cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
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.SI - 社交网络与信息网络
econ.EM - 计量经济学
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-ph - 数学物理
math.CO - 组合数学
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
q-bio.MN - 分子网络
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
q-fin.CP -计算金融学
q-fin.PR - 证券定价
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]A Negation Quantum Decision Model to Predict the Interference Effect in Categorization
• [cs.AI]A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment
• [cs.AI]A SAR speckle filter based on Residual Convolutional Neural Networks
• [cs.AI]A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings
• [cs.AI]A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings
• [cs.AI]Automatic glissade determination through a mathematical model in electrooculographic records
• [cs.AI]Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference
• [cs.AI]Capturing Row and Column Semantics in Transformer Based Question Answering over Tables
• [cs.AI]Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning
• [cs.AI]Deep Latent Emotion Network
6000
for Multi-Task Learning
• [cs.AI]Does language help generalization in vision models?
• [cs.AI]Dual-View Distilled BERT for Sentence Embedding
• [cs.AI]Dynamically Addressing Unseen Rumor via Continual Learning
• [cs.AI]Exploring Deep Learning for Joint Audio-Visual Lip Biometrics
• [cs.AI]Fair Representation Learning for Heterogeneous Information Networks
• [cs.AI]Generating Diverse and Competitive Play-Styles for Strategy Games
• [cs.AI]Generating explanations for answer set programming applications
• [cs.AI]Knowledge Graph Anchored InformationExtraction for Domain-Specific Insights
• [cs.AI]Low-rank State-action Value-function Approximation
• [cs.AI]Modular Procedural Generation for Voxel Maps
• [cs.AI]Multi-context Attention Fusion Neural Network for Software Vulnerability Identification
• [cs.AI]Multi-objective Feature Selection with Missing Data in Classification
• [cs.AI]Multidimensional Scaling for Gene Sequence Data with Autoencoders
• [cs.AI]Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
• [cs.AI]Planning with Expectation Models for Control
• [cs.AI]Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images
• [cs.AI]TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
• [cs.AI]TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
• [cs.AI]Zero-shot Slot Filling with DPR and RAG
• [cs.CL]”Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
• [cs.CL]A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques
• [cs.CL]A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering
• [cs.CL]A Stylistic Analysis of Honest Deception: The Case of Seinfeld TV Series Sitcom
• [cs.CL]A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
• [cs.CL]A multilabel approach to morphosyntactic probing
• [cs.CL]A recipe for annotating grounded clarifications
• [cs.CL]AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples
• [cs.CL]Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition
• [cs.CL]Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers
• [cs.CL]Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
• [cs.CL]AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
• [cs.CL]Are Word Embedding Methods Stable and Should We Care About It?
• [cs.CL]Attacking Text Classifiers via Sentence Rewriting Sampler
• [cs.CL]Attention-based Clinical Note Summarization
• [cs.CL]BERTić — The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian
• [cs.CL]Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
• [cs.CL]BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
• [cs.CL]CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion
• [cs.CL]Can NLI Models Verify QA Systems’ Predictions?
• [cs.CL]Case-based Reasoning for Natural Language Queries over Knowledge Bases
• [cs.CL]Characterizing Idioms: Conventionality and Contingency
• [cs.CL]Chinese Sentences Similarity via Cross-Attention Based Siamese Network
• [cs.CL]Code Structure Guided Transformer for Source Code Summarization
• [cs.CL]Combating Temporal Drift in Crisis with Adapted Embeddings
• [cs.CL]Competency Problems: On Finding and Removing Artifacts in Language Data
• [cs.CL]Consistent Accelerated Inference via Confident Adaptive Transformers
• [cs.CL]Constrained Language Models Yield Few-Shot Semantic Parsers
• [cs.CL]Context-Aware Interaction Network for Question Matching
• [cs.CL]Contrastive Out-of-Distribution Detection for Pretrained Transformers
• [cs.CL]CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge
• [cs.CL]CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
• [cs.CL]Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems
• [cs.CL]Customized determination of stop words using Random Matrix Theory approach
• [cs.CL]DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators’ Labels
• [cs.CL]DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
• [cs.CL]Data Distillation for Text Classification
• [cs.CL]Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
• [cs.CL]Demystifying the Better Performance of Position Encoding Variants for Transformer
• [cs.CL]DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
• [cs.CL]Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
• [cs.CL]Documenting the English Colossal Clean Crawled Corpus
• [cs.CL]Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
• [cs.CL]Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
• [cs.CL]Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation
• [cs.CL]Enriching a Model’s Notion of Belief using a Persistent Memory
• [cs.CL]Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
• [cs.CL]Explaining Answers with Entailment Trees
• [cs.CL]Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation
• [cs.CL]Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
• [cs.CL]FedNLP: A Research Platform for Federated Learning in Natural Language Processing
• [cs.CL]Few-shot Learning for Topic Modeling
• [cs.CL]Flexible Operations for Natural Language Deduction
• [cs.CL]Frequency-based Distortions in Contextualized Word Embeddings
• [cs.CL]GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
• [cs.CL]Generating Related Work
• [cs.CL]Generative Context Pair Selection for Multi-hop Question Answering
• [cs.CL]Go Forth and Prosper: Language Modeling with Ancient Textual History
• [cs.CL]GooAQ: Open Question Answering with Diverse Answer Types
• [cs.CL]Guilt by Association: Emotion Intensities in Lexical Representations
• [cs.CL]GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations
• [cs.CL]Hierarchical Transformer Networks for Longitudinal Clinical Document Classification
• [cs.CL]IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
• [cs.CL]IITP in COLIEE@ICAIL 2019: Legal Information Retrieval usingBM25 and BERT
• [cs.CL]Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
• [cs.CL]Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
• [cs.CL]Improving Neural Machine Translation with Compact Word Embedding Tables
• [cs.CL]Improving Neural Model Performance through Natural Language Feedback on Their Explanations
• [cs.CL]Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
• [cs.CL]Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
• [cs.CL]Intent Features for Rich Natural Language Understanding
• [cs.CL]Joint Passage Ranking for Diverse Multi-Answer Retrieval
• [cs.CL]Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
• [cs.CL]Knowledge Neurons in Pretrained Transformers
• [cs.CL]LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
• [cs.CL]Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction
• [cs.CL]LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
• [cs.CL]Learning from Noisy Labels for Entity-Centric Information Extraction
• [cs.CL]Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification
• [cs.CL]Learning with Instance Bundles for Reading Comprehension
• [cs.CL]Lifelong Learning of Few-shot Learners across NLP Tasks
• [cs.CL]Linguistic dependencies and statistical dependence
• [cs.CL]Low-rank Subspaces for Unsupervised Entity Linking
• [cs.CL]Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification
• [cs.CL]Minimal Supervision for Morphological Inflection
• [cs.CL]Misinfo Belief Frames: A Case Study on Covid & Climate News
• [cs.CL]Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments
• [cs.CL]Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
• [cs.CL]Monotonicity Marking from Universal Dependency Trees
• [cs.CL]Moving on from OntoNotes: Coreference Resolution Model Transfer
• [cs.CL]Multi-Perspective Abstractive Answer Summarization
• [cs.CL]Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
• [cs.CL]Multilingual and Cross-Lingual Intent Detection from Spoken Data
• [cs.CL]Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions
• [cs.CL]Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
• [cs.CL]Neural String Edit Distance
• [cs.CL]Neural Unsupervised Semantic Role Labeling
• [cs.CL]News Meets Microblog: Hashtag Annotation via Retriever-Generator
• [cs.CL]No comments: Addressing commentary sections in websites’ analyses
• [cs.CL]On the Faithfulness Measurements for Model Interpretations
• [cs.CL]On the Influence of Masking Policies in Intermediate Pre-training
• [cs.CL]On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation
• [cs.CL]On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles
• [cs.CL]Probing for Bridging Inference in Transformer Language Models
• [cs.CL]Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction
• [cs.CL]Question Decomposition with Dependency Graphs
• [cs.CL]Reference-based Weak Supervision for Answer Sentence Selection using Web Data
• [cs.CL]Rethinking Network Pruning — under the Pre-train and Fine-tune Paradigm
• [cs.CL]Revealing Persona Biases in Dialogue Systems
• [cs.CL]Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
• [cs.CL]Robust Embeddings Via Distributions
• [cs.CL]SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
• [cs.CL]SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
• [cs.CL]Scattered Factor Universality — The Power of the Remainder
• [cs.CL]Schema Curation via Causal Association Rule Mining
• [cs.CL]SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
• [cs.CL]Sentence Alignment with Parallel Documents Helps Biomedical Machine Translation
• [cs.CL]Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation
• [cs.CL]Sentiment Classification in Swahili Language Using Multilingual BERT
• [cs.CL]Sequential Cross-Document Coreference Resolution
• [cs.CL]SimCSE: Simple Contrastive Learning of Sentence Embeddings
• [cs.CL]Simple and Efficient ways to Improve REALM
• [cs.CL]Stream-level Latency Evaluation for Simultaneous Machine Translation
• [cs.CL]Syntactic structures and the general Markov models
• [cs.CL]Text2App: A Framework for Creating Android Apps from Text Descriptions
• [cs.CL]The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech
• [cs.CL]The Power of Scale for Parameter-Efficient Prompt Tuning
• [cs.CL]The Preposition Project
• [cs.CL]The Topic Confusion Task: A Novel Scenario for Authorship Attribution
• [cs.CL]UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
• [cs.CL]UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
• [cs.CL]Unsupervised Deep Keyphrase Generation
• [cs.CL]Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
• [cs.CL]When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
• [cs.CL]Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
• [cs.CL]Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model
• [cs.CL]Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
• [cs.CL]XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
• [cs.CL]Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
• [cs.CL]mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
• [cs.CR]Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense
• [cs.CR]EXTRACTOR: Extracting Attack Behavior from Threat Reports
• [cs.CR]TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
• [cs.CV]A Competitive Method to VIPriors Object Detection Challenge
• [cs.CV]A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields
• [cs.CV]A Mathematical Analysis of Learning Loss for Active Learning in Regression
• [cs.CV]A Multi-Task Deep Learning Framework for Building Footprint Segmentation
• [cs.CV]A Surface Geometry Model for LiDAR Depth Completion
• [cs.CV]A Two-stage Deep Network for High Dynamic Range Image Reconstruction
• [cs.CV]A survey of image labelling for computer vision applications
• [cs.CV]Age Range Estimation using MTCNN and VGG-Face Model
• [cs.CV]An Improved Discriminative Optimization for 3D Rigid Point Cloud Registration
• [cs.CV]An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
• [cs.CV]Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review
• [cs.CV]Attention in Attention Network for Image Super-Resolution
• [cs.CV]Automated Mathematical Equation Structure Discovery for Visual Analysis
• [cs.CV]Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning
• [cs.CV]BM-NAS: Bilevel Multimodal Neural Architecture Search
• [cs.CV]Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor
• [cs.CV]CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
• [cs.CV]CLIPScore: A Reference-free Evaluation Metric for Image Captioning
• [cs.CV]CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
• [cs.CV]Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting
• [cs.CV]Coarse-to-Fine Searching for Efficient Generative Adversarial Networks
• [cs.CV]Color Variants Identification via Contrastive Self-Supervised Representation Learning
• [cs.CV]Compact CNN Structure Learning by Knowledge Distillation
• [cs.CV]Comparing Correspondences: Video Prediction with Correspondence-wise Losses
• [cs.CV]Conditional Variational Capsule Network for Open Set Recognition
• [cs.CV]Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking
• [cs.CV]Contrastive Learning Improves Model Robustness Under Label Noise
• [cs.CV]Contrastive Learning for Compact Single Image Dehazing
• [cs.CV]Convolutional Neural Networks in Orthodontics: a review
• [cs.CV]Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
• [cs.CV]Cyclist Intention Detection: A Probabilistic Approach
• [cs.CV]DANICE: Domain adaptation without forgetting in neural image compression
• [cs.CV]Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
• [cs.CV]DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
• [cs.CV]Distilling Knowledge via Knowledge Review
• [cs.CV]Drowned out by the noise: Evidence for Tracking-free Motion Prediction
• [cs.CV]EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
• [cs.CV]Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine
• [cs.CV]Entropy-based Optimization via A* Algorithm for Parking Space Recommendation
• [cs.CV]Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
• [cs.CV]Fashion-Guided Adversarial Attack on Person Segmentation
• [cs.CV]Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal
• [cs.CV]Few-shot learning via tensor hallucination
• [cs.CV]FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling
• [cs.CV]Filtering Empty Camera Trap Images in Embedded Systems
• [cs.CV]Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
• [cs.CV]Gaze Perception in Humans and CNN-Based Model
• [cs.CV]Harvesting data revolution for transmission electron microscopy (TEM) using signal processing
• [cs.CV]Higher Order Recurrent Space-Time Transformer
• [cs.CV]I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition
• [cs.CV]IUPUI Driving Videos and Images in All Weather and Illumination Conditions
• [cs.CV]Image Inpainting with External-internal Learning and Monochromic Bottleneck
• [cs.CV]Infrared Beacons for Robust Localization
• [cs.CV]Inharmonious Region Localization
• [cs.CV]Kernel Agnostic Real-world Image Super-resolution
• [cs.CV]LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
• [cs.CV]LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
• [cs.CV]Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
• [cs.CV]Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
• [cs.CV]Let’s See Clearly: Contaminant Artifact Removal for Moving Cameras
• [cs.CV]Lidar Point Cloud Guided Monocular 3D Object Detection
• [cs.CV]Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach
• [cs.CV]Lottery Jackpots Exist in Pre-trained Models
• [cs.CV]Masked Face Recognition using ResNet-50
• [cs.CV]MonoGRNet: A General Framework for Monocular 3D Object Detection
• [cs.CV]Motion Vector Extrapolation for Video Object Detection
• [cs.CV]Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
• [cs.CV]Multi-person Implicit Reconstruction from a Single Image
• [cs.CV]Multi-scale Self-calibrated Network for Image Light Source Transfer
• [cs.CV]Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS
• [cs.CV]OSKDet: Towards Orientation-sensitive Keypoint Localization for Rotated Object Detection
• [cs.CV]Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
• [cs.CV]OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
• [cs.CV]On Training Sketch Recognizers for New Domains
• [cs.CV]One More Check: Making “Fake Background” Be Tracked Again
• [cs.CV]Optimal Pose and Shape Estimation for Category-level 3D Object Perception
• [cs.CV]PARE: Part Attention Regressor for 3D Human Body Estimation
• [cs.CV]Plants Don’t Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
• [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
• [cs.CV]RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks
• [cs.CV]Reconsidering CO2 emissions from Computer Vision
• [cs.CV]RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
• [cs.CV]Restoration of Video Frames from a Single Blurred Image with Motion Understanding
• [cs.CV]SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
• [cs.CV]Self-Paced Uncertainty Estimation for One-shot Person Re-Identification
• [cs.CV]Self-Supervised Pillar Motion Learning for Autonomous Driving
• [cs.CV]Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning
• [cs.CV]Single-view robot pose and joint angle estimation via render & compare
• [cs.CV]Solving Inefficiency of Self-supervised Representation Learning
• [cs.CV]Surrogate Gradient Field for Latent Space Manipulation
• [cs.CV]Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video
• [cs.CV]Temporal Query Networks for Fine-grained Video Understanding
• [cs.CV]TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases
• [cs.CV]Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor
• [cs.CV]The Intrinsic Dimension of Images and Its Impact on Learning
• [cs.CV]The hidden label-marginal biases of segmentation losses
• [cs.CV]Towards Efficient Convolutional Network Models with Filter Distribution Templates
• [cs.CV]Towards Open-World Text-Guided Face Image Generation and Manipulation
• [cs.CV]TransCrowd: Weakly-Supervised Crowd Counting with Transformer
• [cs.CV]TransVG: End-to-End Visual Grounding with Transformers
• [cs.CV]Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
• [cs.CV]Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
• [cs.CV]Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
• [cs.CV]VSpSR: Explorable Super-Resolution via Variational Sparse Representation
• [cs.CV]Vision-Based Guidance for Tracking Dynamic Objects
• [cs.CV]Visual Transformer Pruning
• [cs.CV]Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations
• [cs.CV]What can human minimal videos tell us about dynamic recognition models?
