今日学术视野(2021.6.30)

astro-ph.HE - 高能天体物理现象
astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PF - 计算性能
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.AG - 代数几何
math.AT - 代数拓扑
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.chem-ph -化学物理
physics.data-an - 数据分析、 统计和概率
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [astro-ph.HE]Systematic evaluation of variability detection methods for eROSITA
• [astro-ph.IM]The Deep Neural Network based Photometry Framework for Wide Field Small Aperture Telescopes
• [cs.AI]A Neural-symbolic Approach for Ontology-mediated Query Answering
• [cs.AI]Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
• [cs.AI]Explanatory Pluralism in Explainable AI
• [cs.AI]Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming
• [cs.AI]Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
• [cs.AI]Reasoning on with Defeasibility in ASP
• [cs.AR]HALF: Holistic Auto Machine Learning for FPGAs
• [cs.CL]A Closer Look at How Fine-tuning Changes BERT
• [cs.CL]A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models
• [cs.CL]A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
• [cs.CL]A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
• [cs.CL]Analyzing Research Trends in Inorganic Materials Literature Using NLP
• [cs.CL]Benchmarking Differential Privacy and Federated Learning for BERT Models
• [cs.CL]Current Landscape of the Russian Sentiment Corpora
• [cs.CL]Draw Me a Flower: Grounding Formal Abstract Structures Stated in Informal Natural Language
• [cs.CL]Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
• [cs.CL]Efficient Dialogue State Tracking by Masked Hierarchical Transformer
• [cs.CL]Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
• [cs.CL]Integrating topic modeling and word embedding to characterize violent deaths
• [cs.CL]KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
• [cs.CL]Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
• [cs.CL]PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
• [cs.CL]Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
• [cs.CL]Persian Rhetorical Structure Theory
• [cs.CL]Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
• [cs.CL]Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
• [cs.CL]RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
• [cs.CL]Rationale-Inspired Natural Language Explanations with Commonsense
• [cs.CL]Semantic Parsing Natural Language into Relational Algebra
• [cs.CL]Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts
• [cs.CL]UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
• [cs.CL]Visual Conceptual Blending with Large-scale Language and Vision Models
• [cs.CL]What’s in a Measurement? Using GPT-3 on SemEval 2021 Task 8 — MeasEval
• [cs.CL]Word2Box: Learning Word Representation Using Box Embeddings
• [cs.CL]XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
• [cs.CR]Capacity Analysis of Public Blockchain
• [cs.CR]Developing a cyber security culture: Current practices and future needs
• [cs.CR]Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments
• [cs.CR]Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
• [cs.CR]The Feasibility and Inevitability of Stealth Attacks
• [cs.CR]Training Massive Deep Neural Networks in a Smart Contract: A New Hope
• [cs.CR]Who is Responsible for Adversarial Defense?
• [cs.CV]3D Reconstruction through Fusion of Cross-View Images
• [cs.CV]A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
• [cs.CV]A Diffeomorphic Aging Model for Adult Human Brain from Cross-Sectional Data
• [cs.CV]A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval
• [cs.CV]A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning
• [cs.CV]A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
• [cs.CV]Adventurer’s Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs
• [cs.CV]An Image Classifier Can Suffice Video Understanding
• [cs.CV]Attention-guided Progressive Mapping for Profile Face Recognition
• [cs.CV]Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
• [cs.CV]Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
• [cs.CV]CAMS: Color-Aware Multi-Style Transfer
• [cs.CV]CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
• [cs.CV]Change Detection for Geodatabase Updating
• [cs.CV]Cheating Detection Pipeline for Online Interviews and Exams
• [cs.CV]Contrastive Counterfactual Visual Explanations With Overdetermination
• [cs.CV]DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation
• [cs.CV]Darker than Black-Box: Face Reconstruction from Similarity Queries
• [cs.CV]Dataset Bias Mitigation Through Analysis of CNN Training Scores
• [cs.CV]Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL
• [cs.CV]DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution
• [cs.CV]Descriptive Modeling of Textiles using FE Simulations and Deep Learning
• [cs.CV]Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
• [cs.CV]Domain Adaptive YOLO for One-Stage Cross-Domain Detection
• [cs.CV]Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification
• [cs.CV]EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
• [cs.CV]Early Convolutions Help Transformers See Better
• [cs.CV]Explicit Clothing Modeling for an Animatable Full-Body Avatar
• [cs.CV]Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
• [cs.CV]False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
• [cs.CV]Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
• [cs.CV]Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
• [cs.CV]Few-Shot Domain Expansion for Face Anti-Spoofing
• [cs.CV]Fractal Pyramid Networks
• [cs.CV]Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts
• [cs.CV]Geometric Processing for Image-based 3D Object Modeling
• [cs.CV]HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
• [cs.CV]Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
• [cs.CV]Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution
• [cs.CV]Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree Based Method
• [cs.CV]Image Classification with CondenseNeXt for ARM-Based Computing Platforms
• [cs.CV]Image content dependent semi-fragile watermarking with localized tamper detection
• [cs.CV]In-N-Out: Towards Good Initialization for Inpainting and Outpainting
• [cs.CV]Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
• [cs.CV]Interflow: Aggregating Multi-layer Feature Mappings with Attention Mechanism
• [cs.CV]Inverting and Understanding Object Detectors
• [cs.CV]Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
• [cs.CV]K-Net: Towards Unified Image Segmentation
• [cs.CV]Learning Mesh Representations via Binary Space Partitioning Tree Networks
• [cs.CV]Learning to solve geometric construction problems from images
• [cs.CV]Learning without Forgetting for 3D Point Cloud Objects
• [cs.CV]Making Images Real Again: A Comprehensive Survey on Deep Image Composition
• [cs.CV]Memory Guided Road Detection
• [cs.CV]Mining atmospheric data
• [cs.CV]Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
• [cs.CV]Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos
• [cs.CV]Multi-Compound Transformer for Accurate Biomedical Image Segmentation
• [cs.CV]Multimodal Few-Shot Learning with Frozen Language Models
• [cs.CV]OffRoadTranSeg: Semi-Supervis
1000
ed Segmentation using Transformers on OffRoad environments
• [cs.CV]One-Shot Affordance Detection
• [cs.CV]Post-Training Quantization for Vision Transformer
• [cs.CV]Prior-Induced Information Alignment for Image Matting
• [cs.CV]Privacy-Preserving Image Acquisition Using Trainable Optical Kernel
• [cs.CV]Progressive Class-based Expansion Learning For Image Classification
• [cs.CV]R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
• [cs.CV]Radar Voxel Fusion for 3D Object Detection
• [cs.CV]Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
• [cs.CV]Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
• [cs.CV]Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
• [cs.CV]Real-time 3D Object Detection using Feature Map Flow
• [cs.CV]Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition
• [cs.CV]Representation Based Regression for Object Distance Estimation
• [cs.CV]Rethinking Token-Mixing MLP for MLP-based Vision Backbone
• [cs.CV]Robust Pose Transfer with Dynamic Details using Neural Video Rendering
• [cs.CV]SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
• [cs.CV]Saying the Unseen: Video Descriptions via Dialog Agents
• [cs.CV]Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
• [cs.CV]Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images
• [cs.CV]Semi-Supervised Deep Ensembles for Blind Image Quality Assessment
• [cs.CV]Semi-Supervised Raw-to-Raw Mapping
• [cs.CV]Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
• [cs.CV]ShapeEditer: a StyleGAN Encoder for Face Swapping
• [cs.CV]Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification
• [cs.CV]The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
• [cs.CV]Unsupervised Discovery of Actions in Instructional Videos
• [cs.CV]VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
• [cs.CY]Adding Interactivity to Education of Complex Wireless Networks Using Digital Game-Based Learning
• [cs.CY]Building Bridges: Generative Artworks to Explore AI Ethics
• [cs.CY]Digital Divides and Online Media
• [cs.CY]From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
• [cs.CY]SARiSsa — A Mobile Application for the Proactive Control of SARS-CoV-2 Spread
• [cs.DB]Capturing the temporal constraints of gradual patterns
• [cs.DB]GSmart: An Efficient SPARQL Query Engine Using Sparse Matrix Algebra — Full Version
• [cs.DC]A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation
• [cs.DC]An Analysis of Multi-hop Iterative Approximate Byzantine Consensus with Local Communication
• [cs.DC]Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems
• [cs.DC]Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC
• [cs.DC]On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
• [cs.DC]Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments
• [cs.DC]RFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing
• [cs.DC]Revelio: ML-Generated Debugging Queries for Distributed Systems
• [cs.DS]Improved Approximation Algorithms for Individually Fair Clustering
• [cs.GT]Evolutionary Dynamics and -Regret Minimization in Games
• [cs.GT]Scalable Optimal Classifiers for Adversarial Settings under Uncertainty
• [cs.HC]Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech
• [cs.HC]Virtual Agents in Live Coding: A Short Review
• [cs.IR]A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
• [cs.IR]Detecting race and gender bias in visual representation of AI on web search engines
• [cs.IR]Improving Sequential Recommendation Consistency with Self-Supervised Imitation
• [cs.IR]Intent Disentanglement and Feature Self-supervision for Novel Recommendation
• [cs.IR]Keyphrase Generation for Scientific Document Retrieval
• [cs.IR]Sequential Recommendation with Graph Neural Networks
• [cs.IR]The DELICES project: Indexing scientific literature through semantic expansion
• [cs.IT]Channel Estimation and Signal Recovery for RIS-empowered Communications
• [cs.IT]Collaborative Edge Learning in MIMO-NOMA Uplink Transmission Environment
• [cs.IT]Efficient Maximum Likelihood Decoding of Polar Codes Over the Binary Erasure Channel
• [cs.IT]Hierarchical Online Convex Optimization with Application to Multi-TRP Cooperative Networks
• [cs.IT]On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers.zip
• [cs.IT]Online Cognitive Data Sensing and Processing Optimization in Energy-harvesting Edge Computing Systems
• [cs.IT]Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks
• [cs.IT]The Covering Radius of the Reed-Muller Code #card=math&code=RM%28m-4%2Cm%29&id=aaew6) in #card=math&code=RM%28m-3%2Cm%29&id=CdnXu)
• [cs.IT]Unified Simultaneous Wireless Information and Power Transfer for IoT: Signaling and Architecture with Deep Learning Adaptive Control
• [cs.LG]A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
• [cs.LG]AI based Presentation Creator With Customized Audio Content Delivery
• [cs.LG]ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
• [cs.LG]Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
• [cs.LG]AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
• [cs.LG]Autonomous Deep Quality Monitoring in Streaming Environments
• [cs.LG]Causal Reinforcement Learning using Observational and Interventional Data
