cs.AI - 人工智能
    cs.CC - 计算复杂度
    cs.CG - 计算几何学
    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.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.FL - 形式语言与自动机理论
    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.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
    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.CA - 古典分析与常微分方程
    math.CO - 组合数学
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.plasm-ph - 等离子体物理
    q-bio.NC - 神经元与认知
    q-fin.ST - 统计金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
    • [cs.AI]Be Considerate: Objectives, Side Effects, and Deciding How to Act
    • [cs.AI]Towards Fairness Certification in Artificial Intelligence
    • [cs.CC]On Classifying Continuous Constraint Satisfaction problems
    • [cs.CC]The Algorithmic Phase Transition of Random 今日学术视野(2021.6.8) - 图1-SAT for Low Degree Polynomials
    • [cs.CG]Covering Polygons is Even Harder
    • [cs.CL]AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
    • [cs.CL]Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
    • [cs.CL]AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
    • [cs.CL]AgreeSum: Agreement-Oriented Multi-Document Summarization
    • [cs.CL]Annotation Curricula to Implicitly Train Non-Expert Annotators
    • [cs.CL]BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
    • [cs.CL]Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
    • [cs.CL]CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
    • [cs.CL]COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
    • [cs.CL]Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
    • [cs.CL]Cross-language Sentence Selection via Data Augmentation and Rationale Training
    • [cs.CL]Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
    • [cs.CL]Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
    • [cs.CL]Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain
    • [cs.CL]ERICA: An Empathetic Android Companion for Covid-19 Quarantine
    • [cs.CL]ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
    • [cs.CL]Entity Concept-enhanced Few-shot Relation Extraction
    • [cs.CL]Great Service! Fine-grained Parsing of Implicit Arguments
    • [cs.CL]Grounding ‘Grounding’ in NLP
    • [cs.CL]How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
    • [cs.CL]Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics
    • [cs.CL]Knowing the No-match: Entity Alignment with Dangling Cases
    • [cs.CL]Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings
    • [cs.CL]Language Scaling for Universal Suggested Replies Model
    • [cs.CL]Modeling the Unigram Distribution
    • [cs.CL]NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
    • [cs.CL]Neural semi-Markov CRF for Monolingual Word Alignment
    • [cs.CL]Prediction or Comparison: Toward Interpretable Qualitative Reasoning
    • [cs.CL]Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing
    • [cs.CL]Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
    • [cs.CL]Scalable Transformers for Neural Machine Translation
    • [cs.CL]Self-supervised Dialogue Learning for Spoken Conversational Question Answering
    • [cs.CL]Towards Equal Gender Representation in the Annotations of Toxic Language Detection
    • [cs.CL]You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
    • [cs.CL]cs60075team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
    • [cs.CL]nmT5 — Is parallel data still relevant for pre-training massively multilingual language models?
    • [cs.CR]Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
    • [cs.CR]How Great is the Great Firewall? Measuring China’s DNS Censorship
    • [cs.CR]NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
    • [cs.CV]A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
    • [cs.CV]A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer
    • [cs.CV]A Survey on Deep Domain Adaptation for LiDAR Perception
    • [cs.CV]ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
    • [cs.CV]AI Driven Road Maintenance Inspection
    • [cs.CV]ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency
    • [cs.CV]Aligning Pretraining for Detection via Object-Level Contrastive Learning
    • [cs.CV]Associating Objects with Transformers for Video Object Segmentation
    • [cs.CV]BERT based sentiment analysis: A software engineering perspective
    • [cs.CV]Barcode Method for Generative Model Evaluation driven by Topological Data Analysis
    • [cs.CV]CAFLOW: Conditional Autoregressive Flows
    • [cs.CV]DOCTOR: A Simple Method for Detecting Misclassification Errors
    • [cs.CV]Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
    • [cs.CV]F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
    • [cs.CV]Few-Shot Segmentation via Cycle-Consistent Transformer
    • [cs.CV]Glance-and-Gaze Vision Transformer
    • [cs.CV]Hallucination In Object Detection — A Study In Visual Part Verification
    • [cs.CV]History Encoding Representation Design for Human Intention Inference
    • [cs.CV]Human-Adversarial Visual Question Answering
    • [cs.CV]Hybrid attention network based on progressive embedding scale-context for crowd counting
    • [cs.CV]Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model
    • [cs.CV]Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
    • [cs.CV]MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
    • [cs.CV]MERLOT: Multimodal Neural Script Knowledge Models
    • [cs.CV]NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
    • [cs.CV]Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories
    • [cs.CV]RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
    • [cs.CV]SOLQ: Segmenting Objects by Learning Queries
    • [cs.CV]Self-Supervised Learning of Domain Invariant Features for Depth Estimation
    • [cs.CV]Semantic Correspondence with Transformers
    • [cs.CV]Subdivision-Based Mesh Convolution Networks
    • [cs.CV]Tackling the Background Bias in Sparse Object Detection via Cropped Windows
    • [cs.CV]Temporally coherent video anonymization through GAN inpainting
    • [cs.CV]The Image Local Autoregressive Transformer
    • [cs.CV]Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation
    • [cs.CV]Visual Question Rewriting for Increasing Response Rate
    • [cs.CV]X-volution: On the unification of convolution and self-attention
    • [cs.CY]Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19
    • [cs.CY]Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
    • [cs.DB]Facade-X: an opinionated approach to SPARQL anything
    • [cs.DC]Blockchain for Transactive Energy Management of Distributed Energy Resources in Smart Grid
    • [cs.DC]Improved Distributed Lower Bounds for MIS and Bounded (Out-)Degree Dominating Sets in Trees
    • [cs.DC]Least-squares fitting of Gaussian spots on graphics processing units
    • [cs.FL]On (co-lex) Ordering Automata
    • [cs.GT]Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
    • [cs.HC]Privacy Preference Signals: Past, Present, Future
    • [cs.IR]A General Method for Event Detection on Social Media
    • [cs.IR]Learning Elastic Embeddings for Customizing On-Device Recommenders
    • [cs.IR]New Insights into Metric Optimization for Ranking-based Recommendation
    • [cs.IR]Using Social Media Background to Improve Cold-start Recommendation Deep Models
    • [cs.IT]Improved batch code lower bounds
    • [cs.IT]Memory Approximate Message Passing
    • [cs.IT]Over-the-Air Computation via Broadband Channels
    • [cs.IT]Quantum Synchronizable Codes From Cyclotomic Classes of Order Two over ![](https://g.yuque.com/gr/latex?%5Cmathbb%7BZ%7D    %7B2q%7D#card=math&code=%5Cmathbb%7BZ%7D_%7B2q%7D&id=T6qPv)
    • [cs.IT]The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
    • [cs.IT]Transforming Fading Channel from Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication
    • [cs.LG]A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
    • [cs.LG]A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations
    • [cs.LG]A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning
    • [cs.LG]A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
    • [cs.LG]Active Covering
    • [cs.LG]Adiabatic Quantum Feature Selection for Sparse Linear Regression
    • [cs.LG]Analysis of the robustness of NMF algorithms
    • [cs.LG]Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
    • [cs.LG]Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
    • [cs.LG]Contracting Neural-Newton Solver
    • [cs.LG]Counterfactual Graph Learning for Link Prediction
    • [cs.LG]Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
    • [cs.LG]Debiasing a First-order Heuristic for Approximate Bi-level Optimization
    • [cs.LG]Deep Switching State Space Model (DS今日学术视野(2021.6.8) - 图2M) for Nonlinear Time Series Forecasting with Regime Switching
    • [cs.LG]Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems
    • [cs.LG]Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
    • [cs.LG]Distributional Sliced Embedding Discrepancy for Incomparable Distributions
    • [cs.LG]Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
    • [cs.LG]Evaluation of Local Model-Agnostic Explanations Using Ground Truth
    • [cs.LG]Event Classification with Multi-step Machine Learning
    • [cs.LG]Fair Exploration via Axiomatic Bargaining
    • [cs.LG]FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
    • [cs.LG]Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
    • [cs.LG]Fuzzy Clustering with Similarity Queries
    • [cs.LG]Graph Barlow Twins: A self-supervised representation learning framework for graphs
    • [cs.LG]Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making
    • [cs.LG]Inferring Granger Causality from Irregularly Sampled Time Series
    • [cs.LG]Influence Estimation and Maximization via Neural Mean-Field Dynamics
    • [cs.LG]Learning Slice-Aware Representations with Mixture of Attentions
    • [cs.LG]Local Adaptivity in Federated Learning: Convergence and Consistency
    • [cs.LG]Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
    • [cs.LG]Multitask Online Mirror Descent
    • [cs.LG]Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres
    • [cs.LG]Neural Architecture Search via Bregman Iterations
    • [cs.LG]Online reinforcement learning with sparse rewards through an active inference capsule
    • [cs.LG]Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
    • [cs.LG]Principled change point detection via representation learning
    • [cs.LG]Privately Learning Mixtures of Axis-Aligned Gaussians
    • [cs.LG]RL-DARTS: Differentiable Architecture Search for Reinforcement Learning
    • [cs.LG]Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks
    • [cs.LG]SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
    • [cs.LG]Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
    • [cs.LG]Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
    • [cs.LG]Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
    • [cs.LG]Stochastic Iterative Graph Matching
    • [cs.LG]Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
    • [cs.LG]Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
    • [cs.LG]Strategyproof Learning: Building Trustworthy User-Generated Datasets
    • [cs.LG]Top-今日学术视野(2021.6.8) - 图3 Regularization for Supervised Feature Selection
    • [cs.LG]Transferable and Distributed User Association Policies for 5G and Beyond Networks
    • [cs.LG]ViViT: Curvature access through the generalized Gauss-Newton’s low-rank structure
    • [cs.NE]Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
    • [cs.NI]An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
    • [cs.NI]Graph-based Deep Learning for Communication Networks: A Survey
    • [cs.RO]A Unified Bi-directional Model for Natural and Artificial Trust in Human-Robot Collaboration
    • [cs.RO]Analysis of draft EU ADS Performance Requirements
    • [cs.RO]Contour Moments Based Manipulation of Composite Rigid-Deformable Objects with Finite Time Model Estimation and Shape/Position Control
    • [cs.RO]Disentangling Dense Multi-Cable Knots
    • [cs.RO]Experimental Comparison of Visual and Single-Receiver GPS Odometry
    • [cs.RO]Flying with Cartographer: Adapting the Cartographer 3D Graph SLAM Stack for UAV Navigation
    • [cs.RO]How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
    • [cs.RO]Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly
    • [cs.RO]Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem
    • [cs.RO]Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance
    • [cs.SD]Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning
    • [cs.SI]Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation
    • [eess.AS]Approximate Fixed-Points in Recurrent Neural Networks
    • [eess.AS]Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
    • [eess.AS]Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
    • [eess.AS]Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
    • [eess.AS]Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation
    • [eess.AS]Teaching keyword spotters to spot new keywords with limited examples
    • [eess.IV]CNNs and GANs in MRI-based cross-modality medical image estimation
    • [eess.IV]Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
    • [eess.IV]SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
    • [eess.IV]Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge
    • [eess.SP]Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?
    • [eess.SP]COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
    • [eess.SY]A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage
    • [eess.SY]A guidance and maneuvering control system design with anti-collision using stream functions with vortex flows for autonomous marine vessels
    • [eess.SY]Intelligent Transportation Systems to Mitigate Road Traffic Congestion
    • [math.CA]The sine kernel, two corresponding operator identities, and random matrices
    • [math.CO]Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics
    • [math.OC]Learning Hard Optimization Problems: A Data Generation Perspective
    • [math.PR]Efficient 今日学术视野(2021.6.8) - 图4 synchronization on 今日学术视野(2021.6.8) - 图5 under symmetry-preserving side information
    • [math.ST]Matrix completion with data-dependent missingness probabilities
    • [math.ST]On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift
    • [physics.chem-ph]SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
    • [physics.plasm-ph]Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements
    • [q-bio.NC]Extreme sparsity gives rise to functional specialization
    • [q-fin.ST]Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio
    • [q-fin.ST]Price graphs: Utilizing the structural information of financial time series for stock prediction
    • [quant-ph]Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
    • [stat.AP]Estimating parking occupancy using smart meter transaction data
    • [stat.CO]varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models
    • [stat.ME]Automated calibration for stability selection in penalised regression and graphical models: a multi-OMICs network application exploring the molecular response to tobacco smoking
    • [stat.ME]Bayesian inference on high-dimensional multivariate binary data
    • [stat.ME]Distributed nonparametric regression imputation for missing response problems with large-scale data
    • [stat.ME]Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
    • [stat.ME]Power of Mediation Effects Using Bootstrap Resampling
    • [stat.ME]Spatially relaxed inference on high-dimensional linear models
    • [stat.ML]Bandit Phase Retrieval
    • [stat.ML]Beyond Target Networks: Improving Deep 今日学术视野(2021.6.8) - 图6-learning with Functional Regularization
    • [stat.ML]Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes
    • [stat.ML]Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
    • [stat.ML]Out-of-Distribution Generalization in Kernel Regression
    • [stat.ML]PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
    • [stat.ML]Provably Strict Generalisation Benefit for Invariance in Kernel Methods

