今日学术视野(2021.5.12)

cond-mat.stat-mech - 统计数学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CC - 计算复杂度
cs.CE - 计算工程、 金融和科学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PL - 编程语言
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
econ.GN - 一般经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.ST - 统计理论
math.AG - 代数几何
math.MG -公制几何
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.bio-ph - 生物物理
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
q-fin.TR - 贸易与市场微观结构
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
stat.OT - 其他统计学

• [cond-mat.stat-mech]Boltzmann machines as two-dimensional tensor networks
• [cond-mat.stat-mech]Reinforcement learning of rare diffusive dynamics
• [cs.AI]An Intelligent Model for Solving Manpower Scheduling Problems
• [cs.AI]Business Entity Matching with Siamese Graph Convolutional Networks
• [cs.AI]CREPO: An Open Repository to Benchmark Credal Network Algorithms
• [cs.AI]Exploring open-ended gameplay features with Micro RollerCoaster Tycoon
• [cs.AI]Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version
• [cs.AI]Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper
• [cs.AI]On Guaranteed Optimal Robust Explanations for NLP Models
• [cs.AI]PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning
• [cs.AI]Swarm Differential Privacy for Purpose Driven Data-Information-Knowledge-Wisdom Architecture
• [cs.AI]Towards Benchmarking the Utility of Explanations for Model Debugging
• [cs.AR]Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture
• [cs.AR]DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks
• [cs.CC]Super Solutions of the Model RB
• [cs.CE]SimJEB: Simulated Jet Engine Bracket Dataset
• [cs.CL]Advising Agent for Service-Providing Live-Chat Operators
• [cs.CL]Analyzing Online Political Advertisements
• [cs.CL]Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
• [cs.CL]Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?
• [cs.CL]Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
• [cs.CL]Continuous representations of intents for dialogue systems
• [cs.CL]D2S: Document-to-Slide Generation Via Query-Based Text Summarization
• [cs.CL]DefSent: Sentence Embeddings using Definition Sentences
• [cs.CL]Dispatcher: A Message-Passing Approach To Language Modelling
• [cs.CL]DocOIE: A Document-level Context-Aware Dataset for OpenIE
• [cs.CL]DocSCAN: Unsupervised Text Classification via Learning from Neighbors
• [cs.CL]Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
• [cs.CL]Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
• [cs.CL]Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning
• [cs.CL]ExpMRC: Explainability Evaluation for Machine Reading Comprehension
• [cs.CL]FNet: Mixing Tokens with Fourier Transforms
• [cs.CL]Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
• [cs.CL]FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
• [cs.CL]Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
• [cs.CL]High-performance symbolic-numerics via multiple dispatch
• [cs.CL]Improving Cross-Lingual Reading Comprehension with Self-Training
• [cs.CL]Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
• [cs.CL]Improving Patent Mining and Relevance Classification using Transformers
• [cs.CL]Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
• [cs.CL]Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
• [cs.CL]Knowledge-based Review Generation by Coherence Enhanced Text Planning
• [cs.CL]Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents
• [cs.CL]Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
• [cs.CL]Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
• [cs.CL]Long-Span Dependencies in Transformer-based Summarization Systems
• [cs.CL]Measuring and Increasing Context Usage in Context-Aware Machine Translation
• [cs.CL]NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
• [cs.CL]Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
• [cs.CL]Neural Text Generation with Part-of-Speech Guided Softmax
• [cs.CL]Poolingformer: Long Document Modeling with Pooling Attention
• [cs.CL]REPT: Bridging Language Models and Machine Reading Comprehensionvia Retrieval-Based Pre-training
• [cs.CL]ReadTwice: Reading Very Large Documents with Memories
• [cs.CL]Recent Advances in Deep Learning-based Dialogue Systems
• [cs.CL]SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
• [cs.CL]Self-Guided Curriculum Learning for Neural Machine Translation
• [cs.CL]Similarities between Arabic Dialects: Investigating Geographical Proximity
• [cs.CL]Societal Biases in Language Generation: Progress and Challenges
• [cs.CL]UPC’s Speech Translation System for IWSLT 2021
• [cs.CL]Understanding by Understanding Not: Modeling Negation in Language Models
• [cs.CL]Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
• [cs.CL]gComm: An environment for investigating generalization in Grounded Language Acquisition
• [cs.CR]ADASYN-Random Forest Based Intrusion Detection Model
• [cs.CR]De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
• [cs.CR]Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
• [cs.CR]Mental Models of Adversarial Machine Learning
• [cs.CR]RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Interne
5b9a
t of Things
• [cs.CR]SIRNN: A Math Library for Secure RNN Inference
• [cs.CR]Tamper Detection against Unitary Operators
• [cs.CV]A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning
• [cs.CV]A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval
• [cs.CV]ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
• [cs.CV]AFINet: Attentive Feature Integration Networks for Image Classification
• [cs.CV]Action Shuffling for Weakly Supervised Temporal Localization
• [cs.CV]Active Terahertz Imaging Dataset for Concealed Object Detection
• [cs.CV]An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
• [cs.CV]An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning
• [cs.CV]An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery
• [cs.CV]An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images
• [cs.CV]Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
• [cs.CV]AnomalyHop: An SSL-based Image Anomaly Localization Method
• [cs.CV]Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
• [cs.CV]Binarized Weight Error Networks With a Transition Regularization Term
• [cs.CV]Boosting Semi-Supervised Face Recognition with Noise Robustness
• [cs.CV]CASIA-Face-Africa: A Large-scale African Face Image Database
• [cs.CV]CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation
• [cs.CV]Conformer: Local Features Coupling Global Representations for Visual Recognition
• [cs.CV]Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
• [cs.CV]Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting
• [cs.CV]Deep feature selection-and-fusion for RGB-D semantic segmentation
• [cs.CV]Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
• [cs.CV]DocReader: Bounding-Box Free Training of a Document Information Extraction Model
• [cs.CV]Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
• [cs.CV]Elastic Weight Consolidation (EWC): Nuts and Bolts
• [cs.CV]End-to-End Optical Character Recognition for Bengali Handwritten Words
• [cs.CV]Estimation of 3D Human Pose Using Prior Knowledge
• [cs.CV]Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
• [cs.CV]Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images
• [cs.CV]Facial Emotion Recognition: State of the Art Performance on FER2013
• [cs.CV]Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture
• [cs.CV]Good Practices and A Strong Baseline for Traffic Anomaly Detection
• [cs.CV]ICON: Learning Regular Maps Through Inverse Consistency
• [cs.CV]Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms
• [cs.CV]Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
• [cs.CV]KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
• [cs.CV]Learning to Predict Repeatability of Interest Points
• [cs.CV]MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation
• [cs.CV]Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
• [cs.CV]Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
• [cs.CV]Optimising Resource Management for Embedded Machine Learning
• [cs.CV]Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
• [cs.CV]PCA Event-Based Otical Flow for Visual Odometry
• [cs.CV]PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data
• [cs.CV]Preserving Privacy in Human-Motion Affect Recognition
• [cs.CV]Primitive Representation Learning for Scene Text Recognition
• [cs.CV]Reconstructive Sequence-Graph Network for Video Summarization
• [cs.CV]RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation
• [cs.CV]Robust Training Using Natural Transformation
• [cs.CV]SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
• [cs.CV]Seismic Fault Segmentation via 3D-CNN Training by a Few 2D Slices Labels
• [cs.CV]Selective Probabilistic Classifier Based on Hypothesis Testing
• [cs.CV]Self-Supervised Adversarial Example Detection by Disentangled Representation
• [cs.CV]Self-Supervised Learning with Swin Transformers
• [cs.CV]Self-supervised spectral matching network for hyperspectral target detection
• [cs.CV]Slash or burn: Power line and vegetation classification for wildfire prevention
• [cs.CV]Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
• [cs.CV]Stochastic Image-to-Video Synthesis using cINNs
• [cs.CV]Temporal-Spatial Feature Pyramid for Video Saliency Detection
• [cs.CV]TextAdaIN: Fine-Grained AdaIN for Robust Text Recognition
• [cs.CV]TrTr: Visual Tracking with Transformer
• [cs.CV]Trajectory Prediction for Autonomous Driving with Topometric Map
• [cs.CV]Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
• [cs.CV]Unsupervised Human Pose Estimation through Transforming Shape Templates
• [cs.CV]Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow
• [cs.CV]Visual Grounding with Transformers
• [cs.CV]You Only Learn One Representation: Unified Network for Multiple Tasks
• [cs.CV]e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
• [cs.CY]CASTing a Net: Supporting Teachers with Search Technology
• [cs.CY]Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem
• [cs.CY]Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation
• [cs.DB]G-Tran: Making Distributed Graph Transactions Fast
• [cs.DC]Agreement in the presence of disagreeing rational players: The Huntsman Protocol
• [cs.DC]Blockchain Systems, Technologies and Applications: A Methodology Perspective
• [cs.DC]Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
• [cs.DC]Fast Neighborhood Rendezvous
• [cs.DC]Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine
• [cs.DC]Survey of Parallel A* in Rust
• [cs.DC]The Pony Express Communication Problem
• [cs.GT]Applications of Auction and Mechanism Design in Edge Computing: A Survey
• [cs.HC]Designing a Web Application for Simple and Collaborative Video Annotation That Meets Teaching Routines and Educational Requirements
• [cs.IR]A Probabilistic Approach to Personalize Type-based Facet Ranking for POI Suggestion
• [cs.IR]All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroom
• [cs.IR]Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
• [cs.IR]Few-Shot Conversational Dense Retrieval
• [cs.IR]Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
• [cs.IR]Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
• [cs.IR]Long Short-Term Temporal Meta-learning in Online Recommendation
• [cs.IR]MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
• [cs.IR]Neural Graph Matching based Collaborative Filtering
• [cs.IR]Passage Retrieval for Outside-Knowledge Visual Question Answering
• [cs.IR]Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities
• [cs.IR]Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
• [cs.IR]UGRec: Modeling Directed and Undirected Relations for Recommendation
• [cs.IR]Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
• [cs.IR]Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
• [cs.IT]A Rate-Distortion Framework for Characterizing Semantic Information
• [cs.IT]A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
• [cs.IT]A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Gradient Descent with Hard Thresholding
• [cs.IT]A class of power maps with boomerang uniformity four
• [cs.IT]Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
• [cs.IT]Complexity-Adaptive Maximum-Likelihood Decoding of Modified -Coset Codes
• [cs.IT]Compound Channel Capacities under Energy Constraints and Application
• [cs.IT]Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
• [cs.IT]Distortion-Based Outer-Bounds for Channels with Rate-Limited Feedback
• [cs.IT]Diversity Analysis of Millimeter-Wave OFDM Massive MIMO Systems
• [cs.IT]Explicit Rate-Optimal Streaming Codes with Smaller Field Size
• [cs.IT]FAID Diversity via Neural Networks
• [cs.IT]Feedback Gains for Gaussian Massive Multiple-Access Channels
• [cs.IT]Generative Mechanisms: The mechanisms that implement codes
• [cs.IT]Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks
• [cs.IT]Learning to Detect an Odd Restless Markov Arm with a Trembling Hand
• [cs.IT]Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications
• [cs.IT]MIMO Terahertz Quantum Key Distribution
• [cs.IT]MmWave MIMO Communication with Semi-Passive RIS: A Low-Complexity Channel Estimation Scheme
• [cs.IT]Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network
• [cs.IT]Necessary and Sufficient Girth Conditions for Tanner Graphs of Quasi-Cyclic LDPC Codes
• [cs.IT]Neural Computation of Capacity Region of Memoryless Multiple Access Channels
• [cs.IT]On Multi-Channel Huffman Codes for Asymmetric-Alphabet Channels
• [cs.IT]On a conjecture on APN permutations
• [cs.IT]On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations
• [cs.IT]RISe of Flight: RIS-Empowered UAV Communications for Robust and Reliable Air-to-Ground Networks
• [cs.IT]Relay Assisted Underlay Cognitive Radio Networks with Multiple Users
• [cs.IT]The Modulo Radon Transform: Theory, Algorithms and Applications
• [cs.IT]The Typical Non-Linear Code over Large Alphabets
• [cs.IT]Tilling of Constellations
• [cs.LG]A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