• [cs.CV]Wide-Baseline Multi-Camera Calibration using Person Re-Identification
• [cs.CV]Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
• [cs.CY]Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds
• [cs.CY]Jump on the Bandwagon? — Characterizing Bandwagon Phenomenon in Online NBA Fan Communities
• [cs.CY]Quantifying the Need for Attorney Pro Bono Services in Connection with the Social Determinants of Health
• [cs.CY]Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics
• [cs.DC]An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
• [cs.DC]Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs
• [cs.DC]Labeling Schemes for Deterministic Radio Multi-Broadcast
• [cs.DC]PPoL: A Periodic Channel Hopping Sequence with Nearly Full Rendezvous Diversity
• [cs.DC]Ripple : Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout
• [cs.DC]Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning
• [cs.DC]Yelp Dataset Analysis using Scalable Big Data
• [cs.DC]libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations
• [cs.DL]Cures, Treatments and Vaccines for Covid-19: International differences in interest on Twitter
• [cs.DL]Dissension or consensus? Management and Business Research in Latin America and the Caribbean
• [cs.DS]Wake Up and Join Me! An Energy-Efficient Algorithm for Maximal Matching in Radio Networks
• [cs.GT]Bribery as a Measure of Candidate Success: Complexity Results for Approval-Based Multiwinner Rules
• [cs.HC]Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task
• [cs.HC]SurviveCovid-19++ : A collaborative healthcare game towards educating people about safety measures and vaccination for Covid-19
• [cs.IR]ASBERT: Siamese and Triplet network embedding for open question answering
• [cs.IR]An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task
• [cs.IR]Anytime Ranking on Document-Ordered Indexes
• [cs.IR]BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
• [cs.IR]Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context
• [cs.IR]Contextualized Query Embeddings for Conversational Search
• [cs.IR]Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
• [cs.IR]Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
• [cs.IR]Mining Latent Structures for Multimedia Recommendation
• [cs.IR]SIGIR 2021 E-Commerce Workshop Data Challenge
• [cs.IR]ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
• [cs.IR]TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
• [cs.IR]The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems
• [cs.IR]Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing
• [cs.IT]A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems
• [cs.IT]CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
• [cs.IT]Convolutional codes over finite chain rings, MDP codes and their characterization
• [cs.IT]Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
• [cs.IT]Joint Beamforming Design for Multiuser MISO Downlink Aided by a Reconfigurable Intelligent Surfaces and a Relay
• [cs.IT]K-Means Clustering-Aided Non-Coherent Detection for Molecular Communications
• [cs.IT]Mixed Gibbs Sampling Detector in High-Order Modulation Large-Scale MIMO Systems
• [cs.IT]On Learning-Assisted Content-Based Secure Image Transmission for Delay-Aware Systems with Randomly-Distributed Eavesdroppers — Extended Version
• [cs.IT]Optimal Per-Antenna ADC Bit Allocation in Correlated and Cell-Free Massive MIMO
• [cs.IT]Optimal Transmit Strategy for MIMO WPT Systems With Non-linear Energy Harvesting
• [cs.IT]Reconfigurable Intelligent Surface-Assisted Cell-Free Massive MIMO Systems Over Spatially-Correlated Channels
• [cs.IT]Wireless Information and Power Transfer for IoT: Pulse Position Modulation, Integrated Receiver, and Experimental Validation
• [cs.LG]A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
• [cs.LG]A Tunable Model for Graph Generation Using LSTM and Conditional VAE
• [cs.LG]Accelerating Sparse Deep Neural Networks
• [cs.LG]Action Advising with Advice Imitation in Deep Reinforcement Learning
• [cs.LG]Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
• [cs.LG]Agent-Centric Representations for Multi-Agent Reinforcement Learning
• [cs.LG]Agnostic learning with unknown utilities
• [cs.LG]Algoritmos de minería de datos en la industria sanitaria
• [cs.LG]Approximate Multi-Agent Fitted Q Iteration
• [cs.LG]Bayesian graph convolutional neural networks via tempered MCMC
• [cs.LG]Conservative Contextual Combinatorial Cascading Bandit
• [cs.LG]Continual Learning with Fully Probabilistic Models
• [cs.LG]Convolutional Normalizing Flows for Deep Gaussian Processes
• [cs.LG]DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
• [cs.LG]Deep Clustering with Measure Propagation
• [cs.LG]Direction-Aggregated Attack for Transferable Adversarial Examples
• [cs.LG]Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
• [cs.LG]Failing Conceptually: Concept-Based Explanations of Dataset Shift
• [cs.LG]Federated Learning of User Verification Models Without Sharing Embeddings
• [cs.LG]Few-shot Continual Learning: a Brain-inspired Approach
• [cs.LG]Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints
• [cs.LG]Improving Adversarial Robustness Using Proxy Distributions
• [cs.LG]Improving Attribution Methods by Learning Submodular Functions
• [cs.LG]In Defense of the Paper
• [cs.LG]Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer
• [cs.LG]LAFEAT: Piercing Through Adversarial Defenses with Latent Features
• [cs.LG]Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels
• [cs.LG]Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
• [cs.LG]Learning Interpretable Models for Coupled Networks Under Domain Constraints
• [cs.LG]Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors
• [cs.LG]Learning on a Budget via Teacher Imitation
• [cs.LG]Learning to Sparsify Travelling Salesman Problem Instances
• [cs.LG]Lifelong Learning with Sketched Structural Regularization
• [cs.LG]Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
• [cs.LG]Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study
• [cs.LG]Mixtures of Gaussian Processes for regression under multiple prior distributions
• [cs.LG]Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency
• [cs.LG]Non-Linear Fusion for Self-Paced Multi-View Clustering
• [cs.LG]Non-linear Functional Modeling using Neural Networks
• [cs.LG]Off-Policy Risk Assessment in Contextual Bandits
• [cs.LG]On Learning the Geodesic Path for Incremental Learning
• [cs.LG]Optimal Counterfactual Explanations for Scorecard modelling
• [cs.LG]Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
• [cs.LG]Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
• [cs.LG]Perspectives on Machine Learning from Psychology’s Reproducibility Crisis
• [cs.LG]Potential Anchoring for imbalanced data classification
• [cs.LG]Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
• [cs.LG]Progressive Encoding for Neural Optimization
• [cs.LG]Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
• [cs.LG]Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
• [cs.LG]Random Reshuffling with Variance Reduction: New Analysis and Better Rates
• [cs.LG]Ranking Structured Objects with Graph Neural Networks
• [cs.LG]Recursive input and state estimation: A general framework for learning from time series with missing data
• [cs.LG]Removing Adversarial Noise in Class Activation Feature Space
• [cs.LG]Risk score learning for COVID-19 contact tracing apps
• [cs.LG]SAS: A Simple, Accurate and Scalable Node Classification Algorithm
• [cs.LG]Scalable Bayesian Deep Learning with Kernel Seed Networks
• [cs.LG]Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
• [cs.LG]Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers
• [cs.LG]Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
• [cs.LG]Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
• [cs.LG]SurvNAM: The machine learning survival model explanation
• [cs.LG]Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
• [cs.MA]Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds
• [cs.MS]Boosting Memory Access Locality of the Spectral Element Method with Hilbert Space-Filling Curves
• [cs.NE]A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
• [cs.NE]A Rank based Adaptive Mutation in Genetic Algorithm
• [cs.NE]ARCH-Elites: Quality-Diversity for Urban Design
• [cs.NE]Conditional Coding and Variable Bitrate for Practical Learned Video Coding
• [cs.NE]Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
• [cs.NE]RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging
• [cs.NE]The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
• [cs.NI]A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks
• [cs.NI]Benchmarking the Benchmark — Analysis of Synthetic NIDS Datasets
• [cs.NI]Self-Supervised WiFi-Based Activity Recognition
• [cs.RO]A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia
• [cs.RO]ALGAMES: A Fast Augmented Lagrangian Solver for Constrained Dynamic Games
• [cs.RO]Autonomous Situational Awareness for UAS Swarms
• [cs.RO]DART: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones
• [cs.RO]Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications
• [cs.RO]Embodying Pre-Trained Word Embeddings Through Robot Actions
• [cs.RO]End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
• [cs.RO]GzScenic: Automatic Scene Generation for Gazebo Simulator
• [cs.RO]Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61’s Approach to the DARPA Subterranean Challenge
• [cs.RO]Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
• [cs.RO]Open Challenges on Generating Referring Expressions for Human-Robot Interaction
• [cs.RO]Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming
• [cs.RO]Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization
• [cs.RO]Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures by Differentiable Force Closure Estimation
• [cs.RO]The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors
• [cs.RO]Training Humans to Train Robots Dynamic Motor Skills
• [cs.SD]Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition “In the Wild”
• [cs.SD]Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
• [cs.SD]Interpreting intermediate convolutional layers of CNNs trained on raw speech
• [cs.SD]MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
• [cs.SD]Many-Speakers Single Channel Speech Separation with Optimal Permutation Training
• [cs.SD]Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation
• [cs.SI]A Simple Mathematical Model of Politics (II)
• [cs.SI]An Anomaly Event Detection Method Based on GNN Algorithm for Multi-data Sources
• [cs.SI]Community Detection for Access-Control Decisions: Analysing the Role of Homophily and Information Diffusion in Online Social Networks
• [cs.SI]Credibility Analysis in Social Big Data
• [cs.SI]Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction
• [cs.SI]Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks
• [cs.SI]User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts
• [econ.EM]Deep Reinforcement Learning in a Monetary Model
• [eess.AS]KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
• [eess.AS]NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
• [eess.IV]A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
• [eess.IV]Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising
• [eess.SP]Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training
• [eess.SP]Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
• [eess.SP]Deep Chaos Synchronization
• [eess.SP]Energy Efficiency Optimization in Radar-Communication Spectrum Sharing
• [eess.SP]FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
• [eess.SP]Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
• [eess.SP]Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
• [eess.SP]My Experience in Physical Layer Communications
• [eess.SY]How Does the Vulnerability of an Evolving Power Grid Change?