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

    • [cs.AI]Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants
    Gavin Abercrombie, Amanda Cercas Curry, Mugdha Pandya, Verena Rieser
    http://arxiv.org/abs/2106.02578v1

    • [cs.AI]Be Considerate: Objectives, Side Effects, and Deciding How to Act
    Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
    http://arxiv.org/abs/2106.02617v1

    • [cs.AI]Towards Fairness Certification in Artificial Intelligence
    Tatiana Tommasi, Silvia Bucci, Barbara Caputo, Pietro Asinari
    http://arxiv.org/abs/2106.02498v1

    • [cs.CC]On Classifying Continuous Constraint Satisfaction problems
    Tillmann Miltzow, Reinier F. Schmiermann
    http://arxiv.org/abs/2106.02397v1

    • [cs.CC]The Algorithmic Phase Transition of Random 今日学术视野(2021.6.8) - 图7-SAT for Low Degree Polynomials
    Guy Bresler, Brice Huang
    http://arxiv.org/abs/2106.02129v1

    • [cs.CG]Covering Polygons is Even Harder
    Mikkel Abrahamsen
    http://arxiv.org/abs/2106.02335v1

    • [cs.CL]AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
    Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
    http://arxiv.org/abs/2106.02318v1

    • [cs.CL]Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
    Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou
    http://arxiv.org/abs/2106.02228v1

    • [cs.CL]AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
    Weile Chen, Huiqiang Jiang, Qianhui Wu, Börje F. Karlsson, Yi Guan
    http://arxiv.org/abs/2106.02300v1

    • [cs.CL]AgreeSum: Agreement-Oriented Multi-Document Summarization
    Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran, Cong Yu
    http://arxiv.org/abs/2106.02278v1

    • [cs.CL]Annotation Curricula to Implicitly Train Non-Expert Annotators
    Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych
    http://arxiv.org/abs/2106.02382v1

    • [cs.CL]BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
    Inigo Jauregi Unanue, Jacob Parnell, Massimo Piccardi
    http://arxiv.org/abs/2106.02208v1

    • [cs.CL]Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
    Ruikun Luo, Guanhuan Huang, Xiaojun Quan
    http://arxiv.org/abs/2106.02327v1

    • [cs.CL]CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
    James Mullenbach, Yada Pruksachatkun, Sean Adler, Jennifer Seale, Jordan Swartz, T. Greg McKelvey, Hui Dai, Yi Yang, David Sontag
    http://arxiv.org/abs/2106.02524v1

    • [cs.CL]COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
    Debjit Paul, Anette Frank
    http://arxiv.org/abs/2106.02497v1

    • [cs.CL]Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
    Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou
    http://arxiv.org/abs/2106.02227v1

    • [cs.CL]Cross-language Sentence Selection via Data Augmentation and Rationale Training
    Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuščáková, Rui Zhang, Douglas W. Oard, Kathleen McKeown
    http://arxiv.org/abs/2106.02293v1

    • [cs.CL]Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
    Zhi Chen, Lu Chen Hanqi Li, Ruisheng Cao, Da Ma, Mengyue Wu, Kai Yu
    http://arxiv.org/abs/2106.02282v1

    • [cs.CL]Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
    Rowan Hall Maudslay, Ryan Cotterell
    http://arxiv.org/abs/2106.02559v1

    • [cs.CL]Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain
    Chaïm van Toledo, Friso van Dijk, Marco Spruit
    http://arxiv.org/abs/2106.02287v1

    • [cs.CL]ERICA: An Empathetic Android Companion for Covid-19 Quarantine
    Etsuko Ishii, Genta Indra Winata, Samuel Cahyawijaya, Divesh Lala, Tatsuya Kawahara, Pascale Fung
    http://arxiv.org/abs/2106.02325v1

    • [cs.CL]ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
    Weiyue Su, Xuyi Chen, Shikun Feng, Jiaxiang Liu, Weixin Liu, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/2106.02241v1

    • [cs.CL]Entity Concept-enhanced Few-shot Relation Extraction
    Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu
    http://arxiv.org/abs/2106.02401v1

    • [cs.CL]Great Service! Fine-grained Parsing of Implicit Arguments
    Ruixiang Cui, Daniel Hershcovich
    http://arxiv.org/abs/2106.02561v1

    • [cs.CL]Grounding ‘Grounding’ in NLP
    Khyathi Raghavi Chandu, Yonatan Bisk, Alan W Black
    http://arxiv.org/abs/2106.02192v1

    • [cs.CL]How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
    Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
    http://arxiv.org/abs/2106.02359v1

    • [cs.CL]Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics
    Thomas Conley, Jack St. Clair, Jugal Kalita
    http://arxiv.org/abs/2106.02516v1

    • [cs.CL]Knowing the No-match: Entity Alignment with Dangling Cases
    Zequn Sun, Muhao Chen, Wei Hu
    http://arxiv.org/abs/2106.02248v1

    • [cs.CL]Language Model Metrics and Procrustes Analysis for Improved Vector Transformation of NLP Embeddings
    Thomas Conley, Jugal Kalita
    http://arxiv.org/abs/2106.02490v1

    • [cs.CL]Language Scaling for Universal Suggested Replies Model
    Qianlan Yin
    cae
    g, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang
    http://arxiv.org/abs/2106.02232v1

    • [cs.CL]Modeling the Unigram Distribution
    Irene Nikkarinen, Tiago Pimentel, Damián E. Blasi, Ryan Cotterell
    http://arxiv.org/abs/2106.02289v1

    • [cs.CL]NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
    Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang
    http://arxiv.org/abs/2106.02210v1

    • [cs.CL]Neural semi-Markov CRF for Monolingual Word Alignment
    Wuwei Lan, Chao Jiang, Wei Xu
    http://arxiv.org/abs/2106.02569v1