• [cs.LG]A Bregman Learning Framework for Sparse Neural Networks
• [cs.LG]A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
• [cs.LG]A Simple yet Universal Strategy for Online Convex Optimization
• [cs.LG]A rigorous introduction for linear models
• [cs.LG]Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
• [cs.LG]Accounting for Model Uncertainty in Algorithmic Discrimination
• [cs.LG]Aggregating From Multiple Target-Shifted Sources
• [cs.LG]AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
• [cs.LG]Apply Artificial Neural Network to Solving Manpower Scheduling Problem
• [cs.LG]AutoDebias: Learning to Debias for Recommendation
• [cs.LG]Automated Decision-based Adversarial Attacks
• [cs.LG]BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
• [cs.LG]Bayesian Optimistic Optimisation with Exponentially Decaying Regret
• [cs.LG]Bounding Information Leakage in Machine Learning
• [cs.LG]CASA-B: A Unified Framework of Model-Free Reinforcement Learning
• [cs.LG]Combinatorial Multi-armed Bandits for Resource Allocation
• [cs.LG]Continual Learning via Bit-Level Information Preserving
• [cs.LG]Contrastive Conditional Transport for Representation Learning
• [cs.LG]De-homogenization using Convolutional Neural Networks
• [cs.LG]Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
• [cs.LG]Directional Convergence Analysis under Spherically Symmetric Distribution
• [cs.LG]Do Concept Bottleneck Models Learn as Intended?
• [cs.LG]Dynamic Game Theoretic Neural Optimizer
• [cs.LG]Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
• [cs.LG]Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
• [cs.LG]Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
• [cs.LG]Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
• [cs.LG]Exploiting Path Information for Anchor Based Graph Neural Network
• [cs.LG]Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
• [cs.LG]Fine-Grained -Margin Closed-Form Stabilization of Parametric Hawkes Processes
• [cs.LG]GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers
• [cs.LG]Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
• [cs.LG]Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model
• [cs.LG]Graph Attention Networks with Positional Embeddings
• [cs.LG]Graph Feature Gating Networks
• [cs.LG]HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
• [cs.LG]Heterogeneous Risk Minimization
• [cs.LG]How To Train Your Program
• [cs.LG]Hype
1000
rHyperNetworks for the Design of Antenna Arrays
• [cs.LG]Improving Fairness of AI Systems with Lossless De-biasing
• [cs.LG]In-Hindsight Quantization Range Estimation for Quantized Training
• [cs.LG]Interpretable Mixture Density Estimation by use of Differentiable Tree-module
• [cs.LG]Learning Gradient Fields for Molecular Conformation Generation
• [cs.LG]Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
• [cs.LG]Learning stochastic decision trees
• [cs.LG]Loss Tolerant Federated Learning
• [cs.LG]Loss-Aversively Fair Classification
• [cs.LG]MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors
• [cs.LG]MetaKernel: Learning Variational Random Features with Limited Labels
• [cs.LG]Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil
• [cs.LG]Multimodal and Contrastive Learning for Click Fraud Detection
• [cs.LG]Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
• [cs.LG]Non-Recursive Graph Convolutional Networks
• [cs.LG]On Linear Interpolation in the Latent Space of Deep Generative Models
• [cs.LG]Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
• [cs.LG]Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
• [cs.LG]PIM-DRAM:Accelerating Machine Learning Workloads using Processing in Memory based on DRAM Technology
• [cs.LG]Parameter-free Gradient Temporal Difference Learning
• [cs.LG]Pareto-Optimal Quantized ResNet Is Mostly 4-bit
• [cs.LG]Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees
• [cs.LG]Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility
• [cs.LG]Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
• [cs.LG]Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions
• [cs.LG]RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
• [cs.LG]RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
• [cs.LG]Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
• [cs.LG]Reinforcement Learning with Expert Trajectory For Quantitative Trading
• [cs.LG]Robust Graph Learning Under Wasserstein Uncertainty
• [cs.LG]Segmenting Hybrid Trajectories using Latent ODEs
• [cs.LG]Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
• [cs.LG]Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
• [cs.LG]Stochastic Multi-Armed Bandits with Control Variates
• [cs.LG]Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback
• [cs.LG]Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics
• [cs.LG]The Modern Mathematics of Deep Learning
• [cs.LG]The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting
• [cs.LG]The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
• [cs.LG]Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
• [cs.LG]Transitioning from Real to Synthetic data: Quantifying the bias in model
• [cs.LG]Understanding Neural Networks with Logarithm Determinant Entropy Estimator
• [cs.LG]Uniform Convergence, Adversarial Spheres and a Simple Remedy
• [cs.LG]Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space
• [cs.LG]Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
• [cs.LG]Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
• [cs.MA]Improving Multi-agent Coordination by Learning to Estimate Contention
• [cs.MA]Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies
• [cs.NE]A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms
• [cs.NE]An Analysis of Phenotypic Diversity in Multi-Solution Optimization
• [cs.NE]Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
• [cs.NE]Designing Air Flow with Surrogate-assisted Phenotypic Niching
• [cs.NE]Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
• [cs.NE]In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
• [cs.NE]Overcoming Complexity Catastrophe: An Algorithm for Beneficial Far-Reaching Adaptation under High Complexity
• [cs.NI]Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
• [cs.PL]How could Neural Networks understand Programs?
• [cs.RO]: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms
• [cs.RO]Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training
• [cs.RO]Euclidean Distance-Optimal Post-Processing of Grid-Based Paths
• [cs.RO]FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
• [cs.RO]Human Gait State Prediction Using Cellular Automata and Classification Using ELM
• [cs.RO]Learning Image Attacks toward Vision Guided Autonomous Vehicles
• [cs.RO]Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry
• [cs.RO]NMPC trajectory planner for urban autonomous driving
• [cs.RO]Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
• [cs.RO]ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
• [cs.RO]Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance
• [cs.RO]Safety of the Intended Driving Behavior Using Rulebooks
• [cs.RO]Stability Constrained Mobile Manipulation Planning on Rough Terrain
• [cs.RO]Team Orienteering Coverage Planning with Uncertain Reward
• [cs.RO]The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
• [cs.RO]Towards Robust One-shot Task Execution using Knowledge Graph Embeddings
• [cs.RO]VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
• [cs.SD]A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
• [cs.SD]Learning Robust Latent Representations for Controllable Speech Synthesis
• [cs.SD]Multi-modal Conditional Bounding Box Regression for Music Score Following
• [cs.SD]MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE
• [cs.SD]Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method
• [cs.SE]A framework for the automation of testing computer vision systems
• [cs.SE]Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
• [cs.SE]Test Suites as a Source of Training Data for Static Analysis Alert Classifiers
• [cs.SI]Approximate Fréchet Mean for Data Sets of Sparse Graphs
• [cs.SI]Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches
• [cs.SI]On the Hardness of Opinion Dynamics Optimization with -Budget on Varying Susceptibility to Persuasion
• [cs.SI]Perturbative expansion of the fundamental equation of online user dynamics for describing changes in eigenfrequencies
• [econ.EM]Efficient Peer Effects Estimators with Random Group Effects
• [econ.EM]The Local Approach to Causal Inference under Network Interference
• [econ.GN]Investigating Socio-spatial Differences between Solo Ridehailing and Pooled Rides in Diverse Communities
• [eess.AS]Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation
• [eess.AS]Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection
• [eess.IV]Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks
• [eess.IV]Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network
• [eess.IV]Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
• [eess.IV]DiagSet: a dataset for prostate cancer histopathological image classification
• [eess.IV]EZCrop: Energy-Zoned Channels for Robust Output Pruning
• [eess.IV]Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning
• [eess.IV]Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
• [eess.IV]Weakly supervised pan-cancer segmentation tool
• [eess.SP]Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
• [eess.SP]AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning
• [eess.SP]ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting
• [eess.SP]Deep learning of nanopore sensing signals using a bi-path network
• [eess.SP]Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees
• [eess.SP]Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent
• [eess.SP]Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
• [eess.SP]Study of List-Based OMP and an Enhanced Model for Direction Finding with Non-Uniform Arrays
• [eess.SY]Identification of the nonlinear steering dynamics of an autonomous vehicle
• [mat
1000
h.ST]Adaptive estimation in symmetric location model under log-concavity constraint
• [math.AG]Galois/monodromy groups for decomposing minimal problems in 3D reconstruction
• [math.AG]Rational points of lattice ideals on a toric variety and toric codes
• [math.MG]Bounds for the sum of distances of spherical sets of small size
• [math.NA]ReLU Deep Neural Networks from the Hierarchical Basis Perspective
• [math.OC]Scalable Projection-Free Optimization
• [math.OC]Surrogate-Based Simulation Optimization
• [math.ST]Some multivariate goodness of fit tests based on data depth
• [math.ST]Statistical inference for continuous-time locally stationary processes using stationary approximations
• [physics.bio-ph]tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
• [physics.flu-dyn]Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening
• [physics.flu-dyn]Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
• [physics.soc-ph]Simplicial contagion in temporal higher-order networks
• [q-bio.BM]MEGADOCK-GUI: a GUI-based complete cross-docking tool for exploring protein-protein interactions
• [q-fin.TR]MCTG:Multi-frequency continuous-share trading algorithm with GARCH based on deep reinforcement learning
• [quant-ph]Key Assistance, Key Agreement, and Layered Secrecy for Bosonic Broadcast Channels
• [quant-ph]Quantum Machine Learning For Classical Data
• [quant-ph]Towards a functorial description of quantum relative entropy
• [stat.AP]Estimating the Causal Effects of Cruise Traffic on Air Pollution using Randomization-Based Inference
• [stat.AP]Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data
• [stat.AP]Probabilistic Modeling of Hurricane Wind-Induced Damage in Infrastructure Systems
• [stat.AP]Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems
• [stat.ME]A defective cure rate quantile regression model for male breast cancer data
• [stat.ME]Adjusting for Unmeasured Confounding in Marginal Structural Models with Propensity-Score Fixed Effects
• [stat.ME]An Objective Prior from a Scoring Rule
• [stat.ME]Bagging cross-validated bandwidth selection in nonparametric regression estimation with applications to large-sized samples
• [stat.ME]Bayesian Modeling for Exposure Response Curve via Gaussian Processes: Causal Effects of Exposure to Air Pollution on Health Outcomes
• [stat.ME]Causal Inference under Network Interference with Noise
• [stat.ME]Causal identification of infectious disease intervention effects in a clustered population
• [stat.ME]Is there Anisotropy in Structural Bias?
• [stat.ME]Latent Cross-population Dynamic Time-series Analysis of High-dimensional Neural Recordings
• [stat.ME]Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
• [stat.ME]Modelling Point Referenced Spatial Count Data: A Poisson Process Approach
• [stat.ME]On projection methods for functional time series forecasting
• [stat.ME]Search Algorithms and Loss Functions for Bayesian Clustering
• [stat.ME]Semiparametric Volatility Model with Varying Frequencies
• [stat.ME]Statistical Assessment of Replicability via Bayesian Model Criticism
• [stat.ME]Stein’s Method Meets Statistics: A Review of Some Recent Developments
• [stat.ME]The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data
• [stat.ME]Trustworthiness of statistical inference
• [stat.ML]A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
• [stat.ML]Adaptive Latent Space Tuning for Non-Stationary Distributions
• [stat.ML]Bayesian Kernelised Test of (In)dependence with Mixed-type Variables
• [stat.ML]Deep Neural Networks as Point Estimates for Deep Gaussian Processes
• [stat.ML]Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds
• [stat.ML]Latency Analysis of Consortium Blockchained Federated Learning
• [stat.ML]Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
• [stat.ML]Non-asymptotic Performances of Robust Markov Decision Processes
• [stat.ML]Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
• [stat.ML]SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
• [stat.ML]T-EMDE: Sketching-based global similarity for cross-modal retrieval
• [stat.OT]Comparative analysis of the original and amplitude permutations

