cs.AR - 硬件体系结构
    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.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.PL - 编程语言
    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.TH - 理论经济学
    eess.AS - 语音处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    hep-ex - 高能物理实验
    hep-th - 高能物理理论
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    q-fin.GN - 通用财务
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AR]BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration
    • [cs.AR]Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
    • [cs.AR]Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
    • [cs.CL]An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
    • [cs.CL]Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction
    • [cs.CL]Bambara Language Dataset for Sentiment Analysis
    • [cs.CL]Decoupled Transformer for Scalable Inference in Open-domain Question Answering
    • [cs.CL]EENLP: Cross-lingual Eastern European NLP Index
    • [cs.CL]Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP
    • [cs.CL]Finetuning Pretrained Transformers into Variational Autoencoders
    • [cs.CL]Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
    • [cs.CL]O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
    • [cs.CL]Robust Transfer Learning with Pretrained Language Models through Adapters
    • [cs.CL]Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
    • [cs.CL]VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
    • [cs.CL]WeChat Neural Machine Translation Systems for WMT21
    • [cs.CR]Exploring Structure Consistency for Deep Model Watermarking
    • [cs.CR]IoT Notary: Attestable Sensor Data Capture in IoT Environments
    • [cs.CR]Poison Ink: Robust and Invisible Backdoor Attack
    • [cs.CR]Role-based lateral movement detection with unsupervised learning
    • [cs.CR]Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
    • [cs.CV]A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
    • [cs.CV]A Low Rank Promoting Prior for Unsupervised Contrastive Learning
    • [cs.CV]ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
    • [cs.CV]Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
    • [cs.CV]Adversarial learning of cancer tissue representations
    • [cs.CV]Automatic Detection of Rail Components via A Deep Convolutional Transformer Network
    • [cs.CV]Boosting Few-shot Semantic Segmentation with Transformers
    • [cs.CV]Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment
    • [cs.CV]Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
    • [cs.CV]Dual-reference Training Data Acquisition and CNN Construction for Image Super-Resolution
    • [cs.CV]Dynamic Relevance Learning for Few-Shot Object Detection
    • [cs.CV]Fairness Properties of Face Recognition and Obfuscation Systems
    • [cs.CV]Fast Convergence of DETR with Spatially Modulated Co-Attention
    • [cs.CV]Generalizable Mixed-Precision Quantization via Attribution Rank Preservation
    • [cs.CV]Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
    • [cs.CV]Hierarchical Aggregation for 3D Instance Segmentation
    • [cs.CV]Hybrid Reasoning Network for Video-based Commonsense Captioning
    • [cs.CV]IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
    • [cs.CV]Imperceptible Adversarial Examples by Spatial Chroma-Shift
    • [cs.CV]Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows
    • [cs.CV]Instance Similarity Learning for Unsupervised Feature Representation
    • [cs.CV]Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
    • [cs.CV]LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
    • [cs.CV]M2IOSR: Maximal Mutual Information Open Set Recognition
    • [cs.CV]MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
    • [cs.CV]MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
    • [cs.CV]MixLacune: Segmentation of lacunes of presumed vascular origin
    • [cs.CV]Multi-Branch with Attention Network for Hand-Based Person Recognition
    • [cs.CV]Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
    • [cs.CV]Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
    • [cs.CV]Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
    • [cs.CV]Parallel Capsule Networks for Classification of White Blood Cells
    • [cs.CV]Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
    • [cs.CV]RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
    • [cs.CV]Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
    • [cs.CV]Residual Attention: A Simple but Effective Method for Multi-Label Recognition
    • [cs.CV]Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
    • [cs.CV]SLAMP: Stochastic Latent Appearance and Motion Prediction
    • [cs.CV]Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers
    • [cs.CV]Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks
    • [cs.CV]SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
    • [cs.CV]Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
    • [cs.CV]Sketch Your Own GAN
    • [cs.CV]Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval
    • [cs.CV]Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
    • [cs.CV]The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
    • [cs.CV]Token Shift Transformer for Video Classification
    • [cs.CV]TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding
    • [cs.CV]UPDesc: Unsupervised Point Descriptor Learning for Robust Registration
    • [cs.CV]UniCon: Unified Context Network for Robust Active Speaker Detection
    • [cs.CV]Unifying Global-Local Representations in Salient Object Detection with Transformer
    • [cs.CV]Unifying Nonlocal Blocks for Neural Networks
    • [cs.CV]Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks
    • [cs.CV]Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
    • [cs.CV]Video Contrastive Learning with Global Context
    • [cs.CV]Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware
    • [cs.CV]VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
    • [cs.CV]Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
    • [cs.CV]dp-GAN : Alleviating Mode Collapse in GAN via Diversity Penalty Module
    • [cs.CY]Private Power and Public Interests: An Ethnographic Examination of the Power Outages in Texas in February 2021
    • [cs.CY]R&D evaluation methodology based on group-AHP with uncertainty
    • [cs.CY]Remote Teaching and Learning in Applied Engineering: A Post-Pandemic Perspective
    • [cs.CY]Shifting Mobility Behaviors in Unprecedented Times: Intentions to Use On-demand Ride Services During the COVID-19 Pandemic
    • [cs.CY]Understanding parents’ perceptions of children’s cybersecurity awareness in Norway
    • [cs.DC]A Distributed Application Placement and Migration Management Techniques for Edge and Fog Computing Environments
    • [cs.DC]A tight local algorithm for the minimum dominating set problem in outerplanar graphs
    • [cs.DC]Crystalline: Fast and Memory Efficient Wait-Free Reclamation
    • [cs.DC]Efficient CONGEST Algorithms for the Lovasz Local Lemma
    • [cs.DC]JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre
    • [cs.DC]Sinkless orientation is hard also in the supported LOCAL model
