今日学术视野(2021.5.19)

cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CG - 计算几何学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
econ.GN - 一般经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
hep-ex - 高能物理实验
math.AG - 代数几何
math.AT - 代数拓扑
math.CO - 组合数学
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.data-an - 数据分析、 统计和概率
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
q-bio.GN - 基因组学
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

• [cs.AI]A Formal Framework for Reasoning about Agents’ Independence in Self-organizing Multi-agent Systems
• [cs.AI]A Review on Explainability in Multimodal Deep Neural Nets
• [cs.AI]Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
• [cs.AI]Approximate Novelty Search
• [cs.AI]Automated Biodesign Engineering by Abductive Meta-Interpretive Learning
• [cs.AI]Curiosity-driven Intuitive Physics Learning
• [cs.AI]DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification
• [cs.AI]Decision Making with Differential Privacy under a Fairness Lens
• [cs.AI]Designer-User Communication for XAI: An epistemological approach to discuss XAI design
• [cs.AI]Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
• [cs.AI]HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
• [cs.AI]Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose
• [cs.AI]Learning User Embeddings from Temporal Social Media Data: A Survey
• [cs.AI]Model-Based Offline Planning with Trajectory Pruning
• [cs.AI]Monitoring electrical systems data-network equipment by means ofFuzzy and Paraconsistent Annotated Logic
• [cs.AI]Order Effects in Bayesian Updates
• [cs.AI]Private Facial Diagnosis as an Edge Service for Parkinson’s DBS Treatment Valuation
• [cs.AI]Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
• [cs.AI]Texture Generation with Neural Cellular Automata
• [cs.AI]Towards a Predictive Processing Implementation of the Common Model of Cognition
• [cs.AI]Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
• [cs.AR]Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks
• [cs.CG]Compacting Squares
• [cs.CL]A CCG-Based Version of the DisCoCat Framework
• [cs.CL]A Cognitive Regularizer for Language Modeling
• [cs.CL]Annotation Uncertainty in the Context of Grammatical Change
• [cs.CL]Automatic Fake News Detection: Are Models Learning to Reason?
• [cs.CL]Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes
• [cs.CL]Data Augmentation for Sign Language Gloss Translation
• [cs.CL]Dependency Parsing as MRC-based Span-Span Prediction
• [cs.CL]DirectQE: Direct Pretraining for Machine Translation Quality Estimation
• [cs.CL]Doc2Dict: Information Extraction as Text Generation
• [cs.CL]Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation
• [cs.CL]Factoring Statutory Reasoning as Language Understanding Challenges
• [cs.CL]Few-NERD: A Few-Shot Named Entity Recognition Dataset
• [cs.CL]Fine-grained Interpretation and Causation Analysis in Deep NLP Models
• [cs.CL]From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
• [cs.CL]How is BERT surprised? Layerwise detection of linguistic anomalies
• [cs.CL]Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter
• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
• [cs.CL]OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
• [cs.CL]Premise-based Multimodal Reasoning: A Human-like Cognitive Process
• [cs.CL]Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
• [cs.CL]SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services
• [cs.CL]STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
• [cs.CL]SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
• [cs.CL]Sentence Similarity Based on Contexts
• [cs.CL]Stage-wise Fine-tuning for Graph-to-Text Generation
• [cs.CL]String Theories involving Regular Membership Predicates: From Practice to Theory and Back
• [cs.CL]Studying the association of online brand importance with museum visitors: An application of the semantic brand score
• [cs.CL]Supporting Context Monotonicity Abstractions in Neural NLI Models
• [cs.CL]TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
• [cs.CL]The Low-Dimensional Linear Geometry of Contextualized Word Representations
• [cs.CL]The Volctrans Neural Speech Translation System for IWSLT 2021
• [cs.CL]The interplay between morphological typology and script on a novel multi-layer Algerian dialect corpus
• [cs.CR]A Fusion-Denoising Attack on InstaHide with Data Augmentation
• [cs.CR]Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
• [cs.CR]Information Theoretic Key Agreement Protocol based on ECG signals
• [cs.CR]On Decentralization of Bitcoin: An Asset Perspective
• [cs.CR]RAIDER: Reinforcement-aided Spear Phishing Detector
• [cs.CV]3D to 4D Facial Expressions Generation Guided by Landmarks
• [cs.CV]A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild
• [cs.CV]A Large Visual, Qualitative and Quantitative Dataset of Web Pages
• [cs.CV]A Light Stage on Every Desk
• [cs.CV]Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
• [cs.CV]AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
• [cs.CV]Algorithmic Principles of Camera-based Respiratory Motion Extraction
• [cs.CV]Are Convolutional Neural Networks or Transformers more like human vision?
• [cs.CV]AudioVisual Video Summarization
• [cs.CV]BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
• [cs.CV]BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
• [cs.CV]Brain Inspired Object Recognition System
• [cs.CV]Can self-training identify suspicious ugly duckling lesions?
• [cs.CV]Class-Incremental Few-Shot Object Detection
• [cs.CV]Composite Localization for Human Pose Estimation
• [cs.CV]Cross-Modal Progressive Comprehension for Referring Segmentation
• [cs.CV]Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation
• [cs.CV]Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
• [cs.CV]Divide and Contrast: Self-supervised Learning from Uncurated Data
• [cs.CV]EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
• [cs.CV]ExSinGAN: Learning an Explainable Generative Model from a Single Image
• [cs.CV]FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval
• [cs.CV]FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
• [cs.CV]Face Attributes as Cues for Deep Face Recognition Understanding
• [cs.CV]Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
• [cs.CV]FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
• [cs.CV]Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity
• [cs.CV]HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
• [cs.CV]Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers
• [cs.CV]Large-Scale Unsupervised Person Re-Identification with Contrastive Learning
• [cs.CV]Layerwise Optimization by Gradient Decomposition for Continual Learning
• [cs.CV]Learning to Automatically Catch Potholes in Worldwide Road Scene Images
• [cs.CV]Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
• [cs.CV]Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation
• [cs.CV]Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
• [cs.CV]Mask-Guided Discovery of Semantic Manifolds in Generative Models
• [cs.CV]Mean Shift for Self-Supervised Learning
• [cs.CV]Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
• [cs.CV]Move2Hear: Active Audio-Visual Source Separation
• [cs.CV]Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
• [cs.CV]Multi-object Tracking with Tracked Object Bounding Box Association
• [cs.CV]MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
• [cs.CV]MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
• [cs.CV]NeLF: Practical Novel View Synthesis with Neural Light Field
• [cs.CV]Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification
• [cs.CV]One for All: An End-to-End Compact Solution for Hand Gesture Recognition
• [cs.CV]Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
• [cs.CV]Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
• [cs.CV]Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations
• [cs.CV]Regularized Deep Linear Discriminant Analysis
• [cs.CV]Rethinking “Batch” in BatchNorm
• [cs.CV]Rethinking the Design Principles of Robust Vision Transformer
• [cs.CV]SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
• [cs.CV]STRIDE : Scene Text Recognition In-Device
• [cs.CV]Semi-supervised Contrastive Learning with Similarity Co-calibration
• [cs.CV]Shared and Private VAEs with Generative Replay for Continual Learning
• [cs.CV]Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention
• [cs.CV]Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
• [cs.CV]StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
• [cs.CV]Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks
• [cs.CV]Substitutional Neural Image Compression
• [cs.CV]Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval
• [cs.CV]TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
• [cs.CV]Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks
• [cs.CV]The Boombox: Visual Reconstruction from Acoustic Vibrations
• [cs.CV]Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
• [cs.CV]Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
• [cs.CV]Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation
• [cs.CV]Unknown-box Approximation to Improve Optical Character Recognition Performance
• [cs.CV]Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
• [cs.CV]Vision Transformers are Robust Learners
• [cs.CV]Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
• [cs.CY]Cybernetics and the Future of Work
• [cs.CY]Follow the Money: Analyzing @slpng_giants_pt’s Strategy to Combat Misinformation
• [cs.CY]Investigating Protected Health Information Leakage from Android Medical Applications
• [cs.CY]Urban Analytics: History, Trajectory, and Critique
• [cs.DB]Generic Itemset Mining Based on Reinforcement Learning
• [cs.DC]A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum
• [cs.DC]A fast vectorized sorting implementation based on the ARM scalable vector extension (SVE)
• [cs.DC]Advanced Synchronization Techniques for Task-based Runtime Systems
• [cs.DC]Byzantine-Resilient Population Protocols
• [cs.DC]Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal
• [cs.DC]Compressed Communication for Distributed Training: Adaptive Methods and System
• [cs.DC]DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling
• [cs.DC]EasyFL: A Low-code Federated Learning Platform For Dummies
• [cs.DC]Intra-process Caching and Reuse of Threads
• [cs.DC]LocalNewton: Reducing Communication Bottleneck for Distributed Learning
• [cs.DC]Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language
• [cs.DC]Toward the Design of Fault-Tolerance- and Peak- Power-Aware Multi-Core Mixed-Criticality Systems
• [cs.DC]Towards Demystifying Serverless Machine Learning Training
• [cs.DL]Content Analysis Application in Nursing: A Synthetic Knowledge Synthesis Meta-Study
• [cs.IR]Collaborative Variational Bandwidth Auto-encoder for Recommender Systems
• [cs.IR]How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
• [cs.IR]Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
• [cs.IR]Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
• [cs.IR]Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
• [cs.IR]TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data
• [cs.IR]Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
• [cs.IT]A Unified Adaptive Recoding Framework for Batched Network Coding
• [cs.IT]Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder
• [cs.IT]Attacking Masked Cryptographic Implementations: Information-Theoretic Bounds
• [cs.IT]BAR: Blockwise Adaptive Recoding for Batched Network Coding
• [cs.IT]Bounds on the Capacity of PIR over Graphs
• [cs.IT]Capacity Scalability of Line Networks with Batched Codes
• [cs.IT]Closed-form Characterization of the MGF of AoI in Energy Harvesting Status Update Systems
• [cs.IT]Construction and enumeration of left dihedral codes satisfying certain duality properties
• [cs.IT]Dimension-Free Empirical Entropy Estimation
• [cs.IT]Dimensioning an Indoor SISO RIS-system: Approximations and Equivalence Models
• [cs.IT]Distributed Computation over MAC via Kolmogorov-Arnold Representation
• [cs.IT]Divergence Estimation in Message Passing algorithms
• [cs.IT]Generalized Nearest Neighbor Decoding for MIMO Channels with Imperfect Channel State Information
• [cs.IT]High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
• [cs.IT]Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation
• [cs.IT]Intrablock Interleaving for Batched Network Coding with Blockwise Adaptive Recoding
• [cs.IT]Left Dihedral Codes over Finite Chain Rings
• [cs.IT]Low-Complexity PIR Using Subfield Subcodes
• [cs.IT]N-ary Huffman Encoding Using High-Degree Trees — A Performance Comparison
• [cs.IT]On Conditional -Information and its Application to Side-Channel Analysis
• [cs.IT]On Converse Results for Secure Index Coding
• [cs.IT]On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI
• [cs.IT]On the Stability Region of Intermittent Interference Networks
• [cs.IT]Price of Precision in Coded Distributed Matrix Multiplication: A Dimensional Analysis