    • [cs.CL]Prediction or Comparison: Toward Interpretable Qualitative Reasoning
    Mucheng Ren, Heyan Huang, Yang Gao
    http://arxiv.org/abs/2106.02399v1

    • [cs.CL]Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing
    Zhaoxin Luo, Michael Zhu
    http://arxiv.org/abs/2106.02562v1

    • [cs.CL]Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
    Yunhao Li, Yunyi Yang, Xiaojun Quan, Jianxing Yu
    http://arxiv.org/abs/2106.02317v1

    • [cs.CL]Scalable Transformers for Neural Machine Translation
    Peng Gao, Shijie Geng, Xiaogang Wang, Jifeng Dai, Hongsheng Li
    http://arxiv.org/abs/2106.02242v1

    • [cs.CL]Self-supervised Dialogue Learning for Spoken Conversational Question Answering
    Nuo Chen, Chenyu You, Yuexian Zou
    http://arxiv.org/abs/2106.02182v1

    • [cs.CL]Towards Equal Gender Representation in the Annotations of Toxic Language Detection
    Elizabeth Excell, Noura Al Moubayed
    http://arxiv.org/abs/2106.02183v1

    • [cs.CL]You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
    Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
    http://arxiv.org/abs/2106.02435v1

    • [cs.CL]cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
    Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala
    http://arxiv.org/abs/2106.02340v1

    • [cs.CL]nmT5 — Is parallel data still relevant for pre-training massively multilingual language models?
    Mihir Kale, Aditya Siddhant, Noah Constant, Melvin Johnson, Rami Al-Rfou, Linting Xue
    http://arxiv.org/abs/2106.02171v1

    • [cs.CR]Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
    Nuttapong Attrapadung, Koki Hamada, Dai Ikarashi, Ryo Kikuchi, Takahiro Matsuda, Ibuki Mishina, Hiraku Morita, Jacob C. N. Schuldt
    http://arxiv.org/abs/2106.02203v1

    • [cs.CR]How Great is the Great Firewall? Measuring China’s DNS Censorship
    Nguyen Phong Hoang, Arian Akhavan Niaki, Jakub Dalek, Jeffrey Knockel, Pellaeon Lin, Bill Marczak, Masashi Crete-Nishihata, Phillipa Gill, Michalis Polychronakis
    http://arxiv.org/abs/2106.02167v1

    • [cs.CR]NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
    Adam Yala, Homa Esfahanizadeh, Rafael G. L. D’ Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Medard
    http://arxiv.org/abs/2106.02484v1

    • [cs.CV]A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval
    Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
    http://arxiv.org/abs/2106.02400v1

    • [cs.CV]A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer
    Weiming Hu, Chen Li, Xiaoyan Li, Haoyuan Chen, Wanli Liu, Changhao Sun, Marcin Grzegorzek
    http://arxiv.org/abs/2106.02473v1

    • [cs.CV]A Survey on Deep Domain Adaptation for LiDAR Perception
    Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner
    http://arxiv.org/abs/2106.02377v1

    • [cs.CV]ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking
    Bowen Li, Changhong Fu, Fangqiang Ding, Junjie Ye, Fuling Lin
    http://arxiv.org/abs/2106.02495v1

    • [cs.CV]AI Driven Road Maintenance Inspection
    Ratnajit Mukherjee, Haris Iqbal, Shabbir Marzban, Ahmed Badar, Terence Brouns, Shruthi Gowda, Elahe Arani, Bahram Zonooz
    http://arxiv.org/abs/2106.02567v1

    • [cs.CV]ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency
    Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding
    http://arxiv.org/abs/2106.02342v1

    • [cs.CV]Aligning Pretraining for Detection via Object-Level Contrastive Learning
    Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
    http://arxiv.org/abs/2106.02637v1

    • [cs.CV]Associating Objects with Transformers for Video Object Segmentation
    Zongxin Yang, Yunchao Wei, Yi Yang
    http://arxiv.org/abs/2106.02638v1

    • [cs.CV]BERT based sentiment analysis: A software engineering perspective
    Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
    http://arxiv.org/abs/2106.02581v1

    • [cs.CV]Barcode Method for Generative Model Evaluation driven by Topological Data Analysis
    Ryoungwoo Jang, Minjee Kim, Da-in Eun, Kyungjin Cho, Jiyeon Seo, Namkug Kim
    http://arxiv.org/abs/2106.02207v1

    • [cs.CV]CAFLOW: Conditional Autoregressive Flows
    Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola Bibiane Schönlieb
    http://arxiv.org/abs/2106.02531v1

    • [cs.CV]DOCTOR: A Simple Method for Detecting Misclassification Errors
    Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
    http://arxiv.org/abs/2106.02395v1

    • [cs.CV]Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
    Shangfei Wang, Yanan Chang, Guozhu Peng, Bowen Pan
    http://arxiv.org/abs/2106.02258v1

    • [cs.CV]F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain
    Shin’ya Yamaguchi, Sekitoshi Kanai
    http://arxiv.org/abs/2106.02343v1

    • [cs.CV]Few-Shot Segmentation via Cycle-Consistent Transformer
    Gengwei Zhang, Guoliang Kang, Yunchao Wei, Yi Yang
    http://arxiv.org/abs/2106.02320v1

    • [cs.CV]Glance-and-Gaze Vision Transformer
    Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan Yuille, Wei Shen
    http://arxiv.org/abs/2106.02277v1

    • [cs.CV]Hallucination In Object Detection — A Study In Visual Part Verification
    Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert
    http://arxiv.org/abs/2106.02523v1

    • [cs.CV]History Encoding Representation Design for Human Intention Inference
    Zhuo Xu, Masayoshi Tomizuka
    http://arxiv.org/abs/2106.02222v1

    • [cs.CV]Human-Adversarial Visual Question Answering
    Sasha Sheng, Amanpreet Singh, Vedanuj Goswami, Jose Alberto Lopez Magana, Wojciech Galuba, Devi Parikh, Douwe Kiela
    http://arxiv.org/abs/2106.02280v1

    • [cs.CV]Hybrid attention network based on progressive embedding scale-context for crowd counting
    Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang
    http://arxiv.org/abs/2106.02324v1

    • [cs.CV]Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model
    Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère
    http://arxiv.org/abs/2106.02566v1