    • [cs.DC]Space and Time Bounded Multiversion Garbage Collection
    • [cs.DC]Spotify Danceability and Popularity Analysis using SAP
    • [cs.DC]Two-Chains: High Performance Framework for Function Injection and Execution
    • [cs.HC]VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models
    • [cs.IR]Itinerary-aware Personalized Deep Matching at Fliggy
    • [cs.IR]LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
    • [cs.IR]Predicting Music Relistening Behavior Using the ACT-R Framework
    • [cs.IR]Time-aware Path Reasoning on Knowledge Graph for Recommendation
    • [cs.IT]Adaptive Beam Design for V2I Communications using Vehicle Tracking with Extended Kalman Filter
    • [cs.IT]Decentralized Federated Learning with Unreliable Communications
    • [cs.IT]Direct Construction of Optimal Z-Complementary Code Sets for all Possible Even Length by Using Pseudo-Boolean Functions
    • [cs.IT]Foundations of User-Centric Cell-Free Massive MIMO
    • [cs.IT]IRS-Aided Energy Efficient UAV Communication
    • [cs.IT]Information disclosure in the framework of Kolmogorov complexity
    • [cs.IT]Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
    • [cs.IT]The Key Equation for One-Point Codes
    • [cs.LG]A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare
    • [cs.LG]A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain
    • [cs.LG]Active Reinforcement Learning over MDPs
    • [cs.LG]Adapting to Function Difficulty and Growth Conditions in Private Optimization
    • [cs.LG]Aspis: A Robust Detection System for Distributed Learning
    • [cs.LG]Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
    • [cs.LG]BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
    • [cs.LG]Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
    • [cs.LG]Emergent Discrete Communication in Semantic Spaces
    • [cs.LG]Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems
    • [cs.LG]FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
    • [cs.LG]GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning
    • [cs.LG]Growing an architecture for a neural network
    • [cs.LG]High dimensional Bayesian Optimization Algorithm for Complex System in Time Series
    • [cs.LG]Learning to Elect
    • [cs.LG]Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection
    • [cs.LG]Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty
    • [cs.LG]Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
    • [cs.LG]On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
    • [cs.LG]PI3NN: Prediction intervals from three independently trained neural networks
    • [cs.LG]Reducing Unintended Bias of ML Models on Tabular and Textual Data
    • [cs.LG]Sparse Communication via Mixed Distributions
    • [cs.LG]The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
    • [cs.LO]An ASP-based Solution to the Chemotherapy Treatment Scheduling problem
    • [cs.PL]Accelerating XOR-based Erasure Coding using Program Optimization Techniques
    • [cs.RO]A Method to use Nonlinear Dynamics in a Whisker Sensor for Terrain Identification by Mobile Robots
    • [cs.RO]An Interleaved Approach to Trait-Based Task Allocation and Scheduling
    • [cs.RO]Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies
    • [cs.RO]Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
    • [cs.RO]Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
    • [cs.RO]DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
    • [cs.RO]Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles
    • [cs.RO]LEO: Learning Energy-based Models in Graph Optimization
    • [cs.RO]LIDAUS: Localization of IoT Device via Anchor UAV SLAM
    • [cs.RO]Learning to Design and Construct Bridge without Blueprint
    • [cs.RO]Mechatronic Investigation of Wound Healing Process by Using Micro Robot
    • [cs.RO]REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs
    • [cs.RO]Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets
    • [cs.RO]Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
    • [cs.RO]Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
    • [cs.RO]User modeling for social and affective robots
    • [cs.SD]Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
    • [cs.SD]MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
    • [cs.SD]Performer Identification From Symbolic Representation of Music Using Statistical Models
    • [cs.SE]An Abstract View of Big Data Processing Programs
    • [cs.SE]TRANSMUT-SPARK: Transformation Mutation for Apache Spark
    • [cs.SE]Using Metamorphic Relations to Verify and Enhance Artcode Classification
    • [cs.SI]A Semi-quantitative Covid-19 Individual Risk Model
    • [cs.SI]Automatically Labeling Low Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors
    • [cs.SI]Cycle Analysis of Directed Acyclic Graphs
    • [econ.TH]Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black
    • [eess.AS]Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System
    • [eess.SP]Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach
    • [eess.SY]Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
    • [eess.SY]Safe Motion Planning against Multimodal Distributions based on a Scenario Approach
    • [hep-ex]A FAIR and AI-ready Higgs Boson Decay Dataset
    • [hep-th]Deep multi-task mining Calabi-Yau four-folds
    • [hep-th]Nonperturbative renormalization for the neural network-QFT correspondence
    • [math.OC]Advances in Trajectory Optimization for Space Vehicle Control
    • [math.OC]Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function
    • [math.OC]Tikhonov Regularization of Circle-Valued Signals
    • [math.PR]Convergence rate to the Tracy—Widom laws for the largest eigenvalue of sample covariance matrices
    • [math.ST]Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
    • [physics.comp-ph]Redatuming physical systems using symmetric autoencoders
    • [physics.soc-ph]A method to compute the communicability of nodes through causal paths in temporal networks
    • [q-bio.QM]Predicting Post-Concussion Syndrome Outcomes with Machine Learning
    • [q-fin.GN]Machine Learning Classification Methods and Portfolio Allocation: An Examination of Market Efficiency
    • [stat.AP]Covariance Estimation and its Application in Large-Scale Online Controlled Experiments
    • [stat.AP]Divergent Effects of Factors on Crashes under Autonomous and Conventional Driving Modes Using A Hierarchical Bayesian Approach
    • [stat.AP]PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
    • [stat.AP]Practices of public procurement and the risk of corrupt behavior before and after the government transition in México
    • [stat.ME]Cumulative differences between subpopulations
    • [stat.ME]Improving the Power of Economic Experiments Using Adaptive Designs
    • [stat.ME]Robust Density Power Divergence Estimates for Panel Data Models
    • [stat.ML]A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
    • [stat.ML]AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
    • [stat.ML]Deep learning for inverse problems with unknown operator
    • [stat.ML]Self-supervised optimization of random material microstructures in the small-data regime
    • [stat.ML]Shape Modeling with Spline Partitions