• [cs.IT]Rate-Splitting Multiple Access for Downlink Multiuser MIMO: Precoder Optimization and PHY-Layer Design
• [cs.IT]Using Ethnographic Methods to Classify the Human Experience in Medicine: A Case Study of the Presence Ontology
• [cs.IT]Utility Maximization for Multihop Wireless Networks Employing BATS Codes
• [cs.LG]A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers
• [cs.LG]Activation function design for deep networks: linearity and effective initialisation
• [cs.LG]Algorithm-Agnostic Explainability for Unsupervised Clustering
• [cs.LG]An Effective Baseline for Robustness to Distributional Shift
• [cs.LG]An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
• [cs.LG]An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis
• [cs.LG]An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks
• [cs.LG]Application of Deep Self-Attention in Knowledge Tracing
• [cs.LG]Be Causal: De-biasing Social Network Confounding in Recommendation
• [cs.LG]Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods
• [cs.LG]CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
• [cs.LG]CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
• [cs.LG]Capsule GAN for Prostate MRI Super-Resolution
• [cs.LG]Choice Set Confounding in Discrete Choice
• [cs.LG]Cohort Shapley value for algorithmic fairness
• [cs.LG]Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
• [cs.LG]Continual Learning with Echo State Networks
• [cs.LG]Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial
• [cs.LG]Convex optimization for actionable & plausible counterfactual explanations
• [cs.LG]DOC3-Deep One Class Classification using Contradictions
• [cs.LG]Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
• [cs.LG]Disentangled Variational Information Bottleneck for Multiview Representation Learning
• [cs.LG]Drill the Cork of Information Bottleneck by Inputting the Most Important Data
• [cs.LG]Dynamic Pooling Improves Nanopore Base Calling Accuracy
• [cs.LG]Expressive Explanations of DNNs by Combining Concept Analysis with ILP
• [cs.LG]Feature-Based Interpretable Reinforcement Learning based on State-Transition Models
• [cs.LG]Federated Knowledge Graphs Embedding
• [cs.LG]Graph-Free Knowledge Distillation for Graph Neural Networks
• [cs.LG]High-Robustness, Low-Transferability Fingerprinting of Neural Networks
• [cs.LG]How to Explain Neural Networks: A perspective of data space division
• [cs.LG]Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization
• [cs.LG]Joint estimation of multiple Granger causal networks: Inference of group-level brain connectivity
• [cs.LG]Knowledge State Networks for Effective Skill Assessment in Atomic Learning
• [cs.LG]Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
• [cs.LG]Learning a Latent Simplex in Input-Sparsity Time
• [cs.LG]Learning a Universal Template for Few-shot Dataset Generalization
• [cs.LG]Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
• [cs.LG]Neural Trees for Learning on Graphs
• [cs.LG]On the Distributional Properties of Adaptive Gradients
• [cs.LG]Pay Attention to MLPs
• [cs.LG]Physics-informed attention-based neural network for solving non-linear partial differential equations
• [cs.LG]Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction
• [cs.LG]Real-time Detection of Practical Universal Adversarial Perturbations
• [cs.LG]Regret Minimization Experience Replay
• [cs.LG]Rethinking Skip Connection with Layer Normalization in Transformers and ResNets
• [cs.LG]Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
• [cs.LG]Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
• [cs.LG]Self-supervised on Graphs: Contrastive, Generative,or Predictive
• [cs.LG]Stochastic Control through Approximate Bayesian Input Inference
• [cs.LG]TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
• [cs.LG]Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
• [cs.LG]Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
• [cs.LG]Understanding the Effect of Bias in Deep Anomaly Detection
• [cs.LG]Undistillable: Making A Nasty Teacher That CANNOT teach students
• [cs.LG]Universal Regular Conditional Distributions via Probability Measure-Valued Deep Neural Models
• [cs.LG]Universality and Optimality of Structured Deep Kernel Networks
• [cs.LG]Verification of Image-based Neural Network Controllers Using Generative Models
• [cs.LG]XAI Method Properties: A (Meta-)study
• [cs.MA]How Can Robots Trust Each Other? A Relative Needs Entropy Based Trust Assessment Models
• [cs.MA]Mean Field Games Flock! The Reinforcement Learning Way
• [cs.MA]Offline Time-Independent Multi-Agent Path Planning
• [cs.MM]Analyzing Images for Music Recommendation
• [cs.NE]Behavior-based Neuroevolutionary Training in Reinforcement Learning
• [cs.NE]Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers
• [cs.NE]FOGA: Flag Optimization with Genetic Algorithm
• [cs.NI]Rescue Network: Using UAVs (drones) in Earthquake Crisis Management
• [cs.NI]Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks
• [cs.NI]fybrrStream: A WebRTC based Efficient and Scalable P2P Live Streaming Platform
• [cs.RO]APPL: Adaptive Planner Parameter Learning
• [cs.RO]An Ergonomic Interaction Workspace Analysis Method for the Optimal Design of a Surgical Master Manipulator
• [cs.RO]Collaborative Mapping of Archaeological Sites using multiple UAVs
• [cs.RO]Development of Soft Tactile Sensor for Force Measurement and Position Detection
• [cs.RO]Distributed Resilient Submodular Action Selection in Adversarial Environments
• [cs.RO]Explainable Hierarchical Imitation Learning for Robotic Drink Pouring
• [cs.RO]Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems
• [cs.RO]Make Bipedal Robots Learn How to Imitate
• [cs.RO]RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms
• [cs.RO]Topology-optimization based design of multi-degree-of-freedom compliant mechanisms (mechanisms with multiple pseudo-mobility)
• [cs.SD]Chord Recognition- Music and Audio Information Retrieval
• [cs.SD]Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
• [cs.SE]Deep Learning Models in Software Requirements Engineering
• [cs.SE]SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain
• [cs.SI]A Deep Metric Learning Approach to Account Linking
• [cs.SI]A Synchronized Action Framework for Responsible Detection of Coordination on Social Media
• [cs.SI]Characterizing the Interactions Between Classical and Community-aware Centrality Measures in Complex Networks
• [cs.SI]Face mask perception during the COVID-19 pandemic: an observational study of Russian online social network VKontakte
• [cs.SI]Knowledge Value Stream Framework For Complex Product Design Decisions
• [cs.SI]The State of Infodemic on Twitter
• [econ.EM]Learning Financial Network with Focally Sparse Structure
• [econ.EM]Using social network and semantic analysis to analyze online travel forums and forecast tourism demand
• [econ.GN]How Costly is Noise? Data and Disparities in Consumer Credit
• [eess.AS]Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
• [eess.IV]Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
• [eess.IV]Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
• [eess.IV]DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
• [eess.IV]Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
• [eess.IV]Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI
• [eess.IV]Dermoscopic Image Classification with Neural Style Transfer
• [eess.IV]Fast and Accurate Camera Scene Detection on Smartphones
• [eess.IV]Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
• [eess.IV]Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
• [eess.IV]Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
• [eess.IV]MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
• [eess.IV]Multi-scale super-resolution generation of low-resolution scanned pathological images
• [eess.IV]RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
• [eess.IV]Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
• [eess.IV]SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation
• [eess.IV]Unsupervised Deep Learning Methods for Biological Image Reconstruction
• [eess.IV]Unsupervised MMRegNet based on Spatially Encoded Gradient Information
• [eess.IV]Window-Level is a Strong Denoising Surrogate
• [eess.SP]An accelerated expectation-maximization for multi-reference alignment
• [eess.SY]Data-Driven Reachability Analysis from Noisy Data
• [eess.SY]Leveraging Classification Metrics for Quantitative System-Level Analysis with Temporal Logic Specifications
• [eess.SY]Probabilistic robust linear quadratic regulators with Gaussian processes
• [hep-ex]Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
• [math.AG]The maximum likelihood degree of sparse polynomial systems
• [math.AT]Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User’s Guide
• [math.CO]Connectivity of 1d random geometric graphs
• [math.NA]Acceleration of the kernel herding algorithm by improved gradient approximation
• [math.OC]Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
• [math.OC]Optimal control of robust team stochastic games
• [math.OC]Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems
• [math.OC]Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
• [math.PR]Singularity for bifractional and trifractional Brownian motions based on their Hurst indices
• [math.ST]Convergence guarantee for the sparse monotone single index model
• [math.ST]Eigenvalue distribution of a high-dimensional distance covariance matrix with application
• [math.ST]General order adjusted Edgeworth expansions for generalized -tests
• [math.ST]Nonparametric regression for locally stationary functional time series
• [math.ST]On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
• [math.ST]Posterior contraction for deep Gaussian process priors
• [math.ST]Sparsity Likelihood for Sparse Signal and Change-point Detection
• [physics.comp-ph]Bayesian inference-driven model parameterization and model selection for 2CLJQ fluid models
• [physics.data-an]AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond
• [physics.flu-dyn]Inferring micro-bubble dynamics with physics-informed deep learning
• [physics.soc-ph]Personality correlates of key roles in informal advice networks
• [physics.soc-ph]Power-grid stability prediction using transferable machine learnings
• [physics.soc-ph]The effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions
• [q-bio.BM]Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
• [q-bio.GN]Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
• [q-bio.NC]A brain basis of dynamical intelligence for AI and computational neuroscience
• [q-bio.NC]Bayesian reconstruction of memories stored in neural networks from their connectivity
• [q-bio.NC]NeuroGen: activation optimized image synthesis for discovery neuroscience
• [quant-ph]Cyberattacks on Quantum Networked Computation and Communications — Hacking the Superdense Coding Protocol on IBM’s Quantum Computers
• [quant-ph]The equivalence between correctability of deletions and insertions of separable states in quantum codes
• [stat.AP]Are renewable energies on a sustained path? Analysis of selected case-studies from the pre-pandemic-era
• [stat.AP]Framing causal questions in life course epidemiology
• [stat.AP]What makes you unique?
• [stat.ME]A Distribution Free Conditional Independence Test with Applications to Causal Discovery
• [stat.ME]A powerful test for differentially expressed gene pathways via graph-informed structural equation modeling
• [stat.ME]Bayesian inference under model misspecification using transport-Lagrangian distances: an application to seismic inversion
• [stat.ME]Collective anomaly detection in High-dimensional VAR Models
• [stat.ME]Disagreement Concerning Effect-Measure Modification
• [stat.ME]General Unbiased Estimating Equations for Variance Components in Linear Mixed Models
• [stat.ME]Group-wise shrinkage for multiclass Gaussian Graphical Models
• [stat.ME]Reducing survivorship bias due to heterogeneity when comparing treated and controls with a different start of follow up
• [stat.ME]Shrinkage-based random local clocks with scalable inference
• [stat.ME]Spatial Statistics
• [stat.ME]Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
• [stat.ME]The Cluster Depth Tests: Toward Point-Wise Strong Control of the Family-Wise Error Rate in Massively Univariate Tests with Application to M/EEG
• [stat.ME]Trimmed Match Design for Randomized Paired Geo Experiments
• [stat.ML]Calibrating sufficiently
• [stat.ML]Classifying variety of customer’s online engagement for churn prediction with mixed-penalty logistic regression
• [stat.ML]Cross-Cluster Weighted Forests
• [stat.ML]Improving Graph Neural Networks with Simple Architecture Design
• [stat.ML]Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
• [stat.ML]Sobolev Norm Learning Rates for Conditional Mean Embeddings
• [stat.ML]Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
• [stat.ML]Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