    • [cs.CV]Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
    Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Fredo Durand
    http://arxiv.org/abs/2106.02634v1

    • [cs.CV]MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution
    Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia
    http://arxiv.org/abs/2106.02299v1

    • [cs.CV]MERLOT: Multimodal Neural Script Knowledge Models
    Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
    http://arxiv.org/abs/2106.02636v1

    • [cs.CV]NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection
    Zekun Luo, Zheng Fang, Sixiao Zheng, Yabiao Wang, Yanwei Fu
    http://arxiv.org/abs/2106.02426v1

    • [cs.CV]Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories
    Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
    http://arxiv.org/abs/2106.02598v1

    • [cs.CV]RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
    Tong Qin, Yuxin Zheng, Tongqing Chen, Yilun Chen, Qing Su
    http://arxiv.org/abs/2106.02527v1

    • [cs.CV]SOLQ: Segmenting Objects by Learning Queries
    Bin Dong, Fangao Zeng, Tiancai Wang, Xiangyu Zhang, Yichen Wei
    http://arxiv.org/abs/2106.02351v1

    • [cs.CV]Self-Supervised Learning of Domain Invariant Features for Depth Estimation
    Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
    http://arxiv.org/abs/2106.02594v1

    • [cs.CV]Semantic Correspondence with Transformers
    Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim
    http://arxiv.org/abs/2106.02520v1

    • [cs.CV]Subdivision-Based Mesh Convolution Networks
    Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin
    http://arxiv.org/abs/2106.02285v1

    • [cs.CV]Tackling the Background Bias in Sparse Object Detection via Cropped Windows
    Leon Amadeus Varga, Andreas Zell
    http://arxiv.org/abs/2106.02288v1

    • [cs.CV]Temporally coherent video anonymization through GAN inpainting
    Thangapavithraa Balaji, Patrick Blies, Georg Göri, Raphael Mitsch, Marcel Wasserer, Torsten Schön
    http://arxiv.org/abs/2106.02328v1

    • [cs.CV]The Image Local Autoregressive Transformer
    Chenjie Cao, Yuxin Hong, Xiang Li, Chengrong Wang, Chengming Xu, XiangYang Xue, Yanwei Fu
    http://arxiv.org/abs/2106.02514v1

    • [cs.CV]Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation
    Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto
    http://arxiv.org/abs/2106.02267v1

    • [cs.CV]Visual Question Rewriting for Increasing Response Rate
    Jiayi Wei, Xilian Li, Yi Zhang, Xin Wang
    http://arxiv.org/abs/2106.02257v1

    • [cs.CV]X-volution: On the unification of convolution and self-attention
    Xuanhong Chen, Hang Wang, Bingbing Ni
    http://arxiv.org/abs/2106.02253v1

    • [cs.CY]Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19
    Vishrawas Gopalakrishnan, Sayali Navalekar, Pan Ding, Ryan Hooley, Jacob Miller, Raman Srinivasan, Ajay Deshpande, Xuan Liu, Simone Bianco, James H. Kaufman
    http://arxiv.org/abs/2106.02094v1

    • [cs.CY]Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
    Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko
    http://arxiv.org/abs/2106.02596v1

    • [cs.DB]Facade-X: an opinionated approach to SPARQL anything
    Enrico Daga, Luigi Asprino, Paul Mulholland, Aldo Gangemi
    http://arxiv.org/abs/2106.02361v1

    • [cs.DC]Blockchain for Transactive Energy Management of Distributed Energy Resources in Smart Grid
    Qing Yang, Hao Wang, Xiaoxiao Wu, Taotao Wang, Shengli Zhang
    http://arxiv.org/abs/2106.02529v1

    • [cs.DC]Improved Distributed Lower Bounds for MIS and Bounded (Out-)Degree Dominating Sets in Trees
    Alkida Balliu, Sebastian Brandt, Fabian Kuhn, Dennis Olivetti
    http://arxiv.org/abs/2106.02440v1

    • [cs.DC]Least-squares fitting of Gaussian spots on graphics processing units
    Marcel Leutenegger, Michael Weber
    http://arxiv.org/abs/2106.02045v1

    • [cs.FL]On (co-lex) Ordering Automata
    Giovanna D’Agostino, Nicola Cotumaccio, Alberto Policriti, Nicola Prezza
    http://arxiv.org/abs/2106.02309v1

    • [cs.GT]Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
    Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh
    http://arxiv.org/abs/2106.02615v1

    • [cs.HC]Privacy Preference Signals: Past, Present, Future
    Maximilian Hils, Daniel W. Woods, Rainer Böhme
    http://arxiv.org/abs/2106.02283v1

    • [cs.IR]A General Method for Event Detection on Social Media
    Yihong Zhang, Masumi Shirakawa, Takahiro Hara
    http://arxiv.org/abs/2106.02250v1

    • [cs.IR]Learning Elastic Embeddings for Customizing On-Device Recommenders
    Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
    http://arxiv.org/abs/2106.02223v1

    • [cs.IR]New Insights into Metric Optimization for Ranking-based Recommendation
    Roger Zhe Li, Julián Urbano, Alan Hanjalic
    http://arxiv.org/abs/2106.02545v1

    • [cs.IR]Using Social Media Background to Improve Cold-start Recommendation Deep Models
    Yihong Zhang, Takuya Maekawa, Takahiro Hara
    http://arxiv.org/abs/2106.02256v1

    • [cs.IT]Improved batch code lower bounds
    Ray Li, Mary Wootters
    http://arxiv.org/abs/2106.02163v1

    • [cs.IT]Memory Approximate Message Passing
    Lei Liu, Shunqi Huang, Brian M. Kurkoski
    http://arxiv.org/abs/2106.02237v1

    • [cs.IT]Over-the-Air Computation via Broadband Channels
    Tianrui Qin, Wanchun Liu, Branka Vucetic, Yonghui Li
    http://arxiv.org/abs/2106.02243v1

    • [cs.IT]Quantum Synchronizable Codes From Cyclotomic Classes of Order Two over 今日学术视野(2021.6.8) - 图8
    Tao Wang, Tongjiang Yan, Xueting Wang
    http://arxiv.org/abs/2106.02470v1

    • [cs.IT]The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification
    Akram Aldroubi, Rocio Diaz Martin, Ivan Medri, Gustavo K. Rohde, Sumati Thareja
    http://arxiv.org/abs/2106.02146v1

