/abs/2108.02998v1

    • [cs.CV]AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
    Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
    http://arxiv.org/abs/2108.03001v1

    • [cs.CV]Adapting Segmentation Networks to New Domains by Disentangling Latent Representations
    Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh
    http://arxiv.org/abs/2108.03021v1

    • [cs.CV]Basis Scaling and Double Pruning for Efficient Transfer Learning
    Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
    http://arxiv.org/abs/2108.02893v1

    • [cs.CV]Bird’s-Eye-View Panoptic Segmentation Using Monocular Frontal View Images
    Nikhil Gosala, Abhinav Valada
    http://arxiv.org/abs/2108.03227v1

    • [cs.CV]Contrastive Learning for View Classification of Echocardiograms
    Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal Bhatia, Bernhard Kainz, Arian Beqiri
    http://arxiv.org/abs/2108.03124v1

    • [cs.CV]DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
    Min Yang, Dongliang He, Miao Fan, Baorong Shi, Xuetong Xue, Fu Li, Errui Ding, Jizhou Huang
    http://arxiv.org/abs/2108.02927v1

    • [cs.CV]Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
    Kaiwei Che, Chengwei Ye, Yibing Yao, Nachuan Ma, Ruo Zhang, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2108.02948v1

    • [cs.CV]Detailed Avatar Recovery from Single Image
    Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang
    http://arxiv.org/abs/2108.02931v1

    • [cs.CV]Disentangled Lifespan Face Synthesis
    Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
    http://arxiv.org/abs/2108.02874v1

    • [cs.CV]Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
    Yan Bai, Jile Jiao, Shengsen Wu, Yihang Lou, Jun Liu, Xuetao Feng, Ling-Yu Duan
    http://arxiv.org/abs/2108.02959v1

    • [cs.CV]ELSED: Enhanced Line SEgment Drawing
    Iago Suárez, José M. Buenaposada, Luis Baumela
    http://arxiv.org/abs/2108.03144v1

    • [cs.CV]Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images
    Bhavani Sambaturu, Ashutosh Gupta, C. V. Jawahar, Chetan Arora
    http://arxiv.org/abs/2108.02996v1

    • [cs.CV]Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles
    Jindi Zhang, Yang Lou, Jianping Wang, Kui Wu, Kejie Lu, Xiaohua Jia
    http://arxiv.org/abs/2108.02940v1

    • [cs.CV]Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
    Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, Miles Brundage
    http://arxiv.org/abs/2108.02818v1

    • [cs.CV]Feature Detection for Hand Hygiene Stages
    Rashmi Bakshi, Jane Courtney, Damon Berry, Graham Gavin
    http://arxiv.org/abs/2108.03015v1

    • [cs.CV]Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
    Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang
    http://arxiv.org/abs/2108.02953v1

    • [cs.CV]Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
    Yongtuo Liu, Dan Xu, Sucheng Ren, Hanjie Wu, Hongmin Cai, Shengfeng He
    http://arxiv.org/abs/2108.02980v1

    • [cs.CV]From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
    Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng
    http://arxiv.org/abs/2108.02934v1

    • [cs.CV]Full-Duplex Strategy for Video Object Segmentation
    Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao
    http://arxiv.org/abs/2108.03151v1

    • [cs.CV]GLASS: Geometric Latent Augmentation for Shape Spaces
    Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy Mitra
    http://arxiv.org/abs/2108.03225v1

    • [cs.CV]High-frequency shape recovery from shading by CNN and domain adaptation
    Kodai Tokieda, Takafumi Iwaguchi, Hiroshi Kawasaki
    http://arxiv.org/abs/2108.02937v1

    • [cs.CV]ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
    Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
    http://arxiv.org/abs/2108.02938v1

    • [cs.CV]Improving Contrastive Learning by Visualizing Feature Transformation
    Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen
    http://arxiv.org/abs/2108.02982v1