• [cs.LG]Certified Robustness via Randomized Smoothing over Multiplicative Parameters
• [cs.LG]Closed-form Continuous-Depth Models
• [cs.LG]CoL: Contrastive Continual Learning
• [cs.LG]Complexity-based partitioning of CSFI problem instances with Transformers
• [cs.LG]Compositional Reinforcement Learning from Logical Specifications
• [cs.LG]Concentration of Contractive Stochastic Approximation and Reinforcement Learning
• [cs.LG]Contextual Inverse Optimization: Offline and Online Learning
• [cs.LG]Continual Learning via Inter-Task Synaptic Mapping
• [cs.LG]Core Challenges in Embodied Vision-Language Planning
• [cs.LG]DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
• [cs.LG]Data Poisoning Won’t Save You From Facial Recognition
• [cs.LG]Deep Learning Image Recognition for Non-images
• [cs.LG]Deep Learning for Technical Document Classification
• [cs.LG]Domain Adaptation Broad Learning System Based on Locally Linear Embedding
• [cs.LG]Domain Conditional Predictors for Domain Adaptation
• [cs.LG]Ensembling Shift Detectors: an Extensive Empirical Evaluation
• [cs.LG]Expert Q-learning: Deep Q-learning With State Values From Expert Examples
• [cs.LG]Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
• [cs.LG]FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity
• [cs.LG]Graph Convolutional Memory for Deep Reinforcement Learning
• [cs.LG]Habitat 2.0: Training Home Assistants to Rearrange their Habitat
• [cs.LG]High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
• [cs.LG]How many moments does MMD compare?
• [cs.LG]Hyperbolic Busemann Learning with Ideal Prototypes
• [cs.LG]Implicit Gradient Alignment in Distributed and Federated Learning
• [cs.LG]Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
• [cs.LG]Integrate-and-Fire Neurons for Low-Powered Pattern Recognition
• [cs.LG]Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
• [cs.LG]Ladder Polynomial Neural Networks
• [cs.LG]Laplace Redux — Effortless Bayesian Deep Learning
• [cs.LG]Last-iterate Convergence in Extensive-Form Games
• [cs.LG]Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
• [cs.LG]Machine Learning Detection Algorithm for Large Barkhausen Jumps in Cluttered Environment
• [cs.LG]Midpoint Regularization: from High Uncertainty Training to Conservative Classification
• [cs.LG]Model-Advantage Optimization for Model-Based Reinforcement Learning
• [cs.LG]Multi-task Over-the-Air Federated Learning: A Non-Orthogonal Transmission Approach
• [cs.LG]Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
• [cs.LG]Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
• [cs.LG]Nonparametric estimation of continuous DPPs with kernel methods
• [cs.LG]On a novel training algorithm for sequence-to-sequence predictive recurrent networks
• [cs.LG]PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
• [cs.LG]PhysiNet: A Combination of Physics-based Model and Neural Network Model for Digital Twins
• [cs.LG]Poisoning the Search Space in Neural Architecture Search
• [cs.LG]Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
• [cs.LG]R-Drop: Regularized Dropout for Neural Networks
• [cs.LG]Recurrently Predicting Hypergraphs
• [cs.LG]Reducing numerical precision preserves classification accuracy in Mondrian Forests
• [cs.LG]Regret Analysis in Deterministic Reinforcement Learning
• [cs.LG]Reward-Based 1-bit Compressed Federated Distillation on Blockchain
• [cs.LG]Robust Learning-Augmented Caching: An Experimental Study
• [cs.LG]Self-paced Principal Component Analysis
• [cs.LG]Solar Irradiation Forecasting using Genetic Algorithms
• [cs.LG]Stabilizing Equilibrium Models by Jacobian Regularization
• [cs.LG]SymbolicGPT: A Generative Transformer Model for Symbolic Regression
• [cs.LG]TENT: Tensorized Encoder Transformer for Temperature Forecasting
• [cs.LG]The Role of Contextual Information in Best Arm Identification
• [cs.LG]Time-Series Representation Learning via Temporal and Contextual Contrasting
• [cs.LG]Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
• [cs.LG]Understanding Dynamics of Nonlinear Representation Learning and Its Application
• [cs.LG]Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach
• [cs.LG]Unsupervised Skill Discovery with Bottleneck Option Learning
• [cs.LG]Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data
• [cs.MA]Dynamic Urban Planning: an Agent-Based Model Coupling Mobility Mode and Housing
4000
Choice. Use case Kendall Square
• [cs.NE]A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls
• [cs.NE]Designing color symmetry in stigmergic art
• [cs.NE]Quantum Dynamics Interpretation of Black-box Optimization
• [cs.NE]Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark
• [cs.NI]Implementation and Evaluation of Data Center Congestion Controller with Switch Assistance
• [cs.NI]Measuring close proximity interactions in summer camps during the COVID-19 pandemic
• [cs.NI]Quantum Computing for Artificial Intelligence Based Mobile Network Optimization
• [cs.PF]Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
• [cs.RO]Active Safety System for Semi-Autonomous Teleoperated Vehicles
• [cs.RO]Correspondenceless scan-to-map-scan matching of homoriented 2D scans for mobile robot localisation
• [cs.RO]Design of a user-friendly control system for planetary rovers with CPS feature
• [cs.RO]Discovering Generalizable Skills via Automated Generation of Diverse Tasks
• [cs.RO]If you trust me, I will trust you: the role of reciprocity in human-robot trust
• [cs.RO]Improving Grasp Planning Efficiency with Human Grasp Tendencies*
• [cs.RO]Instantaneous Capture Input for Balancing the Variable Height Inverted Pendulum
• [cs.RO]Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems
• [cs.RO]Optimized Wireless Control and Telemetry Network for Mobile Soccer Robots
• [cs.RO]Real-time Human-Robot Collaborative Manipulations of Cylindrical and Cubic Objects via Geometric Primitives and Depth Information
• [cs.RO]Rise of the Autonomous Machines
• [cs.RO]Single RGB-D Camera Teleoperation for General Robotic Manipulation
• [cs.RO]SwarmPaint: Human-Swarm Interaction for Trajectory Generation and Formation Control by DNN-based Gesture Interface
• [cs.RO]UAV-Based Search and Rescue in Avalanches using ARVA: An Extremum Seeking Approach
• [cs.RO]Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
• [cs.SD]Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits
• [cs.SE]Pairing Conceptual Modeling with Machine Learning
• [cs.SE]Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
• [cs.SI]Distributed Identification of C
1000
entral Nodes with Less Communication
• [cs.SI]Mapping flows on weighted and directed networks with incomplete observations
• [cs.SI]Mentorship Network Structure: How Relationships Emerge Online and What They Mean for Amateur Creators
• [eess.IV]A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images
• [eess.IV]A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
• [eess.IV]ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
• [eess.IV]An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ
• [eess.IV]Benchmarking convolutional neural networks for diagnosing Lyme disease from images
• [eess.IV]BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
• [eess.IV]Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
• [eess.IV]Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs
• [eess.IV]MTrans: Multi-Modal Transformer for Accelerated MR Imaging
• [eess.IV]Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
• [eess.IV]Residual Moment Loss for Medical Image Segmentation
• [eess.IV]Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images
• [eess.IV]Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
• [eess.IV]Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs
• [eess.SP]Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios
• [eess.SP]On Hyperspectral Unmixing
• [eess.SY]Armoured Fighting Vehicle Team Performance Prediction against Missile Attacks with Directed Energy Weapons
• [eess.SY]AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data
• [eess.SY]Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
• [math.AG]Two-point AG codes from the Beelen-Montanucci maximal curve
• [math.AT]Topos and Stacks of Deep Neural Networks
• [math.NA]Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs
• [math.NA]Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations
• [math.OC]Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
• [math.OC]Distributed algorithm for non-convex stochastic optimization with variance reduction
• [math.OC]Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
• [math.OC]The Convergence Rate of SGD’s Final Iterate: Analysis on Dimension Dependence
• [math.ST]A deep look into the Dagum family of isotropic covariance functions
• [math.ST]Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
• [math.ST]Bahadur efficiencies of the Epps—Pulley test for normality
• [math.ST]Bootstrapping the error of Oja’s Algorithm
• [math.ST]Change-Point Detection in Dynamic Networks with Missing Links
• [math.ST]New copulas and their applications to symmetrizations of bivariate copulas
• [math.ST]Optimal prediction of Markov chains with and without spectral gap
• [physics.chem-ph]LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction
• [physics.data-an]Use of Machine Learning Technique to maximize the signal over background for
• [physics.soc-ph]Clarifying How Degree Entropies and Degree-Degree Correlations Relate to Network Robustness
• [physics.soc-ph]Detecting anomalies in heterogeneous population-scale VAT networks
• [q-bio.BM]Disentangling semantic features of macromolecules in Cryo-Electron Tomography
• [quant-ph]Algorithmic Randomness and Kolmogorov Complexity for Qubits
• [quant-ph]Quantum Data Compression and Quantum Cross Entropy
• [stat.AP]Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times
• [stat.AP]Malaria Risk Mapping Using Routine Health System Incidence Data in Zambia
• [stat.AP]More on verification of probability forecasts for football outcomes: score decompositions, reliability, and discrimination analyses
• [stat.AP]On assessing excess mortality in Germany during the COVID-19 pandemic
• [stat.AP]Sparse Logistic Tensor Decomposition for Binary Data
• [stat.AP]Statistical Methods for the meta-analysis paper by Itzhaky et al
• [stat.AP]Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
• [stat.CO]BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R
• [stat.CO]Flexible Variational Bayes based on a Copula of a Mixture of Normals
• [stat.CO]Parmsurv: a SAS Macro for Flexible Parametric Survival Analysis with Long-Term Predictions
• [stat.ME]A Generalizability Score for Aggregate Causal Effect
• [stat.ME]A general, simple, robust method to account for measurement error when analyzing data with an internal validation subsample
• [stat.ME]An Approach to Causal Inference over Stochastic Networks
• [stat.ME]Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
• [stat.ME]Deep Learning Partial Least Squares
• [stat.ME]Extending the Patra-Sen Approach to Estimating the Background Component in a Two-Component Mixture Model
• [stat.ME]Hypothesis Testing for Two Sample Compari
5339
son of Network Data
• [stat.ME]On Graphical Models and Convex Geometry
• [stat.ME]Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
• [stat.ME]Parametric Analysis of Gumbel Type-II Distribution under Step-stress Life Test
• [stat.ME]The mbsts package: Multivariate Bayesian Structural Time Series Models in R
• [stat.ME]Universal inference with composite likelihoods
• [stat.ME]Using relative weight analysis with residualization to detect relevant nonlinear interaction effects in ordinary and logistic regressions
• [stat.ME]What to do if N is two?
• [stat.ML]Dynamic Planning and Learning under Recovering Rewards
• [stat.ML]Functional Classwise Principal Component Analysis: A Novel Classification Framework
• [stat.ML]Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
• [stat.ML]Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
• [stat.ML]Interpretable Network Representation Learning with Principal Component Analysis
• [stat.ML]Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
• [stat.ML]Score-Based Change Detection for Gradient-Based Learning Machines
• [stat.ML]Use of Variational Inference in Music Emotion Recognition
• [stat.ML]Variance Reduction for Matrix Computations with Applications to Gaussian Processes

