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.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.GR - 计算机图形学
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SC - 符号计算
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    econ.GN - 一般经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.ao-ph - 大气和海洋物理
    physics.geo-ph - 地球物理学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-bio.OT - 其他定量生物学
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]A new neighborhood structure for job shop scheduling problems
    • [cs.AI]An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
    • [cs.AI]Aspartix-V21
    • [cs.AI]Dutch Comfort: The limits of AI governance through municipal registers
    • [cs.AI]ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models
    • [cs.AI]Fudge: A light-weight solver for abstract argumentation based on SAT reductions
    • [cs.AI]HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
    • [cs.AI]On the impact of MDP design for Reinforcement Learning agents in Resource Management
    • [cs.AI]Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
    • [cs.AI]Sequential Attention Module for Natural Language Processing
    • [cs.AI]Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
    • [cs.AI]The pyglaf argumentation reasoner (ICCMA2021)
    • [cs.AI]ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
    • [cs.CL]A Scalable AI Approach for Clinical Trial Cohort Optimization
    • [cs.CL]Aspect-Controllable Opinion Summarization
    • [cs.CL]Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
    • [cs.CL]Countering Online Hate Speech: An NLP Perspective
    • [cs.CL]Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain
    • [cs.CL]Datasets: A Community Library for Natural Language Processing
    • [cs.CL]Detecting Inspiring Content on Social Media
    • [cs.CL]Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
    • [cs.CL]Don’t Go Far Off: An Empirical Study on Neural Poetry Translation
    • [cs.CL]Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
    • [cs.CL]Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
    • [cs.CL]End-to-end Neural Information Status Classification
    • [cs.CL]Exploiting Reasoning Chains for Multi-hop Science Question Answering
    • [cs.CL]Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
    • [cs.CL]FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments
    • [cs.CL]FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
    • [cs.CL]GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
    • [cs.CL]Generate & Rank: A Multi-task Framework for Math Word Problems
    • [cs.CL]How much pretraining data do language models need to learn syntax?
    • [cs.CL]Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles
    • [cs.CL]IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
    • [cs.CL]Infusing Future Information into Monotonic Attention Through Language Models
    • [cs.CL]Integrating Regular Expressions with Neural Networks via DFA
    • [cs.CL]Joint model for intent and entity recognition
    • [cs.CL]Learning grounded word meaning representations on similarity graphs
    • [cs.CL]Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
    • [cs.CL]NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
    • [cs.CL]PAUSE: Positive and Annealed Unlabeled Sentence Embedding
    • [cs.CL]Paraphrase Generation as Unsupervised Machine Translation
    • [cs.CL]Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
    • [cs.CL]Rare Words Degenerate All Words
    • [cs.CL]Revisiting Context Choices for Context-aware Machine Translation
    • [cs.CL]SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of “Subjectivity” and “Identity Terms”
    • [cs.CL]Text-to-Table: A New Way of Information Extraction
    • [cs.CL]Unsupervised Conversation Disentanglement through Co-Training
    • [cs.CL]When differential privacy meets NLP: The devil is in the detail
    • [cs.CR]Blockchains through ontologies: the case study of the Ethereum ERC721 standard in \ONT{} (Extended Version)
    • [cs.CV]Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
    • [cs.CV]Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
    • [cs.CV]CIM: Class-Irrelevant Mapping for Few-Shot Classification
    • [cs.CV]CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
    • [cs.CV]Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation
    • [cs.CV]DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
    • [cs.CV]Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors
    • [cs.CV]Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
    • [cs.CV]Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
    • [cs.CV]Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
    • [cs.CV]FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
    • [cs.CV]GCsT: Graph Convolutional Skeleton Transformer for Action Recognition
    • [cs.CV]Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
    • [cs.CV]Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
    • [cs.CV]ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification
    • [cs.CV]Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
    • [cs.CV]Improving Dietary Assessment Via Integrated Hierarchy Food Classification
    • [cs.CV]Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
    • [cs.CV]Journalistic Guidelines Aware News Image Captioning
    • [cs.CV]Kinship Verification Based on Cross-Generation Feature Interaction Learning
    • [cs.CV]Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
    • [cs.CV]Learning to Combine the Modalities of Language and Video for Temporal Moment Localization
    • [cs.CV]On the Out-of-distribution Generalization of Probabilistic Image Modelling
    • [cs.CV]PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
    • [cs.CV]Pano3D: A Holistic Benchmark and a Solid Baseline for 今日学术视野(2021.9.9) - 图1 Depth Estimation
    • [cs.CV]Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
    • [cs.CV]Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
    • [cs.CV]Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
    • [cs.CV]Robustness and Generalization via Generative Adversarial Training
    • [cs.CV]STRIVE: Scene Text Replacement In Videos
    • [cs.CV]Self-supervised Tumor Segmentation through Layer Decomposition
    • [cs.CV]Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
    • [cs.CV]Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications
    • [cs.CV]Smart Traffic Monitoring System using Computer Vision and Edge Computing
    • [cs.CV]Support Vector Machine for Handwritten Character Recognition
    • [cs.CV]Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
    • [cs.CV]Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints
    • [cs.CV]Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
    • [cs.CV]WhyAct: Identifying Action Reasons in Lifestyle Vlogs
    • [cs.CV]Zero-Shot Open Set Detection by Extending CLIP
    • [cs.CV]nnFormer: Interleaved Transformer for Volumetric Segmentation
    • [cs.DC]Memory at Your Service: Fast Memory Allocation for Latency-critical Services
    • [cs.DL]ArGoT: A Glossary of Terms extracted from the arXiv
    • [cs.DS]Simple Worst-Case Optimal Adaptive Prefix-Free Coding
    • [cs.GR]GeneNet VR: Interactive visualization of large-scale biological networks using a standalone headset
    • [cs.IR]Adherence and Constancy in LIME-RS Explanations for Recommendation
    • [cs.IR]Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
    • [cs.IR]Mixed Attention Transformer for LeveragingWord-Level Knowledge to Neural Cross-Lingual Information Retrieval
    • [cs.IR]PEEK: A Large Dataset of Learner Engagement with Educational Videos
    • [cs.IR]POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
    • [cs.IR]Recommendation Fairness: From Static to Dynamic
    • [cs.IR]Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
    • [cs.IR]Top-N Recommendation with Counterfactual User Preference Simulation
    • [cs.IT]Bit Density Based Signal and Jamming Detection in 1-Bit Quantized MIMO Systems