• [math-ph]Ensemble equivalence for mean field models and plurisubharmonicity
• [math.CO]Rough Sets in Graphs Using Similarity Relations
• [math.NA]Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
• [math.NA]On the approximation of functions by tanh neural networks
• [math.OC]Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
• [math.OC]Distributed Derivative-free Learning Method for Stochastic Optimization over a Network with Sparse Activity
• [math.OC]Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls
• [math.PR]On the -Stability and Related Conjectures
• [math.ST]A Multiple Regression-Enhanced Convolution Estimator for the Density of a Response Variable in the Presence of Auxiliary Information
• [math.ST]A central limit theorem for the Benjamini-Hochberg false discovery proportion under a factor model
• [math.ST]A non-asymptotic model selection in block-diagonal mixture of polynomial experts models
• [math.ST]Asymptotic equivalence for nonparametric regression with dependent errors: Gauss-Markov processes
• [math.ST]Distribution-free multivariate inference about diagnostic classifiers based on partial areas under their receiver operating characteristic curves
• [math.ST]Least Squares with Error in Variables
• [math.ST]On comparison of the second-order statistics from independent and interdependent exponentiated location-scale distributed random variables
• [math.ST]Some new ordering results on stochastic comparisons of second largest order statistics from independent and interdependent heterogeneous distributions
• [physics.data-an]Autoencoders for unsupervised anomaly detection in high energy physics
• [physics.soc-ph]Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities
• [physics.soc-ph]On the dual nature of adoption processes in complex networks
• [q-bio.BM]Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network
• [q-bio.MN]Network modeling methods for precision medicine
• [q-bio.NC]Emergence of Lie symmetries in functional architectures learned by CNNs
• [q-bio.QM]Classification of head impacts based on the spectral density of measurable kinematics
• [q-bio.QM]Learning to design drug-like molecules in three-dimensional space using deep generative models
• [q-fin.CP]Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model
• [q-fin.PR]Interpretability in deep learning for finance: a case study for the Heston model
• [quant-ph]One-shot quantum state redistribution and quantum Markov chains
• [quant-ph]Quantum Algorithms for Data Representation and Analysis
• [stat.AP]Influence of Vaporfly shoe on sub-2 hour marathon and other top running performances
• [stat.AP]Structured regularization based local earthquake tomography for the adaptation to velocity discontinuities
• [stat.AP]Tutorial on logistic-regression calibration and fusion: Converting a score to a likelihood ratio
• [stat.ME]Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
• [stat.ME]Causal Mediation Analysis for Longitudinal Mediators and Survival Outcomes
• [stat.ME]Distribution-on-Distribution Regression via Optimal Transport Maps
• [stat.ME]Efficient Fully Sequential Indifference-Zone Procedures Using Properties of Multidimensional Brownian Motion Exiting a Sphere
• [stat.ME]Exact Confidence Intervals for Linear Combinations of Multinomial Probabilities
• [stat.ME]Generalized Matrix Decomposition Regression: Estimation and Inference for Two-way Structured Data
• [stat.ME]Linear shrinkage for predicting responses in large-scale multivariate linear regression
• [stat.ME]Mixed Effect Modeling and Variable Selection for Quantile Regression
• [stat.ME]Regularized Maximum Likelihood Estimation for the Random Coefficients Model
• [stat.ME]Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption
• [stat.ME]Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure
• [stat.ME]Testing for Outliers with Conformal p-values
• [stat.ML]Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
• [stat.ML]Data Shapley Valuation for Efficient Batch Active Learning
• [stat.ML]Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff
• [stat.ML]Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
• [stat.ML]On the Robustness to Misspecification of -Posteriors and Their Variational Approximations
·····································
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Qinyuan Wu, Yong Deng
http://arxiv.org/abs/2104.09058v1
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Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito
http://arxiv.org/abs/2104.08555v1
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Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo
http://arxiv.org/abs/2104.09350v1
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Eltayeb Ahmed, Luisa Zintgraf, Christian A. Schroeder de Witt, Nicolas Usunier
http://arxiv.org/abs/2104.08492v1
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Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao
http://arxiv.org/abs/2104.09079v1
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Camilo Velázquez-Rodríguez, Rodolfo García-Bermúdez, Fernando Rojas-Ruiz, Roberto Becerra-García, Luis Velázquez
http://arxiv.org/abs/2104.09492v1
• [cs.AI]Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference
Louis Annabi, Alexandre Pitti, Mathias Quoy
http://arxiv.org/abs/2104.09163v1
• [cs.AI]Capturing Row and Column Semantics in Transformer Based Question Answering over Tables
Michael Glass, Mustafa Canim, Alfio Gliozzo, Saneem Chemmengath, Rishav Chakravarti, Avi Sil, Feifei Pan, Samarth Bharadwaj, Nicolas Rodolfo Fauceglia
http://arxiv.org/abs/2104.08303v1
• [cs.AI]Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning
Manjushree D. Laddha, Varsha T. Lokare, Arvind W. Kiwelekar, Laxman D. Netak
http://arxiv.org/abs/2104.08819v1
• [cs.AI]**Deep Latent Emotion Network
6000
for Multi-Task Learning**
Huangbin Zhang, Chong Zhao, Yu Zhang, Danlei Wang, Haichao Yang
http://arxiv.org/abs/2104.08716v1
• [cs.AI]Does language help generalization in vision models?
Benjamin Devillers, Romain Bielawski, Bhavin Choski, Rufin VanRullen
http://arxiv.org/abs/2104.08313v1
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Xingyi Cheng
http://arxiv.org/abs/2104.08675v1
• [cs.AI]Dynamically Addressing Unseen Rumor via Continual Learning
Nayeon Lee, Andrea Madotto, Yejin Bang, Pascale Fung
http://arxiv.org/abs/2104.08775v1
• [cs.AI]Exploring Deep Learning for Joint Audio-Visual Lip Biometrics
Meng Liu, Longbiao Wang, Kong Aik Lee, Hanyi Zhang, Chang Zeng, Jianwu Dang
http://arxiv.org/abs/2104.08510v1
• [cs.AI]Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James Foulds, Yangqiu Song, Shimei Pan
http://arxiv.org/abs/2104.08769v1
• [cs.AI]Generating Diverse and Competitive Play-Styles for Strategy Games
Diego Perez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, Dominik Jeurissen, Linjie Xu
http://arxiv.org/abs/2104.08641v1
• [cs.AI]Generating explanations for answer set programming applications
Ly Ly Trieu, Tran Cao Son, Enrico Pontelli, Marcello Balduccini
http://arxiv.org/abs/2104.08963v1
• [cs.AI]Knowledge Graph Anchored InformationExtraction for Domain-Specific Insights
Vivek Khetan, Annervaz K M, Erin Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano
http://arxiv.org/abs/2104.08936v1
• [cs.AI]Low-rank State-action Value-function Approximation
Sergio Rozada, Victor Tenorio, Antonio G. Marques
http://arxiv.org/abs/2104.08805v1
• [cs.AI]Modular Procedural Generation for Voxel Maps
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
http://arxiv.org/abs/2104.08890v1
• [cs.AI]Multi-context Attention Fusion Neural Network for Software Vulnerability Identification
Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan, Prasanna Ganesan, Sathish Kumar Chandrasekaran, Sriram Ravi
http://arxiv.org/abs/2104.09225v1
• [cs.AI]Multi-objective Feature Selection with Missing Data in Classification
Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, Ferrante Neri
http://arxiv.org/abs/2104.08747v1
• [cs.AI]Multidimensional Scaling for Gene Sequence Data with Autoencoders
Pulasthi Wickramasinghe, Geoffrey Fox
http://arxiv.org/abs/2104.09014v1
• [cs.AI]Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
Harkanwar Singh, Prachi Jain, Mausam, Soumen Chakrabarti
http://arxiv.org/abs/2104.08804v1
• [cs.AI]Planning with Expectation Models for Control
Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton
http://arxiv.org/abs/2104.08543v1
• [cs.AI]Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images
Shichang Sun, Mingfu Xue, Jian Wang, Weiqiang Liu
http://arxiv.org/abs/2104.09203v1
• [cs.AI]TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu, Jian Cao, Guandong Xu, Yudong Tan
http://arxiv.org/abs/2104.09024v1
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Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
http://arxiv.org/abs/2104.08419v1
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Michael Glass, Gaetano Rossiello, Alfio Gliozzo
http://arxiv.org/abs/2104.08610v1
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Zihan Wang, Chengyu Dong, Jingbo Shang
http://arxiv.org/abs/2104.08673v1
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Kaiqi Fu, Jones Lin, Dengfeng Ke, Yanlu Xie, Jinsong Zhang, Binghuai Lin
http://arxiv.org/abs/2104.08428v1
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Yongqi Li, Wenjie Li, Liqiang Nie
http://arxiv.org/abs/2104.08443v1
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Mohcine El Baroudi
http://arxiv.org/abs/2104.08599v1
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Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
http://arxiv.org/abs/2104.08704v1
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Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld
http://arxiv.org/abs/2104.08464v1
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Luciana Benotti, Patrick Blackburn
http://arxiv.org/abs/2104.08964v1
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Qianchu Liu, Edoardo M. Ponti, Diana McCarthy, Ivan Vulić, Anna Korhonen
http://arxiv.org/abs/2104.08639v1
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Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/2104.09106v1
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Takaaki Hori, Niko Moritz, Chiori Hori, Jonathan Le Roux
http://arxiv.org/abs/2104.09426v1
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Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang
http://arxiv.org/abs/2104.09088v1
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Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo A. Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu, Katharina Kann
http://arxiv.org/abs/2104.08726v1
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Angana Borah, Manash Pratim Barman, Amit Awekar
http://arxiv.org/abs/2104.08433v1
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Lei Xu, Kalyan Veeramachaneni
http://arxiv.org/abs/2104.08453v1
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Neel Kanwal, Giuseppe Rizzo
http://arxiv.org/abs/2104.08942v1
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Nikola Ljubešić, Davor Lauc
http://arxiv.org/abs/2104.09243v1
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Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban, Siva Reddy
http://arxiv.org/abs/2104.08801v1
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Aadil Islam, Weicheng Ma, Soroush Vosoughi
http://arxiv.org/abs/2104.09040v1
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Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam
http://arxiv.org/abs/2104.08741v1
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Jifan Chen, Eunsol Choi, Greg Durrett
http://arxiv.org/abs/2104.08731v1
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Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum
http://arxiv.org/abs/2104.08762v1
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Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O’Donnell
http://arxiv.org/abs/2104.08664v1
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Zhen Wang, Xiangxie Zhang, Yicong Tan
http://arxiv.org/abs/2104.08787v1
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Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia
http://arxiv.org/abs/2104.09340v1
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Kevin Stowe, Iryna Gurevych
http://arxiv.org/abs/2104.08535v1
• [cs.CL]Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah Smith
http://arxiv.org/abs/2104.08646v1
• [cs.CL]Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster, Adam Fisch, Tommi Jaakkola, Regina Barzilay
http://arxiv.org/abs/2104.08803v1
• [cs.CL]Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
http://arxiv.org/abs/2104.08768v1
• [cs.CL]Context-Aware Interaction Network for Question Matching
Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo, Cheng Peng
http://arxiv.org/abs/2104.08451v1
• [cs.CL]Contrastive Out-of-Distribution Detection for Pretrained Transformers
Wenxuan Zhou, Muhao Chen
http://arxiv.org/abs/2104.08812v1
• [cs.CL]CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge
Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro Szekely
http://arxiv.org/abs/2104.08712v1
• [cs.CL]CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
http://arxiv.org/abs/2104.08835v1
• [cs.CL]Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems
Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Anna Korhonen, Ivan Vulić
http://arxiv.org/abs/2104.08570v1
• [cs.CL]Customized determination of stop words using Random Matrix Theory approach
Bogdan Łobodziński
http://arxiv.org/abs/2104.08642v1
• [cs.CL]DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators’ Labels
Zhaohao Zeng, Tetsuya Sakai
http://arxiv.org/abs/2104.08755v1
• [cs.CL]DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray
http://arxiv.org/abs/2104.08540v1
• [cs.CL]Data Distillation for Text Classification
Yongqi Li, Wenjie Li
http://arxiv.org/abs/2104.08448v1
• [cs.CL]Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
Josh Rozner, Christopher Potts, Kyle Mahowald
http://arxiv.org/abs/2104.08620v1
• [cs.CL]Demystifying the Better Performance of Position Encoding Variants for Transformer
Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng
http://arxiv.org/abs/2104.08698v1
• [cs.CL]DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
Abhyuday Bhartiya, Kartikeya Badola, Mausam
http://arxiv.org/abs/2104.08655v1
• [cs.CL]Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
Xiang Zhou, Yixin Nie, Mohit Bansal
http://arxiv.org/abs/2104.08676v1
• [cs.CL]Documenting the English Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
http://arxiv.org/abs/2104.08758v1
• [cs.CL]Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry
Kelly Marchisio, Conghao Xiong, Philipp Koehn
http://arxiv.org/abs/2104.08721v1
• [cs.CL]Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker
http://arxiv.org/abs/2104.08613v1
• [cs.CL]Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation
Yu-Ping Ruan, Zhen-Hua Ling
http://arxiv.org/abs/2104.08857v1
• [cs.CL]Enriching a Model’s Notion of Belief using a Persistent Memory