    • [cs.CV]Interpretable Visual Understanding with Cognitive Attention Network
    Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
    http://arxiv.org/abs/2108.02924v1

    • [cs.CV]Learning Meta-class Memory for Few-Shot Semantic Segmentation
    Zhonghua Wu, Xiangxi Shi, Guosheng lin, Jianfei Cai
    http://arxiv.org/abs/2108.02958v1

    • [cs.CV]Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia
    Harry Mason, Lorenzo Cristoni, Andrew Walden, Roberto Lazzari, Thomas Pulimood, Louis Grandjean, Claudia AM Gandini Wheeler-Kingshott, Yipeng Hu, Zachary MC Baum
    http://arxiv.org/abs/2108.03138v1

    • [cs.CV]MmWave Radar and Vision Fusion based Object Detection for Autonomous Driving: A Survey
    Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici W
    1000
    u, Zhiyong Feng
    http://arxiv.org/abs/2108.03004v1

    • [cs.CV]Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach
    Xi Peng, Fengchun Qiao, Long Zhao
    http://arxiv.org/abs/2108.02888v1

    • [cs.CV]Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
    Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Jing Qin, Dan Xu, Shengfeng He
    http://arxiv.org/abs/2108.02970v1

    • [cs.CV]SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
    Wasu Kudisthalert, Kitsuchart Pasupa, Aythami Morales, Julian Fierrez
    http://arxiv.org/abs/2108.03140v1

    • [cs.CV]STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing
    Wen-Cheng Chen, Min-Chun Hu, Chu-Song Chen
    http://arxiv.org/abs/2108.03072v1

    • [cs.CV]Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
    Zhihe lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
    http://arxiv.org/abs/2108.03032v1

    • [cs.CV]Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization
    Antoni Rosinol, Luca Carlone
    http://arxiv.org/abs/2108.02957v1

    • [cs.CV]Source-Free Domain Adaptation for Image Segmentation
    Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
    http://arxiv.org/abs/2108.03152v1

    • [cs.CV]Spatiotemporal Contrastive Learning of Facial Expressions in Videos
    Shuvendu Roy, Ali Etemad
    http://arxiv.org/abs/2108.03064v1

    • [cs.CV]StrucTexT: Structured Text Understanding with Multi-Modal Transformers
    Yulin Li, Yuxi Qian, Yuchen Yu, Xiameng Qin, Chengquan Zhang, Yan Liu, Kun Yao, Junyu Han, Jingtuo Liu, Errui Ding
    http://arxiv.org/abs/2108.02923v1

    • [cs.CV]TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
    Kai Feng, Weixing Li, Jun Han, Feng Pan, Dongdong Zheng
    http://arxiv.org/abs/2108.03116v1

    • [cs.CV]Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
    Ufuk Demir, Atahan Ozer, Yusuf H. Sahin, Gozde Unal
    http://arxiv.org/abs/2108.03117v1

    • [cs.CV]VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
    Thuan Trong Nguyen, Thuan Q. Nguyen, Dung Vo, Vi Nguyen, Ngoc Ho, Nguyen D. Vo, Kiet Van Nguyen, Khang Nguyen
    http://arxiv.org/abs/2108.02929v1

    • [cs.CV]Vision-Based Food Analysis for Automatic Dietary Assessment
    Wei Wang, Weiqing Min, Tianhao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang
    http://arxiv.org/abs/2108.02947v1

    • [cs.CY]Private Power and Public Interests: An Ethnographic Examination of the Power Outages in Texas in February 2021
    William Wagner, Siyu Xiang, Chien-Ting Chang
    http://arxiv.org/abs/2108.02224v2

    • [cs.DC]Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention
    Dan Alistarh, Rati Gelashvili, Giorgi Nadiradze
    http://arxiv.org/abs/2108.02802v1