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

    • [cs.AR]BEANNA: A Binary-Enabled Architecture for Neural Network Acceleration
    Caleb Terrill, Fred Chu
    http://arxiv.org/abs/2108.02313v1

    • [cs.AR]Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
    Chang Gao, Tobi Delbruck, Shih-Chii Liu
    http://arxiv.org/abs/2108.02297v1
    f9b
    f9b)

    • [cs.AR]Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
    Chang Gao, Tobi Delbruck, Shih-Chii Liu
    http://arxiv.org/abs/2108.02297v1

    • [cs.CL]An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
    Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei VS Pakhomov
    http://arxiv.org/abs/2108.02255v1

    • [cs.CL]Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction
    Maxwell A. Weinzierl, Sanda M. Harabagiu
    http://arxiv.org/abs/2108.02314v1

    • [cs.CL]Bambara Language Dataset for Sentiment Analysis
    Mountaga Diallo, Chayma Fourati, Hatem Haddad
    http://arxiv.org/abs/2108.02524v1

    • [cs.CL]Decoupled Transformer for Scalable Inference in Open-domain Question Answering
    Haytham ElFadeel, Stan Peshterliev
    http://arxiv.org/abs/2108.02765v1

    • [cs.CL]EENLP: Cross-lingual Eastern European NLP Index
    Alexey Tikhonov, Alex Malkhasov, Andrey Manoshin, George Dima, Réka Cserháti, Md. Sadek Hossain Asif, Matt Sárdi
    http://arxiv.org/abs/2108.02605v1

    • [cs.CL]Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP
    Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy
    http://arxiv.org/abs/2108.02684v1

    • [cs.CL]Finetuning Pretrained Transformers into Variational Autoencoders
    Seongmin Park, Jihwa Lee
    http://arxiv.org/abs/2108.02446v1

    • [cs.CL]Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
    Yidi Jiang, Bidisha Sharma, Maulik Madhavi, Haizhou Li
    http://arxiv.org/abs/2108.02598v1

    • [cs.CL]O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
    Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun
    http://arxiv.org/abs/2108.02359v1

    • [cs.CL]Robust Transfer Learning with Pretrained Language Models through Adapters
    Wenjuan Han, Bo Pang, Yingnian Wu
    http://arxiv.org/abs/2108.02340v1

    • [cs.CL]Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
    Bowen Xing, Ivor W. Tsang
    http://arxiv.org/abs/2108.02352v1

    • [cs.CL]VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search
    Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
    http://arxiv.org/abs/2108.02725v1

    • [cs.CL]WeChat Neural Machine Translation Systems for WMT21
    Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou
    http://arxiv.org/abs/2108.02401v1

    • [cs.CR]Exploring Structure Consistency for Deep Model Watermarking
    Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu
    http://arxiv.org/abs/2108.02360v1

    • [cs.CR]IoT Notary: Attestable Sensor Data Capture in IoT Environments
    Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, Ardalan Amiri Sani
    http://arxiv.org/abs/2108.02293v1

    • [cs.CR]Poison Ink: Robust and Invisible Backdoor Attack
    Jie zhang, Dongdong Chen, Jing Liao, Qidong Huang, Gang Hua, Weiming Zhang, Nenghai Yu
    http://arxiv.org/abs/2108.02488v1

    • [cs.CR]Role-based lateral movement detection with unsupervised learning
    Brian A. Powell
    http://arxiv.org/abs/2108.02713v1

    • [cs.CR]Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
    Erik Hemberg, Una-May O’Reilly
    http://arxiv.org/abs/2108.02618v1

    • [cs.CV]A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
    Wei-Wen Hsu, Yongfang Wu, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, Yanhong Tai
    http://arxiv.org/abs/2108.02656v1

    • [cs.CV]A Low Rank Promoting Prior for Unsupervised Contrastive Learning
    Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei
    http://arxiv.org/abs/2108.02696v1

    • [cs.CV]ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
    Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang
    http://arxiv.org/abs/2108.02385v1

    • [cs.CV]Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
    Shubao Liu, Ke-Yue Zhang, Taiping Yao, Mingwei Bi, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma
    http://arxiv.org/abs/2108.02667v1

    • [cs.CV]Adversarial learning of cancer tissue representations
    Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan
    http://arxiv.org/abs/2108.02223v1

    • [cs.CV]Automatic Detection of Rail Components via A Deep Convolutional Transformer Network
    Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui
    http://arxiv.org/abs/2108.02423v1

    • [cs.CV]Boosting Few-shot Semantic Segmentation with Transformers
    Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool
    http://arxiv.org/abs/2108.02266v1

    • [cs.CV]Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment
    Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui
    http://arxiv.org/abs/2108.02476v1

    • [cs.CV]Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
    Xinzhi Dong, Chengjiang Long, Wenju Xu, Chunxia Xiao
    http://arxiv.org/abs/2108.02366v1

    • [cs.CV]Dual-reference Training Data Acquisition and CNN Construction for Image Super-Resolution
    Yanhui Guo, Xiao Shu, Xiaolin Wu
    http://arxiv.org/abs/2108.02348v1