    • [cs.IT]Transforming Fading Channel from Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication
    Zixuan Huang, Beixiong Zheng, Rui Zhang
    http://arxiv.org/abs/2106.02274v1

    • [cs.LG]A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
    Anand Kalvit, Assaf Zeevi
    http://arxiv.org/abs/2106.02126v1

    • [cs.LG]A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations
    Chaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang
    http://arxiv.org/abs/2106.02605v1

    • [cs.LG]A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning
    Şükrü Ozan, Leonardo Obinna Iheme
    http://arxiv.org/abs/2106.02433v1

    • [cs.LG]A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
    Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
    http://arxiv.org/abs/2106.02585v1

    • [cs.LG]Active Covering
    Heinrich Jiang, Afshin Rostamizadeh
    http://arxiv.org/abs/2106.02552v1

    • [cs.LG]Adiabatic Quantum Feature Selection for Sparse Linear Regression
    Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan
    http://arxiv.org/abs/2106.02357v1

    • [cs.LG]Analysis of the robustness of NMF algorithms
    Alex Díaz, Damian Steele
    http://arxiv.org/abs/2106.02213v1

    • [cs.LG]Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective
    Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen Roberts, Yarin Gal
    http://arxiv.org/abs/2106.02469v1

    • [cs.LG]Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
    Chenghao Li, Chengjie WU, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang
    http://arxiv.org/abs/2106.02195v1

    • [cs.LG]Contracting Neural-Newton Solver
    Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis
    http://arxiv.org/abs/2106.02543v1

    • [cs.LG]Counterfactual Graph Learning for Link Prediction
    Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
    http://arxiv.org/abs/2106.02172v1

    • [cs.LG]Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
    Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R Devon Hjelm, Andrey Kolobov
    http://arxiv.org/abs/2106.02193v1

    • [cs.LG]Debiasing a First-order Heuristic for Approximate Bi-level Optimization
    Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Davis, Adrian Weller
    http://arxiv.org/abs/2106.02487v1

    • [cs.LG]Deep Switching State Space Model (DS今日学术视野(2021.6.8) - 图9M) for Nonlinear Time Series Forecasting with Regime Switching
    Xiuqin Xu, Ying Chen
    http://arxiv.org/abs/2106.02329v1

    • [cs.LG]Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems
    Thorben Frank, Stefan Chmiela
    http://arxiv.org/abs/2106.02549v1

    • [cs.LG]Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
    Zhang Zhaoyang, Shao Wenqi, Gu Jinwei, Wang Xiaogang, Luo Ping
    http://arxiv.org/abs/2106.02295v1

    • [cs.LG]Distributional Sliced Embedding Discrepancy for Incomparable Distributions
    Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy
    http://arxiv.org/abs/2106.02542v1

    • [cs.LG]Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
    Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Z. Y. Xie, Zhong-Yi Lu, Ji-Rong Wen
    http://arxiv.org/abs/2106.02205v1

    • [cs.LG]Evaluation of Local Model-Agnostic Explanations Using Ground Truth
    Amir Hossein Akhavan Rahnama, Judith Butepage, Pierre Geurts, Henrik Bostrom
    http://arxiv.org/abs/2106.02488v1

    • [cs.LG]Event Classification with Multi-step Machine Learning
    Masahiko Saito, Tomoe Kishimoto, Yuya Kaneta, Taichi Itoh, Yoshiaki Umeda, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi
    http://arxiv.org/abs/2106.02301v1

    • [cs.LG]Fair Exploration via Axiomatic Bargaining
    Jackie Baek, Vivek F. Farias
    http://arxiv.org/abs/2106.02553v1

    • [cs.LG]FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
    Sung Kuk Shyn, Donghee Kim, Kwangsu Kim
    http://arxiv.org/abs/2106.02310v1

    • [cs.LG]Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
    Zeyuan Allen-Zhu, Yuanzhi Li
    http://arxiv.org/abs/2106.02619v1

    • [cs.LG]Fuzzy Clustering with Similarity Queries
    Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
    http://arxiv.org/abs/2106.02212v1

    • [cs.LG]Graph Barlow Twins: A self-supervised representation learning framework for graphs
    Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
    http://arxiv.org/abs/2106.02466v1

    • [cs.LG]Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making
    Piyush K. Sharma
    http://arxiv.org/abs/2106.02044v1

    • [cs.LG]Inferring Granger Causality from Irregularly Sampled Time Series
    Song Wei, Yao Xie, Christopher S. Josef, Rishikesan Kamaleswaran
    http://arxiv.org/abs/2106.02600v1

    • [cs.LG]Influence Estimation and Maximization via Neural Mean-Field Dynamics
    Shushan He, Hongyuan Zha, Xiaojing Ye
    http://arxiv.org/abs/2106.02608v1

    • [cs.LG]Learning Slice-Aware Representations with Mixture of Attentions
    Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya
    http://arxiv.org/abs/2106.02363v1

    • [cs.LG]Local Adaptivity in Federated Learning: Convergence and Consistency
    Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi
    http://arxiv.org/abs/2106.02305v1

    • [cs.LG]Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
    Robert-Florian Samoilescu, Arnaud Van Looveren, Janis Klaise
    http://arxiv.org/abs/2106.02597v1

    • [cs.LG]Multitask Online Mirror Descent
    Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
    http://arxiv.org/abs/2106.02393v1

    • [cs.LG]Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres
    Zacharaya Shabka, Georgios Zervas
    http://arxiv.org/abs/2106.02412v1

    • [cs.LG]Neural Architecture Search via Bregman Iterations
    Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
    http://arxiv.org/abs/2106.02479v1

    • [cs.LG]Online reinforcement learning with sparse rewards through an active inference capsule
    Alejandro Daniel Noel, Charel van Hoof, Beren Millidge
    http://arxiv.org/abs/2106.02390v1

    • [cs.LG]Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
    Youming Tao, Yulian Wu, Peng Zhao, Di Wang
    http://arxiv.org/abs/2106.02575v1

    • [cs.LG]Principled change point detection via representation learning
    Evgenia Romanenkova, Alexey Zaytsev, Ramil Zainulin, Matvey Morozov
    http://arxiv.org/abs/2106.02602v1

    • [cs.LG]Privately Learning Mixtures of Axis-Aligned Gaussians
    Ishaq Aden-Ali, Hassan Ashtiani, Christopher Liaw
    http://arxiv.org/abs/2106.02162v1