·····································

• [cs.AI]A Formal Framework for Reasoning about Agents’ Independence in Self-organizing Multi-agent Systems
Jieting Luo, Beishui Liao, John-Jules Meyer
http://arxiv.org/abs/2105.07648v1

• [cs.AI]A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, Ketan Kotecha
http://arxiv.org/abs/2105.07878v1

• [cs.AI]Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
Scott Cheng-Hsin Yang, Patrick Shafto
http://arxiv.org/abs/2105.07508v1

• [cs.AI]Approximate Novelty Search
Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas
http://arxiv.org/abs/2105.07691v1

• [cs.AI]Automated Biodesign Engineering by Abductive Meta-Interpretive Learning
Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin
http://arxiv.org/abs/2105.07758v1

• [cs.AI]Curiosity-driven Intuitive Physics Learning
Tejas Gaikwad, Romi Banerjee
http://arxiv.org/abs/2105.07426v1

• [cs.AI]DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification
Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani
http://arxiv.org/abs/2105.07776v1

• [cs.AI]Decision Making with Differential Privacy under a Fairness Lens
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck
http://arxiv.org/abs/2105.07513v1

• [cs.AI]Designer-User Communication for XAI: An epistemological approach to discuss XAI design
Juliana Jansen Ferreira, Mateus Monteiro
http://arxiv.org/abs/2105.07804v1

• [cs.AI]Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
http://arxiv.org/abs/2105.07752v1

• [cs.AI]HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Jiayi Chen, Aidong Zhang
http://arxiv.org/abs/2105.07889v1

• [cs.AI]Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose
Vaishali Mahipal, Mohammad Arif Ul Alam
http://arxiv.org/abs/2105.07224v1

• [cs.AI]Learning User Embeddings from Temporal Social Media Data: A Survey
Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan
http://arxiv.org/abs/2105.07996v1

• [cs.AI]Model-Based Offline Planning with Trajectory Pruning
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
http://arxiv.org/abs/2105.07351v1

• [cs.AI]Monitoring electrical systems data-network equipment by means ofFuzzy and Paraconsistent Annotated Logic
Hyghor Miranda Cortes, Paulo Eduardo Santos, Joao Inacio da Silva Filho
http://arxiv.org/abs/2105.07579v1

• [cs.AI]Order Effects in Bayesian Updates
Catarina Moreira, Jose Acacio de Barros
http://arxiv.org/abs/2105.07354v1

• [cs.AI]Private Facial Diagnosis as an Edge Service for Parkinson’s DBS Treatment Valuation
Richard Jiang, Paul Chazot, Danny Crookes, Ahmed Bouridane, M Emre Celebi
http://arxiv.org/abs/2105.07533v1

• [cs.AI]Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer
http://arxiv.org/abs/2105.07420v1

• [cs.AI]Texture Generation with Neural Cellular Automata
Alexander Mordvintsev, Eyvind Niklasson, Ettore Randazzo
http://arxiv.org/abs/2105.07299v1

• [cs.AI]Towards a Predictive Processing Implementation of the Common Model of Cognition
M. A. Kelly, Alexander Ororbia
http://arxiv.org/abs/2105.07308v1

• [cs.AI]Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao
http://arxiv.org/abs/2105.07382v1

• [cs.AR]Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks
Amir-Hossein Kiamarzi, Pezhman Torabi, Reza Sameni
http://arxiv.org/abs/2105.07131v1

• [cs.CG]Compacting Squares
Irina Kostitsyna, Irene Parada, Willem Sonke, Bettina Speckmann, Jules Wulms
http://arxiv.org/abs/2105.07997v1

• [cs.CL]A CCG-Based Version of the DisCoCat Framework
Richie Yeung, Dimitri Kartsaklis
http://arxiv.org/abs/2105.07720v1

• [cs.CL]A Cognitive Regularizer for Language Modeling
Jason Wei, Clara Meister, Ryan Cotterell
http://arxiv.org/abs/2105.07144v1

• [cs.CL]Annotation Uncertainty in the Context of Grammatical Change
Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier
http://arxiv.org/abs/2105.07270v1

• [cs.CL]Automatic Fake News Detection: Are Models Learning to Reason?
Casper Hansen, Christian Hansen, Lucas Chaves Lima
http://arxiv.org/abs/2105.07698v1

• [cs.CL]Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes
Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy
http://arxiv.org/abs/2105.07571v1

• [cs.CL]Data Augmentation for Sign Language Gloss Translation
Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg
http://arxiv.org/abs/2105.07476v1

• [cs.CL]Dependency Parsing as MRC-based Span-Span Prediction
Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li
http://arxiv.org/abs/2105.07654v1

• [cs.CL]DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen
http://arxiv.org/abs/2105.07149v1

• [cs.CL]Doc2Dict: Information Extraction as Text Generation
Benjamin Townsend, Eamon Ito-Fisher, Lily Zhang, Madison May
http://arxiv.org/abs/2105.07510v1

• [cs.CL]Ensemble-based Transfer Learning for Low-resource Machine Translation Quality Estimation
Ting-Wei Wu, Yung-An Hsieh, Yi-Chieh Liu
http://arxiv.org/abs/2105.07622v1

• [cs.CL]Factoring Statutory Reasoning as Language Understanding Challenges
Nils Holzenberger, Benjamin Van Durme
http://arxiv.org/abs/2105.07903v1

• [cs.CL]Few-NERD: A Few-Shot Named Entity Recognition Dataset
Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu
http://arxiv.org/abs/2105.07464v1

• [cs.CL]Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani
http://arxiv.org/abs/2105.08039v1

• [cs.CL]From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanović, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank
http://arxiv.org/abs/2105.07316v1

• [cs.CL]How is BERT surprised? Layerwise detection of linguistic anomalies
Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz
http://arxiv.org/abs/2105.07452v1

• [cs.CL]Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter
Wei Liu, Xiyan Fu, Yue Zhang, Wenming Xiao
http://arxiv.org/abs/2105.07148v1

• [cs.CL]Multilingual Offensive Language Identification for Low-resource Languages
Tharindu Ranasinghe, Marcos Zampieri
http://arxiv.org/abs/2105.05996v2

• [cs.CL]OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng
http://arxiv.org/abs/2105.07688v1

• [cs.CL]Premise-based Multimodal Reasoning: A Human-like Cognitive Process
Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei
http://arxiv.org/abs/2105.07122v1

• [cs.CL]Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
MeiXing Dong, Xueming Xu, Yiwei Zhang, Ian Stewart, Rada Mihalcea
http://arxiv.org/abs/2105.08031v1

• [cs.CL]SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services
Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg
http://arxiv.org/abs/2105.08049v1

• [cs.CL]STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
Luke Breitfeller, Aakanksha Naik, Carolyn Rose
http://arxiv.org/abs/2105.07314v1

• [cs.CL]SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
Kuan Xuan, Yongbo Wang, Yongliang Wang, Zujie Wen, Yang Dong
http://arxiv.org/abs/2105.07911v1

• [cs.CL]Sentence Similarity Based on Contexts
Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan
http://arxiv.org/abs/2105.07623v1

• [cs.CL]Stage-wise Fine-tuning for Graph-to-Text Generation
Qingyun Wang, Semih Yavuz, Victoria Lin, Heng Ji, Nazneen Rajani
http://arxiv.org/abs/2105.08021v1

• [cs.CL]String Theories involving Regular Membership Predicates: From Practice to Theory and Back
Murphy Berzish, Joel D. Day, Vijay Ganesh, Mitja Kulczynski, Florin Manea, Federico Mora, Dirk Nowotka
http://arxiv.org/abs/2105.07220v1

• [cs.CL]Studying the association of online brand importance with museum visitors: An application of the semantic brand score
A. Fronzetti Colladon, F. Grippa, R. Innarella
http://arxiv.org/abs/2105.07749v1

• [cs.CL]Supporting Context Monotonicity Abstractions in Neural NLI Models
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
http://arxiv.org/abs/2105.08008v1