    • [cs.CV]Dynamic Relevance Learning for Few-Shot Object Detection
    Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Song Chen, Xulun Ye, Jiafei Wu*
    http://arxiv.org/abs/2108.02235v1

    • [cs.CV]Fairness Properties of Face Recognition and Obfuscation Systems
    Harrison Rosenberg, Brian Tang, Kassem Fawaz, Somesh Jha
    http://arxiv.org/abs/2108.02707v1

    • [cs.CV]Fast Convergence of DETR with Spatially Modulated Co-Attention
    Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li
    http://arxiv.org/abs/2108.02404v1

    • [cs.CV]Generalizable Mixed-Precision Quantization via Attribution Rank Preservation
    Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2108.02720v1

    • [cs.CV]Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
    Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu
    http://arxiv.org/abs/2108.02376v1

    • [cs.CV]Hierarchical Aggregation for 3D Instance Segmentation
    Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang
    http://arxiv.org/abs/2108.02350v1

    • [cs.CV]Hybrid Reasoning Network for Video-based Commonsense Captioning
    Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan
    http://arxiv.org/abs/2108.02365v1

    • [cs.CV]IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
    Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan
    http://arxiv.org/abs/2108.02413v1

    • [cs.CV]Imperceptible Adversarial Examples by Spatial Chroma-Shift
    Ayberk Aydin, Deniz Sen, Berat Tuna Karli, Oguz Hanoglu, Alptekin Temizel
    http://arxiv.org/abs/2108.02502v1

    • [cs.CV]Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows
    M. M. A. Valiuddin, C. G. A. Viviers, R. J. G. van Sloun, P. H. N. de With, F. van der Sommen
    http://arxiv.org/abs/2108.02155v2

    • [cs.CV]Instance Similarity Learning for Unsupervised Feature Representation
    Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2108.02721v1

    • [cs.CV]Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
    Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui
    http://arxiv.org/abs/2108.02421v1

    • [cs.CV]LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
    Cui Xie, Hao Guo, Junyu Dong
    http://arxiv.org/abs/2108.02455v1

    • [cs.CV]M2IOSR: Maximal Mutual Information Open Set Recognition
    Xin Sun, Henghui Ding, Chi Zhang, Guosheng Lin, Keck-Voon Ling
    http://arxiv.org/abs/2108.02373v1

    • [cs.CV]MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
    Weihao Yuan, Rui Fan, Michael Yu Wang, Qifeng Chen
    http://arxiv.org/abs/2108.02448v1

    • [cs.CV]MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
    Shixiang Feng, Yuhang Zhou, Xiaoman Zhang, Ya Zhang, Yanfeng Wang
    http://arxiv.org/abs/2108.02559v1

    • [cs.CV]MixLacune: Segmentation of lacunes of presumed vascular origin
    Denis Kutnar, Bas H. M. van der Velden, Marta Girones Sanguesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf
    http://arxiv.org/abs/2108.02483v1

    • [cs.CV]Multi-Branch with Attention Network for Hand-Based Person Recognition
    Nathanael L. Baisa, Bryan Williams, Hossein Rahmani, Plamen Angelov, Sue Black
    http://arxiv.org/abs/2108.02234v1

    • [cs.CV]Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image
    Xinxin Zuo, Ji Yang, Sen Wang, Zhenbo Yu, Xinyu Li, Bingbing Ni, Minglun Gong, Li Cheng
    http://arxiv.org/abs/2108.02708v1

    • [cs.CV]Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
    Yuhang Ming, Xingrui Yang, Andrew Calway
    http://arxiv.org/abs/2108.02522v1

    • [cs.CV]Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
    Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood
    http://arxiv.org/abs/2108.02278v1

    • [cs.CV]Parallel Capsule Networks for Classification of White Blood Cells
    Juan P. Vigueras-Guillén, Arijit Patra, Ola Engkvist, Frank Seeliger
    http://arxiv.org/abs/2108.02644v1

    • [cs.CV]Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
    Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang
    http://arxiv.org/abs/2108.02613v1

    • [cs.CV]RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
    Narinder Singh Punn, Sonali Agarwal
    http://arxiv.org/abs/2108.02508v1

    • [cs.CV]Redesigning Fully Convolutional DenseUNets for Large Histopathology Images
    Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
    http://arxiv.org/abs/2108.02676v1

    • [cs.CV]Residual Attention: A Simple but Effective Method for Multi-Label Recognition
    Ke Zhu, Jianxin Wu
    http://arxiv.org/abs/2108.02456v1

    • [cs.CV]Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images
    Juan P. Vigueras-Guillén, Joan Lasenby, Frank Seeliger
    http://arxiv.org/abs/2108.02704v1

    • [cs.CV]SLAMP: Stochastic Latent Appearance and Motion Prediction
    Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney
    http://arxiv.org/abs/2108.02760v1

    • [cs.CV]Security and Privacy Enhanced Gait Authentication with Random Representation Learning and Digital Lockers
    Lam Tran, Thuc Nguyen, Hyunil Kim, Deokjai Choi
    http://arxiv.org/abs/2108.02400v1

    • [cs.CV]Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks
    Canyu Yang, Dennis Eschweiler, Johannes Stegmaier
    http://arxiv.org/abs/2108.02743v1

    • [cs.CV]SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
    Zhongjin Luo, Jie Zhou, Heming Zhu, Dong Du, Xiaoguang Han, Hongbo Fu
    http://arxiv.org/abs/2108.02548v1

    • [cs.CV]Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
    Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot
    http://arxiv.org/abs/2108.01959v2

    • [cs.CV]Sketch Your Own GAN
    Sheng-Yu Wang, David Bau, Jun-Yan Zhu
    http://arxiv.org/abs/2108.02774v1

