今日学术视野(2021.6.16)

astro-ph.HE - 高能天体物理现象
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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
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.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
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.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.med-ph - 医学物理学
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
q-bio.GN - 基因组学
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
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

• [astro-ph.HE]Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
• [cs.AI]A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs
• [cs.AI]A New Formalism, Method and Open Issues for Zero-Shot Coordination
• [cs.AI]A Recipe for Social Media Analysis
• [cs.AI]A new soft computing method for integration of expert’s knowledge in reinforcement learn-ing problems
• [cs.AI]BIOPAK Flasher: Epidemic disease monitoring and detection in Pakistan using text mining
• [cs.AI]Certification of embedded systems based on Machine Learning: A survey
• [cs.AI]Characterizing the Gap Between Actor-Critic and Policy Gradient
• [cs.AI]Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures
• [cs.AI]Entropy-based Logic Explanations of Neural Networks
• [cs.AI]Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data
• [cs.AI]Learning Intrusion Prevention Policies through Optimal Stopping
• [cs.AI]Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning
• [cs.AI]Learning-Aided Heuristics Design for Storage System
• [cs.AI]Model Explainability in Deep Learning Based Natural Language Processing
• [cs.AI]Modeling Object Recognition in Newborn Chicks using Deep Neural Networks
• [cs.AI]Multi-Context Systems: Dynamics and Evolution (Pre-Print of “Multi-context systems in dynamic environments”)
• [cs.AI]Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph
• [cs.AI]Planning Spatial Networks
• [cs.AI]Pre-Trained Models: Past, Present and Future
• [cs.AI]Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening
• [cs.AI]RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System
• [cs.AI]Solving Graph-based Public Good Games with Tree Search and Imitation Learning
• [cs.CL]A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
• [cs.CL]A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
• [cs.CL]An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
• [cs.CL]Assessing Multilingual Fairness in Pre-trained Multimodal Representations
• [cs.CL]Automatic Document Sketching: Generating Drafts from Analogous Texts
• [cs.CL]Biomedical Entity Linking via Contrastive Context Matching
• [cs.CL]Can Transformer Language Models Predict Psychometric Properties?
• [cs.CL]Cascaded Span Extraction and Response Generation for Document-Grounded Dialog
• [cs.CL]Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
• [cs.CL]Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
• [cs.CL]Cross-sentence Neural Language Models for Conversational Speech Recognition
• [cs.CL]Determinantal Beam Search
• [cs.CL]Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR
• [cs.CL]Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
• [cs.CL]End-to-end Neural Diarization: From Transformer to Conformer
• [cs.CL]English to Bangla Machine Translation Using Recurrent Neural Network
• [cs.CL]Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
• [cs.CL]Evaluating Various Tokenizers for Arabic Text Classification
• [cs.CL]Every Bite Is an Experience: Key Point Analysis of Business Reviews
• [cs.CL]Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
• [cs.CL]Exploiting Parallel Corpora to Improve Multilingual Embedding based Document and Sentence Alignment
• [cs.CL]GPT3-to-plan: Extracting plans from text using GPT-3
• [cs.CL]GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
• [cs.CL]Grammar Equations
• [cs.CL]Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
• [cs.CL]HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
• [cs.CL]Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring
• [cs.CL]Incorporating External POS Tagger for Punctuation Restoration
• [cs.CL]InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
• [cs.CL]Is Einstein more agreeable and less neurotic than Hitler? A computational exploration of the emotional and personality profiles of historical persons
• [cs.CL]Machine Translation into Low-resource Language Varieties
• [cs.CL]Memory-efficient Transformers via Top- Attention
• [cs.CL]Mitigating Biases in Toxic Language Detection through Invariant Rationalization
• [cs.CL]Modeling Language Usage and Listener Engagement in Podcasts
• [cs.CL]Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
• [cs.CL]Neural Combinatory Constituency Parsing
• [cs.CL]Predicting the Ordering of Characters in Japanese Historical Documents
• [cs.CL]Probing Pre-Trained Language Models for Disease Knowledge
• [cs.CL]Prompting Contrastive Explanations for Commonsense Reasoning Tasks
• [cs.CL]SAS: Self-Augmented Strategy for Language Model Pre-training
• [cs.CL]SASICM A Multi-Task Benchmark For Subtext Recognition
• [cs.CL]Schema-Guided Paradigm for Zero-Shot Dialog
• [cs.CL]Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification-Based LSTM Model
• [cs.CL]Shape of Elephant: Study of Macro Properties of Word Embedd
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ings Spaces
• [cs.CL]Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
• [cs.CL]Study of sampling methods in sentiment analysis of imbalanced data
• [cs.CL]Toward Diverse Precondition Generation
• [cs.CL]Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
• [cs.CR]A Novel Variable K-Pseudonym Scheme Applied to 5G Anonymous Access Authentication
• [cs.CR]FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
• [cs.CR]On the Trust and Trust Modelling for the Future Fully-Connected Digital World: A Comprehensive Study
• [cs.CR]RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
• [cs.CR]Security Analysis of Camera-LiDAR Semantic-Level Fusion Against Black-Box Attacks on Autonomous Vehicles
• [cs.CR]Understanding the Interplay between Privacy and Robustness in Federated Learning
• [cs.CV]1st Place Solution for YouTubeVOS Challenge 2021:Video Instance Segmentation
• [cs.CV]2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021
• [cs.CV]3rd Place Solution for Short-video Face Parsing Challenge
• [cs.CV]A Multi-Implicit Neural Representation for Fonts
• [cs.CV]A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection
• [cs.CV]A Stronger Baseline for Ego-Centric Action Detection
• [cs.CV]A baseline for semi-supervised learning of efficient semantic segmentation models
• [cs.CV]An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
• [cs.CV]Attention-based Domain Adaptation for Single Stage Detectors
• [cs.CV]Automated Parking Space Detection Using Convolutional Neural Networks
• [cs.CV]Automatically eliminating seam lines with Poisson editing in complex relative radiometric normalization mosaicking scenarios
• [cs.CV]Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery
• [cs.CV]Comparing vector fields across surfaces: interest for characterizing the orientations of cortical folds
• [cs.CV]Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
• [cs.CV]Context-Aware Image Inpainting with Learned Semantic Priors
• [cs.CV]Contrastive Attention for Automatic Chest X-ray Report Generation
• [cs.CV]Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
• [cs.CV]Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
• [cs.CV]DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
• [cs.CV]Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
• [cs.CV]Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
• [cs.CV]Deterministic Guided LiDAR Depth Map Completion
• [cs.CV]Dilated filters for edge detection algorithms
• [cs.CV]Discerning the painter’s hand: machine learning on surface topography
• [cs.CV]Disrupting Model Training with Adversarial Shortcuts
• [cs.CV]Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
• [cs.CV]Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
• [cs.CV]DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
• [cs.CV]Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
• [cs.CV]Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
• [cs.CV]Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
• [cs.CV]Go Small and Similar: A Simple Output Decay Brings Better Performance
• [cs.CV]Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution
• [cs.CV]Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
• [cs.CV]HistoTransfer: Understanding Transfer Learning for Histopathology
• [cs.CV]Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
• [cs.CV]Improved Transformer for High-Resolution GANs
• [cs.CV]Inverting Adversarially Robust Networks for Image Synthesis
• [cs.CV]Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?
• [cs.CV]Large-Scale Unsupervised Object Discovery
• [cs.CV]Magic Layouts: Structural Prior for Component Detection in User Interface Designs
• [cs.CV]Mirror3D: Depth Refinement for Mirror Surfaces
• [cs.CV]More Real than Real: A Study on Human Visual Perception of Synthetic Faces
• [cs.CV]Multi-level Attention Fusion Network for Audio-visual Event Recognition
• [cs.CV]Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
• [cs.CV]NDPNet: A novel non-linear data projection network for few-shot fine-gained image classification
• [cs.CV]Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
• [cs.CV]On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
• [cs.CV]Over-Fit: Noisy-Label Detection based on the Overfitted Model Property
• [cs.CV]Partial success in closing the gap between human and machine vision
• [cs.CV]Pixel Sampling for Style Preserving Face Pose Editing
• [cs.CV]PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars
• [cs.CV]Quality-Aware Network for Face Parsing
• [cs.CV]Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
• [cs.CV]Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
• [cs.CV]Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
• [cs.CV]Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
• [cs.CV]S-MLP: Spatial-Shift MLP Architecture for Vision
• [cs.CV]SGE net: Video object detection with squeezed GRU and information entropy map
• [cs.CV]Sejong Face Database: A Multi-Modal Disguise Face Database
• [cs.CV]Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
• [cs.CV]Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
• [cs.CV]Siamese Network Training Using Sampled Triplets and Image Transformation
• [cs.CV]SinIR: Efficient General Image Manipulation with Single Image Reconstruction
• [cs.CV]Sparse PointPillars: Exploiting Sparsity in Birds-Eye-View Object Detection
• [cs.CV]Structure-Regularized Attention for Deformable Object Representation
• [cs.CV]Styleformer: Transformer based Generative Adversarial Networks with Style Vector
• [cs.CV]Survey: Image Mixing and Deleting for Data Augmentation
• [cs.CV]The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
• [cs.CV]TimeLens: Event-based Video Frame Interpolation
• [cs.CV]Toward Automatic Interpretation of 3D Plots
• [cs.CV]Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
• [cs.CV]User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
• [cs.CV]Variational Quanvolutional Neural Networks with enhanced image encoding
• [cs.CV]Video Super-Resolution Transformer
• [cs.CV]Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
• [cs.CY]Amplifying Privacy: Scaling Up Transparency Research Through Delegated Access Requests
• [cs.CY]Examining Passenger Vehicle Miles Traveled and Carbon Emissions in the Boston Metropolitan Area
• [cs.DB]GitTables: A Large-Scale Corpus of Relational Tables
• [cs.DC]COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling
• [cs.DC]ETICA: Efficient Two-Level I/O Caching Architecture for Virtualized Platforms
• [cs.DC]Efficient and Less Centralized Federated Learning
• [cs.DC]Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling
• [cs.DC]Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints
• [cs.DC]Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data
• [cs.DC]Stochastic modelling of blockchain consensus
• [cs.DS]Coresets for constrained k-median and k-means clustering in low dimensional Euclidean space
• [cs.DS]FPT Approximation for Socially Fair Clustering
• [cs.HC]Communication is the universal solvent: atreya bot — an interactive bot for chemical scientists
• [cs.HC]INADVERT: An Interactive and Adaptive Counterdeception Platform for Attention Enhancement and Phishing Prevention
• [cs.HC]Metrics for 3D Object Pointing and Manipulation in Virtual Reality
• [cs.IR]AutoLoss: Automated Loss Function Search in Recommendations
• [cs.IR]Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top- Recommendation
• [cs.IR]Deep Reinforcement Learning based Group Recommender System
• [cs.IR]Efficient Data-specific Model Search for Collaborative Filtering
• [cs.IR]Engineering Knowledge Graph from Patent Database
• [cs.IR]Exploiting Sentence-Level Representations for Passage Ranking
• [cs.IT]Accumulative Iterative Codes Based on Feedback
• [cs.IT]Age of Information for Multiple-Source Multiple-Server Networks
• [cs.IT]Analysis of Large Scale Aerial Terrestrial Networks with mmWave Backhauling
• [cs.IT]Capacity of Gaussian Arbitrarily-Varying Fading Channels
• [cs.IT]Convex Sparse Blind Deconvolution
• [cs.IT]Effects of Eavesdropper on the Performance of Mixed η-μ and DGG Cooperative Relaying System
• [cs.IT]Entropy-Based Proofs of Combinatorial Results on Bipartite Graphs
• [cs.IT]Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions
• [cs.IT]Latency-Constrained Prediction of mmWave/THz Link Blockages through Meta-Learning
• [cs.IT]Multi-User Communication with Extremely Large-Scale MIMO
• [cs.IT]On D2D Caching with Uncoded Cache Placement
• [cs.IT]Probabilistic Group Testing with a Linear Number of Tests
• [cs.IT]Self-orthogonal codes over a non-unital ring and combinatorial matrices
• [cs.IT]Spatially Scalable Lossy Coded Caching
• [cs.IT]Study of Joint Activity Detection and Channel Estimation Based on Message Passing with RBP Scheduling for MTC
• [cs.LG]A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
• [cs.LG]A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
• [cs.LG]A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
• [cs.LG]A Minimalist Approach to Offline Reinforcement Learning
• [cs.LG]A Self-Supervised Framework for Function Learning and Extrapolation
• [cs.LG]A Shuffling Framework for Local Differential Privacy
• [cs.LG]ATRAS: Adversarially Trained Robust Architecture Search
• [cs.LG]Adaptive Dynamic Pruning for Non-IID Federated Learning
• [cs.LG]Adversarial Robustness via Fisher-Rao Regularization
• [cs.LG]An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture
• [cs.LG]Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
• [cs.LG]Atlas Based Representation and Metric Learning on Manifolds
• [cs.LG]AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
• [cs.LG]Automated Machine Learning Techniques for Data Streams
• [cs.LG]Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
• [cs.LG]Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy
• [cs.LG]Bellman-consistent Pessimism for Offline Reinforcement Learning
• [cs.LG]Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations
• [cs.LG]BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
• [cs.LG]Boosting Randomized Smoothing with Variance Reduced Classifiers
• [cs.LG]Break-It-Fix-It: Unsupervised Learning for Program Repair
• [cs.LG]Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
• [cs.LG]CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning
• [cs.LG]Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
• [cs.LG]Category Theory in Machine Learning
• [cs.LG]Characterizing the risk of fairwashing
• [cs.LG]Constraining Linear-chain CRFs to Regular Languages
• [cs.LG]Correcting Exposure Bias for Link Recommendation
• [cs.LG]Corruption-Robust Offline Reinforcement Learning
• [cs.LG]Cross-Subject Domain Adaptation for Multi-Frame EEG Images
• [cs.LG]Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
• [cs.LG]D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
• [cs.LG]DAGs with No Curl: An Efficient DAG Structure Learning Approach
• [cs.LG]DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning
• [cs.LG]Decentralized Personalized Federated Min-Max Problems
• [cs.LG]Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent
• [cs.LG]Deep Bayesian Unsupervised Lifelong Learning
• [cs.LG]Discovering Interpretable Machine Learning Models in Parallel Coordinates
• [cs.LG]Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation
• [cs.LG]Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
• [cs.LG]Dynamic Gradient Aggregation for Federated Domain Adaptation
• [cs.LG]Examining and Combating Spurious Features under Distribution Shift
• [cs.LG]Fair Clustering Under a Bounded Cost
• [cs.LG]FairCanary: Rapid Continuous Explainable Fairness
• [cs.LG]Federated Learning on Non-IID Data: A Survey
• [cs.LG]Federated Learning with Buffered Asynchronous Aggregation
• [cs.LG]Federated Learning with Spiking Neural Networks
• [cs.LG]Federated Myopic Community Detection with One-shot Communication
• [cs.LG]Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation
• [cs.LG]Full interpretable machine learning in 2D with inline coordinates
• [cs.LG]Game of GANs: Game Theoretical Models for Generative Adversarial Networks
• [cs.LG]Goal-Aware Neural SAT Solver
• [cs.LG]Graph Domain Adaptation: A Generative View
• [cs.LG]Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
• [cs.LG]Graph Optimal Transport with Transition Couplings of Random Walks
• [cs.LG]Guaranteed Fixed-Confidence Best Arm Identification in Multi-Armed Bandit
• [cs.LG]Harmonization with Flow-based Causal Inference
• [cs.LG]Hierarchically Regularized Deep Forecasting
• [cs.LG]Improving Metric Dimensionality Reduction with Distributed Topology
• [cs.LG]Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
• [cs.LG]Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
• [cs.LG]Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
• [cs.LG]Knowledge Consolidation based Class Incremental Online Learning with Limited Data
• [cs.LG]Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective
• [cs.LG]Learngene: From Open-World to Your Learning Task
• [cs.LG]Learning to Combine Per-Example Solutions for Neural Program Synthesis
• [cs.LG]Low-memory stochastic backpropagation with multi-channel randomized trace estimation
• [cs.LG]MLPerf Tiny Benchmark
• [cs.LG]Markov Decision Processes with Long-Term Average Constraints
• [cs.LG]Markov Neural Operators for Learning Chaotic Systems
• [cs.LG]Model-free Reinforcement Learning for Branching Markov Decision Processes
• [cs.LG]Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
• [cs.LG]Node Classification Meets Link Prediction on Knowledge Graphs
• [cs.LG]Non Gaussian Denoising Diffusion Models
• [cs.LG]Non-Transferable Learning: A New Approach for Model Verification and Authorization
• [cs.LG]On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
• [cs.LG]Online Learning of Competitive Equilibria in Exchange Economies
• [cs.LG]Online Learning with Optimism and Delay
• [cs.LG]Online Sub-Sampling for Reinforcement Learning with General Function Approximation
• [cs.LG]Optimal Counterfactual Explanations in Tree Ensembles
• [cs.LG]PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
• [cs.LG]Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
• [cs.LG]Piecewise-constant Neural ODEs
• [cs.LG]PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
• [cs.LG]Post-hoc loss-calibration for Bayesian neural networks
• [cs.LG]Precise characterization of the prior predictive distribution of deep ReLU networks
• [cs.LG]Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
• [cs.LG]Quantifying the Conceptual Error in Dimensionality Reduction
• [cs.LG]RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation
• [cs.LG]RRULES: An improvement of the RULES rule-based classifier
• [cs.LG]Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
• [cs.LG]Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
• [cs.LG]Relaxing Local Robustness
• [cs.LG]Relearning ensemble selection based on new generated features
• [cs.LG]Robust Representation Learning via Perceptual Similarity Metrics
• [cs.LG]SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
• [cs.LG]Scalars are universal: Gauge-equivariant machine learning, structured like classical physics
• [cs.LG]Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent
• [cs.LG]Semi-verified Learning from the Crowd with Pairwise Comparisons
• [cs.LG]Short-term forecasting of global solar irradiance with incomplete data
• [cs.LG]Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations
• [cs.LG]Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
• [cs.LG]Temporal Predictive Coding For Model-Based Planning In Latent Space
• [cs.LG]The DEformer: An Order-Agnostic Distribution Estimating Transformer
• [cs.LG]Thinking Like Transformers
• [cs.LG]Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
• [cs.LG]Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win
• [cs.LG]Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services
• [cs.LG]Training Graph Neural Networks with 1000 Layers
• [cs.LG]Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field
• [cs.LG]Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
• [cs.LG]Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
• [cs.LG]Unsupervised Learning of Visual 3D Keypoints for Control
• [cs.LG]Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
• [cs.LG]Weakly-supervised Graph Meta-learning for Few-shot Node Classification
• [cs.LG]What can linearized neural networks actually say about generalization?
• [cs.LG]Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
• [cs.LG]Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
• [cs.LG]Zero-Cost Proxies Meet Differentiable Architecture Search
• [cs.LG]iNNformant: Boundary Samples as Telltale Watermarks
• [cs.LG]pix2rule: End-to-end Neuro-symbolic Rule Learning
• [cs.MA]A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
• [cs.MM]Deep Learning for Reversible Steganography: Principles and Insights
• [cs.NE]Affine OneMax
• [cs.NE]Energy-efficient Knowledge Distillation for Spiking Neural Networks
• [cs.NE]Evolutionary Robust Clustering Over Time for Temporal Data
• [cs.NE]Linear representation of categorical values
• [cs.NE]Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
• [cs.NE]Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
• [cs.NE]The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
• [cs.NI]Active Learning for Network Traffic Classification: A Technical Survey
• [cs.NI]Cox Models for Vehicular Networks: SIR Performance and Equivalence
• [cs.RO]A Data-Driven Approach for Contact Detection, Classification and Reaction in Physical Human-Robot Collaboration
• [cs.RO]A Mixed-Integer Linear Programming Formulation for Human Multi-Robot Task Allocation
• [cs.RO]Deploying COTS Legged Robot Platforms into a Heterogeneous Robot Team
• [cs.RO]Dynamic Based Estimator for UAVs with Real-time Identification Using DNN and the Modified Relay Feedback Test
• [cs.RO]Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles
• [cs.RO]Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
• [cs.RO]Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly
• [cs.RO]Inexact Loops in Robotics Problems
• [cs.RO]Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method
• [cs.RO]Multi-modal Scene-compliant User Intention Estimation for Navigation
• [cs.RO]Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons
• [cs.RO]Transition Motion Planning for Multi-Limbed Vertical Climbing Robots Using Complementarity Constraints
• [cs.RO]Underwater Soft Robotic Hand with Multi-Source Coupling Bio-Inspired Soft Palm and Six Fingers Driven by Water Hydraulic
• [cs.RO]Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions
• [cs.RO]Verified Synthesis of Optimal Safety Controllers for Human-Robot Collaboration
• [cs.SD]A Novel mapping for visual to auditory sensory substitution
• [cs.SD]Audio Attacks and Defenses against AED Systems — A Practical Study
• [cs.SD]CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
• [cs.SD]Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis
• [cs.SD]FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
• [cs.SD]GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
• [cs.SD]SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform
• [cs.SE]Data Science Methodologies: Current Challenges and Future Approaches
• [cs.SI]Allocating Stimulus Checks in Times of Crisis
• [cs.SI]Both Rates of Fake News and Fact-based News on Twitter Negatively Correlate with the State-level COVID-19 Vaccine Uptake
• [cs.SI]Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media
• [cs.SI]Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
• [cs.SI]Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People’s Republic of China
• [cs.SI]Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
• [eess.AS]Improving weakly supervised sound event detection with self-supervised auxiliary tasks
• [eess.AS]WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
• [eess.IV]An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19
• [eess.IV]CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning
• [eess.IV]DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis
• [eess.IV]Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
• [eess.IV]Evaluating Foveated Video Quality Using Entropic Differencing
• [eess.IV]Feedback Pyramid Attention Networks for Single Image Super-Resolution
• [eess.IV]Hippocampus segmentation in magnetic resonance images of Alzheimer’s patients using Deep machine learning
• [eess.IV]LE-NAS: Learning-based Ensenble with NAS for Dose Prediction
• [eess.IV]Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos
• [eess.IV]MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
• [eess.IV]NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
• [eess.IV]Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
• [eess.IV]Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution
• [eess.IV]Rapid COVID-19 Risk Screening by Eye-region Manifestations
• [eess.IV]Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
• [eess.IV]Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
• [eess.IV]Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
• [eess.SP]Design and Experimental Assessment of Detection Schemes for Air Interface Attacks in Adverse Scenarios
• [eess.SP]Signal processing on simplicial complexes
• [eess.SY]A scalable multi-step least squares method for network identification with unknown disturbance topology
• [eess.SY]Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
• [math.NA]Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries
• [math.NA]MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
• [math.NA]On the Representation of Solutions to Elliptic PDEs in Barron Spaces
• [math.OC]Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
• [math.OC]Decentralized Inertial Best-Response with Voluntary and Limited Communication in Random Communication Networks
• [math.OC]Distributionally Robust Optimization with Markovian Data
• [math.OC]Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
• [math.OC]Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem
• [math.OC]NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
• [math.OC]Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
• [math.PR]A Cluster Model for Growth of Random Trees
• [math.PR]Distributionally Robust Martingale Optimal Transport
• [math.ST]A Large Deviation Approach to Posterior Consistency in Dynamical Systems
• [math.ST]Dependency in DAG models with Hidden Variables
• [math.ST]Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
• [math.ST]Inferring the mixing properties of an ergodic process
• [math.ST]On an Asymptotic Distribution for the MLE
• [math.ST]Optimal detection of the feature matching map in presence of noise and outliers
• [math.ST]Outlier detection in multivariate functional data through a contaminated mixture model
• [physics.comp-ph]Machine Learning Implicit Solvation for Molecular Dynamics
• [physics.med-ph]No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry
• [physics.soc-ph]Optimal transport in multilayer networks
• [q-bio.BM]Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization
• [q-bio.GN]GPA-Tree: Statistical Approach for Functional-Annotation-Tree-Guided Prioritization of GWAS Results
• [q-bio.NC]Predicting the imagined contents using brain activation
• [q-bio.QM]A novel fully 3D, microfluidic-oriented, gel-based and low cost stretchable soft sensor
• [q-fin.ST]A News-based Machine Learning Model for Adaptive Asset Pricing
• [quant-ph]Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing
• [quant-ph]Quantum diffusion map for nonlinear dimensionality reduction
• [stat.AP]Analysis of historical data leveraging the sandpile model of self-organized criticality demonstrates the efficacy of prescribed burns in reducing risk of destructive wildfires
• [stat.AP]Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
• [stat.AP]Cross-replication Reliability — An Empirical Approach to Interpreting Inter-rater Reliability
• [stat.AP]High-resolution population estimation using household survey data and building footprints
• [stat.AP]Inference with generalizable classifier predictions
• [stat.AP]Modeling satellite-based open water fraction via flexible Beta regression: An application to wetlands in the north-western Pacific coast of Mexico
• [stat.AP]Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
• [stat.CO]Improving Bridge estimators via -GAN
• [stat.ME]A Phylogenetic Trees Analysis of SARS-CoV-2
• [stat.ME]A test for partial correlation between repeatedly observed nonstationary nonlinear timeseries
• [stat.ME]Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
• [stat.ME]Bahadur efficiency of EDF based normality tests when parameters are estimated
• [stat.ME]Fused inverse-normal method for integrated differential expression analysis of RNA-seq data
• [stat.ME]Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies
• [stat.ME]Quasi-Maximum Likelihood based Model Selection Procedures for Binary Outcomes
• [stat.ME]Regression inference for multiple populations by integrating summary-level data using stacked imputations
• [stat.ME]Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
• [stat.ME]Statistical Analysis from the Fourier Integral Theorem
• [stat.ML]A Wasserstein Minimax Framework for Mixed Linear Regression
• [stat.ML]Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
• [stat.ML]Last Layer Marginal Likelihood for Invariance Learning
• [stat.ML]Machine Learning for Variance Reduction in Online Experiments
• [stat.ML]Marginalising over Stationary Kernels with Bayesian Quadrature
• [stat.ML]Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
• [stat.ML]On the Sample Complexity of Learning with Geometric Stability
• [stat.ML]Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
• [stat.ML]Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
• [stat.ML]Understanding Deflation Process in Over-parametrized Tensor Decomposition

