astro-ph.IM - 仪器仪表和天体物理学方法
    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.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.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
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.FA - 泛函演算
    math.ST - 统计理论
    quant-ph - 量子物理
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory
    • [cs.AI]Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
    • [cs.AI]End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings
    • [cs.AI]Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading
    • [cs.AI]SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version)
    • [cs.AI]WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving
    • [cs.CL]4-bit Quantization of LSTM-based Speech Recognition Models
    • [cs.CL]A New Sentence Ordering Method Using BERT Pretrained Model
    • [cs.CL]A Partition Filter Network for Joint Entity and Relation Extraction
    • [cs.CL]Automated Generation of Accurate & Fluent Medical X-ray Reports
    • [cs.CL]CAPE: Context-Aware Private Embeddings for Private Language Learning
    • [cs.CL]Deep learning models are not robust against noise in clinical text
    • [cs.CL]EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
    • [cs.CL]Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
    • [cs.CL]Evaluating the Robustness of Neural Language Models to Input Perturbations
    • [cs.CL]Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
    • [cs.CL]Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR
    • [cs.CL]Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
    • [cs.CL]Improving callsign recognition with air-surveillance data in air-traffic communication
    • [cs.CL]Injecting Text in Self-Supervised Speech Pretraining
    • [cs.CL]Latent Tree Decomposition Parsers for AMR-to-Text Generation
    • [cs.CL]Lingxi: A Diversity-aware Chinese Modern Poetry Generation System
    • [cs.CL]Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
    • [cs.CL]ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
    • [cs.CL]Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
    • [cs.CL]Relation Extraction from Tables using Artificially Generated Metadata
    • [cs.CL]Secoco: Self-Correcting Encoding for Neural Machine Translation
    • [cs.CL]Semantic-based Self-Critical Training For Question Generation
    • [cs.CL]Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
    • [cs.CL]Translation Error Detection as Rationale Extraction
    • [cs.CL]Tree Decomposition Attention for AMR-to-Text Generation
    • [cs.CL]Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
    • [cs.CR]SPARROW: A Novel Covert Communication Scheme Exploiting Broadcast Signals in LTE, 5G & Beyond
    • [cs.CR]Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks
    • [cs.CV]A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images
    • [cs.CV]A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data
    • [cs.CV]A Tutorial on Learning Disentangled Representations in the Imaging Domain
    • [cs.CV]An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
    • [cs.CV]Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
    • [cs.CV]Binocular Mutual Learning for Improving Few-shot Classification
    • [cs.CV]DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
    • [cs.CV]DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction
    • [cs.CV]Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
    • [cs.CV]Detection and Continual Learning of Novel Face Presentation Attacks
    • [cs.CV]Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
    • [cs.CV]FOVEA: Foveated Image Magnification for Autonomous Navigation
    • [cs.CV]Fast Rule-Based Clutter Detection in Automotive Radar Data
    • [cs.CV]ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
    • [cs.CV]Learning Cross-modal Contrastive Features for Video Domain Adaptatio
    85d
    n
    • [cs.CV]Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method
    • [cs.CV]MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
    • [cs.CV]Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition
    • [cs.CV]Rethinking the Aligned and Misaligned Features in One-stage Object Detection
    • [cs.CV]TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
    • [cs.CV]TIMo — A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
    • [cs.CY]Quantum Machine Learning for Health State Diagnosis and Prognostics
    • [cs.DC]A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays
    • [cs.DC]Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
    • [cs.DC]Machine Learning for Performance Prediction of Spark Cloud Applications
    • [cs.DC]NimbleChain: Low-latency consensusless cryptocurrencies in general-purpose permissionless blockchains
    • [cs.DC]Optimizing the hybrid parallelization of BHAC
    • [cs.DL]A map of Digital Humanities research across bibliographic data sources
    • [cs.DS]An Introduction to Hamiltonian Monte Carlo Method for Sampling
    • [cs.HC]Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments
    • [cs.IR]Dealing with Typos for BERT-based Passage Retrieval and Ranking
    • [cs.IR]GLocal-K: Global and Local Kernels for Recommender Systems
    • [cs.IT]Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders
    • [cs.IT]Explicit Good Subspace-metric and Subset-metric Codes as Insertion-deletion Codes