Nora Kassner, Oyvind Tafjord, Hinrich Schutze, Peter Clark
http://arxiv.org/abs/2104.08401v1
• [cs.CL]Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Xiao Liu, Da Yin, Yansong Feng, Yuting Wu, Dongyan Zhao
http://arxiv.org/abs/2104.09420v1
• [cs.CL]Explaining Answers with Entailment Trees
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark
http://arxiv.org/abs/2104.08661v1
• [cs.CL]Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation
Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren
http://arxiv.org/abs/2104.08724v1
• [cs.CL]Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
http://arxiv.org/abs/2104.08786v1
• [cs.CL]FedNLP: A Research Platform for Federated Learning in Natural Language Processing
Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
http://arxiv.org/abs/2104.08815v1
• [cs.CL]Few-shot Learning for Topic Modeling
Tomoharu Iwata
http://arxiv.org/abs/2104.09011v1
• [cs.CL]Flexible Operations for Natural Language Deduction
Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett
http://arxiv.org/abs/2104.08825v1
• [cs.CL]Frequency-based Distortions in Contextualized Word Embeddings
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
http://arxiv.org/abs/2104.08465v1
• [cs.CL]GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, Woomyeong Park
http://arxiv.org/abs/2104.08826v1
• [cs.CL]Generating Related Work
Darsh J Shah, Regina Barzilay
http://arxiv.org/abs/2104.08668v1
• [cs.CL]Generative Context Pair Selection for Multi-hop Question Answering
Dheeru Dua, Cicero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
http://arxiv.org/abs/2104.08744v1
• [cs.CL]Go Forth and Prosper: Language Modeling with Ancient Textual History
Rik Koncel-Kedziorski, Noah A. Smith
http://arxiv.org/abs/2104.08742v1
• [cs.CL]GooAQ: Open Question Answering with Diverse Answer Types
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
http://arxiv.org/abs/2104.08727v1
• [cs.CL]Guilt by Association: Emotion Intensities in Lexical Representations
Shahab Raji, Gerard de Melo
http://arxiv.org/abs/2104.08679v1
• [cs.CL]GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle Lee, Anish Acharya, Rajiv Ratn Shah
http://arxiv.org/abs/2104.08578v1
• [cs.CL]Hierarchical Transformer Networks for Longitudinal Clinical Document Classification
Yuqi Si, Kirk Roberts
http://arxiv.org/abs/2104.08444v1
• [cs.CL]IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
Karthik Puranik, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Bharathi Raja Chakravarthi
http://arxiv.org/abs/2104.09066v1
• [cs.CL]IITP in COLIEE@ICAIL 2019: Legal Information Retrieval usingBM25 and BERT
Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh, Asif Ekbal
http://arxiv.org/abs/2104.08653v1
• [cs.CL]Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
Zhengxuan Wu, Nelson F. Liu, Christopher Potts
http://arxiv.org/abs/2104.08410v1
• [cs.CL]Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth
http://arxiv.org/abs/2104.09061v1
• [cs.CL]Improving Neural Machine Translation with Compact Word Embedding Tables
Krtin Kumar, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu
http://arxiv.org/abs/2104.08677v1
• [cs.CL]Improving Neural Model Performance through Natural Language Feedback on Their Explanations
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Ed Hovy
http://arxiv.org/abs/2104.08765v1
• [cs.CL]Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
http://arxiv.org/abs/2104.08678v1
• [cs.CL]Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
http://arxiv.org/abs/2104.08645v1
• [cs.CL]Intent Features for Rich Natural Language Understanding
Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore
http://arxiv.org/abs/2104.08701v1
• [cs.CL]Joint Passage Ranking for Diverse Multi-Answer Retrieval
Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
http://arxiv.org/abs/2104.08445v1
• [cs.CL]Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning
Yichao Luo, Yige Xu, Jiacheng Ye, Xipeng Qiu, Qi Zhang
http://arxiv.org/abs/2104.08799v1
• [cs.CL]Knowledge Neurons in Pretrained Transformers
Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
http://arxiv.org/abs/2104.08696v1
• [cs.CL]LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
http://arxiv.org/abs/2104.08405v1
• [cs.CL]Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction
Federico Bianchi, Ciro Greco, Jacopo Tagliabue
http://arxiv.org/abs/2104.08874v1
• [cs.CL]LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei
http://arxiv.org/abs/2104.08836v1
• [cs.CL]Learning from Noisy Labels for Entity-Centric Information Extraction
Wenxuan Zhou, Muhao Chen
http://arxiv.org/abs/2104.08656v1
• [cs.CL]Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification
Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu
http://arxiv.org/abs/2104.08480v1
• [cs.CL]Learning with Instance Bundles for Reading Comprehension
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
http://arxiv.org/abs/2104.08735v1
• [cs.CL]Lifelong Learning of Few-shot Learners across NLP Tasks
Xisen Jin, Mohammad Rostami, Xiang Ren
http://arxiv.org/abs/2104.08808v1
• [cs.CL]Linguistic dependencies and statistical dependence
Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O’Donnell
http://arxiv.org/abs/2104.08685v1
• [cs.CL]Low-rank Subspaces for Unsupervised Entity Linking
Akhil Arora, Alberto Garcia-Duran, Robert West
http://arxiv.org/abs/2104.08737v1
• [cs.CL]Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification
Shunsuke Kitada, Hitoshi Iyatomi
http://arxiv.org/abs/2104.08763v1
• [cs.CL]Minimal Supervision for Morphological Inflection
Omer Goldman, Reut Tsarfaty
http://arxiv.org/abs/2104.08512v1
• [cs.CL]Misinfo Belief Frames: A Case Study on Covid & Climate News
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
http://arxiv.org/abs/2104.08790v1
• [cs.CL]Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments
Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
http://arxiv.org/abs/2104.08560v1
• [cs.CL]Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze
http://arxiv.org/abs/2104.08829v1
• [cs.CL]Monotonicity Marking from Universal Dependency Trees
Zeming Chen, Qiyue Gao
http://arxiv.org/abs/2104.08659v1
• [cs.CL]Moving on from OntoNotes: Coreference Resolution Model Transfer
Patrick Xia, Benjamin Van Durme
http://arxiv.org/abs/2104.08457v1
• [cs.CL]Multi-Perspective Abstractive Answer Summarization
Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona Diab
http://arxiv.org/abs/2104.08536v1
• [cs.CL]Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze
http://arxiv.org/abs/2104.08551v1
• [cs.CL]Multilingual and Cross-Lingual Intent Detection from Spoken Data
Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michał Lis, Eshan Singhal, Nikola Mrkšić, Tsung-Hsien Wen, Ivan Vulić
http://arxiv.org/abs/2104.08524v1
• [cs.CL]Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
http://arxiv.org/abs/2104.08773v1
• [cs.CL]Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Nouha Dziri, Andrea Madotto, Osmar Zaiane, Avishek Joey Bose
http://arxiv.org/abs/2104.08455v1
• [cs.CL]Neural String Edit Distance
Jindřich Libovický, Alexander Fraser
http://arxiv.org/abs/2104.08388v1
• [cs.CL]Neural Unsupervised Semantic Role Labeling
Kashif Munir, Hai Zhao, Zuchao Li
http://arxiv.org/abs/2104.09047v1
• [cs.CL]News Meets Microblog: Hashtag Annotation via Retriever-Generator
Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang
http://arxiv.org/abs/2104.08723v1
• [cs.CL]No comments: Addressing commentary sections in websites’ analyses
Florian Cafiero, Paul Guille-Escuret, Jeremy Ward
http://arxiv.org/abs/2104.09113v1
• [cs.CL]On the Faithfulness Measurements for Model Interpretations
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang
http://arxiv.org/abs/2104.08782v1
• [cs.CL]On the Influence of Masking Policies in Intermediate Pre-training
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
http://arxiv.org/abs/2104.08840v1
• [cs.CL]On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation
Mozhdeh Gheini, Xiang Ren, Jonathan May
http://arxiv.org/abs/2104.08771v1
• [cs.CL]On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles
Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang
http://arxiv.org/abs/2104.08962v1
• [cs.CL]Probing for Bridging Inference in Transformer Language Models
Onkar Pandit, Yufang Hou
http://arxiv.org/abs/2104.09400v1
• [cs.CL]Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction
Jonathan Dunn, Andrea Nini
http://arxiv.org/abs/2104.09033v1
• [cs.CL]Question Decomposition with Dependency Graphs
Matan Hasson, Jonathan Berant
http://arxiv.org/abs/2104.08647v1
• [cs.CL]Reference-based Weak Supervision for Answer Sentence Selection using Web Data
Vivek Krishnamurthy, Thuy Vu, Alessandro Moschitti
http://arxiv.org/abs/2104.08943v1
• [cs.CL]Rethinking Network Pruning — under the Pre-train and Fine-tune Paradigm
Dongkuan Xu, Ian E. H. Yen, Jinxi Zhao, Zhibin Xiao
http://arxiv.org/abs/2104.08682v1
• [cs.CL]Revealing Persona Biases in Dialogue Systems
Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng
http://arxiv.org/abs/2104.08728v1
• [cs.CL]Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan
http://arxiv.org/abs/2104.08481v1
• [cs.CL]Robust Embeddings Via Distributions
Kira A. Selby, Yinong Wang, Ruizhe Wang, Peyman Passban, Ahmad Rashid, Mehdi Rezagholizadeh, Pascal Poupart
http://arxiv.org/abs/2104.08420v1
• [cs.CL]SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
Satwik Kottur, Seungwhan Moon, Alborz Geramifard, Babak Damavandi
http://arxiv.org/abs/2104.08667v1
• [cs.CL]SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren
http://arxiv.org/abs/2104.08793v1
• [cs.CL]Scattered Factor Universality — The Power of the Remainder
Pamela Fleischmann, Sebastian Bernhard Germann, Dirk Nowotka
http://arxiv.org/abs/2104.09063v1
• [cs.CL]Schema Curation via Causal Association Rule Mining
Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme
http://arxiv.org/abs/2104.08811v1
• [cs.CL]SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Arie Cattan, Sophie Johnson, Daniel Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
http://arxiv.org/abs/2104.08809v1
• [cs.CL]Sentence Alignment with Parallel Documents Helps Biomedical Machine Translation
Shengxuan Luo, Huaiyuan Ying, Sheng Yu
http://arxiv.org/abs/2104.08588v1
• [cs.CL]Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation
Seiichiro Kondo, Kengo Hotate, Masahiro Kaneko, Mamoru Komachi
http://arxiv.org/abs/2104.08478v1
• [cs.CL]Sentiment Classification in Swahili Language Using Multilingual BERT
Gati L. Martin, Medard E. Mswahili, Young-Seob Jeong
http://arxiv.org/abs/2104.09006v1
• [cs.CL]Sequential Cross-Document Coreference Resolution
Emily Allaway, Shuai Wang, Miguel Ballesteros
http://arxiv.org/abs/2104.08413v1
• [cs.CL]SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, Danqi Chen
http://arxiv.org/abs/2104.08821v1
• [cs.CL]Simple and Efficient ways to Improve REALM
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar
http://arxiv.org/abs/2104.08710v1
• [cs.CL]Stream-level Latency Evaluation for Simultaneous Machine Translation
Javier Iranzo-Sánchez, Jorge Civera, Alfons Juan
http://arxiv.org/abs/2104.08817v1
• [cs.CL]Syntactic structures and the general Markov models
Sitanshu Gakkhar, Matilde Marcolli
http://arxiv.org/abs/2104.08462v1
• [cs.CL]Text2App: A Framework for Creating Android Apps from Text Descriptions
Masum Hasan, Kazi Sajeed Mehrab, Wasi Uddin Ahmad, Rifat Shahriyar
http://arxiv.org/abs/2104.08301v1
• [cs.CL]The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech
Yu Qiao, Zhou Wei, Elma Kerz, Ralf Schlüter
http://arxiv.org/abs/2104.08529v1
• [cs.CL]The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester, Rami Al-Rfou, Noah Constant
http://arxiv.org/abs/2104.08691v1
• [cs.CL]The Preposition Project
Ken Litkowski, Orin Hargraves
http://arxiv.org/abs/2104.08922v1
• [cs.CL]The Topic Confusion Task: A Novel Scenario for Authorship Attribution
Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung
http://arxiv.org/abs/2104.08530v1
• [cs.CL]UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu
http://arxiv.org/abs/2104.08635v1
• [cs.CL]UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini, Sajeetha Thavareesan, Bharathi Raja Chakravarthi
http://arxiv.org/abs/2104.09081v1
• [cs.CL]Unsupervised Deep Keyphrase Generation
Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang
http://arxiv.org/abs/2104.08729v1
• [cs.CL]Variational Weakly Supervised Sentiment Analysis with Posterior Regularization
Ziqian Zeng, Yangqiu Song
http://arxiv.org/abs/2104.08779v1
• [cs.CL]When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
http://arxiv.org/abs/2104.08671v1
• [cs.CL]Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
Lu Ji, Jing Li, Zhongyu Wei, Qi Zhang, Xuanjing Huang
http://arxiv.org/abs/2104.08601v1
• [cs.CL]Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model
Mimansa Jaiswal, Emily Mower Provost
http://arxiv.org/abs/2104.08792v1
• [cs.CL]Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Tejas Srinivasan, Yonatan Bisk
http://arxiv.org/abs/2104.08666v1
• [cs.CL]XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
Ahmed El-Kishky, Adi Renduchintala, James Cross, Francisco Guzmán, Philipp Koehn
http://arxiv.org/abs/2104.08597v1
• [cs.CL]Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei
http://arxiv.org/abs/2104.08757v1
• [cs.CL]mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang Xian-Ling Mao, Heyan Huang, Furu Wei
http://arxiv.org/abs/2104.08692v1
• [cs.CR]Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense
Ashutosh Dutta, Ehab Al-Shaer, Samrat Chatterjee
http://arxiv.org/abs/2104.08994v1
• [cs.CR]EXTRACTOR: Extracting Attack Behavior from Threat Reports
Kiavash Satvat, Rigel Gjomemo, V. N. Venkatakrishnan
http://arxiv.org/abs/2104.08618v1
• [cs.CR]TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts
Jinhuan Wang, Pengtao Chen, Shanqing Yu, Qi Xuan
http://arxiv.org/abs/2104.08767v1
• [cs.CV]A Competitive Method to VIPriors Object Detection Challenge
Fei Shen, Xin He, Mengwan Wei, Yi Xie
http://arxiv.org/abs/2104.09059v1
• [cs.CV]A Hierarchical Coding Scheme for Glasses-free 3D Displays Based on Scalable Hybrid Layered Representation of Real-World Light Fields
Joshitha R, Mansi Sharma
http://arxiv.org/abs/2104.09378v1
• [cs.CV]A Mathematical Analysis of Learning Loss for Active Learning in Regression
Megh Shukla, Shuaib Ahmed
http://arxiv.org/abs/2104.09315v1
• [cs.CV]A Multi-Task Deep Learning Framework for Building Footprint Segmentation
Burak Ekim, Elif Sertel
http://arxiv.org/abs/2104.09375v1
• [cs.CV]A Surface Geometry Model for LiDAR Depth Completion
Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang
http://arxiv.org/abs/2104.08466v1
• [cs.CV]A Two-stage Deep Network for High Dynamic Range Image Reconstruction
SMA Sharif, Rizwan Ali Naqvi, Mithun Biswas, Kim Sungjun
http://arxiv.org/abs/2104.09386v1
• [cs.CV]A survey of image labelling for computer vision applications
Christoph Sager, Christian Janiesch, Patrick Zschech
http://arxiv.org/abs/2104.08885v1
• [cs.CV]Age Range Estimation using MTCNN and VGG-Face Model