·····································

• [astro-ph.HE]Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
Nicolò Oreste Pinciroli Vago, Ibrahim A. Hameed, Michael Kachelriess
http://arxiv.org/abs/2106.06718v1

• [cs.AI]A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs
Sébastien Lallé, Cristina Conati
http://arxiv.org/abs/2106.07555v1

• [cs.AI]A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob Foerster
http://arxiv.org/abs/2106.06613v1

• [cs.AI]A Recipe for Social Media Analysis
Shahid Alam, Juvariya Khan
http://arxiv.org/abs/2106.07307v1

• [cs.AI]A new soft computing method for integration of expert’s knowledge in reinforcement learn-ing problems
Mohsen Annabestani, Ali Abedi, Mohammad Reza Nematollahi, Mohammad Bagher Naghibi Sis-tani
http://arxiv.org/abs/2106.07088v1

• [cs.AI]BIOPAK Flasher: Epidemic disease monitoring and detection in Pakistan using text mining
Muhammad Nasir, Maheen Bakhtyar, Junaid Baber, Sadia Lakho, Bilal Ahmed, Waheed Noor
http://arxiv.org/abs/2106.06720v1

• [cs.AI]Certification of embedded systems based on Machine Learning: A survey
Guillaume Vidot, Christophe Gabreau, Ileana Ober, Iulian Ober
http://arxiv.org/abs/2106.07221v1

• [cs.AI]Characterizing the Gap Between Actor-Critic and Policy Gradient
Junfeng Wen, Saurabh Kumar, Ramki Gummadi, Dale Schuurmans
http://arxiv.org/abs/2106.06932v1

• [cs.AI]Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures
Renlong Jie, Junbin Gao
http://arxiv.org/abs/2106.07211v1

• [cs.AI]Entropy-based Logic Explanations of Neural Networks
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
http://arxiv.org/abs/2106.06804v1

• [cs.AI]Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data
Jingwei Huang, Wael Khallouli, Ghaith Rabadi, Mamadou Seck
http://arxiv.org/abs/2106.07114v1

• [cs.AI]Learning Intrusion Prevention Policies through Optimal Stopping
Kim Hammar, Rolf Stadler
http://arxiv.org/abs/2106.07160v1

• [cs.AI]Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning
Peng Jin, Min Zhang, Jianwen Li, Li Han, Xuejun Wen
http://arxiv.org/abs/2106.06931v1

• [cs.AI]Learning-Aided Heuristics Design for Storage System
Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
http://arxiv.org/abs/2106.07288v1

• [cs.AI]Model Explainability in Deep Learning Based Natural Language Processing
Shafie Gholizadeh, Nengfeng Zhou
http://arxiv.org/abs/2106.07410v1

• [cs.AI]Modeling Object Recognition in Newborn Chicks using Deep Neural Networks
Donsuk Lee, Denizhan Pak, Justin N. Wood
http://arxiv.org/abs/2106.07185v1

• [cs.AI]Multi-Context Systems: Dynamics and Evolution (Pre-Print of “Multi-context systems in dynamic environments”)
Pedro Cabalar, Stefania Costantini, Giovanni De Gasperis, Andrea Formisano
http://arxiv.org/abs/2106.06780v1

• [cs.AI]Named Entity Normalization Model Using Edge Weight Updating Neural Network: Assimilation Between Knowledge-Driven Graph and Data-Driven Graph
Sung Hwan Jeon, Sungzoon Cho
http://arxiv.org/abs/2106.07549v1

• [cs.AI]Planning Spatial Networks
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
http://arxiv.org/abs/2106.06768v1

• [cs.AI]Pre-Trained Models: Past, Present and Future
Han Xu, Zhang Zhengyan, Ding Ning, Gu Yuxian, Liu Xiao, Huo Yuqi, Qiu Jiezhong, Zhang Liang, Han Wentao, Huang Minlie, Jin Qin, Lan Yanyan, Liu Yang, Liu Zhiyuan, Lu Zhiwu, Qiu Xipeng, Song Ruihua, Tang Jie, Wen Ji-Rong, Yuan Jinhui, Zhao Wayne Xin, Zhu Jun
http://arxiv.org/abs/2106.07139v1

• [cs.AI]Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening
Austin Clyde, Thomas Brettin, Alex Partin, Hyunseung Yoo, Yadu Babuji, Ben Blaiszik, Andre Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens
http://arxiv.org/abs/2106.07036v1

• [cs.AI]RCURRENCY: Live Digital Asset Trading Using a Recurrent Neural Network-based Forecasting System
Yapeng Jasper Hu, Ralph van Gurp, Ashay Somai, Hugo Kooijman, Jan S. Rellermeyer
http://arxiv.org/abs/2106.06972v1

• [cs.AI]Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
http://arxiv.org/abs/2106.06762v1

• [cs.CL]A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang
http://arxiv.org/abs/2106.07174v1

• [cs.CL]A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data
Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee
http://arxiv.org/abs/2106.06738v1

• [cs.CL]An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang
http://arxiv.org/abs/2106.07499v1

• [cs.CL]Assessing Multilingual Fairness in Pre-trained Multimodal Representations
Jialu Wang, Yang Liu, Xin Eric Wang
http://arxiv.org/abs/2106.06683v1

• [cs.CL]Automatic Document Sketching: Generating Drafts from Analogous Texts
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan
http://arxiv.org/abs/2106.07192v1

• [cs.CL]Biomedical Entity Linking via Contrastive Context Matching
Shogo Ujiie, Hayate Iso, Eiji Aramaki
http://arxiv.org/abs/2106.07583v1

• [cs.CL]Can Transformer Language Models Predict Psychometric Properties?
Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato
http://arxiv.org/abs/2106.06849v1

• [cs.CL]Cascaded Span Extraction and Response Generation for Document-Grounded Dialog
Nico Daheim, David Thulke, Christian Dugast, Hermann Ney
http://arxiv.org/abs/2106.07275v1

• [cs.CL]Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren
http://arxiv.org/abs/2106.06937v1

• [cs.CL]Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus
Andargachew Mekonnen Gezmu, Binyam Ephrem Seyoum, Michael Gasser, Andreas Nürnberger
http://arxiv.org/abs/2106.07241v1

• [cs.CL]Cross-sentence Neural Language Models for Conversational Speech Recognition
Shih-Hsuan Chiu, Tien-Hong Lo, Berlin Chen
http://arxiv.org/abs/2106.06922v1

• [cs.CL]Determinantal Beam Search
Clara Meister, Martina Forster, Ryan Cotterell
http://arxiv.org/abs/2106.07400v1

• [cs.CL]Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR
Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang
http://arxiv.org/abs/2106.06636v1

• [cs.CL]Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
Rajat Bhatnagar, Ananya Ganesh, Katharina Kann
http://arxiv.org/abs/2106.06875v1

• [cs.CL]End-to-end Neural Diarization: From Transformer to Conformer
Yi Chieh Liu, Eunjung Han, Chul Lee, Andreas Stolcke
http://arxiv.org/abs/2106.07167v1

• [cs.CL]English to Bangla Machine Translation Using Recurrent Neural Network
Shaykh Siddique, Tahmid Ahmed, Md. Rifayet Azam Talukder, Md. Mohsin Uddin
http://arxiv.org/abs/2106.07225v1

• [cs.CL]Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh
http://arxiv.org/abs/2106.06830v1

• [cs.CL]Evaluating Various Tokenizers for Arabic Text Classification
Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, Irfan Ahmad
http://arxiv.org/abs/2106.07540v1

• [cs.CL]Every Bite Is an Experience: Key Point Analysis of Business Reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim
http://arxiv.org/abs/2106.06758v1

• [cs.CL]Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
http://arxiv.org/abs/2106.06697v1

• [cs.CL]Exploiting Parallel Corpora to Improve Multilingual Embedding based Document and Sentence Alignment
Dilan Sachintha, Lakmali Piyarathna, Charith Rajitha, Surangika Ranathunga
http://arxiv.org/abs/2106.06766v1

• [cs.CL]GPT3-to-plan: Extracting plans from text using GPT-3
Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
http://arxiv.org/abs/2106.07131v1

• [cs.CL]GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot Filling
Shikib Mehri, Maxine Eskenazi
http://arxiv.org/abs/2106.07055v1

• [cs.CL]Grammar Equations
Bob Coecke, Vincent Wang
http://arxiv.org/abs/2106.07485v1

• [cs.CL]Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao
http://arxiv.org/abs/2106.06751v1

• [cs.CL]HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, Abdelrahman Mohamed
http://arxiv.org/abs/2106.07447v1

• [cs.CL]Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring
Linzi Xing, Giuseppe Carenini
http://arxiv.org/abs/2106.06719v1

• [cs.CL]Incorporating External POS Tagger for Punctuation Restoration
Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
http://arxiv.org/abs/2106.06731v1

• [cs.CL]InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
Runshi Liu, Pengda Qin, Yuhong Li, Weigao Wen, Dong Li, Kefeng Deng, Qiang Wu
http://arxiv.org/abs/2106.06905v1

• [cs.CL]Is Einstein more agreeable and less neurotic than Hitler? A computational exploration of the emotional and personality profiles of historical persons
Arthur M. Jacobs, Annette Kinder
http://arxiv.org/abs/2106.07237v1

• [cs.CL]Machine Translation into Low-resource Language Varieties
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov
http://arxiv.org/abs/2106.06797v1

• [cs.CL]Memory-efficient Transformers via Top- Attention
Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant
http://arxiv.org/abs/2106.06899v1

• [cs.CL]Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Yung-Sung Chuang, Mingye Gao, Hongyin Luo, James Glass, Hung-yi Lee, Yun-Nung Chen, Shang-Wen Li
http://arxiv.org/abs/2106.07240v1

• [cs.CL]Modeling Language Usage and Listener Engagement in Podcasts
Sravana Reddy, Marina Lazarova, Yongze Yu, Rosie Jones
http://arxiv.org/abs/2106.06605v1