    • [cs.IT]Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access
    • [cs.IT]List-decodable Codes and Covering Codes
    • [cs.IT]Locally Recoverable Streaming Codes for Packet-Erasure Recovery
    • [cs.IT]Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI
    • [cs.IT]On the Effective Rate of NOMA in Underlay Spectrum Sharing
    • [cs.LG]Adversarial Parameter Defense by Multi-Step Risk Minimization
    • [cs.LG]BERT based classification system for detecting rumou
    4c28
    rs on Twitter
    • [cs.LG]Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic
    • [cs.LG]Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots
    • [cs.LG]COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
    • [cs.LG]Communication Efficient Tensor Factorization for Decentralized Healthcare Networks
    • [cs.LG]Efficient ADMM-based Algorithms for Convolutional Sparse Coding
    • [cs.LG]Error Controlled Actor-Critic
    • [cs.LG]Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
    • [cs.LG]Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
    • [cs.LG]GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
    • [cs.LG]Individual Mobility Prediction via Attentive Marked Temporal Point Processes
    • [cs.LG]Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
    • [cs.LG]Learning Fast Sample Re-weighting Without Reward Data
    • [cs.LG]Learning to Bid in Contextual First Price Auctions
    • [cs.LG]On the Convergence of Decentralized Adaptive Gradient Methods
    • [cs.LG]Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
    • [cs.LG]Optimizing model-agnostic Random Subspace ensembles
    • [cs.LG]Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
    • [cs.LG]Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network
    • [cs.LG]Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
    • [cs.LG]Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach
    • [cs.LG]Refinement of Hottopixx and its Postprocessing
    • [cs.LG]Regularized Learning in Banach Spaces
    • [cs.LG]Revisiting Recursive Least Squares for Training Deep Neural Networks
    • [cs.LG]Robust Predictable Control
    • [cs.LG]Scale-invariant representation of machine learning
    • [cs.LG]Semiparametric Bayesian Networks
    • [cs.LG]Sequential Diagnosis Prediction with Transformer and Ontological Representation
    • [cs.LG]Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
    • [cs.LG]Training Meta-Surrogate Model for Transferable Adversarial Attack
    • [cs.LG]Trojan Signatures in DNN Weights
    • [cs.LG]gen2Out: Detecting and Ranking Generalized Anomalies
    • [cs.NE]Sparse Distributed Memory using Spiking Neural Networks on Nengo
    • [cs.NE]The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
    • [cs.NI]First Responders Got Wings: UAVs to the Rescue of Localization Operations in Beyond 5G Systems
    • [cs.NI]Understanding Model Drift in a Large Cellular Network
    • [cs.RO]A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone
    • [cs.RO]A drl based distributed formation control scheme with stream based collision avoidance
    • [cs.RO]Active Perception with Neural Networks
    • [cs.RO]Behavioral assessment of a humanoid robot when attracting pedestrians in a mall
    • [cs.RO]Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor
    • [cs.RO]Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practice
    • [cs.RO]Distributed Allocation and Scheduling of Tasks with Cross-Schedule Dependencies for Heterogeneous Multi-Robot Teams
    • [cs.RO]Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization
    • [cs.RO]GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging
    • [cs.RO]IDS 3D City: A Digital Scaled Smart City
    • [cs.RO]Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance
    • [cs.RO]Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot
    • [cs.RO]OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
    • [cs.RO]Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis
    • [cs.RO]Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots
    • [cs.RO]Safe-Critical Modular Deep Reinforcement Learning with Temporal Logic through Gaussian Processes and Control Barrier Functions
    • [cs.SC]Symbolic Computation in Software Science: My Personal View
    • [cs.SD]Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds
    • [cs.SD]Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
    • [cs.SD]FastAudio: A Learnable Audio Front-End for Spoof Speech Detection
    • [cs.SD]Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds
    • [cs.SD]Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes
    • cs.SIalignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
    • [cs.SI]Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
    • [cs.SI]Online Learning of Independent Cascade Models with Node-level Feedback
    • [cs.SI]Temporal complex networks modeling applied to vehicular ad-hoc networks
    • [econ.GN]Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
    • [eess.IV]End to end hyperspectral imaging system with coded compression imaging process
    • [eess.IV]FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
    • [eess.IV]Perceptual Video Compression with Recurrent Conditional GAN
    • [eess.SP]BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables
    • [eess.SP]IEEE BigData 2021 Cup: Soft Sensing at Scale
    • [eess.SP]Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems
    • [eess.SP]Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection
    • [math.NA]Self-adaptive deep neural network: Numerical approximation to functions and PDEs
    • [math.OC]Large-Scale System Identification Using a Randomized SVD
    • [math.PR]Spectral properties of sample covariance matrices arising from random matrices with independent non identically distributed columns
    • [math.PR]The Second Generalization of the Hausdorff Dimension Theorem for Random Fractals
    • [math.ST]Adaptive variational Bayes: Optimality, computation and applications
    • [math.ST]Estimating nuisance parameters often reduces the variance (with consistent variance estimation)
    • [math.ST]Estimation of the covariate conditional tail expectation : a depth-based level set approach
    • [math.ST]Exact and Asymptotic Tests for Sufficient Followup in Censored Survival Data
    • [math.ST]Fast approximations of pseudo-observations in the context of right-censoring and interval-censoring
    • [physics.ao-ph]Combining data assimilation and machine learning to estimate parameters of a convective-scale model
    • [physics.geo-ph]In-situ visualization of natural hazards with Galaxy and Material Point Method
    • [physics.geo-ph]OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica
    • [physics.soc-ph]PageRank computation for Higher-Order Networks
    • [q-bio.NC]Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
    • [q-bio.OT]Characterizing interdisciplinarity in drug research: a translational science perspective
    • [stat.AP]Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
    • [stat.AP]On unified framework for nonlinear grey system models: an integro-differential equation perspective
    • [stat.CO]Convergence rate of a collapsed Gibbs sampler for crossed random effects models
    • [stat.ME]Bayesian data selection
    • [stat.ME]Dynamic Network Regression
    • [stat.ME]Estimating effects within nonlinear autoregressive models: a case study on the impact of child access prevention laws on firearm mortality
    • [stat.ME]Estimating the case fatality rate of a disease during the course of an epidemic with an application to COVID-19 in Argentina
    • [stat.ME]Ignorable and non-ignorable missing data in hidden Markov models
    • [stat.ME]Tree-based boosting with functional data
    • [stat.ML]Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
    • [stat.ML]Instance-dependent Label-noise Learning under a Structural Causal Model
    • [stat.ML]Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes

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

    • [cs.AI]A new neighborhood structure for job shop scheduling problems
    Jin Xie, Xinyu Li, Liang Gao, Lin Gui
    http://arxiv.org/abs/2109.02843v1

    • [cs.AI]An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models
    Tianxing He, Kyunghyun Cho, James Glass
    http://arxiv.org/abs/2109.02772v1

    • [cs.AI]Aspartix-V21
    Wolfgang Dvořák, Matthias König, Johannes P. Wallner, Stefan Woltran
    http://arxiv.org/abs/2109.03166v1

    • [cs.AI]Dutch Comfort: The limits of AI governance through municipal registers
    Corinne Cath, Fieke Jansen
    http://arxiv.org/abs/2109.02944v1

    • [cs.AI]ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models
    Aman Priyanshu, Aleti Vardhan, Sudarshan Sivakumar, Supriti Vijay, Nipuna Chhabra
    http://arxiv.org/abs/2109.03200v1

    • [cs.AI]Fudge: A light-weight solver for abstract argumentation based on SAT reductions
    Matthias Thimm, Federico Cerutti, Mauro Vallati
    http://arxiv.org/abs/2109.03106v1

    • [cs.AI]HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
    Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng
    http://arxiv.org/abs/2109.02868v1

    • [cs.AI]On the impact of MDP design for Reinforcement Learning agents in Resource Management
    Renato Luiz de Freitas Cunha, Luiz Chaimowicz
    http://arxiv.org/abs/2109.03202v1

    • [cs.AI]Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education
    Thomas P Quinn, Simon Coghlan
    http://arxiv.org/abs/2109.02866v1

    • [cs.AI]Sequential Attention Module for Natural Language Processing
    Mengyuan Zhou, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo
    http://arxiv.org/abs/2109.03009v1

    • [cs.AI]Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
    Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman Fenton, Burkhard Schaffer
    http://arxiv.org/abs/2109.02956v1

    • [cs.AI]The pyglaf argumentation reasoner (ICCMA2021)
    Mario Alviano
    http://arxiv.org/abs/2109.03162v1

    • [cs.AI]ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles
    Andrea Piazzoni, Jim Cherian, Mohamed Azhar, Jing Yew Yap, James Lee Wei Shung, Roshan Vijay
    http://arxiv.org/abs/2109.02529v2

    • [cs.CL]A Scalable AI Approach for Clinical Trial Cohort Optimization
    Xiong Liu, Cheng Shi, Uday Deore, Yingbo Wang, Myah Tran, Iya Khalil, Murthy Devarakonda
    http://arxiv.org/abs/2109.02808v1

    • [cs.CL]Aspect-Controllable Opinion Summarization
    Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata
    http://arxiv.org/abs/2109.03171v1

    • [cs.CL]Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
    Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei
    http://arxiv.org/abs/2109.03228v1

    • [cs.CL]Countering Online Hate Speech: An NLP Perspective
    Mudit Chaudhary, Chandni Saxena, Helen Meng
    http://arxiv.org/abs/2109.02941v1

    • [cs.CL]Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain
    Ankush Chopra, Prateek Nagwanshi, Sohom Ghosh
    http://arxiv.org/abs/2109.02935v1

    • [cs.CL]Datasets: A Community Library for Natural Language Processing
    Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
    http://arxiv.org/abs/2109.02846v1

    • [cs.CL]Detecting Inspiring Content on Social Media
    Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Halevy
    http://arxiv.org/abs/2109.02734v1

    • [cs.CL]Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
    Shirley Anugrah Hayati, Dongyeop Kang, Lyle Ungar
    http://arxiv.org/abs/2109.02738v1

    • [cs.CL]Don’t Go Far Off: An Empirical Study on Neural Poetry Translation
    Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan
    http://arxiv.org/abs/2109.02972v1

    • [cs.CL]Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
    Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
    http://arxiv.org/abs/2109.02403v2

    • [cs.CL]Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
    Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes
    http://arxiv.org/abs/2109.03004v1

    • [cs.CL]End-to-end Neural Information Status Classification
    Yufang Hou
    http://arxiv.org/abs/2109.02753v1

    • [cs.CL]Exploiting Reasoning Chains for Multi-hop Science Question Answering
    Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam
    http://arxiv.org/abs/2109.02905v1

    • [cs.CL]Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
    Kaixin Ma, Filip Ilievski, Jonathan Francis, Satoru Ozaki, Eric Nyberg, Alessandro Oltramari
    http://arxiv.org/abs/2109.02837v1

    • [cs.CL]FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments
    Christian Gawron, Sebastian Schmidt
    http://arxiv.org/abs/2109.02966v1

    • [cs.CL]FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
    Tobias Bornheim, Niklas Grieger, Stephan Bialonski
    http://arxiv.org/abs/2109.03094v1

    • [cs.CL]GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
    Derek Chen, Zhou Yu
    http://arxiv.org/abs/2109.03079v1

    • [cs.CL]Generate & Rank: A Multi-task Framework for Math Word Problems
    Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu
    http://arxiv.org/abs/2109.03034v1