    • [cs.DC]**Optimizing full 3D SPARKLING trajectories for high-resolution T2-weighted Magnetic Resonance Imaging
    Chaithya G R, Pierre Weiss, Guillaume Daval-Fr{é}rot, Aur{é}lien Massire, Alexandre Vignaud, Philippe Ciuciu
    http://arxiv.org/abs/2108.02991v1

    • [cs.DC]Scalable Analysis for Covid-19 and Vaccine Data
    Chris Collins, Roxana Cuevas, Edward Hernandez, Reece Hernandez, Breanna Le, Jongwook Woo
    http://arxiv.org/abs/2108.02898v1

    • [cs.DC]Toward Efficient Online Scheduling for Distributed Machine Learning Systems
    Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
    http://arxiv.org/abs/2108.02917v1

    • [cs.DM]Causal Inference Theory with Information Dependency Models
    Benjamin Heymann, Michel de Lara, Jean-Philippe Chancelier
    http://arxiv.org/abs/2108.03099v1

    • [cs.GR]Learning Activities in Colours and Rainbows for Programming Skill Development
    Jonathan C. Roberts
    http://arxiv.org/abs/2108.03162v1

    • [cs.HC]Real-Time Visual Analysis of High-Volume Social Media Posts
    Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl
    http://arxiv.org/abs/2108.03052v1

    • [cs.IT]Alternative Formulations for the Fluctuating Two-Ray Fading Model
    Maryam Olyaee, Juan M. Romero-Jerez, F. Javier Lopez-Martinez, Andrea J. Goldsmith
    http://arxiv.org/abs/2108.02990v1

    • [cs.IT]Anomaly Search with Multiple Plays under Delay and Switching Costs
    Tidhar Lambez, Kobi Cohen
    http://arxiv.org/abs/2108.03082v1

    • [cs.IT]Beam-Slicing for Jammer Mitigation in mmWave Massive MU-MIMO
    Oscar Castañeda, Gian Marti, Christoph Studer
    http://arxiv.org/abs/2108.03202v1

    • [cs.IT]Independence Properties of Generalized Submodular Information Measures
    Hima
    7cfd
    nshu Asnani, Jeff Bilmes, Rishabh Iyer
    http://arxiv.org/abs/2108.03154v1

    • [cs.IT]Outage Probability of Intelligent Reflecting Surfaces Assisted Full Duplex Two-way Communications
    Binyu Lu, Rui Wang, Yiming Liu
    http://arxiv.org/abs/2108.02954v1

    • [cs.IT]Reconfigurable Intelligent Surface-Assisted mmWave multi-UAV Wireless Cellular Networks
    Lisi Jiang, Hamid Jafarkhani
    http://arxiv.org/abs/2108.02916v1

    • [cs.IT]The Differential Spectrum of the Power Mapping 今日学术视野(2021.8.10) - 图3
    Haode Yan, Yongbo Xia, Chunlei Li, Tor Helleseth, Maosheng Xiong, Jinquan Luo
    http://arxiv.org/abs/2108.03088v1

    • [cs.LG]Analysis of Driving Scenario Trajectories with Active Learning
    Sanna Jarl, Sadegh Rahrovani, Morteza Haghir Chehreghani
    http://arxiv.org/abs/2108.03217v1

    • [cs.LG]Auxiliary Class Based Multiple Choice Learning
    Sihwan Kim, Dae Yon Jung, Taejang Park
    http://arxiv.org/abs/2108.02949v1

    • [cs.LG]Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
    Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng
    http://arxiv.org/abs/2108.02904v1

    • [cs.LG]Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
    Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
    http://arxiv.org/abs/2108.03039v1

    • [cs.LG]Incremental Feature Learning For Infinite Data
    Armin Sadreddin, Samira Sadaoui
    http://arxiv.org/abs/2108.02932v1

    • [cs.LG]Inspecting the Process of Bank Credit Rating via Visual Analytics
    Qiangqiang Liu, Quan Li, Zhihua Zhu, Tangzhi Ye, Xiaojuan Ma
    http://arxiv.org/abs/2108.03011v1