• [cs.CL]Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer, Dietrich Klakow
http://arxiv.org/abs/2106.07505v1

• [cs.CL]Neural Combinatory Constituency Parsing
Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi
http://arxiv.org/abs/2106.06689v1

• [cs.CL]Predicting the Ordering of Characters in Japanese Historical Documents
Alex Lamb, Tarin Clanuwat, Siyu Han, Mikel Bober-Irizar, Asanobu Kitamoto
http://arxiv.org/abs/2106.06786v1

• [cs.CL]Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert
http://arxiv.org/abs/2106.07285v1

• [cs.CL]Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
http://arxiv.org/abs/2106.06823v1

• [cs.CL]SAS: Self-Augmented Strategy for Language Model Pre-training
Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu
http://arxiv.org/abs/2106.07176v1

• [cs.CL]SASICM A Multi-Task Benchmark For Subtext Recognition
Hua Yan, Weikang Xiao, Feng Han, Jian Zhao, Furao Shen
http://arxiv.org/abs/2106.06944v1

• [cs.CL]Schema-Guided Paradigm for Zero-Shot Dialog
Shikib Mehri, Maxine Eskenazi
http://arxiv.org/abs/2106.07056v1

• [cs.CL]Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification-Based LSTM Model
Arunava Kumar Chakraborty, Sourav Das, Anup Kumar Kolya
http://arxiv.org/abs/2106.06910v1

• [cs.CL]Shape of Elephant: Study of Macro Properties of Word Embedd
51b
ings Spaces
Alexey Tikhonov
http://arxiv.org/abs/2106.06964v1

• [cs.CL]Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
Xiang Lin, Simeng Han, Shafiq Joty
http://arxiv.org/abs/2106.07207v1

• [cs.CL]Study of sampling methods in sentiment analysis of imbalanced data
Zeeshan Ali Sayyed
http://arxiv.org/abs/2106.06673v1

• [cs.CL]Toward Diverse Precondition Generation
Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
http://arxiv.org/abs/2106.07117v1

• [cs.CL]Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
Ting-Rui Chiang, Yun-Nung Chen
http://arxiv.org/abs/2106.07137v1

• [cs.CR]A Novel Variable K-Pseudonym Scheme Applied to 5G Anonymous Access Authentication
Dong Ma, Xixiang Lyu, Renpeng Zou
http://arxiv.org/abs/2106.07158v1

• [cs.CR]FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
Tolulope Odetola, Faiq Khalid, Travis Sandefur, Hawzhin Mohammed, Syed Rafay Hasan
http://arxiv.org/abs/2106.06895v1

• [cs.CR]On the Trust and Trust Modelling for the Future Fully-Connected Digital World: A Comprehensive Study
Hannah Lim Jing Ting, Xin Kang, Tieyan Li, Haiguang Wang, Cheng-Kang Chu
http://arxiv.org/abs/2106.07528v1

• [cs.CR]RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
Shai Cohen, Efrat Levy, Avi Shaked, Tair Cohen, Yuval Elovici, Asaf Shabtai
http://arxiv.org/abs/2106.07074v1

• [cs.CR]Security Analysis of Camera-LiDAR Semantic-Level Fusion Against Black-Box Attacks on Autonomous Vehicles
R. Spencer Hallyburton, Yupei Liu, Miroslav Pajic
http://arxiv.org/abs/2106.07098v1

• [cs.CR]Understanding the Interplay between Privacy and Robustness in Federated Learning
Yaowei Han, Yang Cao, Masatoshi Yoshikawa
http://arxiv.org/abs/2106.07033v1

• [cs.CV]1st Place Solution for YouTubeVOS Challenge 2021:Video Instance Segmentation
Thuy C. Nguyen, Tuan N. Tang, Nam LH. Phan, Chuong H. Nguyen, Masayuki Yamazaki, Masao Yamanaka
http://arxiv.org/abs/2106.06649v1

• [cs.CV]2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021
YiYu, XinyingWang, WeiHu, XunLuo, ChengLi
http://arxiv.org/abs/2106.07166v1

• [cs.CV]3rd Place Solution for Short-video Face Parsing Challenge
Xiao Liu, XiaoFei Si, JiangTao Xie
http://arxiv.org/abs/2106.07409v1

• [cs.CV]A Multi-Implicit Neural Representation for Fonts
Pradyumna Reddy, Zhifei Zhang, Matthew Fisher, Hailin Jin, Zhaowen Wang, Niloy J. Mitra
http://arxiv.org/abs/2106.06866v1

• [cs.CV]A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection
Lingyun Gu, Lin Zhang, Zhaokui Wang
http://arxiv.org/abs/2106.06792v1

• [cs.CV]A Stronger Baseline for Ego-Centric Action Detection
Zhiwu Qing, Ziyuan Huang, Xiang Wang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr, Nong Sang
http://arxiv.org/abs/2106.06942v1

• [cs.CV]A baseline for semi-supervised learning of efficient semantic segmentation models
Ivan Grubišić, Marin Oršić, Siniša Šegvić
http://arxiv.org/abs/2106.07075v1

• [cs.CV]An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
Shaw-Hwa Lo, Yiqiao Yin
http://arxiv.org/abs/2106.06911v1

• [cs.CV]Attention-based Domain Adaptation for Single Stage Detectors
Vidit, Mathieu Salzmann
http://arxiv.org/abs/2106.07283v1

• [cs.CV]Automated Parking Space Detection Using Convolutional Neural Networks
Julien Nyambal, Richard Klein
http://arxiv.org/abs/2106.07228v1

• [cs.CV]Automatically eliminating seam lines with Poisson editing in complex relative radiometric normalization mosaicking scenarios
Shiqi Liu, Jie Lian, Xuchen Zhan, Cong Liu, Yuze Tian, Hongwei Duan
http://arxiv.org/abs/2106.07441v1

• [cs.CV]Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery
Jingwei Song, Qiuchen Zhu, Jianyu Lin, Maani Ghaffari
http://arxiv.org/abs/2106.07136v1

• [cs.CV]Comparing vector fields across surfaces: interest for characterizing the orientations of cortical folds
Amine Bohi, Guillaume Auzias, Julien Lefèvre
http://arxiv.org/abs/2106.07470v1

• [cs.CV]Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
Lukas Bommes, Tobias Pickel, Claudia Buerhop-Lutz, Jens Hauch, Christoph Brabec, Ian Marius Peters
http://arxiv.org/abs/2106.07314v1

• [cs.CV]Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang
http://arxiv.org/abs/2106.07220v1

• [cs.CV]Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
http://arxiv.org/abs/2106.06965v1

• [cs.CV]Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
Prashant Pandey, Ajey Pai, Nisarg Bhatt, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam
http://arxiv.org/abs/2106.06801v1

• [cs.CV]Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min, Qi Dai, Hongtao Xie, Chuang Gan, Yongdong Zhang, Jingdong Wang
http://arxiv.org/abs/2106.06939v1

• [cs.CV]DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu
http://arxiv.org/abs/2106.06716v1

• [cs.CV]Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
Yusuf Brima, Mossadek Hossain Kamal Tushar, Upama Kabir, Tariqul Islam
http://arxiv.org/abs/2106.07333v1

• [cs.CV]Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu
http://arxiv.org/abs/2106.07617v1

• [cs.CV]Deterministic Guided LiDAR Depth Map Completion
Bryan Krauss, Gregory Schroeder, Marko Gustke, Ahmed Hussein
http://arxiv.org/abs/2106.07256v1

• [cs.CV]Dilated filters for edge detection algorithms
Ciprian Orhei, Victor Bogdan, Cosmin Bonchis
http://arxiv.org/abs/2106.07395v1

• [cs.CV]Discerning the painter’s hand: machine learning on surface topography
F. Ji, M. S. McMaster, S. Schwab, G. Singh, L. N. Smith, S. Adhikari, M. O’Dwyer, F. Sayed, A. Ingrisano, D. Yoder, E. S. Bolman, I. T. Martin, M. Hinczewski, K. D. Singer
http://arxiv.org/abs/2106.07134v1

• [cs.CV]Disrupting Model Training with Adversarial Shortcuts
Ivan Evtimov, Ian Covert, Aditya Kusupati, Tadayoshi Kohno
http://arxiv.org/abs/2106.06654v1

• [cs.CV]Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Jaewoong Choi, Changyeon Yoon, Junho Lee, Jung Ho Park, Geonho Hwang, Myungjoo Kang
http://arxiv.org/abs/2106.06959v1

• [cs.CV]Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
http://arxiv.org/abs/2106.06908v1

• [cs.CV]DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
http://arxiv.org/abs/2106.06856v1

• [cs.CV]Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Longqing Ye
http://arxiv.org/abs/2106.06778v1

• [cs.CV]Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou
http://arxiv.org/abs/2106.06963v1

• [cs.CV]Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan Oseledets
http://arxiv.org/abs/2106.07020v1

• [cs.CV]Go Small and Similar: A Simple Output Decay Brings Better Performance
Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu
http://arxiv.org/abs/2106.06726v1

• [cs.CV]Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution
Young-Ju Choi, Young-Woon Lee, Byung-Gyu Kim
http://arxiv.org/abs/2106.07190v1

• [cs.CV]Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
Chih-Ting Liu, Man-Yu Lee, Tsai-Shien Chen, Shao-Yi Chien
http://arxiv.org/abs/2106.07204v1

• [cs.CV]HistoTransfer: Understanding Transfer Learning for Histopathology
Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown
http://arxiv.org/abs/2106.07068v1

• [cs.CV]Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
Yunhao Gao, Wei Li, Mengmeng Zhang, Jianbu Wang, Weiwei Sun, Ran Tao, Qian Du
http://arxiv.org/abs/2106.06896v1

• [cs.CV]Improved Transformer for High-Resolution GANs
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
http://arxiv.org/abs/2106.07631v1

• [cs.CV]Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do, Anh Nguyen
http://arxiv.org/abs/2106.06927v1

• [cs.CV]Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?
Liu Feihong, Yang Junwei, He Xiaowei, Zhou Luping, Feng Jun, Shen Dinggang
http://arxiv.org/abs/2106.06992v1

• [cs.CV]Large-Scale Unsupervised Object Discovery
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
http://arxiv.org/abs/2106.06650v1

• [cs.CV]Magic Layouts: Structural Prior for Component Detection in User Interface Designs
Dipu Manandhar, Hailin Jin, John Collomosse
http://arxiv.org/abs/2106.07615v1

• [cs.CV]Mirror3D: Depth Refinement for Mirror Surfaces
Jiaqi Tan, Weijie Lin, Angel X. Chang, Manolis Savva
http://arxiv.org/abs/2106.06629v1

• [cs.CV]More Real than Real: A Study on Human Visual Perception of Synthetic Faces
Federica Lago, Cecilia Pasquini, Rainer Böhme, Hélène Dumont, Valérie Goffaux, Giulia Boato
http://arxiv.org/abs/2106.07226v1

• [cs.CV]Multi-level Attention Fusion Network for Audio-visual Event Recognition
Mathilde Brousmiche, Jean Rouat, Stéphane Dupont
http://arxiv.org/abs/2106.06736v1

• [cs.CV]Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
Joy Mazumder, Mohsen Zand, Michael Greenspan
http://arxiv.org/abs/2106.06684v1

• [cs.CV]NDPNet: A novel non-linear data projection network for few-shot fine-gained image classification
Weichuan Zhangy, Xuefang Liuy, Zhe Xue, Yongsheng Gao, Changming Sun
http://arxiv.org/abs/2106.06988v1

• [cs.CV]Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas
http://arxiv.org/abs/2106.07159v1

• [cs.CV]On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Radu Grosu
http://arxiv.org/abs/2106.07091v1

• [cs.CV]Over-Fit: Noisy-Label Detection based on the Overfitted Model Property
Seulki Park, Dae Ung Jo, Jin Young Choi
http://arxiv.org/abs/2106.07217v1

• [cs.CV]Partial success in closing the gap between human and machine vision
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
http://arxiv.org/abs/2106.07411v1

• [cs.CV]Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen
http://arxiv.org/abs/2106.07310v1

• [cs.CV]PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars
Qi Chen, Sourabh Vora, Oscar Beijbom
http://arxiv.org/abs/2106.07545v1

