astro-ph.EP - 地球与行星天体
    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.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    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
    eess.IV - 图像与视频处理
    math.OA - 算子代数
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.data-an - 数据分析、 统计和概率
    physics.med-ph - 医学物理学
    physics.soc-ph - 物理学与社会
    q-bio.QM - 定量方法
    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.EP]Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides
    • [cs.AI]Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
    • [cs.AI]From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey
    • [cs.AI]MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
    • [cs.AI]Maneuver Identification Challenge
    • [cs.AI]Multiple Sclerosis Lesions Identification/Segmentation in Magnetic Resonance Imaging using Ensemble CNN and Uncertainty Classification
    • [cs.AI]Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI
    • [cs.AI]Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
    • [cs.AI]SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
    • [cs.AR]Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
    • [cs.AR]Efficient On-Chip Communication for Parallel Graph-Analytics on Spatial Architectures
    • [cs.CL]A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
    • [cs.CL]A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition
    • [cs.CL]A Statutory Article Retrieval Dataset in French
    • [cs.CL]A Survey on Automated Fact-Checking
    • [cs.CL]Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization
    • [cs.CL]CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation
    • [cs.CL]Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
    • [cs.CL]Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification
    • [cs.CL]HAN: Higher-order Attention Network for Spoken Language Understanding
    • [cs.CL]Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
    • [cs.CL]LayoutReader: Pre-training of Text and Layout for Reading Order Detection
    • [cs.CL]Machine Learning for Mediation in Armed Conflicts
    • [cs.CL]Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network
    • [cs.CL]Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition
    • [cs.CL]Rethinking Why Intermediate-Task Fine-Tuning Works
    • [cs.CL]SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion
    • [cs.CL]Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis
    • [cs.CL]Technological Approaches to Detecting Online Disinformation and Manipulation
    • [cs.CL]Technological Approaches to Detecting Online Disinformation and Manipulation
    • [cs.CL]Understanding Attention in Machine Reading Comprehension
    • [cs.CL]Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
    • [cs.CR]PIVODL: Privacy-preserving vertical federated learning over distributed labels
    • [cs.CR]Subspace Differential Privacy
    • [cs.CR]Understanding Money Trails of Suspicious Activities in a cryptocurrency-based Blockchain
    • [cs.CV]A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection
    • [cs.CV]A Riemannian Framework for Analysis of Human Body Surface
    • [cs.CV]A Robust Loss for Point Cloud Registration
    • [cs.CV]A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
    • [cs.CV]An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
    • [cs.CV]ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
    • [cs.CV]Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks
    • [cs.CV]Cross-category Video Highlight Detection via Set-based Learning
    • [cs.CV]Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
    • [cs.CV]Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation
    • [cs.CV]Fast and Flexible Human Pose Estimation with HyperPose
    • [cs.CV]Few-shot Visual Relationship Co-localization
    • [cs.CV]Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
    • [cs.CV]Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
    • [cs.CV]ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
    • [cs.CV]Identity-aware Graph Memory Network for Action Detection
    • [cs.CV]Improving Object Detection and Attribute Recognition by Feature Entanglement Reduction
    • [cs.CV]Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
    • [cs.CV]Learning to Diversify for Single Domain Generalization
    • [cs.CV]LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
    • [cs.CV]Mining Contextual Information Beyond Image for Semantic Segmentation
    • [cs.CV]Multi-Modulation Network for Audio-Visual Event Localization
    • [cs.CV]PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining
    • [cs.CV]Physical Adversarial Attacks on an Aerial Imagery Object Detector
    • [cs.CV]PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
