cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CC - 计算复杂度
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.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MS - 数学软件
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.GN - 一般经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.MG -公制几何
math.OC - 优化与控制
math.ST - 统计理论
q-bio.NC - 神经元与认知
q-fin.ST - 统计金融学
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]Adaptive Belief Discretization for POMDP Planning
• [cs.AI]Applying Personal Knowledge Graphs to Health
• [cs.AI]Emotion Dynamics Modeling via BERT
• [cs.AI]Ensemble of MRR and NDCG models for Visual Dialog
• [cs.AI]Text Guide: Improving the quality of long text classification by a text selection method based on feature importance
• [cs.AR]SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
• [cs.CC]Sized Types with Usages for Parallel Complexity of Pi-Calculus Processes
• [cs.CL]A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
• [cs.CL]A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers
• [cs.CL]AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction
• [cs.CL]Adaptive Active Learning for Coreference Resolution
• [cs.CL]Adaptive Sparse Transformer for Multilingual Translation
• [cs.CL]An Alignment-Agnostic Model for Chinese Text Error Correction
• [cs.CL]An Interpretability Illusion for BERT
• [cs.CL]Annealing Knowledge Distillation
• [cs.CL]Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering
• [cs.CL]BERT based Transformers lead the way in Extraction of Health Information from Social Media
• [cs.CL]Bilingual Terminology Extraction from Non-Parallel E-Commerce Corpora
• [cs.CL]Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
• [cs.CL]Consistency Training with Virtual Adversarial Discrete Perturbation
• [cs.CL]Cross-Domain Label-Adaptive Stance Detection
• [cs.CL]Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation
• [cs.CL]Demystify Optimization Challenges in Multilingual Transformers
• [cs.CL]Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
• [cs.CL]Disentangling Representations of Text by Masking Transformers
• [cs.CL]Does Putting a Linguist in the Loop Improve NLU Data Collection?
• [cs.CL]Effect of Post-processing on Contextualized Word Representations
• [cs.CL]ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
• [cs.CL]First the worst: Finding better gender translations during beam search
• [cs.CL]Generating Datasets with Pretrained Language Models
• [cs.CL]Hierarchical Learning for Generation with Long Source Sequences
• [cs.CL]Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding
• [cs.CL]Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
• [cs.CL]Learning Zero-Shot Multifaceted Visually Grounded Word Embeddingsvia Multi-Task Training
• [cs.CL]Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling
• [cs.CL]Modeling Human Mental States with an Entity-based Narrative Graph
• [cs.CL]Multitasking Inhibits Semantic Drift
• [cs.CL]NT5?! Training T5 to Perform Numerical Reasoning
• [cs.CL]Neural Sequence Segmentation as Determining the Leftmost Segments
• [cs.CL]Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
• [cs.CL]On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise
• [cs.CL]Planning with Entity Chains for Abstractive Summarization
• [cs.CL]Predicting Discourse Trees from Transformer-based Neural Summarizers
• [cs.CL]Privacy-Adaptive BERT for Natural Language Understanding
• [cs.CL]Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
• [cs.CL]Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
• [cs.CL]RefSum: Refactoring Neural Summarization
• [cs.CL]Reformulating Sentence Ordering as Conditional Text Generation
• [cs.CL]Regularizing Models via Pointwise Mutual Information for Named Entity Recognition
• [cs.CL]Rethinking Automatic Evaluation in Sentence Simplification
• [cs.CL]Retrieval Augmentation Reduces Hallucination in Conversation
• [cs.CL]Reward Optimization for Neural Machine Translation with Learned Metrics
• [cs.CL]SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
• [cs.CL]Sentence-Permuted Paragraph Generation
• [cs.CL]Sequence Tagging for Biomedical Extractive Question Answering
• [cs.CL]Simultaneous Multi-Pivot Neural Machine Translation
• [cs.CL]Sometimes We Want Translationese
• [cs.CL]Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing
• [cs.CL]Static Embeddings as Efficient Knowledge Bases?
• [cs.CL]SummScreen: A Dataset for Abstractive Screenplay Summarization
• [cs.CL]SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
• [cs.CL]Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
• [cs.CL]TWEAC: Transformer with Extendable QA Agent Classifiers
• [cs.CL]The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
• [cs.CL]The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
• [cs.CL]The Role of Context in Detecting Previously Fact-Checked Claims
• [cs.CL]Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
• [cs.CL]TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
• [cs.CL]Towards Deconfounding the Influence of Subject’s Demographic Characteristics in Question Answering
• [cs.CL]Tracking entities in technical procedures — a new dataset and baselines
• [cs.CL]TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
• [cs.CL]UDALM: Unsupervised Domain Adaptation through Language Modeling
• [cs.CL]UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking
• [cs.CL]UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
• [cs.CL]Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
• [cs.CL]Unmasking the Mask — Evaluating Social Biases in Masked Language Models
• [cs.CL]What Makes a Scientific Paper be Accepted for Publication?