    • [cs.IT]Group Testing with Non-identical Infection Probabilities
    • [cs.IT]Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-free Deep Reinforcement Learning Approach
    • [cs.LG]A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
    • [cs.LG]A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation
    • [cs.LG]A framework for massive scale personalized promotion
    • [cs.LG]Active Inference for Stochastic Control
    • [cs.LG]An Adaptive Clustering Approach for Accident Prediction
    • [cs.LG]Anomaly Detection on IT Operation Series via Online Matrix Profile
    • [cs.LG]Application of Classification and Feature Selection in Building Energy Simulations
    • [cs.LG]Canoe : A System for Collaborative Learning for Neural Nets
    • [cs.LG]Continual learning under domain transfer with sparse synaptic bursting
    • [cs.LG]Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
    • [cs.LG]Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
    • [cs.LG]DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
    • [cs.LG]FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
    • [cs.LG]Graph-based Incident Aggregation for Large-Scale Online Service Systems
    • [cs.LG]Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
    • [cs.LG]Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder
    • [cs.LG]LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links
    • [cs.LG]Learning primal-dual sparse kernel machines
    • [cs.LG]Learning to Give Checkable Answers with Prover-Verifier Games
    • [cs.LG]Man versus Machine: AutoML and Human Experts’ Role in Phishing Detection
    • [cs.LG]Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
    • [cs.LG]Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
    • [cs.LG]Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems
    • [cs.LG]Reinforcement Learning-powered Semantic Communication via Semantic Similarity
    • [cs.LG]Subjective Learning for Open-Ended Data
    • [cs.LG]The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
    • [cs.LG]This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
    • [cs.LG]Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
    • [cs.LO]Geometric Models for (Temporally) Attributed Description Logics
    • [cs.NE]Recent Developments in Program Synthesis with Evolutionary Algorithms
    • [cs.NI]Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
    • [cs.RO]Dual-arm Coordinated Manipulation for Object Twisting with Human Intelligence
    • [cs.RO]Identification of Vehicle Dynamics Parameters Using Simulation-based Inference
    • [cs.RO]Lower-limb kinematics and kinetics during continuously varying human locomotion
    • [cs.RO]Modelling and Estimation of Human Walking Gait for Physical Human-Robot Interaction
    • [cs.RO]Predicting Stable Configurations for Semantic Placement of Novel Objects
    • [cs.RO]Robust Motion Planning in the Presence of Estimation Uncertainty
    • [cs.RO]UNICEF Guidance on AI for Children: Application to the Design of a Social Robot For and With Autistic Children
    • [cs.SD]Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
    • [cs.SD]Music Composition with Deep Learning: A Review
    • [cs.SD]Task-aware Warping Factors in Mask-based Speech Enhancement
    • [cs.SE]Lyra: A Benchmark for Turducken-Style Code Generation
    • [cs.SI]COVID-19 reproduction number estimated from SEIR model: association with people’s mobility in 2020
    • [cs.SI]Changes in Twitter geolocations: Insights and suggestions for future usage
    • [cs.SI]Prior Signal Editing for Graph Filter Posterior Fairness Constraints
    • [eess.IV]A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays
    • [eess.IV]CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
    • [eess.IV]Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data
    • [eess.IV]Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation
    • [eess.IV]SVM Classifier on Chip for Melanoma Detection
    • [eess.IV]Ultrafast Focus Detection for Automated Microscopy
    • [eess.SP]A Guide to Reproducible Research in Signal Processing and Machine Learning
    • [eess.SP]Artificial Neural Networks Based Analysis of BLDC Motor Speed Control
    • [eess.SP]Multiple Hypothesis Testing Framework for Spatial Signals
    • [math.FA]Existence of Uncertainty Minimizers for the Continuous Wavelet Transform
    • [math.ST]Chi-squared test for hypothesis testing of homogeneity
    • [math.ST]Limit theorems for dependent combinatorial data, with applications in statistical inference
    • [quant-ph]Quantum Sub-Gaussian Mean Estimator
    • [stat.ME]A Parameter Estimation Method for Multivariate Aggregated Hawkes Processes
    • [stat.ME]A class of dependent Dirichlet processes via latent multinomial processes
    • [stat.ME]Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior
    • [stat.ME]Contaminated Gibbs-type priors
    • [stat.ME]Correcting spatial Gaussian process parameter and prediction variance estimation under informative sampling
    • [stat.ME]Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data
    • [stat.ME]Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations
    • [stat.ME]Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic
    • [stat.ML]A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
    • [stat.ML]Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach

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

    • [astro-ph.IM]SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory
    Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, KD Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi
    http://arxiv.org/abs/2108.12421v1

    • [cs.AI]Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
    Mourad Ouziri, Sabiha Tahrat, Salima Benbernou, Mourad Ouzirri
    http://arxiv.org/abs/2108.12149v1

    • [cs.AI]End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings
    Andrew Golczynski, John A. Emanuello
    http://arxiv.org/abs/2108.12276v1

    • [cs.AI]Integrating Heuristics and Learning in a Computational Architecture for Cognitive Trading
    Remo Pareschi, Federico Zappone
    http://arxiv.org/abs/2108.12333v1

    • [cs.AI]SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version)
    Diego Calvanese, Alessandro Gianola, Andrea Mazzullo, Marco Montali
    http://arxiv.org/abs/2108.12330v1

    • [cs.AI]WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving
    Arjit Sharma, Sahil Sharma
    http://arxiv.org/abs/2108.12134v1

    • [cs.CL]4-bit Quantization of LSTM-based Speech Recognition Models
    Andrea Fasoli, Chia-Yu Chen, Mauricio Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
    http://arxiv.org/abs/2108.12074v1

    • [cs.CL]A New Sentence Ordering Method Using BERT Pretrained Model
    Melika Golestani, Seyedeh Zahra Razavi, Heshaam Faili
    http://arxiv.org/abs/2108.11994v1

    • [cs.CL]A Partition Filter Network for Joint Entity and Relation Extraction
    Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei
    http://arxiv.org/abs/2108.12202v1

    • [cs.CL]Automated Generation of Accurate & Fluent Medical X-ray Reports
    Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng
    http://arxiv.org/abs/2108.12126v1

    • [cs.CL]CAPE: Context-Aware Private Embeddings for Private Language Learning
    Richard Plant, Dimitra Gkatzia, Valerio Giuffrida
    http://arxiv.org/abs/2108.12318v1

    • [cs.CL]Deep learning models are not robust against noise in clinical text
    Milad Moradi, Kathrin Blagec, Matthias Samwald
    http://arxiv.org/abs/2108.12242v1

    • [cs.CL]EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
    Taewoon Kim, Piek Vossen
    http://arxiv.org/abs/2108.12009v1

    • [cs.CL]Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
    Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang
    http://arxiv.org/abs/2108.11992v1

    • [cs.CL]Evaluating the Robustness of Neural Language Models to Input Perturbations
    Milad Moradi, Matthias Samwald
    http://arxiv.org/abs/2108.12237v1

    • [cs.CL]Exploring the Capacity of a Large-scale Masked Language Model to Recognize Grammatical Errors
    Ryo Nagata, Manabu Kimura, Kazuaki Hanawa
    http://arxiv.org/abs/2108.12216v1

    • [cs.CL]Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR
    Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlicek, Oliver Ohneiser, Hartmut Helmke, Saeed Sarfjoo, Iuliia Nigmatulina
    http://arxiv.org/abs/2108.12175v1

    • [cs.CL]Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
    Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M Phillips, Kai-Wei Chang
    http://arxiv.org/abs/2108.12084v1

    • [cs.CL]Improving callsign recognition with air-surveillance data in air-traffic communication
    Iuliia Nigmatulina, Rudolf Braun, Juan Zuluaga-Gomez, Petr Motlicek
    http://arxiv.org/abs/2108.12156v1

    • [cs.CL]Injecting Text in Self-Supervised Speech Pretraining
    Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Gary Wang, Pedro Moreno
    http://arxiv.org/abs/2108.12226v1

    • [cs.CL]Latent Tree Decomposition Parsers for AMR-to-Text Generation
    Lisa Jin, Daniel Gildea
    http://arxiv.org/abs/2108.12304v1

    • [cs.CL]Lingxi: A Diversity-aware Chinese Modern Poetry Generation System
    Xinran Zhang, Maosong Sun, Jiafeng Liu, Xiaobing Li
    http://arxiv.org/abs/2108.12108v1