    • [cs.CL]How much pretraining data do language models need to learn syntax?
    Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
    http://arxiv.org/abs/2109.03160v1

    • [cs.CL]Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles
    Jian Zhu, David Jurgens
    http://arxiv.org/abs/2109.03158v1

    • [cs.CL]IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
    Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar
    http://arxiv.org/abs/2109.02903v1

    • [cs.CL]Infusing Future Information into Monotonic Attention Through Language Models
    Mohd Abbas Zaidi, Sathish Indurthi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim
    http://arxiv.org/abs/2109.03121v1

    • [cs.CL]Integrating Regular Expressions with Neural Networks via DFA
    Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang
    http://arxiv.org/abs/2109.02882v1

    • [cs.CL]Joint model for intent and entity recognition
    Petr Lorenc
    http://arxiv.org/abs/2109.03221v1

    • [cs.CL]Learning grounded word meaning representations on similarity graphs
    Mariella Dimiccoli, Herwig Wendt, Pau Batlle
    http://arxiv.org/abs/2109.03084v1

    • [cs.CL]Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
    Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes
    http://arxiv.org/abs/2109.02938v1

    • [cs.CL]NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
    Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu
    http://arxiv.org/abs/2109.03137v1

    • [cs.CL]PAUSE: Positive and Annealed Unlabeled Sentence Embedding
    Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
    http://arxiv.org/abs/2109.03155v1

    • [cs.CL]Paraphrase Generation as Unsupervised Machine Translation
    Chun Fan, Yufei Tian, Yuxian Meng, Nanyun Peng, Xiaofei Sun, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2109.02950v1

    • [cs.CL]Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
    Shaoxiong Ji, Pekka Marttinen
    http://arxiv.org/abs/2109.03062v1

    • [cs.CL]Rare Words Degenerate All Words
    Sangwon Yu, Jongyoon Song, Heeseung Kim, Seong-min Lee, Woo-Jong Ryu, Sungroh Yoon
    http://arxiv.org/abs/2109.03127v1

    • [cs.CL]Revisiting Context Choices for Context-aware Machine Translation
    Matīss Rikters, Toshiaki Nakazawa
    http://arxiv.org/abs/2109.02995v1

    • [cs.CL]SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of “Subjectivity” and “Identity Terms”
    Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
    http://arxiv.org/abs/2109.02691v1

    • [cs.CL]Text-to-Table: A New Way of Information Extraction
    Xueqing Wu, Jiacheng Zhang, Hang Li
    http://arxiv.org/abs/2109.02707v1

    • [cs.CL]Unsupervised Conversation Disentanglement through Co-Training
    Hui Liu, Zhan Shi, Xiaodan Zhu
    http://arxiv.org/abs/2109.03199v1

    • [cs.CL]When differential privacy meets NLP: The devil is in the detail
    Ivan Habernal
    http://arxiv.org/abs/2109.03175v1

    • [cs.CR]Blockchains through ontologies: the case study of the Ethereum ERC721 standard in \ONT{} (Extended Version)
    Giampaolo Bella, Domenico Cantone, Cristiano Longo, Marianna Nicolosi-Asmundo, Daniele Francesco Santamaria
    http://arxiv.org/abs/2109.02899v1

    • [cs.CV]Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
    Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
    http://arxiv.org/abs/2109.02722v1

    • [cs.CV]Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network
    Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai
    http://arxiv.org/abs/2109.02929v1

    • [cs.CV]CIM: Class-Irrelevant Mapping for Few-Shot Classification
    Shuai Shao, Lei Xing, Yixin Chen, Yan-Jiang Wang, Bao-Di Liu, Yicong Zhou
    http://arxiv.org/abs/2109.02840v1

    • [cs.CV]CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
    Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer
    http://arxiv.org/abs/2109.02965v1

    • [cs.CV]Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation
    Guan-Nan Dong, Chi-Man Pun, Zheng Zhang
    http://arxiv.org/abs/2109.02804v1

    • [cs.CV]DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
    Sm Zobaed, Md Fazle Rabby, Md Istiaq Hossain, Ekram Hossain, Sazib Hasan, Asif Karim, Khan Md. Hasib
    http://arxiv.org/abs/2109.02874v1

    • [cs.CV]Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors
    Hasam Khalid, Minha Kim, Shahroz Tariq, Simon S. Woo
    http://arxiv.org/abs/2109.02993v1

    • [cs.CV]Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
    Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell
    http://arxiv.org/abs/2109.03156v1

    • [cs.CV]Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
    Zejiang Hou, Sun-Yuan Kung
    http://arxiv.org/abs/2109.02820v1

    • [cs.CV]Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
    Huy Q. Vo, Tuong Do, Vi C. Pham, Duy Nguyen, An T. Duong, Quang D. Tran
    http://arxiv.org/abs/2109.02917v1

    • [cs.CV]FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
    Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
    http://arxiv.org/abs/2109.02974v1

    • [cs.CV]GCsT: Graph Convolutional Skeleton Transformer for Action Recognition
    Ruwen Bai, Min Li, Bo Meng, Fengfa Li, Junxing Ren, Miao Jiang, Degang Sun
    http://arxiv.org/abs/2109.02860v1

    • [cs.CV]Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
    Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pitas
    http://arxiv.org/abs/2109.02711v1

    • [cs.CV]Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
    Bin Sun, Shaofan Wang, Dehui Kong, Jinghua Li, Baocai Yin
    http://arxiv.org/abs/2109.02990v1

    • [cs.CV]ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification
    Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh
    http://arxiv.org/abs/2109.02862v1

    • [cs.CV]Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
    Steven Carrell, Amir Atapour-Abarghouei
    http://arxiv.org/abs/2109.02119v2

    • [cs.CV]Improving Dietary Assessment Via Integrated Hierarchy Food Classification
    Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu
    http://arxiv.org/abs/2109.02736v1

    • [cs.CV]Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
    Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida
    http://arxiv.org/abs/2109.02693v1