·····································

• [astro-ph.HE]Systematic evaluation of variability detection methods for eROSITA
Johannes Buchner, Thomas Boller, David Bogensberger, Adam Malyali, Kirpal Nandra, Joern Wilms, Tom Dwelly, Teng Liu
http://arxiv.org/abs/2106.14529v1

• [astro-ph.IM]The Deep Neural Network based Photometry Framework for Wide Field Small Aperture Telescopes
Peng Jia, Yongyang Sun, Qiang Liu
http://arxiv.org/abs/2106.14349v1

• [cs.AI]A Neural-symbolic Approach for Ontology-mediated Query Answering
Medina Andresel, Csaba Domokos, Daria Stepanova, Trung-Kien Tran
http://arxiv.org/abs/2106.14052v1

• [cs.AI]Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Nader Zare, Bruno Brandoli, Mahtab Sarvmaili, Amilcar Soares, Stan Matwin
http://arxiv.org/abs/2106.14130v1

• [cs.AI]Explanatory Pluralism in Explainable AI
Yiheng Yao
http://arxiv.org/abs/2106.13976v1

• [cs.AI]Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming
Joaquín Arias, Manuel Carro, Zhuo Chen, Gopal Gupta
http://arxiv.org/abs/2106.14566v1

• [cs.AI]Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
Steven Schockaert
http://arxiv.org/abs/2106.14431v1

• [cs.AI]Reasoning on with Defeasibility in ASP
Loris Bozzato, Thomas Eiter, Luciano Serafini
http://arxiv.org/abs/2106.14801v1

• [cs.AR]HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney, Dominik Loroch, Vladimir Rybalkin, Nico Weber, Jens Krüger, Norbert Wehn
http://arxiv.org/abs/2106.14771v1

• [cs.CL]A Closer Look at How Fine-tuning Changes BERT
Yichu Zhou, Vivek Srikumar
http://arxiv.org/abs/2106.14282v1

• [cs.CL]A Knowledge-Grounded Dialog System Based on Pre-Trained Language Models
Weijie Zhang, Jiaoxuan Chen, Haipang Wu, Sanhui Wan, Gongfeng Li
http://arxiv.org/abs/2106.14444v1

• [cs.CL]A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
Fei Li, Zhichao Lin, Meishan Zhang, Donghong Ji
http://arxiv.org/abs/2106.14373v1

• [cs.CL]A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
Wang Chen, Piji Li, Irwin King
http://arxiv.org/abs/2106.13945v1

• [cs.CL]Analyzing Research Trends in Inorganic Materials Literature Using NLP
Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
http://arxiv.org/abs/2106.14157v1

• [cs.CL]Benchmarking Differential Privacy and Federated Learning for BERT Models
Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zumrut Muftuoglu, Sahib Singh, Fatemehsadat Mireshghallah
http://arxiv.org/abs/2106.13973v1

• [cs.CL]Current Landscape of the Russian Sentiment Corpora
Evgeny Kotelnikov
http://arxiv.org/abs/2106.14434v1

• [cs.CL]Draw Me a Flower: Grounding Formal Abstract Structures Stated in Informal Natural Language
Royi Lachmy, Valentina Pyatkin, Reut Tsarfaty
http://arxiv.org/abs/2106.14321v1

• [cs.CL]Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
Lianbo Ma, Huimin Ren, Xiliang Zhang
http://arxiv.org/abs/2106.14163v1

• [cs.CL]Efficient Dialogue State Tracking by Masked Hierarchical Transformer
Min Mao, Jiasheng Liu, Jingyao Zhou, Haipang Wu
http://arxiv.org/abs/2106.14433v1

• [cs.CL]Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Yilin Shen, Yen-Chang Hsu, Avik Ray, Hongxia Jin
http://arxiv.org/abs/2106.14464v1

• [cs.CL]Integrating topic modeling and word embedding to characterize violent deaths
Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster
http://arxiv.org/abs/2106.14365v1

• [cs.CL]KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
Mohammad Javad Saeedizade, Najmeh Torabian, Behrouz Minaei-Bidgoli
http://arxiv.org/abs/2106.14233v1

• [cs.CL]Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis, Martin Krallinger, Carlos Rodriguez-Penagos, Marta Villegas, Georgios Paliouras
http://arxiv.org/abs/2106.14618v1

• [cs.CL]PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
Romina Etezadi, Mehrnoush Shamsfard
http://arxiv.org/abs/2106.14167v1

• [cs.CL]Persian Causality Corpus (PerCause) and the Causality Detection Benchmark
Zeinab Rahimi, Mehrnoush ShamsFard
http://arxiv.org/abs/2106.14165v1

• [cs.CL]Persian Rhetorical Structure Theory
Sara Shahmohammadi, Hadi Veisi, Ali Darzi
http://arxiv.org/abs/2106.13833v1

• [cs.CL]Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach
Barea Sinno, Bernardo Oviedo, Katherine Atwell, Malihe Alikhani, Junyi Jessy Li
http://arxiv.org/abs/2106.14387v1

• [cs.CL]Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
http://arxiv.org/abs/2106.14574v1

• [cs.CL]RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
http://arxiv.org/abs/2106.14463v1

• [cs.CL]Rationale-Inspired Natural Language Explanations with Commonsense
Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian McAuley
http://arxiv.org/abs/2106.13876v1

• [cs.CL]Semantic Parsing Natural Language into Relational Algebra
Ruiyang Xu, Ayush Singh
http://arxiv.org/abs/2106.13858v1

• [cs.CL]Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts
Irina Fishcheva, Valeriya Goloviznina, Evgeny Kotelnikov
http://arxiv.org/abs/2106.14438v1

• [cs.CL]UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Kyomin Jung
http://arxiv.org/abs/2106.14019v1

• [cs.CL]Visual Conceptual Blending with Large-scale Language and Vision Models
Songwei Ge, Devi Parikh
http://arxiv.org/abs/2106.14127v1

• [cs.CL]What’s in a Measurement? Using GPT-3 on SemEval 2021 Task 8 — MeasEval
Curt Kohler, Ron Daniel Jr
http://arxiv.org/abs/2106.14720v1

• [cs.CL]Word2Box: Learning Word Representation Using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
http://arxiv.org/abs/2106.14361v1

• [cs.CL]XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar
http://arxiv.org/abs/2106.13822v1

• [cs.CR]Capacity Analysis of Public Blockchain
Xu Wang, Wei Ni, Xuan Zha, Guangsheng Yu, Ren Ping Liu, Nektarios Georgalas, Andrew Reeves
http://arxiv.org/abs/2106.14149v1

• [cs.CR]Developing a cyber security culture: Current practices and future needs
Betsy Uchendu, Jason R. C. Nurse, Maria Bada, Steven Furnell
http://arxiv.org/abs/2106.14701v1

• [cs.CR]Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments
Zainul Abi Din, Hari Venugopalan, Henry Lin, Adam Wushensky, Steven Liu, Samuel T. King
http://arxiv.org/abs/2106.14861v1

• [cs.CR]Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen, Ke Xu
http://arxiv.org/abs/2106.14707v1

• [cs.CR]The Feasibility and Inevitability of Stealth Attacks
Ivan Y. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban
http://arxiv.org/abs/2106.13997v1

• [cs.CR]Training Massive Deep Neural Networks in a Smart Contract: A New Hope
Yin Yang
http://arxiv.org/abs/2106.14763v1

• [cs.CR]Who is Responsible for Adversarial Defense?
Kishor Datta Gupta, Dipankar Dasgupta
http://arxiv.org/abs/2106.14152v1

• [cs.CV]3D Reconstruction through Fusion of Cross-View Images
Rongjun Qin, Shuang Song, Xiao Ling, Mostafa Elhashash
http://arxiv.org/abs/2106.14306v1

• [cs.CV]A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
Abdullah F. Al-Battal, Yan Gong, Lu Xu, Timothy Morton, Chen Du, Yifeng Bu 1, Imanuel R Lerman, Radhika Madhavan, Truong Q. Nguyen
http://arxiv.org/abs/2106.13849v1

• [cs.CV]A Diffeomorphic Aging Model for Adult Human Brain from Cross-Sectional Data
Alphin J Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
http://arxiv.org/abs/2106.14516v1

• [cs.CV]A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval
Zakariae Abbad, Ahmed Drissi El Maliani, Said Ouatik El Alaoui, Mohammed El Hassouni
http://arxiv.org/abs/2106.14060v1