• [cs.CL]XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
• [cs.CL]Zero-Shot Cross-lingual Semantic Parsing
• [cs.CR]An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks
• [cs.CR]Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning
• [cs.CR]Measuring the Impact of Blockchain and Smart Contract on Construction Supply Chain Visibility
• [cs.CR]Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
• [cs.CV]3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild
• [cs.CV]A Decomposition Model for Stereo Matching
• [cs.CV]A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
• [cs.CV]A Simple Baseline for StyleGAN Inversion
• [cs.CV]A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
• [cs.CV]Action Segmentation with Mixed Temporal Domain Adaptation
• [cs.CV]Adaptive Intermediate Representations for Video Understanding
• [cs.CV]An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE
• [cs.CV]Audio-Driven Emotional Video Portraits
• [cs.CV]Camera View Adjustment Prediction for Improving Image Composition
• [cs.CV]ContactOpt: Optimizing Contact to Improve Grasps
• [cs.CV]Continual Learning From Unlabeled Data Via Deep Clustering
• [cs.CV]Convolutions for Spatial Interaction Modeling
• [cs.CV]Depth Completion using Plane-Residual Representation
• [cs.CV]Do Deep Neural Networks Forget Facial Action Units? — Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
• [cs.CV]Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
• [cs.CV]Federated Learning-based Active Authentication on Mobile Devices
• [cs.CV]GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
• [cs.CV]Geometry-Free View Synthesis: Transformers and no 3D Priors
• [cs.CV]Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
• [cs.CV]Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation
• [cs.CV]Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
• [cs.CV]Learning structure-aware semantic segmentation with image-level supervision
• [cs.CV]PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
• [cs.CV]Points as Queries: Weakly Semi-supervised Object Detection by Points
• [cs.CV]SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
• [cs.CV]Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
• [cs.CV]Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence
• [cs.CV]Self-supervised Video Object Segmentation by Motion Grouping
• [cs.CV]SiamCorners: Siamese Corner Networks for Visual Tracking
• [cs.CV]Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
• [cs.CV]StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
• [cs.CV]Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
• [cs.CV]Training Deep Capsule Networks with Residual Connections
• [cs.CV]TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
• [cs.CV]Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
• [cs.CV]Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
• [cs.CY]Otaku: Intelligent Management System for Student-Intensive Dormitory
• [cs.CY]Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers
• [cs.DC]Coalescent Computing
• [cs.DC]Minimizing privilege for building HPC containers
• [cs.DC]Towards a Fast and Accurate Model of Intercontact Times for Epidemic Routing
• [cs.DC]Who Needs Consensus? A Distributed Monetary System Between Rational Agents via Hearsay
• [cs.DL]ROC: An Ontology for Country Responses towards COVID-19
• [cs.HC]Towards A Process Model for Co-Creating AI Experiences
• [cs.IR]A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search
• [cs.IR]COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
• [cs.IR]DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation
• [cs.IR]Deep Learning-based Online Alternative Product Recommendations at Scale
• [cs.IR]Dynamic Graph Neural Networks for Sequential Recommendation
• [cs.IR]Empowering News Recommendation with Pre-trained Language Models
• [cs.IR]Hyperbolic Neural Collaborative Recommender
• [cs.IR]MM-Rec: Multimodal News Recommendation
• [cs.IR]Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
• [cs.IT]Extending two families of maximum rank distance codes
• [cs.IT]On Missing Mass Variance
• [cs.IT]On the existence of quaternary Hermitian LCD codes with Hermitian dual distance
• [cs.IT]Performance of CRC Concatenated Pre-transformed RM-Polar Codes
• [cs.IT]Phase noise in communication systems: from measures to models
• [cs.IT]Stochastic-Adversarial Channels : Online Adversaries With Feedback Snooping
• [cs.LG]Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
• [cs.LG]All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks
• [cs.LG]Attentive Max Feature Map for Acoustic Scene Classification with Joint Learning considering the Abstraction of Classes
• [cs.LG]Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system
• [cs.LG]D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology
• [cs.LG]Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
• [cs.LG]DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
• [cs.LG]Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
• [cs.LG]Embedding Adaptation is Still Needed for Few-Shot Learning
• [cs.LG]Exact and Approximate Hierarchical Clustering Using A*
• [cs.LG]Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
• [cs.LG]Fast Private Parameter Learning and Evaluation for Sum-Product Networks
• [cs.LG]FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
• [cs.LG]FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
• [cs.LG]Generalising Discrete Action Spaces with Conditional Action Trees
• [cs.LG]HIVE-COTE 2.0: a new meta ensemble for time series classification
• [cs.LG]Iterative Barycenter Flows
• [cs.LG]Lorentzian Graph Convolutional Networks
• [cs.LG]Membership-Mappings for Data Representation Learning
• [cs.LG]Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
• [cs.LG]Multivariate Deep Evidential Regression
• [cs.LG]NICE: An Algorithm for Nearest Instance Counterfactual Explanations
• [cs.LG]NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
• [cs.LG]On Energy-Based Models with Overparametrized Shallow Neural Networks
• [cs.LG]Orthogonalizing Convolutional Layers with the Cayley Transform
• [cs.LG]Rehearsal revealed: The limits and merits of revisiting samples in continual learning
• [cs.LG]Rehearsal revealed: The limits and merits of revisiting samples in continual learning
• [cs.LG]Robust Neural Networks Outperform Attitude Estimation Filters
• [cs.LG]Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning
• [cs.LG]See through Gradients: Image Batch Recovery via GradInversion
• [cs.LG]Self-Supervised Exploration via Latent Bayesian Surprise
• [cs.LG]Sparse online relative similarity learning
• [cs.LG]State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
• [cs.LG]The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
• [cs.LG]Towards Handling Uncertainty-at-Source in AI — A Review and Next Steps for Interval Regression
• [cs.LG]Unsupervised low-rank representations for speech emotion recognition
• [cs.LG]Variational Co-embedding Learning for Attributed Network Clustering
• [cs.LG]When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
• [cs.MS]mlf-core: a framework for deterministic machine learning
• [cs.NE]Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays
• [cs.NE]On the Assessment of Benchmark Suites for Algorithm Comparison
• [cs.NI]QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices
• [cs.NI]Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
• [cs.RO]Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
• [cs.RO]Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions
• [cs.RO]Auto-Tuned Sim-to-Real Transfer
• [cs.RO]Data-Driven Robust Barrier Functions for Safe, Long-Term Operation
• [cs.RO]Data-driven Actuator Selection for Artificial Muscle-Powered Robots