    • [cs.CV]Journalistic Guidelines Aware News Image Captioning
    Xuewen Yang, Svebor Karaman, Joel Tetreault, Alex Jaimes
    http://arxiv.org/abs/2109.02865v1

    • [cs.CV]Kinship Verification Based on Cross-Generation Feature Interaction Learning
    Guan-Nan Dong, Chi-Man Pun, Zheng Zhang
    http://arxiv.org/abs/2109.02809v1

    • [cs.CV]Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
    Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
    http://arxiv.org/abs/2109.03075v1

    • [cs.CV]Learning to Combine the Modalities of Language and Video for Temporal Moment Localization
    Jungkyoo Shin, Jinyoung Moon
    http://arxiv.org/abs/2109.02925v1

    • [cs.CV]On the Out-of-distribution Generalization of Probabilistic Image Modelling
    Mingtian Zhang, Andi Zhang, Steven McDonagh
    http://arxiv.org/abs/2109.02639v1

    • [cs.CV]PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
    Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui, Weiwei Liu, Jun Zhou, Bin Lu, Yehua Yang, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma
    http://arxiv.org/abs/2109.03144v1

    • [cs.CV]Pano3D: A Holistic Benchmark and a Solid Baseline for 今日学术视野(2021.9.9) - 图2 Depth Estimation
    Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/2109.02749v1

    • [cs.CV]Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
    Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy
    http://arxiv.org/abs/2109.03223v1

    • [cs.CV]Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
    Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson
    http://arxiv.org/abs/2109.03229v1

    • [cs.CV]Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
    Jianzhe Lin, Tianze Yu, Z. Jane Wang
    http://arxiv.org/abs/2109.02688v1

    • [cs.CV]Robustness and Generalization via Generative Adversarial Training
    Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, SerNam Lim
    http://arxiv.org/abs/2109.02765v1

    • [cs.CV]STRIVE: Scene Text Replacement In Videos
    Vijay Kumar B G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala
    http://arxiv.org/abs/2109.02762v1

    • [cs.CV]Self-supervised Tumor Segmentation through Layer Decomposition
    Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang
    http://arxiv.org/abs/2109.03230v1

    • [cs.CV]Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
    Katsuyuki Nakamura, Hiroki Ohashi, Mitsuhiro Okada
    http://arxiv.org/abs/2109.02955v1

    • [cs.CV]Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications
    Tejas Mane, Aylar Bayramova, Kostas Daniilidis, Philippos Mordohai, Elena Bernardis
    http://arxiv.org/abs/2109.02740v1

    • [cs.CV]Smart Traffic Monitoring System using Computer Vision and Edge Computing
    Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Jo Young Lee, Nirwan Ansari, Chengjun Liu, Mustafa Yousef
    http://arxiv.org/abs/2109.03141v1

    • [cs.CV]Support Vector Machine for Handwritten Character Recognition
    Jomy John
    http://arxiv.org/abs/2109.03081v1

    • [cs.CV]Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
    Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai
    http://arxiv.org/abs/2109.02288v2

    • [cs.CV]Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints
    Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Huang, Caihua Kong, Longgang Dai, Yufeng Li
    http://arxiv.org/abs/2109.02973v1

    • [cs.CV]Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images
    Reenul Reedha, Eric Dericquebourg, Raphael Canals, Adel Hafiane
    http://arxiv.org/abs/2109.02716v1

    • [cs.CV]WhyAct: Identifying Action Reasons in Lifestyle Vlogs
    Oana Ignat, Santiago Castro, Hanwen Miao, Weiji Li, Rada Mihalcea
    http://arxiv.org/abs/2109.02747v1

    • [cs.CV]Zero-Shot Open Set Detection by Extending CLIP
    Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu
    http://arxiv.org/abs/2109.02748v1

    • [cs.CV]nnFormer: Interleaved Transformer for Volumetric Segmentation
    Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
    http://arxiv.org/abs/2109.03201v1

    • [cs.DC]Memory at Your Service: Fast Memory Allocation for Latency-critical Services
    Aidi Pi, Junxian Zhao, Shaoqi Wang, Xiaobo Zhou
    http://arxiv.org/abs/2109.02922v1

    • [cs.DL]ArGoT: A Glossary of Terms extracted from the arXiv
    Luis Berlioz
    http://arxiv.org/abs/2109.02801v1

    • [cs.DS]Simple Worst-Case Optimal Adaptive Prefix-Free Coding
    Travis Gagie
    http://arxiv.org/abs/2109.02997v1

    • [cs.GR]GeneNet VR: Interactive visualization of large-scale biological networks using a standalone headset
    Álvaro Martínez Fernández, Lars Ailo Bongo, Edvard Pedersen
    http://arxiv.org/abs/2109.02937v1

    • [cs.IR]Adherence and Constancy in LIME-RS Explanations for Recommendation
    Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
    http://arxiv.org/abs/2109.00818v2

    • [cs.IR]Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
    Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
    http://arxiv.org/abs/2109.02859v1

    • [cs.IR]Mixed Attention Transformer for LeveragingWord-Level Knowledge to Neural Cross-Lingual Information Retrieval
    Zhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan
    http://arxiv.org/abs/2109.02789v1

    • [cs.IR]PEEK: A Large Dataset of Learner Engagement with Educational Videos
    Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor
    http://arxiv.org/abs/2109.03154v1

    • [cs.IR]POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
    Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson
    http://arxiv.org/abs/2109.03039v1

    • [cs.IR]Recommendation Fairness: From Static to Dynamic
    Dell Zhang, Jun Wang
    http://arxiv.org/abs/2109.03150v1

    • [cs.IR]Refining BERT Embeddings for Document Hashing via Mutual Information Maximization
    Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
    http://arxiv.org/abs/2109.02867v1

    • [cs.IR]Top-N Recommendation with Counterfactual User Preference Simulation
    Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
    http://arxiv.org/abs/2109.02444v1

    • [cs.IT]Bit Density Based Signal and Jamming Detection in 1-Bit Quantized MIMO Systems
    M. A. Teeti
    http://arxiv.org/abs/rg/abs/2109.02239v1