• [cs.CV]A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning
Wen chao Zhang, Chong Fu, Xiang shi Chang, Teng fei Zhao, Xiang Li, Chiu-Wing Sham
http://arxiv.org/abs/2106.14475v1

• [cs.CV]A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven Hoi
http://arxiv.org/abs/2106.14749v1

• [cs.CV]Adventurer’s Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs
Daniel Reich, Felix Putze, Tanja Schultz
http://arxiv.org/abs/2106.14476v1

• [cs.CV]An Image Classifier Can Suffice Video Understanding
Quanfu Fan, Chun-Fu, Chen, Rameswar Panda
http://arxiv.org/abs/2106.14104v1

• [cs.CV]Attention-guided Progressive Mapping for Profile Face Recognition
Junyang Huang, Changxing Ding
http://arxiv.org/abs/2106.14124v1

• [cs.CV]Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang
http://arxiv.org/abs/2106.14336v1

• [cs.CV]Building a Video-and-Language Dataset with Human Actions for Multimodal Logical Inference
Riko Suzuki, Hitomi Yanaka, Koji Mineshima, Daisuke Bekki
http://arxiv.org/abs/2106.14137v1

• [cs.CV]CAMS: Color-Aware Multi-Style Transfer
Mahmoud Afifi, Abdullah Abuolaim, Mostafa Hussien, Marcus A. Brubaker, Michael S. Brown
http://arxiv.org/abs/2106.13920v1

• [cs.CV]CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
Kevin Frans, L. B. Soros, Olaf Witkowski
http://arxiv.org/abs/2106.14843v1

• [cs.CV]Change Detection for Geodatabase Updating
Rongjun Qin
http://arxiv.org/abs/2106.14309v1

• [cs.CV]Cheating Detection Pipeline for Online Interviews and Exams
Azmi Can Özgen, Mahiye Uluyağmur Öztürk, Umut Bayraktar
http://arxiv.org/abs/2106.14483v1

• [cs.CV]Contrastive Counterfactual Visual Explanations With Overdetermination
Adam White, Kwun Ho Ngan, James Phelan, Saman Sadeghi Afgeh, Kevin Ryan, Constantino Carlos Reyes-Aldasoro, Artur d’Avila Garcez
http://arxiv.org/abs/2106.14556v1

• [cs.CV]DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation
Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue
http://arxiv.org/abs/2106.14193v1

• [cs.CV]Darker than Black-Box: Face Reconstruction from Similarity Queries
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko
http://arxiv.org/abs/2106.14290v1

• [cs.CV]Dataset Bias Mitigation Through Analysis of CNN Training Scores
Ekberjan Derman
http://arxiv.org/abs/2106.14829v1

• [cs.CV]Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL
Roberto Fernandes, Walber M. Rodrigues, Edna Barros
http://arxiv.org/abs/2106.14597v1

• [cs.CV]DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution
Junru Gu, Qiao Sun, Hang Zhao
http://arxiv.org/abs/2106.14160v1

• [cs.CV]Descriptive Modeling of Textiles using FE Simulations and Deep Learning
Arturo Mendoza, Roger Trullo, Yanneck Wielhorski
http://arxiv.org/abs/2106.13982v1

• [cs.CV]Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang, Sheng Huang, Xi Peng, Dan Yang
http://arxiv.org/abs/2106.14467v1

• [cs.CV]Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing
http://arxiv.org/abs/2106.13939v1

• [cs.CV]Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification
Huafeng Li, Kaixiong Xu, Jinxing Li, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang
http://arxiv.org/abs/2106.13929v1

• [cs.CV]EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
Sumaiya Tabassum Nimi, Md Adnan Arefeen, Md Yusuf Sarwar Uddin, Yugyung Lee
http://arxiv.org/abs/2106.13842v1

• [cs.CV]Early Convolutions Help Transformers See Better
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross Girshick
http://arxiv.org/abs/2106.14881v1

• [cs.CV]Explicit Clothing Modeling for an Animatable Full-Body Avatar
Donglai Xiang, Fabian Andres Prada, Timur Bagautdinov, Weipeng Xu, Yuan Dong, He Wen, Jessica Hodgins, Chenglei Wu
http://arxiv.org/abs/2106.14879v1

• [cs.CV]Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
Vasiliki I. Vasileiou, Nikolaos Kardaris, Petros Maragos
http://arxiv.org/abs/2106.13967v1

• [cs.CV]False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
Kira Maag
http://arxiv.org/abs/2106.14474v1

• [cs.CV]Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
http://arxiv.org/abs/2106.14699v1

• [cs.CV]Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
Xin Zhou, Le Kang, Zhiyu Cheng, Bo He, Jingyu Xin
http://arxiv.org/abs/2106.14447v1

• [cs.CV]Few-Shot Domain Expansion for Face Anti-Spoofing
Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao
http://arxiv.org/abs/2106.14162v1

• [cs.CV]Fractal Pyramid Networks
Zhiqiang Deng, Huimin Yu, Yangqi Long
http://arxiv.org/abs/2106.14694v1

• [cs.CV]Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts
Nihar Bendre, Kevin Desai, Peyman Najafirad
http://arxiv.org/abs/2106.14082v1

• [cs.CV]Geometric Processing for Image-based 3D Object Modeling
Rongjun Qin, Xu Huang
http://arxiv.org/abs/2106.14307v1

• [cs.CV]HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
http://arxiv.org/abs/2106.14880v1

• [cs.CV]Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
Anurag Bagchi, Jazib Mahmood, Dolton Fernandes, Ravi Kiran Sarvadevabhatla
http://arxiv.org/abs/2106.14118v1

• [cs.CV]Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution
Yunsong Zhao, Yin Li, Zhihan Chen, Tianchong Qiu, Guojin Liu
http://arxiv.org/abs/2106.14804v1

• [cs.CV]Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree Based Method
Yue Lin, Nningchuan Xiao
http://arxiv.org/abs/2106.14049v1

• [cs.CV]Image Classification with CondenseNeXt for ARM-Based Computing Platforms
Priyank Kalgaonkar, Mohamed El-Sharkawy
http://arxiv.org/abs/2106.14102v1

• [cs.CV]Image content dependent semi-fragile watermarking with localized tamper detection
Samira Hosseini, Mojtaba Mahdavi
http://arxiv.org/abs/2106.14150v1

• [cs.CV]In-N-Out: Towards Good Initialization for Inpainting and Outpainting
Changho Jo, Woobin Im, Sung-Eui Yoon
http://arxiv.org/abs/2106.13953v1

• [cs.CV]Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
Cheng Sun, Chi-Wei Hsiao, Ning-Hsu Wang, Min Sun, Hwann-Tzong Chen
http://arxiv.org/abs/2106.14166v1

• [cs.CV]Interflow: Aggregating Multi-layer Feature Mappings with Attention Mechanism
Zhicheng Cai
http://arxiv.org/abs/2106.14073v1

• [cs.CV]Inverting and Understanding Object Detectors
Ang Cao, Justin Johnson
http://arxiv.org/abs/2106.13933v1

• [cs.CV]Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
Meiling Fang, Naser Damer, Fadi Boutros, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2106.14845v1

• [cs.CV]K-Net: Towards Unified Image Segmentation
Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy
http://arxiv.org/abs/2106.14855v1

• [cs.CV]Learning Mesh Representations via Binary Space Partitioning Tree Networks
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
http://arxiv.org/abs/2106.14274v1

• [cs.CV]Learning to solve geometric construction problems from images
J. Macke, J. Sedlar, M. Olsak, J. Urban, J. Sivic
http://arxiv.org/abs/2106.14195v1

• [cs.CV]Learning without Forgetting for 3D Point Cloud Objects
Townim Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman
http://arxiv.org/abs/2106.14275v1

• [cs.CV]Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zha
1a9
ng
http://arxiv.org/abs/2106.14490v1

• [cs.CV]Memory Guided Road Detection
Praveen Venkatesh, Rwik Rana, Varun Jain
http://arxiv.org/abs/2106.14184v1

• [cs.CV]Mining atmospheric data
Chaabane Djeraba, Jérôme Riedi
http://arxiv.org/abs/2106.13992v1

• [cs.CV]Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell, Wei Qi Yan
http://arxiv.org/abs/2106.14190v1

• [cs.CV]Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos
Guangming Wang, Honghao Zeng, Ziliang Wang, Zhe Liu, Hesheng Wang
http://arxiv.org/abs/2106.14706v1

• [cs.CV]Multi-Compound Transformer for Accurate Biomedical Image Segmentation
Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Lingyun Wu, Shaoting Zhang, Ping Luo
http://arxiv.org/abs/2106.14385v1

• [cs.CV]Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
http://arxiv.org/abs/2106.13884v1

• [cs.CV]OffRoadTranSeg: Semi-Supervis
1000
ed Segmentation using Transformers on OffRoad environments
Anukriti Singh, Kartikeya Singh, P. B. Sujit
http://arxiv.org/abs/2106.13963v1

• [cs.CV]One-Shot Affordance Detection
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao
http://arxiv.org/abs/2106.14747v1

• [cs.CV]Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
http://arxiv.org/abs/2106.14156v1

• [cs.CV]Prior-Induced Information Alignment for Image Matting
Yuhao Liu, Jiake Xie, Yu Qiao, Yong Tang and, Xin Yang
http://arxiv.org/abs/2106.14439v1

• [cs.CV]Privacy-Preserving Image Acquisition Using Trainable Optical Kernel
Yamin Sepehri, Pedram Pad, Pascal Frossard, L. Andrea Dunbar
http://arxiv.org/abs/2106.14577v1

• [cs.CV]Progressive Class-based Expansion Learning For Image Classification
Hui Wang, Hanbin Zhao, Xi Li
http://arxiv.org/abs/2106.14412v1

• [cs.CV]R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu Zou, Fang Lin, Songchen Han
http://arxiv.org/abs/2106.14501v1

• [cs.CV]Radar Voxel Fusion for 3D Object Detection
Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp
http://arxiv.org/abs/2106.14087v1

• [cs.CV]Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
http://arxiv.org/abs/2106.14366v1