• [cs.CL]TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua
http://arxiv.org/abs/2105.07624v1

• [cs.CL]The Low-Dimensional Linear Geometry of Contextualized Word Representations
Evan Hernandez, Jacob Andreas
http://arxiv.org/abs/2105.07109v1

• [cs.CL]The Volctrans Neural Speech Translation System for IWSLT 2021
Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei Li
http://arxiv.org/abs/2105.07319v1

• [cs.CL]The interplay between morphological typology and script on a novel multi-layer Algerian dialect corpus
Samia Touileb, Jeremy Barnes
http://arxiv.org/abs/2105.07400v1

• [cs.CR]A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
http://arxiv.org/abs/2105.07754v1

• [cs.CR]Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
Franziska Boenisch, Philip Sperl, Konstantin Böttinger
http://arxiv.org/abs/2105.07985v1

• [cs.CR]Information Theoretic Key Agreement Protocol based on ECG signals
Anna V. Guglielmi, Alberto Muraro, Giulia Cisotto, Nicola Laurenti
http://arxiv.org/abs/2105.07037v1

• [cs.CR]On Decentralization of Bitcoin: An Asset Perspective
Ling Cheng, Feida Zhu, Huiwen Liu, Chunyan Miao
http://arxiv.org/abs/2105.07646v1

• [cs.CR]RAIDER: Reinforcement-aided Spear Phishing Detector
Keelan Evans, Alsharif Abuadbba, Mohiuddin Ahmed, Tingmin Wu, Mike Johnstone, Surya Nepal
http://arxiv.org/abs/2105.07582v1

• [cs.CV]3D to 4D Facial Expressions Generation Guided by Landmarks
Naima Otberdout, Claudio Ferrari, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo
http://arxiv.org/abs/2105.07463v1

• [cs.CV]A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild
Kamala Gajurel, Cuncong Zhong, Guanghui Wang
http://arxiv.org/abs/2105.07625v1

• [cs.CV]A Large Visual, Qualitative and Quantitative Dataset of Web Pages
Christian Mejia-Escobar, Miguel Cazorla, Ester Martinez-Martin
http://arxiv.org/abs/2105.07113v1

• [cs.CV]A Light Stage on Every Desk
Soumyadip Sengupta, Brian Curless, Ira Kemelmacher-Shlizerman, Steve Seitz
http://arxiv.org/abs/2105.08051v1

• [cs.CV]Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
Lei Sun, Jia Wang, Kailun Yang, Kaikai Wu, Xiangdong Zhou, Kaiwei Wang, Jian Bai
http://arxiv.org/abs/2105.07209v1

• [cs.CV]AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
http://arxiv.org/abs/2105.07239v1

• [cs.CV]Algorithmic Principles of Camera-based Respiratory Motion Extraction
Wenjin Wang, Albertus C. den Brinker
http://arxiv.org/abs/2105.07537v1

• [cs.CV]Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
http://arxiv.org/abs/2105.07197v1

• [cs.CV]AudioVisual Video Summarization
Bin Zhao, Maoguo Gong, Xuelong Li
http://arxiv.org/abs/2105.07667v1

• [cs.CV]BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du
http://arxiv.org/abs/2105.07364v1

• [cs.CV]BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mário Caetano, Begüm Demir, Volker Markl
http://arxiv.org/abs/2105.07921v1

• [cs.CV]Brain Inspired Object Recognition System
Pinaki Roy Chowdhury, Angad Wadhwa, Antariksha Kar, Nikhil Tyagi
http://arxiv.org/abs/2105.07237v1

• [cs.CV]Can self-training identify suspicious ugly duckling lesions?
Mohammadreza Mohseni, Jordan Yap, William Yolland, Arash Koochek, M Stella Atkins
http://arxiv.org/abs/2105.07116v1

• [cs.CV]Class-Incremental Few-Shot Object Detection
Pengyang Li, Yanan Li, Donghui Wang
http://arxiv.org/abs/2105.07637v1

• [cs.CV]Composite Localization for Human Pose Estimation
ZiFan Chen, Xin Qin, Chao Yang, Li Zhang
http://arxiv.org/abs/2105.07245v1

• [cs.CV]Cross-Modal Progressive Comprehension for Referring Segmentation
Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li
http://arxiv.org/abs/2105.07175v1

• [cs.CV]Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation
Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
http://arxiv.org/abs/2105.07715v1

• [cs.CV]Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Peter Karkus, Shaojun Cai, David Hsu
http://arxiv.org/abs/2105.07593v1

• [cs.CV]Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian, Olivier J. Henaff, Aaron van den Oord
http://arxiv.org/abs/2105.08054v1

• [cs.CV]EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
Bin Zhao, Xuelong Li
http://arxiv.org/abs/2105.07673v1

• [cs.CV]ExSinGAN: Learning an Explainable Generative Model from a Single Image
ZiCheng Zhang, CongYing Han, TianDe Guo
http://arxiv.org/abs/2105.07350v1

• [cs.CV]FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval
Xin Liu, Xingzhi Wang, Yiu-ming Cheung
http://arxiv.org/abs/2105.07128v1

• [cs.CV]FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
Yi Wei, Shang Su, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/2105.07647v1

• [cs.CV]Face Attributes as Cues for Deep Face Recognition Understanding
Matheus Alves Diniz, William Robson Schwartz
http://arxiv.org/abs/2105.07054v1

• [cs.CV]Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
http://arxiv.org/abs/2105.07474v1

• [cs.CV]FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
Zhiwen Fan, Lingjie Zhu, Honghua Li, Xiaohao Chen, Siyu Zhu, Ping Tan
http://arxiv.org/abs/2105.07147v1

• [cs.CV]Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity
Etienne DAVID, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadhegi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo
http://arxiv.org/abs/2105.07660v1

• [cs.CV]HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding
Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen
http://arxiv.org/abs/2105.07751v1

• [cs.CV]Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers
Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek
http://arxiv.org/abs/2105.07402v1

• [cs.CV]Large-Scale Unsupervised Person Re-Identification with Contrastive Learning
Weiquan Huang, Yan Bai, Qiuyu Ren, Xinbo Zhao, Ming Feng, Yin Wang
http://arxiv.org/abs/2105.07914v1

• [cs.CV]Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang
http://arxiv.org/abs/2105.07561v1

• [cs.CV]Learning to Automatically Catch Potholes in Worldwide Road Scene Images
J. Javier Yebes, David Montero, Ignacio Arriola
http://arxiv.org/abs/2105.07986v1

• [cs.CV]Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
http://arxiv.org/abs/2105.07830v1

• [cs.CV]Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation
Giorgos Kordopatis-Zilos, Panagiotis Galopoulos, Symeon Papadopoulos, Ioannis Kompatsiaris
http://arxiv.org/abs/2105.07645v1

• [cs.CV]Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
http://arxiv.org/abs/2105.07484v1

• [cs.CV]Mask-Guided Discovery of Semantic Manifolds in Generative Models
Mengyu Yang, David Rokeby, Xavier Snelgrove
http://arxiv.org/abs/2105.07273v1

• [cs.CV]Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
http://arxiv.org/abs/2105.07269v1

• [cs.CV]Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Chenyu You, Ruihan Zhao, Lawrence Staib, James S. Duncan
http://arxiv.org/abs/2105.07059v1

• [cs.CV]Move2Hear: Active Audio-Visual Source Separation
Sagnik Majumder, Ziad Al-Halah, Kristen Grauman
http://arxiv.org/abs/2105.07142v1

• [cs.CV]Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Lin Wu, Teng Wang, Changyin Sun
http://arxiv.org/abs/2105.07800v1

• [cs.CV]Multi-object Tracking with Tracked Object Bounding Box Association
Nanyang Yang, Yi Wang, Lap-Pui Chau
http://arxiv.org/abs/2105.07901v1

• [cs.CV]MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang
http://arxiv.org/abs/2105.07404v1

• [cs.CV]MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang, Sijie Zhu, Matias Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
http://arxiv.org/abs/2105.07085v1

• [cs.CV]NeLF: Practical Novel View Synthesis with Neural Light Field
Celong Liu, Zhong Li, Junsong Yuan, Yi Xu
http://arxiv.org/abs/2105.07112v1

• [cs.CV]Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification
Shijie Yu, Dapeng Chen, Rui Zhao, Haobin Chen, Yu Qiao
http://arxiv.org/abs/2105.07345v1

• [cs.CV]One for All: An End-to-End Compact Solution for Hand Gesture Recognition
Monu Verma, Ayushi Gupta, santosh kumar Vipparthi
http://arxiv.org/abs/2105.07143v1

• [cs.CV]Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng
http://arxiv.org/abs/2105.07635v1

• [cs.CV]Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
http://arxiv.org/abs/2105.07553v1

• [cs.CV]Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations
Michal Uricar, Ganesh Sistu, Lucie Yahiaoui, Senthil Yogamani
http://arxiv.org/abs/2105.07930v1

• [cs.CV]Regularized Deep Linear Discriminant Analysis
Hongwei Chen, Wen Lu
http://arxiv.org/abs/2105.07129v1

• [cs.CV]Rethinking “Batch” in BatchNorm
Yuxin Wu, Justin Johnson
http://arxiv.org/abs/2105.07576v1

• [cs.CV]Rethinking the Design Principles of Robust Vision Transformer
Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Shaokai Ye, Yuan He, Hui Xue
http://arxiv.org/abs/2105.07926v1

• [cs.CV]SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
http://arxiv.org/abs/2105.07014v1

• [cs.CV]STRIDE : Scene Text Recognition In-Device
Rachit S Munjal, Arun D Prabhu, Nikhil Arora, Sukumar Moharana, Gopi Ramena
http://arxiv.org/abs/2105.07795v1

• [cs.CV]Semi-supervised Contrastive Learning with Similarity Co-calibration
Yuhang Zhang, Xiaopeng Zhang, Robert. C. Qiu, Jie Li, Haohang Xu, Qi Tian
http://arxiv.org/abs/2105.07387v1

• [cs.CV]Shared and Private VAEs with Generative Replay for Continual Learning
Subhankar Ghosh
http://arxiv.org/abs/2105.07627v1

