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

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    • [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

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    • [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 今日学术视野(2021.4.21) - 图1-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 今日学术视野(2021.4.21) - 图2-Posteriors and Their Variational Approximations

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

    • [cs.AI]A Negation Quantum Decision Model to Predict the Interference Effect in Categorization

    Qinyuan Wu, Yong Deng

    http://arxiv.org/abs/2104.09058v1

    • [cs.AI]A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment

    Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito

    http://arxiv.org/abs/2104.08555v1

    • [cs.AI]A SAR speckle filter based on Residual Convolutional Neural Networks

    Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo

    http://arxiv.org/abs/2104.09350v1

    • [cs.AI]A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings

    Eltayeb Ahmed, Luisa Zintgraf, Christian A. Schroeder de Witt, Nicolas Usunier

    http://arxiv.org/abs/2104.08492v1

    • [cs.AI]A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings

    Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao

    http://arxiv.org/abs/2104.09079v1

    • [cs.AI]Automatic glissade determination through a mathematical model in electrooculographic records

    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

    • [cs.AI]Dual-View Distilled BERT for Sentence Embedding

    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

    • [cs.AI]TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion

    Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung

    http://arxiv.org/abs/2104.08419v1

    • [cs.AI]Zero-shot Slot Filling with DPR and RAG

    Michael Glass, Gaetano Rossiello, Alfio Gliozzo

    http://arxiv.org/abs/2104.08610v1

    • [cs.CL]“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models

    Zihan Wang, Chengyu Dong, Jingbo Shang

    http://arxiv.org/abs/2104.08673v1

    • [cs.CL]A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques

    Kaiqi Fu, Jones Lin, Dengfeng Ke, Yanlu Xie, Jinsong Zhang, Binghuai Lin

    http://arxiv.org/abs/2104.08428v1

    • [cs.CL]A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering

    Yongqi Li, Wenjie Li, Liqiang Nie

    http://arxiv.org/abs/2104.08443v1

    • [cs.CL]A Stylistic Analysis of Honest Deception: The Case of Seinfeld TV Series Sitcom

    Mohcine El Baroudi

    http://arxiv.org/abs/2104.08599v1

    • [cs.CL]A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

    Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan

    http://arxiv.org/abs/2104.08704v1

    • [cs.CL]A multilabel approach to morphosyntactic probing

    Naomi Tachikawa Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld

    http://arxiv.org/abs/2104.08464v1

    • [cs.CL]A recipe for annotating grounded clarifications

    Luciana Benotti, Patrick Blackburn

    http://arxiv.org/abs/2104.08964v1

    • [cs.CL]AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples

    Qianchu Liu, Edoardo M. Ponti, Diana McCarthy, Ivan Vulić, Anna Korhonen

    http://arxiv.org/abs/2104.08639v1

    • [cs.CL]Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition

    Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney

    http://arxiv.org/abs/2104.09106v1

    • [cs.CL]Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers

    Takaaki Hori, Niko Moritz, Chiori Hori, Jonathan Le Roux

    http://arxiv.org/abs/2104.09426v1

    • [cs.CL]Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

    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

    • [cs.CL]AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

    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

    • [cs.CL]Are Word Embedding Methods Stable and Should We Care About It?

    Angana Borah, Manash Pratim Barman, Amit Awekar

    http://arxiv.org/abs/2104.08433v1

    • [cs.CL]Attacking Text Classifiers via Sentence Rewriting Sampler

    Lei Xu, Kalyan Veeramachaneni

    http://arxiv.org/abs/2104.08453v1

    • [cs.CL]Attention-based Clinical Note Summarization

    Neel Kanwal, Giuseppe Rizzo

    http://arxiv.org/abs/2104.08942v1

    • [cs.CL]BERTić — The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian

    Nikola Ljubešić, Davor Lauc

    http://arxiv.org/abs/2104.09243v1

    • [cs.CL]Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval

    Devang Kulshreshtha, Robert Belfer, Iulian Vlad Serban, Siva Reddy

    http://arxiv.org/abs/2104.08801v1

    • [cs.CL]BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models

    Aadil Islam, Weicheng Ma, Soroush Vosoughi

    http://arxiv.org/abs/2104.09040v1

    • [cs.CL]CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion

    Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam

    http://arxiv.org/abs/2104.08741v1

    • [cs.CL]Can NLI Models Verify QA Systems’ Predictions?

    Jifan Chen, Eunsol Choi, Greg Durrett

    http://arxiv.org/abs/2104.08731v1

    • [cs.CL]Case-based Reasoning for Natural Language Queries over Knowledge Bases

    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

    • [cs.CL]Characterizing Idioms: Conventionality and Contingency

    Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O’Donnell

    http://arxiv.org/abs/2104.08664v1

    • [cs.CL]Chinese Sentences Similarity via Cross-Attention Based Siamese Network

    Zhen Wang, Xiangxie Zhang, Yicong Tan

    http://arxiv.org/abs/2104.08787v1

    • [cs.CL]Code Structure Guided Transformer for Source Code Summarization

    Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia

    http://arxiv.org/abs/2104.09340v1

    • [cs.CL]Combating Temporal Drift in Crisis with Adapted Embeddings

    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 今日学术视野(2021.4.21) - 图3-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 今日学术视野(2021.4.21) - 图4-Posteriors and Their Variational Approximations

    Marco Avella Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez

    http://arxiv.org/abs/2104.08324v1