• [cs.CV]Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
Manuel Palermo, Sara Moccia, Lucia Migliorelli, Emanuele Frontoni, Cristina P. Santos
http://arxiv.org/abs/2106.14739v1

• [cs.CV]Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
Simon Bultmann, Sven Behnke
http://arxiv.org/abs/2106.14729v1

• [cs.CV]Real-time 3D Object Detection using Feature Map Flow
Youshaa Murhij, Dmitry Yudin
http://arxiv.org/abs/2106.14101v1

• [cs.CV]Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition
Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa
http://arxiv.org/abs/2106.14459v1

• [cs.CV]Representation Based Regression for Object Distance Estimation
Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Moncef Gabbouj
http://arxiv.org/abs/2106.14208v1

• [cs.CV]Rethinking Token-Mixing MLP for MLP-based Vision Backbone
Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
http://arxiv.org/abs/2106.14882v1

• [cs.CV]Robust Pose Transfer with Dynamic Details using Neural Video Rendering
Yang-tian Sun, Hao-zhi Huang, Xuan Wang, Yu-kun Lai, Wei Liu, Lin Gao
http://arxiv.org/abs/2106.14132v1

• [cs.CV]SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow
Hitoshi Nishimura, Satoshi Komorita, Yasutomo Kawanishi, Hiroshi Murase
http://arxiv.org/abs/2106.14259v1

• [cs.CV]Saying the Unseen: Video Descriptions via Dialog Agents
Ye Zhu, Yu Wu, Yi Yang, Yan Yan
http://arxiv.org/abs/2106.14069v1

• [cs.CV]Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
Stephanie Tsuei, Aditya Golatkar, Stefano Soatto
http://arxiv.org/abs/2106.13870v1

• [cs.CV]Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images
Tiago Cortinhal, Fatih Kurnaz, Eren Aksoy
http://arxiv.org/abs/2106.13974v1

• [cs.CV]Semi-Supervised Deep Ensembles for Blind Image Quality Assessment
Zhihua Wang, Dingquan Li, Kede Ma
http://arxiv.org/abs/2106.14008v1

• [cs.CV]Semi-Supervised Raw-to-Raw Mapping
Mahmoud Afifi, Abdullah Abuolaim
http://arxiv.org/abs/2106.13883v1

• [cs.CV]Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia
http://arxiv.org/abs/2106.14133v1

• [cs.CV]ShapeEditer: a StyleGAN Encoder for Face Swapping
Shuai Yang, Kai Qiao
http://arxiv.org/abs/2106.13984v1

• [cs.CV]Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification
Di Wang, Bo Du, Liangpei Zhang
http://arxiv.org/abs/2106.13952v1

• [cs.CV]The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
Jun Bao, Buyu Liu, Jun Yu
http://arxiv.org/abs/2106.14183v1

• [cs.CV]Unsupervised Discovery of Actions in Instructional Videos
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa
http://arxiv.org/abs/2106.14733v1

• [cs.CV]VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
http://arxiv.org/abs/2106.14440v1

• [cs.CY]Adding Interactivity to Education of Complex Wireless Networks Using Digital Game-Based Learning
Seungmo Kim
http://arxiv.org/abs/2106.14737v1

• [cs.CY]Building Bridges: Generative Artworks to Explore AI Ethics
Ramya Srinivasan, Devi Parikh
http://arxiv.org/abs/2106.13901v1

• [cs.CY]Digital Divides and Online Media
Jukka Ruohonen, Anne-Marie Tuikka
http://arxiv.org/abs/2106.13932v1

• [cs.CY]From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
http://arxiv.org/abs/2106.14198v1

• [cs.CY]SARiSsa — A Mobile Application for the Proactive Control of SARS-CoV-2 Spread
Christos Chondros, Christos Georgiou-Mousses, Stavros D. Nikolopoulos, Iosif Polenakis, Vasileios Vouronikos
http://arxiv.org/abs/2106.14567v1

• [cs.DB]Capturing the temporal constraints of gradual patterns
Dickson Odhiambo Owuor
http://arxiv.org/abs/2106.14417v1

• [cs.DB]GSmart: An Efficient SPARQL Query Engine Using Sparse Matrix Algebra — Full Version
Yuedan Chen, M. Tamer Özsu, Guoqing Xiao, Zhuo Tang, Kenli Li
http://arxiv.org/abs/2106.14038v1

• [cs.DC]A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation
Joseph Huber, Weile Wei, Giorgis Georgakoudis, Johannes Doerfert, Oscar Hernandez
http://arxiv.org/abs/2106.14332v1

• [cs.DC]An Analysis of Multi-hop Iterative Approximate Byzantine Consensus with Local Communication
Matthew Ding
http://arxiv.org/abs/2106.14312v1

• [cs.DC]Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems
Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluc
http://arxiv.org/abs/2106.14402v1

• [cs.DC]Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC
Margaret Lawson, William Gropp, Jay Lofstead
http://arxiv.org/abs/2106.13972v1

• [cs.DC]On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
Seyed Morteza Nabavinejad, Behzad Salami
http://arxiv.org/abs/2106.14079v1

• [cs.DC]Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments
Alessio Netti, Michael Ott, Carla Guillen, Daniele Tafani, Martin Schulz
http://arxiv.org/abs/2106.14423v1

• [cs.DC]RFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing
Marcin Copik, Konstantin Taranov, Alexandru Calotoiu, Torsten Hoefler
http://arxiv.org/abs/2106.13859v1

• [cs.DC]Revelio: ML-Generated Debugging Queries for Distributed Systems
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
http://arxiv.org/abs/2106.14347v1

• [cs.DS]Improved Approximation Algorithms for Individually Fair Clustering
Ali Vakilian, Mustafa Yalçıner
http://arxiv.org/abs/2106.14043v1

• [cs.GT]Evolutionary Dynamics and -Regret Minimization in Games
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome Connor, Karl Tuyls
http://arxiv.org/abs/2106.14668v1

• [cs.GT]Scalable Optimal Classifiers for Adversarial Settings under Uncertainty
Patrick Loiseau, Benjamin Roussillon
http://arxiv.org/abs/2106.14702v1

• [cs.HC]Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech
Taras Kucherenko, Rajmund Nagy, Patrik Jonell, Michael Neff, Hedvig Kjellström, Gustav Eje Henter
http://arxiv.org/abs/2106.14736v1

• [cs.HC]Virtual Agents in Live Coding: A Short Review
Anna Xambó
http://arxiv.org/abs/2106.14835v1

• [cs.IR]A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
Jimmy Lin, Xueguang Ma
http://arxiv.org/abs/2106.14807v1

• [cs.IR]Detecting race and gender bias in visual representation of AI on web search engines
Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa
http://arxiv.org/abs/2106.14072v1

• [cs.IR]Improving Sequential Recommendation Consistency with Self-Supervised Imitation
Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding, Zhen He, Bo Long
http://arxiv.org/abs/2106.14031v1

• [cs.IR]Intent Disentanglement and Feature Self-supervision for Novel Recommendation
Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng
http://arxiv.org/abs/2106.14388v1

• [cs.IR]Keyphrase Generation for Scientific Document Retrieval
Florian Boudin, Ygor Gallina, Akiko Aizawa
http://arxiv.org/abs/2106.14726v1

• [cs.IR]Sequential Recommendation with Graph Neural Networks
Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li
http://arxiv.org/abs/2106.14226v1

• [cs.IR]The DELICES project: Indexing scientific literature through semantic expansion
Florian Boudin, Béatrice Daille, Evelyne Jacquey, Jian-Yun Nie
http://arxiv.org/abs/2106.14731v1

• [cs.IT]Channel Estimation and Signal Recovery for RIS-empowered Communications
Li Wei, Chongwen Huang, Qinghua Guo, Zhaohui Yang, Zhaoyang Zhang, Chau Yuen, Merouane Debbah
http://arxiv.org/abs/2106.14391v1

• [cs.IT]Collaborative Edge Learning in MIMO-NOMA Uplink Transmission Environment
Mian Guo, Chun Shan, Mithun Mukherjee, Jaime Lloret, Quansheng Guan
http://arxiv.org/abs/2106.14356v1

• [cs.IT]Efficient Maximum Likelihood Decoding of Polar Codes Over the Binary Erasure Channel
Yonatan Urman, David Burshtein
http://arxiv.org/abs/2106.14753v1

• [cs.IT]Hierarchical Online Convex Optimization with Application to Multi-TRP Cooperative Networks
Juncheng Wang, Ben Liang, Min Dong, Gary Boudreau, Hatem Abou-zeid
http://arxiv.org/abs/2106.13853v1

• [cs.IT]On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers.zip
Matteo Allaix, Seunghoan Song, Lukas Holzbaur, Tefjol Pllaha, Masahito Hayashi, Camilla Hollanti
http://arxiv.org/abs/2106.14719v1

• [cs.IT]Online Cognitive Data Sensing and Processing Optimization in Energy-harvesting Edge Computing Systems
Xian Li, Suzhi Bi, Zhi Quan, Hui Wang
http://arxiv.org/abs/2106.14113v1

• [cs.IT]Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks
Xuewen Wu, Jingxiao Ma, Chenwei Gu, Xiaoping Xue, Xin Zeng
http://arxiv.org/abs/2106.14227v1

• [cs.IT]The Covering Radius of the Reed-Muller Code #card=math&code=RM%28m-4%2Cm%29&id=qUoYa) in #card=math&code=RM%28m-3%2Cm%29&id=RU3Eh)
Randall Dougherty, R. Daniel Mauldin, Mark Tiefenbruck
http://arxiv.org/abs/2106.13910v1

• [cs.IT]Unified Simultaneous Wireless Information and Power Transfer for IoT: Signaling and Architecture with Deep Learning Adaptive Control
Jong Jin Park, Jong Ho Moon, Hyeon Ho Jang, Dong In Kim
http://arxiv.org/abs/2106.13937v1

• [cs.LG]A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
Fatemeh Azimi, Federico Raue, Joern Hees, Andreas Dengel
http://arxiv.org/abs/2106.14295v1