• [cs.CV]Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention
Nihar Bendre, Kevin Desai, Peyman Najafirad
http://arxiv.org/abs/2105.07141v1

• [cs.CV]Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari
http://arxiv.org/abs/2105.07174v1

• [cs.CV]StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
Ge Zhang, Or Litany, Srinath Sridhar, Leonidas Guibas
http://arxiv.org/abs/2105.08016v1

• [cs.CV]Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial Networks
Sho Inoue, Tad Gonsalves
http://arxiv.org/abs/2105.07621v1

• [cs.CV]Substitutional Neural Image Compression
Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin
http://arxiv.org/abs/2105.07512v1

• [cs.CV]Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval
Kazuya Ueki
http://arxiv.org/abs/2105.07391v1

• [cs.CV]TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
Margarita Grinvald, Federico Tombari, Roland Siegwart, Juan Nieto
http://arxiv.org/abs/2105.07468v1

• [cs.CV]Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks
Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher
http://arxiv.org/abs/2105.07789v1

• [cs.CV]The Boombox: Visual Reconstruction from Acoustic Vibrations
Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick
http://arxiv.org/abs/2105.08052v1

• [cs.CV]Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning
Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi
http://arxiv.org/abs/2105.07606v1

• [cs.CV]Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
http://arxiv.org/abs/2105.07639v1

• [cs.CV]Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation
Amirhossein Kardoost, Margret Keuper
http://arxiv.org/abs/2105.07469v1

• [cs.CV]Unknown-box Approximation to Improve Optical Character Recognition Performance
Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer
http://arxiv.org/abs/2105.07983v1

• [cs.CV]Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
http://arxiv.org/abs/2105.07322v1

• [cs.CV]Vision Transformers are Robust Learners
Sayak Paul, Pin-Yu Chen
http://arxiv.org/abs/2105.07581v1

• [cs.CV]Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae Eun Lee, Minyoung Chung, Yeong-Gil Shin
http://arxiv.org/abs/2105.07672v1

• [cs.CY]Cybernetics and the Future of Work
Ashitha Ganapathy, Michael Timothy Bennett
http://arxiv.org/abs/2105.07870v1

• [cs.CY]Follow the Money: Analyzing @slpng_giants_pt’s Strategy to Combat Misinformation
Bárbara Gomes Ribeiro, Manoel Horta Ribeiro, Virgílio Almeida, Wagner Meira Jr
http://arxiv.org/abs/2105.07523v1

• [cs.CY]Investigating Protected Health Information Leakage from Android Medical Applications
George Grispos, Talon Flynn, William Glisson, Kim-Kwang Raymond Choo
http://arxiv.org/abs/2105.07360v1

• [cs.CY]Urban Analytics: History, Trajectory, and Critique
Geoff Boeing, Michael Batty, Shan Jiang, Lisa Schweitzer
http://arxiv.org/abs/2105.07020v1

• [cs.DB]Generic Itemset Mining Based on Reinforcement Learning
Kazuma Fujioka, Kimiaki Shirahama
http://arxiv.org/abs/2105.07753v1

• [cs.DC]A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum
Narges Mehran, Dragi Kimovski, Radu Prodan
http://arxiv.org/abs/2105.07936v1

• [cs.DC]A fast vectorized sorting implementation based on the ARM scalable vector extension (SVE)
Bérenger Bramas
http://arxiv.org/abs/2105.07782v1

• [cs.DC]Advanced Synchronization Techniques for Task-based Runtime Systems
David Álvarez, Kevin Sala, Marcos Maroñas, Aleix Roca, Vicenç Beltran
http://arxiv.org/abs/2105.07902v1

• [cs.DC]Byzantine-Resilient Population Protocols
Costas Busch, Dariusz R. Kowalski
http://arxiv.org/abs/2105.07123v1

• [cs.DC]Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal
Manuel Costanzo, Enzo Rucci, Ulises Costi, Franco Chichizola, Marcelo Naiouf
http://arxiv.org/abs/2105.07298v1

• [cs.DC]Compressed Communication for Distributed Training: Adaptive Methods and System
Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin
http://arxiv.org/abs/2105.07829v1

• [cs.DC]DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling
Yuping Fan, Zhiling Lan
http://arxiv.org/abs/2105.07526v1

• [cs.DC]EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang
http://arxiv.org/abs/2105.07603v1

• [cs.DC]Intra-process Caching and Reuse of Threads
Dave Dice, Alex Kogan
http://arxiv.org/abs/2105.07497v1

• [cs.DC]LocalNewton: Reducing Communication Bottleneck for Distributed Learning
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael Mahoney
http://arxiv.org/abs/2105.07320v1

• [cs.DC]Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language
Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Carole Goble
http://arxiv.org/abs/2105.07028v1

• [cs.DC]Toward the Design of Fault-Tolerance- and Peak- Power-Aware Multi-Core Mixed-Criticality Systems
Behnaz Ranjbar, Ali Hosseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar
http://arxiv.org/abs/2105.07739v1

• [cs.DC]Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang
http://arxiv.org/abs/2105.07806v1

• [cs.DL]Content Analysis Application in Nursing: A Synthetic Knowledge Synthesis Meta-Study
Helena Blažun Vošner, Peter Kokol, Jernej Završnik, Danica Železnik
http://arxiv.org/abs/2105.07189v1

• [cs.IR]Collaborative Variational Bandwidth Auto-encoder for Recommender Systems
Yaochen Zhu, Zhenzhong Chen
http://arxiv.org/abs/2105.07597v1

• [cs.IR]How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
Iain Mackie, Jeffery Dalton, Andrew Yates
http://arxiv.org/abs/2105.07975v1

• [cs.IR]Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua
http://arxiv.org/abs/2105.07585v1

• [cs.IR]Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels
Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi
http://arxiv.org/abs/2105.07062v1

• [cs.IR]Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
http://arxiv.org/abs/2105.07377v1

• [cs.IR]TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data
Malik Yousef, Jamal Al Qundus, Silvio Peikert, Adrian Paschke
http://arxiv.org/abs/2105.07826v1

• [cs.IR]Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
http://arxiv.org/abs/2105.07706v1

• [cs.IT]A Unified Adaptive Recoding Framework for Batched Network Coding
Hoover H. F. Yin, Bin Tang, Ka Hei Ng, Shenghao Yang, Xishi Wang, Qiaoqiao Zhou
http://arxiv.org/abs/2105.07614v1

• [cs.IT]Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
http://arxiv.org/abs/2105.07535v1

• [cs.IT]Attacking Masked Cryptographic Implementations: Information-Theoretic Bounds
Wei Cheng, Yi Liu, Sylvain Guilley, Olivier Rioul
http://arxiv.org/abs/2105.07436v1

• [cs.IT]BAR: Blockwise Adaptive Recoding for Batched Network Coding
Hoover H. F. Yin, Shenghao Yang, Qiaoqiao Zhou, Lily M. L. Yung, Ka Hei Ng
http://arxiv.org/abs/2105.07617v1

• [cs.IT]Bounds on the Capacity of PIR over Graphs
Bar Sadeh, Yujie Gu, Itzhak Tamo
http://arxiv.org/abs/2105.07704v1

• [cs.IT]Capacity Scalability of Line Networks with Batched Codes
Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang
http://arxiv.org/abs/2105.07669v1

• [cs.IT]Closed-form Characterization of the MGF of AoI in Energy Harvesting Status Update Systems
Mohamed A. Abd-Elmagid, Harpreet S. Dhillon
http://arxiv.org/abs/2105.07074v1

• [cs.IT]Construction and enumeration of left dihedral codes satisfying certain duality properties
Yuan Cao, Yonglin Cao, Fanghui Ma
http://arxiv.org/abs/2105.07924v1

• [cs.IT]Dimension-Free Empirical Entropy Estimation
Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
http://arxiv.org/abs/2105.07408v1

• [cs.IT]Dimensioning an Indoor SISO RIS-system: Approximations and Equivalence Models
Saksham Bhushan, Sai Teja Suggala, Arzad A. Kherani, Sreejith T. V
http://arxiv.org/abs/2105.07383v1

• [cs.IT]Distributed Computation over MAC via Kolmogorov-Arnold Representation
Derya Malak, Ali Tajer
http://arxiv.org/abs/2105.07725v1

• [cs.IT]Divergence Estimation in Message Passing algorithms
Nikolajs Skuratovs, Michael Davies
http://arxiv.org/abs/2105.07086v1

• [cs.IT]Generalized Nearest Neighbor Decoding for MIMO Channels with Imperfect Channel State Information
Shuqin Pang, Wenyi Zhang
http://arxiv.org/abs/2105.07212v1

• [cs.IT]High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan, Marwan Jalaleddine, Warren J. Gross
http://arxiv.org/abs/2105.07115v1

• [cs.IT]Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation
Seung Min Yu, Jihong Park, Sung Mo Kim, Seung-Woo Ko
http://arxiv.org/abs/2105.07475v1

• [cs.IT]Intrablock Interleaving for Batched Network Coding with Blockwise Adaptive Recoding
Hoover H. F. Yin, Ka Hei Ng, Allen Z. Zhong, Raymond W. Yeung, Shenghao Yang, Ian Y. Y. Chan
http://arxiv.org/abs/2105.07609v1

• [cs.IT]Left Dihedral Codes over Finite Chain Rings
H. Aghili, R. Sobhani
http://arxiv.org/abs/2105.07499v1

• [cs.IT]Low-Complexity PIR Using Subfield Subcodes
Christian J. Lex, Oliver W. Gnilke
http://arxiv.org/abs/2105.07369v1

• [cs.IT]N-ary Huffman Encoding Using High-Degree Trees — A Performance Comparison
Ioannis S. Xezonakis, Svoronos Leivadaros
http://arxiv.org/abs/2105.07073v1

• [cs.IT]On Conditional -Information and its Application to Side-Channel Analysis
Yi Liu, Wei Cheng, Sylvain Guilley, Olivier Rioul
http://arxiv.org/abs/2105.07167v1

• [cs.IT]On Converse Results for Secure Index Coding
Yucheng Liu, Lawrence Ong, Parastoo Sadeghi, Neda Aboutorab, Arman Sharififar
http://arxiv.org/abs/2105.07211v1