    • [cs.CL]Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
    Adeep Hande, Karthik Puranik, Konthala Yasaswini, Ruba Priyadharshini, Sajeetha Thavareesan, Anbukkarasi Sampath, Kogilavani Shanmugavadivel, Durairaj Thenmozhi, Bharathi Raja Chakravarthi
    http://arxiv.org/abs/2108.12177v1

    • [cs.CL]ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
    Iftitahu Ni’mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
    http://arxiv.org/abs/2108.12229v1

    • [cs.CL]Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
    Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski
    http://arxiv.org/abs/2108.12189v1

    • [cs.CL]Relation Extraction from Tables using Artificially Generated Metadata
    Gaurav singh, Siffi Singh, Joshua Wong, Amir Saffari
    http://arxiv.org/abs/2108.10750v2

    • [cs.CL]Secoco: Self-Correcting Encoding for Neural Machine Translation
    Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong
    http://arxiv.org/abs/2108.12137v1

    • [cs.CL]Semantic-based Self-Critical Training For Question Generation
    Loïc, Kwate Dassi
    http://arxiv.org/abs/2108.12026v1

    • [cs.CL]Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
    Ofir Press, Noah A. Smith, Mike Lewis
    http://arxiv.org/abs/2108.12409v1

    • [cs.CL]Translation Error Detection as Rationale Extraction
    Marina Fomicheva, Lucia Specia, Nikolaos Aletras
    http://arxiv.org/abs/2108.12197v1

    • [cs.CL]Tree Decomposition Attention for AMR-to-Text Generation
    Lisa Jin, Daniel Gildea
    http://arxiv.org/abs/2108.12300v1

    • [cs.CL]Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
    Ru Yang, Maryam Edalati
    http://arxiv.org/abs/2108.12061v1

    • [cs.CR]SPARROW: A Novel Covert Communication Scheme Exploiting Broadcast Signals in LTE, 5G & Beyond
    Reza Soosahabi
    http://arxiv.org/abs/2108.12161v1

    • [cs.CR]Superstring-Based Sequence Obfuscation to Thwart Pattern Matching Attacks
    Bo Guan, Nazanin Takbiri, Dennis Goeckel, Amir Houmansadr, Hossein Pishro-Nik
    http://arxiv.org/abs/2108.12336v1

    • [cs.CV]A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images
    Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo
    http://arxiv.org/abs/2108.12151v1

    • [cs.CV]A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data
    Muhammad Mobaidul Islam, Abdullah Al Redwan Newaz, Ali Karimoddini
    http://arxiv.org/abs/2108.12375v1

    • [cs.CV]A Tutorial on Learning Disentangled Representations in the Imaging Domain
    Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O’Neil, Sotirios A. Tsaftaris
    http://arxiv.org/abs/2108.12043v1

    • [cs.CV]An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences
    Alessandro Bruno
    http://arxiv.org/abs/2108.12068v1

    • [cs.CV]Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
    Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad
    http://arxiv.org/abs/2108.12159v1

    • [cs.CV]Binocular Mutual Learning for Improving Few-shot Classification
    Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang
    http://arxiv.org/abs/2108.12104v1

    • [cs.CV]DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
    Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
    http://arxiv.org/abs/2108.12141v1

    • [cs.CV]DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction
    Shihao Zhou, Mengxi Jiang, Shanshan Cai, Yunqi Lei
    http://arxiv.org/abs/2108.12384v1

    • [cs.CV]Densely-Populated Traffic Detection using YOLOv5 and Non-Maximum Suppression Ensembling
    Raian Rahman, Zadid Bin Azad, Md. Bakhtiar Hasan
    http://arxiv.org/abs/2108.12118v1

    • [cs.CV]Detection and Continual Learning of Novel Face Presentation Attacks
    Mohammad Rostami, Leonidas Spinoulas, Mohamed Hussein, Joe Mathai, Wael Abd-Almageed
    http://arxiv.org/abs/2108.12081v1

    • [cs.CV]Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
    Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
    http://arxiv.org/abs/2108.11996v1

    • [cs.CV]FOVEA: Foveated Image Magnification for Autonomous Navigation
    Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan
    http://arxiv.org/abs/2108.12102v1

    • [cs.CV]Fast Rule-Based Clutter Detection in Automotive Radar Data
    Johannes Kopp, Dominik Kellner, Aldi Piroli, Klaus Dietmayer
    http://arxiv.org/abs/2108.12224v1