• [cs.LG]AI based Presentation Creator With Customized Audio Content Delivery
Muvazima Mansoor, Srikanth Chandar, Ramamoorthy Srinath
http://arxiv.org/abs/2106.14213v1

• [cs.LG]ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense
Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred Hero
http://arxiv.org/abs/2106.14300v1

• [cs.LG]Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
Zhiqiang Que, Erwei Wang, Umar Marikar, Eric Moreno, Jennifer Ngadiuba, Hamza Javed, Bartłomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y Cheung, Wayne Luk
http://arxiv.org/abs/2106.14089v1

• [cs.LG]AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
Guangmeng Zhou, Ke Xu, Qi Li, Yang Liu, Yi Zhao
http://arxiv.org/abs/2106.14126v1

• [cs.LG]Autonomous Deep Quality Monitoring in Streaming Environments
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Yapp Kien Yee
http://arxiv.org/abs/2106.13955v1

• [cs.LG]Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse, Damien Grasset, Guillaume Gaudron, Pierre-Yves Oudeyer
http://arxiv.org/abs/2106.14421v1

• [cs.LG]Certified Robustness via Randomized Smoothing over Multiplicative Parameters
Nikita Muravev, Aleksandr Petiushko
http://arxiv.org/abs/2106.14432v1

• [cs.LG]Closed-form Continuous-Depth Models
Ramin Hasani, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus
http://arxiv.org/abs/2106.13898v1

• [cs.LG]CoL: Contrastive Continual Learning
Hyuntak Cha, Jaeho Lee, Jinwoo Shin
http://arxiv.org/abs/2106.14413v1

• [cs.LG]Complexity-based partitioning of CSFI problem instances with Transformers
Luca Benedetto, Paolo Fantozzi, Luigi Laura
http://arxiv.org/abs/2106.14481v1

• [cs.LG]Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan, Suguman Bansal, Osbert Bastani, Rajeev Alur
http://arxiv.org/abs/2106.13906v1

• [cs.LG]Concentration of Contractive Stochastic Approximation and Reinforcement Learning
Siddharth Chandak, Vivek S. Borkar
http://arxiv.org/abs/2106.14308v1

• [cs.LG]Contextual Inverse Optimization: Offline and Online Learning
Omar Besbes, Yuri Fonseca, Ilan Lobel
http://arxiv.org/abs/2106.14015v1

• [cs.LG]Continual Learning via Inter-Task Synaptic Mapping
Mao Fubing, Weng Weiwei, Mahardhika Pratama, Edward Yapp Kien Yee
http://arxiv.org/abs/2106.13954v1

• [cs.LG]Core Challenges in Embodied Vision-Language Planning
Jonathan Francis, Nariaki Kitamura, Felix Labelle, Xiaopeng Lu, Ingrid Navarro, Jean Oh
http://arxiv.org/abs/2106.13948v1

• [cs.LG]DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
Mufei Li, Jinjing Zhou, Jiajing Hu, Wenxuan Fan, Yangkang Zhang, Yaxin Gu, George Karypis
http://arxiv.org/abs/2106.14232v1

• [cs.LG]Data Poisoning Won’t Save You From Facial Recognition
Evani Radiya-Dixit, Florian Tramèr
http://arxiv.org/abs/2106.14851v1

• [cs.LG]Deep Learning Image Recognition for Non-images
Boris Kovalerchuk, Divya Chandrika Kalla, Bedant Agarwal
http://arxiv.org/abs/2106.14350v1

• [cs.LG]Deep Learning for Technical Document Classification
Shuo Jiang, Jianxi Luo, Jie Hu, Christopher L. Magee
http://arxiv.org/abs/2106.14269v1

• [cs.LG]Domain Adaptation Broad Learning System Based on Locally Linear Embedding
Chao Yuan, Chang-E Ren
http://arxiv.org/abs/2106.14367v1

• [cs.LG]Domain Conditional Predictors for Domain Adaptation
Joao Monteiro, Xavier Gibert, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
http://arxiv.org/abs/2106.13899v1

• [cs.LG]Ensembling Shift Detectors: an Extensive Empirical Evaluation
Simona Maggio, Léo Dreyfus-Schmidt
http://arxiv.org/abs/2106.14608v1

• [cs.LG]Expert Q-learning: Deep Q-learning With State Values From Expert Examples
Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
http://arxiv.org/abs/2106.14642v1

• [cs.LG]Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
Gilad Gressel, Niranjan Hegde, Archana Sreekumar, Michael Darling
http://arxiv.org/abs/2106.14815v1

• [cs.LG]FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
http://arxiv.org/abs/2106.14568v1

• [cs.LG]Graph Convolutional Memory for Deep Reinforcement Learning
Steven D. Morad, Stephan Liwicki, Amanda Prorok
http://arxiv.org/abs/2106.14117v1

• [cs.LG]Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
http://arxiv.org/abs/2106.14405v1

• [cs.LG]High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky, Harsh Mehta
http://arxiv.org/abs/2106.14343v1

• [cs.LG]How many moments does MMD compare?
Rustem Takhanov
http://arxiv.org/abs/2106.14277v1

• [cs.LG]Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh, Martin Keller-Ressel, Pascal Mettes
http://arxiv.org/abs/2106.14472v1

• [cs.LG]Implicit Gradient Alignment in Distributed and Federated Learning
Yatin Dandi, Luis Barba, Martin Jaggi
http://arxiv.org/abs/2106.13897v1

• [cs.LG]Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
Matthew Barren, Milos Hauskrecht
http://arxiv.org/abs/2106.14838v1

• [cs.LG]Integrate-and-Fire Neurons for Low-Powered Pattern Recognition
Florian Bacho, Dominique Chu
http://arxiv.org/abs/2106.14596v1

• [cs.LG]Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li
http://arxiv.org/abs/2106.13970v1

• [cs.LG]Ladder Polynomial Neural Networks
Li-Ping Liu, Ruiyuan Gu, Xiaozhe Hu
http://arxiv.org/abs/2106.13834v1

• [cs.LG]Laplace Redux — Effortless Bayesian Deep Learning
Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig
http://arxiv.org/abs/2106.14806v1

• [cs.LG]Last-iterate Convergence in Extensive-Form Games
Chung-Wei Lee, Christian Kroer, Haipeng Luo
http://arxiv.org/abs/2106.14326v1

• [cs.LG]Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar
http://arxiv.org/abs/2106.13914v1

• [cs.LG]Machine Learning Detection Algorithm for Large Barkhausen Jumps in Cluttered Environment
Roger Alimi, Amir Ivry, Elad Fisher, Eyal Weiss
http://arxiv.org/abs/2106.14148v1

• [cs.LG]Midpoint Regularization: from High Uncertainty Training to Conservative Classification
Hongyu Guo
http://arxiv.org/abs/2106.13913v1

• [cs.LG]Model-Advantage Optimization for Model-Based Reinforcement Learning
Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan
http://arxiv.org/abs/2106.14080v1

• [cs.LG]Multi-task Over-the-Air Federated Learning: A Non-Orthogonal Transmission Approach
Haoming Ma, Xiaojun Yuan, Dian Fan, Zhi Ding, Xin Wang
http://arxiv.org/abs/2106.14229v1

• [cs.LG]Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
Ingmar Kanitscheider, Joost Huizinga, David Farhi, William Hebgen Guss, Brandon Houghton, Raul Sampedro, Peter Zhokhov, Bowen Baker, Adrien Ecoffet, Jie Tang, Oleg Klimov, Jeff Clune
http://arxiv.org/abs/2106.14876v1

• [cs.LG]Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Jun Zhuang, Mohammad Al Hasan
http://arxiv.org/abs/2106.14344v1

• [cs.LG]Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel, Rémi Bardenet
http://arxiv.org/abs/2106.14210v1

• [cs.LG]On a novel training algorithm for sequence-to-sequence predictive recurrent networks
Boris Rubinstein
http://arxiv.org/abs/2106.14120v1

• [cs.LG]PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren, Chengping Rao, Yang Liu, Jianxun Wang, Hao Sun
http://arxiv.org/abs/2106.14103v1

• [cs.LG]PhysiNet: A Combination of Physics-based Model and Neural Network Model for Digital Twins
Chao Sun, Victor Guang Shi
http://arxiv.org/abs/2106.14790v1

• [cs.LG]Poisoning the Search Space in Neural Architecture Search
Robert Wu, Nayan Saxena, Rohan Jain
http://arxiv.org/abs/2106.14406v1

• [cs.LG]Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle, Simon M. Lucas
http://arxiv.org/abs/2106.13911v1

• [cs.LG]R-Drop: Regularized Dropout for Neural Networks
Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
http://arxiv.org/abs/2106.14448v1

• [cs.LG]Recurrently Predicting Hypergraphs
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
http://arxiv.org/abs/2106.13919v1

• [cs.LG]Reducing numerical precision preserves classification accuracy in Mondrian Forests
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
http://arxiv.org/abs/2106.14340v1

• [cs.LG]Regret Analysis in Deterministic Reinforcement Learning
Damianos Tranos, Alexandre Proutiere
http://arxiv.org/abs/2106.14338v1

• [cs.LG]Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek
http://arxiv.org/abs/2106.14265v1

• [cs.LG]Robust Learning-Augmented Caching: An Experimental Study
Jakub Chłędowski, Adam Polak, Bartosz Szabucki, Konrad Zolna
http://arxiv.org/abs/2106.14693v1

• [cs.LG]Self-paced Principal Component Analysis
Zhao Kang, Hongfei Liu, Jiangxin Li, Xiaofeng Zhu, Ling Tian
http://arxiv.org/abs/2106.13880v1

• [cs.LG]Solar Irradiation Forecasting using Genetic Algorithms
V. Gunasekaran, K. K. Kovi, S. Arja, R. Chimata
http://arxiv.org/abs/2106.13956v1

• [cs.LG]Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
http://arxiv.org/abs/2106.14342v1

• [cs.LG]SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Mojtaba Valipour, Bowen You, Maysum Panju, Ali Ghodsi
http://arxiv.org/abs/2106.14131v1