Dipesh Gyawali, Prashanga Pokharel, Ashutosh Chauhan, Subodh Chandra Shakya
http://arxiv.org/abs/2104.08585v1
• [cs.CV]An Improved Discriminative Optimization for 3D Rigid Point Cloud Registration
Jia Wang, Ping Wang, Biao Li, Ruigang Fu, Junzheng Wu
http://arxiv.org/abs/2104.08854v1
• [cs.CV]An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent Ribas, Gemma Piella, Miguel A. González Ballester
http://arxiv.org/abs/2104.08789v1
• [cs.CV]Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review
Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, Johan Willem Frederik Slik
http://arxiv.org/abs/2104.08732v1
• [cs.CV]Attention in Attention Network for Image Super-Resolution
Haoyu Chen, Jinjin Gu, Zhi Zhang
http://arxiv.org/abs/2104.09497v1
• [cs.CV]Automated Mathematical Equation Structure Discovery for Visual Analysis
Caroline Pacheco do Espírito Silva, José A. M. Felippe De Souza, Antoine Vacavant, Thierry Bouwmans, Andrews Cordolino Sobral
http://arxiv.org/abs/2104.08633v1
• [cs.CV]Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning
Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, Jong Chul Ye
http://arxiv.org/abs/2104.09435v1
• [cs.CV]BM-NAS: Bilevel Multimodal Neural Architecture Search
Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou
http://arxiv.org/abs/2104.09379v1
• [cs.CV]Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor
SMA Sharif, Rizwan Ali Naqvi, Mithun Biswas
http://arxiv.org/abs/2104.09398v1
• [cs.CV]CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li
http://arxiv.org/abs/2104.08860v1
• [cs.CV]CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
http://arxiv.org/abs/2104.08718v1
• [cs.CV]CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan M. Gorriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam
http://arxiv.org/abs/2104.08954v1
• [cs.CV]Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting
Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, Marc Van Droogenbroeck
http://arxiv.org/abs/2104.09333v1
• [cs.CV]Coarse-to-Fine Searching for Efficient Generative Adversarial Networks
Jiahao Wang, Han Shu, Weihao Xia, Yujiu Yang, Yunhe Wang
http://arxiv.org/abs/2104.09223v1
• [cs.CV]Color Variants Identification via Contrastive Self-Supervised Representation Learning
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi
http://arxiv.org/abs/2104.08581v1
• [cs.CV]Compact CNN Structure Learning by Knowledge Distillation
Waqar Ahmed, Andrea Zunino, Pietro Morerio, Vittorio Murino
http://arxiv.org/abs/2104.09191v1
• [cs.CV]Comparing Correspondences: Video Prediction with Correspondence-wise Losses
Daniel Geng, Andrew Owens
http://arxiv.org/abs/2104.09498v1
• [cs.CV]Conditional Variational Capsule Network for Open Set Recognition
Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan
http://arxiv.org/abs/2104.09159v1
• [cs.CV]Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking
Shen Li, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2104.08739v1
• [cs.CV]Contrastive Learning Improves Model Robustness Under Label Noise
Aritra Ghosh, Andrew Lan
http://arxiv.org/abs/2104.08984v1
• [cs.CV]Contrastive Learning for Compact Single Image Dehazing
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma
http://arxiv.org/abs/2104.09367v1
• [cs.CV]Convolutional Neural Networks in Orthodontics: a review
Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba, Przemysław Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzciński
http://arxiv.org/abs/2104.08886v1
• [cs.CV]Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu
http://arxiv.org/abs/2104.09415v1
• [cs.CV]Cyclist Intention Detection: A Probabilistic Approach
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
http://arxiv.org/abs/2104.09176v1
• [cs.CV]DANICE: Domain adaptation without forgetting in neural image compression
Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak
http://arxiv.org/abs/2104.09370v1
• [cs.CV]Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
http://arxiv.org/abs/2104.08945v1
• [cs.CV]DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun
http://arxiv.org/abs/2104.09124v1
• [cs.CV]Distilling Knowledge via Knowledge Review
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
http://arxiv.org/abs/2104.09044v1
• [cs.CV]Drowned out by the noise: Evidence for Tracking-free Motion Prediction
Ameni Trabelsi, Ross J. Beveridge, Nathaniel Blanchard
http://arxiv.org/abs/2104.08368v1
• [cs.CV]EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
Megh Shukla
http://arxiv.org/abs/2104.09493v1
• [cs.CV]Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine
Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Abhilash Goud, Sarforaz Bin Bashar, Jay Chhablani, Soumya Jana
http://arxiv.org/abs/2104.08519v1
• [cs.CV]**Entropy-based Optimization via A Algorithm for Parking Space Recommendation
Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang
http://arxiv.org/abs/2104.09461v1
• [cs.CV]Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
Konstantinos Papadopoulos, Anis Kacem, Abdelrahman Shabayek, Djamila Aouada
http://arxiv.org/abs/2104.09145v1
• [cs.CV]Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
http://arxiv.org/abs/2104.08422v1
• [cs.CV]Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal
Zhen Wei, Bingkun Liu, Weinong Wang, Yu-Wing Tai
http://arxiv.org/abs/2104.09457v1
• [cs.CV]Few-shot learning via tensor hallucination
Michalis Lazarou, Yannis Avrithis, Tania Stathaki
http://arxiv.org/abs/2104.09467v1
• [cs.CV]FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown
http://arxiv.org/abs/2104.08418v1
• [cs.CV]Filtering Empty Camera Trap Images in Embedded Systems
Fagner Cunha, Eulanda M. dos Santos, Raimundo Barreto, Juan G. Colonna
http://arxiv.org/abs/2104.08859v1
• [cs.CV]Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
Xin Sun, Changrui Chen, Xiaorui Wang, Junyu Dong, Huiyu Zhou, Sheng Chen
http://arxiv.org/abs/2104.08783v1
• [cs.CV]Gaze Perception in Humans and CNN-Based Model
Nicole X. Han, William Yang Wang, Miguel P. Eckstein
http://arxiv.org/abs/2104.08447v1
• [cs.CV]Harvesting data revolution for transmission electron microscopy (TEM) using signal processing
Shixiang Zhu, Sven Voigt, Henry Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi
http://arxiv.org/abs/2104.08688v1
• [cs.CV]Higher Order Recurrent Space-Time Transformer
Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Oswald Lanz
http://arxiv.org/abs/2104.08665v1
• [cs.CV]I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition
Pablo Barros, Alessandra Sciutti
http://arxiv.org/abs/2104.08353v1
• [cs.CV]IUPUI Driving Videos and Images in All Weather and Illumination Conditions
Jiang Yu Zheng
http://arxiv.org/abs/2104.08657v1
• [cs.CV]Image Inpainting with External-internal Learning and Monochromic Bottleneck
Tengfei Wang, Hao Ouyang, Qifeng Chen
http://arxiv.org/abs/2104.09068v1
• [cs.CV]Infrared Beacons for Robust Localization
Alexandru Kampmann, Michael Lamberti, Nikola Petrovic, Stefan Kowalewski, Bassam Alrifaee
http://arxiv.org/abs/2104.09335v1
• [cs.CV]Inharmonious Region Localization
Jing Liang, Li Niu, Liqing Zhang
http://arxiv.org/abs/2104.09453v1
• [cs.CV]Kernel Agnostic Real-world Image Super-resolution
Hu Wang, Congbo Ma, Chunhua Shen
http://arxiv.org/abs/2104.09008v1
• [cs.CV]LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
Albert Garcia, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, Djamila Aouada
http://arxiv.org/abs/2104.09248v1
• [cs.CV]LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
Henry Howard-Jenkins, Jose-Raul Ruiz-Sarmiento, Victor Adrian Prisacariu
http://arxiv.org/abs/2104.09169v1
• [cs.CV]Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey
http://arxiv.org/abs/2104.08623v1
• [cs.CV]Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu
http://arxiv.org/abs/2104.08845v1
• [cs.CV]Let’s See Clearly: Contaminant Artifact Removal for Moving Cameras
Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
http://arxiv.org/abs/2104.08852v1
• [cs.CV]Lidar Point Cloud Guided Monocular 3D Object Detection
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai
http://arxiv.org/abs/2104.09035v1
• [cs.CV]Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach
Nidhi Gupta, Wenju Liu
http://arxiv.org/abs/2104.08777v1
• [cs.CV]Lottery Jackpots Exist in Pre-trained Models
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji
http://arxiv.org/abs/2104.08700v1
• [cs.CV]Masked Face Recognition using ResNet-50
Bishwas Mandal, Adaeze Okeukwu, Yihong Theis
http://arxiv.org/abs/2104.08997v1
• [cs.CV]MonoGRNet: A General Framework for Monocular 3D Object Detection
Zengyi Qin, Jinglu Wang, Yan Lu
http://arxiv.org/abs/2104.08797v1
• [cs.CV]Motion Vector Extrapolation for Video Object Detection
Julian True, Naimul Khan
http://arxiv.org/abs/2104.08918v1
• [cs.CV]Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash, Kashyap Chitta, Andreas Geiger
http://arxiv.org/abs/2104.09224v1
• [cs.CV]Multi-person Implicit Reconstruction from a Single Image
Armin Mustafa, Akin Caliskan, Lourdes Agapito, Adrian Hilton
http://arxiv.org/abs/2104.09283v1
• [cs.CV]Multi-scale Self-calibrated Network for Image Light Source Transfer
Yuanzhi Wang, Tao Lu, Yanduo Zhang, Yuntao Wu
http://arxiv.org/abs/2104.08838v1
• [cs.CV]Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS
Joon Young Ahn, Nam Ik Cho
http://arxiv.org/abs/2104.09048v1
• [cs.CV]OSKDet: Towards Orientation-sensitive Keypoint Localization for Rotated Object Detection
Dongchen Lu
http://arxiv.org/abs/2104.08697v1
• [cs.CV]Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Suraj Mishra, Danny Z. Chen, X. Sharon Hu
http://arxiv.org/abs/2104.08554v1
• [cs.CV]OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Shivansh Rao, Vikas Kumar, Daniel Kifer, Lee Giles, Ankur Mali
http://arxiv.org/abs/2104.09403v1
• [cs.CV]On Training Sketch Recognizers for New Domains
Kemal Tugrul Yesilbek, T. Metin Sezgin
http://arxiv.org/abs/2104.08850v1
• [cs.CV]One More Check: Making “Fake Background” Be Tracked Again
Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Yi Lu, Weiming Hu
http://arxiv.org/abs/2104.09441v1
• [cs.CV]Optimal Pose and Shape Estimation for Category-level 3D Object Perception
Jingnan Shi, Heng Yang, Luca Carlone
http://arxiv.org/abs/2104.08383v1
• [cs.CV]PARE: Part Attention Regressor for 3D Human Body Estimation
Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, Michael J. Black
http://arxiv.org/abs/2104.08527v1
• [cs.CV]Plants Don’t Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hueger, Tim Wirtz
http://arxiv.org/abs/2104.09254v1
• [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility
Lei Sun
http://arxiv.org/abs/2104.09133v1
• [cs.CV]RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks
Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad I. Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu
http://arxiv.org/abs/2104.08689v1
• [cs.CV]Reconsidering CO2 emissions from Computer Vision
Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis
http://arxiv.org/abs/2104.08702v1
• [cs.CV]RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
http://arxiv.org/abs/2104.08569v1
• [cs.CV]Restoration of Video Frames from a Single Blurred Image with Motion Understanding
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Chaoning Zhang, In So Kweon
http://arxiv.org/abs/2104.09134v1
• [cs.CV]SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
http://arxiv.org/abs/2104.09216v1
• [cs.CV]Self-Paced Uncertainty Estimation for One-shot Person Re-Identification
Yulin Zhang, Bo Ma, Longyao Liu, Xin Yi
http://arxiv.org/abs/2104.09152v1
• [cs.CV]Self-Supervised Pillar Motion Learning for Autonomous Driving
Chenxu Luo, Xiaodong Yang, Alan Yuille
http://arxiv.org/abs/2104.08683v1
• [cs.CV]Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning
Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu
http://arxiv.org/abs/2104.09136v1
• [cs.CV]Single-view robot pose and joint angle estimation via render & compare
Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic
http://arxiv.org/abs/2104.09359v1
• [cs.CV]Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang, Keze Wang, Guangcong Wang, Phillip H. S. Torr, Liang Lin
http://arxiv.org/abs/2104.08760v1
• [cs.CV]Surrogate Gradient Field for Latent Space Manipulation
Minjun Li, Yanghua Jin, Huachun Zhu
http://arxiv.org/abs/2104.09065v1
• [cs.CV]Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video
Akin Caliskan, Armin Mustafa, Adrian Hilton
http://arxiv.org/abs/2104.09259v1
• [cs.CV]Temporal Query Networks for Fine-grained Video Understanding
Chuhan Zhang, Ankush Gupta, Andrew Zisserman
http://arxiv.org/abs/2104.09496v1
• [cs.CV]TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases
Laura Dörr, Felix Brandt, Alexander Naumann, Martin Pouls
http://arxiv.org/abs/2104.09123v1
• [cs.CV]Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor
Decky Aspandi-Latif, Sally Goldin, Preesan Rakwatin, Kurt Rudahl
http://arxiv.org/abs/2104.08899v1
• [cs.CV]The Intrinsic Dimension of Images and Its Impact on Learning
Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein
http://arxiv.org/abs/2104.08894v1
• [cs.CV]The hidden label-marginal biases of segmentation losses
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
http://arxiv.org/abs/2104.08717v1
• [cs.CV]Towards Efficient Convolutional Network Models with Filter Distribution Templates
Ramon Izquierdo-Cordova, Walterio Mayol-Cuevas
http://arxiv.org/abs/2104.08446v1
• [cs.CV]Towards Open-World Text-Guided Face Image Generation and Manipulation
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
http://arxiv.org/abs/2104.08910v1
• [cs.CV]TransCrowd: Weakly-Supervised Crowd Counting with Transformer
Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai
http://arxiv.org/abs/2104.09116v1
• [cs.CV]TransVG: End-to-End Visual Grounding with Transformers
Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, Houqiang Li
http://arxiv.org/abs/2104.08541v1
• [cs.CV]Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
Philippe Weitz, Yinxi Wang, Kimmo Kartasalo, Lars Egevad, Johan Lindberg, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
http://arxiv.org/abs/2104.09310v1
• [cs.CV]Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training
Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li
http://arxiv.org/abs/2104.09411v1
• [cs.CV]Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
Lei Chu, Hao Pan, Wenping Wang
http://arxiv.org/abs/2104.09023v1
• [cs.CV]VSpSR: Explorable Super-Resolution via Variational Sparse Representation
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
http://arxiv.org/abs/2104.08575v1
• [cs.CV]Vision-Based Guidance for Tracking Dynamic Objects
Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy
http://arxiv.org/abs/2104.09301v1
• [cs.CV]Visual Transformer Pruning
Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang
http://arxiv.org/abs/2104.08500v1
• [cs.CV]Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations
Lingyu Zhu, Esa Rahtu
http://arxiv.org/abs/2104.08506v1
• [cs.CV]What can human minimal videos tell us about dynamic recognition models?
Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
http://arxiv.org/abs/2104.09447v1
• [cs.CV]Wide-Baseline Multi-Camera Calibration using Person Re-Identification
Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani
http://arxiv.org/abs/2104.08568v1
• [cs.CV]Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution
Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim
http://arxiv.org/abs/2104.09021v1
• [cs.CY]Heads in the Clouds: Measuring the Implications of Universities Migrating to Public Clouds
Tobias Fiebig, Seda Gürses, Carlo H. Gañán, Erna Kotkamp, Fernando Kuipers, Martina Lindorfer, Menghua Prisse, Taritha Sari
http://arxiv.org/abs/2104.09462v1
• [cs.CY]Jump on the Bandwagon? — Characterizing Bandwagon Phenomenon in Online NBA Fan Communities
Yichen Wang, Jason Shuo Zhang, Xu Han, Qin Lv
http://arxiv.org/abs/2104.08632v1
• [cs.CY]Quantifying the Need for Attorney Pro Bono Services in Connection with the Social Determinants of Health
Yi Mao, Stacey R. Beck, Benjamin Bartek, Beatriz Cabrera, Rachell Calhoun, David Coe, Jakob Cronberg, Suren Nalluri, Bradley Merrill Thompson
http://arxiv.org/abs/2104.08522v1
• [cs.CY]Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics
Jim Samuel, Margaret Brennan-Tonetta, Yana Samuel, Pradeep Subedi, Jack Smith
http://arxiv.org/abs/2104.09091v1
• [cs.DC]An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez, Ryousei Takano, Rosa M Badia, Mohamed Wahib
http://arxiv.org/abs/2104.09075v1
• [cs.DC]Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs
Jack Kosaian, K. V. Rashmi
http://arxiv.org/abs/2104.09455v1
• [cs.DC]Labeling Schemes for Deterministic Radio Multi-Broadcast
Colin Krisko, Avery Miller
http://arxiv.org/abs/2104.08644v1
• [cs.DC]PPoL: A Periodic Channel Hopping Sequence with Nearly Full Rendezvous Diversity
Yi-Jheng Lin, Cheng-Shang Chang
http://arxiv.org/abs/2104.08461v1
• [cs.DC]Ripple : Simplified Large-Scale Computation on Heterogeneous Architectures with Polymorphic Data Layout
Robert Clucas, Philip Blakely, Nikolaos Nikiforakis
http://arxiv.org/abs/2104.08571v1
• [cs.DC]Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning
Shijian Li, Oren Mangoubi, Lijie Xu, Tian Guo
http://arxiv.org/abs/2104.08364v1
• [cs.DC]Yelp Dataset Analysis using Scalable Big Data
Mohsen Alam, Benjamin Cevallos, Oscar Flores, Randall Lunetto, Kotaro Yayoshi, Jongwook Woo
http://arxiv.org/abs/2104.08396v1
• [cs.DC]libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations
Stephen Hudson, Jeffrey Larson, John-Luke Navarro, Stefan M. Wild
http://arxiv.org/abs/2104.08322v1
• [cs.DL]Cures, Treatments and Vaccines for Covid-19: International differences in interest on Twitter
Mike Thelwall
http://arxiv.org/abs/2104.09138v1
• [cs.DL]Dissension or consensus? Management and Business Research in Latin America and the Caribbean
Julian D. Cortes
http://arxiv.org/abs/2104.09471v1
• [cs.DS]Wake Up and Join Me! An Energy-Efficient Algorithm for Maximal Matching in Radio Networks
Varsha Dani, Aayush Gupta, Thomas P. Hayes, Seth Pettie
http://arxiv.org/abs/2104.09096v1
• [cs.GT]Bribery as a Measure of Candidate Success: Complexity Results for Approval-Based Multiwinner Rules
Piotr Faliszewski, Piotr Skowron, Nimrod Talmon
http://arxiv.org/abs/2104.09130v1
• [cs.HC]Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task
Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, Maurice Smith
http://arxiv.org/abs/2104.09237v1
• [cs.HC]SurviveCovid-19++ : A collaborative healthcare game towards educating people about safety measures and vaccination for Covid-19
Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, Sridhar Chimalakonda
http://arxiv.org/abs/2104.08463v1
• [cs.IR]ASBERT: Siamese and Triplet network embedding for open question answering
Olabanji Shonibare
http://arxiv.org/abs/2104.08558v1
• [cs.IR]An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task
Alexandros Ioannidis
http://arxiv.org/abs/2104.08340v1
• [cs.IR]Anytime Ranking on Document-Ordered Indexes
Joel Mackenzie, Matthias Petri, Alistair Moffat
http://arxiv.org/abs/2104.08976v1
• [cs.IR]BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych
http://arxiv.org/abs/2104.08663v1
• [cs.IR]Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context
Xiaoyang Chen, Kai Hui, Ben He, Xianpei Han, Le Sun, Zheng Ye
http://arxiv.org/abs/2104.08523v1
• [cs.IR]Contextualized Query Embeddings for Conversational Search
Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin
http://arxiv.org/abs/2104.08707v1
• [cs.IR]Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li, Alexander Tuzhilin
http://arxiv.org/abs/2104.08490v1
• [cs.IR]Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
http://arxiv.org/abs/2104.09393v1
• [cs.IR]Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
http://arxiv.org/abs/2104.09036v1
• [cs.IR]SIGIR 2021 E-Commerce Workshop Data Challenge
Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Binqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
http://arxiv.org/abs/2104.09423v1
• [cs.IR]ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
http://arxiv.org/abs/2104.08542v1
• [cs.IR]TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff
http://arxiv.org/abs/2104.09399v1
• [cs.IR]The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems
Amir H. Jadidinejad, Craig Macdonald, Iadh Ounis
http://arxiv.org/abs/2104.08912v1
• [cs.IR]Transitivity, Time Consumption, and Quality of Preference Judgments in Crowdsourcing
Kai Hui, Klaus Berberich
http://arxiv.org/abs/2104.08926v1
• [cs.IT]A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems
Meng Hua, Qingqing Wu, Luxi Yang, Robert Schober, H. Vincent Poor
http://arxiv.org/abs/2104.09161v1
• [cs.IT]CNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications
Abdul Karim Gizzini, Marwa Chafii, Ahmad Nimr, Raed M. Shubair, Gerhard Fettweis
http://arxiv.org/abs/2104.08813v1
• [cs.IT]Convolutional codes over finite chain rings, MDP codes and their characterization
Gianira N. Alfarano, Anina Gruica, Julia Lieb, Joachim Rosenthal
http://arxiv.org/abs/2104.09486v1
• [cs.IT]Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee, Guanding Yu, Huaiyu Dai
http://arxiv.org/abs/2104.09027v1
• [cs.IT]Joint Beamforming Design for Multiuser MISO Downlink Aided by a Reconfigurable Intelligent Surfaces and a Relay
Mohanad Obeed, Anas Chaaban
http://arxiv.org/abs/2104.08417v1
• [cs.IT]K-Means Clustering-Aided Non-Coherent Detection for Molecular Communications
Xuewen Qian, Marco Di Renzo, Andrew W. Eckford
http://arxiv.org/abs/2104.08929v1
• [cs.IT]Mixed Gibbs Sampling Detector in High-Order Modulation Large-Scale MIMO Systems
Alex Mussi, Taufik Abrão
http://arxiv.org/abs/2104.08626v1
• [cs.IT]On Learning-Assisted Content-Based Secure Image Transmission for Delay-Aware Systems with Randomly-Distributed Eavesdroppers — Extended Version
Mehdi Letafati, Hamid Behroozi, Babak Hossein Khalaj, Eduard A. Jorswieck
http://arxiv.org/abs/2104.09326v1
• [cs.IT]Optimal Per-Antenna ADC Bit Allocation in Correlated and Cell-Free Massive MIMO
Daniel Verenzuela, Emil Björnson, Michail Matthaiou
http://arxiv.org/abs/2104.09093v1
• [cs.IT]Optimal Transmit Strategy for MIMO WPT Systems With Non-linear Energy Harvesting
Nikita Shanin, Laura Cottatellucci, Robert Schober
http://arxiv.org/abs/2104.09084v1
• [cs.IT]Reconfigurable Intelligent Surface-Assisted Cell-Free Massive MIMO Systems Over Spatially-Correlated Channels
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Marco Di Renzo, Björn Ottersten
http://arxiv.org/abs/2104.08648v1
• [cs.IT]Wireless Information and Power Transfer for IoT: Pulse Position Modulation, Integrated Receiver, and Experimental Validation
Junghoon Kim, Bruno Clerckx
http://arxiv.org/abs/2104.08404v1
• [cs.LG]A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi, Max Welling, Andrew Gordon Wilson
http://arxiv.org/abs/2104.09459v1
• [cs.LG]A Tunable Model for Graph Generation Using LSTM and Conditional VAE
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa, Sho Tsugawa, Kohei Watabe
http://arxiv.org/abs/2104.09304v1
• [cs.LG]Accelerating Sparse Deep Neural Networks
Asit Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius
http://arxiv.org/abs/2104.08378v1
• [cs.LG]Action Advising with Advice Imitation in Deep Reinforcement Learning
Ercument Ilhan, Jeremy Gow, Diego Perez-Liebana
http://arxiv.org/abs/2104.08441v1
• [cs.LG]Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models
Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma
http://arxiv.org/abs/2104.09369v1
• [cs.LG]Agent-Centric Representations for Multi-Agent Reinforcement Learning
Wenling Shang, Lasse Espeholt, Anton Raichuk, Tim Salimans
http://arxiv.org/abs/2104.09402v1
• [cs.LG]Agnostic learning with unknown utilities
Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt
http://arxiv.org/abs/2104.08482v1
• [cs.LG]Algoritmos de minería de datos en la industria sanitaria
Marta Li Wang
http://arxiv.org/abs/2104.09395v1
• [cs.LG]Approximate Multi-Agent Fitted Q Iteration
Antoine Lesage-Landry, Duncan S. Callaway
http://arxiv.org/abs/2104.09343v1
• [cs.LG]Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana, Pavel N. Krivitsky
http://arxiv.org/abs/2104.08438v1
• [cs.LG]Conservative Contextual Combinatorial Cascading Bandit
Kun Wang, Canzhe Zhao, Shuai Li, Shuo Shao
http://arxiv.org/abs/2104.08615v1
• [cs.LG]Continual Learning with Fully Probabilistic Models
Benedikt Pfülb, Alexander Gepperth, Benedikt Bagus
http://arxiv.org/abs/2104.09240v1
• [cs.LG]Convolutional Normalizing Flows for Deep Gaussian Processes
Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet, Dapeng Liu
http://arxiv.org/abs/2104.08472v1
• [cs.LG]DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
http://arxiv.org/abs/2104.09062v1
• [cs.LG]Deep Clustering with Measure Propagation
Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan, Qiming Huang, Michael Johnston, Patrick Haffner
http://arxiv.org/abs/2104.08967v1
• [cs.LG]Direction-Aggregated Attack for Transferable Adversarial Examples
Tianjin Huang, Vlado Menkovski, Yulong Pei, YuHao Wang, Mykola Pechenizkiy
http://arxiv.org/abs/2104.09172v1
• [cs.LG]Do We Really Need Gold Samples for Sample Weighting Under Label Noise?