    • [cs.CV]Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval
    Xuri Ge, Fuhai Chen, Joemon M. Jose, Zhilong Ji, Zhongqin Wu, Xiao Liu
    http://arxiv.org/abs/2108.02417v1

    • [cs.CV]Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
    Willy Kuo, Diego Rossinelli, Georg Schulz, Roland H. Wenger, Simone Hieber, Bert Müller, Vartan Kurtcuoglu
    http://arxiv.org/abs/2108.02226v1

    • [cs.CV]The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
    Mathias Unberath, Cong Gao, Yicheng Hu, Max Judish, Russell H Taylor, Mehran Armand, Robert Grupp
    http://arxiv.org/abs/2108.02238v1

    • [cs.CV]Token Shift Transformer for Video Classification
    Hao Zhang, Yanbin Hao, Chong-Wah Ngo
    http://arxiv.org/abs/2108.02432v1

    • [cs.CV]TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding
    Dailan he, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
    http://arxiv.org/abs/2108.02388v1

    • [cs.CV]UPDesc: Unsupervised Point Descriptor Learning for Robust Registration
    Lei Li, Hongbo Fu, Maks Ovsjanikov
    http://arxiv.org/abs/2108.02740v1

    • [cs.CV]UniCon: Unified Context Network for Robust Active Speaker Detection
    Yuanhang Zhang, Susan Liang, Shuang Yang, Xiao Liu, Zhongqin Wu, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2108.02607v1

    • [cs.CV]Unifying Global-Local Representations in Salient Object Detection with Transformer
    Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He
    http://arxiv.org/abs/2108.02759v1

    • [cs.CV]Unifying Nonlocal Blocks for Neural Networks
    Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang
    http://arxiv.org/abs/2108.02451v1

    • [cs.CV]Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks
    Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, H. R. Tizhoosh
    http://arxiv.org/abs/2108.02233v1

    • [cs.CV]Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
    Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao
    http://arxiv.org/abs/2108.02356v1

    • [cs.CV]Video Contrastive Learning with Global Context
    Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li
    http://arxiv.org/abs/2108.02722v1

    • [cs.CV]Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware
    Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
    http://arxiv.org/abs/2108.02671v1

    • [cs.CV]VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
    Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng
    http://arxiv.org/abs/2108.02452v1

    • [cs.CV]Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
    Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng-Tao Shen
    http://arxiv.org/abs/2108.02399v1

    • [cs.CV]dp-GAN : Alleviating Mode Collapse in GAN via Diversity Penalty Module
    Sen Pei, Richard Yi Da Xu, Gaofeng Meng
    http://arxiv.org/abs/2108.02353v1

    • [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/2108.02224v1

    • [cs.CY]R&D evaluation methodology based on group-AHP with uncertainty
    Alberto Garinei, Emanuele Piccioni, Massimiliano Proietti, Andrea Marini, Stefano Speziali, Marcello Marconi, Raffaella Di Sante, Sara Casaccia, Paolo Castellini, Milena Martarelli, Nicola Paone, Gian Marco Revel, Lorenzo Scalise, Marco Arnesano, Paolo Chiariotti, Roberto Montanini, Antonino Quattrocchi, Sergio Silvestri, Giorgio Ficco, Emanuele Rizzuto, Andrea Scorza, Matteo Lancini, Gianluca Rossi, Roberto Marsili, Emanuele Zappa, Salvatore Sciuto
    http://arxiv.org/abs/2108.02595v1

    • [cs.CY]Remote Teaching and Learning in Applied Engineering: A Post-Pandemic Perspective
    Mouhamed Abdulla, Weijing Ma
    http://arxiv.org/abs/2108.02714v1

    • [cs.CY]Shifting Mobility Behaviors in Unprecedented Times: Intentions to Use On-demand Ride Services During the COVID-19 Pandemic
    Maher Said, Jason Soria, Amanda Stathopoulos
    http://arxiv.org/abs/2108.02324v1

    • [cs.CY]Understanding parents’ perceptions of children’s cybersecurity awareness in Norway
    Farzana Quayyum, Jonas Bueie, Daniela S. Cruzes, Letizia Jaccheri, Juan Carlos Torrado Vidal
    http://arxiv.org/abs/2108.02512v1

    • [cs.DC]A Distributed Application Placement and Migration Management Techniques for Edge and Fog Computing Environments
    Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
    http://arxiv.org/abs/2108.02328v1

    • [cs.DC]A tight local algorithm for the minimum dominating set problem in outerplanar graphs
    Marthe Bonamy, Linda Cook, Carla Groenland, Alexandra Wesolek
    http://arxiv.org/abs/2108.02697v1

    • [cs.DC]Crystalline: Fast and Memory Efficient Wait-Free Reclamation
    Ruslan Nikolaev, Binoy Ravindran
    http://arxiv.org/abs/2108.02763v1

    • [cs.DC]Efficient CONGEST Algorithms for the Lovasz Local Lemma
    Yannic Maus, Jara Uitto
    http://arxiv.org/abs/2108.02638v1

    • [cs.DC]JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre
    Genoveva Vargas-Solar, Ali Akoglu, Md Sahil Hassan
    http://arxiv.org/abs/2108.02558v1

    • [cs.DC]Sinkless orientation is hard also in the supported LOCAL model
    Janne H. Korhonen, Ami Paz, Joel Rybicki, Stefan Schmid, Jukka Suomela
    http://arxiv.org/abs/2108.02655v1

    • [cs.DC]Space and Time Bounded Multiversion Garbage Collection
    Naama Ben-David, Guy E. Blelloch, Panagiota Fatourou, Eric Ruppert, Yihan Sun, Yuanhao Wei
    http://arxiv.org/abs/2108.02775v1