• [cs.RO]Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
• [cs.RO]Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
• [cs.RO]Tabletop Object Rearrangement: Team ACRV’s Entry to OCRTOC
• [cs.SD]Audio feature ranking for sound-based COVID-19 patient detection
• [cs.SD]Continual Learning for Fake Audio Detection
• [cs.SD]Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching
• [cs.SD]On the Design of Deep Priors for Unsupervised Audio Restoration
• [cs.SD]Spectrogram Inpainting for Interactive Generation of Instrument Sounds
• [cs.SE]OneLog: Towards End-to-End Training in Software Log Anomaly Detection
• [cs.SI]Community-Based Fact-Checking on Twitter’s Birdwatch Platform
• [cs.SI]Tourist route optimization in the context of Covid-19 pandemic
• [econ.GN]Curse of Democracy: Evidence from 2020
• [econ.GN]Quantifying firm-level economic systemic risk from nation-wide supply networks
• [eess.AS]Conditional independence for pretext task selection in Self-supervised speech representation learning
• [eess.AS]Speaker Attentive Speech Emotion Recognition
• [eess.AS]Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
• [eess.IV]Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
• [eess.IV]BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution
• [eess.IV]Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm
• [eess.IV]Image Super-Resolution via Iterative Refinement
• [eess.IV]SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images
• [eess.IV]Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
• [eess.SP]Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
• [eess.SP]Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study
• [eess.SY]Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks
• [eess.SY]Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
• [eess.SY]Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
• [math.MG]On the Vapnik-Chervonenkis dimension of products of intervals in
• [math.OC]Internet of quantum blockchains: security modeling and dynamic resource pricing for stable digital currency
• [math.ST]Logical contradictions in the One-way ANOVA and Tukey-Kramer multiple comparisons tests with more than two groups of observations
• [math.ST]Polynomial methods in statistical inference: theory and practice
• [math.ST]Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA
• [q-bio.NC]A Novel Neuron Model of Visual Processor
• [q-bio.NC]Neural population geometry: An approach for understanding biological and artificial neural networks
• [q-fin.ST]A comparative study of Different Machine Learning Regressors For Stock Market Prediction
• [stat.AP]COVID-19 Clinical footprint to infer about mortality
• [stat.CO]Identification of unknown parameters and prediction with hierarchical matrices
• [stat.CO]Reference and Probability-Matching Priors for the Parameters of a Univariate Student -Distribution
• [stat.CO]Variational Inference for the Smoothing Distribution in Dynamic Probit Models
• [stat.ME]A Critique of Differential Abundance Analysis, and Advocacy for an Alternative
• [stat.ME]Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
• [stat.ME]Estimation of the Parameters of Vector Autoregressive (VAR) Time Series Model with Symmetric Stable Noise
• [stat.ME]Fitting Infinitely divisible distribution: Case of Gamma-Variance Model
• [stat.ME]Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
• [stat.ME]Partition-Mallows Model and Its Inference for Rank Aggregation
• [stat.ME]Regularized regression on compositional tree with application to MRI analysis
• [stat.ME]Robust Generalised Bayesian Inference for Intractable Likelihoods
• [stat.ML]Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
• [stat.ML]Mean-Squared Accuracy of Good-Turing Estimator
• [stat.ML]Mean-Squared Accuracy of Good-Turing Estimator
·····································
• [cs.AI]Adaptive Belief Discretization for POMDP Planning
Divya Grover, Christos Dimitrakakis
http://arxiv.org/abs/2104.07276v1
• [cs.AI]Applying Personal Knowledge Graphs to Health
Sola Shirai, Oshani Seneviratne, Deborah L. McGuinness
http://arxiv.org/abs/2104.07587v1
• [cs.AI]Emotion Dynamics Modeling via BERT
Haiqin Yang, Jianping Shen
http://arxiv.org/abs/2104.07252v1
• [cs.AI]Ensemble of MRR and NDCG models for Visual Dialog
Idan Schwartz
http://arxiv.org/abs/2104.07511v1
• [cs.AI]Text Guide: Improving the quality of long text classification by a text selection method based on feature importance
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Ahram, Awad Al-Juaid, Jozef Zurada
http://arxiv.org/abs/2104.07225v1
• [cs.AR]SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez Luna, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Marek Konieczny, Onur Mutlu, Torsten Hoefler
http://arxiv.org/abs/2104.07582v1
• [cs.CC]Sized Types with Usages for Parallel Complexity of Pi-Calculus Processes
Patrick Baillot, Alexis Ghyselen, Naoki Kobayashi
http://arxiv.org/abs/2104.07293v1
• [cs.CL]A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
Qixuan Sun, Yaqi Yin, Hong Yu
http://arxiv.org/abs/2104.07221v1
• [cs.CL]A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers
Mehrdad Nasser, Mohamad Bagher Sajadi, Behrouz Minaei-Bidgoli
http://arxiv.org/abs/2104.07512v1
• [cs.CL]AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction
Xiang Chen, Xin Xie, Ningyu Zhang, Jiahuan Yan, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
http://arxiv.org/abs/2104.07650v1
• [cs.CL]Adaptive Active Learning for Coreference Resolution
Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan Boyd-Graber
http://arxiv.org/abs/2104.07611v1
• [cs.CL]Adaptive Sparse Transformer for Multilingual Translation
Hongyu Gong, Xian Li, Dmitriy Genzel
http://arxiv.org/abs/2104.07358v1
• [cs.CL]An Alignment-Agnostic Model for Chinese Text Error Correction
Liying Zheng, Yue Deng, Weishun Song, Liang Xu, Jing Xiao
http://arxiv.org/abs/2104.07190v1
• [cs.CL]An Interpretability Illusion for BERT
Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda Viégas, Martin Wattenberg
http://arxiv.org/abs/2104.07143v1
• [cs.CL]Annealing Knowledge Distillation
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
http://arxiv.org/abs/2104.07163v1
• [cs.CL]Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering
Sara Rosenthal, Mihaela Bornea, Avirup Sil
http://arxiv.org/abs/2104.07646v1
• [cs.CL]BERT based Transformers lead the way in Extraction of Health Information from Social Media
Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma
http://arxiv.org/abs/2104.07367v1
• [cs.CL]Bilingual Terminology Extraction from Non-Parallel E-Commerce Corpora
Hao Jia, Shuqin Gu, Yangbin Shi, Xiangyu Duan, Zhongkai Hu, Yuqi Zhang, Weihua Luo
http://arxiv.org/abs/2104.07398v1
• [cs.CL]Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
Chih-chan Tien, Shane Steinert-Threlkeld
http://arxiv.org/abs/2104.07642v1
• [cs.CL]Consistency Training with Virtual Adversarial Discrete Perturbation
Jungsoo Park, Gyuwan Kim, Jaewoo Kang
http://arxiv.org/abs/2104.07284v1
• [cs.CL]Cross-Domain Label-Adaptive Stance Detection
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
http://arxiv.org/abs/2104.07467v1
• [cs.CL]Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari
http://arxiv.org/abs/2104.07555v1
• [cs.CL]Demystify Optimization Challenges in Multilingual Transformers
Xian Li, Hongyu Gong
http://arxiv.org/abs/2104.07639v1
• [cs.CL]Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
Sohee Yang, Minjoon Seo
http://arxiv.org/abs/2104.07242v1
• [cs.CL]Disentangling Representations of Text by Masking Transformers
Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
http://arxiv.org/abs/2104.07155v1
• [cs.CL]Does Putting a Linguist in the Loop Improve NLU Data Collection?
Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman
http://arxiv.org/abs/2104.07179v1
• [cs.CL]Effect of Post-processing on Contextualized Word Representations
Hassan Sajjad, Firoj Alam, Fahim Dalvi, Nadir Durrani
http://arxiv.org/abs/2104.07456v1
• [cs.CL]ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal
http://arxiv.org/abs/2104.07644v1
• [cs.CL]First the worst: Finding better gender translations during beam search
*Danielle Saunders, Rosi
1000
e Sallis, Bill Byrne*
http://arxiv.org/abs/2104.07429v1
• [cs.CL]Generating Datasets with Pretrained Language Models
Timo Schick, Hinrich Schütze
http://arxiv.org/abs/2104.07540v1
• [cs.CL]Hierarchical Learning for Generation with Long Source Sequences
Tobias Rohde, Xiaoxia Wu, Yinhan Liu
http://arxiv.org/abs/2104.07545v1
• [cs.CL]Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding
Seunghyun Seo, Donghyun Kwak, Bowon Lee
http://arxiv.org/abs/2104.07253v1
• [cs.CL]Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao
http://arxiv.org/abs/2104.07204v1
• [cs.CL]Learning Zero-Shot Multifaceted Visually Grounded Word Embeddingsvia Multi-Task Training
Hassan Shahmohammadi, Hendrik P. A. Lensch, R. Harald Baayen
http://arxiv.org/abs/2104.07500v1
• [cs.CL]Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling
Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly
http://arxiv.org/abs/2104.07224v1
• [cs.CL]Modeling Human Mental States with an Entity-based Narrative Graph
I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
http://arxiv.org/abs/2104.07079v1
• [cs.CL]Multitasking Inhibits Semantic Drift
Athul Paul Jacob, Mike Lewis, Jacob Andreas
http://arxiv.org/abs/2104.07219v1
• [cs.CL]NT5?! Training T5 to Perform Numerical Reasoning
Peng-Jian Yang, Ying Ting Chen, Yuechan Chen, Daniel Cer
http://arxiv.org/abs/2104.07307v1
• [cs.CL]Neural Sequence Segmentation as Determining the Leftmost Segments
Yangming Li, Lemao Liu, Kaisheng Yao
http://arxiv.org/abs/2104.07217v1
• [cs.CL]Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Dai Quoc Nguyen, Vinh Tong, Dinh Phung, Dat Quoc Nguyen
http://arxiv.org/abs/2104.07396v1
• [cs.CL]On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise
Jason Krone, Sailik Sengupta, Saab Mansoor
http://arxiv.org/abs/2104.07149v1
• [cs.CL]Planning with Entity Chains for Abstractive Summarization
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Ryan McDonald
http://arxiv.org/abs/2104.07606v1
• [cs.CL]Predicting Discourse Trees from Transformer-based Neural Summarizers
Wen Xiao, Patrick Huber, Giuseppe Carenini
http://arxiv.org/abs/2104.07058v1
• [cs.CL]Privacy-Adaptive BERT for Natural Language Understanding
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
http://arxiv.org/abs/2104.07504v1
• [cs.CL]Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui
http://arxiv.org/abs/2104.07425v1
• [cs.CL]Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
Karolina Stańczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein
http://arxiv.org/abs/2104.07505v1
• [cs.CL]RefSum: Refactoring Neural Summarization
Yixin Liu, Zi-Yi Dou, Pengfei Liu
http://arxiv.org/abs/2104.07210v1
• [cs.CL]Reformulating Sentence Ordering as Conditional Text Generation
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
http://arxiv.org/abs/2104.07064v1
• [cs.CL]Regularizing Models via Pointwise Mutual Information for Named Entity Recognition
Minbyul Jeong, Jaewoo Kang
http://arxiv.org/abs/2104.07249v1
• [cs.CL]Rethinking Automatic Evaluation in Sentence Simplification
Thomas Scialom, Louis Martin, Jacopo Staiano, Éric Villemonte de la Clergerie, Benoît Sagot
http://arxiv.org/abs/2104.07560v1
• [cs.CL]Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, Jason Weston
http://arxiv.org/abs/2104.07567v1
• [cs.CL]Reward Optimization for Neural Machine Translation with Learned Metrics
Raphael Shu, Kang Min Yoo, Jung-Woo Ha
http://arxiv.org/abs/2104.07541v1
• [cs.CL]SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
Nasrin Taghizadeh, Ehsan Doostmohammadi, Elham Seifossadat, Hamid R. Rabiee, Maedeh S. Tahaei
http://arxiv.org/abs/2104.07613v1
• [cs.CL]Sentence-Permuted Paragraph Generation
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
http://arxiv.org/abs/2104.07228v1
• [cs.CL]Sequence Tagging for Biomedical Extractive Question Answering
Wonjin Yoon, Richard Jackson, Jaewoo Kang, Aron Lagerberg
http://arxiv.org/abs/2104.07535v1
• [cs.CL]Simultaneous Multi-Pivot Neural Machine Translation
Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty
http://arxiv.org/abs/2104.07410v1
• [cs.CL]Sometimes We Want Translationese
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
http://arxiv.org/abs/2104.07623v1
• [cs.CL]Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing
Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly
http://arxiv.org/abs/2104.07275v1
• [cs.CL]Static Embeddings as Efficient Knowledge Bases?
Philipp Dufter, Nora Kassner, Hinrich Schütze
http://arxiv.org/abs/2104.07094v1
• [cs.CL]SummScreen: A Dataset for Abstractive Screenplay Summarization
Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
http://arxiv.org/abs/2104.07091v1
• [cs.CL]SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani
http://arxiv.org/abs/2104.07605v1
• [cs.CL]Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Matteo Alleman, Jonathan Mamou, Miguel A Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
http://arxiv.org/abs/2104.07578v1
• [cs.CL]TWEAC: Transformer with Extendable QA Agent Classifiers
Gregor Geigle, Nils Reimers, Andreas Rücklé, Iryna Gurevych
http://arxiv.org/abs/2104.07081v1
• [cs.CL]The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
Yuchen Lian, Arianna Bisazza, Tessa Verhoef
http://arxiv.org/abs/2104.07637v1
• [cs.CL]The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller
http://arxiv.org/abs/2104.07123v1
• [cs.CL]The Role of Context in Detecting Previously Fact-Checked Claims
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov
http://arxiv.org/abs/2104.07423v1
• [cs.CL]Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
Hossein Rajaby Faghihi, Parisa Kordjamshidi
http://arxiv.org/abs/2104.07635v1
• [cs.CL]TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
Bai Li, Frank Rudzicz
http://arxiv.org/abs/2104.07244v1
• [cs.CL]Towards Deconfounding the Influence of Subject’s Demographic Characteristics in Question Answering
Maharshi Gor, Kellie Webster, Jordan Boyd-Graber
http://arxiv.org/abs/2104.07571v1
• [cs.CL]Tracking entities in technical procedures — a new dataset and baselines
Saransh Goyal, Pratyush Pandey, Garima Gaur, Subhalingam D, Srikanta Bedathur, Maya Ramanath
http://arxiv.org/abs/2104.07378v1
• [cs.CL]TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang
http://arxiv.org/abs/2104.07302v1
• [cs.CL]UDALM: Unsupervised Domain Adaptation through Language Modeling
Constantinos Karouzos, Georgios Paraskevopoulos, Alexandros Potamianos
http://arxiv.org/abs/2104.07078v1
• [cs.CL]UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking
Kyoung-Rok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Heecheol Seo
http://arxiv.org/abs/2104.07198v1
• [cs.CL]UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
Phu Gia Hoang, Luan Thanh Nguyen, Kiet Van Nguyen
http://arxiv.org/abs/2104.07376v1
• [cs.CL]Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
http://arxiv.org/abs/2104.07478v1
• [cs.CL]Unmasking the Mask — Evaluating Social Biases in Masked Language Models
Masahiro Kaneko, Danushka Bollegala
http://arxiv.org/abs/2104.07496v1
• [cs.CL]What Makes a Scientific Paper be Accepted for Publication?