    • [cs.CV]ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
    Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Yu
    http://arxiv.org/abs/2108.12382v1

    • [cs.CV]Learning Cross-modal Contrastive Features for Video Domain Adaptatio
    85d
    n
    Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
    http://arxiv.org/abs/2108.11974v1

    • [cs.CV]Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method
    Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo
    http://arxiv.org/abs/2108.12072v1

    • [cs.CV]MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
    Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
    http://arxiv.org/abs/2108.12178v1

    • [cs.CV]Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition
    Tatpong Katanyukul, Pisit Nakjai
    http://arxiv.org/abs/2108.12115v1

    • [cs.CV]Rethinking the Aligned and Misaligned Features in One-stage Object Detection
    Yang Yang, Min Li, Bo Meng, Junxing Ren, Degang Sun, Zihao Huang
    http://arxiv.org/abs/2108.12176v1

    • [cs.CV]TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
    Fanxin Xu, Xiangkui Li, Hang Yang, Yali Wang, Wei Xiang
    http://arxiv.org/abs/2108.12313v1

    • [cs.CV]TIMo — A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
    Pascal Schneider, Yuriy Anisimov, Raisul Islam, Bruno Mirbach, Jason Rambach, Frédéric Grandidier, Didier Stricker
    http://arxiv.org/abs/2108.12196v1

    • [cs.CY]Quantum Machine Learning for Health State Diagnosis and Prognostics
    Gabriel San Martín, Enrique López Droguett
    http://arxiv.org/abs/2108.12265v1

    • [cs.DC]A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays
    Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
    http://arxiv.org/abs/2108.12188v1

    • [cs.DC]Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
    Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
    http://arxiv.org/abs/2108.12211v1

    • [cs.DC]Machine Learning for Performance Prediction of Spark Cloud Applications
    Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Marco Lattuada, Eugenio Gianniti, Marjan Hosseini, Danilo Ardagna
    http://arxiv.org/abs/2108.12214v1

    • [cs.DC]NimbleChain: Low-latency consensusless cryptocurrencies in general-purpose permissionless blockchains
    Paulo Silva, Miguel Matos, João Barreto
    http://arxiv.org/abs/2108.12387v1

    • [cs.DC]Optimizing the hybrid parallelization of BHAC
    Salvatore Cielo, Oliver Porth, Luigi Iapichino, Anupam Karmakar, Hector Olivares, Chun Xia
    http://arxiv.org/abs/2108.12240v1

    • [cs.DL]A map of Digital Humanities research across bibliographic data sources
    Gianmarco Spinaci, Giovanni Colavizza, Silvio Peroni
    http://arxiv.org/abs/2108.12190v1

    • [cs.DS]An Introduction to Hamiltonian Monte Carlo Method for Sampling
    Nisheeth K. Vishnoi
    http://arxiv.org/abs/2108.12107v1

    • [cs.HC]Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments
    Samaikya Valluripally, Vaibhav Akashe, Michael Fisher, David Falana, Khaza Anuarul Hoque, Prasad Calyam
    http://arxiv.org/abs/2108.12315v1

    • [cs.IR]Dealing with Typos for BERT-based Passage Retrieval and Ranking
    Shengyao Zhuang, Guido Zuccon
    http://arxiv.org/abs/2108.12139v1

    • [cs.IR]GLocal-K: Global and Local Kernels for Recommender Systems
    Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon
    http://arxiv.org/abs/2108.12184v1

    • [cs.IT]Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders
    Mohamed Yaoumi, Jeremy Nadal, Elsa Dupraz, Frederic Guilloud, Francois Leduc-Primeau
    http://arxiv.org/abs/2108.11812v2

    • [cs.IT]Explicit Good Subspace-metric and Subset-metric Codes as Insertion-deletion Codes
    Hao Chen
    http://arxiv.org/abs/2108.12334v1

    • [cs.IT]Group Testing with Non-identical Infection Probabilities
    Mustafa Doger, Sennur Ulukus
    http://arxiv.org/abs/2108.12418v1

    • [cs.IT]Semi-Decentralized Network Slicing for Reliable V2V Service Provisioning: A Model-free Deep Reinforcement Learning Approach
    Jie Mei, Xianbin Wang, Kan Zheng
    http://arxiv.org/abs/2108.12014v1