    • [cs.LG]Mitigating dataset harms requires stewardship: Lessons from 1000 papers
    Kenny Peng, Arunesh Mathur, Arvind Narayanan
    http://arxiv.org/abs/2108.02922v1

    • [cs.LG]Rectified Euler k-means and Beyond
    Yunxia Lin, Songcan chen
    http://arxiv.org/abs/2108.03081v1

    • [cs.LG]Shift-invariant waveform learning on epileptic ECoG
    Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
    http://arxiv.org/abs/2108.03177v1

    • [cs.LG]Simple Modifications to Improve Tabular Neural Networks
    James Fiedler
    http://arxiv.org/abs/2108.03214v1

    • [cs.LG]Temporally Abstract Partial Models
    Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
    http://arxiv.org/abs/2108.03213v1

    • [cs.LG]Transferring Knowledge Distillation for Multilingual Social Event Detection
    Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo Wang, Qiang Yang
    http://arxiv.org/abs/2108.03084v1

    • [cs.LG]Unsupervised Learning of Debiased Representations with Pseudo-Attributes
    Seonguk Seo, Joon-Young Lee, Bohyung Han
    http://arxiv.org/abs/2108.02943v1

    • [cs.LG]User Scheduling for Federated Learning Through Over-the-Air Computation
    Xiang Ma, Haijian Sun, Qun Wang, Rose Qingyang Hu
    http://arxiv.org/abs/2108.02891v1

    • [cs.NE]Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms
    Hugo Alcaraz-Herrera, John Cartlidge
    http://arxiv.org/abs/2108.03156v1

    • [cs.NI]Computation and Communication Co-Design for Real-Time Monitoring and Control in Multi-Agent Systems
    Vishrant Tripathi, Luca Ballotta, Luca Carlone, Eytan Modiano
    http://arxiv.org/abs/2108.03122v1

    • [cs.RO]A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
    Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayahuitl
    http://arxiv.org/abs/2108.03222v1

    • [cs.RO]An Efficient Egocentric Regulator for Continuous Targeting Problems of the Underactuated Quadrotor
    Ziying Lin, Wei Dong, Sensen Liu, Xinjun Sheng, Xiangyang Zhu
    http://arxiv.org/abs/2108.02930v1

    • [cs.RO]Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots
    Simón C. Smith, Subramanian Ramamoorthy
    http://arxiv.org/abs/2108.03150v1

    • [cs.RO]Co-design Optimization for Underwater Vehicle Docking Systems
    Jonathan Wallen, Maddyson Jeske, Zhuoyuan Song
    http://arxiv.org/abs/2108.02906v1

    • [cs.RO]Differentiable Moving Horizon Estimation for Robust Flight Control
    Bingheng Wang, Zhengtian Ma, Shupeng Lai, Lin Zhao, Tong Heng Lee
    http://arxiv.org/abs/2108.03212v1

    • [cs.RO]Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
    Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
    http://arxiv.org/abs/2108.03180v1

    • [cs.RO]External Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot
    Shyam Sundar Kannan, Ahreum Lee, Byung-Cheol Min
    http://arxiv.org/abs/2108.03045v1

    • [cs.RO]On Bundle Adjustment for Multiview PointCloud Registration
    Huaiyang Huang, Yuxiang Sun, Jin Wu, Jiaohao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu
    http://arxiv.org/abs/2108.02976v1

    • [cs.RO]Sampling-based multi-agent choreography planning: a metric space approach
    Anton Lukyanenko, Damoon Soudbakhsh
    http://arxiv.org/abs/2108.03191v1

    • [cs.SD]An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
    Dengfeng Ke, Yuxing Lu, Xudong Liu, Yanyan Xu, Jing Sun, Cheng-Hao Cai
    http://arxiv.org/abs/2108.03008v1