• [cs.IT]On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI
Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran
http://arxiv.org/abs/2105.07398v1

• [cs.IT]On the Stability Region of Intermittent Interference Networks
Sajjad Nassirpour, Alireza Vahid
http://arxiv.org/abs/2105.07089v1

• [cs.IT]Price of Precision in Coded Distributed Matrix Multiplication: A Dimensional Analysis
Junge Wang, Zhuqing Jia, Syed A. Jafar
http://arxiv.org/abs/2105.07567v1

• [cs.IT]Rate-Splitting Multiple Access for Downlink Multiuser MIMO: Precoder Optimization and PHY-Layer Design
Anup Mishra, Yijie Mao, Onur Dizdar, Bruno Clerckx
http://arxiv.org/abs/2105.07362v1

• [cs.IT]Using Ethnographic Methods to Classify the Human Experience in Medicine: A Case Study of the Presence Ontology
Amrapali Maitra, Maulik R. Kamdar, Donna M. Zulman, Marie C. Haverfield, Cati Brown-Johnson, Rachel Schwartz, Sonoo Thadaney Israni, Abraham Verghese, Mark A. Musen
http://arxiv.org/abs/2105.07238v1

• [cs.IT]Utility Maximization for Multihop Wireless Networks Employing BATS Codes
Yanyan Dong, Sheng Jin, Yanzuo Chen, Shenghao Yang, Hoover H. F. Yin
http://arxiv.org/abs/2105.07605v1

• [cs.LG]A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers
Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Naseer Ahmad, Samantha Haycocks, David Gillespie, Moi Hoon Yap
http://arxiv.org/abs/2105.07763v1

• [cs.LG]Activation function design for deep networks: linearity and effective initialisation
Michael Murray, Vinayak Abrol, Jared Tanner
http://arxiv.org/abs/2105.07741v1

• [cs.LG]Algorithm-Agnostic Explainability for Unsupervised Clustering
Charles A. Ellis, Mohammad S. E. Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun
http://arxiv.org/abs/2105.08053v1

• [cs.LG]An Effective Baseline for Robustness to Distributional Shift
Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff Bilmes
http://arxiv.org/abs/2105.07107v1

• [cs.LG]An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang
http://arxiv.org/abs/2105.07246v1

• [cs.LG]An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis
Haotian Gu, Xin Guo
http://arxiv.org/abs/2105.08037v1

• [cs.LG]An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks
Cheng Qiu, Yuzi Han, Logesh Shanmugam, Fengyang Jiang, Zhidong Guan, Shanyi Du, Jinglei Yang
http://arxiv.org/abs/2105.07194v1

• [cs.LG]Application of Deep Self-Attention in Knowledge Tracing
Junhao Zeng, Qingchun Zhang, Ning Xie, Bochun Yang
http://arxiv.org/abs/2105.07909v1

• [cs.LG]Be Causal: De-biasing Social Network Confounding in Recommendation
Qian Li, Xiangmeng Wang, Guandong Xu
http://arxiv.org/abs/2105.07775v1

• [cs.LG]Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods
Christopher Zach
http://arxiv.org/abs/2105.07231v1

• [cs.LG]CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
Ming-Kun Xie, Sheng-Jun Huang
http://arxiv.org/abs/2105.07338v1

• [cs.LG]CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes
http://arxiv.org/abs/2105.07917v1

• [cs.LG]Capsule GAN for Prostate MRI Super-Resolution
Mahdiyar Molahasani Majdabadi, S. Deivalakshmi, Seokbum Ko
http://arxiv.org/abs/2105.07495v1

• [cs.LG]Choice Set Confounding in Discrete Choice
Kiran Tomlinson, Johan Ugander, Austin R. Benson
http://arxiv.org/abs/2105.07959v1

• [cs.LG]Cohort Shapley value for algorithmic fairness
Masayoshi Mase, Art B. Owen, Benjamin B. Seiler
http://arxiv.org/abs/2105.07168v1

• [cs.LG]Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning
http://arxiv.org/abs/2105.07542v1

• [cs.LG]Continual Learning with Echo State Networks
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
http://arxiv.org/abs/2105.07674v1

• [cs.LG]Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial
Swagat Kumar
http://arxiv.org/abs/2105.07998v1

• [cs.LG]Convex optimization for actionable & plausible counterfactual explanations
André Artelt, Barbara Hammer
http://arxiv.org/abs/2105.07630v1

• [cs.LG]DOC3-Deep One Class Classification using Contradictions
Sauptik Dhar, Bernardo Gonzalez Torres
http://arxiv.org/abs/2105.07636v1

• [cs.LG]Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
Vinicius L S Silva, Claire E Heaney, Yaqi Li, Christopher C Pain
http://arxiv.org/abs/2105.07729v1

• [cs.LG]Disentangled Variational Information Bottleneck for Multiview Representation Learning
Feng Bao
http://arxiv.org/abs/2105.07599v1

• [cs.LG]Drill the Cork of Information Bottleneck by Inputting the Most Important Data
Xinyu Peng, Jiawei Zhang, Fei-Yue Wang, Li Li
http://arxiv.org/abs/2105.07181v1

• [cs.LG]Dynamic Pooling Improves Nanopore Base Calling Accuracy
Vladimír Boža, Peter Perešíni, Broňa Brejová, Tomáš Vinař
http://arxiv.org/abs/2105.07520v1

• [cs.LG]Expressive Explanations of DNNs by Combining Concept Analysis with ILP
Johannes Rabold, Gesina Schwalbe, Ute Schmid
http://arxiv.org/abs/2105.07371v1

• [cs.LG]Feature-Based Interpretable Reinforcement Learning based on State-Transition Models
Omid Davoodi, Majid Komeili
http://arxiv.org/abs/2105.07099v1

• [cs.LG]Federated Knowledge Graphs Embedding
Hao Peng, Haoran Li, Yangqiu Song, Vincent Zheng, Jianxin Li
http://arxiv.org/abs/2105.07615v1

• [cs.LG]Graph-Free Knowledge Distillation for Graph Neural Networks
Xiang Deng, Zhongfei Zhang
http://arxiv.org/abs/2105.07519v1

• [cs.LG]High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
http://arxiv.org/abs/2105.07078v1

• [cs.LG]How to Explain Neural Networks: A perspective of data space division
Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu
http://arxiv.org/abs/2105.07831v1

• [cs.LG]Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization
Haichao Yu, Linjie Yang, Humphrey Shi
http://arxiv.org/abs/2105.07331v1

• [cs.LG]Joint estimation of multiple Granger causal networks: Inference of group-level brain connectivity
Parinthorn Manomaisaowapak, Jitkomut Songsiri
http://arxiv.org/abs/2105.07196v1

• [cs.LG]Knowledge State Networks for Effective Skill Assessment in Atomic Learning
Julian Rasch, David Middelbeck
http://arxiv.org/abs/2105.07733v1

• [cs.LG]Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
http://arxiv.org/abs/2105.07965v1

• [cs.LG]Learning a Latent Simplex in Input-Sparsity Time
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou
http://arxiv.org/abs/2105.08005v1

• [cs.LG]Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin
http://arxiv.org/abs/2105.07029v1

• [cs.LG]Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
Robert A. Cohen, Hyomin Choi, Ivan V. Bajić
http://arxiv.org/abs/2105.07102v1

• [cs.LG]Neural Trees for Learning on Graphs
Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone
http://arxiv.org/abs/2105.07264v1

• [cs.LG]On the Distributional Properties of Adaptive Gradients
Zhang Zhiyi, Liu Ziyin
http://arxiv.org/abs/2105.07222v1

• [cs.LG]Pay Attention to MLPs
Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
http://arxiv.org/abs/2105.08050v1

• [cs.LG]Physics-informed attention-based neural network for solving non-linear partial differential equations
Ruben Rodriguez-Torrado, Pablo Ruiz, Luis Cueto-Felgueroso, Michael Cerny Green, Tyler Friesen, Sebastien Matringe, Julian Togelius
http://arxiv.org/abs/2105.07898v1

• [cs.LG]Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa
http://arxiv.org/abs/2105.07111v1

• [cs.LG]Real-time Detection of Practical Universal Adversarial Perturbations
Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu
http://arxiv.org/abs/2105.07334v1

• [cs.LG]Regret Minimization Experience Replay
Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
http://arxiv.org/abs/2105.07253v1

• [cs.LG]Rethinking Skip Connection with Layer Normalization in Transformers and ResNets
Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou
http://arxiv.org/abs/2105.07205v1

• [cs.LG]Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
http://arxiv.org/abs/2105.08024v1

• [cs.LG]Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search
Aleksandra Malkova, Loic Pauletto, Christophe Villien, Benoit Denis, Massih-Reza Amini
http://arxiv.org/abs/2105.07768v1

• [cs.LG]Self-supervised on Graphs: Contrastive, Generative,or Predictive
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li
http://arxiv.org/abs/2105.07342v1

• [cs.LG]Stochastic Control through Approximate Bayesian Input Inference
Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
http://arxiv.org/abs/2105.07693v1

• [cs.LG]TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning
Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang
http://arxiv.org/abs/2105.07944v1

• [cs.LG]Towards Synthetic Multivariate Time Series Generation for Flare Forecasting
Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
http://arxiv.org/abs/2105.07532v1

• [cs.LG]Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang
http://arxiv.org/abs/2105.08007v1

• [cs.LG]Understanding the Effect of Bias in Deep Anomaly Detection
Ziyu Ye, Yuxin Chen, Haitao Zheng
http://arxiv.org/abs/2105.07346v1

• [cs.LG]Undistillable: Making A Nasty Teacher That CANNOT teach students
Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
http://arxiv.org/abs/2105.07381v1

• [cs.LG]Universal Regular Conditional Distributions via Probability Measure-Valued Deep Neural Models
Anastasis Kratsios
http://arxiv.org/abs/2105.07743v1

• [cs.LG]Universality and Optimality of Structured Deep Kernel Networks
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
http://arxiv.org/abs/2105.07228v1

• [cs.LG]Verification of Image-based Neural Network Controllers Using Generative Models
Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer
http://arxiv.org/abs/2105.07091v1