    • [cs.LG]A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
    Md Geaur Rahman, Md Zahidul Islam
    http://arxiv.org/abs/2108.12293v1

    • [cs.LG]A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation
    Beatriz Cabrero Daniel, Ricardo Marques, Ludovic Hoyet, Julien Pettré, Josep Blat
    http://arxiv.org/abs/2108.12346v1

    • [cs.LG]A framework for massive scale personalized promotion
    Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, YiFan Peng, Jinjie Gu
    http://arxiv.org/abs/2108.12100v1

    • [cs.LG]Active Inference for Stochastic Control
    Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi
    http://arxiv.org/abs/2108.12245v1

    • [cs.LG]An Adaptive Clustering Approach for Accident Prediction
    Rajjat Dadwal, Thorben Funke, Elena Demidova
    http://arxiv.org/abs/2108.12308v1

    • [cs.LG]Anomaly Detection on IT Operation Series via Online Matrix Profile
    Shi-Ying Lan, Run-Qing Chen, Wan-Lei Zhao
    http://arxiv.org/abs/2108.12093v1

    • [cs.LG]Application of Classification and Feature Selection in Building Energy Simulations
    Fatemeh Shahsavari, Zohreh Shaghaghian
    http://arxiv.org/abs/2108.12363v1

    • [cs.LG]Canoe : A System for Collaborative Learning for Neural Nets
    Harshit Daga, Yiwen Chen, Aastha Agrawal, Ada Gavrilovska
    http://arxiv.org/abs/2108.12124v1

    • [cs.LG]Continual learning under domain transfer with sparse synaptic bursting
    Shawn L. Beaulieu, Jeff Clune, Nick Cheney
    http://arxiv.org/abs/2108.12056v1

    • [cs.LG]Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
    Sajad Darabi, Shayan Fazeli, Ali Pazoki, Sriram Sankararaman, Majid Sarrafzadeh
    http://arxiv.org/abs/2108.12296v1

    • [cs.LG]Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting
    Ashutosh Sao, Nicolas Tempelmeier, Elena Demidova
    http://arxiv.org/abs/2108.12352v1

    • [cs.LG]DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
    Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi
    http://arxiv.org/abs/2108.12370v1

    • [cs.LG]FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
    Arpita Gang, Waheed U. Bajwa
    http://arxiv.org/abs/2108.12373v1

    • [cs.LG]Graph-based Incident Aggregation for Large-Scale Online Service Systems
    Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu
    http://arxiv.org/abs/2108.12179v1

    • [cs.LG]Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
    Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang
    http://arxiv.org/abs/2108.12238v1

    • [cs.LG]Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder
    Rachel Cooper, Andrey A. Popov, Adrian Sandu
    http://arxiv.org/abs/2108.12344v1

    • [cs.LG]LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links
    Akihito Sudo, Teng Teck Hou, Masaki Yamaguchi, Yoshinori Tone
    http://arxiv.org/abs/2108.12165v1

    • [cs.LG]Learning primal-dual sparse kernel machines
    Riikka Huusari, Sahely Bhadra, Cécile Capponi, Hachem Kadri, Juho Rousu
    http://arxiv.org/abs/2108.12199v1

    • [cs.LG]Learning to Give Checkable Answers with Prover-Verifier Games
    Cem Anil, Guodong Zhang, Yuhuai Wu, Roger Grosse
    http://arxiv.org/abs/2108.12099v1

    • [cs.LG]Man versus Machine: AutoML and Human Experts’ Role in Phishing Detection
    Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha
    http://arxiv.org/abs/2108.12193v1

    • [cs.LG]Parallel Machine Learning for Forecasting the Dynamics of Complex Networks
    Keshav Srinivasan, Nolan Coble, Joy Hamlin, Thomas Antonsen, Edward Ott, Michelle Girvan
    http://arxiv.org/abs/2108.12129v1

    • [cs.LG]Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
    Jian-Feng Cai, Jingyang Li, Dong Xia
    http://arxiv.org/abs/2108.12163v1

    • [cs.LG]Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems
    Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
    http://arxiv.org/abs/2108.12298v1

    • [cs.LG]Reinforcement Learning-powered Semantic Communication via Semantic Similarity
    Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang
    http://arxiv.org/abs/2108.12121v1