    • [cs.SE]Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work
    Mohammad Kasra Habib, Stefan Wagner, Daniel Graziotin
    http://arxiv.org/abs/2108.03087v1

    • [cs.SI]Investigating The Impacting Factors on The Public’s Attitudes Towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data
    Shengzhao Wang, Meitang Li, Bo Yu, Shan Bao, Yuren Chen
    http://arxiv.org/abs/2108.03206v1

    • [cs.SI]Relay a message as far as possible with local decisions in a network
    Ricky X. F. Chen
    http://arxiv.org/abs/2108.02777v1

    • [econ.EM]Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data
    Hanno Reuvers, Etienne Wijler
    http://arxiv.org/abs/2108.02864v1

    • [eess.SP]Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications
    Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin, Long D. Nguyen, Octavia A. Dobre, Trung Q. Duong
    http://arxiv.org/abs/2108.02892v1

    • [eess.SP]Energy Efficiency Maximization Precoding for Quantized Massive MIMO Systems
    Jinseok Choi, Jeonghun Park, Namyoon Lee
    http://arxiv.org/abs/2108.03048v1

    • [eess.SP]RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
    Khoi Khac Nguyen, Antonino Masaracchia, Tan Do-Duy, H. Vincent Poor, Trung Q. Duong
    http://arxiv.org/abs/2108.02889v1

    • [hep-ph]Beyond Cuts in Small Signal Scenarios - Enhanced Sneutrino Detectability Using Machine Learning
    Daniel Alvestad, Nikolai Fomin, Jörn Kersten, Steffen Maeland, Inga Strümke
    http://arxiv.org/abs/2108.03125v1

    • [math.NA]Fast and Accurate Low-Rank Tensor Completion Methods Based on QR Decomposition and 今日学术视野(2021.8.10) - 图4 Norm Minimization
    HongBing Zhang, XinYi Liu, HongTao Fan, YaJing Li, Yinlin Ye
    http://arxiv.org/abs/2108.03002v1

    • [math.ST]Localization in 1D non-parametric latent space models from pairwise affinities
    Christophe Giraud, Yann Issartel, Nicolas Verzelen
    http://arxiv.org/abs/2108.03098v1

    • [math.ST]Minimax Boundary Estimation and Estimation with Boundary
    Eddie Aamari, Catherine Aaron, Clément Levrard
    http://arxiv.org/abs/2108.03135v1

    • [physics.ins-det]Machine learning for surface prediction in ACTS
    Benjamin Huth, Andreas Salzburger, Tilo Wettig
    http://arxiv.org/abs/2108.03068v1

    • [physics.soc-ph]Higher-order motif analysis in hypergraphs
    Quintino Francesco Lotito, Federico Musciotto, Alberto Montresor, Federico Battiston
    http://arxiv.org/abs/2108.03192v1

    • [quant-ph]Extendibility limits the performance of quantum processors
    Eneet Kaur, Siddhartha Das, Mark M. Wilde, Andreas Winter
    http://arxiv.org/abs/2108.03137v1

    • [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/2108.03190v1

    • [stat.ME]Discussion on “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects” by Hahn, Murray and Carvalho
    Liangyuan Hu
    http://arxiv.org/abs/2108.02836v1

    • [stat.ME]Optimal integrating learning for split questionnaire design type data
    Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li, Yuhong Yang
    http://arxiv.org/abs/2108.02905v1

    • [stat.ME]Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination
    Tilmann Gneiting, Johannes Resin
    http://arxiv.org/abs/2108.03210v1

    • [stat.ML]Interpolation can hurt robust generalization even when there is no noise
    Konstantin Donhauser, Alexandru Ţifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
    http://arxiv.org/abs/2108.02883v1

    • [stat.ML]Path classification by stochastic linear recurrent neural networks
    Wiebke Bartolomaeus, Youness Boutaib, Sandra Nestler, Holger Rauhut
    http://arxiv.org/abs/2108.03090v1