• [cs.CV]Quality-Aware Network for Face Parsing
Lu Yang, Qing Song, Xueshi Xin, Zhiwei Liu
http://arxiv.org/abs/2106.07368v1

• [cs.CV]Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
Zhicheng Cai, Kaizhu Huang, Chenglei Peng
http://arxiv.org/abs/2106.07026v1

• [cs.CV]Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments
Sarah Chen, Esther Cao, Anirudh Koul, Siddha Ganju, Satyarth Praveen, Meher Anand Kasam
http://arxiv.org/abs/2106.07113v1

• [cs.CV]Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
Mengmeng Cui, Wei Wang, Jinjin Zhang, Liang Wang
http://arxiv.org/abs/2106.06960v1

• [cs.CV]Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
Satoshi Tsutsui, David Crandall, Chen Yu
http://arxiv.org/abs/2106.06694v1

• [cs.CV]S-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
http://arxiv.org/abs/2106.07477v1

• [cs.CV]SGE net: Video object detection with squeezed GRU and information entropy map
Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu
http://arxiv.org/abs/2106.07224v1

• [cs.CV]Sejong Face Database: A Multi-Modal Disguise Face Database
Usman Cheema, Seungbin Moon
http://arxiv.org/abs/2106.07186v1

• [cs.CV]Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
http://arxiv.org/abs/2106.07141v1

• [cs.CV]Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
Ibrahim Batuhan Akkaya, Fazil Altinel, Ugur Halici
http://arxiv.org/abs/2106.07165v1

• [cs.CV]Siamese Network Training Using Sampled Triplets and Image Transformation
Ammar N. Abbas, David Moser
http://arxiv.org/abs/2106.07015v1

• [cs.CV]SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Jihyeong Yoo, Qifeng Chen
http://arxiv.org/abs/2106.07140v1

• [cs.CV]Sparse PointPillars: Exploiting Sparsity in Birds-Eye-View Object Detection
Kyle Vedder, Eric Eaton
http://arxiv.org/abs/2106.06882v1

• [cs.CV]Structure-Regularized Attention for Deformable Object Representation
Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu
http://arxiv.org/abs/2106.06672v1

• [cs.CV]Styleformer: Transformer based Generative Adversarial Networks with Style Vector
Jeeseung Park, Younggeun Kim
http://arxiv.org/abs/2106.07023v1

• [cs.CV]Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
http://arxiv.org/abs/2106.07085v1

• [cs.CV]The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
Cheng Gu, Erik Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau
http://arxiv.org/abs/2106.06887v1

• [cs.CV]TimeLens: Event-based Video Frame Interpolation
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
http://arxiv.org/abs/2106.07286v1

• [cs.CV]Toward Automatic Interpretation of 3D Plots
Laura E. Brandt, William T. Freeman
http://arxiv.org/abs/2106.07627v1

• [cs.CV]Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Matthew Gadd, Daniele De Martini, Paul Newman
http://arxiv.org/abs/2106.06703v1

• [cs.CV]User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Pei Lv, Jianqi Fan, Xixi Nie, Weiming Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu
http://arxiv.org/abs/2106.07488v1

• [cs.CV]Variational Quanvolutional Neural Networks with enhanced image encoding
Denny Mattern, Darya Martyniuk, Henri Willems, Fabian Bergmann, Adrian Paschke
http://arxiv.org/abs/2106.07327v1

• [cs.CV]Video Super-Resolution Transformer
Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool
http://arxiv.org/abs/2106.06847v1

• [cs.CV]Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras
http://arxiv.org/abs/2106.07049v1

• [cs.CY]Amplifying Privacy: Scaling Up Transparency Research Through Delegated Access Requests
Hadi Asghari, Thomas van Biemen, Martijn Warnier
http://arxiv.org/abs/2106.06844v1

• [cs.CY]Examining Passenger Vehicle Miles Traveled and Carbon Emissions in the Boston Metropolitan Area
Tigran Aslanyan, Shan Jiang
http://arxiv.org/abs/2106.06677v1

• [cs.DB]GitTables: A Large-Scale Corpus of Relational Tables
Madelon Hulsebos, Çağatay Demiralp, Paul Groth
http://arxiv.org/abs/2106.07258v1

• [cs.DC]COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling
Marko Kabić, Simon Pintarelli, Anton Kozhevnikov, Joost VandeVondele
http://arxiv.org/abs/2106.06601v1

• [cs.DC]ETICA: Efficient Two-Level I/O Caching Architecture for Virtualized Platforms
Saba Ahmadian, Reza Salkhordeh, Onur Mutlu, Hossein Asadi
http://arxiv.org/abs/2106.07423v1

• [cs.DC]Efficient and Less Centralized Federated Learning
Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
http://arxiv.org/abs/2106.06627v1

• [cs.DC]Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling
Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zang, Yuwen Qian, Wen Chen
http://arxiv.org/abs/2106.06934v1

• [cs.DC]Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints
Lucas Perotin, Hongyang Sun, Padma Raghavan
http://arxiv.org/abs/2106.07059v1

• [cs.DC]Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data
Xiaodong Yu, Viktor Nikitin, Daniel J. Ching, Selin Aslan, Doga Gursoy, Tekin Bicer
http://arxiv.org/abs/2106.07575v1

• [cs.DC]Stochastic modelling of blockchain consensus
Claudio J. Tessone, Paolo Tasca, Flavio Iannelli
http://arxiv.org/abs/e22
s/2106.06465v1
s/2106.06465v1)

• [cs.DS]Coresets for constrained k-median and k-means clustering in low dimensional Euclidean space
Melanie Schmidt, Julian Wargalla
http://arxiv.org/abs/2106.07319v1

• [cs.DS]FPT Approximation for Socially Fair Clustering
Dishant Goyal, Ragesh Jaiswal
http://arxiv.org/abs/2106.06755v1

• [cs.HC]Communication is the universal solvent: atreya bot — an interactive bot for chemical scientists
Mahak Sharma, Abhishek Kaushik, Rajesh Kumar, Sushant Kumar Rai, Harshada Hanumant Desai, Sargam Yadav
http://arxiv.org/abs/2106.07257v1

• [cs.HC]INADVERT: An Interactive and Adaptive Counterdeception Platform for Attention Enhancement and Phishing Prevention
Linan Huang, Quanyan Zhu
http://arxiv.org/abs/2106.06907v1

• [cs.HC]Metrics for 3D Object Pointing and Manipulation in Virtual Reality
Eleftherios Triantafyllidis, Wenbin Hu, Christopher McGreavy, Zhibin Li
http://arxiv.org/abs/2106.06655v1

• [cs.IR]AutoLoss: Automated Loss Function Search in Recommendations
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
http://arxiv.org/abs/2106.06713v1

• [cs.IR]Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top- Recommendation
Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
http://arxiv.org/abs/2106.06722v1

• [cs.IR]Deep Reinforcement Learning based Group Recommender System
Zefang Liu, Shuran Wen, Yinzhu Quan
http://arxiv.org/abs/2106.06900v1

• [cs.IR]Efficient Data-specific Model Search for Collaborative Filtering
Chen Gao, Quanming Yao, Depeng Jin, Yong Li
http://arxiv.org/abs/2106.07453v1

• [cs.IR]Engineering Knowledge Graph from Patent Database
L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood, Jianxi Luo
http://arxiv.org/abs/2106.06739v1

• [cs.IR]Exploiting Sentence-Level Representations for Passage Ranking
Jurek Leonhardt, Fabian Beringer, Avishek Anand
http://arxiv.org/abs/2106.07316v1

• [cs.IT]Accumulative Iterative Codes Based on Feedback
Alberto G. Perotti, Branislav M. Popovic, Anahid R. Safavi
http://arxiv.org/abs/2106.07415v1

• [cs.IT]Age of Information for Multiple-Source Multiple-Server Networks
Alireza Javani, Marwen Zorgui, Zhiying Wang
http://arxiv.org/abs/2106.07247v1

• [cs.IT]Analysis of Large Scale Aerial Terrestrial Networks with mmWave Backhauling
Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Khlod Alshaikh, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
http://arxiv.org/abs/2106.07000v1

• [cs.IT]Capacity of Gaussian Arbitrarily-Varying Fading Channels
Fatemeh Hosseinigoki, Oliver Kosut
http://arxiv.org/abs/2106.07189v1

• [cs.IT]Convex Sparse Blind Deconvolution
Qingyun Sun, David Donoho
http://arxiv.org/abs/2106.07053v1

• [cs.IT]Effects of Eavesdropper on the Performance of Mixed η-μ and DGG Cooperative Relaying System
Noor Ahmed Sarker, A. S. M. Badrudduza, Milton Kumar Kundu, Imran Shafique Ansari
http://arxiv.org/abs/2106.06951v1

• [cs.IT]Entropy-Based Proofs of Combinatorial Results on Bipartite Graphs
Igal Sason
http://arxiv.org/abs/2106.07336v1

• [cs.IT]Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
http://arxiv.org/abs/2106.07024v1

• [cs.IT]Latency-Constrained Prediction of mmWave/THz Link Blockages through Meta-Learning
Anders E. Kalør, Osvaldo Simeone, Petar Popovski
http://arxiv.org/abs/2106.07442v1

• [cs.IT]Multi-User Communication with Extremely Large-Scale MIMO
Haiquan Lu, Yong Zeng
http://arxiv.org/abs/2106.06901v1

• [cs.IT]On D2D Caching with Uncoded Cache Placement
Çağkan Yapar, Kai Wan, Rafael F. Schaefer, Giuseppe Caire
http://arxiv.org/abs/2106.06635v1

• [cs.IT]Probabilistic Group Testing with a Linear Number of Tests
Larkin Flodin, Arya Mazumdar
http://arxiv.org/abs/2106.06878v1

• [cs.IT]Self-orthogonal codes over a non-unital ring and combinatorial matrices
Minjia Shi, Shukai Wang, Jon-Lark Kim, Patrick Solé
http://arxiv.org/abs/2106.07124v1

• [cs.IT]Spatially Scalable Lossy Coded Caching
Mozhgan Bayat, Çağkan Yapar, Giuseppe Caire
http://arxiv.org/abs/2106.06646v1

• [cs.IT]Study of Joint Activity Detection and Channel Estimation Based on Message Passing with RBP Scheduling for MTC
R. B. Di Renna, R. C. de Lamare
http://arxiv.org/abs/2106.06978v1

• [cs.LG]A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong
http://arxiv.org/abs/2106.07178v1

• [cs.LG]A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto, David Meger, Doina Precup
http://arxiv.org/abs/2106.06854v1

• [cs.LG]A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
http://arxiv.org/abs/2106.06984v1

• [cs.LG]A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang Shane Gu
http://arxiv.org/abs/2106.06860v1

• [cs.LG]A Self-Supervised Framework for Function Learning and Extrapolation
Simon N. Segert, Jonathan D. Cohen
http://arxiv.org/abs/2106.07369v1

• [cs.LG]A Shuffling Framework for Local Differential Privacy
Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha
http://arxiv.org/abs/2106.06603v1

• [cs.LG]ATRAS: Adversarially Trained Robust Architecture Search
Yigit Alparslan, Edward Kim
http://arxiv.org/abs/2106.06917v1

• [cs.LG]Adaptive Dynamic Pruning for Non-IID Federated Learning
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
http://arxiv.org/abs/2106.06921v1

• [cs.LG]Adversarial Robustness via Fisher-Rao Regularization
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
http://arxiv.org/abs/2106.06685v1

• [cs.LG]An Extended Multi-Model Regression Approach for Compressive Strength Prediction and Optimization of a Concrete Mixture
Seyed Arman Taghizadeh Motlagh, Mehran Naghizadehrokni
http://arxiv.org/abs/2106.07034v1

• [cs.LG]Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Anas Barakat, Pascal Bianchi, Julien Lehmann
http://arxiv.org/abs/2106.07472v1

• [cs.LG]Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
http://arxiv.org/abs/2106.07062v1

• [cs.LG]AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
http://arxiv.org/abs/2106.06957v1

• [cs.LG]Automated Machine Learning Techniques for Data Streams
Alexandru-Ionut Imbrea
http://arxiv.org/abs/2106.07317v1