    • [cs.LG]Subjective Learning for Open-Ended Data
    Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
    http://arxiv.org/abs/2108.12113v1

    • [cs.LG]The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
    Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
    http://arxiv.org/abs/2108.12284v1

    • [cs.LG]This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
    Srishti Gautam, Marina M. -C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
    http://arxiv.org/abs/2108.12204v1

    • [cs.LG]Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks
    Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee
    http://arxiv.org/abs/2108.12001v1

    • [cs.LO]Geometric Models for (Temporally) Attributed Description Logics
    Camille Bourgaux, Ana Ozaki, Jeff Z. Pan
    http://arxiv.org/abs/2108.12239v1

    • [cs.NE]Recent Developments in Program Synthesis with Evolutionary Algorithms
    Dominik Sobania, Dirk Schweim, Franz Rothlauf
    http://arxiv.org/abs/2108.12227v1

    • [cs.NI]Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
    Eike-Manuel Bansbach, Victor Eliachevitch, Laurent Schmalen
    http://arxiv.org/abs/2108.12198v1

    • [cs.RO]Dual-arm Coordinated Manipulation for Object Twisting with Human Intelligence
    Weibang Bai, Ningshan Zhang, Baoru Huang, Ziwei Wang, Francesco Cursi, Ya-Yen Tsai, Bo Xiao, Eric Yeatman
    http://arxiv.org/abs/2108.12007v1

    • [cs.RO]Identification of Vehicle Dynamics Parameters Using Simulation-based Inference
    Ali Boyali, Simon Thompson, David Robert Wong
    http://arxiv.org/abs/2108.12114v1

    • [cs.RO]Lower-limb kinematics and kinetics during continuously varying human locomotion
    Emma Reznick, Kyle R. Embry, Ross Neuman, Edgar Bolívar-Nieto, Nicholas P. Fey, Robert D. Gregg
    http://arxiv.org/abs/2108.12307v1

    • [cs.RO]Modelling and Estimation of Human Walking Gait for Physical Human-Robot Interaction
    Yash Vyas, Mike Allenspach, Christian Lanegger, Roland Siegwart, Marco Tognon
    http://arxiv.org/abs/2108.12358v1

    • [cs.RO]Predicting Stable Configurations for Semantic Placement of Novel Objects
    Chris Paxton, Chris Xie, Tucker Hermans, Dieter Fox
    http://arxiv.org/abs/2108.12062v1

    • [cs.RO]Robust Motion Planning in the Presence of Estimation Uncertainty
    Lars Lindemann, Matthew Cleaveland, Yiannis Kantaros, George J. Pappas
    http://arxiv.org/abs/2108.11983v1

    • [cs.RO]UNICEF Guidance on AI for Children: Application to the Design of a Social Robot For and With Autistic Children
    Séverin Lemaignan, Nigel Newbutt, Louis Rice, Joe Daly, Vicky Charisi
    http://arxiv.org/abs/2108.12166v1

    • [cs.SD]Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
    Yuzi Yan, Wei-Qiang Zhang, Michael T. Johnson
    http://arxiv.org/abs/2108.12105v1

    • [cs.SD]Music Composition with Deep Learning: A Review
    Carlos Hernandez-Olivan, Jose R. Beltran
    http://arxiv.org/abs/2108.12290v1

    • [cs.SD]Task-aware Warping Factors in Mask-based Speech Enhancement
    Qiongqiong Wang, Kong Aik Lee, Takafumi Koshinaka, Koji Okabe, Hitoshi Yamamoto
    http://arxiv.org/abs/2108.12128v1

    • [cs.SE]Lyra: A Benchmark for Turducken-Style Code Generation
    Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang
    http://arxiv.org/abs/2108.12144v1

    • [cs.SI]COVID-19 reproduction number estimated from SEIR model: association with people’s mobility in 2020
    Tatiana Petrova, Dmitri Soshnikov, Andrey Grunin
    http://arxiv.org/abs/2108.12222v1

    • [cs.SI]Changes in Twitter geolocations: Insights and suggestions for future usage
    Anna Kruspe, Matthias Häberle, Eike J. Hoffmann, Samyo Rode-Hasinger, Karam Abdulahhad, Xiao Xiang Zhu
    http://arxiv.org/abs/2108.12251v1