Panagiotis Fytas, Georgios Rizos, Lucia Specia
http://arxiv.org/abs/2104.07112v1
• [cs.CL]XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson
http://arxiv.org/abs/2104.07412v1
• [cs.CL]Zero-Shot Cross-lingual Semantic Parsing
Tom Sherborne, Mirella Lapata
http://arxiv.org/abs/2104.07554v1
• [cs.CR]An Explainable Machine Learning-based Network Intrusion Detection System for Enabling Generalisability in Securing IoT Networks
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
http://arxiv.org/abs/2104.07183v1
• [cs.CR]Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning
Lei Zhang, Wei Bai, Wei Li, Shiming Xia, Qibin Zheng
http://arxiv.org/abs/2104.07195v1
• [cs.CR]Measuring the Impact of Blockchain and Smart Contract on Construction Supply Chain Visibility
Hesam Hamledari, Martin Fischer
http://arxiv.org/abs/2104.07532v1
• [cs.CR]Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Mingfu Xue, Can He, Shichang Sun, Jian Wang, Weiqiang Liu
http://arxiv.org/abs/2104.07395v1
• [cs.CV]3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild
Hongsuk Choi, Gyeongsik Moon, JoonKyu Park, Kyoung Mu Lee
http://arxiv.org/abs/2104.07300v1
• [cs.CV]A Decomposition Model for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, Yuwei Wu
http://arxiv.org/abs/2104.07516v1
• [cs.CV]A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li
http://arxiv.org/abs/2104.07256v1
• [cs.CV]A Simple Baseline for StyleGAN Inversion
Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu
http://arxiv.org/abs/2104.07661v1
• [cs.CV]A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang
http://arxiv.org/abs/2104.07645v1
• [cs.CV]Action Segmentation with Mixed Temporal Domain Adaptation
Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib
http://arxiv.org/abs/2104.07461v1
• [cs.CV]Adaptive Intermediate Representations for Video Understanding
Juhana Kangaspunta, AJ Piergiovanni, Rico Jonschkowski, Michael Ryoo, Anelia Angelova
http://arxiv.org/abs/2104.07135v1
• [cs.CV]An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE
Kamal Chandra Paul, Semih Aslan
http://arxiv.org/abs/2104.07234v1
• [cs.CV]Audio-Driven Emotional Video Portraits
Xinya Ji, Hang Zhou, Kaisiyuan Wang, Wayne Wu, Chen Change Loy, Xun Cao, Feng Xu
http://arxiv.org/abs/2104.07452v1
• [cs.CV]Camera View Adjustment Prediction for Improving Image Composition
Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss, Chun-Te Chu, Philip Andrew Mansfield, Lior Shapira, Colvin Pitts
http://arxiv.org/abs/2104.07608v1
• [cs.CV]ContactOpt: Optimizing Contact to Improve Grasps
Patrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo, Samarth Brahmbhatt, Charles C. Kemp
http://arxiv.org/abs/2104.07267v1
• [cs.CV]Continual Learning From Unlabeled Data Via Deep Clustering
Jiangpeng He, Fengqing Zhu
http://arxiv.org/abs/2104.07164v1
• [cs.CV]Convolutions for Spatial Interaction Modeling
Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric
http://arxiv.org/abs/2104.07182v1
• [cs.CV]Depth Completion using Plane-Residual Representation
Byeong-Uk Lee, Kyunghyun Lee, In So Kweon
http://arxiv.org/abs/2104.07350v1
• [cs.CV]Do Deep Neural Networks Forget Facial Action Units? — Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
Pooja Prajod, Dominik Schiller, Tobias Huber, Elisabeth André
http://arxiv.org/abs/2104.07389v1
• [cs.CV]Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Hongyi Pan, Diaa Dabawi, Ahmet Enis Cetin
http://arxiv.org/abs/2104.07085v1
• [cs.CV]Federated Learning-based Active Authentication on Mobile Devices
Poojan Oza, Vishal M. Patel
http://arxiv.org/abs/2104.07158v1
• [cs.CV]GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu
http://arxiv.org/abs/2104.07659v1
• [cs.CV]Geometry-Free View Synthesis: Transformers and no 3D Priors
Robin Rombach, Patrick Esser, Björn Ommer
http://arxiv.org/abs/2104.07652v1
• [cs.CV]Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni
http://arxiv.org/abs/2104.07196v1
• [cs.CV]Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation
Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber
http://arxiv.org/abs/2104.07528v1
• [cs.CV]Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/2104.07240v1
• [cs.CV]Learning structure-aware semantic segmentation with image-level supervision
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
http://arxiv.org/abs/2104.07216v1
• [cs.CV]PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Chao Cai, Ruinan Jin, Peng Wang, Liyuan Ye, Hongbo Jiang, Jun Luo
http://arxiv.org/abs/2104.07177v1
• [cs.CV]Points as Queries: Weakly Semi-supervised Object Detection by Points
Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei Zhang, Jian Sun
http://arxiv.org/abs/2104.07434v1
• [cs.CV]SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, Michael J. Black
http://arxiv.org/abs/2104.07660v1
• [cs.CV]Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
Vladan Stojnić, Vladimir Risojević
http://arxiv.org/abs/2104.07070v1
• [cs.CV]Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence
Hyeonwoo Yu, Jean Oh
http://arxiv.org/abs/2104.07077v1
• [cs.CV]Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie
http://arxiv.org/abs/2104.07658v1
• [cs.CV]SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan, Haijun Zhang
http://arxiv.org/abs/2104.07303v1
• [cs.CV]Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
Chunyu Li, Yusuke Monno, Masatoshi Okutomi
http://arxiv.org/abs/2104.07308v1
• [cs.CV]StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
Moustafa Meshry, Yixuan Ren, Larry S Davis, Abhinav Shrivastava
http://arxiv.org/abs/2104.07098v1
• [cs.CV]Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
http://arxiv.org/abs/2104.07538v1
• [cs.CV]Training Deep Capsule Networks with Residual Connections
Josef Gugglberger, David Peer, Antonio Rodriguez-Sanchez
http://arxiv.org/abs/2104.07393v1
• [cs.CV]TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
Zitong Yu, Xiaobai Li, Pichao Wang, Guoying Zhao
http://arxiv.org/abs/2104.07419v1