    • [cs.IT]Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access
    Xiaodan Shao, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
    http://arxiv.org/abs/2109.02911v1

    • [cs.IT]List-decodable Codes and Covering Codes
    Hao Chen
    http://arxiv.org/abs/2109.02818v1

    • [cs.IT]Locally Recoverable Streaming Codes for Packet-Erasure Recovery
    Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar
    http://arxiv.org/abs/2109.03168v1

    • [cs.IT]Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI
    Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin
    http://arxiv.org/abs/2109.01817v2

    • [cs.IT]On the Effective Rate of NOMA in Underlay Spectrum Sharing
    Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
    http://arxiv.org/abs/2109.03058v1

    • [cs.LG]Adversarial Parameter Defense by Multi-Step Risk Minimization
    Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun
    http://arxiv.org/abs/2109.02889v1

    • [cs.LG]BERT based classification system for detecting rumou
    4c28
    rs on Twitter
    Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta
    http://arxiv.org/abs/2109.02975v1

    • [cs.LG]Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic
    Aan Erlansari, Rusdi Effendi, Funny Farady C, Andang Wijanarko, Boko Susilo, Reza Hardiansyah
    http://arxiv.org/abs/2109.02645v1

    • [cs.LG]Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots
    Andrew Yeh, Anhthy Ngo
    http://arxiv.org/abs/2109.02724v1

    • [cs.LG]COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
    Manuel Madeira, Renato Negrinho, João Xavier, Pedro M. Q. Aguiar
    http://arxiv.org/abs/2109.03207v1

    • [cs.LG]Communication Efficient Tensor Factorization for Decentralized Healthcare Networks
    Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
    http://arxiv.org/abs/2109.01718v1

    • [cs.LG]Efficient ADMM-based Algorithms for Convolutional Sparse Coding
    Farshad G. Veshki, Sergiy A. Vorobyov
    http://arxiv.org/abs/2109.02969v1

    • [cs.LG]Error Controlled Actor-Critic
    Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang
    http://arxiv.org/abs/2109.02517v2

    • [cs.LG]Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
    Kexin Feng, Theodora Chaspari
    http://arxiv.org/abs/2109.02915v1

    • [cs.LG]Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
    Alexandre Rame, Corentin Dancette, Matthieu Cord
    http://arxiv.org/abs/2109.02934v1

    • [cs.LG]GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
    Ahi Zhang, Sheng-hua Zhong, Yan Liu
    http://arxiv.org/abs/2109.03124v1

    • [cs.LG]Individual Mobility Prediction via Attentive Marked Temporal Point Processes
    Yuankai Wu, Zhanhong Cheng, Lijun Sun
    http://arxiv.org/abs/2109.02715v1

    • [cs.LG]Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
    Barbara C Benato, Alexandru C Telea, Alexandre X Falcão
    http://arxiv.org/abs/2109.02717v1

    • [cs.LG]Learning Fast Sample Re-weighting Without Reward Data
    Zizhao Zhang, Tomas Pfister
    http://arxiv.org/abs/2109.03216v1

    • [cs.LG]Learning to Bid in Contextual First Price Auctions
    Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
    http://arxiv.org/abs/2109.03173v1

    • [cs.LG]On the Convergence of Decentralized Adaptive Gradient Methods
    Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
    http://arxiv.org/abs/2109.03194v1

    • [cs.LG]Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
    Owen Lockwood
    http://arxiv.org/abs/2109.03188v1

    • [cs.LG]Optimizing model-agnostic Random Subspace ensembles
    Vân Anh Huynh-Thu, Pierre Geurts
    http://arxiv.org/abs/2109.03099v1

    • [cs.LG]Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
    Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
    http://arxiv.org/abs/2109.02358v2

    • [cs.LG]Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network
    Tathagata Banerjee, Matthew Kollada, Pablo Gersberg, Oscar Rodriguez, Jane Tiller, Andrew E Jaffe, John Reynders
    http://arxiv.org/abs/2109.03029v1

    • [cs.LG]Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach
    Mahmoud Shoush, Marlon Dumas
    http://arxiv.org/abs/2109.02894v1

    • [cs.LG]Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach
    David Noever, Ryerson Burdick
    http://arxiv.org/abs/2109.02797v1

    • [cs.LG]Refinement of Hottopixx and its Postprocessing
    Tomohiko Mizutani
    http://arxiv.org/abs/2109.02863v1

    • [cs.LG]Regularized Learning in Banach Spaces
    Liren Huang, Qi Ye
    http://arxiv.org/abs/2109.03159v1

    • [cs.LG]Revisiting Recursive Least Squares for Training Deep Neural Networks
    Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang
    http://arxiv.org/abs/2109.03220v1

    • [cs.LG]Robust Predictable Control
    Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
    http://arxiv.org/abs/2109.03214v1

    • [cs.LG]Scale-invariant representation of machine learning
    Sungyeop Lee, Junghyo Jo
    http://arxiv.org/abs/2109.02914v1

    • [cs.LG]Semiparametric Bayesian Networks
    David Atienza, Concha Bielza, Pedro Larrañaga
    http://arxiv.org/abs/2109.03008v1

    • [cs.LG]Sequential Diagnosis Prediction with Transformer and Ontological Representation
    Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang
    http://arxiv.org/abs/2109.03069v1

    • [cs.LG]Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
    Moacir Antonelli Ponti, Fernando Pereira dos Santos, Leo Sampaio Ferraz Ribeiro, Gabriel Biscaro Cavallari
    http://arxiv.org/abs/2109.02752v1

    • [cs.LG]Training Meta-Surrogate Model for Transferable Adversarial Attack
    Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
    http://arxiv.org/abs/2109.01983v2

    • [cs.LG]Trojan Signatures in DNN Weights
    Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi
    http://arxiv.org/abs/2109.02836v1

    • [cs.LG]gen2Out: Detecting and Ranking Generalized Anomalies
    Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, T. Noah Hutson, Leon Iasemidis
    http://arxiv.org/abs/2109.02704v1