    • [cs.DC]Spotify Danceability and Popularity Analysis using SAP
    Virginia Ochi, Ricardo Estrada, Teezal Gaji, Wendy Gadea, Emily Duong
    http://arxiv.org/abs/2108.02370v1

    • [cs.DC]Two-Chains: High Performance Framework for Function Injection and Execution
    Megan Grodowitz, Luis E. Peña, Curtis Dunham, Dong Zhong, Pavel Shamis, Steve Poole
    http://arxiv.org/abs/2108.02253v1

    • [cs.HC]VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models
    Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
    http://arxiv.org/abs/2108.02550v1

    • [cs.IR]Itinerary-aware Personalized Deep Matching at Fliggy
    Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu, Chuanfei Xu
    http://arxiv.org/abs/2108.02343v1

    • [cs.IR]LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
    Ziyi Wang, Wendong Xiao, Yu Li, Zulong Chen, Zhi Jiang
    http://arxiv.org/abs/2108.02344v1

    • [cs.IR]Predicting Music Relistening Behavior Using the ACT-R Framework
    Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
    http://arxiv.org/abs/2108.02138v2

    • [cs.IR]Time-aware Path Reasoning on Knowledge Graph for Recommendation
    Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie
    http://arxiv.org/abs/2108.02634v1

    • [cs.IT]Adaptive Beam Design for V2I Communications using Vehicle Tracking with Extended Kalman Filter
    Seong-Hwan Hyun, Jiho Song, Keunwoo Kim, Jong-Ho Lee, Seong-Cheol Kim
    http://arxiv.org/abs/2108.02584v1

    • [cs.IT]Decentralized Federated Learning with Unreliable Communications
    Hao Ye, Le Liang, Geoffrey Li
    http://arxiv.org/abs/2108.02397v1

    • [cs.IT]Direct Construction of Optimal Z-Complementary Code Sets for all Possible Even Length by Using Pseudo-Boolean Functions
    Gobinda Ghosh, Sudhan Majhi, Palash Sarkar, Ashish Kumar Upadhyay
    http://arxiv.org/abs/2108.02689v1

    • [cs.IT]Foundations of User-Centric Cell-Free Massive MIMO
    Özlem Tuğfe Demir, Emil Björnson, Luca Sanguinetti
    http://arxiv.org/abs/2108.02541v1

    • [cs.IT]IRS-Aided Energy Efficient UAV Communication
    Hyesang Cho, Junil Choi
    http://arxiv.org/abs/2108.02406v1

    • [cs.IT]Information disclosure in the framework of Kolmogorov complexity
    Nikolay Vereshchagin
    http://arxiv.org/abs/2108.01685v2

    • [cs.IT]Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
    Sawan Singh Mahara, Shruti M., B. N. Bharath
    http://arxiv.org/abs/2108.02517v1

    • [cs.IT]The Key Equation for One-Point Codes
    Michael E. O’Sullivan, Maria Bras-Amorós
    http://arxiv.org/abs/2108.02758v1

    • [cs.LG]A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare
    Andrei Velichko
    http://arxiv.org/abs/2108.02428v1

    • [cs.LG]A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain
    Andre Luiz Farias Novaes, Rui Alexandre de Matos Araujo, Jose Figueiredo, Lucas Aguiar Pavanelli
    http://arxiv.org/abs/2108.02628v1

    • [cs.LG]Active Reinforcement Learning over MDPs
    Qi Yang, Peng Yang, Ke Tang
    http://arxiv.org/abs/2108.02323v1

    • [cs.LG]Adapting to Function Difficulty and Growth Conditions in Private Optimization
    Hilal Asi, Daniel Levy, John Duchi
    http://arxiv.org/abs/2108.02391v1

    • [cs.LG]Aspis: A Robust Detection System for Distributed Learning
    Konstantinos Konstantinidis, Aditya Ramamoorthy
    http://arxiv.org/abs/2108.02416v1

    • [cs.LG]Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
    Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad
    http://arxiv.org/abs/2108.02241v1

    • [cs.LG]BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
    Ismail Alkhouri, Alvaro Velasquez, George Atia
    http://arxiv.org/abs/2108.02756v1

    • [cs.LG]Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
    Andrew Wagenmaker, Max Simchowitz, Kevin Jamieson
    http://arxiv.org/abs/2108.02717v1

    • [cs.LG]Emergent Discrete Communication in Semantic Spaces
    Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, Julie Shah
    http://arxiv.org/abs/2108.01828v2

    • [cs.LG]Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems
    Shagufta Henna
    http://arxiv.org/abs/2108.02551v1

    • [cs.LG]FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
    Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang
    http://arxiv.org/abs/2108.02347v1

    • [cs.LG]GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning
    Xubo Yue, Maher Nouiehed, Raed Al Kontar
    http://arxiv.org/abs/2108.02741v1

    • [cs.LG]Growing an architecture for a neural network
    Sergey Khashin, Ekaterina Shemyakova
    http://arxiv.org/abs/2108.02231v1

    • [cs.LG]High dimensional Bayesian Optimization Algorithm for Complex System in Time Series
    Yuyang Chen, Kaiming Bi, Chih-Hang J. Wu, David Ben-Arieh, Ashesh Sinha
    http://arxiv.org/abs/2108.02289v1

    • [cs.LG]Learning to Elect
    Cem Anil, Xuchan Bao
    http://arxiv.org/abs/2108.02768v1

    • [cs.LG]Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection
    Tungyu Wu, Youting Wang
    http://arxiv.org/abs/2108.02501v1

    • [cs.LG]Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty
    Reazul Hasan Russel, Mouhacine Benosman, Jeroen Van Baar, Radu Corcodel
    http://arxiv.org/abs/2108.02701v1