• [cs.LG]Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
http://arxiv.org/abs/2106.07214v1

• [cs.LG]Balanced Coarsening for Multilevel Hypergraph Partitioning via Wasserstein Discrepancy
Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu
http://arxiv.org/abs/2106.07501v1

• [cs.LG]Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie, Ching-An Cheng, Nan Jiang, Paul Mineiro, Alekh Agarwal
http://arxiv.org/abs/2106.06926v1

• [cs.LG]Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations
Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James Foulde, Shimei Pan
http://arxiv.org/abs/2106.07112v1

• [cs.LG]BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang
http://arxiv.org/abs/2106.06991v1

• [cs.LG]Boosting Randomized Smoothing with Variance Reduced Classifiers
Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer, Martin Vechev
http://arxiv.org/abs/2106.06946v1

• [cs.LG]Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga, Percy Liang
http://arxiv.org/abs/2106.06600v1

• [cs.LG]Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
http://arxiv.org/abs/2106.06586v1

• [cs.LG]CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning
Haibo Yang, Jia Liu, Elizabeth S. Bentley
http://arxiv.org/abs/2106.07155v1

• [cs.LG]Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI
Kiana Alikhademi, Brianna Richardson, Emma Drobina, Juan E. Gilbert
http://arxiv.org/abs/2106.07483v1

• [cs.LG]Category Theory in Machine Learning
Dan Shiebler, Bruno Gavranović, Paul Wilson
http://arxiv.org/abs/2106.07032v1

• [cs.LG]Characterizing the risk of fairwashing
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
http://arxiv.org/abs/2106.07504v1

• [cs.LG]Constraining Linear-chain CRFs to Regular Languages
Sean Papay, Roman Klinger, Sebastian Padó
http://arxiv.org/abs/2106.07306v1

• [cs.LG]Correcting Exposure Bias for Link Recommendation
Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
http://arxiv.org/abs/2106.07041v1

• [cs.LG]Corruption-Robust Offline Reinforcement Learning
Xuezhou Zhang, Yiding Chen, Jerry Zhu, Wen Sun
http://arxiv.org/abs/2106.06630v1

• [cs.LG]Cross-Subject Domain Adaptation for Multi-Frame EEG Images
Junfu Chen, Yang Chen, Bi Wang
http://arxiv.org/abs/2106.06769v1

• [cs.LG]Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim, Xiao Fu
http://arxiv.org/abs/2106.07193v1

• [cs.LG]D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
http://arxiv.org/abs/2106.06819v1

• [cs.LG]DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
http://arxiv.org/abs/2106.07197v1

• [cs.LG]DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
http://arxiv.org/abs/2106.07094v1

• [cs.LG]Decentralized Personalized Federated Min-Max Problems
Aleksandr Beznosikov, Vadim Sushko, Abdurakhmon Sadiev, Alexander Gasnikov
http://arxiv.org/abs/2106.07289v1

• [cs.LG]Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent
Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
http://arxiv.org/abs/2106.06749v1

• [cs.LG]Deep Bayesian Unsupervised Lifelong Learning
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer Dy
http://arxiv.org/abs/2106.07035v1

• [cs.LG]Discovering Interpretable Machine Learning Models in Parallel Coordinates
Boris Kovalerchuk, Dustin Hayes
http://arxiv.org/abs/2106.07474v1

• [cs.LG]Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation
Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang
http://arxiv.org/abs/rg/abs/2106.05907v1

• [cs.LG]Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
http://arxiv.org/abs/2106.06596v1

• [cs.LG]Dynamic Gradient Aggregation for Federated Domain Adaptation
Dimitrios Dimitriadis, Kenichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez
http://arxiv.org/abs/2106.07578v1

• [cs.LG]Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
http://arxiv.org/abs/2106.07171v1

• [cs.LG]Fair Clustering Under a Bounded Cost
Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson
http://arxiv.org/abs/2106.07239v1

• [cs.LG]FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh, Aalok Shanbhag
http://arxiv.org/abs/2106.07057v1

• [cs.LG]Federated Learning on Non-IID Data: A Survey
Hangyu Zhu, Shiqing Liu, Yaochu Jin
http://arxiv.org/abs/2106.06843v1

• [cs.LG]Federated Learning with Buffered Asynchronous Aggregation
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek Esmaeili, Dzmitry Huba
http://arxiv.org/abs/2106.06639v1

• [cs.LG]Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
http://arxiv.org/abs/2106.06579v1

• [cs.LG]Federated Myopic Community Detection with One-shot Communication
Chuyang Ke, Jean Honorio
http://arxiv.org/abs/2106.07255v1

• [cs.LG]Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation
Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon
http://arxiv.org/abs/2106.07273v1

• [cs.LG]Full interpretable machine learning in 2D with inline coordinates
Boris Kovalerchuk, Hoang Phan
http://arxiv.org/abs/2106.07568v1

• [cs.LG]Game of GANs: Game Theoretical Models for Generative Adversarial Networks
Monireh Mohebbi Moghadam, Bahar Boroumand, Mohammad Jalali, Arman Zareian, Alireza Daei Javad, Mohammad Hossein Manshaei
http://arxiv.org/abs/2106.06976v1

• [cs.LG]Goal-Aware Neural SAT Solver
Emils Ozolins, Karlis Freivalds, Andis Draguns, Eliza Gaile, Ronalds Zakovskis, Sergejs Kozlovics
http://arxiv.org/abs/2106.07162v1

• [cs.LG]Graph Domain Adaptation: A Generative View
Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang
http://arxiv.org/abs/2106.07482v1

• [cs.LG]Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng, Bryan Hooi
http://arxiv.org/abs/2106.06947v1

• [cs.LG]Graph Optimal Transport with Transition Couplings of Random Walks
Kevin O’Connor, Bongsoo Yi, Kevin McGoff, Andrew B. Nobel
http://arxiv.org/abs/2106.07106v1

• [cs.LG]Guaranteed Fixed-Confidence Best Arm Identification in Multi-Armed Bandit
MohammadJavad Azizi, Sheldon M Ross, Zhengyu Zhang
http://arxiv.org/abs/2106.06848v1

• [cs.LG]Harmonization with Flow-based Causal Inference
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
http://arxiv.org/abs/2106.06845v1

• [cs.LG]Hierarchically Regularized Deep Forecasting
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
http://arxiv.org/abs/2106.07630v1

• [cs.LG]Improving Metric Dimensionality Reduction with Distributed Topology
Alexander Wagner, Elchanan Solomon, Paul Bendich
http://arxiv.org/abs/2106.07613v1

• [cs.LG]Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish
http://arxiv.org/abs/2106.06607v1

• [cs.LG]Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu, Giuseppe Vietri, Zhiwei Steven Wu
http://arxiv.org/abs/2106.07153v1

• [cs.LG]Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
Madhusanka Manimel Wadu, Sumudu Samarakoon, Mehdi Bennis
http://arxiv.org/abs/2106.06796v1

• [cs.LG]Knowledge Consolidation based Class Incremental Online Learning with Limited Data
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
http://arxiv.org/abs/2106.06795v1

• [cs.LG]Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective
Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
http://arxiv.org/abs/2106.07115v1

• [cs.LG]Learngene: From Open-World to Your Learning Task
Qiufeng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu
http://arxiv.org/abs/2106.06788v1

• [cs.LG]Learning to Combine Per-Example Solutions for Neural Program Synthesis
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
http://arxiv.org/abs/2106.07175v1

• [cs.LG]Low-memory stochastic backpropagation with multi-channel randomized trace estimation
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, Felix J. Herrmann
http://arxiv.org/abs/2106.06998v1

• [cs.LG]MLPerf Tiny Benchmark
Colby Banbury, Vijay Janapa Reddi, Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Kiraly, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, Urmish Thakker, Antonio Torrini, Peter Warden, Jay Cordaro, Giuseppe Di Guglielmo, Javier Duarte, Stephen Gibellini, Videet Parekh, Honson Tran, Nhan Tran, Niu Wenxu, Xu Xuesong
http://arxiv.org/abs/2106.07597v1

• [cs.LG]Markov Decision Processes with Long-Term Average Constraints
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
http://arxiv.org/abs/2106.06680v1

• [cs.LG]Markov Neural Operators for Learning Chaotic Systems
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar
http://arxiv.org/abs/2106.06898v1

• [cs.LG]Model-free Reinforcement Learning for Branching Markov Decision Processes
Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak
http://arxiv.org/abs/2106.06777v1

• [cs.LG]Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
http://arxiv.org/abs/2106.06935v1

• [cs.LG]Node Classification Meets Link Prediction on Knowledge Graphs
Ralph Abboud, İsmail İlkan Ceylan
http://arxiv.org/abs/2106.07297v1

• [cs.LG]Non Gaussian Denoising Diffusion Models
Eliya Nachmani, Robin San Roman, Lior Wolf
http://arxiv.org/abs/2106.07582v1

• [cs.LG]Non-Transferable Learning: A New Approach for Model Verification and Authorization
Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu
http://arxiv.org/abs/2106.06916v1

• [cs.LG]On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Yiming Zhang, Keith W. Ross
http://arxiv.org/abs/2106.07329v1

• [cs.LG]Online Learning of Competitive Equilibria in Exchange Economies
Wenshuo Guo, Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I. Jordan, Ion Stoica
http://arxiv.org/abs/2106.06616v1

• [cs.LG]Online Learning with Optimism and Delay
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
http://arxiv.org/abs/2106.06885v1

• [cs.LG]Online Sub-Sampling for Reinforcement Learning with General Function Approximation
Dingwen Kong, Ruslan Salakhutdinov, Ruosong Wang, Lin F. Yang
http://arxiv.org/abs/2106.07203v1

• [cs.LG]Optimal Counterfactual Explanations in Tree Ensembles
Axel Parmentier, Thibaut Vidal
http://arxiv.org/abs/2106.06631v1

• [cs.LG]PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang
http://arxiv.org/abs/2106.07451v1

• [cs.LG]Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
http://arxiv.org/abs/2106.07218v1

• [cs.LG]Piecewise-constant Neural ODEs
Sam Greydanus, Stefan Lee, Alan Fern
http://arxiv.org/abs/2106.06621v1

• [cs.LG]PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause
http://arxiv.org/abs/2106.07445v1

• [cs.LG]Post-hoc loss-calibration for Bayesian neural networks
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
http://arxiv.org/abs/2106.06997v1

• [cs.LG]Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
http://arxiv.org/abs/2106.06615v1

• [cs.LG]Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No
http://arxiv.org/abs/2106.07229v1

• [cs.LG]Quantifying the Conceptual Error in Dimensionality Reduction
Tom Hanika, Johannes Hirth
http://arxiv.org/abs/2106.06815v1

• [cs.LG]RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation
Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner
http://arxiv.org/abs/2106.07260v1

• [cs.LG]RRULES: An improvement of the RULES rule-based classifier
Rafel Palliser-Sans
http://arxiv.org/abs/2106.07296v1

• [cs.LG]Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran, Ohad Shamir
http://arxiv.org/abs/2106.06880v1

• [cs.LG]Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Shai Keynan, Elad Sarafian, Sarit Kraus
http://arxiv.org/abs/2106.06842v1

• [cs.LG]Relaxing Local Robustness
Klas Leino, Matt Fredrikson
http://arxiv.org/abs/2106.06624v1

• [cs.LG]Relearning ensemble selection based on new generated features
Robert Burduk
http://arxiv.org/abs/2106.06761v1

• [cs.LG]Robust Representation Learning via Perceptual Similarity Metrics
Saeid Asgari Taghanaki, Kristy Choi, Amir Khasahmadi, Anirudh Goyal
http://arxiv.org/abs/2106.06620v1

• [cs.LG]SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson
http://arxiv.org/abs/2106.06695v1

• [cs.LG]Scalars are universal: Gauge-equivariant machine learning, structured like classical physics
Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith
http://arxiv.org/abs/2106.06610v1

• [cs.LG]Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent
Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu
http://arxiv.org/abs/2106.06753v1

• [cs.LG]Semi-verified Learning from the Crowd with Pairwise Comparisons
Shiwei Zeng, Jie Shen
http://arxiv.org/abs/2106.07080v1