    • [cs.SI]Prior Signal Editing for Graph Filter Posterior Fairness Constraints
    Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas Symeonidis
    http://arxiv.org/abs/2108.12397v1

    • [eess.IV]A Novel Hierarchical Light Field Coding Scheme Based on Hybrid Stacked Multiplicative Layers and Fourier Disparity Layers for Glasses-Free 3D Displays
    Joshitha Ravishankar, Mansi Sharma
    http://arxiv.org/abs/2108.12399v1

    • [eess.IV]CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
    Wenxuan Zou, Muyi Sun
    http://arxiv.org/abs/2108.12173v1

    • [eess.IV]Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data
    Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo
    http://arxiv.org/abs/2108.12083v1

    • [eess.IV]Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation
    Cam Nguyen, Zuhayr Asad, Yuankai Huo
    http://arxiv.org/abs/2108.11993v1

    • [eess.IV]SVM Classifier on Chip for Melanoma Detection
    Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
    http://arxiv.org/abs/2108.11957v1

    • [eess.IV]Ultrafast Focus Detection for Automated Microscopy
    Maksim Levental, Ryan Chard, Gregg A. Wildenberg
    http://arxiv.org/abs/2108.12050v1

    • [eess.SP]A Guide to Reproducible Research in Signal Processing and Machine Learning
    Joseph Shenouda, Waheed U. Bajwa
    http://arxiv.org/abs/2108.12383v1

    • [eess.SP]Artificial Neural Networks Based Analysis of BLDC Motor Speed Control
    Porselvi T, Sai Ganesh CS, Aouthithiye Barathwaj SR Y
    http://arxiv.org/abs/2108.12320v1

    • [eess.SP]Multiple Hypothesis Testing Framework for Spatial Signals
    Martin Gölz, Abdelhak M. Zoubir, Visa Koivunen
    http://arxiv.org/abs/2108.12314v1

    • [math.FA]Existence of Uncertainty Minimizers for the Continuous Wavelet Transform
    Simon Halvdansson, Jan-Fredrik Olsen, Nir Sochen, Ron Levie
    http://arxiv.org/abs/2108.12018v1

    • [math.ST]Chi-squared test for hypothesis testing of homogeneity
    Mikhail Ermakov
    http://arxiv.org/abs/2108.11980v1

    • [math.ST]Limit theorems for dependent combinatorial data, with applications in statistical inference
    Somabha Mukherjee
    http://arxiv.org/abs/2108.12233v1

    • [quant-ph]Quantum Sub-Gaussian Mean Estimator
    Yassine Hamoudi
    http://arxiv.org/abs/2108.12172v1

    • [stat.ME]A Parameter Estimation Method for Multivariate Aggregated Hawkes Processes
    Leigh Shlomovich, Edward A. K. Cohen, Niall Adams
    http://arxiv.org/abs/2108.12357v1

    • [stat.ME]A class of dependent Dirichlet processes via latent multinomial processes
    Luis E. Nieto-Barajas
    http://arxiv.org/abs/2108.12396v1

    • [stat.ME]Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior
    Burak Cevat Civek, Emre Ertin
    http://arxiv.org/abs/2108.12398v1

    • [stat.ME]Contaminated Gibbs-type priors
    Federico Camerlenghi, Riccardo Corradin, Andrea Ongaro
    http://arxiv.org/abs/2108.11997v1

    • [stat.ME]Correcting spatial Gaussian process parameter and prediction variance estimation under informative sampling
    Erin M. Schliep, Christopher K. Wikle, Ranadeep Daw
    http://arxiv.org/abs/2108.12354v1

    • [stat.ME]Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data
    Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
    http://arxiv.org/abs/2108.12208v1

    • [stat.ME]Selection of inverse gamma and half-t priors for hierarchical models: sensitivity and recommendations
    Zachary Brehm, Aaron Wagner, Erik VonKaenel, David Burton, Samuel J. Weisenthal, Martin Cole, Yiping Pang, Sally W. Thurston
    http://arxiv.org/abs/2108.12045v1

    • [stat.ME]Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic
    Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng
    http://arxiv.org/abs/2108.12329v1

    • [stat.ML]A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
    Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah
    http://arxiv.org/abs/2108.12250v1

    • [stat.ML]Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
    Sai Li, Tianxi Cai, Rui Duan
    http://arxiv.org/abs/2108.12112v1