    • [cs.NE]Sparse Distributed Memory using Spiking Neural Networks on Nengo
    Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya, Joy Bose
    http://arxiv.org/abs/2109.03111v1

    • [cs.NE]The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
    Yujin Tang, David Ha
    http://arxiv.org/abs/2109.02869v1

    • [cs.NI]First Responders Got Wings: UAVs to the Rescue of Localization Operations in Beyond 5G Systems
    Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez
    http://arxiv.org/abs/2109.03180v1

    • [cs.NI]Understanding Model Drift in a Large Cellular Network
    Shinan Liu, Francesco Bronzino, Paul Schmitt, Nick Feamster, Ricardo Borges, Hector Garcia Crespo, Brian Ward
    http://arxiv.org/abs/2109.03011v1

    • [cs.RO]A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone
    Yu Li, Muhammad Monjurul Karim, Ruwen Qin
    http://arxiv.org/abs/2109.02705v1

    • [cs.RO]A drl based distributed formation control scheme with stream based collision avoidance
    Xinyou Qiu, Xiaoxiang Li, Jian Wang, Yu Wang, Yuan Shen
    http://arxiv.org/abs/2109.03037v1

    • [cs.RO]Active Perception with Neural Networks
    Elijah S. Lee
    http://arxiv.org/abs/2109.02744v1

    • [cs.RO]Behavioral assessment of a humanoid robot when attracting pedestrians in a mall
    Yuki Okafuji, Yasunori Ozaki, Jun Baba, Junya Nakanishi, Kohei Ogawa, Yuichiro Yoshikawa, Hiroshi Ishiguro
    http://arxiv.org/abs/2109.02771v1

    • [cs.RO]Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor
    Tanaka Kanji
    http://arxiv.org/abs/2109.02786v1

    • [cs.RO]Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practice
    Elijah S. Lee, Daigo Shishika, Giuseppe Loianno, Vijay Kumar
    http://arxiv.org/abs/2109.02852v1

    • [cs.RO]Distributed Allocation and Scheduling of Tasks with Cross-Schedule Dependencies for Heterogeneous Multi-Robot Teams
    Barbara Arbanas Ferreira, Tamara Petrović, Matko Orsag, J. Ramiro Martínez-de-Dios, Stjepan Bogdan
    http://arxiv.org/abs/2109.03089v1

    • [cs.RO]Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization
    Hailiang Tang, Xiaoji Niu, Tisheng Zhang, Jing Fan, Jingnan Liu
    http://arxiv.org/abs/2109.03010v1

    • [cs.RO]GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging
    Rohan Chandra, Dinesh Manocha
    http://arxiv.org/abs/2109.01896v1

    • [cs.RO]IDS 3D City: A Digital Scaled Smart City
    Raymond M. Zayas, Logan E. Beaver, Behdad Chalaki, Heeseung Bang, Andreas A. Malikopoulos
    http://arxiv.org/abs/2109.02811v1

    • [cs.RO]Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance
    Sai Nikhil Gona, Prithvi Raj Bandhakavi
    http://arxiv.org/abs/2109.02700v1

    • [cs.RO]Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot
    Vedant Ghodke, Jyoti Madake
    http://arxiv.org/abs/2109.02015v2

    • [cs.RO]OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
    Hailiang Tang, Xiaoji Niu, Tisheng Zhang, You Li, Jingnan Liu
    http://arxiv.org/abs/2109.03091v1

    • [cs.RO]Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis
    Yapeng Gao, Jonas Tebbe, Andreas Zell
    http://arxiv.org/abs/2109.03100v1

    • [cs.RO]Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots
    Peixin Chang, Shuijing Liu, Katherine Driggs-Campbell
    http://arxiv.org/abs/2109.02823v1

    • [cs.RO]Safe-Critical Modular Deep Reinforcement Learning with Temporal Logic through Gaussian Processes and Control Barrier Functions
    Mingyu Cai, Cristian-Ioan Vasile
    http://arxiv.org/abs/2109.02791v1

    • [cs.SC]Symbolic Computation in Software Science: My Personal View
    Bruno Buchberger
    http://arxiv.org/abs/2109.02806v1

    • [cs.SD]Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds
    Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
    http://arxiv.org/abs/2109.02763v1

    • [cs.SD]Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
    Zhongwei Teng, Quchen Fu, Jules White, Maria Powell, Douglas C. Schmidt
    http://arxiv.org/abs/2109.02773v1

    • [cs.SD]FastAudio: A Learnable Audio Front-End for Spoof Speech Detection
    Quchen Fu, Zhongwei Teng, Jules White, Maria Powell, Douglas C. Schmidt
    http://arxiv.org/abs/2109.02774v1

    • [cs.SD]Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds
    Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Van Dung Do, Hai Nguyen, Ngoc Duy Nguyen
    http://arxiv.org/abs/2109.03219v1

    • [cs.SD]Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes
    Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R Sowells Boone
    http://arxiv.org/abs/2109.02692v1

    • [cs.SI](Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
    Kenneth Joseph, Sarah Shugars, Ryan Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, David Lazer
    http://arxiv.org/abs/2109.01762v2

    • [cs.SI]Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers
    Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
    http://arxiv.org/abs/2109.02927v1

    • [cs.SI]Online Learning of Independent Cascade Models with Node-level Feedback
    Shuoguang Yang, Van-Anh Truong
    http://arxiv.org/abs/2109.02519v2

    • [cs.SI]Temporal complex networks modeling applied to vehicular ad-hoc networks
    Fillipe Santos, Andre L. L. Aquino, Edmundo R. M. Madeira, Raquel S. Cabral
    http://arxiv.org/abs/2109.03042v1

    • [econ.GN]Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access
    Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke
    http://arxiv.org/abs/2109.02890v1

    • [eess.IV]End to end hyperspectral imaging system with coded compression imaging process
    Hui Xie, Zhuang Zhao, Jing Han, Yi Zhang, Lianfa Bai, Jun Lu
    http://arxiv.org/abs/2109.02643v1

    • [eess.IV]FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
    Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu
    http://arxiv.org/abs/2109.02920v1