• [cs.LG]TENT: Tensorized Encoder Transformer for Temperature Forecasting
Onur Bilgin, Paweł Mąka, Thomas Vergutz, Siamak Mehrkanoon
http://arxiv.org/abs/2106.14742v1

• [cs.LG]The Role of Contextual Information in Best Arm Identification
Masahiro Kato, Kaito Ariu
http://arxiv.org/abs/2106.14077v1

• [cs.LG]Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
http://arxiv.org/abs/2106.14112v1

• [cs.LG]Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
Sana Rahmani, Saeid Hosseini, Raziyeh Zall, Mohammad Reza Kangavari, Sara Kamran, Wen Hua
http://arxiv.org/abs/2106.14174v1

• [cs.LG]Understanding Dynamics of Nonlinear Representation Learning and Its Application
Kenji Kawaguchi, Linjun Zhang, Zhun Deng
http://arxiv.org/abs/2106.14836v1

• [cs.LG]Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach
Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
http://arxiv.org/abs/2106.14563v1

• [cs.LG]Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim, Seohong Park, Gunhee Kim
http://arxiv.org/abs/2106.14305v1

• [cs.LG]Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data
Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi, Srikanth Chandar
http://arxiv.org/abs/2106.14503v1

• [cs.MA]Dynamic Urban Planning: an Agent-Based Model Coupling Mobility Mode and Housing
4000
Choice. Use case Kendall Square
Mireia Yurrita, Arnaud Grignard, Luis Alonso, Yan Zhang, Cristian Jara-Figueroa, Markus Elkatsha, Kent Larson
http://arxiv.org/abs/2106.14572v1

• [cs.NE]A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls
Patrick Kenekayoro
http://arxiv.org/abs/2106.14487v1

• [cs.NE]Designing color symmetry in stigmergic art
Hendrik Richter
http://arxiv.org/abs/2106.14773v1

• [cs.NE]Quantum Dynamics Interpretation of Black-box Optimization
Peng Wang, Gang Xin, Yuwei Jiao
http://arxiv.org/abs/2106.13927v1

• [cs.NE]Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark
Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna
http://arxiv.org/abs/2106.14007v1

• [cs.NI]Implementation and Evaluation of Data Center Congestion Controller with Switch Assistance
Ahmed M. Abdelmoniem, Brahim Bensaou
http://arxiv.org/abs/2106.14100v1

• [cs.NI]Measuring close proximity interactions in summer camps during the COVID-19 pandemic
E. Leoni, G. Cencetti, G. Santin, T. Istomin, D. Molteni, G. P. Picco, E. Farella, B. Lepri, A. M. Murphy
http://arxiv.org/abs/2106.1475
1000
0v1
1000
0v1)

• [cs.NI]Quantum Computing for Artificial Intelligence Based Mobile Network Optimization
Furqan Ahmed, Petri Mähönen
http://arxiv.org/abs/2106.13917v1

• [cs.PF]Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN
Ziwei Wang, Martin A. Trefzer, Simon J. Bale, Andy M. Tyrrell
http://arxiv.org/abs/2106.14776v1

• [cs.RO]Active Safety System for Semi-Autonomous Teleoperated Vehicles
Smit Saparia, Andreas Schimpe, Laura Ferranti
http://arxiv.org/abs/2106.14554v1

• [cs.RO]Correspondenceless scan-to-map-scan matching of homoriented 2D scans for mobile robot localisation
Alexandros Filotheou
http://arxiv.org/abs/2106.14003v1

• [cs.RO]Design of a user-friendly control system for planetary rovers with CPS feature
Sebastiano Chiodini, Riccardo Giubilato, Marco Pertile, Annarita Tedesco, Domenico Accardo, Stefano Debei
http://arxiv.org/abs/2106.14507v1

• [cs.RO]Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
http://arxiv.org/abs/2106.13935v1

• [cs.RO]If you trust me, I will trust you: the role of reciprocity in human-robot trust
Joshua Zonca, Anna Folso, Alessandra Sciutti
http://arxiv.org/abs/2106.14832v1

• [cs.RO]Improving Grasp Planning Efficiency with Human Grasp Tendencies*
Chang Cheng, Yadong Yan, Mingjun Guan, Jianan Zhang, Yu Wang
http://arxiv.org/abs/2106.14158v1

• [cs.RO]Instantaneous Capture Input for Balancing the Variable Height Inverted Pendulum
Junwei Liu, Hua Chen, Patrick M. Wensing, Wei Zhang
http://arxiv.org/abs/2106.14741v1

• [cs.RO]Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems
Yulun Tian, Yun Chang, Fernando Herrera Arias, Carlos Nieto-Granda, Jonathan P. How, Luca Carlone
http://arxiv.org/abs/2106.14386v1

• [cs.RO]Optimized Wireless Control and Telemetry Network for Mobile Soccer Robots
Lucas Cavalcanti, Riei Joaquim, Edna Barros
http://arxiv.org/abs/2106.14617v1

• [cs.RO]Real-time Human-Robot Collaborative Manipulations of Cylindrical and Cubic Objects via Geometric Primitives and Depth Information
Huixu Dong, Jiadong Zhou, Haoyong Yu
http://arxiv.org/abs/2106.14461v1

• [cs.RO]Rise of the Autonomous Machines
Shaoshan Liu, Jean-Luc Gaudiot
http://arxiv.org/abs/2106.13987v1

• [cs.RO]Single RGB-D Camera Teleoperation for General Robotic Manipulation
Quan Vuong, Yuzhe Qin, Runlin Guo, Xiaolong Wang, Hao Su, Henrik Christensen
http://arxiv.org/abs/2106.14396v1

• [cs.RO]SwarmPaint: Human-Swarm Interaction for Trajectory Generation and Formation Control by DNN-based Gesture Interface
Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev, Stepan Perminov, Dzmitry Tsetserukou
http://arxiv.org/abs/2106.14698v1

• [cs.RO]UAV-Based Search and Rescue in Avalanches using ARVA: An Extremum Seeking Approach
Ilario Antonio Azzollini, Nicola Mimmo, Lorenzo Gentilini, Lorenzo Marconi
http://arxiv.org/abs/2106.14514v1

• [cs.RO]Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
Andrew S. Morgan, Bowen Wen, Junchi Liang, Abdeslam Boularias, Aaron M. Dollar, Kostas Bekris
http://arxiv.org/abs/2106.14070v1

• [cs.SD]Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits
Qingjian Lin, Lin Yang, Xuyang Wang, Luyuan Xie, Chen Jia, Junjie Wang
http://arxiv.org/abs/2106.14371v1

• [cs.SE]Pairing Conceptual Modeling with Machine Learning
Wolfgang Maass, Veda C. Storey
http://arxiv.org/abs/2106.14251v1

• [cs.SE]Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
Jingxuan Li, Rui Huang, Wei Li, Kai Yao, Weiguo Tan
http://arxiv.org/abs/2106.13928v1

• [cs.SI]Distributed Identification of C
1000
entral Nodes with Less Communication
Jordan F. Masakuna, Steve Kroon
http://arxiv.org/abs/2106.14011v1

• [cs.SI]Mapping flows on weighted and directed networks with incomplete observations
Jelena Smiljanić, Christopher Blöcker, Daniel Edler, Martin Rosvall
http://arxiv.org/abs/2106.14798v1

• [cs.SI]Mentorship Network Structure: How Relationships Emerge Online and What They Mean for Amateur Creators
Ruby Davis, Jenna Frens, Niharika Sharma, Meena Devii Muralikumar, Cecilia Aragon, Sarah Evans
http://arxiv.org/abs/2106.14111v1

• [eess.IV]A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images
Weijun Tan, Jingfeng Liu
http://arxiv.org/abs/2106.14403v1

• [eess.IV]A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Md Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik
http://arxiv.org/abs/2106.14207v1

• [eess.IV]ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He
http://arxiv.org/abs/2106.14591v1

• [eess.IV]An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ
Michele La Ferla, Matthew Montebello, Dylan Seychell
http://arxiv.org/abs/2106.14186v1

• [eess.IV]Benchmarking convolutional neural networks for diagnosing Lyme disease from images
Sk Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan, Delphine Martineau, Evelina Petrosyan, Violaine Corbain, Jean Beytout, Isabelle Lebert, Elisabeth Baux, Céline Cazorla, Carole Eldin, Yves Hansmann, Solene Patrat-Delon, Thierry Prazuck, Alice Raffetin, Pierre Tattevin, Gwenaël Vourc’H, Olivier Lesens, Engelbert Nguifo
http://arxiv.org/abs/2106.14465v1

• [eess.IV]BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
http://arxiv.org/abs/g/abs/2106.14033v1

• [eess.IV]Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
Rohit Kumar Jain, Prasen Kumar Sharma, Sibaji Gaj, Arijit Sur, Palash Ghosh
http://arxiv.org/abs/2106.14292v1

• [eess.IV]Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
http://arxiv.org/abs/2106.14324v1

• [eess.IV]MTrans: Multi-Modal Transformer for Accelerated MR Imaging
Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao
http://arxiv.org/abs/2106.14248v1

• [eess.IV]Progressive Joint Low-light Enhancement and Noise Removal for Raw Images
Yucheng Lu, Seung-Won Jung
http://arxiv.org/abs/2106.14844v1

• [eess.IV]Residual Moment Loss for Medical Image Segmentation
Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng
http://arxiv.org/abs/2106.14178v1

• [eess.IV]Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images
Juan E. Arco, Andrés Ortiz, Javier Ramírez, Juan M Gorriz
http://arxiv.org/abs/2106.14724v1

• [eess.IV]Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
Boing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen
http://arxiv.org/abs/2106.14256v1

• [eess.IV]Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs
Peter Bokor, Lukas Hudec, Ondrej Fabian, Wanda Benesova
http://arxiv.org/abs/2106.14708v1

• [eess.SP]Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios
Ahmad Amer, Fotis Kopsaftopoulos
http://arxiv.org/abs/2106.14841v1

• [eess.SP]On Hyperspectral Unmixing
Wing-Kin Ma
http://arxiv.org/abs/2106.14177v1