• [cs.LG]XAI Method Properties: A (Meta-)study
Gesina Schwalbe, Bettina Finzel
http://arxiv.org/abs/2105.07190v1

• [cs.MA]How Can Robots Trust Each Other? A Relative Needs Entropy Based Trust Assessment Models
Qin Yang, Ramviyas Parasuraman
http://arxiv.org/abs/2105.07443v1

• [cs.MA]Mean Field Games Flock! The Reinforcement Learning Way
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
http://arxiv.org/abs/2105.07933v1

• [cs.MA]Offline Time-Independent Multi-Agent Path Planning
Keisuke Okumura, François Bonnet, Yasumasa Tamura, Xavier Défago
http://arxiv.org/abs/2105.07132v1

• [cs.MM]Analyzing Images for Music Recommendation
Anant Baijal, Vivek Agarwal, Danny Hyun
http://arxiv.org/abs/2105.07135v1

• [cs.NE]Behavior-based Neuroevolutionary Training in Reinforcement Learning
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
http://arxiv.org/abs/2105.07960v1

• [cs.NE]Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers
Daniel Tanneberg, Elmar Rueckert, Jan Peters
http://arxiv.org/abs/2105.07957v1

• [cs.NE]FOGA: Flag Optimization with Genetic Algorithm
Burak Tağtekin, Berkan Höke, Mert Kutay Sezer, Mahiye Uluyağmur Öztürk
http://arxiv.org/abs/2105.07202v1

• [cs.NI]Rescue Network: Using UAVs (drones) in Earthquake Crisis Management
Masoud Hayeri Khyavi
http://arxiv.org/abs/2105.07172v1

• [cs.NI]Traffic-Aware Service Relocation in Cloud-Oriented Elastic Optical Networks
Róża Goścień
http://arxiv.org/abs/2105.07653v1

• [cs.NI]fybrrStream: A WebRTC based Efficient and Scalable P2P Live Streaming Platform
Debajyoti Halder, Prashant Kumar, Saksham Bhushan, Anand M. Baswade
http://arxiv.org/abs/2105.07558v1

• [cs.RO]APPL: Adaptive Planner Parameter Learning
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
http://arxiv.org/abs/2105.07620v1

• [cs.RO]An Ergonomic Interaction Workspace Analysis Method for the Optimal Design of a Surgical Master Manipulator
Dandan Zhang, Jindong Liu, Guangzhong Yang
http://arxiv.org/abs/2105.07272v1

• [cs.RO]Collaborative Mapping of Archaeological Sites using multiple UAVs
Manthan Patel, Aditya Bandopadhyay, Aamir Ahmad
http://arxiv.org/abs/2105.07644v1

• [cs.RO]Development of Soft Tactile Sensor for Force Measurement and Position Detection
Wu-Te Yang, Zhian Kuang, Changhao Wang, Masayoshi Tomizuka
http://arxiv.org/abs/2105.07145v1

• [cs.RO]Distributed Resilient Submodular Action Selection in Adversarial Environments
Jun Liu, Lifeng Zhou, Pratap Tokekar, Ryan K. Williams
http://arxiv.org/abs/2105.07305v1

• [cs.RO]Explainable Hierarchical Imitation Learning for Robotic Drink Pouring
Dandan Zhang, Yu Zheng, Qiang Li, Lei Wei, Dongsheng Zhang, Zhengyou Zhang
http://arxiv.org/abs/2105.07348v1

• [cs.RO]Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems
Carl Folkestad, Joel W. Burdick
http://arxiv.org/abs/2105.08036v1

• [cs.RO]Make Bipedal Robots Learn How to Imitate
Vishal Kumar, Sinnu Susan Thomas
http://arxiv.org/abs/2105.07193v1

• [cs.RO]RoSmEEry: Robotic Simulated Environment for Evaluation and Benchmarking of Semantic Mapping Algorithms
Sara Kaszuba, Sandeep Reddy Sabbella, Vincenzo Suriani, Francesco Riccio, Daniele Nardi
http://arxiv.org/abs/2105.07938v1

• [cs.RO]Topology-optimization based design of multi-degree-of-freedom compliant mechanisms (mechanisms with multiple pseudo-mobility)
Stephanie Kirmse, Lucio Flavio Campanile, Alexander Hasse
http://arxiv.org/abs/2105.07894v1

• [cs.SD]Chord Recognition- Music and Audio Information Retrieval
Shah Riya Chiragkumar
http://arxiv.org/abs/2105.07019v1

• [cs.SD]Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
Hao Xue, Flora D. Salim
http://arxiv.org/abs/2105.07566v1

• [cs.SE]Deep Learning Models in Software Requirements Engineering
Maria Naumcheva
http://arxiv.org/abs/2105.07771v1

• [cs.SE]SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain
Sohil Lal Shrestha, Christoph Csallner
http://arxiv.org/abs/2105.07465v1

• [cs.SI]A Deep Metric Learning Approach to Account Linking
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
http://arxiv.org/abs/2105.07263v1

• [cs.SI]A Synchronized Action Framework for Responsible Detection of Coordination on Social Media
Thomas Magelinski, Lynnette Hui Xian Ng, Kathleen M. Carley
http://arxiv.org/abs/2105.07454v1

• [cs.SI]Characterizing the Interactions Between Classical and Community-aware Centrality Measures in Complex Networks
Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi
http://arxiv.org/abs/2105.07233v1

• [cs.SI]Face mask perception during the COVID-19 pandemic: an observational study of Russian online social network VKontakte
Alexander G. Chkhartishvili, Dmitry A. Gubanov, Ivan V. Kozitsin
http://arxiv.org/abs/2105.07397v1

• [cs.SI]Knowledge Value Stream Framework For Complex Product Design Decisions
Ramakrishnan Raman, Meenakshi D’Souza
http://arxiv.org/abs/2105.07444v1

• [cs.SI]The State of Infodemic on Twitter
Drishti Jain, Tavpritesh Sethi
http://arxiv.org/abs/2105.07730v1

• [econ.EM]Learning Financial Network with Focally Sparse Structure
Victor Chernozhukov, Chen Huang, Weining Wang
http://arxiv.org/abs/2105.07424v1

• [econ.EM]Using social network and semantic analysis to analyze online travel forums and forecast tourism demand
A Fronzetti Colladon, B Guardabascio, R Innarella
http://arxiv.org/abs/2105.07727v1

• [econ.GN]How Costly is Noise? Data and Disparities in Consumer Credit
Laura Blattner, Scott Nelson
http://arxiv.org/abs/2105.07554v1

• [eess.AS]Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi, Milind Rao, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Jasha Droppo
http://arxiv.org/abs/2105.07071v1

• [eess.IV]Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
http://arxiv.org/abs/org/abs/2105.07467v1

• [eess.IV]Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
http://arxiv.org/abs/2105.07467v1

• [eess.IV]DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation
Hritam Basak, Rukhshanda Hussain, Ajay Rana
http://arxiv.org/abs/2105.07962v1

• [eess.IV]Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara
http://arxiv.org/abs/2105.07540v1

• [eess.IV]Deep regression for uncertainty-aware and interpretable analysis of large-scale body MRI
Taro Langner, Robin Strand, Håkan Ahlström, Joel Kullberg
http://arxiv.org/abs/2105.07797v1

• [eess.IV]Dermoscopic Image Classification with Neural Style Transfer
Yutong Li, Ruoqing Zhu, Annie Qu, Mike Yeh
http://arxiv.org/abs/2105.07592v1

• [eess.IV]Fast and Accurate Camera Scene Detection on Smartphones
Angeline Pouget, Sidharth Ramesh, Maximilian Giang, Ramithan Chandrapalan, Toni Tanner, Moritz Prussing, Radu Timofte, Andrey Ignatov
http://arxiv.org/abs/2105.07869v1

• [eess.IV]Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
Wei Zhou, Zhou Wang, Zhibo Chen
http://arxiv.org/abs/2105.07139v1

• [eess.IV]Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
http://arxiv.org/abs/2105.07961v1

• [eess.IV]Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz
http://arxiv.org/abs/2105.07809v1

• [eess.IV]MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen
http://arxiv.org/abs/2105.07451v1

• [eess.IV]Multi-scale super-resolution generation of low-resolution scanned pathological images
Yanhua Gao, Ting Xie, Xun Wang, Qingqing Yang, Le Chen, Kai Sun, Youmin Guo, Gang Yu, Kuansong Wang
http://arxiv.org/abs/2105.07200v1

• [eess.IV]RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising
Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu
http://arxiv.org/abs/2105.07146v1

• [eess.IV]Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Andrew Lek, Mustafa Ayazoglu, Jie Liu, Zongcai Du, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan, Zexin Zhang, Yixin Chen, Yunbo Peng, Yue Lin, Xindong Zhang, Hui Zeng, Kun Zeng, Peirong Li, Zhihuang Liu, Shiqi Xue, Shengpeng Wang
http://arxiv.org/abs/2105.07825v1

• [eess.IV]SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation
Hajar Emami, Ming Dong, Siamak Nejad-Davarani, Carri Glide-Hurst
http://arxiv.org/abs/2105.07044v1

• [eess.IV]Unsupervised Deep Learning Methods for Biological Image Reconstruction
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
http://arxiv.org/abs/2105.08040v1

• [eess.IV]Unsupervised MMRegNet based on Spatially Encoded Gradient Information
Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang
http://arxiv.org/abs/2105.07392v1

• [eess.IV]Window-Level is a Strong Denoising Surrogate
Ayaan Haque, Adam Wang, Abdullah-Al-Zubaer Imran
http://arxiv.org/abs/2105.07153v1

• [eess.SP]An accelerated expectation-maximization for multi-reference alignment
Noam Janco, Tamir Bendory
http://arxiv.org/abs/2105.07372v1

• [eess.SY]Data-Driven Reachability Analysis from Noisy Data
Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson
http://arxiv.org/abs/2105.07229v1

• [eess.SY]Leveraging Classification Metrics for Quantitative System-Level Analysis with Temporal Logic Specifications
Apurva Badithela, Tichakorn Wongpiromsarn, Richard M. Murray
http://arxiv.org/abs/2105.07343v1