·····································

• [cond-mat.stat-mech]Boltzmann machines as two-dimensional tensor networks
Sujie Li, Feng Pan, Pengfei Zhou, Pan Zhang
http://arxiv.org/abs/2105.04130v1

• [cond-mat.stat-mech]Reinforcement learning of rare diffusive dynamics
Avishek Das, Dominic C. Rose, Juan P. Garrahan, David T. Limmer
http://arxiv.org/abs/2105.04321v1

• [cs.AI]An Intelligent Model for Solving Manpower Scheduling Problems
Lingyu Zhang, Tianyu Liu, Yunhai Wang
http://arxiv.org/abs/2105.03540v1

• [cs.AI]Business Entity Matching with Siamese Graph Convolutional Networks
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin
http://arxiv.org/abs/2105.03701v1

• [cs.AI]CREPO: An Open Repository to Benchmark Credal Network Algorithms
Rafael Cabañas, Alessandro Antonucci
http://arxiv.org/abs/2105.04158v1

• [cs.AI]Exploring open-ended gameplay features with Micro RollerCoaster Tycoon
Michael Cerny Green, Victoria Yen, Sam Earle, Dipika Rajesh, Maria Edwards, L. B. Soros
http://arxiv.org/abs/2105.04342v1

• [cs.AI]Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version
Dominik Drexler, Jendrik Seipp, Hector Geffner
http://arxiv.org/abs/2105.04250v1

• [cs.AI]Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper
Yash Pratyush Sinha, Pranshu Malviya, Rupaj Kumar Nayak
http://arxiv.org/abs/2105.04120v1

• [cs.AI]On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore, Nicola Paoletti, Marta Kwiatkowska
http://arxiv.org/abs/2105.03640v1

• [cs.AI]PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning
Hanqing Wang, Zan Wang, Wei Liang, Lap-Fai Yu
http://arxiv.org/abs/2105.04088v1

• [cs.AI]Swarm Differential Privacy for Purpose Driven Data-Information-Knowledge-Wisdom Architecture
Yingbo Li, Yucong Duan, Zakaria Maama, Haoyang Che, Anamaria-Beatrice Spulber, Stelios Fuentes
http://arxiv.org/abs/2105.04045v1

• [cs.AI]Towards Benchmarking the Utility of Explanations for Model Debugging
Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand
http://arxiv.org/abs/2105.04505v1

• [cs.AR]Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture
Juan Gómez-Luna, Izzat El Hajj, Ivan Fernandez, Christina Giannoula, Geraldo F. Oliveira, Onur Mutlu
http://arxiv.org/abs/2105.03814v1

• [cs.AR]DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks
Geraldo F. Oliveira, Juan Gómez-Luna, Lois Orosa, Saugata Ghose, Nandita Vijaykumar, Ivan Fernandez, Mohammad Sadrosadati, Onur Mutlu
http://arxiv.org/abs/2105.03725v1

• [cs.CC]Super Solutions of the Model RB
Guangyan Zhou, Wei Xu
http://arxiv.org/abs/2105.03831v1

• [cs.CE]SimJEB: Simulated Jet Engine Bracket Dataset
Eamon Whalen, Azariah Beyene, Caitlin Mueller
http://arxiv.org/abs/2105.03534v1

• [cs.CL]Advising Agent for Service-Providing Live-Chat Operators
Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus
http://arxiv.org/abs/2105.03986v1

• [cs.CL]Analyzing Online Political Advertisements
Danae Sánchez Villegas, Saeid Mokaram, Nikolaos Aletras
http://arxiv.org/abs/2105.04047v1

• [cs.CL]Certified Robustness to Text Adversarial Attacks by Randomized [MASK]**
Jiehang Zeng, Xiaoqing Zheng, Jianhan Xu, Linyang Li, Liping Yuan, Xuanjing Huang
http://arxiv.org/abs/2105.03743v1

• [cs.CL]Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?
Puhai Yang, Heyan Huang, Xian-Ling Mao
http://arxiv.org/abs/2105.03571v1

• [cs.CL]Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
Zihan Li
2d8
u, Genta Indra Winata, Pascale Fung
http://arxiv.org/abs/2105.03953v1

• [cs.CL]Continuous representations of intents for dialogue systems
Sindre André Jacobsen, Anton Ragni
http://arxiv.org/abs/2105.03716v1

• [cs.CL]D2S: Document-to-Slide Generation Via Query-Based Text Summarization
Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy X. R. Wang
http://arxiv.org/abs/2105.03664v1

• [cs.CL]DefSent: Sentence Embeddings using Definition Sentences
Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
http://arxiv.org/abs/2105.04339v1

• [cs.CL]Dispatcher: A Message-Passing Approach To Language Modelling
Alberto Cetoli
http://arxiv.org/abs/2105.03994v1

• [cs.CL]DocOIE: A Document-level Context-Aware Dataset for OpenIE
Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li
http://arxiv.org/abs/2105.04271v1

• [cs.CL]DocSCAN: Unsupervised Text Classification via Learning from Neighbors
Dominik Stammbach, Elliott Ash
http://arxiv.org/abs/2105.04024v1

• [cs.CL]Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
http://arxiv.org/abs/2105.03458v1

• [cs.CL]Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya V Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz
http://arxiv.org/abs/2105.03484v1

• [cs.CL]Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning
Benjamin Minixhofer, Milan Gritta, Ignacio Iacobacci
http://arxiv.org/abs/2105.03791v1

• [cs.CL]ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang
http://arxiv.org/abs/2105.04126v1

• [cs.CL]FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontanon
http://arxiv.org/abs/2105.03824v1

• [cs.CL]Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
Deniz Beser
http://arxiv.org/abs/2105.03710v1

• [cs.CL]FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Ed Lin, Tie-Yan Liu
http://arxiv.org/abs/2105.03842v1

• [cs.CL]Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
Giulio Zhou, Gerasimos Lampouras
http://arxiv.org/abs/2105.03432v1

• [cs.CL]High-performance symbolic-numerics via multiple dispatch
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwozdz, Viral B. Shah, Christopher Rackauckas
http://arxiv.org/abs/2105.03949v1

• [cs.CL]Improving Cross-Lingual Reading Comprehension with Self-Training
Wei-Cheng Huang, Chien-yu Huang, Hung-yi Lee
http://arxiv.org/abs/2105.03627v1

• [cs.CL]Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
http://arxiv.org/abs/2105.03654v1

• [cs.CL]Improving Patent Mining and Relevance Classification using Transformers
Théo Ding, Walter Vermeiren, Sylvie Ranwez, Binbin Xu
http://arxiv.org/abs/2105.03979v1

• [cs.CL]Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu
http://arxiv.org/abs/2105.04165v1

• [cs.CL]Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Anne Beyer, Sharid Loáiciga, David Schlangen
http://arxiv.org/abs/2105.03495v1

• [cs.CL]Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
http://arxiv.org/abs/2105.03815v1

• [cs.CL]Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, Maosong Sun
http://arxiv.org/abs/2105.03887v1

• [cs.CL]Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, Rajen Subba
http://arxiv.org/abs/2105.04222v1

• [cs.CL]Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan
http://arxiv.org/abs/2105.03659v1

• [cs.CL]Long-Span Dependencies in Transformer-based Summarization Systems
Potsawee Manakul, Mark J. F. Gales
http://arxiv.org/abs/2105.03801v1

• [cs.CL]Measuring and Increasing Context Usage in Context-Aware Machine Translation
Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins
http://arxiv.org/abs/2105.03482v1

• [cs.CL]NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
Hossein Basafa, Sajad Movahedi, Ali Ebrahimi, Azadeh Shakery, Heshaam Faili
http://arxiv.org/abs/2105.03775v1

• [cs.CL]Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua
http://arxiv.org/abs/2105.04443v1

• [cs.CL]Neural Text Generation with Part-of-Speech Guided Softmax
Zhixian Yang, Xiaojun Wan
http://arxiv.org/abs/2105.03641v1

• [cs.CL]Poolingformer: Long Document Modeling with Pooling Attention
Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen
http://arxiv.org/abs/2105.04371v1

• [cs.CL]REPT: Bridging Language Models and Machine Reading Comprehensionvia Retrieval-Based Pre-training
Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie
http://arxiv.org/abs/2105.04201v1

• [cs.CL]ReadTwice: Reading Very Large Documents with Memories
Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
http://arxiv.org/abs/2105.04241v1

• [cs.CL]Recent Advances in Deep Learning-based Dialogue Systems
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria
http://arxiv.org/abs/2105.04387v1

• [cs.CL]SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu
http://arxiv.org/abs/2105.04098v1