    • [cs.LG]RL-DARTS: Differentiable Architecture Search for Reinforcement Learning
    Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
    http://arxiv.org/abs/2106.02229v1

    • [cs.LG]Regularization and Reparameterization Avoid Vanishing Gradients in Sigmoid-Type Networks
    Leni Ven, Johannes Lederer
    http://arxiv.org/abs/2106.02260v1

    • [cs.LG]SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
    Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja, Irina Rish
    http://arxiv.org/abs/2106.02266v1

    • [cs.LG]Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
    Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal
    http://arxiv.org/abs/2106.02584v1

    • [cs.LG]Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
    Jinjie Zhang, Alexander Cloninger, Rayan Saab
    http://arxiv.org/abs/2106.02614v1

    • [cs.LG]Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
    Yulun Wu, Nicholas Choma, Andrew Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
    http://arxiv.org/abs/2106.02190v1

    • [cs.LG]Stochastic Iterative Graph Matching
    Linfeng Liu, Michael C. Hughes, Soha Hassoun, Li-Ping Liu
    http://arxiv.org/abs/2106.02206v1

    • [cs.LG]Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
    Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
    http://arxiv.org/abs/2106.02436v1

    • [cs.LG]Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
    Stephan Wojtowytsch
    http://arxiv.org/abs/2106.02588v1

    • [cs.LG]Strategyproof Learning: Building Trustworthy User-Generated Datasets
    Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang
    http://arxiv.org/abs/2106.02398v1

    • [cs.LG]Top-今日学术视野(2021.6.8) - 图10 Regularization for Supervised Feature Selection
    Xinxing Wu, Qiang Cheng
    http://arxiv.org/abs/2106.02197v1

    • [cs.LG]Transferable and Distributed User Association Policies for 5G and Beyond Networks
    Mohamed Sana, Nicola di Pietro, Emilio Calvanese Strinati
    http://arxiv.org/abs/2106.02540v1

    • [cs.LG]ViViT: Curvature access through the generalized Gauss-Newton’s low-rank structure
    Felix Dangel, Lukas Tatzel, Philipp Hennig
    http://arxiv.org/abs/2106.02624v1

    • [cs.NE]Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding
    Seongsik Park, Sungroh Yoon
    http://arxiv.org/abs/2106.02568v1

    • [cs.NI]An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
    Emna Baccour, Fatima Haouari, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani, Mounir Hamdi
    http://arxiv.org/abs/2106.02420v1

    • [cs.NI]Graph-based Deep Learning for Communication Networks: A Survey
    Weiwei Jiang
    http://arxiv.org/abs/2106.02533v1

    • [cs.RO]A Unified Bi-directional Model for Natural and Artificial Trust in Human-Robot Collaboration
    Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert Jr., Dawn M. Tilbury
    http://arxiv.org/abs/2106.02194v1

    • [cs.RO]Analysis of draft EU ADS Performance Requirements
    Maria Soledad Elli, Jack Weast
    http://arxiv.org/abs/2106.02148v1

    • [cs.RO]Contour Moments Based Manipulation of Composite Rigid-Deformable Objects with Finite Time Model Estimation and Shape/Position Control
    Jiaming Qi, Guangfu Ma, Jihong Zhu, Peng Zhou, Yueyong Lyu, Haibo Zhang, David Navarro-Alarcon
    http://arxiv.org/abs/2106.02424v1

    • [cs.RO]Disentangling Dense Multi-Cable Knots
    Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
    http://arxiv.org/abs/2106.02252v1

    • [cs.RO]Experimental Comparison of Visual and Single-Receiver GPS Odometry
    Benjamin Congram, Timothy D. Barfoot
    http://arxiv.org/abs/2106.02122v1

    • [cs.RO]Flying with Cartographer: Adapting the Cartographer 3D Graph SLAM Stack for UAV Navigation
    Juraj Orsulić, Robert Milijas, Ana Batinovic, Lovro Markovic, Antun Ivanovic, Stjepan Bogdan
    http://arxiv.org/abs/2106.02535v1

    • [cs.RO]How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
    Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano
    http://arxiv.org/abs/2106.02445v1

    • [cs.RO]Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly
    Valentin Noah Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint
    http://arxiv.org/abs/2106.02489v1

    • [cs.RO]Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem
    John Lloyd, Yijiong Lin, Nathan F. Lepora
    http://arxiv.org/abs/2106.02125v1

    • [cs.RO]Using Trust in Automation to Enhance Driver-(Semi)Autonomous Vehicle Interaction and Improve Team Performance
    Hebert Azevedo-Sa, X. Jessie Yang, Lionel P. Robert Jr., Dawn M. Tilbury
    http://arxiv.org/abs/2106.02136v1

    • [cs.SD]Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning
    Farris Nicholas, Model Brian, Savery Richard, Weinberg Gil
    http://arxiv.org/abs/2106.02556v1

    • [cs.SI]Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation
    Anusua Trivedi, Alyssa Suhm, Prathamesh Mahankal, Subhiksha Mukuntharaj, Meghana D. Parab, Malvika Mohan, Meredith Berger, Arathi Sethumadhavan, Ashish Jaiman, Rahul Dodhia
    http://arxiv.org/abs/2106.02607v1

    • [eess.AS]Approximate Fixed-Points in Recurrent Neural Networks
    Zhengxiong Wang, Anton Ragni
    http://arxiv.org/abs/2106.02417v1

    • [eess.AS]Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
    Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee, Seong-Whan Lee
    http://arxiv.org/abs/2106.02297v1

    • [eess.AS]Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
    Keitaro Tanaka, Shusuke Takahashi
    http://arxiv.org/abs/2106.02331v1

    • [eess.AS]Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition
    Zhong Meng, Yu Wu, Naoyuki Kanda, Liang Lu, Xie Chen, Guoli Ye, Eric Sun, Jinyu Li, Yifan Gong
    http://arxiv.org/abs/2106.02302v1

    • [eess.AS]Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation
    Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko, Laureano Moro-Velazquez, Najim Dehak
    http://arxiv.org/abs/2106.02170v1

    • [eess.AS]Teaching keyword spotters to spot new keywords with limited examples
    Abhijeet Awasthi, Kevin Kilgour, Hassan Rom
    http://arxiv.org/abs/2106.02443v1