• [cs.CV]Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
Boyang Wan, Yuming Fang, Xue Xia, Jiajie Mei
http://arxiv.org/abs/2104.07268v1
• [cs.CV]Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
http://arxiv.org/abs/2104.07473v1
• [cs.CY]Otaku: Intelligent Management System for Student-Intensive Dormitory
Yuanzhe Jin, Chenrui Zhang, Maorong Wang
http://arxiv.org/abs/2104.07630v1
• [cs.CY]Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers
Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz
http://arxiv.org/abs/2104.07237v1
• [cs.DC]Coalescent Computing
Kyle C. Hale
http://arxiv.org/abs/2104.07122v1
• [cs.DC]Minimizing privilege for building HPC containers
Reid Priedhorsky, R. Shane Canon, Timothy Randles, Andrew J. Younge
http://arxiv.org/abs/2104.07508v1
• [cs.DC]Towards a Fast and Accurate Model of Intercontact Times for Epidemic Routing
Fabricio Cravo, Thomas Nowak
http://arxiv.org/abs/2104.07298v1
• [cs.DC]Who Needs Consensus? A Distributed Monetary System Between Rational Agents via Hearsay
Yanni Georghiades, Robert Streit, Vijay Garg
http://arxiv.org/abs/2104.07574v1
• [cs.DL]ROC: An Ontology for Country Responses towards COVID-19
Jamal Al Qundus, Ralph Schäfermeier, Naouel Karam, Silvio Peikert, Adrian Paschke
http://arxiv.org/abs/2104.07345v1
• [cs.HC]Towards A Process Model for Co-Creating AI Experiences
Hariharan Subramonyam, Colleen Seifert, Eytan Adar
http://arxiv.org/abs/2104.07595v1
• [cs.IR]A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search
Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke
http://arxiv.org/abs/2104.07096v1
• [cs.IR]COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Luyu Gao, Zhuyun Dai, Jamie Callan
http://arxiv.org/abs/2104.07186v1
• [cs.IR]DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie
http://arxiv.org/abs/2104.07360v1
• [cs.IR]Deep Learning-based Online Alternative Product Recommendations at Scale
Mingming Guo, Nian Yan, Xiquan Cui, San He Wu, Unaiza Ahsan, Rebecca West, Khalifeh Al Jadda
http://arxiv.org/abs/2104.07572v1
• [cs.IR]Dynamic Graph Neural Networks for Sequential Recommendation
Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang
http://arxiv.org/abs/2104.07368v1
• [cs.IR]Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2104.07413v1
• [cs.IR]Hyperbolic Neural Collaborative Recommender
Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
http://arxiv.org/abs/2104.07414v1
• [cs.IR]MM-Rec: Multimodal News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2104.07407v1
• [cs.IR]Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2104.07404v1
• [cs.IT]Extending two families of maximum rank distance codes
Alessandro Neri, Paolo Santonastaso, Ferdinando Zullo
http://arxiv.org/abs/2104.07602v1
• [cs.IT]On Missing Mass Variance
Maciej Skorski
http://arxiv.org/abs/2104.07028v1
• [cs.IT]On the existence of quaternary Hermitian LCD codes with Hermitian dual distance
Keita Ishizuka, Ken Saito
http://arxiv.org/abs/2104.07432v1
• [cs.IT]Performance of CRC Concatenated Pre-transformed RM-Polar Codes
Bin Li, Jiaqi Gu, Huazi Zhang
http://arxiv.org/abs/2104.07486v1
• [cs.IT]Phase noise in communication systems: from measures to models
Amina Piemontese, Giulio Colavolpe, Thomas Eriksson
http://arxiv.org/abs/2104.07264v1
• [cs.IT]Stochastic-Adversarial Channels : Online Adversaries With Feedback Snooping
Vinayak Suresh, Eric Ruzomberka, David J. Love
http://arxiv.org/abs/2104.07194v1
• [cs.LG]Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
http://arxiv.org/abs/2104.05588v2
• [cs.LG]All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks
Cheng-Wei Huang, Tim-Wei Chen, Juinn-Dar Huang
http://arxiv.org/abs/2104.07329v1
• [cs.LG]Attentive Max Feature Map for Acoustic Scene Classification with Joint Learning considering the Abstraction of Classes
Hye-jin Shim, Ju-ho Kim, Jee-weon Jung, Ha-Jin Yu
http://arxiv.org/abs/2104.07213v1
• [cs.LG]Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system
Fabrice Daniel
http://arxiv.org/abs/2104.07440v1
• [cs.LG]D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology
Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie
http://arxiv.org/abs/2104.07365v1
• [cs.LG]Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
http://arxiv.org/abs/2104.07654v1
• [cs.LG]DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin Md, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
http://arxiv.org/abs/2104.06700v2
• [cs.LG]Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Joonyoung Yi, Buru Chang
http://arxiv.org/abs/2104.07553v1
• [cs.LG]Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold, Fei Sha
http://arxiv.org/abs/2104.07255v1
• [cs.LG]Exact and Approximate Hierarchical Clustering Using A*
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum
http://arxiv.org/abs/2104.07061v1
• [cs.LG]Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
Jianlong Zhou, Weidong Huang, Fang Chen
http://arxiv.org/abs/2104.07377v1
• [cs.LG]Fast Private Parameter Learning and Evaluation for Sum-Product Networks
Ernst Althaus, Mohammad Sadeq Dousti, Stefan Kramer
http://arxiv.org/abs/2104.07353v1
• [cs.LG]FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
http://arxiv.org/abs/2104.07145v1
• [cs.LG]FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
http://arxiv.org/abs/2104.07515v1
• [cs.LG]Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford, Alvaro Ovalle
http://arxiv.org/abs/2104.07294v1
• [cs.LG]HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony Bagnall
http://arxiv.org/abs/2104.07551v1
• [cs.LG]Iterative Barycenter Flows
David I. Inouye, Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar
http://arxiv.org/abs/2104.07232v1
• [cs.LG]Lorentzian Graph Convolutional Networks
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
http://arxiv.org/abs/2104.07477v1
• [cs.LG]Membership-Mappings for Data Representation Learning
Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler
http://arxiv.org/abs/2104.07060v1
• [cs.LG]Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu
http://arxiv.org/abs/2104.07539v1
• [cs.LG]Multivariate Deep Evidential Regression
Nis Meinert, Alexander Lavin
http://arxiv.org/abs/2104.06135v2
• [cs.LG]NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Dieter Brughmans, David Martens
http://arxiv.org/abs/2104.07411v1
• [cs.LG]NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
http://arxiv.org/abs/2104.07269v1
• [cs.LG]On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
http://arxiv.org/abs/2104.07531v1
• [cs.LG]Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman, J. Zico Kolter
http://arxiv.org/abs/2104.07167v1
• [cs.LG]Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
http://arxiv.org/abs/2104.07446v1
• [cs.LG]Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
http://arxiv.org/abs/rg/abs/2104.07446v1
• [cs.LG]Robust Neural Networks Outperform Attitude Estimation Filters
Daniel Weber, Clemens Gühmann, Thomas Seel
http://arxiv.org/abs/2104.07391v1
• [cs.LG]Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning
Rahul Madhavan, Gugan Thoppe, Hemanta Makwana
http://arxiv.org/abs/2104.07361v1
• [cs.LG]See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
http://arxiv.org/abs/2104.07586v1
• [cs.LG]Self-Supervised Exploration via Latent Bayesian Surprise
Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt
http://arxiv.org/abs/2104.07495v1
• [cs.LG]Sparse online relative similarity learning
Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
http://arxiv.org/abs/2104.07501v1
• [cs.LG]State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
B. Azimian, R. Sen Biswas, A. Pal, Lang Tong, Gautam Dasarathy
http://arxiv.org/abs/2104.07208v1
• [cs.LG]The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
Aiden Durrant, Milan Markovic, David Matthews, David May, Jessica Enright, Georgios Leontidis
http://arxiv.org/abs/2104.07468v1
• [cs.LG]Towards Handling Uncertainty-at-Source in AI — A Review and Next Steps for Interval Regression
Shaily Kabir, Christian Wagner, Zack Ellerby
http://arxiv.org/abs/2104.07245v1
• [cs.LG]Unsupervised low-rank representations for speech emotion recognition
Georgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas, Theodoros Giannakopoulos, Alexandros Potamianos
http://arxiv.org/abs/2104.07072v1
• [cs.LG]Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang, Sunny Verma, Borui Cai, Jiaojiao Jiang, Kun Yu, Fang Chen, Shui Yu
http://arxiv.org/abs/2104.07295v1
• [cs.LG]When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
Chuanhao Li, Qingyun Wu, Hongning Wang
http://arxiv.org/abs/2104.07150v1
• [cs.MS]mlf-core: a framework for deterministic machine learning
Lukas Heumos, Philipp Ehmele, Kevin Menden, Luis Kuhn Cuellar, Edmund Miller, Steffen Lemke, Gisela Gabernet, Sven Nahnsen
http://arxiv.org/abs/2104.07651v1
• [cs.NE]Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays
Pablo Moscato, Hugh Craig, Gabriel Egan, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon Corrales de Oliveira
http://arxiv.org/abs/2104.05929v2
• [cs.NE]On the Assessment of Benchmark Suites for Algorithm Comparison
David Issa Mattos, Lucas Ruud, Jan Bosch, Helena Holmström Olsson
http://arxiv.org/abs/2104.07381v1
• [cs.NI]QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices
Saideep Tiku, Prathmesh Kale, Sudeep Pasricha
http://arxiv.org/abs/2104.07521v1
• [cs.NI]Serverless Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Yuben Qu, Haipeng Dai, Yan Zhuang, Jiafa Chen, Chao Dong, Fan Wu, Song Guo
http://arxiv.org/abs/2104.07557v1
• [cs.RO]Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
Erkan Kayacan, Erdal Kayacan, Herman Ramon, Wouter Saeys
http://arxiv.org/abs/2104.07160v1
• [cs.RO]Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions
Philip Pannagger, Demin Nalic, Faris Orucevic, Arno Eichberger, Branko Rogic
http://arxiv.org/abs/2104.07481v1
• [cs.RO]Auto-Tuned Sim-to-Real Transfer
Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak
http://arxiv.org/abs/2104.07662v1
• [cs.RO]Data-Driven Robust Barrier Functions for Safe, Long-Term Operation
Yousef Emam, Paul Glotfelter, Sean Wilson, Gennaro Notomista, Magnus Egerstedt
http://arxiv.org/abs/2104.07592v1
• [cs.RO]Data-driven Actuator Selection for Artificial Muscle-Powered Robots
Taylor West Henderson, Yuheng Zhi, Angela Liu, Michael C. Yip
http://arxiv.org/abs/2104.07168v1
• [cs.RO]Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Jingda Wu, Zhiyu Huang, Chao Huang, Zhongxu Hu, Peng Hang, Yang Xing, Chen Lv
http://arxiv.org/abs/2104.07246v1
• [cs.RO]Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong
http://arxiv.org/abs/2104.07282v1
• [cs.RO]Tabletop Object Rearrangement: Team ACRV’s Entry to OCRTOC
Zheyu Zhang, Rhys Newbury, Kerry He, Steven Martin, Gavin Suddrey, Jun Kwan, Peter Corke, Akansel Cosgun
http://arxiv.org/abs/2104.07188v1
• [cs.SD]Audio feature ranking for sound-based COVID-19 patient detection
Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo
http://arxiv.org/abs/2104.07128v1
• [cs.SD]Continual Learning for Fake Audio Detection
Haoxin Ma, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Chenglong Wang
http://arxiv.org/abs/2104.07286v1
• [cs.SD]Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching
Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki
http://arxiv.org/abs/2104.07491v1
• [cs.SD]On the Design of Deep Priors for Unsupervised Audio Restoration
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
http://arxiv.org/abs/2104.07161v1
• [cs.SD]Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt
http://arxiv.org/abs/2104.07519v1
• [cs.SE]OneLog: Towards End-to-End Training in Software Log Anomaly Detection
Shayan Hashemi, Mika Mäntylä
http://arxiv.org/abs/2104.07324v1
• [cs.SI]Community-Based Fact-Checking on Twitter’s Birdwatch Platform
Nicolas Pröllochs
http://arxiv.org/abs/2104.07175v1
• [cs.SI]Tourist route optimization in the context of Covid-19 pandemic