• [cs.CL]Self-Guided Curriculum Learning for Neural Machine Translation
Lei Zhou, Liang Ding, Kevin Duh, Ryohei Sasano, Koichi Takeda
http://arxiv.org/abs/2105.04475v1

• [cs.CL]Similarities between Arabic Dialects: Investigating Geographical Proximity
Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary
http://arxiv.org/abs/2105.04221v1

• [cs.CL]Societal Biases in Language Generation: Progress and Challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
http://arxiv.org/abs/2105.04054v1

• [cs.CL]UPC’s Speech Translation System for IWSLT 2021
Gerard I. Gállego, Ioannis Tsiamas, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà
http://arxiv.org/abs/2105.04512v1

• [cs.CL]Understanding by Understanding Not: Modeling Negation in Language Models
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R Devon Hjelm, Alessandro Sordoni, Aaron Courville
http://arxiv.org/abs/2105.03519v1

• [cs.CL]Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, Dragomir Radev
http://arxiv.org/abs/2105.03505v1

• [cs.CL]gComm: An environment for investigating generalization in Grounded Language Acquisition
Rishi Hazra, Sonu Dixit
http://arxiv.org/abs/2105.03943v1

• [cs.CR]ADASYN-Random Forest Based Intrusion Detection Model
Zhewei Chen, Linyue Zhou, Wenwen Yu
http://arxiv.org/abs/2105.04301v1

• [cs.CR]De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu
http://arxiv.org/abs/2105.03592v1

• [cs.CR]Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang
http://arxiv.org/abs/2105.03867v1

• [cs.CR]Mental Models of Adversarial Machine Learning
Lukas Bieringer, Kathrin Grosse, Michael Backes, Katharina Krombholz
http://arxiv.org/abs/2105.03726v1

• [cs.CR]RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Interne
5b9a
t of Things
Huming Qiu, Hua Ma, Zhi Zhang, Yifeng Zheng, Anmin Fu, Pan Zhou, Yansong Gao, Derek Abbott
http://arxiv.org/abs/2105.03822v1

• [cs.CR]SIRNN: A Math Library for Secure RNN Inference
Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi
http://arxiv.org/abs/2105.04236v1

• [cs.CR]Tamper Detection against Unitary Operators
Naresh Goud Boddu, Upendra S. Kapshikar
http://arxiv.org/abs/2105.04487v1

• [cs.CV]A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning
Kartik Arora, Ajul Raj, Arun Goel, Seba Susan
http://arxiv.org/abs/2105.03826v1

• [cs.CV]A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval
Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir
http://arxiv.org/abs/2105.03647v1

• [cs.CV]ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
Yuliang Liu, Chunhua Shen, Lianwen Jin, Tong He, Peng Chen, Chongyu Liu, Hao Chen
http://arxiv.org/abs/2105.03620v1

• [cs.CV]AFINet: Attentive Feature Integration Networks for Image Classification
Xinglin Pan, Jing Xu, Yu Pan, liangjian Wen, WenXiang Lin, Kun Bai, Zenglin Xu
http://arxiv.org/abs/2105.04354v1

• [cs.CV]Action Shuffling for Weakly Supervised Temporal Localization
Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Xinchu Shi
http://arxiv.org/abs/2105.04208v1

• [cs.CV]Active Terahertz Imaging Dataset for Concealed Object Detection
Dong Liang, Fei Xue, Ling Li
http://arxiv.org/abs/2105.03677v1

• [cs.CV]An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen
http://arxiv.org/abs/2105.04132v1

• [cs.CV]An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning
D. C. Schedl, I. Kurmi, O. Bimber
http://arxiv.org/abs/2105.04328v1

• [cs.CV]An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery
Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Nesrine Atitallah, Henda Ben Ghézala
http://arxiv.org/abs/2105.04430v1

• [cs.CV]An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images
Julian D. Gilbey, Carola-Bibiane Schönlieb
http://arxiv.org/abs/2105.04515v1

• [cs.CV]Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg
http://arxiv.org/abs/2105.03812v1

• [cs.CV]AnomalyHop: An SSL-based Image Anomaly Localization Method
Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C. -C. Jay Kuo
http://arxiv.org/abs/2105.03797v1

• [cs.CV]Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, Hongdong Li
http://arxiv.org/abs/2105.03830v1

• [cs.CV]Binarized Weight Error Networks With a Transition Regularization Term
Savas Ozkan, Gozde Bozdagi Akar
http://arxiv.org/abs/2105.03897v1

• [cs.CV]Boosting Semi-Supervised Face Recognition with Noise Robustness
Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei
http://arxiv.org/abs/2105.04431v1

• [cs.CV]CASIA-Face-Africa: A Large-scale African Face Image Database
Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun
http://arxiv.org/abs/2105.03632v1

• [cs.CV]CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation
Ange Lou, Shuyue Guan, Murray Loew
http://arxiv.org/abs/2105.04075v1

• [cs.CV]Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye
http://arxiv.org/abs/2105.03889v1

• [cs.CV]Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella Atkins, Matthew Johnson Roberson, Ram Vasudevan, Xiaoxiao Du
http://arxiv.org/abs/2105.04133v1

• [cs.CV]Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting
Jasper Brown, Salah Sukkarieh
http://arxiv.org/abs/2105.03832v1

• [cs.CV]Deep feature selection-and-fusion for RGB-D semantic segmentation
Yuejiao Su, Yuan Yuan, Zhiyu Jiang
http://arxiv.org/abs/2105.04102v1

• [cs.CV]Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou
http://arxiv.org/abs/2105.03790v1

• [cs.CV]DocReader: Bounding-Box Free Training of a Document Information Extraction Model
Shachar Klaiman, Marius Lehne
http://arxiv.org/abs/2105.04313v1

• [cs.CV]Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
Wei Lou, Lei Xun, Amin Sabet, Jia Bi, Jonathon Hare, Geoff V. Merrett
http://arxiv.org/abs/2105.03596v1

• [cs.CV]Elastic Weight Consolidation (EWC): Nuts and Bolts
Abhishek Aich
http://arxiv.org/abs/2105.04093v1

• [cs.CV]End-to-End Optical Character Recognition for Bengali Handwritten Words
Farisa Benta Safir, Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, Md. Abdul Hamid
http://arxiv.org/abs/2105.04020v1

• [cs.CV]Estimation of 3D Human Pose Using Prior Knowledge
Shu Chen, Lei Zhang, Beiji Zou
http://arxiv.org/abs/2105.03807v1

• [cs.CV]Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur
http://arxiv.org/abs/2105.04216v1

• [cs.CV]Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
http://arxiv.org/abs/2105.04128v1

• [cs.CV]Facial Emotion Recognition: State of the Art Performance on FER2013
Yousif Khaireddin, Zhuofa Chen
http://arxiv.org/abs/2105.03588v1

• [cs.CV]Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture
Md Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad
http://arxiv.org/abs/2105.03934v1

• [cs.CV]Good Practices and A Strong Baseline for Traffic Anomaly Detection
Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen
http://arxiv.org/abs/2105.03827v1

• [cs.CV]ICON: Learning Regular Maps Through Inverse Consistency
Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Marc Niethammer
http://arxiv.org/abs/2105.04459v1

• [cs.CV]Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms
Lei Xun, Long Tran-Thanh, Bashir M Al-Hashimi, Geoff V. Merrett
http://arxiv.org/abs/2105.03600v1

• [cs.CV]Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester
http://arxiv.org/abs/2105.03891v1

• [cs.CV]KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation
Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song
http://arxiv.org/abs/2105.04181v1

• [cs.CV]Learning to Predict Repeatability of Interest Points
Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
http://arxiv.org/abs/2105.03578v1

• [cs.CV]MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation
Rutu Gandhi, Yi Hong
http://arxiv.org/abs/2105.04508v1

• [cs.CV]Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
http://arxiv.org/abs/2105.04143v1

• [cs.CV]Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi, Dan Zeng, Yichun Tai, Hang Du, Yibo Hu, Tao Mei
http://arxiv.org/abs/2105.04113v1

• [cs.CV]Optimising Resource Management for Embedded Machine Learning
Lei Xun, Long Tran-Thanh, Bashir M Al-Hashimi, Geoff V. Merrett
http://arxiv.org/abs/2105.03608v1

• [cs.CV]Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer, Volker Steinhage
http://arxiv.org/abs/2105.04244v1

• [cs.CV]PCA Event-Based Otical Flow for Visual Odometry
Mahmoud Z. Khairallah, Fabien Bonardi, David Roussel, Samia Bouchafa
http://arxiv.org/abs/2105.03760v1

• [cs.CV]PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data
Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller
http://arxiv.org/abs/2105.04169v1

• [cs.CV]Preserving Privacy in Human-Motion Affect Recognition
Matthew Malek-Podjaski, Fani Deligianni
http://arxiv.org/abs/2105.03958v1

• [cs.CV]Primitive Representation Learning for Scene Text Recognition
Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao
http://arxiv.org/abs/2105.04286v1

• [cs.CV]Reconstructive Sequence-Graph Network for Video Summarization
Bin Zhao, Haopeng Li, Xiaoqiang Lu, Xuelong Li
http://arxiv.org/abs/2105.04066v1

• [cs.CV]RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation
En Yu, Zhuoling Li, Shoudong Han, Hongwei Wang
http://arxiv.org/abs/2105.04322v1

• [cs.CV]Robust Training Using Natural Transformation
Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore
http://arxiv.org/abs/2105.04070v1

• [cs.CV]SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem
http://arxiv.org/abs/2105.04447v1

• [cs.CV]Seismic Fault Segmentation via 3D-CNN Training by a Few 2D Slices Labels
YiMin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi
http://arxiv.org/abs/2105.03857v1

• [cs.CV]Selective Probabilistic Classifier Based on Hypothesis Testing
Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen
http://arxiv.org/abs/2105.03876v1

• [cs.CV]Self-Supervised Adversarial Example Detection by Disentangled Representation
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou
http://arxiv.org/abs/2105.03689v1

• [cs.CV]Self-Supervised Learning with Swin Transformers
Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu
http://arxiv.org/abs/2105.04553v1

• [cs.CV]Self-supervised spectral matching network for hyperspectral target detection
Can Yao, Yuan Yuan, Zhiyu Jiang
http://arxiv.org/abs/2105.04078v1

• [cs.CV]Slash or burn: Power line and vegetation classification for wildfire prevention
Austin Park, Farzaneh Rajabi, Ross Weber
http://arxiv.org/abs/2105.03804v1

• [cs.CV]Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
Mathew Monfort, SouYoung Jin, Alexander Liu, David Harwath, Rogerio Feris, James Glass, Aude Oliva
http://arxiv.org/abs/2105.04489v1

• [cs.CV]Stochastic Image-to-Video Synthesis using cINNs
Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
http://arxiv.org/abs/2105.04551v1

• [cs.CV]Temporal-Spatial Feature Pyramid for Video Saliency Detection
Qinyao Chang, Shiping Zhu, Lanyun Zhu
http://arxiv.org/abs/2105.04213v1

• [cs.CV]TextAdaIN: Fine-Grained AdaIN for Robust Text Recognition
Oren Nuriel, Sharon Fogel, Ron Litman
http://arxiv.org/abs/2105.03906v1

• [cs.CV]TrTr: Visual Tracking with Transformer
Moju Zhao, Kei Okada, Masayuki Inaba
http://arxiv.org/abs/2105.03817v1

• [cs.CV]Trajectory Prediction for Autonomous Driving with Topometric Map
Jiaolong Xu, Liang Xiao, Dawei Zhao, Yiming Nie, Bin Dai
http://arxiv.org/abs/2105.03869v1

• [cs.CV]Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
Anadi Chaman, Ivan Dokmanić
http://arxiv.org/abs/2105.04040v1

• [cs.CV]Unsupervised Human Pose Estimation through Transforming Shape Templates
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
http://arxiv.org/abs/2105.04154v1

• [cs.CV]Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow
Hongyong Wang, Xinjian Zhang, Su Yang, Weishan Zhang
http://arxiv.org/abs/2105.04302v1

• [cs.CV]Visual Grounding with Transformers
Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang
http://arxiv.org/abs/2105.04281v1

• [cs.CV]You Only Learn One Representation: Unified Network for Multiple Tasks
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
http://arxiv.org/abs/2105.04206v1

• [cs.CV]e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
http://arxiv.org/abs/2105.03761v1

• [cs.CY]CASTing a Net: Supporting Teachers with Search Technology
Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera
http://arxiv.org/abs/2105.03456v1

• [cs.CY]Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem
Kenneth Joseph, Jonathan Howard Morgan
http://arxiv.org/abs/2105.04462v1

• [cs.CY]Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation
Jacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph
http://arxiv.org/abs/2105.04452v1

• [cs.DB]G-Tran: Making Distributed Graph Transactions Fast
Hongzhi Chen, Changji Li, Chenguang Zheng, Chenghuan Huang, Juncheng Fang, James Cheng, Jian Zhang
http://arxiv.org/abs/2105.04449v1

• [cs.DC]Agreement in the presence of disagreeing rational players: The Huntsman Protocol
Alejandro Ranchal-Pedrosa, Vincent Gramoli
http://arxiv.org/abs/2105.04357v1

• [cs.DC]Blockchain Systems, Technologies and Applications: A Methodology Perspective
Bin Cao, Zixin Wang, Long Zhang, Daquan Feng, Mugen Peng, Lei Zhang
http://arxiv.org/abs/2105.03572v1

• [cs.DC]Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
Guangyao Zhou, Wenhong Tian, Rajkumar Buyya
http://arxiv.org/abs/2105.04086v1

• [cs.DC]Fast Neighborhood Rendezvous
Ryota Eguchi, Naoki Kitamura, Taisuke Izumi
http://arxiv.org/abs/2105.03638v1

• [cs.DC]Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine
Jingji Chen, Xuehai Qian
http://arxiv.org/abs/2105.03789v1

• [cs.DC]**Survey of Parallel A in Rust
Brett Fazio, Ellie Kozlowski, Dylan Ochoa, Blake Robertson, Idel Martinez
http://arxiv.org/abs/2105.03573v1

• [cs.DC]The Pony Express Communication Problem
Jared Coleman, Evangelos Kranakis, Danny Krizanc, Oscar Morales Ponce
http://arxiv.org/abs/2105.03545v1

• [cs.GT]Applications of Auction and Mechanism Design in Edge Computing: A Survey
Houming Qiu, Kun Zhu, Nguyen Cong Luong, Changyan Yi, Dusit Niyato, Dong In Kim
http://arxiv.org/abs/2105.03559v1

• [cs.HC]Designing a Web Application for Simple and Collaborative Video Annotation That Meets Teaching Routines and Educational Requirements
Daniel Klug, Elke Schlote
http://arxiv.org/abs/2105.04022v1

• [cs.IR]A Probabilistic Approach to Personalize Type-based Facet Ranking for POI Suggestion
Esraa Ali, Annalina Caputo, Séamus Lawless, Owen Conlan
http://arxiv.org/abs/2105.04266v1

• [cs.IR]All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroom
Emiliana Murgia, Monica Landoni, Theo Huibers, Maria Soledad Pera
http://arxiv.org/abs/2105.03708v1

• [cs.IR]Click-Through Rate Prediction Using Graph Neural Networks and Online Learning
Farzaneh Rajabi, Jack Siyuan He
http://arxiv.org/abs/2105.03811v1

• [cs.IR]Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu
http://arxiv.org/abs/2105.04166v1

• [cs.IR]Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu
http://arxiv.org/abs/2105.03599v1

• [cs.IR]Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang
http://arxiv.org/abs/2105.03933v1

• [cs.IR]Long Short-Term Temporal Meta-learning in Online Recommendation
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
http://arxiv.org/abs/2105.03686v1

• [cs.IR]MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin
http://arxiv.org/abs/2105.04021v1

• [cs.IR]Neural Graph Matching based Collaborative Filtering
Yixin Su, Rui Zhang, Sarah Erfani, Junhao Gan
http://arxiv.org/abs/2105.04067v1

• [cs.IR]Passage Retrieval for Outside-Knowledge Visual Question Answering
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik Learned-Miller
http://arxiv.org/abs/2105.03938v1

• [cs.IR]Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities
Iacopo Vagliano, Lukas Galke, Ansgar Scherp
http://arxiv.org/abs/2105.04376v1

• [cs.IR]Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
http://arxiv.org/abs/2105.03748v1

• [cs.IR]UGRec: Modeling Directed and Undirected Relations for Recommendation
Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li
http://arxiv.org/abs/2105.04183v1

• [cs.IR]Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly
http://arxiv.org/abs/2105.03983v1

• [cs.IR]Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
KayYen Wong, Miriam Redi, Diego Saez-Trumper
http://arxiv.org/abs/2105.04117v1

• [cs.IT]A Rate-Distortion Framework for Characterizing Semantic Information
Jiakun Liu, Wenyi Zhang, H. Vincent Poor
http://arxiv.org/abs/2105.04278v1

• [cs.IT]A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition
Patricia Wollstadt, Sebastian Schmitt, Michael Wibral
http://arxiv.org/abs/2105.04187v1

• [cs.IT]A Sharp Analysis of Covariate Adjusted Precision Matrix Estimation via Alternating Gradient Descent with Hard Thresholding
Xiao Lv, Wei Cui, Yulong Liu
http://arxiv.org/abs/2105.04157v1

• [cs.IT]A class of power maps with boomerang uniformity four
Sartaj Ul Hasan, Mohit Pal, Pantelimon Stanica
http://arxiv.org/abs/2105.04284v1

• [cs.IT]Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song
http://arxiv.org/abs/2105.03631v1

• [cs.IT]Complexity-Adaptive Maximum-Likelihood Decoding of Modified -Coset Codes
Peihong Yuan, Mustafa Cemil Coşkun
http://arxiv.org/abs/2105.04048v1

• [cs.IT]Compound Channel Capacities under Energy Constraints and Application
Andrea Cacioppo, Janis Nötzel, Matteo Rosati
http://arxiv.org/abs/2105.04274v1

• [cs.IT]Delay-Tolerant Constrained OCO with Application to Network Resource Allocation
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid
http://arxiv.org/abs/2105.04005v1

• [cs.IT]Distortion-Based Outer-Bounds for Channels with Rate-Limited Feedback
Alireza Vahid
http://arxiv.org/abs/2105.03581v1

• [cs.IT]Diversity Analysis of Millimeter-Wave OFDM Massive MIMO Systems
Sadjad Sedighi, Ender Ayanoglu
http://arxiv.org/abs/2105.04091v1

• [cs.IT]Explicit Rate-Optimal Streaming Codes with Smaller Field Size
Myna Vajha, Vinayak Ramkumar, M. Nikhil Krishnan, P. Vijay Kumar
http://arxiv.org/abs/2105.04432v1

• [cs.IT]FAID Diversity via Neural Networks
Xin Xiao, Nithin Raveendran, Bane Vasic, Shu Lin, Ravi Tandon
http://arxiv.org/abs/2105.04118v1

• [cs.IT]Feedback Gains for Gaussian Massive Multiple-Access Channels
Gerhard Kramer
http://arxiv.org/abs/2105.03901v1

• [cs.IT]Generative Mechanisms: The mechanisms that implement codes
David Ellerman
http://arxiv.org/abs/2105.03907v1

• [cs.IT]Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks
Jun Wang, Ying-Chang Liang, Jingon Joung, Xiaojun Yuan, Xinguo Wang
http://arxiv.org/abs/2105.03577v1

• [cs.IT]Learning to Detect an Odd Restless Markov Arm with a Trembling Hand
P. N. Karthik, Rajesh Sundaresan
http://arxiv.org/abs/2105.03603v1

• [cs.IT]Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications
Wenjin Wang, Tingting Chen, Rui Ding, Gonzalo Seco-Granados, Li You, Xiqi Gao
http://arxiv.org/abs/2105.03858v1

• [cs.IT]MIMO Terahertz Quantum Key Distribution
Neel Kanth Kundu, Soumya P. Dash, Matthew R. McKay, Ranjan K. Mallik
http://arxiv.org/abs/2105.03642v1

• [cs.IT]MmWave MIMO Communication with Semi-Passive RIS: A Low-Complexity Channel Estimation Scheme
Jiangfeng Hu, Haifan Yin, Emil Björnson
http://arxiv.org/abs/2105.04107v1

• [cs.IT]Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network
Ziyuan Sha, Siyu Chen, Zhaocheng Wang
http://arxiv.org/abs/2105.04138v1

• [cs.IT]Necessary and Sufficient Girth Conditions for Tanner Graphs of Quasi-Cyclic LDPC Codes
Roxana Smarandache, David G. M. Mitchell
http://arxiv.org/abs/2105.03462v1

• [cs.IT]Neural Computation of Capacity Region of Memoryless Multiple Access Channels
Farhad Mirkarimi, Nariman Farsad
http://arxiv.org/abs/2105.04453v1

• [cs.IT]On Multi-Channel Huffman Codes for Asymmetric-Alphabet Channels
Hoover H. F. Yin, Xishi Wang, Ka Hei Ng, Russell W. F. Lai, Lucien K. L. Ng, Jack P. K. Ma
http://arxiv.org/abs/2105.03606v1

• [cs.IT]On a conjecture on APN permutations
Daniele Bartoli, Marco Timpanella
http://arxiv.org/abs/2105.03702v1

• [cs.IT]On the Distribution of the Information Density of Gaussian Random Vectors: Explicit Formulas and Tight Approximations
Jonathan Huffmann, Martin Mittelbach
http://arxiv.org/abs/2105.03925v1

• [cs.IT]RISe of Flight: RIS-Empowered UAV Communications for Robust and Reliable Air-to-Ground Networks
Placido Mursia, Francesco Devoti, Vincenzo Sciancalepore, Xavier Costa-Pérez
http://arxiv.org/abs/2105.03636v1

• [cs.IT]Relay Assisted Underlay Cognitive Radio Networks with Multiple Users
Lanwei Zhang, Rajitha Senanayake, Saman Atapattu, Jamie Evans
http://arxiv.org/abs/2105.03589v1

• [cs.IT]The Modulo Radon Transform: Theory, Algorithms and Applications
Matthias Beckmann, Ayush Bhandari, Felix Krahmer
http://arxiv.org/abs/2105.04194v1

• [cs.IT]The Typical Non-Linear Code over Large Alphabets
Anina Gruica, Alberto Ravagnani
http://arxiv.org/abs/2105.04378v1

• [cs.IT]Tilling of Constellations
Maiara F. Bollauf, Øyvind Ytrehus
http://arxiv.org/abs/2105.04253v1

• [cs.LG]A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
http://arxiv.org/abs/2105.04030v1

• [cs.LG]A Bregman Learning Framework for Sparse Neural Networks
Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
http://arxiv.org/abs/2105.04319v1

• [cs.LG]A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
Lu-Ming Wang, Ya-Nan Wang, Xiao-Feng Gong, Qiu-Hua Lin, Fei Xiang
http://arxiv.org/abs/2105.04084v1

• [cs.LG]A Simple yet Universal Strategy for Online Convex Optimization
Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
http://arxiv.org/abs/2105.03681v1

• [cs.LG]A rigorous introduction for linear models
Jun Lu
http://arxiv.org/abs/2105.04240v1

• [cs.LG]Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna
http://arxiv.org/abs/2105.04528v1

• [cs.LG]Accounting for Model Uncertainty in Algorithmic Discrimination
Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
http://arxiv.org/abs/2105.04249v1

• [cs.LG]Aggregating From Multiple Target-Shifted Sources
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles Ling, Boyu Wang
http://arxiv.org/abs/2105.04051v1

• [cs.LG]AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
http://arxiv.org/abs/2105.04104v1

• [cs.LG]Apply Artificial Neural Network to Solving Manpower Scheduling Problem
Tianyu Liu, Lingyu Zhang
http://arxiv.org/abs/2105.03541v1

• [cs.LG]AutoDebias: Learning to Debias for Recommendation
Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
http://arxiv.org/abs/2105.04170v1

• [cs.LG]Automated Decision-based Adversarial Attacks
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu
http://arxiv.org/abs/2105.03931v1

• [cs.LG]BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
Mohammad Alawadhi, Wei Yan
http://arxiv.org/abs/2105.04103v1

• [cs.LG]Bayesian Optimistic Optimisation with Exponentially Decaying Regret
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
http://arxiv.org/abs/2105.04332v1

• [cs.LG]Bounding Information Leakage in Machine Learning
Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida
http://arxiv.org/abs/2105.03875v1

• [cs.LG]CASA-B: A Unified Framework of Model-Free Reinforcement Learning
Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng
http://arxiv.org/abs/2105.03923v1

• [cs.LG]Combinatorial Multi-armed Bandits for Resource Allocation
Jinhang Zuo, Carlee Joe-Wong
http://arxiv.org/abs/2105.04373v1

• [cs.LG]Continual Learning via Bit-Level Information Preserving
Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng
http://arxiv.org/abs/2105.04444v1

• [cs.LG]Contrastive Conditional Transport for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou
http://arxiv.org/abs/2105.03746v1

• [cs.LG]De-homogenization using Convolutional Neural Networks
Martin O. Elingaard, Niels Aage, J. Andreas Bærentzen, Ole Sigmund
http://arxiv.org/abs/2105.04232v1

• [cs.LG]Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
http://arxiv.org/abs/2105.04019v1

• [cs.LG]Directional Convergence Analysis under Spherically Symmetric Distribution
Dachao Lin, Zhihua Zhang
http://arxiv.org/abs/2105.03879v1

• [cs.LG]Do Concept Bottleneck Models Learn as Intended?
Andrei Margeloiu, Matthew Ashman, Umang Bhatt, Yanzhi Chen, Mateja Jamnik, Adrian Weller
http://arxiv.org/abs/2105.04289v1

• [cs.LG]Dynamic Game Theoretic Neural Optimizer
Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
http://arxiv.org/abs/2105.03788v1

• [cs.LG]Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
http://arxiv.org/abs/2105.04003v1

• [cs.LG]Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
Andrea Marinoni, Saloua Chlaily, Eduard Khachatrian, Torbjørn Eltoft, Sivasakthy Selvakumaran, Mark Girolami, Christian Jutten
http://arxiv.org/abs/2105.03682v1

• [cs.LG]Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme
Anmol Jain, Aishwary Kumar, Seba Susan
http://arxiv.org/abs/2105.03819v1

• [cs.LG]Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Jie Ran, Ru
b0f
i Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
http://arxiv.org/abs/2105.04218v1

• [cs.LG]Exploiting Path Information for Anchor Based Graph Neural Network
Yuheng Lu, ChuXiong Sun, Jie Hu
http://arxiv.org/abs/2105.03821v1

• [cs.LG]Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck
http://arxiv.org/abs/2105.04247v1

• [cs.LG]Fine-Grained -Margin Closed-Form Stabilization of Parametric Hawkes Processes
Rafael Lima
http://arxiv.org/abs/2105.03800v1

• [cs.LG]GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers
Seung Jee Yang, Kyung Joon Cha
http://arxiv.org/abs/2105.03855v1

• [cs.LG]Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour
http://arxiv.org/abs/2105.04522v1

• [cs.LG]Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model
Peng Lingwei
http://arxiv.org/abs/2105.03733v1

• [cs.LG]Graph Attention Networks with Positional Embeddings
Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
http://arxiv.org/abs/2105.04037v1

• [cs.LG]Graph Feature Gating Networks
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal, Jiliang Tang
http://arxiv.org/abs/2105.04493v1

• [cs.LG]HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Ziyao Li, Shuwen Yang, Guojie Song, Lingsheng Cai
http://arxiv.org/abs/2105.03688v1

• [cs.LG]Heterogeneous Risk Minimization
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
http://arxiv.org/abs/2105.03818v1

• [cs.LG]How To Train Your Program
David Tolpin
http://arxiv.org/abs/2105.03650v1

• [cs.LG]Hype
1000
rHyperNetworks for the Design of Antenna Arrays
Shahar Lutati, Lior Wolf
http://arxiv.org/abs/2105.03838v1

• [cs.LG]Improving Fairness of AI Systems with Lossless De-biasing
Yan Zhou, Murat Kantarcioglu, Chris Clifton
http://arxiv.org/abs/2105.04534v1

• [cs.LG]In-Hindsight Quantization Range Estimation for Quantized Training
Marios Fournarakis, Markus Nagel
http://arxiv.org/abs/2105.04246v1

• [cs.LG]Interpretable Mixture Density Estimation by use of Differentiable Tree-module
Ryuichi Kanoh, Tomu Yanabe
http://arxiv.org/abs/2105.03616v1

• [cs.LG]Learning Gradient Fields for Molecular Conformation Generation
Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
http://arxiv.org/abs/2105.03902v1

• [cs.LG]Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
Yufan Zhou, Changyou Chen, Jinhui Xu
http://arxiv.org/abs/2105.04538v1

• [cs.LG]Learning stochastic decision trees
Guy Blanc, Jane Lange, Li-Yang Tan
http://arxiv.org/abs/2105.03594v1

• [cs.LG]Loss Tolerant Federated Learning
Pengyuan Zhou, Pei Fang, Pan Hui
http://arxiv.org/abs/2105.03591v1

• [cs.LG]Loss-Aversively Fair Classification
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi
http://arxiv.org/abs/2105.04273v1

• [cs.LG]MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors
Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou
http://arxiv.org/abs/2105.04425v1

• [cs.LG]MetaKernel: Learning Variational Random Features with Limited Labels
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
http://arxiv.org/abs/2105.03781v1

• [cs.LG]Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
http://arxiv.org/abs/2105.04072v1

• [cs.LG]Multimodal and Contrastive Learning for Click Fraud Detection
Weibin Li, Qiwei Zhong, Qingyang Zhao, Hongchun Zhang, Xiaonan Meng
http://arxiv.org/abs/2105.03567v1

• [cs.LG]Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Bertrand Charpentier, Oliver Borchert, Daniel Zügner, Simon Geisler, Stephan Günnemann
http://arxiv.org/abs/2105.04471v1

• [cs.LG]Non-Recursive Graph Convolutional Networks
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
http://arxiv.org/abs/2105.03868v1

• [cs.LG]On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis, Quentin Becker
http://arxiv.org/abs/2105.03663v1

• [cs.LG]Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Avik Pal, Yingbo Ma, Viral Shah, Christopher Rackauckas
http://arxiv.org/abs/2105.03918v1

• [cs.LG]Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
http://arxiv.org/abs/2105.04550v1

• [cs.LG]PIM-DRAM:Accelerating Machine Learning Workloads using Processing in Memory based on DRAM Technology
Sourjya Roy, Mustafa Ali, Anand Raghunathan
http://arxiv.org/abs/2105.03736v1

• [cs.LG]Parameter-free Gradient Temporal Difference Learning
Andrew Jacobsen, Alan Chan
http://arxiv.org/abs/2105.04129v1

• [cs.LG]Pareto-Optimal Quantized ResNet Is Mostly 4-bit
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
http://arxiv.org/abs/2105.03536v1

• [cs.LG]Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees
Shubham Gupta, Ambedkar Dukkipati
http://arxiv.org/abs/2105.03714v1

• [cs.LG]Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility
Charles Jin, Melinda Sun, Martin Rinard
http://arxiv.org/abs/2105.03692v1

• [cs.LG]Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet
http://arxiv.org/abs/2105.04544v1

• [cs.LG]Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions
Siwei Wang, Wei Chen
http://arxiv.org/abs/2105.03598v1

• [cs.LG]RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
Eddy Hudson, Garrett Warnell, Peter Stone
http://arxiv.org/abs/2105.03756v1

• [cs.LG]RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
Michał Koziarski, Colin Bellinger, Michał Woźniak
http://arxiv.org/abs/2105.04009v1

• [cs.LG]Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah
http://arxiv.org/abs/2105.04180v1

• [cs.LG]Reinforcement Learning with Expert Trajectory For Quantitative Trading
Sihang Chen, Weiqi Luo, Chao Yu
http://arxiv.org/abs/2105.03844v1

• [cs.LG]Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang, Yinfei Xu, Qinghe Liu, Zhicheng Liu, Jian Lu, Qiao Wang
http://arxiv.org/abs/2105.04210v1

• [cs.LG]Segmenting Hybrid Trajectories using Latent ODEs
Ruian Shi, Quaid Morris
http://arxiv.org/abs/2105.03835v1

• [cs.LG]Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan
http://arxiv.org/abs/2105.04153v1

• [cs.LG]Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying
http://arxiv.org/abs/2105.03793v1

• [cs.LG]Stochastic Multi-Armed Bandits with Control Variates
Arun Verma, Manjesh K. Hanawal
http://arxiv.org/abs/2105.03962v1

• [cs.LG]Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback
Lorenzo Minto, Moritz Haller, Hammed Haddadi, Benjamin Livshits
http://arxiv.org/abs/2105.03941v1

• [cs.LG]Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics
Greg Yang, Etai Littwin
http://arxiv.org/abs/2105.03703v1

• [cs.LG]The Modern Mathematics of Deep Learning
Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen
http://arxiv.org/abs/2105.04026v1

• [cs.LG]The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting
Mauro Piva, Gaia Maselli, Francesco Restuccia
http://arxiv.org/abs/2105.03671v1

• [cs.LG]The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
Matthew Middlehurst, James Large, Gavin Cawley, Anthony Bagnall
http://arxiv.org/abs/2105.03841v1

• [cs.LG]Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
Mohammad Amin Edrisi
http://arxiv.org/abs/2105.03852v1

• [cs.LG]Transitioning from Real to Synthetic data: Quantifying the bias in model
Aman Gupta, Deepak Bhatt, Anubha Pandey
http://arxiv.org/abs/2105.04144v1

• [cs.LG]Understanding Neural Networks with Logarithm Determinant Entropy Estimator
Zhanghao Zhouyin, Ding Liu
http://arxiv.org/abs/2105.03705v1

• [cs.LG]Uniform Convergence, Adversarial Spheres and a Simple Remedy
Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
http://arxiv.org/abs/2105.03491v1

• [cs.LG]Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space
Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong
http://arxiv.org/abs/2105.03966v1

• [cs.LG]Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua
http://arxiv.org/abs/2105.03928v1

• [cs.LG]Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
http://arxiv.org/abs/2105.04100v1

• [cs.MA]Improving Multi-agent Coordination by Learning to Estimate Contention
Panayiotis Danassis, Florian Wiedemair, Boi Faltings
http://arxiv.org/abs/2105.04027v1

• [cs.MA]Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies
Austin Anhkhoi Nguyen
http://arxiv.org/abs/2105.03546v1

• [cs.NE]A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms
Maciej Świechowski
http://arxiv.org/abs/2105.03680v1

• [cs.NE]An Analysis of Phenotypic Diversity in Multi-Solution Optimization
Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
http://arxiv.org/abs/2105.04252v1

• [cs.NE]Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
Yangjie Mei
http://arxiv.org/abs/2105.03687v1

• [cs.NE]Designing Air Flow with Surrogate-assisted Phenotypic Niching
Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck
http://arxiv.org/abs/2105.04256v1

• [cs.NE]Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
http://arxiv.org/abs/2105.04097v1

• [cs.NE]In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
http://arxiv.org/abs/2105.03649v1

• [cs.NE]Overcoming Complexity Catastrophe: An Algorithm for Beneficial Far-Reaching Adaptation under High Complexity
Sasanka Sekhar Chanda, Sai Yayavaram
http://arxiv.org/abs/2105.04311v1

• [cs.NI]Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge
http://arxiv.org/abs/2105.04184v1

• [cs.PL]How could Neural Networks understand Programs?
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
http://arxiv.org/abs/2105.04297v1

• [cs.RO]: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms
Shuangyao Huang, Haibo Zhang, Zhiyi Huang
http://arxiv.org/abs/2105.03564v1

• [cs.RO]Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training
Yarden Sharon, Daniel Naftalovich, Lidor Bahar, Yael Refaely, Ilana Nisky
http://arxiv.org/abs/2105.03917v1

• [cs.RO]Euclidean Distance-Optimal Post-Processing of Grid-Based Paths
Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev
http://arxiv.org/abs/2105.03833v1

• [cs.RO]FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
Huy Ha, Shuran Song
http://arxiv.org/abs/2105.03655v1

• [cs.RO]Human Gait State Prediction Using Cellular Automata and Classification Using ELM
Vijay Bhaskar Semwal, Neha Gaud, G. C. Nandi
http://arxiv.org/abs/2105.03799v1

• [cs.RO]Learning Image Attacks toward Vision Guided Autonomous Vehicles
Hyung-Jin Yoon, Hamid Jafarnejad Sani, Petros Voulgaris
http://arxiv.org/abs/2105.03834v1

• [cs.RO]Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry
Bo Xu, Peng Wang, Yijia He, Yu Chen, Yongnan Chen, Ming Zhou
http://arxiv.org/abs/2105.04064v1

• [cs.RO]NMPC trajectory planner for urban autonomous driving
Francesco Micheli, Mattia Bersani, Stefano Arrigoni, Francesco Braghin, Federico Cheli
http://arxiv.org/abs/2105.04034v1

• [cs.RO]Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
Pablo Lanillos, Marcel van Gerven
http://arxiv.org/abs/2105.04261v1

• [cs.RO]ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
Jun Yang, Yizhou Gao, Dong Li, Steven L. Waslander
http://arxiv.org/abs/2105.04112v1

• [cs.RO]Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance
S. Luo, G. Androwis, S. Adamovich, H. Su, X. Zhou
http://arxiv.org/abs/2105.03489v1

• [cs.RO]Safety of the Intended Driving Behavior Using Rulebooks
Anne Collin, Artur Bilka, Scott Pendleton, Radboud Duintjer Tebbens
http://arxiv.org/abs/2105.04472v1

• [cs.RO]Stability Constrained Mobile Manipulation Planning on Rough Terrain
Jiazhi Song, Inna Sharf
http://arxiv.org/abs/2105.04396v1

• [cs.RO]Team Orienteering Coverage Planning with Uncertain Reward
Bo Liu, Xuesu Xiao, Peter Stone
http://arxiv.org/abs/2105.03721v1

• [cs.RO]The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen
http://arxiv.org/abs/2105.04408v1

• [cs.RO]Towards Robust One-shot Task Execution using Knowledge Graph Embeddings
Angel Daruna, Lakshmi Nair, Weiyu Liu, Sonia Chernova
http://arxiv.org/abs/2105.04484v1

• [cs.RO]VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
Delong Zhu, Chaoqun Wang, Wenshan Wang, Rohit Garg, Sebastian Scherer, Max Q. -H. Meng
http://arxiv.org/abs/2105.04419v1

• [cs.SD]A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment
Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
http://arxiv.org/abs/2105.04488v1

• [cs.SD]Learning Robust Latent Representations for Controllable Speech Synthesis
Shakti Kumar, Jithin Pradeep, Hussain Zaidi
http://arxiv.org/abs/2105.04458v1

• [cs.SD]Multi-modal Conditional Bounding Box Regression for Music Score Following
Florian Henkel, Gerhard Widmer
http://arxiv.org/abs/2105.04309v1

• [cs.SD]MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE
Shih-Lun Wu, Yi-Hsuan Yang
http://arxiv.org/abs/2105.04090v1

• [cs.SD]Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method
Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari
http://arxiv.org/abs/2105.04079v1

• [cs.SE]A framework for the automation of testing computer vision systems
Franz Wotawa, Lorenz Klampfl, Ledio Jahaj
http://arxiv.org/abs/2105.04383v1

• [cs.SE]Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
Johannes Otterbach, Thomas Wollmann
http://arxiv.org/abs/2105.03669v1

• [cs.SE]Test Suites as a Source of Training Data for Static Analysis Alert Classifiers
Lori Flynn, William Snavely, Zachary Kurtz
http://arxiv.org/abs/2105.03523v1

• [cs.SI]Approximate Fréchet Mean for Data Sets of Sparse Graphs
Daniel Ferguson, François G. Meyer
http://arxiv.org/abs/2105.04062v1

• [cs.SI]Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches
Gokhan Gokturk, Kamer Kaya
http://arxiv.org/abs/2105.04023v1

• [cs.SI]On the Hardness of Opinion Dynamics Optimization with -Budget on Varying Susceptibility to Persuasion
T-H. Hubert Chan, Chui Shan Lee
http://arxiv.org/abs/2105.04105v1

• [cs.SI]Perturbative expansion of the fundamental equation of online user dynamics for describing changes in eigenfrequencies
Naoki Hirakura, Masaki Aida
http://arxiv.org/abs/2105.03883v1

• [econ.EM]Efficient Peer Effects Estimators with Random Group Effects
Guido M. Kuersteiner, Ingmar R. Prucha, Ying Zeng
http://arxiv.org/abs/2105.04330v1

• [econ.EM]The Local Approach to Causal Inference under Network Interference
Eric Auerbach, Max Tabord-Meehan
http://arxiv.org/abs/2105.03810v1

• [econ.GN]Investigating Socio-spatial Differences between Solo Ridehailing and Pooled Rides in Diverse Communities
Jason Soria, Amanda Stathopoulos
http://arxiv.org/abs/2105.03512v1

• [eess.AS]Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation
Sunwoo Kim, Minje Kim
http://arxiv.org/abs/2105.03544v1

• [eess.AS]Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection
Aswin Sivaraman, Minje Kim
http://arxiv.org/abs/2105.03542v1

• [eess.IV]Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks
Chayan Mondal, Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Md. Abdul Awal, Mohiuddin Ahmad
http://arxiv.org/abs/2105.03995v1

• [eess.IV]Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network
Hong-Ye Zeng, Song-Han Ge, Yu-Chong Gao, De-Sen Zhou, Kang Zhou, Xu-Ming He, Rui Zheng
http://arxiv.org/abs/2105.03847v1

• [eess.IV]Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network
Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran, Talha Iqbal
http://arxiv.org/abs/2105.04356v1

• [eess.IV]DiagSet: a dataset for prostate cancer histopathological image classification
Michał Koziarski, Bogusław Cyganek, Bogusław Olborski, Zbigniew Antosz, Marcin Żydak, Bogdan Kwolek, Paweł Wąsowicz, Andrzej Bukała, Jakub Swadźba, Piotr Sitkowski
http://arxiv.org/abs/2105.04014v1

• [eess.IV]EZCrop: Energy-Zoned Channels for Robust Output Pruning
Rui Lin, Jie Ran, Ngai Wong
http://arxiv.org/abs/2105.03679v1

• [eess.IV]Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John Strupp, Cheryl A. Olman, Kâmil Uğurbil, Mehmet Akçakaya
http://arxiv.org/abs/2105.04532v1

• [eess.IV]Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi
http://arxiv.org/abs/2105.03939v1

• [eess.IV]Weakly supervised pan-cancer segmentation tool
Marvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios
http://arxiv.org/abs/2105.04269v1

• [eess.SP]Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci
http://arxiv.org/abs/2105.04207v1

• [eess.SP]AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning
Mohammad Parvini, Mohammad Reza Javan, Nader Mokari, Bijan Abbasi, Eduard A. Jorswieck
http://arxiv.org/abs/2105.04196v1

• [eess.SP]ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting
Carter N. Brown, Enrico Mattei, Andrew Draganov
http://arxiv.org/abs/2105.03568v1

• [eess.SP]Deep learning of nanopore sensing signals using a bi-path network
Dario Dematties, Chenyu Wen, Mauricio David Pérez, Dian Zhou, Shi-Li Zhang
http://arxiv.org/abs/2105.03660v1

• [eess.SP]Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees
Muhammad Sohaib, Jongjin Jeong, Sang-Woon Jeon
http://arxiv.org/abs/2105.04077v1

• [eess.SP]Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent
Fan Wu, Patrick Rebeschini
http://arxiv.org/abs/2105.03678v1

• [eess.SP]Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
Ferhat Ozgur Catak, Evren Catak, Murat Kuzlu, Umit Cali
http://arxiv.org/abs/2105.03905v1

• [eess.SP]Study of List-Based OMP and an Enhanced Model for Direction Finding with Non-Uniform Arrays
W. S. Leite, R. C. de Lamare
http://arxiv.org/abs/2105.03774v1

• [eess.SY]Identification of the nonlinear steering dynamics of an autonomous vehicle
G. Rödönyi, G. I. Beintema, R. Tóth, M. Schoukens, D. Pup, Á. Kisari, Zs. Vígh, P. Kőrös, A. Soumelidis, J. Bokor
http://arxiv.org/abs/2105.04529v1

• [mat
1000
h.ST]Adaptive estimation in symmetric location model under log-concavity constraint
Nilanjana Laha
http://arxiv.org/abs/2105.04287v1

• [math.AG]Galois/monodromy groups for decomposing minimal problems in 3D reconstruction
Timothy Duff, Viktor Korotynskiy, Tomas Pajdla, Margaret H. Regan
http://arxiv.org/abs/2105.04460v1

• [math.AG]Rational points of lattice ideals on a toric variety and toric codes
Mesut Şahin
http://arxiv.org/abs/2105.04257v1

• [math.MG]Bounds for the sum of distances of spherical sets of small size
Alexander Barg, Peter Boyvalenkov, Maya Stoyanova
http://arxiv.org/abs/2105.03511v1

• [math.NA]ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Juncai He, Lin Li, Jinchao Xu
http://arxiv.org/abs/2105.04156v1

• [math.OC]Scalable Projection-Free Optimization
Mingrui Zhang
http://arxiv.org/abs/2105.03527v1

• [math.OC]Surrogate-Based Simulation Optimization
L. Jeff Hong, Xiaowei Zhang
http://arxiv.org/abs/2105.03893v1

• [math.ST]Some multivariate goodness of fit tests based on data depth
Rahul Singh, Subhajit Dutta, Neeraj Misra
http://arxiv.org/abs/2105.03604v1

• [math.ST]Statistical inference for continuous-time locally stationary processes using stationary approximations
Bennet Ströh
http://arxiv.org/abs/2105.04390v1

• [physics.bio-ph]tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang
http://arxiv.org/abs/2105.04350v1

• [physics.flu-dyn]Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening
Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar
http://arxiv.org/abs/2105.03752v1

• [physics.flu-dyn]Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
Quang Tuyen Le, Chin Chun Ooi
http://arxiv.org/abs/2105.03854v1

• [physics.soc-ph]Simplicial contagion in temporal higher-order networks
Sandeep Chowdhary, Aanjaneya Kumar, Giulia Cencetti, Iacopo Iacopini, Federico Battiston
http://arxiv.org/abs/2105.04455v1

• [q-bio.BM]MEGADOCK-GUI: a GUI-based complete cross-docking tool for exploring protein-protein interactions
Masahito Ohue, Yutaka Akiyama
http://arxiv.org/abs/2105.03617v1

• [q-fin.TR]MCTG:Multi-frequency continuous-share trading algorithm with GARCH based on deep reinforcement learning
Zhishun Wang, Wei Lu, Kaixin Zhang, Tianhao Li, Zixi Zhao
http://arxiv.org/abs/2105.03625v1

• [quant-ph]Key Assistance, Key Agreement, and Layered Secrecy for Bosonic Broadcast Channels
Uzi Pereg, Roberto Ferrara, Matthieu R. Bloch
http://arxiv.org/abs/2105.04033v1

• [quant-ph]Quantum Machine Learning For Classical Data
Leonard Wossnig
http://arxiv.org/abs/2105.03684v1

• [quant-ph]Towards a functorial description of quantum relative entropy
Arthur J. Parzygnat
http://arxiv.org/abs/2105.04059v1

• [stat.AP]Estimating the Causal Effects of Cruise Traffic on Air Pollution using Randomization-Based Inference
Léo Zabrocki, Marion Leroutier, Marie-Abèle Bind
http://arxiv.org/abs/2105.03996v1

• [stat.AP]Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data
Johann A. Gagnon-Bartsch, Adam C. Sales, Edward Wu, Anthony F. Botelho, John A. Erickson, Luke W. Miratrix, Neil T. Heffernan
http://arxiv.org/abs/2105.03529v1

• [stat.AP]Probabilistic Modeling of Hurricane Wind-Induced Damage in Infrastructure Systems
Derek Chang, Kerry Emanuel, Saurabh Amin
http://arxiv.org/abs/2105.03497v1

• [stat.AP]Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems
Anirban Mondal, Bani Mallick
http://arxiv.org/abs/2105.03651v1

• [stat.ME]A defective cure rate quantile regression model for male breast cancer data
Agatha Rodrigues, Patrick Borges, Bruno Santos
http://arxiv.org/abs/2105.03699v1

• [stat.ME]Adjusting for Unmeasured Confounding in Marginal Structural Models with Propensity-Score Fixed Effects
Matthew Blackwell, Soichiro Yamauchi
http://arxiv.org/abs/2105.03478v1

• [stat.ME]An Objective Prior from a Scoring Rule
Stephen G. Walker, Cristiano Villa
http://arxiv.org/abs/2105.03241v2

• [stat.ME]Bagging cross-validated bandwidth selection in nonparametric regression estimation with applications to large-sized samples
D. Barreiro-Ures, R. Cao, M. Francisco-Fernández
http://arxiv.org/abs/2105.04134v1

• [stat.ME]Bayesian Modeling for Exposure Response Curve via Gaussian Processes: Causal Effects of Exposure to Air Pollution on Health Outcomes
Boyu Ren, Xiao Wu, Danielle Braun, Natesh Pillai, Francesca Dominici
http://arxiv.org/abs/2105.03454v1

• [stat.ME]Causal Inference under Network Interference with Noise
Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk
http://arxiv.org/abs/2105.04518v1

• [stat.ME]Causal identification of infectious disease intervention effects in a clustered population
Xiaoxuan Cai, Eben Kenah, Forrest W. Crawford
http://arxiv.org/abs/2105.03493v1

• [stat.ME]Is there Anisotropy in Structural Bias?
Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
http://arxiv.org/abs/2105.04480v1

• [stat.ME]Latent Cross-population Dynamic Time-series Analysis of High-dimensional Neural Recordings
Heejong Bong, Valérie Ventura, Eric A. Yttri, Matthew A. Smith, Robert E. Kass
http://arxiv.org/abs/2105.03508v1

• [stat.ME]Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension
Yunan Wu, Lan Wang, Haoda Fu
http://arxiv.org/abs/2105.04099v1

• [stat.ME]Modelling Point Referenced Spatial Count Data: A Poisson Process Approach
Diego Morales-Navarrete, Moreno Bevilacqua, Christian Caamaño-Carrillo, Luis M. Castro
http://arxiv.org/abs/2105.03734v1

• [stat.ME]On projection methods for functional time series forecasting
Antonio Elías, Raúl Jiménez, Hanlin Shang
http://arxiv.org/abs/2105.04399v1

• [stat.ME]Search Algorithms and Loss Functions for Bayesian Clustering
David B. Dahl, Devin J. Johnson, Peter Mueller
http://arxiv.org/abs/2105.04451v1

• [stat.ME]Semiparametric Volatility Model with Varying Frequencies
Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios
http://arxiv.org/abs/2105.03865v1

• [stat.ME]Statistical Assessment of Replicability via Bayesian Model Criticism
Yi Zhao, Xiaoquan Wen
http://arxiv.org/abs/2105.03993v1

• [stat.ME]Stein’s Method Meets Statistics: A Review of Some Recent Developments
Andreas Anastasiou, Alessandro Barp, François-Xavier Briol, Bruno Ebner, Robert E. Gaunt, Fatemeh Ghaderinezhad, Jackson Gorham, Arthur Gretton, Christophe Ley, Qiang Liu, Lester Mackey, Chris. J. Oates, Gesine Reinert, Yvik Swan
http://arxiv.org/abs/2105.03481v1

• [stat.ME]The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data
Danúbia R. Cunha, Jose A. Divino, Helton Saulo
http://arxiv.org/abs/2105.03806v1

• [stat.ME]Trustworthiness of statistical inference
David J. Hand
http://arxiv.org/abs/2105.03948v1

• [stat.ML]A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin
http://arxiv.org/abs/2105.04046v1

• [stat.ML]Adaptive Latent Space Tuning for Non-Stationary Distributions
Alexander Scheinker, Frederick Cropp, Sergio Paiagua, Daniele Filippetto
http://arxiv.org/abs/2105.03584v1

• [stat.ML]Bayesian Kernelised Test of (In)dependence with Mixed-type Variables
Alessio Benavoli, Cassio de Campos
http://arxiv.org/abs/2105.04001v1

• [stat.ML]Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande
http://arxiv.org/abs/2105.04504v1

• [stat.ML]Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds
Steven Kleinegesse, Michael U. Gutmann
http://arxiv.org/abs/2105.04379v1

• [stat.ML]Latency Analysis of Consortium Blockchained Federated Learning
Pengcheng Ren, Tongjiang Yan
http://arxiv.org/abs/2105.04087v1

• [stat.ML]Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma, Matthew B. Blaschko
http://arxiv.org/abs/2105.04290v1

• [stat.ML]Non-asymptotic Performances of Robust Markov Decision Processes
Wenhao Yang, Zhihua Zhang
http://arxiv.org/abs/2105.03863v1

• [stat.ML]Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Adi Suresh, Jesse Thaler
http://arxiv.org/abs/2105.04448v1

• [stat.ML]SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry Lyons
http://arxiv.org/abs/2105.04211v1

• [stat.ML]T-EMDE: Sketching-based global similarity for cross-modal retrieval
Barbara Rychalska, Mikolaj Wieczorek, Jacek Dabrowski
http://arxiv.org/abs/2105.04242v1

• [stat.OT]Comparative analysis of the original and amplitude permutations
Wenpo Yao, Wenli Yao
http://arxiv.org/abs/2105.03557v1