    • [eess.IV]Perceptual Video Compression with Recurrent Conditional GAN
    Ren Yang, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2109.03082v1

    • [eess.SP]BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables
    Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique
    http://arxiv.org/abs/2109.02909v1

    • [eess.SP]IEEE BigData 2021 Cup: Soft Sensing at Scale
    Sergei Petrov, Chao Zhang, Jaswanth Yella, Yu Huang, Xiaoye Qian, Sthitie Bom
    http://arxiv.org/abs/2109.03181v1

    • [eess.SP]Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems
    Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova
    http://arxiv.org/abs/2109.03128v1

    • [eess.SP]Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection
    Runyu Mao, Mackenzie Tweardy, Stephan W. Wegerich, Craig J. Goer
    1000
    gen, George R. Wodicka, Fengqing Zhu
    http://arxiv.org/abs/2109.02755v1

    • [math.NA]Self-adaptive deep neural network: Numerical approximation to functions and PDEs
    Zhiqiang Cai, Jingshuang Chen, Min Liu
    http://arxiv.org/abs/2109.02839v1

    • [math.OC]Large-Scale System Identification Using a Randomized SVD
    Han Wang, James Anderson
    http://arxiv.org/abs/2109.02703v1

    • [math.PR]Spectral properties of sample covariance matrices arising from random matrices with independent non identically distributed columns
    Cosme Louart, Romain Couillet
    http://arxiv.org/abs/2109.02644v1

    • [math.PR]The Second Generalization of the Hausdorff Dimension Theorem for Random Fractals
    Mohsen Soltanifar
    http://arxiv.org/abs/2109.02739v1

    • [math.ST]Adaptive variational Bayes: Optimality, computation and applications
    Ilsang Ohn, Lizhen Lin
    http://arxiv.org/abs/2109.03204v1

    • [math.ST]Estimating nuisance parameters often reduces the variance (with consistent variance estimation)
    Judith J. Lok
    http://arxiv.org/abs/2109.02690v1

    • [math.ST]Estimation of the covariate conditional tail expectation : a depth-based level set approach
    Armaut Elisabeth, Diel Roland, Laloë Thomas
    http://arxiv.org/abs/2109.03017v1

    • [math.ST]Exact and Asymptotic Tests for Sufficient Followup in Censored Survival Data
    Ross Maller, Sidney Resnick, Soudabeh Shemehsavar
    http://arxiv.org/abs/2109.02817v1

    • [math.ST]Fast approximations of pseudo-observations in the context of right-censoring and interval-censoring
    Olivier Bouaziz
    http://arxiv.org/abs/2109.02959v1

    • [physics.ao-ph]Combining data assimilation and machine learning to estimate parameters of a convective-scale model
    Stefanie Legler, Tijana Janjic
    http://arxiv.org/abs/2109.02953v1

    • [physics.geo-ph]In-situ visualization of natural hazards with Galaxy and Material Point Method
    Greg Abram, Andrew Solis, Yong Liang, Krishna Kumar
    http://arxiv.org/abs/2109.02754v1

    • [physics.geo-ph]OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica
    Leonardo van der Laat, Ronald J. L. Baldares, Esteban J. Chaves, Esteban Meneses
    http://arxiv.org/abs/2109.02723v1

    • [physics.soc-ph]PageRank computation for Higher-Order Networks
    Célestin Coquidé, Julie Queiros, François Queyroi
    http://arxiv.org/abs/2109.03065v1

    • [q-bio.NC]Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity
    Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson
    http://arxiv.org/abs/2109.03115v1

    • [q-bio.OT]Characterizing interdisciplinarity in drug research: a translational science perspective
    Xin Li, Xuli Tang
    http://arxiv.org/abs/2109.03038v1

    • [stat.AP]Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
    Yu Li, Muhammad Monjurul Karim, Ruwen Qin
    http://arxiv.org/abs/2109.02710v1

    • [stat.AP]On unified framework for nonlinear grey system models: an integro-differential equation perspective
    Lu Yang, Naiming Xie, Baolei Wei, Xiaolei Wang
    http://arxiv.org/abs/2109.03101v1

    • [stat.CO]Convergence rate of a collapsed Gibbs sampler for crossed random effects models
    Swarnadip Ghosh, Chenyang Zhong
    http://arxiv.org/abs/2109.02849v1

    • [stat.ME]Bayesian data selection
    Eli N. Weinstein, Jeffrey W. Miller
    http://arxiv.org/abs/2109.02712v1

    • [stat.ME]Dynamic Network Regression
    Yidong Zhou, Hans-Georg Müller
    http://arxiv.org/abs/2109.02981v1

    • [stat.ME]Estimating effects within nonlinear autoregressive models: a case study on the impact of child access prevention laws on firearm mortality
    Matthew Cefalu, Terry Schell, Beth Ann Griffin, Rosanna Smart, Andrew Morral
    http://arxiv.org/abs/2109.03225v1

    • [stat.ME]Estimating the case fatality rate of a disease during the course of an epidemic with an application to COVID-19 in Argentina
    Agustín Alvarez, Marina Fragalá, Marina Valdora
    http://arxiv.org/abs/2109.03087v1

    • [stat.ME]Ignorable and non-ignorable missing data in hidden Markov models
    Maarten Speekenbrink, Ingmar Visser
    http://arxiv.org/abs/2109.02770v1

    • [stat.ME]Tree-based boosting with functional data
    Xiaomeng Ju, Matías Salibián-Barrera
    http://arxiv.org/abs/2109.02989v1

    • [stat.ML]Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
    Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
    http://arxiv.org/abs/2109.02832v1

    • [stat.ML]Instance-dependent Label-noise Learning under a Structural Causal Model
    Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
    http://arxiv.org/abs/2109.02986v1

    • [stat.ML]Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
    Zhiyuan Liu, Jörn Schulz, Mohsen Taheri, Martin Styner, James Damon, Stephen Pizer, J. S. Marron
    http://arxiv.org/abs/2109.02230v2