• [eess.SY]Armoured Fighting Vehicle Team Performance Prediction against Missile Attacks with Directed Energy Weapons
Graham V. Weinberg, Mitchell Kracman
http://arxiv.org/abs/2106.14381v1

• [eess.SY]AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data
Francisco Barreras, Mikhail Hayhoe, Hamed Hassani, Victor M. Preciado
http://arxiv.org/abs/2106.14357v1

• [eess.SY]Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
Shichao Xu, Yangyang Fu, Yixuan Wang, Zheng O’Neill, Qi Zhu
http://arxiv.org/abs/2106.14144v1

• [math.AG]Two-point AG codes from the Beelen-Montanucci maximal curve
Leonardo Landi, Lara Vicino
http://arxiv.org/abs/2106.14564v1

• [math.AT]Topos and Stacks of Deep Neural Networks
Jean-Claude Belfiore, Daniel Bennequin
http://arxiv.org/abs/2106.14587v1

• [math.NA]Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs
Tim De Ryck, Siddhartha Mishra
http://arxiv.org/abs/2106.14473v1

• [math.NA]Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations
Zeinab Hajimohammadi, Kourosh Parand, Ali Ghodsi
http://arxiv.org/abs/2106.14320v1

• [math.OC]Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
http://arxiv.org/abs/2106.14075v1

• [math.OC]Distributed algorithm for non-convex stochastic optimization with variance reduction
Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen
http://arxiv.org/abs/2106.14479v1

• [math.OC]Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Tian Ye, Simon S. Du
http://arxiv.org/abs/2106.14289v1

• [math.OC]The Convergence Rate of SGD’s Final Iterate: Analysis on Dimension Dependence
Daogao Liu, Zhou Lu
http://arxiv.org/abs/2106.14588v1

• [math.ST]A deep look into the Dagum family of isotropic covariance functions
Tarik Faouzi, Emilio Porcu, Igor Kondrashuk, Anatoliy Malyarenko
http://arxiv.org/abs/2106.14353v1

• [math.ST]Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard
http://arxiv.org/abs/2106.14669v1

• [math.ST]Bahadur efficiencies of the Epps—Pulley test for normality
Bruno Ebner, Norbert Henze
http://arxiv.org/abs/2106.13962v1

• [math.ST]Bootstrapping the error of Oja’s Algorithm
Robert Lunde, Purnamrita Sarkar, Rachel Ward
http://arxiv.org/abs/2106.14857v1

• [math.ST]Change-Point Detection in Dynamic Networks with Missing Links
Farida Enikeeva, Olga Klopp
http://arxiv.org/abs/2106.14470v1

• [math.ST]New copulas and their applications to symmetrizations of bivariate copulas
Mohamed El Maazouz, Ahmed Sani
http://arxiv.org/abs/
4a02
2106.14240v1
4a02
2106.14240v1)

• [math.ST]Optimal prediction of Markov chains with and without spectral gap
Yanjun Han, Soham Jana, Yihong Wu
http://arxiv.org/abs/2106.13947v1

• [physics.chem-ph]LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction
Shanzhuo Zhang, Lihang Liu, Sheng Gao, Donglong He, Xiaomin Fang, Weibin Li, Zhengjie Huang, Weiyue Su, Wenjin Wang
http://arxiv.org/abs/2106.14494v1

• [physics.data-an]Use of Machine Learning Technique to maximize the signal over background for
Kanhaiya Gupta
http://arxiv.org/abs/2106.14257v1

• [physics.soc-ph]Clarifying How Degree Entropies and Degree-Degree Correlations Relate to Network Robustness
Chris Jones, Karoline Wiesner
http://arxiv.org/abs/2106.14784v1

• [physics.soc-ph]Detecting anomalies in heterogeneous population-scale VAT networks
Angelos Alexopoulos, Petros Dellaportas, Stanley Gyoshev, Christos Kotsogiannis, Sofia C. Olhede, Trifon Pavkov
http://arxiv.org/abs/2106.14005v1

• [q-bio.BM]Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
http://arxiv.org/abs/2106.14192v1

• [quant-ph]Algorithmic Randomness and Kolmogorov Complexity for Qubits
Tejas Bhojraj
http://arxiv.org/abs/2106.14280v1

• [quant-ph]Quantum Data Compression and Quantum Cross Entropy
Zhou Shangnan
http://arxiv.org/abs/2106.13823v1

• [stat.AP]Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times
Janie Coulombe, Erica E. M. Moodie, Robert W. Platt, Christel Renoux
http://arxiv.org/abs/2106.14364v1

• [stat.AP]Malaria Risk Mapping Using Routine Health System Incidence Data in Zambia
Benjamin M. Taylor, Ricardo Andrade-Pacheco, Hugh Sturrock, Busiku Hamainza, Kafula Silumbe, John Miller, Thomas P. Eisele, Francois Rerolle, Hannah Slater, Adam Bennett
http://arxiv.org/abs/2106.14436v1

• [stat.AP]More on verification of probability forecasts for football outcomes: score decompositions, reliability, and discrimination analyses
Jean-Louis Foulley
http://arxiv.org/abs/2106.14345v1

• [stat.AP]On assessing excess mortality in Germany during the COVID-19 pandemic
Giacomo De Nicola, Göran Kauermann, Michael Höhle
http://arxiv.org/abs/2106.13827v1

• [stat.AP]Sparse Logistic Tensor Decomposition for Binary Data
Jianhao Zhang, Yoonkyung Lee
http://arxiv.org/abs/2106.14258v1

• [stat.AP]Statistical Methods for the meta-analysis paper by Itzhaky et al
Steven P. Ellis
http://arxiv.org/abs/2106.13874v1

• [stat.AP]Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-yi Su, Sheng-Tai Huang
http://arxiv.org/abs/2106.14384v1

• [stat.CO]BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R
Chuji Luo, Michael J. Daniels
http://arxiv.org/abs/2106.14599v1

• [stat.CO]Flexible Variational Bayes based on a Copula of a Mixture of Normals
David Gunawan, Robert Kohn, David Nott
http://arxiv.org/abs/2106.14392v1

• [stat.CO]Parmsurv: a SAS Macro for Flexible Parametric Survival Analysis with Long-Term Predictions
Han Fu, Shahrul Mt-Isa, Richard Baumgartner, William Malbecq
http://arxiv.org/abs/2106.14109v1

• [stat.ME]A Generalizability Score for Aggregate Causal Effect
Rui Chen, Guanhua Chen, Menggang Yu
http://arxiv.org/abs/2106.14243v1

• [stat.ME]A general, simple, robust method to account for measurement error when analyzing data with an internal validation subsample
Walter K Kremers
http://arxiv.org/abs/2106.14063v1

• [stat.ME]An Approach to Causal Inference over Stochastic Networks
Duncan A. Clark, Mark S. Handcock
http://arxiv.org/abs/2106.14145v1

• [stat.ME]Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
Wei Zhang, Ivor Cribben, sonia Petrone, Michele Guindani
http://arxiv.org/abs/2106.14083v1

• [stat.ME]Deep Learning Partial Least Squares
Nicholas Polson, Vadim Sokolov, Jianeng Xu
http://arxiv.org/abs/2106.14085v1

• [stat.ME]Extending the Patra-Sen Approach to Estimating the Background Component in a Two-Component Mixture Model
Ery Arias-Castro, He Jiang
http://arxiv.org/abs/2106.13925v1

• [stat.ME]Hypothesis Testing for Two Sample Compari
5339
son of Network Data
Han Feng, Xing Qiu, Hongyu Miao
http://arxiv.org/abs/2106.13931v1

• [stat.ME]On Graphical Models and Convex Geometry
Haim Bar, Martin T. Wells
http://arxiv.org/abs/2106.14255v1

• [stat.ME]Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
Kazuharu Harada, Hironori Fujisawa
http://arxiv.org/abs/2106.13946v1

• [stat.ME]Parametric Analysis of Gumbel Type-II Distribution under Step-stress Life Test
Subhankar Dutta, Farha Sultana, Suchandan Kayal
http://arxiv.org/abs/2106.14377v1

• [stat.ME]The mbsts package: Multivariate Bayesian Structural Time Series Models in R
Ning Ning, Jinwen Qiu
http://arxiv.org/abs/2106.14045v1

• [stat.ME]Universal inference with composite likelihoods
Hien D Nguyen, Jessica Bagnall-Guerreiro, Andrew T Jones
http://arxiv.org/abs/2106.14399v1

• [stat.ME]Using relative weight analysis with residualization to detect relevant nonlinear interaction effects in ordinary and logistic regressions
Maikol Solís, Carlos Pasquier
http://arxiv.org/abs/2106.14095v1

• [stat.ME]What to do if N is two?
Pascal Fries, Eric Maris
http://arxiv.org/abs/2106.14562v1

• [stat.ML]Dynamic Planning and Learning under Recovering Rewards
David Simchi-Levi, Zeyu Zheng, Feng Zhu
http://arxiv.org/abs/2106.14813v1

• [stat.ML]Functional Classwise Principal Component Analysis: A Novel Classification Framework
Avishek Chatterjee, Satyaki Mazumder, Koel Das
http://arxiv.org/abs/2106.13959v1

• [stat.ML]Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
Yue Gao, Garvesh Raskutti
http://arxiv.org/abs/2106.14630v1

• [stat.ML]Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning
Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan
http://arxiv.org/abs/2106.14352v1

• [stat.ML]Interpretable Network Representation Learning with Principal Component Analysis
James D. Wilson, Jihui Lee
http://arxiv.org/abs/2106.14238v1

• [stat.ML]Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady
http://arxiv.org/abs/2106.14866v1

• [stat.ML]Score-Based Change Detection for Gradient-Based Learning Machines
Lang Liu, Joseph Salmon, Zaid Harchaoui
http://arxiv.org/abs/2106.14122v1

• [stat.ML]Use of Variational Inference in Music Emotion Recognition
Nathalie Deziderio, Hugo Tremonte de Carvalho
http://arxiv.org/abs/2106.14323v1

• [stat.ML]Variance Reduction for Matrix Computations with Applications to Gaussian Processes
Anant Mathur, Sarat Moka, Zdravko Botev
http://arxiv.org/abs/2106.14565v1