Cristina Maria Pacurar, Ruxandra-Gabriela Albu, Victor-Dan Pacurar
http://arxiv.org/abs/2104.07663v1
• [econ.GN]Curse of Democracy: Evidence from 2020
Yusuke Narita, Ayumi Sudo
http://arxiv.org/abs/2104.07617v1
• [econ.GN]Quantifying firm-level economic systemic risk from nation-wide supply networks
Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner
http://arxiv.org/abs/2104.07260v1
• [eess.AS]Conditional independence for pretext task selection in Self-supervised speech representation learning
Salah Zaiem, Titouan Parcollet, Slim Essid
http://arxiv.org/abs/2104.07388v1
• [eess.AS]Speaker Attentive Speech Emotion Recognition
Clément Le Moine, Nicolas Obin, Axel Roebel
http://arxiv.org/abs/2104.07288v1
• [eess.AS]Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
Clément Le Moine Veillon, Nicolas Obin, Axel Roebel
http://arxiv.org/abs/2104.07283v1
• [eess.IV]Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan
http://arxiv.org/abs/2104.07056v1
• [eess.IV]BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution
Fanyi Wang, Haotian Hu, Cheng Shen
http://arxiv.org/abs/2104.07566v1
• [eess.IV]Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm
Mohammad Saber Iraji, Mohammad-Reza Feizi-Derakhshi, Jafar Tanha
http://arxiv.org/abs/2104.07279v1
• [eess.IV]Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
http://arxiv.org/abs/2104.07636v1
• [eess.IV]SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images
Yih-Cherng Lee, Ling Yeung
http://arxiv.org/abs/2104.07083v1
• [eess.IV]Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye
http://arxiv.org/abs/2104.07235v1
• [eess.SP]Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
Jiguang He, Nhan Thanh Nguyen, Rafaela Schroeder, Visa Tapio, Joonas Kokkoniemi, Markku Juntti
http://arxiv.org/abs/2104.07115v1
• [eess.SP]Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study
N. Korucuk, C. Polat, E. S. Gunduz, O. Karaman, V. Tosun, M. Onac, N. Yildirim, Y. Cete, K. Polat
http://arxiv.org/abs/2104.07427v1
• [eess.SY]Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks
Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel
http://arxiv.org/abs/2104.07620v1
• [eess.SY]Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
Samuel Greenbank, David A. Howey
http://arxiv.org/abs/2104.07576v1
• [eess.SY]Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
Manoj Basnet, Manoj Basnet, Mohd. Hasan Ali, Dipankar Dasgupta
http://arxiv.org/abs/2104.07409v1
• [math.MG]On the Vapnik-Chervonenkis dimension of products of intervals in
Alirio Gómez Gómez, Pedro L. Kaufmann
http://arxiv.org/abs/2104.07136v1
• [math.OC]Internet of quantum blockchains: security modeling and dynamic resource pricing for stable digital currency
Wanyang Dai
http://arxiv.org/abs/2104.07323v1
• [math.ST]Logical contradictions in the One-way ANOVA and Tukey-Kramer multiple comparisons tests with more than two groups of observations
Vladimir Gurvich, Mariya Naumova
http://arxiv.org/abs/2104.07552v1
• [math.ST]Polynomial methods in statistical inference: theory and practice
Yihong Wu, Pengkun Yang
http://arxiv.org/abs/2104.07317v1
• [math.ST]Rates of Bootstrap Approximation for Eigenvalues in High-Dimensional PCA
Junwen Yao, Miles E. Lopes
http://arxiv.org/abs/2104.07328v1
• [q-bio.NC]A Novel Neuron Model of Visual Processor
Jizhao Liu, Jing Lian, J C Sprott, Yide Ma
http://arxiv.org/abs/2104.07257v1
• [q-bio.NC]Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L. F. Abbott
http://arxiv.org/abs/2104.07059v1
• [q-fin.ST]A comparative study of Different Machine Learning Regressors For Stock Market Prediction
Nazish Ashfaq, Zubair Nawaz, Muhammad Ilyas
http://arxiv.org/abs/2104.07469v1
• [stat.AP]COVID-19 Clinical footprint to infer about mortality
Carlos E. Rodríguez, Ramsés H. Mena
http://arxiv.org/abs/2104.07172v1
• [stat.CO]Identification of unknown parameters and prediction with hierarchical matrices
Alexander Litvinenko, Ronald Kriemann, Vladimir Berikov
http://arxiv.org/abs/2104.07146v1
• [stat.CO]Reference and Probability-Matching Priors for the Parameters of a Univariate Student -Distribution
A. J. van der Merwe, M. J. von Maltitz, J. H. Meyer
http://arxiv.org/abs/2104.07386v1
• [stat.CO]Variational Inference for the Smoothing Distribution in Dynamic Probit Models
Augusto Fasano, Giovanni Rebaudo
http://arxiv.org/abs/2104.07537v1
• [stat.ME]A Critique of Differential Abundance Analysis, and Advocacy for an Alternative
Thomas P Quinn, Elliott Gordon-Rodriguez, Ionas Erb
http://arxiv.org/abs/2104.07266v1
• [stat.ME]Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña, Argimiro Arratia, Pedro Puig
http://arxiv.org/abs/2104.07575v1
• [stat.ME]Estimation of the Parameters of Vector Autoregressive (VAR) Time Series Model with Symmetric Stable Noise
Aastha M. Sathe, N. S. Upadhye
http://arxiv.org/abs/2104.07262v1
• [stat.ME]Fitting Infinitely divisible distribution: Case of Gamma-Variance Model
A. H. Nzokem
http://arxiv.org/abs/2104.07580v1
• [stat.ME]Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Hussein Hazimeh, Rahul Mazumder, Peter Radchenko
http://arxiv.org/abs/2104.07084v1
• [stat.ME]Partition-Mallows Model and Its Inference for Rank Aggregation
Wanchuang Zhu, Yingkai Jiang, Jun S. Liu, Ke Deng
http://arxiv.org/abs/2104.07261v1
• [stat.ME]Regularized regression on compositional tree with application to MRI analysis
*Bingkai Wang, Brian S. Caff
5c41
o, Xi Luo, Chin-Fu Liu, Andreia V. Faria, Michael I. Miller, Yi Zhao*
http://arxiv.org/abs/2104.07113v1
• [stat.ME]Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara, Jeremias Knoblauch, François-Xavier Briol, Chris. J. Oates
http://arxiv.org/abs/2104.07359v1
• [stat.ML]Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
Fushing Hsieh, Xiaodong Wang
http://arxiv.org/abs/2104.07191v1
• [stat.ML]Mean-Squared Accuracy of Good-Turing Estimator
Maciej Skorski
69d
/2104.07029v1](http://arxiv.org/abs/
69d
/2104.07029v1)
• [stat.ML]Mean-Squared Accuracy of Good-Turing Estimator
Maciej Skorski