• [cs.LG]Short-term forecasting of global solar irradiance with incomplete data
Laura S. Hoyos-Gómez, Jose F. Ruiz-Muñoz, Belizza J. Ruiz-Mendoza
http://arxiv.org/abs/2106.06868v1

• [cs.LG]Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations
Haike Xu, Jian Li
http://arxiv.org/abs/2106.06712
89e
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89e
v1)

• [cs.LG]Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
Jatin Chauhan, Karan Bhukar, Manohar Kaul
http://arxiv.org/abs/2106.07047v1

• [cs.LG]Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
http://arxiv.org/abs/2106.07156v1

• [cs.LG]The DEformer: An Order-Agnostic Distribution Estimating Transformer
Michael A. Alcorn, Anh Nguyen
http://arxiv.org/abs/2106.06989v1

• [cs.LG]Thinking Like Transformers
Gail Weiss, Yoav Goldberg, Eran Yahav
http://arxiv.org/abs/2106.06981v1

• [cs.LG]Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
Yujia Jin, Aaron Sidford
http://arxiv.org/abs/2106.07046v1

• [cs.LG]Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win
Jaron Maene, Mingxiao Li, Marie-Francine Moens
http://arxiv.org/abs/2106.06955v1

• [cs.LG]Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services
Stanislav Abaimov
http://arxiv.org/abs/2106.06765v1

• [cs.LG]Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
http://arxiv.org/abs/2106.07476v1

• [cs.LG]Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field
Yining Huang, Meilian Chen, Keke Tang
http://arxiv.org/abs/2106.07502v1

• [cs.LG]Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard
http://arxiv.org/abs/2106.06983v1

• [cs.LG]Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
Hidetaka Kamigaito, Katsuhiko Hayashi
http://arxiv.org/abs/2106.07250v1

• [cs.LG]Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen, Pieter Abbeel, Deepak Pathak
http://arxiv.org/abs/2106.07643v1

• [cs.LG]Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
http://arxiv.org/abs/2106.07635v1

• [cs.LG]Weakly-supervised Graph Meta-learning for Few-shot Node Classification
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
http://arxiv.org/abs/2106.06873v1

• [cs.LG]What can linearized neural networks actually say about generalization?
Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
http://arxiv.org/abs/2106.06770v1

• [cs.LG]Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine
http://arxiv.org/abs/2106.07278v1

• [cs.LG]Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Beau Coker, Weiwei Pan, Finale Doshi-Velez
http://arxiv.org/abs/2106.07052v1

• [cs.LG]Zero-Cost Proxies Meet Differentiable Architecture Search
Lichuan Xiang, Łukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen
http://arxiv.org/abs/2106.06799v1

• [cs.LG]iNNformant: Boundary Samples as Telltale Watermarks
Alexander Schlögl, Tobias Kupek, Rainer Böhme
http://arxiv.org/abs/2106.07303v1

• [cs.LG]pix2rule: End-to-end Neuro-symbolic Rule Learning
Nuri Cingillioglu, Alessandra Russo
http://arxiv.org/abs/2106.07487v1

• [cs.MA]A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
http://arxiv.org/abs/2106.06828v1

• [cs.MM]Deep Learning for Reversible Steganography: Principles and Insights
Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li
http://arxiv.org/abs/2106.06924v1

• [cs.NE]Affine OneMax
Arnaud Berny
http://arxiv.org/abs/2106.06876v1

• [cs.NE]Energy-efficient Knowledge Distillation for Spiking Neural Networks
Dongjin Lee, Seongsik Park, Jongwan Kim, Wuhyeong Doh, Sungroh Yoon
http://arxiv.org/abs/2106.07172v1

• [cs.NE]Evolutionary Robust Clustering Over Time for Temporal Data
Qi Zhao, Bai Yan, Yuhui Shi
http://arxiv.org/abs/2106.07252v1

• [cs.NE]Linear representation of categorical values
Arnaud Berny
http://arxiv.org/abs/2106.07095v1

• [cs.NE]Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao
http://arxiv.org/abs/2106.07318v1

• [cs.NE]Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Santiago Miret, Vui Seng Chua, Mattias Marder, Mariano Phielipp, Nilesh Jain, Somdeb Majumdar
http://arxiv.org/abs/2106.07611v1

• [cs.NE]The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew Sornborger
http://arxiv.org/abs/2106.07030v1

• [cs.NI]Active Learning for Network Traffic Classification: A Technical Survey
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut
http://arxiv.org/abs/2106.06933v1

• [cs.NI]Cox Models for Vehicular Networks: SIR Performance and Equivalence
Jeya Pradha Jeyaraj, Martin Haenggi
http://arxiv.org/abs/2106.06836v1

• [cs.RO]A Data-Driven Approach for Contact Detection, Classification and Reaction in Physical Human-Robot Collaboration
Martina Lippi, Giuseppe Gillini, Alessandro Marino, Filippo Arrichiello
http://arxiv.org/abs/2106.06781v1

• [cs.RO]A Mixed-Integer Linear Programming Formulation for Human Multi-Robot Task Allocation
Martina Lippi, Alessandro Marino
http://arxiv.org/abs/2106.06772v1

• [cs.RO]Deploying COTS Legged Robot Platforms into a Heterogeneous Robot Team
Benjamin Tam, Thomas Molnar, Fletcher Talbot, Brett Wood, Ryan Steindl
http://arxiv.org/abs/2106.07182v1

• [cs.RO]Dynamic Based Estimator for UAVs with Real-time Identification Using DNN and the Modified Relay Feedback Test
Mohamad Wahbah, Mohamad Chehadeh, Yahya Zweiri
http://arxiv.org/abs/2106.07299v1

• [cs.RO]Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles
Ammar N. Abbas, Muhammad Asad Irshad, Hossam Hassan Ammar
http://arxiv.org/abs/2106.07003v1

• [cs.RO]Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
Xiaoyu Mo, Yang Xing, Chen Lv
http://arxiv.org/abs/2106.07161v1

• [cs.RO]Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly
Morteza Daneshmand, Fatemeh Noroozi, Ciprian Corneanu, Fereshteh Mafakheri, Paolo Fiorini
http://arxiv.org/abs/2106.07270v1

• [cs.RO]Inexact Loops in Robotics Problems
Erik Nelson
http://arxiv.org/abs/2106.06617v1

• [cs.RO]Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method
Yupeng Jia, Haiyong Luo, Fang Zhao, Guanlin Jiang, Yuhang Li, Jiaquan Yan, Zhuqing Jiang
http://arxiv.org/abs/2106.06783v1

• [cs.RO]Multi-modal Scene-compliant User Intention Estimation for Navigation
Kavindie Katuwandeniya, Stefan H. Kiss, Lei Shi, Jaime Valls Miro
http://arxiv.org/abs/2106.06920v1

• [cs.RO]Redirected Walking in Static and Dynamic Scenes Using Visibility Polygons
Niall L. Williams, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/2106.06807v1

• [cs.RO]Transition Motion Planning for Multi-Limbed Vertical Climbing Robots Using Complementarity Constraints
Jingwen Zhang, Xuan Lin, Dennis W Hong
http://arxiv.org/abs/2106.07127v1

• [cs.RO]Underwater Soft Robotic Hand with Multi-Source Coupling Bio-Inspired Soft Palm and Six Fingers Driven by Water Hydraulic
Haihang Wang, He Xu, Chen Yang, Xin Li, Siqing Chen
http://arxiv.org/abs/2106.07011v1

• [cs.RO]Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions
Hikaru Sasaki, Takamitsu Matsubara
http://arxiv.org/abs/2106.07125v1

• [cs.RO]Verified Synthesis of Optimal Safety Controllers for Human-Robot Collaboration
Mario Gleirscher, Radu Calinescu, James Douthwaite, Benjamin Lesage, Colin Paterson, Jonathan Aitken, Rob Alexander, James Law
http://arxiv.org/abs/2106.06604v1

• [cs.SD]A Novel mapping for visual to auditory sensory substitution
Ezsan Mehrbani, Sezedeh Fatemeh Mirhoseini, Noushin Riahi
http://arxiv.org/abs/2106.07448v1

• [cs.SD]Audio Attacks and Defenses against AED Systems — A Practical Study
Rodrigo dos Santos, Shirin Nilizadeh
http://arxiv.org/abs/2106.07428v1

• [cs.SD]CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard, Gaëtan Hadjeres
http://arxiv.org/abs/2106.07431v1

• [cs.SD]Continuous Wavelet Vocoder-based Decomposition of Parametric Speech Waveform Synthesis
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh
http://arxiv.org/abs/2106.06863v1

• [cs.SD]FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo
http://arxiv.org/abs/2106.07268v1

• [cs.SD]GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan
http://arxiv.org/abs/2106.06909v1

• [cs.SD]SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform
Yuhang He, Niki Trigoni, Andrew Markham
http://arxiv.org/abs/2106.06969v1

• [cs.SE]Data Science Methodologies: Current Challenges and Future Approaches
Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola
http://arxiv.org/abs/2106.07287v1

• [cs.SI]Allocating Stimulus Checks in Times of Crisis
Marios Papachristou, Jon Kleinberg
http://arxiv.org/abs/2106.07560v1

• [cs.SI]Both Rates of Fake News and Fact-based News on Twitter Negatively Correlate with the State-level COVID-19 Vaccine Uptake
Hanjia Lyu, Zihe Zheng, Jiebo Luo
http://arxiv.org/abs/2106.07435v1

• [cs.SI]Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media
Mir Mehedi A. Pritom, Rosana Montanez Rodriguez, Asad Ali Khan, Sebastian A. Nugroho, Esra’a Alrashydah, Beatrice N. Ruiz, Anthony Rios
http://arxiv.org/abs/2106.06811v1

• [cs.SI]Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
http://arxiv.org/abs/2106.07039v1

• [cs.SI]Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People’s Republic of China
Rong-Ching Chang, Chun-Ming Lai, Kai-Lai Chang, Chu-Hsing Lin
http://arxiv.org/abs/2106.07544v1

• [cs.SI]Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty
http://arxiv.org/abs/2106.07012v1

• [eess.AS]Improving weakly supervised sound event detection with self-supervised auxiliary tasks
Soham Deshmukh, Bhiksha Raj, Rita Singh
http://arxiv.org/abs/2106.06858v1

• [eess.AS]WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
Yunzhe Hao, Jiaming Xu, Peng Zhang, Bo Xu
http://arxiv.org/abs/2106.07016v1

• [eess.IV]An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19
Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Kiran Vishnu Narayan, C Kesavadas, A P Vinod
http://arxiv.org/abs/2106.06980v1

• [eess.IV]CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi
http://arxiv.org/abs/2106.06637v1

• [eess.IV]DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis
Yujiao Wu, Jie Ma, Xiaoshui Huang, Sai Ho Ling, Steven Weidong Su
http://arxiv.org/abs/2106.06744v1

• [eess.IV]Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota
http://arxiv.org/abs/2106.07066v1

• [eess.IV]Evaluating Foveated Video Quality Using Entropic Differencing
Yize Jin, Anjul Patney, Alan Bovik
http://arxiv.org/abs/2106.06817v1

• [eess.IV]Feedback Pyramid Attention Networks for Single Image Super-Resolution
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
http://arxiv.org/abs/2106.06966v1

• [eess.IV]Hippocampus segmentation in magnetic resonance images of Alzheimer’s patients using Deep machine learning
Hadi Varmazyar, Hossein Yousefi-Banaem, Saber Malekzadeh, Nahideh Gharehaghaji
http://arxiv.org/abs/2106.06743v1

• [eess.IV]LE-NAS: Learning-based Ensenble with NAS for Dose Prediction
Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng
http://arxiv.org/abs/2106.06733v1

• [eess.IV]Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos
Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan, Yale Tung Chen, Jacob L Jaremko, Kiran Vishnu Narayan, Kesavadas C
http://arxiv.org/abs/2106.06987v1

• [eess.IV]MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos Kollias
http://arxiv.org/abs/2106.07524v1

• [eess.IV]NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
Hou Hao, Hou Yingkun, Shi Yuxuan, Wei Benzheng, Xu Jun
http://arxiv.org/abs/2106.06971v1