    • [cs.LG]Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
    Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu
    http://arxiv.org/abs/2108.02731v1

    • [cs.LG]On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
    Igor Donevski, Jimmy Jessen Nielsen, Petar Popovski
    http://arxiv.org/abs/2108.02712v1

    • [cs.LG]PI3NN: Prediction intervals from three independently trained neural networks
    Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang
    http://arxiv.org/abs/2108.02327v1

    • [cs.LG]Reducing Unintended Bias of ML Models on Tabular and Textual Data
    Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli
    http://arxiv.org/abs/2108.02662v1

    • [cs.LG]Sparse Communication via Mixed Distributions
    António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
    http://arxiv.org/abs/2108.02658v1

    • [cs.LG]The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
    Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
    http://arxiv.org/abs/2108.02755v1

    • [cs.LO]An ASP-based Solution to the Chemotherapy Treatment Scheduling problem
    Carmine Dodaro, Giuseppe Galatà, Andrea Grioni, Marco Maratea, Marco Mochi, Ivan Porro
    http://arxiv.org/abs/2108.02637v1

    • [cs.PL]Accelerating XOR-based Erasure Coding using Program Optimization Techniques
    Yuya Uezato
    http://arxiv.org/abs/2108.02692v1

    • [cs.RO]A Method to use Nonlinear Dynamics in a Whisker Sensor for Terrain Identification by Mobile Robots
    Zhenhua Yu, S. M. Hadi Sadati, Hasitha Wegiriya, Peter Childs, Thrishantha Nanayakkara
    http://arxiv.org/abs/2108.02267v1

    • [cs.RO]An Interleaved Approach to Trait-Based Task Allocation and Scheduling
    Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova
    http://arxiv.org/abs/2108.02773v1

    • [cs.RO]Cable Driven Rehabilitation Robots: Comparison of Applications and Control Strategies
    Muhammad Shoaib, Ehsan Asadi, Joono Cheong, Alireza Bab-Hadiashar
    http://arxiv.org/abs/2108.02379v1

    • [cs.RO]Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
    Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara S
    c90
    chütt, Fabian Utesch, Birte Kramer, Christian Gutenkunst, Eckard Böde
    http://arxiv.org/abs/2108.02403v1

    • [cs.RO]Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
    Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro
    http://arxiv.org/abs/2108.02665v1

    • [cs.RO]DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
    Valery Ilin, Ivan Kalinov, Pavel Karpyshev, Dzmitry Tsetserukou
    http://arxiv.org/abs/2108.02555v1

    • [cs.RO]Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles
    Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
    http://arxiv.org/abs/2108.02530v1

    • [cs.RO]LEO: Learning Energy-based Models in Graph Optimization
    Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess
    http://arxiv.org/abs/2108.02274v1

    • [cs.RO]LIDAUS: Localization of IoT Device via Anchor UAV SLAM
    Yue Sun, Deqiang Xu, Zhuoming Huang, Honggang Zhang, Xiaohui Liang
    http://arxiv.org/abs/2108.02718v1

    • [cs.RO]Learning to Design and Construct Bridge without Blueprint
    Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu
    http://arxiv.org/abs/2108.02439v1

    • [cs.RO]Mechatronic Investigation of Wound Healing Process by Using Micro Robot
    Abdurrahim Yilmaz, Ali Anil Demircali, Serra Ozkasap, Leyla Yorgancioglu, Huseyin Uvet, Gizem Aydemir
    http://arxiv.org/abs/2108.02162v2

    • [cs.RO]REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs
    Eungchang Mason Lee, Junho Choi, Hyungtae Lim, Hyun Myung
    http://arxiv.org/abs/2108.02590v1

    • [cs.RO]Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets
    Jennifer C. Shih, Laurent El Ghaoui
    http://arxiv.org/abs/2108.02420v1

    • [cs.RO]Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
    Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei Li
    http://arxiv.org/abs/2108.02425v1

    • [cs.RO]Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
    Boshen Niu, Chenxi Wang, Changliu Liu
    http://arxiv.org/abs/2108.02303v1

    • [cs.RO]User modeling for social and affective robots
    Cristina Gena, Federica Cena, Marco Botta, Claudio Mattutino
    http://arxiv.org/abs/2108.02513v1

    • [cs.SD]Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation
    Sarala Padi, Seyed Omid Sadjadi, Dinesh Manocha, Ram D. Sriram
    http://arxiv.org/abs/2108.02510v1

    • [cs.SD]MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
    Emir Demirel, Sven Ahlbäck, Sven Ahlbäck
    http://arxiv.org/abs/2108.02625v1

    • [cs.SD]Performer Identification From Symbolic Representation of Music Using Statistical Models
    Syed Rifat Mahmud Rafee, Gyorgy Fazekas, Geraint A. ~Wiggins
    http://arxiv.org/abs/2108.02576v1

    • [cs.SE]An Abstract View of Big Data Processing Programs
    Joao Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar, Martin A. Musicante
    http://arxiv.org/abs/2108.02582v1

    • [cs.SE]TRANSMUT-SPARK: Transformation Mutation for Apache Spark
    Joao Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar, Martin A. Musicante
    http://arxiv.org/abs/2108.02589v1

    • [cs.SE]Using Metamorphic Relations to Verify and Enhance Artcode Classification
    Liming Xu, Dave Towey, Andrew French, Steve Benford, Zhi Quan Zhou, Tsong Yueh Chen
    http://arxiv.org/abs/2108.02694v1

    • [cs.SI]A Semi-quantitative Covid-19 Individual Risk Model
    Jens Braband, Hendrik Schäbe
    http://arxiv.org/abs/2108.02243v1