    • [eess.IV]CNNs and GANs in MRI-based cross-modality medical image estimation
    Azin Shokraei Fard, David C. Reutens, Viktor Vegh
    http://arxiv.org/abs/2106.02198v1

    • [eess.IV]Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
    Zhe Min, Fernando J. Bianco, Qianye Yang, Rachael Rodell, Wen Yan, Dean Barratt, Yipeng Hu
    http://arxiv.org/abs/2106.02385v1

    • [eess.IV]SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
    Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh, Bradley J. Erickson
    http://arxiv.org/abs/2106.02599v1

    • [eess.IV]Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge
    Lauren Jimenez-Martin, Daniel A. Valdés Pérez, Ana M. Solares Asteasuainzarra, Ludwig Leonard, Marta L. Baguer Díaz-Romañach
    http://arxiv.org/abs/2106.02221v1

    • [eess.SP]Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?
    Aleksandar Miladinović, Miloš Ajčević, Giulia Siveri, Laura Liguori, Lorenzo Pascazio, Agostino Accardo
    http://arxiv.org/abs/2106.02392v1

    • [eess.SP]COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
    Ilia Kamyshev, Dmitrii Kriukov, Elena Gryazina
    http://arxiv.org/abs/2106.02352v1

    • [eess.SY]A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage
    Mathilde D. Badoual, Scott J. Moura
    http://arxiv.org/abs/2106.02396v1

    • [eess.SY]A guidance and maneuvering control system design with anti-collision using stream functions with vortex flows for autonomous marine vessels
    Hongyu Zhou, Zhengru Ren, Mathias Marley, Roger Skjetne
    http://arxiv.org/abs/2106.02405v1

    • [eess.SY]Intelligent Transportation Systems to Mitigate Road Traffic Congestion
    Nizar Hamadeh, Ali Karouni, Zeinab Farhat, Hussein El Ghor, Mohamad El Ghor, Israa Katea
    http://arxiv.org/abs/2106.02315v1

    • [math.CA]The sine kernel, two corresponding operator identities, and random matrices
    Lev Sakhnovich
    http://arxiv.org/abs/2106.02389v1

    • [math.CO]Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics
    Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhoň, Zoltán Vidnyánszky
    http://arxiv.org/abs/2106.02066v1

    • [math.OC]Learning Hard Optimization Problems: A Data Generation Perspective
    James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
    http://arxiv.org/abs/2106.02601v1

    • [math.PR]Efficient 今日学术视野(2021.6.8) - 图11 synchronization on 今日学术视野(2021.6.8) - 图12 under symmetry-preserving side information
    Ahmed El Alaoui
    http://arxiv.org/abs/2106.02111v1

    • [math.ST]Matrix completion with data-dependent missingness probabilities
    Sohom Bhattacharya, Sourav Chatterjee
    http://arxiv.org/abs/2106.02290v1

    • [math.ST]On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift
    Maya Ramchandran, Rajarshi Mukherjee
    http://arxiv.org/abs/2106.02589v1

    • [physics.chem-ph]SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
    Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
    http://arxiv.org/abs/2106.02347v1

    • [physics.plasm-ph]Neural Network Surrogate Models for Absorptivity and Emissivity Spectra of Multiple Elements
    Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
    http://arxiv.org/abs/2106.02528v1

    • [q-bio.NC]Extreme sparsity gives rise to functional specialization
    Gabriel Béna, Dan F. M. Goodman
    http://arxiv.org/abs/2106.02626v1

    • [q-fin.ST]Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio
    Taras Bodnar, Nestor Parolya, Erik Thorsen
    http://arxiv.org/abs/2106.02131v1

    • [q-fin.ST]Price graphs: Utilizing the structural information of financial time series for stock prediction
    Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
    http://arxiv.org/abs/2106.02522v1

    • [quant-ph]Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
    Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri
    http://arxiv.org/abs/2106.02496v1

    • [stat.AP]Estimating parking occupancy using smart meter transaction data
    Daniel Jordon, Robert Hampshire, Tayo Fabusuyi
    http://arxiv.org/abs/2106.02270v1

    • [stat.CO]varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models
    Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
    http://arxiv.org/abs/2106.02364v1

    • [stat.ME]Automated calibration for stability selection in penalised regression and graphical models: a multi-OMICs network application exploring the molecular response to tobacco smoking
    Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nost, Julien Chiquet, Marc Chadeau-Hyam
    http://arxiv.org/abs/2106.02521v1

    • [stat.ME]Bayesian inference on high-dimensional multivariate binary data
    Antik Chakraborty, Rihui Ou, David B. Dunson
    http://arxiv.org/abs/2106.02127v1

    • [stat.ME]Distributed nonparametric regression imputation for missing response problems with large-scale data
    Ruoyu Wang, Miaomiao Su, Qihua Wang
    http://arxiv.org/abs/2106.02475v1

    • [stat.ME]Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
    Christina Nießl, Moritz Herrmann, Chiara Wiedemann, Giuseppe Casalicchio, Anne-Laure Boulesteix
    http://arxiv.org/abs/2106.02447v1

    • [stat.ME]Power of Mediation Effects Using Bootstrap Resampling
    Jason Steffener
    http://arxiv.org/abs/2106.02482v1

    • [stat.ME]Spatially relaxed inference on high-dimensional linear models
    Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Bertrand Thirion, Joseph Salmon
    http://arxiv.org/abs/2106.02590v1

    • [stat.ML]Bandit Phase Retrieval
    Tor Lattimore, Botao Hao
    http://arxiv.org/abs/2106.01660v2

    • [stat.ML]Beyond Target Networks: Improving Deep 今日学术视野(2021.6.8) - 图13-learning with Functional Regularization
    Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
    http://arxiv.org/abs/2106.02613v1

    • [stat.ML]Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes
    Elvis Dohmatob
    http://arxiv.org/abs/2106.02630v1

    • [stat.ML]Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakh
    d16
    ri Karray, Mark Crowley
    http://arxiv.org/abs/2106.02154v1

    • [stat.ML]Out-of-Distribution Generalization in Kernel Regression
    Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
    http://arxiv.org/abs/2106.02261v1

    • [stat.ML]PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
    Marco Mondelli, Ramji Venkataramanan
    http://arxiv.org/abs/2106.02356v1

    • [stat.ML]Provably Strict Generalisation Benefit for Invariance in Kernel Methods
    Bryn Elesedy
    http://arxiv.org/abs/2106.02346v1