Aritra Ghosh, Andrew Lan
http://arxiv.org/abs/2104.09045v1
• [cs.LG]Failing Conceptually: Concept-Based Explanations of Dataset Shift
Maleakhi A. Wijaya, Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik
http://arxiv.org/abs/2104.08952v1
• [cs.LG]Federated Learning of User Verification Models Without Sharing Embeddings
Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
http://arxiv.org/abs/2104.08776v1
• [cs.LG]Few-shot Continual Learning: a Brain-inspired Approach
Liyuan Wang, Qian Li, Yi Zhong, Jun Zhu
http://arxiv.org/abs/2104.09034v1
• [cs.LG]Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints
Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
http://arxiv.org/abs/2104.08546v1
• [cs.LG]Improving Adversarial Robustness Using Proxy Distributions
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
http://arxiv.org/abs/2104.09425v1
• [cs.LG]Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya, Saketha Nath Jagarlapudi, Tarun Ram Menta, Vineeth N Balasubramanian
http://arxiv.org/abs/2104.09073v1
• [cs.LG]In Defense of the Paper
Owen Lockwood
http://arxiv.org/abs/2104.08359v1
• [cs.LG]Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
http://arxiv.org/abs/2104.08795v1
• [cs.LG]LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu
http://arxiv.org/abs/2104.09284v1
• [cs.LG]Labels, Information, and Computation: Efficient, Privacy-Preserving Learning Using Sufficient Labels
Shiyu Duan, Jose C. Principe
http://arxiv.org/abs/2104.09015v1
• [cs.LG]Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo, Boyang Li, Han Yu, Chunyan Miao
http://arxiv.org/abs/2104.09261v1
• [cs.LG]Learning Interpretable Models for Coupled Networks Under Domain Constraints
Hongyuan You, Sikun Lin, Ambuj K. Singh
http://arxiv.org/abs/2104.09069v1
• [cs.LG]Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors
Lukas Baischer, Matthias Wess, Nima TaheriNejad
http://arxiv.org/abs/2104.09252v1
• [cs.LG]Learning on a Budget via Teacher Imitation
Ercument Ilhan, Jeremy Gow, Diego Perez-Liebana
http://arxiv.org/abs/2104.08440v1
• [cs.LG]Learning to Sparsify Travelling Salesman Problem Instances
James Fitzpatrick, Deepak Ajwani, Paula Carroll
http://arxiv.org/abs/2104.09345v1
• [cs.LG]Lifelong Learning with Sketched Structural Regularization
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman
http://arxiv.org/abs/2104.08604v1
• [cs.LG]Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal
http://arxiv.org/abs/2104.08382v1
• [cs.LG]Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study
Mohammad A. Dabbah, Angus B. Reed, Adam T. C. Booth, Arrash Yassaee, Alex Despotovic, Benjamin Klasmer, Emily Binning, Mert Aral, David Plans, Alain B. Labrique, Diwakar Mohan
http://arxiv.org/abs/2104.09226v1
• [cs.LG]Mixtures of Gaussian Processes for regression under multiple prior distributions
Sarem Seitz
http://arxiv.org/abs/2104.09185v1
• [cs.LG]Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency
Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Peilan He, Fangxin Ning
http://arxiv.org/abs/2104.09083v1
• [cs.LG]Non-Linear Fusion for Self-Paced Multi-View Clustering
Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He
http://arxiv.org/abs/2104.09255v1
• [cs.LG]Non-linear Functional Modeling using Neural Networks
Aniruddha Rajendra Rao, Matthew Reimherr
http://arxiv.org/abs/2104.09371v1
• [cs.LG]Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
http://arxiv.org/abs/2104.08977v1
• [cs.LG]On Learning the Geodesic Path for Incremental Learning
Christian Simon, Piotr Koniusz, Mehrtash Harandi
http://arxiv.org/abs/2104.08572v1
• [cs.LG]Optimal Counterfactual Explanations for Scorecard modelling
Guillermo Navas-Palencia
http://arxiv.org/abs/2104.08619v1
• [cs.LG]Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
Aritra Ghosh, Jay Raspat, Andrew Lan
http://arxiv.org/abs/2104.09043v1
• [cs.LG]Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb, Alexander Gepperth
http://arxiv.org/abs/2104.09220v1
• [cs.LG]Perspectives on Machine Learning from Psychology’s Reproducibility Crisis
Samuel J. Bell, Onno P. Kampman
http://arxiv.org/abs/2104.08878v1
• [cs.LG]Potential Anchoring for imbalanced data classification
Michał Koziarski
http://arxiv.org/abs/2104.08548v1
• [cs.LG]Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong
http://arxiv.org/abs/2104.09122v1
• [cs.LG]Progressive Encoding for Neural Optimization
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
http://arxiv.org/abs/2104.09125v1
• [cs.LG]Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
Difan Zou, Spencer Frei, Quanquan Gu
http://arxiv.org/abs/2104.09437v1
• [cs.LG]Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
http://arxiv.org/abs/2104.08876v1
• [cs.LG]Random Reshuffling with Variance Reduction: New Analysis and Better Rates
Grigory Malinovsky, Alibek Sailanbayev, Peter Richtárik
http://arxiv.org/abs/2104.09342v1
• [cs.LG]Ranking Structured Objects with Graph Neural Networks
Clemens Damke, Eyke Hüllermeier
http://arxiv.org/abs/2104.08869v1
• [cs.LG]Recursive input and state estimation: A general framework for learning from time series with missing data
Alberto García-Durán, Robert West
http://arxiv.org/abs/2104.08556v1
• [cs.LG]Removing Adversarial Noise in Class Activation Feature Space
Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu
http://arxiv.org/abs/2104.09197v1
• [cs.LG]Risk score learning for COVID-19 contact tracing apps
Kevin Murphy, Abhishek Kumar, Stelios Serghiou
http://arxiv.org/abs/2104.08415v1
• [cs.LG]SAS: A Simple, Accurate and Scalable Node Classification Algorithm
Ziyuan Wang, Feiming Yang, Rui Fan
http://arxiv.org/abs/2104.09120v1
• [cs.LG]Scalable Bayesian Deep Learning with Kernel Seed Networks
Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell
http://arxiv.org/abs/2104.09005v1
• [cs.LG]Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Chuxiong Sun
http://arxiv.org/abs/2104.09376v1
• [cs.LG]Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers
Yue Gao, Kassem Fawaz
http://arxiv.org/abs/2104.08690v1
• [cs.LG]Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
http://arxiv.org/abs/2104.08489v1
• [cs.LG]Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
http://arxiv.org/abs/2104.08736v1
• [cs.LG]SurvNAM: The machine learning survival model explanation
Lev V. Utkin, Egor D. Satyukov, Andrei V. Konstantinov
http://arxiv.org/abs/2104.08903v1
• [cs.LG]Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark Riedl
http://arxiv.org/abs/2104.09469v1
• [cs.MA]Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds
Ofir Gordon, Yuval Filmus, Oren Salzman
http://arxiv.org/abs/2104.08759v1
• [cs.MS]Boosting Memory Access Locality of the Spectral Element Method with Hilbert Space-Filling Curves
Roger R. F. Araújo, Lutz Gross, Samuel Xavier-de-Souza
http://arxiv.org/abs/2104.08416v1
• [cs.NE]A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
Ho-Kin Tang, Sim Kuan Goh
http://arxiv.org/abs/2104.08564v1
• [cs.NE]A Rank based Adaptive Mutation in Genetic Algorithm
Avijit Basak
http://arxiv.org/abs/2104.08842v1
• [cs.NE]ARCH-Elites: Quality-Diversity for Urban Design
Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis, Reinhard Koenig
http://arxiv.org/abs/2104.08774v1
• [cs.NE]Conditional Coding and Variable Bitrate for Practical Learned Video Coding
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges
http://arxiv.org/abs/2104.09103v1
• [cs.NE]Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis
http://arxiv.org/abs/2104.08781v1
• [cs.NE]RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging
Chao-Tsung Huang
http://arxiv.org/abs/2104.09056v1
• [cs.NE]The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
http://arxiv.org/abs/2104.09272v1
• [cs.NI]A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks
Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang
http://arxiv.org/abs/2104.09382v1
• [cs.NI]Benchmarking the Benchmark — Analysis of Synthetic NIDS Datasets
Siamak Layeghy, Marcus Gallagher, Marius Portmann
http://arxiv.org/abs/2104.09029v1
• [cs.NI]Self-Supervised WiFi-Based Activity Recognition
Hok-Shing Lau, Ryan McConville, Mohammud J. Bocus, Robert J. Piechocki, Raul Santos-Rodriguez
http://arxiv.org/abs/2104.09072v1
• [cs.RO]A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia
Fengpei Yuan, Amir Sadovnik, Ran Zhang, Devin Casenhiser, Eun Jin Paek, Si On Yoon, Xiaopeng Zhao
http://arxiv.org/abs/2104.08940v1
• [cs.RO]ALGAMES: A Fast Augmented Lagrangian Solver for Constrained Dynamic Games
Simon Le Cleac’h, Mac Schwager, Zachary Manchester
http://arxiv.org/abs/2104.08452v1
• [cs.RO]Autonomous Situational Awareness for UAS Swarms
Vincent W. Hill, Ryan W. Thomas, Jordan D. Larson
http://arxiv.org/abs/2104.08904v1
• [cs.RO]DART: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones
Fawad Ahmad, Christina Shin, Eugene Chai, Karthik Sundaresan, Ramesh Govindan
http://arxiv.org/abs/2104.08634v1
• [cs.RO]Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications
Mohit Vohra, Ravi Prakash, Laxmidhar Behera
http://arxiv.org/abs/2104.09099v1
• [cs.RO]Embodying Pre-Trained Word Embeddings Through Robot Actions
Minori Toyoda, Kanata Suzuki, Hiroki Mori, Yoshihiko Hayashi, Tetsuya Ogata
http://arxiv.org/abs/2104.08521v1
• [cs.RO]End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu
http://arxiv.org/abs/2104.08862v1
• [cs.RO]GzScenic: Automatic Scene Generation for Gazebo Simulator
Afsoon Afzal, Claire Le Goues, Christopher S. Timperley
http://arxiv.org/abs/2104.08625v1
• [cs.RO]Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61’s Approach to the DARPA Subterranean Challenge
*Nicolas Hudson, Fletcher Talbot, Mark Cox, Jason Williams, Thomas Hines, Alex Pitt, Brett Wood, Dennis Frousheger, Katrina Lo Surdo, Thomas Molnar, Ryan Steindl, Matt Wildie, Inkyu Sa, Navinda Kottege, Kazys Stepanas, Emili Hernandez, Gavin Catt, William Docherty, Brendan Tidd, Benjamin Tam, Simon Murrell, Mitc
3932
hell Bessell, Lauren Hanson, Lachlan Tychsen-Smith, Hajime Suzuki, Leslie Overs, Farid Kendoul, Glenn Wagner, Duncan Palmer, Peter Milani, Matthew O’Brien, Shu Jiang, Shengkang Chen, Ronald C. Arkin*
http://arxiv.org/abs/2104.09053v1
• [cs.RO]Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
Glen Chou, Necmiye Ozay, Dmitry Berenson
http://arxiv.org/abs/2104.08695v1
• [cs.RO]Open Challenges on Generating Referring Expressions for Human-Robot Interaction
Fethiye Irmak Doğan, Iolanda Leite
http://arxiv.org/abs/2104.09193v1
• [cs.RO]Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming
Weiye Zhao, Suqin He, Changliu Liu
http://arxiv.org/abs/2104.08896v1
• [cs.RO]Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization
Oliwier Melon, Romeo Orsolino, David Surovik, Mathieu Geisert, Ioannis Havoutis, Maurice Fallon
http://arxiv.org/abs/2104.09078v1
• [cs.RO]Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures by Differentiable Force Closure Estimation
Tengyu Liu, Zeyu Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu
http://arxiv.org/abs/2104.09194v1
• [cs.RO]The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors
Matthew Chignoli, Donghyun Kim, Elijah Stanger-Jones, Sangbae Kim
http://arxiv.org/abs/2104.09025v1
• [cs.RO]Training Humans to Train Robots Dynamic Motor Skills
Marina Y. Aoyama, Matthew Howard
http://arxiv.org/abs/2104.08631v1
• [cs.SD]Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition “In the Wild”
Mimansa Jaiswal, Emily Mower Provost
http://arxiv.org/abs/2104.08806v1
• [cs.SD]Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
Jacob Andreas, Gašper Beguš, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel Vogt, Robert J. Wood
http://arxiv.org/abs/2104.08614v1
• [cs.SD]Interpreting intermediate convolutional layers of CNNs trained on raw speech
Gašper Beguš, Alan Zhou