• [eess.SY]Probabilistic robust linear quadratic regulators with Gaussian processes
Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe
http://arxiv.org/abs/2105.07668v1

• [hep-ex]Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler
http://arxiv.org/abs/2105.07530v1

• [math.AG]The maximum likelihood degree of sparse polynomial systems
Julia Lindberg, Nathan Nicholson, Jose Israel Rodriguez, Zinan Wang
http://arxiv.org/abs/2105.07449v1

• [math.AT]Minimal Cycle Representatives in Persistent Homology using Linear Programming: an Empirical Study with User’s Guide
Lu Li, Connor Thompson, Gregory Henselman-Petrusek, Chad Giusti, Lori Ziegelmeier
http://arxiv.org/abs/2105.07025v1

• [math.CO]Connectivity of 1d random geometric graphs
Alexander P. Kartun-Giles, Kostas Koufos, Nicolas Privault
http://arxiv.org/abs/2105.07731v1

• [math.NA]Acceleration of the kernel herding algorithm by improved gradient approximation
Kazuma Tsuji, Ken’ichiro Tanaka
http://arxiv.org/abs/2105.07900v1

• [math.OC]Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
Jonathan Lacotte, Yifei Wang, Mert Pilanci
http://arxiv.org/abs/2105.07291v1

• [math.OC]Optimal control of robust team stochastic games
Feng Huang, Ming Cao, Long Wang
http://arxiv.org/abs/2105.07405v1

• [math.OC]Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems
Ting-Jui Chang, Shahin Shahrampour
http://arxiv.org/abs/2105.07310v1

• [math.OC]Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
Kun Yuan, Sulaiman A. Alghunaim
http://arxiv.org/abs/2105.08023v1

• [math.PR]Singularity for bifractional and trifractional Brownian motions based on their Hurst indices
B. L. S. Prakasa Rao
http://arxiv.org/abs/2105.07156v1

• [math.ST]Convergence guarantee for the sparse monotone single index model
Ran Dai, Hyebin Song, Rina Foygel Barber, Garvesh Raskutti
http://arxiv.org/abs/2105.07587v1

• [math.ST]Eigenvalue distribution of a high-dimensional distance covariance matrix with application
Weiming Li, Qinwen Wang, Jianfeng Yao
http://arxiv.org/abs/2105.07641v1

• [math.ST]General order adjusted Edgeworth expansions for generalized -tests
Inna Gerlovina, Alan E. Hubbard
http://arxiv.org/abs/2105.07406v1

• [math.ST]Nonparametric regression for locally stationary functional time series
Daisuke Kurisu
http://arxiv.org/abs/2105.07613v1

• [math.ST]On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
Jan Bohr, Richard Nickl
http://arxiv.org/abs/2105.07835v1

• [math.ST]Posterior contraction for deep Gaussian process priors
Gianluca Finocchio, Johannes Schmidt-Hieber
http://arxiv.org/abs/2105.07410v1

• [math.ST]Sparsity Likelihood for Sparse Signal and Change-point Detection
Shouri Hu, Jingyan Huang, Hao Chen, Hock Peng Chan
http://arxiv.org/abs/2105.07137v1

• [physics.comp-ph]Bayesian inference-driven model parameterization and model selection for 2CLJQ fluid models
Owen C. Madin, Simon Boothroyd, Richard A. Messerly, John D. Chodera, Josh Fass, Michael R. Shirts
http://arxiv.org/abs/2105.07863v1

• [physics.data-an]AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond
Maxim Ziatdinov, Ayana Ghosh, Tommy Wong, Sergei V. Kalinin
http://arxiv.org/abs/2105.07485v1

• [physics.flu-dyn]Inferring micro-bubble dynamics with physics-informed deep learning
Hanfeng Zhai, Guohui Hu
http://arxiv.org/abs/2105.07179v1

• [physics.soc-ph]Personality correlates of key roles in informal advice networks
E. Battistoni, A. Fronzetti Colladon
http://arxiv.org/abs/2105.07740v1

• [physics.soc-ph]Power-grid stability prediction using transferable machine learnings
Seong-Gyu Yang, Beom Jun Kim, Seung-Woo Son, Heetae Kim
http://arxiv.org/abs/2105.07562v1

• [physics.soc-ph]The effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions
Antonio F. Peralta, János Kertész, Gerardo Iñiguez
http://arxiv.org/abs/2105.07703v1

• [q-bio.BM]Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
Elodie Laine, Stephan Eismann, Arne Elofsson, Sergei Grudinin
http://arxiv.org/abs/2105.07407v1

• [q-bio.GN]Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet Khare, Rahee Walambe, Ketan Kotecha
http://arxiv.org/abs/2105.07659v1

• [q-bio.NC]A brain basis of dynamical intelligence for AI and computational neuroscience
Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang
http://arxiv.org/abs/2105.07284v1

• [q-bio.NC]Bayesian reconstruction of memories stored in neural networks from their connectivity
Sebastian Goldt, Florent Krzakala, Lenka Zdeborová, Nicolas Brunel
http://arxiv.org/abs/2105.07416v1

• [q-bio.NC]NeuroGen: activation optimized image synthesis for discovery neuroscience
Zijin Gu, Keith W. Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick Kay, Mert R. Sabuncu, Amy Kuceyeski
http://arxiv.org/abs/2105.07140v1

• [quant-ph]Cyberattacks on Quantum Networked Computation and Communications — Hacking the Superdense Coding Protocol on IBM’s Quantum Computers
Carlos Pedro Gonçalves
http://arxiv.org/abs/2105.07187v1

• [quant-ph]The equivalence between correctability of deletions and insertions of separable states in quantum codes
Taro Shibayama, Yingkai Ouyang
http://arxiv.org/abs/2105.07214v1

• [stat.AP]Are renewable energies on a sustained path? Analysis of selected case-studies from the pre-pandemic-era
Alessandro Bessi, Mariangela Guidolin, Piero Manfredi
http://arxiv.org/abs/2105.07834v1

• [stat.AP]Framing causal questions in life course epidemiology
Bianca De Stavola, Moritz Herle, Andrew Pickles
http://arxiv.org/abs/2105.07982v1

• [stat.AP]What makes you unique?
Benjamin B. Seiler, Masayoshi Mase, Art B. Owen
http://arxiv.org/abs/2105.08013v1

• [stat.ME]A Distribution Free Conditional Independence Test with Applications to Causal Discovery
Zhanrui Cai, Runze Li, Yaowu Zhang
http://arxiv.org/abs/2105.07555v1

• [stat.ME]A powerful test for differentially expressed gene pathways via graph-informed structural equation modeling
Jin Jin, Yue Wang
http://arxiv.org/abs/2105.07570v1

• [stat.ME]Bayesian inference under model misspecification using transport-Lagrangian distances: an application to seismic inversion
Andrea Scarinci, Michael Fehler, Youssef Marzouk
http://arxiv.org/abs/2105.07027v1

• [stat.ME]Collective anomaly detection in High-dimensional VAR Models
Hyeyoung Maeng, Idris Eckley, Paul Fearnhead
http://arxiv.org/abs/2105.07538v1

• [stat.ME]Disagreement Concerning Effect-Measure Modification
Jake Shannin, Babette A. Brumback
http://arxiv.org/abs/2105.07285v1

• [stat.ME]General Unbiased Estimating Equations for Variance Components in Linear Mixed Models
Tatsuya Kubokawa, Shonosuke Sugasawa, Hiromasa Tamae, Sanjay Chaudhuri
http://arxiv.org/abs/2105.07563v1

• [stat.ME]Group-wise shrinkage for multiclass Gaussian Graphical Models
Alessandro Casa, Andrea Cappozzo, Michael Fop
http://arxiv.org/abs/2105.07935v1

• [stat.ME]Reducing survivorship bias due to heterogeneity when comparing treated and controls with a different start of follow up
Rik van Eekelen, Patrick M. M. Bossuyt, Madelon van Wely, Nan van Geloven
http://arxiv.org/abs/2105.07685v1

• [stat.ME]Shrinkage-based random local clocks with scalable inference
Alexander A. Fisher, Xiang Ji, Akihiko Nishimura, Philippe Lemey, Marc A. Suchard
http://arxiv.org/abs/2105.07119v1

• [stat.ME]Spatial Statistics
Noel Cressie, Matthew T. Moores
http://arxiv.org/abs/2105.07216v1

• [stat.ME]Spatiotemporal wildfire modeling through point processes with moderate and extreme marks
Jonathan Koh, François Pimont, Jean-Luc Dupuy, Thomas Opitz
http://arxiv.org/abs/2105.08004v1

• [stat.ME]The Cluster Depth Tests: Toward Point-Wise Strong Control of the Family-Wise Error Rate in Massively Univariate Tests with Application to M/EEG
Jaromil Frossard, Olivier Renaud
http://arxiv.org/abs/2105.07514v1

• [stat.ME]Trimmed Match Design for Randomized Paired Geo Experiments
Aiyou Chen, Marco Longfils, Nicolas Remy
http://arxiv.org/abs/2105.07060v1

• [stat.ML]Calibrating sufficiently
Dirk Tasche
http://arxiv.org/abs/2105.07283v1

• [stat.ML]Classifying variety of customer’s online engagement for churn prediction with mixed-penalty logistic regression
Petra Posedel Šimović, Davor Horvatic, Edward W. Sun
http://arxiv.org/abs/2105.07671v1

• [stat.ML]Cross-Cluster Weighted Forests
Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani
http://arxiv.org/abs/2105.07610v1

• [stat.ML]Improving Graph Neural Networks with Simple Architecture Design
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
http://arxiv.org/abs/2105.07634v1

• [stat.ML]Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
Weipeng Huang, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
http://arxiv.org/abs/2105.06903v2

• [stat.ML]Sobolev Norm Learning Rates for Conditional Mean Embeddings
Prem Talwai, Ali Shameli, David Simchi-Levi
http://arxiv.org/abs/2105.07446v1

• [stat.ML]Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Yasuhiko Igarashi, Masato Okada
http://arxiv.org/abs/2105.07385v1

• [stat.ML]Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
http://arxiv.org/abs/2105.07536v1