    • [cs.SI]Automatically Labeling Low Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors
    Sumit Asthana, Sabrina Tobar Thommel, Aaron Lee Halfaker, Nikola Banovic
    http://arxiv.org/abs/2108.02252v1

    • [cs.SI]Cycle Analysis of Directed Acyclic Graphs
    Vaiva Vasiliauskaite, Tim S. Evans, Paul Expert
    http://arxiv.org/abs/2108.02475v1

    • [econ.TH]Fairer Chess: A Reversal of Two Opening Moves in Chess Creates Balance Between White and Black
    Steven J. Brams, Mehmet S. Ismail
    http://arxiv.org/abs/2108.02547v1

    • [eess.AS]Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System
    Yukiya Hono, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda
    http://arxiv.org/abs/2108.02776v1

    • [eess.SP]Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach
    Mohamed I. AlHajri, Raed M. Shubair, Marwa Chafii
    http://arxiv.org/abs/2108.02257v1

    • [eess.SY]Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
    Mohammed Abouheaf, Wail Gueaieb, Frank Lewis
    http://arxiv.org/abs/2108.02393v1

    • [eess.SY]Safe Motion Planning against Multimodal Distributions based on a Scenario Approach
    Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
    http://arxiv.org/abs/2108.02753v1

    • [hep-ex]A FAIR and AI-ready Higgs Boson Decay Dataset
    Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
    http://arxiv.org/abs/2108.02214v1

    • [hep-th]Deep multi-task mining Calabi-Yau four-folds
    Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti
    http://arxiv.org/abs/2108.02221v1

    • [hep-th]Nonperturbative renormalization for the neural network-QFT correspondence
    Harold Erbin, Vincent Lahoche, Dine Ousmane Samary
    http://arxiv.org/abs/2108.01403v1

    • [math.OC]Advances in Trajectory Optimization for Space Vehicle Control
    Danylo Malyuta, Yue Yu, Purnanand Elango, Behcet Acikmese
    http://arxiv.org/abs/2108.02335v1

    • [math.OC]Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function
    Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani
    http://arxiv.org/abs/2108.02307v1

    • [math.OC]Tikhonov Regularization of Circle-Valued Signals
    Laurent Condat
    http://arxiv.org/abs/2108.02602v1

    • [math.PR]Convergence rate to the Tracy—Widom laws for the largest eigenvalue of sample covariance matrices
    Kevin Schnelli, Yuanyuan Xu
    http://arxiv.org/abs/2108.02728v1

    • [math.ST]Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
    Beibin Li, Yao Lu, Chi Wang, Srikanth Kandula
    http://arxiv.org/abs/2108.02715v1

    • [physics.comp-ph]Redatuming physical systems using symmetric autoencoders
    Pawan Bharadwaj, Matthew Li, Laurent Demanet
    http://arxiv.org/abs/2108.02537v1

    • [physics.soc-ph]A method to compute the communicability of nodes through causal paths in temporal networks
    Agostino Funel
    http://arxiv.org/abs/2108.02664v1

    • [q-bio.QM]Predicting Post-Concussion Syndrome Outcomes with Machine Learning
    Minhong Kim
    http://arxiv.org/abs/2108.02570v1

    • [q-fin.GN]Machine Learning Classification Methods and Portfolio Allocation: An Examination of Market Efficiency
    Yang Bai, Kuntara Pukthuanthong
    http://arxiv.org/abs/2108.02283v1

    • [stat.AP]Covariance Estimation and its Application in Large-Scale Online Controlled Experiments
    Tao Xiong, Yihan Bao, Penglei Zhao, Yong Wang
    http://arxiv.org/abs/2108.02668v1

    • [stat.AP]Divergent Effects of Factors on Crashes under Autonomous and Conventional Driving Modes Using A Hierarchical Bayesian Approach
    Weixi Ren, Bo Yu, Yuren Chen, Kun Gao
    http://arxiv.org/abs/2108.02422v1

    • [stat.AP]PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
    Tiange Wang, Zijun Zhang, Kwok-Leung Tsui
    http://arxiv.org/abs/2108.02424v1

    • [stat.AP]Practices of public procurement and the risk of corrupt behavior before and after the government transition in México
    Andrea Falcón-Cortés, Andrés Aldana, Hernán Larralde
    http://arxiv.org/abs/2108.02653v1

    • [stat.ME]Cumulative differences between subpopulations
    Mark Tygert
    http://arxiv.org/abs/2108.02666v1

    • [stat.ME]Improving the Power of Economic Experiments Using Adaptive Designs
    Sebastian Jobjörnsson, Henning Schaak, Oliver Mußhoff, Tim Friede
    http://arxiv.org/abs/2108.02526v1

    • [stat.ME]Robust Density Power Divergence Estimates for Panel Data Models
    Abhijit Mandal, Beste Hamiye Beyaztas, Soutir Bandyopadhyay
    http://arxiv.org/abs/2108.02408v1

    • [stat.ML]A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities
    Shanaka Perera, Virginia Aglietti, Theodoros Damoulas
    http://arxiv.org/abs/2108.02594v1

    • [stat.ML]AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
    Chihiro Watanabe, Taiji Suzuki
    http://arxiv.org/abs/2108.02431v1

    • [stat.ML]Deep learning for inverse problems with unknown operator
    Miguel del Alamo
    http://arxiv.org/abs/2108.02744v1

    • [stat.ML]Self-supervised optimization of random material microstructures in the small-data regime
    Maximilian Rixner, Phaedon-Stelios Koutsourelakis
    http://arxiv.org/abs/2108.02606v1

    • [stat.ML]Shape Modeling with Spline Partitions
    Shufei Ge, Shijia Wang, Lloyd Elliott
    http://arxiv.org/abs/2108.02507v1