http://arxiv.org/abs/2104.09489v1
• [cs.SD]MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu
http://arxiv.org/abs/2104.08450v1
• [cs.SD]Many-Speakers Single Channel Speech Separation with Optimal Permutation Training
Shaked Dovrat, Eliya Nachmani, Lior Wolf
http://arxiv.org/abs/2104.08955v1
• [cs.SD]Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation
Axel Marmoret, Jérémy E. Cohen, Nancy Bertin, Frédéric Bimbot
http://arxiv.org/abs/2104.08580v1
• [cs.SI]A Simple Mathematical Model of Politics (II)
Joey Huang
http://arxiv.org/abs/2104.08965v1
• [cs.SI]An Anomaly Event Detection Method Based on GNN Algorithm for Multi-data Sources
Yipeng Ji, Jingyi Wang, Shaoning Li, Yangyang Li, Shenwen Lin, Xiong Li
http://arxiv.org/abs/2104.08761v1
• [cs.SI]Community Detection for Access-Control Decisions: Analysing the Role of Homophily and Information Diffusion in Online Social Networks
Nicolas E. Diaz Ferreyra, Tobias Hecking, Esma Aïmeur, Maritta Heisel, H. Ulrich Hoppe
http://arxiv.org/abs/2104.09137v1
• [cs.SI]Credibility Analysis in Social Big Data
Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
http://arxiv.org/abs/2104.09190v1
• [cs.SI]Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction
Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng
http://arxiv.org/abs/2104.09119v1
• [cs.SI]Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
http://arxiv.org/abs/2104.08637v1
• [cs.SI]User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts
Amin Mahmoudi, Victoria Wai-lan Yeung, Eric W. K. See-To
http://arxiv.org/abs/2104.08867v1
• [econ.EM]Deep Reinforcement Learning in a Monetary Model
Mingli Chen, Andreas Joseph, Michael Kumhof, Xinlei Pan, Rui Shi, Xuan Zhou
http://arxiv.org/abs/2104.09368v1
• [eess.AS]KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
Saida Mussakhojayeva, Aigerim Janaliyeva, Almas Mirzakhmetov, Yerbolat Khassanov, Huseyin Atakan Varol
http://arxiv.org/abs/2104.08459v1
• [eess.AS]NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Gabriel Mittag, Babak Naderi, Assmaa Chehadi, Sebastian Möller
http://arxiv.org/abs/2104.09494v1
• [eess.IV]A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang
http://arxiv.org/abs/2104.08902v1
• [eess.IV]Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising
Taesung Kwon, Jong Chul Ye
http://arxiv.org/abs/2104.08538v1
• [eess.SP]Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training
Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
http://arxiv.org/abs/2104.08336v1
• [eess.SP]Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye
http://arxiv.org/abs/2104.09396v1
• [eess.SP]Deep Chaos Synchronization
Majid Mobini, Georges Kaddoum
http://arxiv.org/abs/2104.08436v1
• [eess.SP]Energy Efficiency Optimization in Radar-Communication Spectrum Sharing
Emanuele Grossi, Marco Lops, Luca Venturino
http://arxiv.org/abs/2104.09074v1
• [eess.SP]FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
Caleb Terrill, Linfang Wang, Sean Chen, Chester Hulse, Calvin Kuo, Richard Wesel, Dariush Divsalar
http://arxiv.org/abs/2104.09480v1
• [eess.SP]Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocan, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Amos A Folarin, Richard JB Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A Narayan, Matthew Hotopf, Giancarlo Comi, Björn Schuller
http://arxiv.org/abs/2104.09263v1
• [eess.SP]Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdoğmuş
http://arxiv.org/abs/2104.08409v1
• [eess.SP]My Experience in Physical Layer Communications
Xiang-Gen Xia
http://arxiv.org/abs/2104.09373v1
• [eess.SY]How Does the Vulnerability of an Evolving Power Grid Change?
Balint Hartmann
http://arxiv.org/abs/2104.09080v1
• [math-ph]Ensemble equivalence for mean field models and plurisubharmonicity
Robert J. Berman
http://arxiv.org/abs/2104.09149v1
• [math.CO]Rough Sets in Graphs Using Similarity Relations
Imran Javaid, Shahroz Ali, Shahid Ur Rehman, Aqsa Shah
http://arxiv.org/abs/2104.08743v1
• [math.NA]Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar, Ankit Srivastava
http://arxiv.org/abs/2104.08426v1
• [math.NA]On the approximation of functions by tanh neural networks
Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
http://arxiv.org/abs/2104.08938v1
• [math.OC]Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
http://arxiv.org/abs/2104.08708v1
• [math.OC]Distributed Derivative-free Learning Method for Stochastic Optimization over a Network with Sparse Activity
Wenjie Li, Mohamad Assaad, Shiqi Zheng
http://arxiv.org/abs/2104.09387v1
• [math.OC]Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls
Xin Guo, Anran Hu, Yufei Zhang
http://arxiv.org/abs/2104.09311v1
• [math.PR]On the -Stability and Related Conjectures
Lei Yu
http://arxiv.org/abs/2104.08740v1
• [math.ST]A Multiple Regression-Enhanced Convolution Estimator for the Density of a Response Variable in the Presence of Auxiliary Information
Brian Fitzpatrick, James Loughman, Daniel Ian Flitcroft
http://arxiv.org/abs/2104.08361v1
• [math.ST]A central limit theorem for the Benjamini-Hochberg false discovery proportion under a factor model
Dan M. Kluger, Art B. Owen
http://arxiv.org/abs/2104.08687v1
• [math.ST]A non-asymptotic model selection in block-diagonal mixture of polynomial experts models
TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
http://arxiv.org/abs/2104.08959v1
• [math.ST]Asymptotic equivalence for nonparametric regression with dependent errors: Gauss-Markov processes
Holger Dette, Martin Kroll
http://arxiv.org/abs/2104.09485v1
• [math.ST]Distribution-free multivariate inference about diagnostic classifiers based on partial areas under their receiver operating characteristic curves
Maximilian Wechsung, Frank Konietschke
http://arxiv.org/abs/2104.09401v1
• [math.ST]Least Squares with Error in Variables
David A. Hirshberg
http://arxiv.org/abs/2104.08931v1
• [math.ST]On comparison of the second-order statistics from independent and interdependent exponentiated location-scale distributed random variables
Sangita Das, Suchandan Kayal
http://arxiv.org/abs/2104.08525v1
• [math.ST]Some new ordering results on stochastic comparisons of second largest order statistics from independent and interdependent heterogeneous distributions
Sangita Das, Suchandan Kayal
http://arxiv.org/abs/2104.08611v1
• [physics.data-an]Autoencoders for unsupervised anomaly detection in high energy physics
Thorben Finke, Michael Krämer, Alessandro Morandini, Alexander Mück, Ivan Oleksiyuk
http://arxiv.org/abs/2104.09051v1
• [physics.soc-ph]Characterization of the Firm-Firm Public Procurement Co-Bidding Network from the State of Ceará (Brazil) Municipalities
Marcos Lyra, António Curado, Bruno Damásio, Fernando Bação, Flávio L. Pinheiro
http://arxiv.org/abs/2104.08547v1
• [physics.soc-ph]On the dual nature of adoption processes in complex networks
Iacopo Iacopini, Vito Latora
http://arxiv.org/abs/2104.09349v1
• [q-bio.BM]Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network
Ethan Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim
http://arxiv.org/abs/2104.08969v1
• [q-bio.MN]Network modeling methods for precision medicine
Elio Nushi, Victor-Bogdan Popescu, Jose Angel Sanchez Martin, Sergiu Ivanov, Eugen Czeizler, Ion Petre
http://arxiv.org/abs/2104.09206v1
• [q-bio.NC]Emergence of Lie symmetries in functional architectures learned by CNNs
Federico Bertoni, Noemi Montobbio, Alessandro Sarti, Giovanna Citti
http://arxiv.org/abs/2104.08537v1
• [q-bio.QM]Classification of head impacts based on the spectral density of measurable kinematics
Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
http://arxiv.org/abs/2104.09082v1
• [q-bio.QM]Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li, Jianfeng Pei, Luhua Lai
http://arxiv.org/abs/2104.08474v1
• [q-fin.CP]Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model
Ekaterina Zolotareva
http://arxiv.org/abs/2104.09341v1
• [q-fin.PR]Interpretability in deep learning for finance: a case study for the Heston model
Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Saez de Ocariz Borde
http://arxiv.org/abs/2104.09476v1
• [quant-ph]One-shot quantum state redistribution and quantum Markov chains
Anurag Anshu, Shima Bab Hadiashar, Rahul Jain, Ashwin Nayak, Dave Touchette
http://arxiv.org/abs/2104.08753v1
• [quant-ph]Quantum Algorithms for Data Representation and Analysis
Armando Bellante, Alessandro Luongo, Stefano Zanero
http://arxiv.org/abs/2104.08987v1
• [stat.AP]Influence of Vaporfly shoe on sub-2 hour marathon and other top running performances
Andreu Arderiu, Raphaël de Fondeville
http://arxiv.org/abs/2104.08509v1
• [stat.AP]Structured regularization based local earthquake tomography for the adaptation to velocity discontinuities
Yohta Yamanaka, Sumito Kurata, Keisuke Yano, Fumiyasu Komaki, Takahiro Shiina, Aitaro Kato
http://arxiv.org/abs/2104.09067v1
• [stat.AP]Tutorial on logistic-regression calibration and fusion: Converting a score to a likelihood ratio
Geoffrey Stewart Morrison
http://arxiv.org/abs/2104.08846v1
• [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/rg/abs/2104.07575v1
• [stat.ME]Causal Mediation Analysis for Longitudinal Mediators and Survival Outcomes
Shuxi Zeng, Elizabeth C. Lange, Elizabeth A. Archie, Fernando A. Campos, Susan C. Alberts, Fan Li
http://arxiv.org/abs/2104.08344v1
• [stat.ME]Distribution-on-Distribution Regression via Optimal Transport Maps
Laya Ghodrati, Victor M. Panaretos
http://arxiv.org/abs/2104.09418v1
• [stat.ME]Efficient Fully Sequential Indifference-Zone Procedures Using Properties of Multidimensional Brownian Motion Exiting a Sphere
A. B. Dieker, Seong-Hee Kim
http://arxiv.org/abs/2104.08784v1
• [stat.ME]Exact Confidence Intervals for Linear Combinations of Multinomial Probabilities
Katherine A. Batterton, Christine M. Schubert, Richard L. Warr
http://arxiv.org/abs/2104.09474v1
• [stat.ME]Generalized Matrix Decomposition Regression: Estimation and Inference for Two-way Structured Data
Yue Wang, Ali Shojaie, Timothy W. Randolph, Jing Ma
http://arxiv.org/abs/2104.08408v1
• [stat.ME]Linear shrinkage for predicting responses in large-scale multivariate linear regression
Yihe Wang, Sihai Dave Zhao
http://arxiv.org/abs/2104.08970v1
• [stat.ME]Mixed Effect Modeling and Variable Selection for Quantile Regression
Haim Bar, James Booth, Martin T. Wells
http://arxiv.org/abs/2104.08595v1
• [stat.ME]Regularized Maximum Likelihood Estimation for the Random Coefficients Model
Emil Mendoza, Fabian Dunker, Marco Reale
http://arxiv.org/abs/2104.08402v1
• [stat.ME]Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption
Michael Edlinger, Maarten van Smeden, Hannes F Alber, Maria Wanitschek, Ben Van Calster
http://arxiv.org/abs/2104.09282v1
• [stat.ME]Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure
Wenxian Zhou, Giorgos Bakoyannis, Ying Zhang, Constantin T. Yiannoutsos
http://arxiv.org/abs/2104.09090v1
• [stat.ME]Testing for Outliers with Conformal p-values
Stephen Bates, Emmanuel Candès, Lihua Lei, Yaniv Romano, Matteo Sesia
http://arxiv.org/abs/2104.08279v2
• [stat.ML]Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Willie Neiswanger, Ke Alexander Wang, Stefano Ermon
http://arxiv.org/abs/2104.09460v1
• [stat.ML]Data Shapley Valuation for Efficient Batch Active Learning
Amirata Ghorbani, James Zou, Andre Esteva
http://arxiv.org/abs/2104.08312v1
• [stat.ML]Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff
Vincent Pisztora, Yanglan Ou, Xiaolei Huang, Francesca Chiaromonte, Jia Li
http://arxiv.org/abs/2104.09452v1
• [stat.ML]Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani
http://arxiv.org/abs/2104.08928v1
• [stat.ML]On the Robustness to Misspecification of -Posteriors and Their Variational Approximations
Marco Avella Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez