今日学术视野(2021.6.2)

astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
hep-ph - 高能物理现象学
math.CO - 组合数学
math.OC - 优化与控制
math.ST - 统计理论
nlin.AO - 适应和自组织系统
physics.soc-ph - 物理学与社会
q-bio.MN - 分子网络
q-bio.NC - 神经元与认知
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

• [astro-ph.IM]First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning
• [astro-ph.IM]Square Kilometre Array : Processing Voluminous MeerKAT Data on IRIS
• [cs.AI]Approximate Implication with d-Separation
• [cs.AI]Automated Timeline Length Selection for Flexible Timeline Summarization
• [cs.AI]Efficient and robust multi-task learning in the brain with modular task primitives
• [cs.AI]Fine-Tuning the Odds in Bayesian Networks
• [cs.AI]GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
• [cs.AI]Hybrid Henry Gas Solubility Optimization Algorithm with Dynamic Cluster-to-Algorithm Mapping for Search-based Software Engineering Problems
• [cs.AI]Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
• [cs.AI]LTL-Constrained Steady-State Policy Synthesis
• [cs.AI]Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
• [cs.AI]Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
• [cs.AI]Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
• [cs.AI]Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
• [cs.AI]SMA
9e8
SH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT
• [cs.AI]Sentiment analysis in tweets: an assessment study from classical to modern text representation models
• [cs.AI]Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency
• [cs.AI]The Role of Entropy in Guiding a Connection Prover
• [cs.AI]Towards a General Many-Sorted Framework for Describing Certain Kinds of Legal Statutes with a Potential Computational Realization
• [cs.AR]ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
• [cs.CL]A Multilingual Modeling Method for Span-Extraction Reading Comprehension
• [cs.CL]A Semantic-based Method for Unsupervised Commonsense Question Answering
• [cs.CL]A Simple Voting Mechanism for Online Sexist Content Identification
• [cs.CL]Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
• [cs.CL]An Exploratory Analysis of the Relation Between Offensive Language and Mental Health
• [cs.CL]Attention Flows are Shapley Value Explanations
• [cs.CL]Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods
• [cs.CL]Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
• [cs.CL]CLEVE: Contrastive Pre-training for Event Extraction
• [cs.CL]Cascaded Head-colliding Attention
• [cs.CL]CoDesc: A Large Code-Description Parallel Dataset
• [cs.CL]CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model
• [cs.CL]Constructing Flow Graphs from Procedural Cybersecurity Texts
• [cs.CL]Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition
• [cs.CL]Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
• [cs.CL]Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
• [cs.CL]DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
• [cs.CL]Diversifying Dialog Generation via Adaptive Label Smoothing
• [cs.CL]Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?
• [cs.CL]Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
• [cs.CL]Effective Batching for Recurrent Neural Network Grammars
• [cs.CL]Emotional Voice Conversion: Theory, Databases and ESD
• [cs.CL]Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
• [cs.CL]Factorising Meaning and Form for Intent-Preserving Paraphrasing
• [cs.CL]Fast Nearest Neighbor Machine Translation
• [cs.CL]Fully Hyperbolic Neural Networks
• [cs.CL]G-Transformer for Document-level Machine Translation
• [cs.CL]GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation
• [cs.CL]Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
• [cs.CL]Grammar Accuracy Evaluation (GAE): Quantifiable Intrinsic Evaluation of Machine Translation Models
• [cs.CL]Greedy Layer Pruning: Decreasing Inference Time of Transformer Models
• [cs.CL]HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
• [cs.CL]How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship
• [cs.CL]How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
• [cs.CL]How transfer learning impacts linguistic knowledge in deep NLP models?
• [cs.CL]Is Sluice Resolution really just Question Answering?
• [cs.CL]Korean-English Machine Translation with Multiple Tokenization Strategy
• [cs.CL]LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
• [cs.CL]Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking
• [cs.CL]Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training
• [cs.CL]MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models
• [cs.CL]Maintaining Common Ground in Dynamic Environments
• [cs.CL]Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
• [cs.CL]Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation
• [cs.CL]NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
• [cs.CL]Neural Bi-Lexicalized PCFG Induction
• [cs.CL]NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
• [cs.CL]NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
• [cs.CL]Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
• [cs.CL]On Compositional Generalization of Neural Machine Translation
• [cs.CL]On the Interplay Between Fine-tuning and Composition in Transformers
• [cs.CL]Pre-training Universal Language Representation
• [cs.CL]Predictive Representation Learning for Language Modeling
• [cs.CL]Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
• [cs.CL]REAM: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation
• [cs.CL]Reinforced Generative Adversarial Network for Abstractive Text Summarization
• [cs.CL]SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence
• [cs.CL]SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
• [cs.CL]Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
• [cs.CL]Structured Sentiment Analysis as Dependency Graph Parsing
• [cs.CL]Supporting Cognitive and Emotional Empathic Writing of Students
• [cs.CL]Telling Stories through Multi-User Dialogue by Modeling Character Relations
• [cs.CL]Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
• [cs.CL]Transfer Learning for Sequence Generation: from Single-source to Multi-source
• [cs.CL]Verdi: Quality Estimation and Error Detection for Bilingual
• [cs.CL]Zero-shot Fact Verification by Claim Generation
• [cs.CR]Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks
• [cs.CR]FED-: Privacy Preserving Federated Correlation Test
• [cs.CV]1N Block Pattern for Network Sparsity
• [cs.CV]A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access
• [cs.CV]A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
• [cs.CV]A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP
• [cs.CV]ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection
• [cs.CV]Adaptive Feature Alignment for Adversarial Training
• [cs.CV]Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
• [cs.CV]Analysis and Applications of Class-wise Robustness in Adversarial Training
• [cs.CV]ArtGraph: Towards an Artistic Knowledge Graph
• [cs.CV]Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment
• [cs.CV]Augmenting Anchors by the Detector Itself
• [cs.CV]Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
• [cs.CV]BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
• [cs.CV]Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
• [cs.CV]Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification
• [cs.CV]Bounded logit attention: Learning to explain image classifiers
• [cs.CV]Can Attention Enable MLPs To Catch Up With CNNs?
• [cs.CV]Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
• [cs.CV]Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
• [cs.CV]Connecting Language and Vision for Natural Language-Based Vehicle Retrieval
• [cs.CV]Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
• [cs.CV]DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows
• [cs.CV]Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
• [cs.CV]Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
• [cs.CV]Demographic Fairness in Biometric Systems: What do the Experts say?
• [cs.CV]Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
• [cs.CV]Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring Using Deep Learning
• [cs.CV]Dual-stream Network for Visual Recognition
• [cs.CV]E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
• [cs.CV]EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network
• [cs.CV]Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
• [cs.CV]FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
• [cs.CV]FoveaTer: Foveated Transformer for Image Classification
• [cs.CV]Foveal-pit inspired filtering of DVS spike response
• [cs.CV]Gaze Estimation using Transformer
• [cs.CV]Identity and Attribute Preserving Thumbnail Upscaling
• [cs.CV]Image-to-Video Generation via 3D Facial Dynamics
• [cs.CV]Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
• [cs.CV]Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
• [cs.CV]Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
• [cs.CV]LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
• [cs.CV]Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark
• [cs.CV]Learning Convolutions with Only Additions
• [cs.CV]Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
• [cs.CV]Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
• [cs.CV]Learning Personal Style from Few Examples
• [cs.CV]Less is More: Pay Less Attention in Vision Transformers
• [cs.CV]Long-term Person Re-identification: A Benchmark
• [cs.CV]Longer Version for “Deep Context-Encoding Network for Retinal Image Captioning”
• [cs.CV]MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment
• [cs.CV]MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
• [cs.CV]Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures
• [cs.CV]Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection
• [cs.CV]Non-local Patch-based Low-rank Tensor Ring Completion for Visual Data
• [cs.CV]Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length
• [cs.CV]Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents
• [cs.CV]Polygonal Point Set Tracking
• [cs.CV]RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks
• [cs.CV]RPG: Learning Recursive Point Cloud Generation
• [cs.CV]Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
• [cs.CV]SDNet: mutil-branch for single image deraining using swin
• [cs.CV]SN-Graph: a Minimalist 3D Object Representation for Classification
• [cs.CV]Scene-aware Generative Network for Human Motion Synthesis
• [cs.CV]Scorpion detection and classification systems based on computer vision and deep learning for health security purposes
• [cs.CV]SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
• [cs.CV]Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
• [cs.CV]StyTr^2: Unbiased Image Style Transfer with Transformers
• [cs.CV]The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
• [cs.CV]Three-dimensional multimodal medical imaging system based on free-hand ultrasound and structured light
• [cs.CV]Towards Diverse Paragraph Captioning for Untrimmed Videos
• [cs.CV]Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
• [cs.CV]Transferable Sparse Adversarial Attack
• [cs.CV]Transformer-Based Deep Image Matching for Generalizable Person Re-identification
• [cs.CV]Transformer-Based Source-Free Domain Adaptation
• [cs.CV]Transforming the Latent Space of StyleGAN for Real Face Editing
• [cs.CV]UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
• [cs.CV]Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
• [cs.CV]Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
• [cs.CV]VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
• [cs.CV]VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
• [cs.CY]A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach
• [cs.CY]Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google’s My Activity (Extended Version)
• [cs.CY]Correcting public opinion trends through Bayesian data assimilation
• [cs.CY]How the University Portal Inspired Changes in the Academic Assessment Culture
• [cs.CY]Leveraging Mobile Phone Data for Migration Flows
• [cs.CY]Organizational Artifacts of Code Development
• [cs.CY]Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories
• [cs.DC]2.5-dimensional distributed model training
• [cs.DC]Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering
• [cs.DC]Communication efficient privacy-preserving distributed optimization using adaptive differential quantization
• [cs.DC]Maximizing Parallelism in Distributed Training for Huge Neural Networks
• [cs.DC]On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels
• [cs.DC]Power and Performance Efficient SDN-Enabled Fog Architecture
• [cs.DC]SMURF: Efficient and Scalable Metadata Access for Distributed Applications
• [cs.DC]System-aware dynamic partitioning for batch and streaming workloads
• [cs.DC]WfCommons: A Framework for Enabling Scientific Workflow Research and Development
• [cs.DC]With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions
• [cs.DL]Determining the Credibility of Science Communication
• [cs.DL]Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences
• [cs.DL]Long-term Scientific Impact Revisited
• [cs.DL]The x-index: A new citation-distance-based index to measure academic influence
• [cs.DS]Locally Private -Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
• [cs.GR]Z2P: Instant Rendering of Point Clouds
• [cs.IR]CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval
• [cs.IR]DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
• [cs.IR]Enumerating Fair Packages for Group Recommendations
• [cs.IR]Generating Interesting Song-to-Song Segues With Dave
• [cs.IR]ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX
• [cs.IR]Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
• [cs.IR]Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
• [cs.IR]Multimodal Detection of Information Disorder from Social Media
• [cs.IR]Personalization in E-Grocery: Top-N versus Top-k Rankings
• [cs.IR]Privileged Graph Distillation for Cold Start Recommendation
• [cs.IR]Recommendations and Results Organization in Netflix Search
• [cs.IR]The Evaluation of Rating Systems in Team-based Battle Royale Games
• [cs.IT]A Capacity Region Outer Bound for the Two-User Dispersive Nonlinear Fiber Optical Channel
• [cs.IT]A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System
• [cs.IT]A New Transmit Antenna Selection Technique for Physical Layer Security with Strong Eavesdropping
• [cs.IT]Advantages of NOMA for Multi-User BackCom Networks
• [cs.IT]Comparison-limited Vector Quantization
• [cs.IT]Emergence and algorithmic information dynamics of systems and observers
• [cs.IT]Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms
• [cs.IT]Energy-Efficient Precoding in Electromagnetic Exposure-Constrained Uplink Multiuser MIMO
• [cs.IT]Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
• [cs.IT]List-decoding and list-recovery of Reed-Solomon codes beyond the Johnson radius for any rate
• [cs.IT]On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel
• [cs.IT]Performance of Dual-Hop Relaying for OWC System Over Foggy Channel with Pointing Errors and Atmospheric Turbulence
• [cs.IT]Secret sharing schemes from hypersurfaces over finite fields
• [cs.IT]Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation
• [cs.IT]Sum-rank product codes and bounds on the minimum distance
• [cs.IT]The Dantzig selector: Recovery of Signal via Minimization
• [cs.IT]The Jacobi sums over Galois rings of arbitrary characters and their applications in constructing asymptotically optimal codebooks
• [cs.IT]Transmission Delay Minimization via Joint Power Control and Caching in Wireless HetNets
• [cs.LG]A Federated Learning Framework for Nonconvex-PL Minimax Problems
• [cs.LG]A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
• [cs.LG]A Stochastic Alternating Balance -Means Algorithm for Fair Clustering
• [cs.LG]A unified view of likelihood ratio and reparameterization gradients
• [cs.LG]ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations
• [cs.LG]ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
• [cs.LG]Adaptive Multi-Source Causal Inference
• [cs.LG]Adversarial Training with Rectified Rejection
• [cs.LG]An exact counterfactual-example-based approach to tree-ensemble models interpretability
• [cs.LG]An improved LogNNet classifier for IoT application
• [cs.LG]Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works
• [cs.LG]Asymptotically Optimal Bandits under Weighted Information
• [cs.LG]BABA: Beta Approximation for Bayesian Active Learning
• [cs.LG]Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
• [cs.LG]CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model
• [cs.LG]Choose a Transformer: Fourier or Galerkin
• [cs.LG]Consistency Regularization for Variational Auto-Encoders
• [cs.LG]DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
• [cs.LG]Deconvolutional Density Network: Free-Form Conditional Density Estimation
• [cs.LG]Deep Fair Discriminative Clustering
• [cs.LG]Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network
• [cs.LG]Dominant Patterns: Critical Features Hidden in Deep Neural Networks
• [cs.LG]EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment
• [cs.LG]Efficient Hierarchical Exploration with Stable Subgoal Representation Learning
• [cs.LG]Efficient and Modular Implicit Differentiation
• [cs.LG]Embedding Principle of Loss Landscape of Deep Neural Networks
• [cs.LG]Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent
• [cs.LG]Exploring Sparse Expert Models and Beyond
• [cs.LG]Fast, Accurate and Interpretable Time Series Classification Through Randomization
• [cs.LG]GINA: Neural Relational Inference From Independent Snapshots
• [cs.LG]Gradient-based Data Subversion Attack Against Binary Classifiers
• [cs.LG]Greedy Bayesian Posterior Approximation with Deep Ensembles
• [cs.LG]Hashing-Accelerated Graph Neural Networks for Link Prediction
• [cs.LG]How effective are Graph Neural Networks in Fraud Detection for Network Data?
• [cs.LG]Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause
• [cs.LG]Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score
• [cs.LG]Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
• [cs.LG]Large-Scale Data-Driven Airline Market Influence Maximization
• [cs.LG]Learning Graphon Autoencoders for Generative Graph Modeling
• [cs.LG]Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
• [cs.LG]Max-Margin is Dead, Long Live Max-Margin!
• [cs.LG]Memory-Efficient Differentiable Transformer Architecture Search
• [cs.LG]Model Mis-specification and Algorithmic Bias
• [cs.LG]OASIS: An Active Framework for Set Inversion
• [cs.LG]OCT-GAN: Neural ODE-based Conditional Tabular GANs
• [cs.LG]Objective Robustness in Deep Reinforcement Learning
• [cs.LG]On the Theory of Reinforcement Learning with Once-per-Episode Feedback
• [cs.LG]On the benefits of representation regularization in invariance based domain generalization
• [cs.LG]On the geometry of generalization and memorization in deep neural networks
• [cs.LG]Overparameterization of deep ResNet: zero loss and mean-field analysis
• [cs.LG]Periodic-GP: Learning Periodic World with Gaussian Process Bandits
• [cs.LG]Product Progression: a machine learning approach to forecasting industrial upgrading
• [cs.LG]QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities
• [cs.LG]Rawlsian Fair Adaptation of Deep Learning Classifiers
• [cs.LG]Re-evaluating Word Mover’s Distance
• [cs.LG]Rejection sampling from shape-constrained distributions in sublinear time
• [cs.LG]Representation Learning in Continuous-Time Score-Based Generative Models
• [cs.LG]Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
• [cs.LG]Risk-Aware Transfer in Reinforcement Learning using Successor Features
• [cs.LG]Robustifying Adversarial Training to the Union of Perturbation Models
• [cs.LG]SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning
• [cs.LG]Safe Pontryagin Differentiable Programming
• [cs.LG]Sharper bounds for online learning of smooth functions of a single variable
• [cs.LG]Support vector machines and linear regression coincide with very high-dimensional features
• [cs.LG]SyReNets: Symbolic Residual Neural Networks
• [cs.LG]Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
• [cs.LG]Towards Lower Bounds on the Depth of ReLU Neural Networks
• [cs.LG]Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things
• [cs.LG]Towards mental time travel: a hierarchical memory for reinforcement learning agents
• [cs.LG]Towards optimally abstaining from prediction
• [cs.LG]Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems
• [cs.LG]Understanding Bandits with Graph Feedback
• [cs.LG]Understanding Instance-based Interpretability of Variational Auto-Encoders
• [cs.LG]Unifying Distillation with Personalization in Federated Learning
• [cs.LG]Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning
• [cs.LG]Weighted Training for Cross-Task Learning
• [cs.LG]Why does CTC result in peaky behavior?
• [cs.LO]A logic for binary classifiers and their explanation
• [cs.NE]Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks
• [cs.NE]Deep Memory Update
• [cs.NE]Evolution of Activation Functions: An Empirical Investigation
• [cs.NE]Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning
• [cs.NI]Entanglement Rate Optimization in Heterogeneous Quantum Communication Networks
• [cs.NI]Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
• [cs.NI]Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks
• [cs.RO]A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
• [cs.RO]APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
• [cs.RO]Bimanual Shelf Picking Planner Based on Collapse Prediction
• [cs.RO]Biomimetic Control of Myoelectric Prosthetic Hand Based on a Lambda-type Muscle Model
• [cs.RO]Contact Mode Guided Motion Planning for Dexterous Manipulation
• [cs.RO]DILIGENT-KIO: A Proprioceptive Base Estimator for Humanoid Robots using Extended Kalman Filtering on Matrix Lie Groups
• [cs.RO]Deformation Control of a Deformable Object Based on Visual and Tactile Feedback
• [cs.RO]Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control
• [cs.RO]On the Controllers Based on Time Delay Estimation for Robotic Manipulators
• [cs.RO]Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
• [cs.RO]Perceived Safety in Physical Human Robot Interaction — A Survey
• [cs.RO]Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
• [cs.RO]Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning
• [cs.RO]Robust Sample-Based Output-Feedback Path Planning
• [cs.RO]Safety Embedded Differential Dynamic Programming using Discrete Barrier States
• [cs.RO]Shaped Policy Search for Evolutionary Strategies using Waypoints
• [cs.RO]Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review
• [cs.RO]Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild
• [cs.SD]Singing Language Identification using a Deep Phonotactic Approach
• [cs.SI]Comparing Models for Extracting the Backbone of Bipartite Projections
• [cs.SI]Graph Similarity Description: How Are These Graphs Similar?
• [cs.SI]Retweet communities reveal the main sources of hate speech
• [cs.SI]Robust Dynamic Network Embedding via Ensembles
• [cs.SI]The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition
• [econ.EM]Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
• [eess.AS]Automatic audiovisual synchronisation for ultrasound tongue imaging
• [eess.AS]Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson’s Disease
• [eess.IV]BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring
• [eess.IV]Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
• [eess.IV]CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
• [eess.IV]Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
• [eess.IV]Covid-19 diagnosis from x-ray using neural networks
• [eess.IV]Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction
• [eess.IV]Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
• [eess.IV]Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network
• [eess.IV]Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
• [eess.IV]Refined Deep Neural Network and U-Net for Polyps Segmentation
• [eess.IV]SNIPS: Solving Noisy Inverse Problems Stochastically
• [eess.IV]Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
• [eess.SP]A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks
• [eess.SP]DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing
• [eess.SY]Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems
• [hep-ph]The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC
• [math.CO]The Sample Fréchet Mean of Sparse Graphs is Sparse
• [math.OC]Data-Driven Combinatorial Optimization with Incomplete Information: a Distributionally Robust Optimization Approach
• [math.OC]Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
• [math.OC]Policies for the Dynamic Traveling Maintainer Problem with Alerts
• [math.ST]Asymptotic Normality of the Posterior Distributions in a Class of Hidden Markov Models
• [math.ST]Improving Efficiency of Tests for Composite Null Hypotheses
• [math.ST]Lattice Conditional Independence Models and Hibi Ideals
• [math.ST]Optimal Spectral Recovery of a Planted Vector in a Subspace
• [math.ST]Optimality of the recursive Neyman allocation
• [math.ST]Robust Hypothesis Testing with Wasserstein Uncertainty Sets
• [math.ST]Sparse ANOVA Inspired Mixture Models
• [math.ST]The HulC: Confidence Regions from Convex Hulls
• [nlin.AO]A mechanism of Individualistic Indirect Reciprocity with internal and external dynamics
• [physics.soc-ph]Assessing disinformation through the dynamics of supply and demand in the news ecosystem
• [q-bio.MN]A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe
• [q-bio.NC]A remark on a paper of Krotov and Hopfield [arXiv:2008.06996]
• [quant-ph]Computation-aided classical-quantum multiple access to boost network communication speeds
• [stat.AP]A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications
• [stat.AP]How much telematics information do insurers need for claim classification?
• [stat.AP]The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis
• [stat.ME]Conformal Uncertainty Sets for Robust Optimization
• [stat.ME]Divide-and-Conquer Bayesian Inference in Hidden Markov Models
• [stat.ME]Fitting Structural Equation Models via Variational Approximations
• [stat.ME]Intrinsic Wasserstein Correlation Analysis
• [stat.ME]Normal Inverse Gaussian Autoregressive Model Using EM Algorithm
• [stat.ME]Orthogonal Subsampling for Big Data Linear Regression
• [stat.ME]Randomization Inference of Periodicity in Unequally Spaced Time Series with Application to Exoplanet Detection
• [stat.ME]Statistical Inference from Partially Nominated Sets: An Application to Estimating the Prevalence of Osteoporosis
• [stat.ME]The equivalence of the Delta method and the cluster-robust variance estimator for the analysis of clustered randomized experiments
• [stat.ME]Variational Inference for Latent Space Models for Dynamic Networks
• [stat.ML]A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees
• [stat.ML]Active Learning of Continuous-time Bayesian Networks through Interventions
• [stat.ML]Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
• [stat.ML]Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
• [stat.ML]Information Directed Sampling for Sparse Linear Bandits
• [stat.ML]Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
• [stat.ML]Parameter Estimation for the SEIR Model Using Recurrent Nets
• [stat.ML]Rapid Feature Evolution Accelerates Learning in Neural Networks
• [stat.ML]Representation Learning Beyond Linear Prediction Functions
• [stat.ML]Scalable and Interpretable Marked Point Processes
• [stat.ML]Sparse Uncertainty Representation in Deep Learning with Inducing Weights
• [stat.ML]Transfer Learning under High-dimensional Generalized Linear Models
• [stat.ML]Variational Autoencoders: A Harmonic Perspective

·····································

• [astro-ph.IM]First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning
Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit, Gilles Maurin, Patrick Lambert, Giovanni Lamanna
http://arxiv.org/abs/2105.14927v1

• [astro-ph.IM]Square Kilometre Array : Processing Voluminous MeerKAT Data on IRIS
Priyaa Thavasimani, Anna Scaife
http://arxiv.org/abs/2105.14613v1

• [cs.AI]Approximate Implication with d-Separation
Batya Kenig
http://arxiv.org/abs/2105.14463v1

• [cs.AI]Automated Timeline Length Selection for Flexible Timeline Summarization
Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang
http://arxiv.org/abs/2105.14201v1

• [cs.AI]Efficient and robust multi-task learning in the brain with modular task primitives
Christian David Marton, Guillaume Lajoie, Kanaka Rajan
http://arxiv.org/abs/2105.14108v1

• [cs.AI]Fine-Tuning the Odds in Bayesian Networks
Bahare Salmani, Joost-Pieter Katoen
http://arxiv.org/abs/2105.14371v1

• [cs.AI]GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin
http://arxiv.org/abs/2105.14517v1

• [cs.AI]Hybrid Henry Gas Solubility Optimization Algorithm with Dynamic Cluster-to-Algorithm Mapping for Search-based Software Engineering Problems
Kamal Z. Zamli, Md. Abdul Kader, Saiful Azad, Bestoun S. Ahmed
http://arxiv.org/abs/2105.14923v1

• [cs.AI]Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang
http://arxiv.org/abs/2105.14796v1

• [cs.AI]LTL-Constrained Steady-State Policy Synthesis
Jan Křetínský
http://arxiv.org/abs/2105.14894v1

• [cs.AI]Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling
http://arxiv.org/abs/2105.14074v1

• [cs.AI]Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor Nunes Coelho Jr
http://arxiv.org/abs/2105.14149v1

• [cs.AI]Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra
http://arxiv.org/abs/2105.15065v1

• [cs.AI]Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee
http://arxiv.org/abs/2105.14471v1

• [cs.AI]SMA
9e8
SH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT
Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier
http://arxiv.org/abs/2105.14915v1

• [cs.AI]Sentiment analysis in tweets: an assessment study from classical to modern text representation models
Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino
http://arxiv.org/abs/2105.14373v1

• [cs.AI]Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency
Ori Sztyglic, Andrey Zhitnikov, Vadim Indelman
http://arxiv.org/abs/2105.14239v1

• [cs.AI]The Role of Entropy in Guiding a Connection Prover
Zsolt Zombori, Josef Urban, Miroslav Olšák
http://arxiv.org/abs/2105.14706v1

• [cs.AI]Towards a General Many-Sorted Framework for Describing Certain Kinds of Legal Statutes with a Potential Computational Realization
Danny A. J. Gomez-Ramirez, Egil Nordqvist
http://arxiv.org/abs/2105.14212v1

• [cs.AR]ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
Muhui Jiang, Lin Ma, Yajin Zhou, Qiang Liu, Cen Zhang, Zhi Wang, Xiapu Luo, Lei Wu, Kui Ren
http://arxiv.org/abs/2105.14295v1

• [cs.CL]A Multilingual Modeling Method for Span-Extraction Reading Comprehension
Gaochen Wu, Bin Xu, Dejie Chang, Bangchang Liu
http://arxiv.org/abs/2105.14880v1

• [cs.CL]A Semantic-based Method for Unsupervised Commonsense Question Answering
Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang
http://arxiv.org/abs/2105.14781v1

• [cs.CL]A Simple Voting Mechanism for Online Sexist Content Identification
Chao Feng
http://arxiv.org/abs/2105.14309v1

• [cs.CL]Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn, Mona Diab
http://arxiv.org/abs/2105.15071v1

• [cs.CL]An Exploratory Analysis of the Relation Between Offensive Language and Mental Health
Ana-Maria Bucur, Marcos Zampieri, Liviu P. Dinu
http://arxiv.org/abs/2105.14888v1

• [cs.CL]Attention Flows are Shapley Value Explanations
Kawin Ethayarajh, Dan Jurafsky
http://arxiv.org/abs/2105.14652v1

• [cs.CL]Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods
Ovishake Sen, Mohtasim Fuad, MD. Nazrul Islam, Jakaria Rabbi, MD. Kamrul Hasan, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, MD. Akil Raihan Iftee
http://arxiv.org/abs/2105.14875v1

• [cs.CL]Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
Eleftheria Briakou, Marine Carpuat
http://arxiv.org/abs/2105.15087v1

• [cs.CL]CLEVE: Contrastive Pre-training for Event Extraction
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
http://arxiv.org/abs/2105.14485v1

• [cs.CL]Cascaded Head-colliding Attention
Lin Zheng, Zhiyong Wu, Lingpeng Kong
http://arxiv.org/abs/2105.14850v1

• [cs.CL]CoDesc: A Large Code-Description Parallel Dataset
Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq, Kazi Sajeed Mehrab, Md. Mahim Anjum Haque, Tahmid Hasan, Wasi Uddin Ahmad, Anindya Iqbal, Rifat Shahriyar
http://arxiv.org/abs/2105.14220v1

• [cs.CL]CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model
Tae-Hwan Jung
http://arxiv.org/abs/2105.14242v1

• [cs.CL]Constructing Flow Graphs from Procedural Cybersecurity Texts
Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral
http://arxiv.org/abs/2105.14357v1

• [cs.CL]Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition
Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie
http://arxiv.org/abs/2105.14980v1

• [cs.CL]Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
Rongzhou Bao, Jiayi Wang, Hai Zhao
http://arxiv.org/abs/2105.14553v1

• [cs.CL]Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
Linzi Xing, Wen Xiao, Giuseppe Carenini
http://arxiv.org/abs/2105.14241v1

• [cs.CL]DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu
http://arxiv.org/abs/2105.15033v1

• [cs.CL]Diversifying Dialog Generation via Adaptive Label Smoothing
Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang
http://arxiv.org/abs/2105.14556v1

• [cs.CL]Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?
Zae Myung Kim, Laurent Besacier, Vassilina Nikoulina, Didier Schwab
http://arxiv.org/abs/2105.14940v1

• [cs.CL]Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang
http://arxiv.org/abs/2105.14924v1

• [cs.CL]Effective Batching for Recurrent Neural Network Grammars
Hiroshi Noji, Yohei Oseki
http://arxiv.org/abs/2105.14822v1

• [cs.CL]Emotional Voice Conversion: Theory, Databases and ESD
Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li
http://arxiv.org/abs/2105.14762v1

• [cs.CL]Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
Chong Li, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
http://arxiv.org/abs/2105.14813v1

• [cs.CL]Factorising Meaning and Form for Intent-Preserving Paraphrasing
Tom Hosking, Mirella Lapata
http://arxiv.org/abs/2105.15053v1

• [cs.CL]Fast Nearest Neighbor Machine Translation
Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li
http://arxiv.org/abs/2105.14528v1

• [cs.CL]Fully Hyperbolic Neural Networks
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
http://arxiv.org/abs/2105.14686v1

• [cs.CL]G-Transformer for Document-level Machine Translation
Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen, Weihua Luo
http://arxiv.org/abs/2105.14761v1

• [cs.CL]GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation
Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi
http://arxiv.org/abs/2105.14913v1

• [cs.CL]Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao
http://arxiv.org/abs/2105.14462v1

• [cs.CL]Grammar Accuracy Evaluation (GAE): Quantifiable Intrinsic Evaluation of Machine Translation Models
Dojun Park, Youngjin Jang, Harksoo Kim
http://arxiv.org/abs/2105.14277v1

• [cs.CL]Greedy Layer Pruning: Decreasing Inference Time of Transformer Models
David Peer, Sebastian Stabinger, Stefan Engl, Antonio Rodriguez-Sanchez
http://arxiv.org/abs/2105.14839v1

• [cs.CL]HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md Shad Akhtar
http://arxiv.org/abs/2105.14600v1

• [cs.CL]How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship
Jussi Karlgren
http://arxiv.org/abs/2105.14921v1

• [cs.CL]How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L Dahl, Émilie Pagé-Perron
http://arxiv.org/abs/2105.14515v1

• [cs.CL]How transfer learning impacts linguistic knowledge in deep NLP models?
Nadir Durrani, Hassan Sajjad, Fahim Dalvi
http://arxiv.org/abs/2105.15179v1

• [cs.CL]Is Sluice Resolution really just Question Answering?
Peratham Wiriyathammabhum
http://arxiv.org/abs/2105.14347v1

• [cs.CL]Korean-English Machine Translation with Multiple Tokenization Strategy
Dojun Park, Youngjin Jang, Harksoo Kim
http://arxiv.org/abs/2105.14274v1

• [cs.CL]LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
Erfan Ghadery, Damien Sileo, Marie-Francine Moens
http://arxiv.org/abs/2105.14774v1

• [cs.CL]Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking
Fangyu Liu, Ivan Vulić, Anna Korhonen, Nigel Collier
http://arxiv.org/abs/2105.14398v1

• [cs.CL]Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training
Wangchunshu Zhou, Qifei Li, Chenle Li
http://arxiv.org/abs/2105.15171v1

• [cs.CL]MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models
Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney
http://arxiv.org/abs/2105.14636v1

• [cs.CL]Maintaining Common Ground in Dynamic Environments
Takuma Udagawa, Akiko Aizawa
http://arxiv.org/abs/2105.14207v1

• [cs.CL]Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
http://arxiv.org/abs/2105.14289v1

• [cs.CL]Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation
Shuhe Wang, Yuxian Meng, Xiaofei Sun, Fei Wu, Rongbin Ouyang, Rui Yan, Tianwei Zhang, Jiwei Li
http://arxiv.org/abs/2105.14445v1

• [cs.CL]NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search
Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/2105.14444v1

• [cs.CL]Neural Bi-Lexicalized PCFG Induction
Songlin Yang, Yanpeng Zhao, Kewei Tu
http://arxiv.org/abs/2105.15021v1

• [cs.CL]NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
Zeming Chen, Qiyue Gao, Lawrence S. Moss
http://arxiv.org/abs/2105.14167v1

• [cs.CL]NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
Sungdong Kim, Minsuk Chang, Sang-Woo Lee
http://arxiv.org/abs/2105.14454v1

• [cs.CL]Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
http://arxiv.org/abs/2105.14313v1

• [cs.CL]On Compositional Generalization of Neural Machine Translation
Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang
http://arxiv.org/abs/2105.14802v1

• [cs.CL]On the Interplay Between Fine-tuning and Composition in Transformers
Lang Yu, Allyson Ettinger
http://arxiv.org/abs/2105.14668v1

• [cs.CL]Pre-training Universal Language Representation
Yian Li, Hai Zhao
http://arxiv.org/abs/2105.14478v1

• [cs.CL]Predictive Representation Learning for Language Modeling
Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe
http://arxiv.org/abs/2105.14214v1

• [cs.CL]Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
http://arxiv.org/abs/2105.14189v1

• [cs.CL]REAM: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation
Jun Gao, Wei Bi, Ruifeng Xu, Shuming Shi
http://arxiv.org/abs/2105.14488v1

• [cs.CL]Reinforced Generative Adversarial Network for Abstractive Text Summarization
Tianyang Xu, Chunyun Zhang
http://arxiv.org/abs/2105.15176v1

• [cs.CL]SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence
Luong Luc Phan, Phuc Huynh Pham, Kim Thi-Thanh Nguyen, Tham Thi Nguyen, Sieu Khai Huynh, Luan Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen
http://arxiv.org/abs/2105.15079v1

• [cs.CL]SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhenhua Ling, Quan Liu, Si Wei, Xiaodan Zhu
http://arxiv.org/abs/2105.14879v1

• [cs.CL]Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation
Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2105.14778v1

• [cs.CL]Structured Sentiment Analysis as Dependency Graph Parsing
Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal
http://arxiv.org/abs/2105.14504v1

• [cs.CL]Supporting Cognitive and Emotional Empathic Writing of Students
Thiemo Wambsganss, Christina Niklaus, Matthias Söllner, Siegfried Handschuh, Jan Marco Leimeister
http://arxiv.org/abs/2105.14815v1

• [cs.CL]Telling Stories through Multi-User Dialogue by Modeling Character Relations
Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl
http://arxiv.org/abs/2105.15054v1

• [cs.CL]Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali, Ahmed Ali
http://arxiv.org/abs/2105.14779v1

• [cs.CL]Transfer Learning for Sequence Generation: from Single-source to Multi-source
Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu
http://arxiv.org/abs/2105.14809v1

• [cs.CL]Verdi: Quality Estimation and Error Detection for Bilingual
Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
http://arxiv.org/abs/2105.14878v1

• [cs.CL]Zero-shot Fact Verification by Claim Generation
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang
http://arxiv.org/abs/2105.14682v1

• [cs.CR]Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks
Ramy Maarouf, Danish Sattar, Ashraf Matrawy
http://arxiv.org/abs/2105.14564v1

• [cs.CR]FED-: Privacy Preserving Federated Correlation Test
Lun Wang, Qi Pang, Shuai Wang, Dawn Song
http://arxiv.org/abs/2105.14618v1

• [cs.CV]1N Block Pattern for Network Sparsity
Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
http://arxiv.org/abs/2105.14713v1

• [cs.CV]A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access
AprilPyone MaungMaung, Hitoshi Kiya
http://arxiv.org/abs/2105.14756v1

• [cs.CV]A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li
http://arxiv.org/abs/2105.14327v1

• [cs.CV]A Study On the Effects of Pre-processing On Spatio-temporal Action Recognition Using Spiking Neural Networks Trained with STDP
El-Assal Mireille, Tirilly Pierre, Bilasco Ioan Marius
http://arxiv.org/abs/2105.14740v1

• [cs.CV]ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection
Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee
http://arxiv.org/abs/2105.14891v1

• [cs.CV]Adaptive Feature Alignment for Adversarial Training
Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang
http://arxiv.org/abs/2105.15157v1

• [cs.CV]Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
http://arxiv.org/abs/2105.15089v1

• [cs.CV]Analysis and Applications of Class-wise Robustness in Adversarial Training
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
http://arxiv.org/abs/2105.14240v1

• [cs.CV]ArtGraph: Towards an Artistic Knowledge Graph
Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio
http://arxiv.org/abs/2105.15028v1

• [cs.CV]Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment
Tashnim Chowdhury, Maryam Rahnemoonfar
http://arxiv.org/abs/2105.14540v1

• [cs.CV]Augmenting Anchors by the Detector Itself
Xiaopei Wan, Shengjie Chen, Yujiu Yang, Zhenhua Guo, Fangbo Tao
http://arxiv.org/abs/2105.14086v1

• [cs.CV]Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Yuanpeng Liu, Qinglei Hui, Zhiyi Peng, Shaolin Gong, Dexing Kong
http://arxiv.org/abs/2105.14314v1

• [cs.CV]BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Deng Yongqiang, Wang Dengjiang, Cao Gang, Ma Bing, Guan Xijia, Wang Yajun, Liu Jianchao, Fang Yanming, Li Juanjuan
http://arxiv.org/abs/2105.14370v1

• [cs.CV]Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Yang He, Ning Yu, Margret Keuper, Mario Fritz
http://arxiv.org/abs/2105.14376v1

• [cs.CV]Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification
Amélie Gruel, Jean Martinet
http://arxiv.org/abs/2105.14753v1

• [cs.CV]Bounded logit attention: Learning to explain image classifiers
Thomas Baumhauer, Djordje Slijepcevic, Matthias Zeppelzauer
http://arxiv.org/abs/2105.14824v1

• [cs.CV]Can Attention Enable MLPs To Catch Up With CNNs?
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu
http://arxiv.org/abs/2105.15078v1

• [cs.CV]Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler
http://arxiv.org/abs/2105.14250v1

• [cs.CV]Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Hengrong Lan, Juze Zhang, Changchun Yang, Fei Gao
http://arxiv.org/abs/2105.14255v1

• [cs.CV]Connecting Language and Vision for Natural Language-Based Vehicle Retrieval
Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang
http://arxiv.org/abs/2105.14897v1

• [cs.CV]Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization
Jichao Zhang, Aliaksandr Siarohin, Hao Tang, Jingjing Chen, Enver Sangineto, Wei Wang, Nicu Sebe
http://arxiv.org/abs/2105.14739v1

• [cs.CV]DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows
Samuel von Baußnern, Johannes Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann
http://arxiv.org/abs/2105.14638v1

• [cs.CV]Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Bowen Wen, Chaitanya Mitash, Kostas Bekris
http://arxiv.org/abs/2105.14391v1

• [cs.CV]Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview
Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He
http://arxiv.org/abs/2105.14291v1

• [cs.CV]Demographic Fairness in Biometric Systems: What do the Experts say?
Christian Rathgeb, Pawel Drozdowski, Naser Damer, Dinusha C. Frings, Christoph Busch
http://arxiv.org/abs/2105.14844v1

• [cs.CV]Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
Mingfu Xue, Yinghao Wu, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu
http://arxiv.org/abs/2105.14259v1

• [cs.CV]Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring Using Deep Learning
Mahdi Bonyani, Mina Rahmanian, Simindokht Jahangard
http://arxiv.org/abs/2105.14790v1

• [cs.CV]Dual-stream Network for Visual Recognition
Mingyuan Mao, Honghui Zheng, Peng Gao, Teli Ma, Yan Peng, Errui Ding, Shumin Han
http://arxiv.org/abs/2105.14734v1

• [cs.CV]E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
J. Brennan Peace, Eric Psota, Yanfeng Liu, Lance C. Pérez
http://arxiv.org/abs/2105.14184v1

• [cs.CV]EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network
Hu Zhang, Keke Zu, Jian Lu, Yuru Zou, Deyu Meng
http://arxiv.org/abs/2105.14447v1

• [cs.CV]Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
Ben Chugg, Brandon Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
http://arxiv.org/abs/2105.14159v1

• [cs.CV]FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen
http://arxiv.org/abs/2105.14185v1

• [cs.CV]FoveaTer: Foveated Transformer for Image Classification
Aditya Jonnalagadda, William Wang, Miguel P. Eckstein
http://arxiv.org/abs/2105.14173v1

• [cs.CV]Foveal-pit inspired filtering of DVS spike response
Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona
http://arxiv.org/abs/2105.14331v1

• [cs.CV]Gaze Estimation using Transformer
Yihua Cheng, Feng Lu
http://arxiv.org/abs/2105.14424v1

• [cs.CV]Identity and Attribute Preserving Thumbnail Upscaling
Noam Gat, Sagie Benaim, Lior Wolf
http://arxiv.org/abs/2105.14609v1

• [cs.CV]Image-to-Video Generation via 3D Facial Dynamics
Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng
http://arxiv.org/abs/2105.14678v1

• [cs.CV]Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
Shriya T. P. Gupta, Basabdatta Sen Bhattacharya
http://arxiv.org/abs/2105.14326v1

• [cs.CV]Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration
Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong
http://arxiv.org/abs/2105.14683v1

• [cs.CV]Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
Qi Lu, Chuyang Ye
http://arxiv.org/abs/2105.14513v1

• [cs.CV]LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Zujie Liang, Haifeng Hu, Jiaying Zhu
http://arxiv.org/abs/2105.14300v1

• [cs.CV]Large-Scale Spatio-Temporal Person Re-identification: Algorithm and Benchmark
Xiujun Shu, Xiao Wang, Shiliang Zhang, Xianghao Zhang, Yuanqi Chen, Ge Li, Qi Tian
http://arxiv.org/abs/2105.15076v1

• [cs.CV]Learning Convolutions with Only Additions
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang
http://arxiv.org/abs/2105.14202v1

• [cs.CV]Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
Harim Jung, Myeong-Seok Oh, Seong-Whan Lee
http://arxiv.org/abs/2105.14857v1

• [cs.CV]Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
http://arxiv.org/abs/2105.14773v1

• [cs.CV]Learning Personal Style from Few Examples
David Chuan-En Lin, Nikolas Martelaro
http://arxiv.org/abs/2105.14457v1

• [cs.CV]Less is More: Pay Less Attention in Vision Transformers
Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai
http://arxiv.org/abs/2105.14217v1

• [cs.CV]Long-term Person Re-identification: A Benchmark
Peng Xu, Xiatian Zhu
http://arxiv.org/abs/2105.14685v1

• [cs.CV]Longer Version for “Deep Context-Encoding Network for Retinal Image Captioning”
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
http://arxiv.org/abs/2105.14538v1

• [cs.CV]MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment
Andrey Bokovoy, Kirill Muravyev, Konstantin Yakovlev
http://arxiv.org/abs/2105.14994v1

• [cs.CV]MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian
http://arxiv.org/abs/2105.15168v1

• [cs.CV]Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures
Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
http://arxiv.org/abs/2105.14572v1

• [cs.CV]Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection
Ting Liu, Jungang Yang, Boyang Li, Chao Xiao, Yang Sun, Yingqian Wang, Wei An
http://arxiv.org/abs/2105.14974v1

• [cs.CV]Non-local Patch-based Low-rank Tensor Ring Completion for Visual Data
Yicong He, George K. Atia
http://arxiv.org/abs/2105.14620v1

• [cs.CV]Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length
Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang
http://arxiv.org/abs/2105.15075v1

• [cs.CV]Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents
Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda
http://arxiv.org/abs/2105.15093v1

• [cs.CV]Polygonal Point Set Tracking
Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim
http://arxiv.org/abs/2105.14584v1

• [cs.CV]RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
http://arxiv.org/abs/2105.14797v1

• [cs.CV]RPG: Learning Recursive Point Cloud Generation
Wei-Jan Ko, Hui-Yu Huang, Yu-Liang Kuo, Chen-Yi Chiu, Li-Heng Wang, Wei-Chen Chiu
http://arxiv.org/abs/2105.14322v1

• [cs.CV]Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing
Jianning Wu, Zhuqing Jiang, Shiping Wen, Aidong Men, Haiying Wang
http://arxiv.org/abs/2105.14430v1

• [cs.CV]SDNet: mutil-branch for single image deraining using swin
Fuxiang Tan, YuTing Kong, Yingying Fan, Feng Liu, Daxin Zhou, Hao zhang, Long Chen, Liang Gao, Yurong Qian
http://arxiv.org/abs/2105.15077v1

• [cs.CV]SN-Graph: a Minimalist 3D Object Representation for Classification
Siyu Zhang, Hui Cao, Yuqi Liu, Shen Cai, Yanting Zhang, Yuanzhan Li, Xiaoyu Chi
http://arxiv.org/abs/2105.14784v1

• [cs.CV]Scene-aware Generative Network for Human Motion Synthesis
Jingbo Wang, Sijie Yan, Bo Dai, Dahua LIn
http://arxiv.org/abs/2105.14804v1

• [cs.CV]Scorpion detection and classification systems based on computer vision and deep learning for health security purposes
Francisco Luis Giambelluca, Marcelo A. Cappelletti, Jorge Osio, Luis A. Giambelluca
http://arxiv.org/abs/2105.15041v1

• [cs.CV]SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo
http://arxiv.org/abs/2105.15203v1

• [cs.CV]Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
Jin-Hwa Kim, Do-Hyeong Kim, Saehoon Yi, Taehoon Lee
http://arxiv.org/abs/2105.14737v1

• [cs.CV]StyTr^2: Unbiased Image Style Transfer with Transformers
Yingying Deng, Fan Tang, Xingjia Pan, Weiming Dong, ChongyangMa, Changsheng Xu
http://arxiv.org/abs/2105.14576v1

• [cs.CV]The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen, Daeyoung Kim, Anh Nguyen
http://arxiv.org/abs/2105.14944v1

• [cs.CV]Three-dimensional multimodal medical imaging system based on free-hand ultrasound and structured light
Jhacson Meza, Sonia H. Contreras-Ortiz, Lenny A. Romero, Andres G. Marrugo
http://arxiv.org/abs/2105.14355v1

• [cs.CV]Towards Diverse Paragraph Captioning for Untrimmed Videos
Yuqing Song, Shizhe Chen, Qin Jin
http://arxiv.org/abs/2105.14477v1

• [cs.CV]Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
Chaehyeon Lee, Junghoon Seo, Heechul Jung
http://arxiv.org/abs/2105.14693v1

• [cs.CV]Transferable Sparse Adversarial Attack
Ziwen He, Wei Wang, Jing Dong, Tieniu Tan
http://arxiv.org/abs/2105.14727v1

• [cs.CV]Transformer-Based Deep Image Matching for Generalizable Person Re-identification
Shengcai Liao, Ling Shao
http://arxiv.org/abs/2105.14432v1

• [cs.CV]Transformer-Based Source-Free Domain Adaptation
Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci
http://arxiv.org/abs/2105.14138v1

• [cs.CV]Transforming the Latent Space of StyleGAN for Real Face Editing
Heyi Li, Jinlong Liu, Yunzhi Bai, Huayan Wang, Klaus Mueller
http://arxiv.org/abs/2105.14230v1

• [cs.CV]UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2105.14211v1

• [cs.CV]Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Jianfeng Li, Junqiao Zhao, Shuangfu Song, Tiantian Feng
http://arxiv.org/abs/2105.14520v1

• [cs.CV]Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
Henry Bradler, Adrian Kretz, Rudolf Mester
http://arxiv.org/abs/2105.14993v1

• [cs.CV]VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Pengyi Zhang, Huanzhang Dou, Wenhu Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Xi Li
http://arxiv.org/abs/2105.14421v1

• [cs.CV]VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
Yuan Gan, Yawei Luo, Xin Yu, Bang Zhang, Yi Yang
http://arxiv.org/abs/2105.14954v1

• [cs.CY]A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach
Martin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Difallah
http://arxiv.org/abs/2105.15110v1

• [cs.CY]Are Privacy Dashboards Good for End Users? Evaluating User Perceptions and Reactions to Google’s My Activity (Extended Version)
Florian M. Farke, David G. Balash, Maximilian Golla, Markus Dürmuth, Adam J. Aviv
http://arxiv.org/abs/2105.14066v1

• [cs.CY]Correcting public opinion trends through Bayesian data assimilation
Robin Hendrickx, Rossella Arcucci, Julio Amador Dıaz Lopez, Yi-Ke Guo, Mark Kennedy
http://arxiv.org/abs/2105.14276v1

• [cs.CY]How the University Portal Inspired Changes in the Academic Assessment Culture
Valerii Semenets, Svitlana Gryshko, Mariia Golovianko, Oleksandr Shevchenko, Liudmyla Titova, Olena Kaikova, Vagan Terziyan, Timo Tiihonen
http://arxiv.org/abs/2105.14154v1

• [cs.CY]Leveraging Mobile Phone Data for Migration Flows
Massimiliano Luca, Gianni Barlacchi, Nuria Oliver, Bruno Lepri
http://arxiv.org/abs/2105.14956v1

• [cs.CY]Organizational Artifacts of Code Development
Parisa Kaghazgaran, Nichola Lubold, Fred Morstatter
http://arxiv.org/abs/2105.14637v1

• [cs.CY]Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories
Geoffrey G. Messier, Caleb John, Ayush Malik
http://arxiv.org/abs/2105.15080v1

• [cs.DC]2.5-dimensional distributed model training
Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You
http://arxiv.org/abs/2105.14500v1

• [cs.DC]Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering
Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze
http://arxiv.org/abs/2105.14088v1

• [cs.DC]Communication efficient privacy-preserving distributed optimization using adaptive differential quantization
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
http://arxiv.org/abs/2105.14416v1

• [cs.DC]Maximizing Parallelism in Distributed Training for Huge Neural Networks
Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You
http://arxiv.org/abs/2105.14450v1

• [cs.DC]On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor
http://arxiv.org/abs/2105.14708v1

• [cs.DC]Power and Performance Efficient SDN-Enabled Fog Architecture
Adnan Akhunzada, Sherali Zeadally, Saif ul Islam
http://arxiv.org/abs/2105.14607v1

• [cs.DC]SMURF: Efficient and Scalable Metadata Access for Distributed Applications
Bing Zhang, Tevfik Kosar
http://arxiv.org/abs/2105.14157v1

• [cs.DC]System-aware dynamic partitioning for batch and streaming workloads
Zoltán Zvara, Péter G. N. Szabó, Balázs Barnabás Lóránt, András A. Benczúr
http://arxiv.org/abs/2105.15023v1

• [cs.DC]WfCommons: A Framework for Enabling Scientific Workflow Research and Development
Tainã Coleman, Henri Casanova, Loïc Pottier, Manav Kaushik, Ewa Deelman, Rafael Ferreira da Silva
http://arxiv.org/abs/2105.14352v1

• [cs.DC]With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions
Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues
http://arxiv.org/abs/2105.14845v1

• [cs.DL]Determining the Credibility of Science Communication
Isabelle Augenstein
http://arxiv.org/abs/2105.14473v1

• [cs.DL]Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences
Luca Bedogni, Giacomo Cabri, Riccardo Martoglia, Francesco Poggi
http://arxiv.org/abs/2105.14838v1

• [cs.DL]Long-term Scientific Impact Revisited
Sandro M. Reia, José F. Fontanari
http://arxiv.org/abs/2105.14918v1

• [cs.DL]The x-index: A new citation-distance-based index to measure academic influence
Yun Wan, Feng Xiao, Bintong Chen, Zhenghao Zhong
http://arxiv.org/abs/2105.14759v1

• [cs.DS]Locally Private -Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
Anamay Chaturvedi, Matthew Jones, Huy L. Nguyen
http://arxiv.org/abs/2105.15007v1

• [cs.GR]Z2P: Instant Rendering of Point Clouds
Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or
http://arxiv.org/abs/2105.14548v1

• [cs.IR]CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval
Hao Cheng, Ping Wang, Chun Qi
http://arxiv.org/abs/2105.14566v1

• [cs.IR]DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
Liqi Yang, Linhan Luo, Lifeng Xin, Xiaofeng Zhang, Xinni Zhang
http://arxiv.org/abs/2105.14428v1

• [cs.IR]Enumerating Fair Packages for Group Recommendations
Ryoma Sato
http://arxiv.org/abs/2105.14423v1

• [cs.IR]Generating Interesting Song-to-Song Segues With Dave
Giovanni Gabbolini, Derek Bridge
http://arxiv.org/abs/2105.14909v1

• [cs.IR]ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX
Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh
http://arxiv.org/abs/2105.14426v1

• [cs.IR]Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
http://arxiv.org/abs/2105.14688v1

• [cs.IR]Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2105.14068v1

• [cs.IR]Multimodal Detection of Information Disorder from Social Media
Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer
http://arxiv.org/abs/2105.15165v1

• [cs.IR]Personalization in E-Grocery: Top-N versus Top-k Rankings
Franziska Scherpinski, Stefan Lessmann
http://arxiv.org/abs/2105.14599v1

• [cs.IR]Privileged Graph Distillation for Cold Start Recommendation
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
http://arxiv.org/abs/2105.14975v1

• [cs.IR]Recommendations and Results Organization in Netflix Search
Sudarshan Lamkhede, Christoph Kofler
http://arxiv.org/abs/2105.14134v1

• [cs.IR]The Evaluation of Rating Systems in Team-based Battle Royale Games
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher
http://arxiv.org/abs/2105.14069v1

• [cs.IT]A Capacity Region Outer Bound for the Two-User Dispersive Nonlinear Fiber Optical Channel
Viswanathan Ramachandran, Astrid Barreiro, Gabriele Liga, Alex Alvarado
http://arxiv.org/abs/2105.14964v1

• [cs.IT]A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System
Chen He, Xie Xie, Kun Yang, Z. Jane Wang
http://arxiv.org/abs/2105.14545v1

• [cs.IT]A New Transmit Antenna Selection Technique for Physical Layer Security with Strong Eavesdropping
Gonzalo J. Anaya-López, J. Carlos Ruiz-Sicilia, F. Javier López-Martínez
http://arxiv.org/abs/2105.14950v1

• [cs.IT]Advantages of NOMA for Multi-User BackCom Networks
Zhiguo Ding, H. Vincent Poor
http://arxiv.org/abs/2105.14830v1

• [cs.IT]Comparison-limited Vector Quantization
Joseph Chataignon, Stefano Rini
http://arxiv.org/abs/2105.14464v1

• [cs.IT]Emergence and algorithmic information dynamics of systems and observers
Felipe S. Abrahão, Hector Zenil
http://arxiv.org/abs/2105.14707v1

• [cs.IT]Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms
Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao
http://arxiv.org/abs/2105.15161v1

• [cs.IT]Energy-Efficient Precoding in Electromagnetic Exposure-Constrained Uplink Multiuser MIMO
Jiayuan Xiong, Li You, Derrick Wing Kwan Ng, Wenjin Wang, Xiqi Gao
http://arxiv.org/abs/2105.15174v1

• [cs.IT]Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
Jiancheng An, Chao Xu, Li Wang, Yusha Liu, Lu Gan, Lajos Hanzo
http://arxiv.org/abs/2105.14484v1

• [cs.IT]List-decoding and list-recovery of Reed-Solomon codes beyond the Johnson radius for any rate
Eitan Goldberg, Chong Shangguan, Itzhak Tamo
http://arxiv.org/abs/2105.14754v1

• [cs.IT]On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel
Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran
http://arxiv.org/abs/2105.14641v1

• [cs.IT]Performance of Dual-Hop Relaying for OWC System Over Foggy Channel with Pointing Errors and Atmospheric Turbulence
Ziyaur Rahman, Tejas Nimish Shah, S. M. Zafaruddin, V. K. Chaubey
http://arxiv.org/abs/2105.14256v1

• [cs.IT]Secret sharing schemes from hypersurfaces over finite fields
Angela Aguglia, Michela Ceria, Luca Giuzzi
http://arxiv.org/abs/2105.14508v1

• [cs.IT]Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation
Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao
http://arxiv.org/abs/2105.14304v1

• [cs.IT]Sum-rank product codes and bounds on the minimum distance
Gianira N. Alfarano, F. J. Lobillo, Alessandro Neri, Antonia Wachter-Zeh
http://arxiv.org/abs/2105.15086v1

• [cs.IT]The Dantzig selector: Recovery of Signal via Minimization
Huanmin Ge, Peng Li
http://arxiv.org/abs/2105.14229v1

• [cs.IT]The Jacobi sums over Galois rings of arbitrary characters and their applications in constructing asymptotically optimal codebooks
Deng-Ming Xu, Chen Meng, Gang Wang, Fang-Wei Fu
http://arxiv.org/abs/2105.14177v1

• [cs.IT]Transmission Delay Minimization via Joint Power Control and Caching in Wireless HetNets
Derya Malak, Faruk V. Mutlu, Jinkun Zhang, Edmund M. Yeh
http://arxiv.org/abs/2105.14380v1

• [cs.LG]A Federated Learning Framework for Nonconvex-PL Minimax Problems
Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
http://arxiv.org/abs/2105.14216v1

• [cs.LG]A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
http://arxiv.org/abs/2105.14673v1

• [cs.LG]A Stochastic Alternating Balance -Means Algorithm for Fair Clustering
Suyun Liu, Luis Nunes Vicente
http://arxiv.org/abs/2105.14172v1

• [cs.LG]A unified view of likelihood ratio and reparameterization gradients
Paavo Parmas, Masashi Sugiyama
http://arxiv.org/abs/2105.14900v1

• [cs.LG]ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations
Sheo Yon Jhin, Minju Jo, Taeyong Kong, Jinsung Jeon, Noseong Park
http://arxiv.org/abs/2105.14953v1

• [cs.LG]ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Alek Dimitriev, Mingyuan Zhou
http://arxiv.org/abs/2105.14141v1

• [cs.LG]Adaptive Multi-Source Causal Inference
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
http://arxiv.org/abs/2105.14877v1

• [cs.LG]Adversarial Training with Rectified Rejection
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
http://arxiv.org/abs/2105.14785v1

• [cs.LG]An exact counterfactual-example-based approach to tree-ensemble models interpretability
Pierre Blanchart
http://arxiv.org/abs/2105.14820v1

• [cs.LG]An improved LogNNet classifier for IoT application
Hanif Heidari, Andrei Velichko
http://arxiv.org/abs/2105.14412v1

• [cs.LG]Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Gorriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi
http://arxiv.org/abs/2105.14278v1

• [cs.LG]Asymptotically Optimal Bandits under Weighted Information
Matias I. Müller, Cristian R. Rojas
http://arxiv.org/abs/2105.14114v1

• [cs.LG]BABA: Beta Approximation for Bayesian Active Learning
Jae Oh Woo
http://arxiv.org/abs/2105.14559v1

• [cs.LG]Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut
http://arxiv.org/abs/2105.14099v1

• [cs.LG]CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model
Arnav Choudhry, Brady Moon, Jay Patrikar, Constantine Samaras, Sebastian Scherer
http://arxiv.org/abs/2105.15189v1

• [cs.LG]Choose a Transformer: Fourier or Galerkin
Shuhao Cao
http://arxiv.org/abs/2105.14995v1

• [cs.LG]Consistency Regularization for Variational Auto-Encoders
Samarth Sinha, Adji B. Dieng
http://arxiv.org/abs/2105.14859v1

• [cs.LG]DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard
http://arxiv.org/abs/2105.15164v1

• [cs.LG]Deconvolutional Density Network: Free-Form Conditional Density Estimation
Bing Chen, Mazharul Islam, Lin Wang, Jisuo Gao, Jeff Orchard
http://arxiv.org/abs/2105.14367v1

• [cs.LG]Deep Fair Discriminative Clustering
Hongjing Zhang, Ian Davidson
http://arxiv.org/abs/2105.14146v1

• [cs.LG]Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network
Vannessa de J. Duarte, Paul Leger, Sergio Contreras, Hiroaki Fukuda
http://arxiv.org/abs/2105.15074v1

• [cs.LG]Dominant Patterns: Critical Features Hidden in Deep Neural Networks
Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang
http://arxiv.org/abs/2105.15057v1

• [cs.LG]EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment
Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
http://arxiv.org/abs/2105.14162v1

• [cs.LG]Efficient Hierarchical Exploration with Stable Subgoal Representation Learning
Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang
http://arxiv.org/abs/2105.14750v1

• [cs.LG]Efficient and Modular Implicit Differentiation
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
http://arxiv.org/abs/2105.15183v1

• [cs.LG]Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu
http://arxiv.org/abs/2105.14573v1

• [cs.LG]Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
http://arxiv.org/abs/2105.14772v1

• [cs.LG]Exploring Sparse Expert Models and Beyond
An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2105.15082v1

• [cs.LG]Fast, Accurate and Interpretable Time Series Classification Through Randomization
Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik
http://arxiv.org/abs/2105.14876v1

• [cs.LG]GINA: Neural Relational Inference From Independent Snapshots
Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, Verena Wolf
http://arxiv.org/abs/2105.14329v1

• [cs.LG]Gradient-based Data Subversion Attack Against Binary Classifiers
Rosni K Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha
http://arxiv.org/abs/2105.14803v1

• [cs.LG]Greedy Bayesian Posterior Approximation with Deep Ensembles
Aleksei Tiulpin, Matthew B. Blaschko
http://arxiv.org/abs/2105.14275v1

• [cs.LG]Hashing-Accelerated Graph Neural Networks for Link Prediction
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl
http://arxiv.org/abs/2105.14280v1

• [cs.LG]How effective are Graph Neural Networks in Fraud Detection for Network Data?
Ronald D. R. Pereira, Fabrício Murai
http://arxiv.org/abs/2105.14568v1

• [cs.LG]Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause
Jivitesh Sharma, Rohan Yadav, Ole-Christoffer Granmo, Lei Jiao
http://arxiv.org/abs/2105.14506v1

• [cs.LG]Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score
David Macêdo, Teresa Ludermir
http://arxiv.org/abs/2105.14399v1

• [cs.LG]Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
http://arxiv.org/abs/2105.14125v1

• [cs.LG]Large-Scale Data-Driven Airline Market Influence Maximization
Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park
http://arxiv.org/abs/2105.15012v1

• [cs.LG]Learning Graphon Autoencoders for Generative Graph Modeling
Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo
http://arxiv.org/abs/2105.14244v1

• [cs.LG]Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur, Mohan Gurusamy
http://arxiv.org/abs/2105.15035v1

• [cs.LG]Max-Margin is Dead, Long Live Max-Margin!
Alex Nowak-Vila, Alessandro Rudi, Francis Bach
http://arxiv.org/abs/2105.15069v1

• [cs.LG]Memory-Efficient Differentiable Transformer Architecture Search
Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen
http://arxiv.org/abs/2105.14669v1

• [cs.LG]Model Mis-specification and Algorithmic Bias
Runshan Fu, Yangfan Liang, Peter Zhang
http://arxiv.org/abs/2105.15182v1

• [cs.LG]OASIS: An Active Framework for Set Inversion
Binh T. Nguyen, Duy M. Nguyen, Lam Si Tung Ho, Vu Dinh
http://arxiv.org/abs/2105.15024v1

• [cs.LG]OCT-GAN: Neural ODE-based Conditional Tabular GANs
Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
http://arxiv.org/abs/2105.14969v1

• [cs.LG]Objective Robustness in Deep Reinforcement Learning
Jack Koch, Lauro Langosco, Jacob Pfau, James Le, Lee Sharkey
http://arxiv.org/abs/2105.14111v1

• [cs.LG]On the Theory of Reinforcement Learning with Once-per-Episode Feedback
Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan
http://arxiv.org/abs/2105.14363v1

• [cs.LG]On the benefits of representation regularization in invariance based domain generalization
Changjian Shui, Boyu Wang, Christian Gagné
http://arxiv.org/abs/2105.14529v1

• [cs.LG]On the geometry of generalization and memorization in deep neural networks
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
http://arxiv.org/abs/2105.14602v1

• [cs.LG]Overparameterization of deep ResNet: zero loss and mean-field analysis
Zhiyan Ding, Shi Chen, Qin Li, Stephen Wright
http://arxiv.org/abs/2105.14417v1

• [cs.LG]Periodic-GP: Learning Periodic World with Gaussian Process Bandits
Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song
http://arxiv.org/abs/2105.14422v1

• [cs.LG]Product Progression: a machine learning approach to forecasting industrial upgrading
Giambattista Albora, Luciano Pietronero, Andrea Tacchella, Andrea Zaccaria
http://arxiv.org/abs/2105.15018v1

• [cs.LG]QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
http://arxiv.org/abs/2105.15010v1

• [cs.LG]Rawlsian Fair Adaptation of Deep Learning Classifiers
Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
http://arxiv.org/abs/2105.14890v1

• [cs.LG]Re-evaluating Word Mover’s Distance
Ryoma Sato, Makoto Yamada, Hisashi Kashima
http://arxiv.org/abs/2105.14403v1

• [cs.LG]Rejection sampling from shape-constrained distributions in sublinear time
Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet
http://arxiv.org/abs/2105.14166v1

• [cs.LG]Representation Learning in Continuous-Time Score-Based Generative Models
Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou
http://arxiv.org/abs/2105.14257v1

• [cs.LG]Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
Glenn Dawson, Robi Polikar
http://arxiv.org/abs/2105.14083v1

• [cs.LG]Risk-Aware Transfer in Reinforcement Learning using Successor Features
Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee
http://arxiv.org/abs/2105.14127v1

• [cs.LG]Robustifying Adversarial Training to the Union of Perturbation Models
Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag
http://arxiv.org/abs/2105.14710v1

• [cs.LG]SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning
Jianhong Wang, Jinxin Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim
http://arxiv.org/abs/2105.15013v1

• [cs.LG]Safe Pontryagin Differentiable Programming
Wanxin Jin, Shaoshuai Mou, George J. Pappas
http://arxiv.org/abs/2105.14937v1

• [cs.LG]Sharper bounds for online learning of smooth functions of a single variable
Jesse Geneson
http://arxiv.org/abs/2105.14648v1

• [cs.LG]Support vector machines and linear regression coincide with very high-dimensional features
Navid Ardeshir, Clayton Sanford, Daniel Hsu
http://arxiv.org/abs/2105.14084v1

• [cs.LG]SyReNets: Symbolic Residual Neural Networks
Carlos Magno C. O. Valle, Sami Haddadin
http://arxiv.org/abs/2105.14396v1

• [cs.LG]Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen, Yuanzhi Li
http://arxiv.org/abs/2105.15134v1

• [cs.LG]Towards Lower Bounds on the Depth of ReLU Neural Networks
Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella
http://arxiv.org/abs/2105.14835v1

• [cs.LG]Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things
Huanle Zhang, Jeonghoon Kim
http://arxiv.org/abs/2105.14675v1

• [cs.LG]Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill
http://arxiv.org/abs/2105.14039v1

• [cs.LG]Towards optimally abstaining from prediction
Adam Tauman Kalai, Varun Kanade
http://arxiv.org/abs/2105.14119v1

• [cs.LG]Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems
Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich
http://arxiv.org/abs/2105.14730v1

• [cs.LG]Understanding Bandits with Graph Feedback
Houshuang Chen, Zengfeng Huang, Shuai Li, Chihao Zhang
http://arxiv.org/abs/2105.14260v1

• [cs.LG]Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong, Kamalika Chaudhuri
http://arxiv.org/abs/2105.14203v1

• [cs.LG]Unifying Distillation with Personalization in Federated Learning
Siddharth Divi, Habiba Farrukh, Berkay Celik
http://arxiv.org/abs/2105.15191v1

• [cs.LG]Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning
William Blanzeisky, Pádraig Cunningham
http://arxiv.org/abs/2105.15064v1

• [cs.LG]Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su
http://arxiv.org/abs/2105.14095v1

• [cs.LG]Why does CTC result in peaky behavior?
Albert Zeyer, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/2105.14849v1

• [cs.LO]A logic for binary classifiers and their explanation
Xinghan Liu, Emiliano Lorini
http://arxiv.org/abs/2105.14452v1

• [cs.NE]Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks
Biswadeep Chakraborty, Saibal Mukhopadhyay
http://arxiv.org/abs/2105.14677v1

• [cs.NE]Deep Memory Update
Łukasz Neumann, Paweł Wawrzyński
http://arxiv.org/abs/2105.14092v1

• [cs.NE]Evolution of Activation Functions: An Empirical Investigation
Andrew Nader, Danielle Azar
http://arxiv.org/abs/2105.14614v1

• [cs.NE]Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning
Aman Bhargava, Mohammad R. Rezaei, Milad Lankarany
http://arxiv.org/abs/2105.14383v1

• [cs.NI]Entanglement Rate Optimization in Heterogeneous Quantum Communication Networks
Mahdi Chehimi, Walid Saad
http://arxiv.org/abs/2105.14507v1

• [cs.NI]Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs
Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Mohammad Alfaifi, Jorge Martin-Pérez, Luigi Girletti, Rajasekar Mohan, K Venkat Ramnan, Boris Bellalta
http://arxiv.org/abs/2105.14219v1

• [cs.NI]Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks
Anum Talpur, Mohan Gurusamy
http://arxiv.org/abs/2105.15022v1

• [cs.RO]A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye, Shen Zhang, Pin Wang, Ching-Yao Chan
http://arxiv.org/abs/2105.14218v1

• [cs.RO]APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner
http://arxiv.org/abs/2105.14895v1

• [cs.RO]Bimanual Shelf Picking Planner Based on Collapse Prediction
T. Motoda, D. Petit, W. Wan, K. Harada
http://arxiv.org/abs/2105.14764v1

• [cs.RO]Biomimetic Control of Myoelectric Prosthetic Hand Based on a Lambda-type Muscle Model
Akira Furui, Kosuke Nakagaki, Toshio Tsuji
http://arxiv.org/abs/2105.14215v1

• [cs.RO]Contact Mode Guided Motion Planning for Dexterous Manipulation
Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason
http://arxiv.org/abs/2105.14431v1

• [cs.RO]DILIGENT-KIO: A Proprioceptive Base Estimator for Humanoid Robots using Extended Kalman Filtering on Matrix Lie Groups
Prashanth Ramadoss, Giulio Romualdi, Stefano Dafarra, Francisco Javier Andrade Chavez, Silvio Traversaro, Daniele Pucci
http://arxiv.org/abs/2105.14914v1

• [cs.RO]Deformation Control of a Deformable Object Based on Visual and Tactile Feedback
Yuhao Guo, Xin Jiang, Yunhui Liu
http://arxiv.org/abs/2105.14429v1

• [cs.RO]Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control
Giulio Romualdi, Stefano Dafarra, Daniele Pucci
http://arxiv.org/abs/2105.14622v1

• [cs.RO]On the Controllers Based on Time Delay Estimation for Robotic Manipulators
M. Reza J. Harandi
http://arxiv.org/abs/2105.14615v1

• [cs.RO]Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna, Harry Zhang, Ken Goldberg
http://arxiv.org/abs/2105.14246v1

• [cs.RO]Perceived Safety in Physical Human Robot Interaction — A Survey
Matteo Rubagotti, Inara Tusseyeva, Sara Baltabayeva, Danna Summers, Anara Sandygulova
http://arxiv.org/abs/2105.14499v1

• [cs.RO]Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Stephen James, Andrew J. Davison
http://arxiv.org/abs/2105.14829v1

• [cs.RO]Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning
Keenan Burnett, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot
http://arxiv.org/abs/2105.14152v1

• [cs.RO]Robust Sample-Based Output-Feedback Path Planning
Mahroo Bahreinian, Marc Mitjans, Roberto Tron
http://arxiv.org/abs/2105.14118v1

• [cs.RO]Safety Embedded Differential Dynamic Programming using Discrete Barrier States
Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou
http://arxiv.org/abs/2105.14608v1

• [cs.RO]Shaped Policy Search for Evolutionary Strategies using Waypoints
Kiran Lekkala, Laurent Itti
http://arxiv.org/abs/2105.14639v1

• [cs.RO]Soft Biomimetic Optical Tactile Sensing with the TacTip: A Review
Nathan F. Lepora
http://arxiv.org/abs/2105.14455v1

• [cs.RO]Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild
Zhipeng Dong, Yi Gao, Yunhui Yan, Fei Chen
http://arxiv.org/abs/2105.14522v1

• [cs.SD]Singing Language Identification using a Deep Phonotactic Approach
Lenny Renault, Andrea Vaglio, Romain Hennequin
http://arxiv.org/abs/2105.15014v1

• [cs.SI]Comparing Models for Extracting the Backbone of Bipartite Projections
Zachary P. Neal, Rachel Domagalski, Bruce Sagan
http://arxiv.org/abs/2105.13396v2

• [cs.SI]Graph Similarity Description: How Are These Graphs Similar?
Corinna Coupette, Jilles Vreeken
http://arxiv.org/abs/2105.14364v1

• [cs.SI]Retweet communities reveal the main sources of hate speech
Bojan Evkoski, Andraz Pelicon, Igor Mozetic, Nikola Ljubesic, Petra Kralj Novak
http://arxiv.org/abs/2105.14898v1

• [cs.SI]Robust Dynamic Network Embedding via Ensembles
Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
http://arxiv.org/abs/2105.14557v1

• [cs.SI]The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition
Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
http://arxiv.org/abs/2105.14262v1

• [econ.EM]Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
Liang Jiang, Peter C. B. Phillips, Yubo Tao, Yichong Zhang
http://arxiv.org/abs/2105.14752v1

• [eess.AS]Automatic audiovisual synchronisation for ultrasound tongue imaging
Aciel Eshky, Joanne Cleland, Manuel Sam Ribeiro, Eleanor Sugden, Korin Richmond, Steve Renals
http://arxiv.org/abs/2105.15162v1

• [eess.AS]Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson’s Disease
Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li
http://arxiv.org/abs/2105.14704v1

• [eess.IV]BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring
Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma
http://arxiv.org/abs/2105.14766v1

• [eess.IV]Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information
Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun
http://arxiv.org/abs/2105.14962v1

• [eess.IV]CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Yang Deng, Ce Wang, Yuan Hui, Qian Li, Jun Li, Shiwei Luo, Mengke Sun, Quan Quan, Shuxin Yang, You Hao, Pengbo Liu, Honghu Xiao, Chunpeng Zhao, Xinbao Wu, S. Kevin Zhou
http://arxiv.org/abs/2105.14711v1

• [eess.IV]Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
Gianluca Gerard, Marco Piastra
http://arxiv.org/abs/2105.14338v1

• [eess.IV]Covid-19 diagnosis from x-ray using neural networks
Dinesh J, Mohammed Rhithick A
http://arxiv.org/abs/2105.14333v1

• [eess.IV]Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction
Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
http://arxiv.org/abs/2105.14986v1

• [eess.IV]Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
http://arxiv.org/abs/2105.14732v1

• [eess.IV]Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network
Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi
http://arxiv.org/abs/2105.14656v1

• [eess.IV]Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Zhaoxiang Ye
http://arxiv.org/abs/2105.14758v1

• [eess.IV]Refined Deep Neural Network and U-Net for Polyps Segmentation
Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh, Minh-Triet Tran
http://arxiv.org/abs/2105.14848v1

• [eess.IV]SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar, Gregory Vaksman, Michael Elad
http://arxiv.org/abs/2105.14951v1

• [eess.IV]Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
http://arxiv.org/abs/2105.14320v1

• [eess.SP]A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks
Hao Zhang, Fuhui Zhou, Qihui Wu, Wei Wu, Rose Qingyang Hu
http://arxiv.org/abs/2105.15037v1

• [eess.SP]DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing
Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber
http://arxiv.org/abs/2105.14634v1

• [eess.SY]Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems
Juan Paredes, Prashin Sharma, Brian Ha, Manuel Lanchares, Ella Atkins, Peter Gaskell, Ilya Kolmanovsky
http://arxiv.org/abs/2105.14231v1

• [hep-ph]The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC
Thabang Lebese, Bruce Mellado, Xifeng Ruan
http://arxiv.org/abs/2105.14933v1

• [math.CO]The Sample Fréchet Mean of Sparse Graphs is Sparse
Francois G. Meyer, Daniel Ferguson
http://arxiv.org/abs/2105.14397v1

• [math.OC]Data-Driven Combinatorial Optimization with Incomplete Information: a Distributionally Robust Optimization Approach
Sergey S. Ketkov, Andrei S. Shilov, Oleg A. Prokopyev
http://arxiv.org/abs/2105.14139v1

• [math.OC]Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen, Yuting Wei, Yuejie Chi
http://arxiv.org/abs/2105.15186v1

• [math.OC]Policies for the Dynamic Traveling Maintainer Problem with Alerts
Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang
http://arxiv.org/abs/2105.15119v1

• [math.ST]Asymptotic Normality of the Posterior Distributions in a Class of Hidden Markov Models
Chunlei Wang, Sanvesh Srivastava
http://arxiv.org/abs/2105.14394v1

• [math.ST]Improving Efficiency of Tests for Composite Null Hypotheses
Yotam Leibovici, Yair Goldberg
http://arxiv.org/abs/2105.14596v1

• [math.ST]Lattice Conditional Independence Models and Hibi Ideals
Peter Caines, Fatemeh Mohammadi, Eduardo Sáenz de Cabezón, Henry Wynn
http://arxiv.org/abs/2105.14558v1

• [math.ST]Optimal Spectral Recovery of a Planted Vector in a Subspace
Cheng Mao, Alexander S. Wein
http://arxiv.org/abs/2105.15081v1

• [math.ST]Optimality of the recursive Neyman allocation
Jacek Wesołowski, Robert Wieczorkowski, Wojciech Wójciak
http://arxiv.org/abs/2105.14486v1

• [math.ST]Robust Hypothesis Testing with Wasserstein Uncertainty Sets
Liyan Xie, Rui Gao, Yao Xie
http://arxiv.org/abs/2105.14348v1

• [math.ST]Sparse ANOVA Inspired Mixture Models
Johannes Hertrich, Fatima Antarou Ba, Gabriele Steidl
http://arxiv.org/abs/2105.14893v1

• [math.ST]The HulC: Confidence Regions from Convex Hulls
Arun Kumar Kuchibhotla, Sivaraman Balakrishnan, Larry Wasserman
http://arxiv.org/abs/2105.14577v1

• [nlin.AO]A mechanism of Individualistic Indirect Reciprocity with internal and external dynamics
Mario Ignacio González Silva, Ricardo Armando González Silva, Héctor Alfonso Juárez López, Antonio Aguilera Ontiveros
http://arxiv.org/abs/2105.14144v1

• [physics.soc-ph]Assessing disinformation through the dynamics of supply and demand in the news ecosystem
Pietro Gravino, Giulio Prevedello, Martina Galletti, Vittorio Loreto
http://arxiv.org/abs/2105.15172v1

• [q-bio.MN]A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe
Fan Hu, Lei Wang, Yishen Hu, Dongqi Wang, Weijie Wang, Jianbing Jiang, Nan Li, Peng Yin
http://arxiv.org/abs/2105.14224v1

• [q-bio.NC]A remark on a paper of Krotov and Hopfield [arXiv:2008.06996]**
Fei Tang, Michael Kopp
http://arxiv.org/abs/2105.15034v1

• [quant-ph]Computation-aided classical-quantum multiple access to boost network communication speeds
Masahito Hayashi, Angeles Vazquez-Castro
http://arxiv.org/abs/2105.14505v1

• [stat.AP]A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications
Bohan Wu, Bradley Van Allen
http://arxiv.org/abs/2105.14649v1

• [stat.AP]How much telematics information do insurers need for claim classification?
Francis Duval, Jean-Philippe Boucher, Mathieu Pigeon
http://arxiv.org/abs/2105.14055v1

• [stat.AP]The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis
Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, Kosuke Imai
http://arxiv.org/abs/2105.14197v1

• [stat.ME]Conformal Uncertainty Sets for Robust Optimization
Chancellor Johnstone
http://arxiv.org/abs/2105.14957v1

• [stat.ME]Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Chunlei Wang, Sanvesh Srivastava
http://arxiv.org/abs/2105.14395v1

• [stat.ME]Fitting Structural Equation Models via Variational Approximations
Khue-Dung Dang, Luca Maestrini
http://arxiv.org/abs/2105.15036v1

• [stat.ME]Intrinsic Wasserstein Correlation Analysis
Hang Zhou, Zhenhua Lin, Fang Yao
http://arxiv.org/abs/2105.15000v1

• [stat.ME]Normal Inverse Gaussian Autoregressive Model Using EM Algorithm
Monika Singh Dhull, Arun Kumar
http://arxiv.org/abs/2105.14502v1

• [stat.ME]Orthogonal Subsampling for Big Data Linear Regression
Lin Wang, Jake Elmstedt, Weng Kee Wong, Hongquan Xu
http://arxiv.org/abs/2105.14647v1

• [stat.ME]Randomization Inference of Periodicity in Unequally Spaced Time Series with Application to Exoplanet Detection
Panos Toulis, Jacob Bean
http://arxiv.org/abs/2105.14222v1

• [stat.ME]Statistical Inference from Partially Nominated Sets: An Application to Estimating the Prevalence of Osteoporosis
Zeinab Akbari Ghamsari, Ehsan Zamanzade, Majid Asadi
http://arxiv.org/abs/2105.14590v1

• [stat.ME]The equivalence of the Delta method and the cluster-robust variance estimator for the analysis of clustered randomized experiments
Alex Deng, Jiannan Lu, Wen Qin
http://arxiv.org/abs/2105.14705v1

• [stat.ME]Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, Yuguo Chen
http://arxiv.org/abs/2105.14093v1

• [stat.ML]A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees
Victor Chernozhukov, Whitney K. Newey, Rahul Singh
http://arxiv.org/abs/2105.15197v1

• [stat.ML]Active Learning of Continuous-time Bayesian Networks through Interventions
Dominik Linzner, Heinz Koeppl
http://arxiv.org/abs/2105.14742v1

• [stat.ML]Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
Mikhail Belkin
http://arxiv.org/abs/2105.14368v1

• [stat.ML]Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
http://arxiv.org/abs/2105.15004v1

• [stat.ML]Information Directed Sampling for Sparse Linear Bandits
Botao Hao, Tor Lattimore, Wei Deng
http://arxiv.org/abs/2105.14267v1

• [stat.ML]Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
Gourab Ghatak, Hardhik Mohanty, Aniq Ur Rahman
http://arxiv.org/abs/2105.14586v1

• [stat.ML]Parameter Estimation for the SEIR Model Using Recurrent Nets
Chun Fan, Yuxian Meng, Xiaofei Sun, Fei Wu, Tianwei Zhang, Jiwei Li
http://arxiv.org/abs/2105.14524v1

• [stat.ML]Rapid Feature Evolution Accelerates Learning in Neural Networks
Haozhe Shan, Blake Bordelon
http://arxiv.org/abs/2105.14301v1

• [stat.ML]Representation Learning Beyond Linear Prediction Functions
Ziping Xu, Ambuj Tewari
http://arxiv.org/abs/2105.14989v1

• [stat.ML]Scalable and Interpretable Marked Point Processes
Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas
http://arxiv.org/abs/2105.14574v1

• [stat.ML]Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li
http://arxiv.org/abs/2105.14594v1

• [stat.ML]Transfer Learning under High-dimensional Generalized Linear Models
Ye Tian, Yang Feng
http://arxiv.org/abs/2105.14328v1

• [stat.ML]Variational Autoencoders: A Harmonic Perspective
Alexander Camuto, Matthew Willetts
http://arxiv.org/abs/2105.14866v1