• [eess.IV]Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong Chul Ye
http://arxiv.org/abs/2106.07009v1

• [eess.IV]Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei
http://arxiv.org/abs/2106.06996v1

• [eess.IV]Rapid COVID-19 Risk Screening by Eye-region Manifestations
Yanwei Fu, Lei Zhao, Haojie Zheng, Qiang Sun, Li Yang, Hong Li, Jiao Xie, Xiangyang Xue, Feng Li, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian Mengwei Gu1
http://arxiv.org/abs/2106.06664v1

• [eess.IV]Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah Gerard, David Kaczka, Amin Motahari, Eric Hoffman, Joseph Reinhardt, R. Graham Barr, Elsa Angelini, Andrew Laine
http://arxiv.org/abs/2106.07608v1

• [eess.IV]Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche, Faouzi Alaya Cheikh
http://arxiv.org/abs/2106.06784v1

• [eess.IV]Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
http://arxiv.org/abs/2106.06742v1

• [eess.SP]Design and Experimental Assessment of Detection Schemes for Air Interface Attacks in Adverse Scenarios
Danilo Orlando, Ivan Palamà, Stefania Bartoletti, Giuseppe Bianchi, Nicola Blefari Melazzi
http://arxiv.org/abs/2106.07199v1

• [eess.SP]Signal processing on simplicial complexes
Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
http://arxiv.org/abs/2106.07471v1

• [eess.SY]A scalable multi-step least squares method for network identification with unknown disturbance topology
Stefanie J. M. Fonken, Karthik R. Ramaswamy, Paul M. J. Van den Hof
http://arxiv.org/abs/2106.07548v1

• [eess.SY]Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath
http://arxiv.org/abs/2106.07108v1

• [math.NA]Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries
John Harlim, Shixiao Jiang, Hwanwoo Kim, Daniel Sanz-Alonso
http://arxiv.org/abs/2106.06787v1

• [math.NA]MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
http://arxiv.org/abs/2106.07135v1

• [math.NA]On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen, Jianfeng Lu, Yulong Lu
http://arxiv.org/abs/2106.07539v1

• [math.OC]Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan
http://arxiv.org/abs/2106.07243v1

• [math.OC]Decentralized Inertial Best-Response with Voluntary and Limited Communication in Random Communication Networks
Sarper Aydın, Ceyhun Eksin
http://arxiv.org/abs/2106.07079v1

• [math.OC]Distributionally Robust Optimization with Markovian Data
Mengmeng Li, Tobias Sutter, Daniel Kuhn
http://arxiv.org/abs/2106.06741v1

• [math.OC]Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao
http://arxiv.org/abs/2106.07323v1

• [math.OC]Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem
Shuang Li, Gongguo Tang, Michael B. Wakin
http://arxiv.org/abs/2106.06574v1

• [math.OC]NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
http://arxiv.org/abs/2106.07454v1

• [math.OC]Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
Feng Lin, Weiyu Li, Qing Ling
http://arxiv.org/abs/2106.06891v1

• [math.PR]A Cluster Model for Growth of Random Trees
Nomvelo Sibisi
http://arxiv.org/abs/2106.06779v1

• [math.PR]Distributionally Robust Martingale Optimal Transport
Zhengqing Zhou, Jose Blanchet, Peter W. Glynn
http://arxiv.org/abs/2106.07191v1

• [math.ST]A Large Deviation Approach to Posterior Consistency in Dynamical Systems
Langxuan Su, Sayan Mukherjee
http://arxiv.org/abs/2106.06894v1

• [math.ST]Dependency in DAG models with Hidden Variables
Robin J. Evans
http://arxiv.org/abs/2106.07523v1

• [math.ST]Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
Emilio De Santis, Antonio Galves, Giovanna Nappo, Mauro Piccioni
http://arxiv.org/abs/2106.07529v1

• [math.ST]Inferring the mixing properties of an ergodic process
Azadeh Khaleghi, Gábor Lugosi
http://arxiv.org/abs/2106.07054v1

• [math.ST]On an Asymptotic Distribution for the MLE
Stephen G Walker
http://arxiv.org/abs/2106.06597v1

• [math.ST]Optimal detection of the feature matching map in presence of noise and outliers
Tigran Galstyan, Arshak Minasyan, Arnak Dalalyan
http://arxiv.org/abs/2106.07044v1

• [math.ST]Outlier detection in multivariate functional data through a contaminated mixture model
Martial Amovin-Assagba, Irène Gannaz, Julien Jacques
http://arxiv.org/abs/2106.07222v1

• [physics.comp-ph]Machine Learning Implicit Solvation for Molecular Dynamics
Yaoyi Chen, Andreas Krämer, Nicholas E. Charron, Brooke E. Husic, Cecilia Clementi, Frank Noé
http://arxiv.org/abs/2106.07492v1

• [physics.med-ph]No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry
F. Mentzel, E. Derugin, H. Jansen, K. Kröninger, O. Nackenhorst, J. Walbersloh, J. Weingarten
http://arxiv.org/abs/2106.07592v1

• [physics.soc-ph]Optimal transport in multilayer networks
Abdullahi Adinoyi Ibrahim, Alessandro Lonardi, Caterina De Bacco
http://arxiv.org/abs/2106.07202v1

• [q-bio.BM]Predicting 3D RNA Folding Patterns via Quadratic Binary Optimization
Mark W. Lewis, Amit Verma, Rick Hennig
http://arxiv.org/abs/2106.07527v1

• [q-bio.GN]GPA-Tree: Statistical Approach for Functional-Annotation-Tree-Guided Prioritization of GWAS Results
Aastha Khatiwada, Bethany J. Wolf, Ayse Selen Yilmaz, Paula S. Ramos, Maciej Pietrzak, Andrew Lawson, Kelly J. Hunt, Hang J. Kim, Dongjun Chung
http://arxiv.org/abs/2106.06877v1

• [q-bio.NC]Predicting the imagined contents using brain activation
Krishna Prasad Miyapuram, Wolfram Schultz, Philippe N. Tobler
http://arxiv.org/abs/2106.07355v1

• [q-bio.QM]A novel fully 3D, microfluidic-oriented, gel-based and low cost stretchable soft sensor
Mohsen Annabestani, Pouria Esmaili-Dokht, Seyyed Ali Olianasab, Nooshin Orouji, Zeinab Alipour, Mohammad Hossein Sayad, Kimia Rajabi, Barbara Mazzolai, Mehdi Fardmanesh
http://arxiv.org/abs/2106.06975v1

• [q-fin.ST]A News-based Machine Learning Model for Adaptive Asset Pricing
Liao Zhu, Haoxuan Wu, Martin T. Wells
http://arxiv.org/abs/2106.07103v1

• [quant-ph]Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing
Rhea Parekh, Andrea Ricciardi, Ahmed Darwish, Stephen DiAdamo
http://arxiv.org/abs/2106.06841v1

• [quant-ph]Quantum diffusion map for nonlinear dimensionality reduction
Apimuk Sornsaeng, Ninnat Dangniam, Pantita Palittapongarnpim, Thiparat Chotibut
http://arxiv.org/abs/2106.07302v1

• [stat.AP]Analysis of historical data leveraging the sandpile model of self-organized criticality demonstrates the efficacy of prescribed burns in reducing risk of destructive wildfires
Joshua E. Gang, Wanqi Jia, Ira A. Herniter
http://arxiv.org/abs/2106.06591v1

• [stat.AP]Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
Gabriel Calvo, Carmen Armero, Virgilio Gómez-Rubio, Guido Mazzinari
http://arxiv.org/abs/2106.07626v1

• [stat.AP]Cross-replication Reliability — An Empirical Approach to Interpreting Inter-rater Reliability
Ka Wong, Praveen Paritosh, Lora Aroyo
http://arxiv.org/abs/2106.07393v1

• [stat.AP]High-resolution population estimation using household survey data and building footprints
Gianluca Boo, Edith Darin, Douglas R Leasure, Claire A Dooley, Heather R Chamberlain, Attila N Lázár, Kevin Tschirhart, Cyrus Sinai, Nicole A Hoff, Trevon Fuller, Kamy Musene, Arly Batumbo, Anne W Rimoin, Andrew J Tatem
http://arxiv.org/abs/2106.07461v1

• [stat.AP]Inference with generalizable classifier predictions
Ciaran Evans, Zara Y. Weinberg, Manojkumar A. Puthenveedu, Max G’Sell
http://arxiv.org/abs/2106.07623v1

• [stat.AP]Modeling satellite-based open water fraction via flexible Beta regression: An application to wetlands in the north-western Pacific coast of Mexico
Inder Tecuapetla-Gómez, Julia Trinidad Reyes
http://arxiv.org/abs/2106.07478v1

• [stat.AP]Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
Rendani Mbuvha, Patience Zondo, Aluwani Mauda, Tshilidzi Marwala
http://arxiv.org/abs/2106.06805v1

• [stat.CO]Improving Bridge estimators via -GAN
Hanwen Xing
http://arxiv.org/abs/2106.07462v1

• [stat.ME]A Phylogenetic Trees Analysis of SARS-CoV-2
Chen Shen, Vic Patrangenaru, Roland Moore
http://arxiv.org/abs/2106.06918v1

• [stat.ME]A test for partial correlation between repeatedly observed nonstationary nonlinear timeseries
Kenneth D. Harris
http://arxiv.org/abs/2106.07096v1

• [stat.ME]Adaptation of the Tuning Parameter in General Bayesian Inference with Robust Divergence
Shouto Yonekura, Shonosuke Sugasawa
http://arxiv.org/abs/2106.06902v1

• [stat.ME]Bahadur efficiency of EDF based normality tests when parameters are estimated
Bojana Milošević, Marko Obradović
http://arxiv.org/abs/2106.07437v1

• [stat.ME]Fused inverse-normal method for integrated differential expression analysis of RNA-seq data
Birbal Prasad, Xinzhong Li
http://arxiv.org/abs/2106.06865v1

• [stat.ME]Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies
Dylan Spicker, Michael P Wallace, Grace Y Yi
http://arxiv.org/abs/2106.07401v1

• [stat.ME]Quasi-Maximum Likelihood based Model Selection Procedures for Binary Outcomes
Shunichiro Orihara
http://arxiv.org/abs/2106.07587v1

• [stat.ME]Regression inference for multiple populations by integrating summary-level data using stacked imputations
Tian Gu, Jeremy M. G. Taylor, Bhramar Mukherjee
http://arxiv.org/abs/2106.06835v1

• [stat.ME]Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
Daniel Spencer, Yu, Yue, David Bolin, Sarah Ryan, Amanda F. Mejia
http://arxiv.org/abs/2106.06669v1

• [stat.ME]Statistical Analysis from the Fourier Integral Theorem
Nhat Ho, Stephen G. Walker
http://arxiv.org/abs/2106.06608v1

• [stat.ML]A Wasserstein Minimax Framework for Mixed Linear Regression
Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar
http://arxiv.org/abs/2106.07537v1

• [stat.ML]Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
Aaron Schein, Anjali Nagulpally, Hanna Wallach, Patrick Flaherty
http://arxiv.org/abs/2106.06691v1

• [stat.ML]Last Layer Marginal Likelihood for Invariance Learning
Pola Elisabeth Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark van der Wilk
http://arxiv.org/abs/2106.07512v1

• [stat.ML]Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman
http://arxiv.org/abs/2106.07263v1

• [stat.ML]Marginalising over Stationary Kernels with Bayesian Quadrature
Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts
http://arxiv.org/abs/2106.07452v1

• [stat.ML]Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
http://arxiv.org/abs/2106.07636v1

• [stat.ML]On the Sample Complexity of Learning with Geometric Stability
Alberto Bietti, Luca Venturi, Joan Bruna
http://arxiv.org/abs/2106.07148v1

• [stat.ML]Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Liping Liu
http://arxiv.org/abs/2106.06189v2

• [stat.ML]Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Shulei Wang
http://arxiv.org/abs/2106.07138v1

• [stat.ML]Understanding Deflation Process in Over-parametrized Tensor Decomposition
Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou
http://arxiv.org/abs/2106.06573v1