    • [cs.CV]Probabilistic Modeling for Human Mesh Recovery
    • [cs.CV]Quadratic mutual information regularization in real-time deep CNN models
    • [cs.CV]Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
    • [cs.CV]Reducing Label Effort: Self-Supervised meets Active Learning
    • [cs.CV]Robust High-Resolution Video Matting with Temporal Guidance
    • [cs.CV]Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
    • [cs.CV]Semantically Coherent Out-of-Distribution Detection
    • [cs.CV]Shifted Chunk Transformer for Spatio-Temporal Representational Learning
    • [cs.CV]Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning
    • [cs.CV]SketchLattice: Latticed Representation for Sketch Manipulation
    • [cs.CV]Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
    • [cs.CV]StackMix and Blot Augmentations for Handwritten Text Recognition
    • [cs.CV]State of the Art: Face Recognition
    • [cs.CV]State of the Art: Image Hashing
    • [cs.CV]TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
    • [cs.CV]The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
    • [cs.CV]Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
    • [cs.CV]Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR
    • [cs.CV]Visual-and-Language Navigation: A Survey and Taxonomy
    • [cs.CV]Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
    • [cs.CV]XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
    • [cs.CV]YOLOP: You Only Look Once for Panoptic Driving Perception
    • [cs.CV]iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
    • [cs.CY]AI at work — Mitigating safety and discriminatory risk with technical standards
    • [cs.DB]Supercomputing Enabled Deployable Analytics for Disaster Response
    • [cs.DC]Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy
    • [cs.DC]H2OPUS-TLR: High Performance Tile Low Rank Symmetric Factorizations using Adaptive Randomized Approximation
    • [cs.DC]Hardware-assisted Trusted Memory Disaggregation for Secure Far Memory
    • [cs.DC]On Truly Parallel Time in Population Protocols
    • [cs.DC]Online Service Placement and Request Scheduling in MEC Networks
    • [cs.HC]”Look! It’s a Computer Program! It’s an Algorithm! It’s AI!”: Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems?
    • [cs.HC]Integrated Speech and Gesture Synthesis
    • [cs.HC]User-Centric Semi-Automated Infographics Authoring and Recommendation
    • [cs.IR]On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval
    • [cs.IR]Patent-KG: A Patent Knowledge Graph for Engineering Design
    • [cs.IR]Photos Are All You Need for Reciprocal Recommendation in Online Dating
    • [cs.IR]Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search
    • [cs.IT]A promotion for odd symmetric discrete Fourier transform
    • [cs.IT]Bandwidth Allocation and Service Differentiation in D2D Wireless Networks
    • [cs.IT]Binary sequences with length n and nonlinear complexity not less than n/2
    • [cs.IT]Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial
    • [cs.IT]Energy Optimization of Faulty Quantized Min-SumLDPC Decoders
    • [cs.IT]Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast
    • [cs.IT]Multi-strand Reconstruction from Substrings
    • [cs.LG]A Hierarchical Assessment of Adversarial Severity
    • [cs.LG]A New Interpolation Approach and Corresponding Instance-Based Learning
    • [cs.LG]Adaptive Control of Differentially Private Linear Quadratic Systems
    • [cs.LG]Bilateral Denoising Diffusion Models
    • [cs.LG]CoSEM: Contextual and Semantic Embedding for App Usage Prediction
    • [cs.LG]DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
    • [cs.LG]Disentangling ODE parameters from dynamics in VAEs
    • [cs.LG]ETA Prediction with Graph Neural Networks in Google Maps
    • [cs.LG]Efficient Out-of-Distribution Detection Using Latent Space of 今日学术视野(2021.8.28) - 图1-VAE for Cyber-Physical Systems
    • [cs.LG]Enabling SQL-based Training Data Debugging for Federated Learning
    • [cs.LG]Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
    • [cs.LG]GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
    • [cs.LG]Heavy-tailed Streaming Statistical Estimation
    • [cs.LG]Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning
    • [cs.LG]Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach
    • [cs.LG]Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
    • [cs.LG]Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
    • [cs.LG]Machine Unlearning of Features and Labels
    • [cs.LG]Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
    • [cs.LG]Modeling Item Response Theory with Stochastic Variational Inference
    • [cs.LG]Robust Long-Tailed Learning under Label Noise
    • [cs.LG]SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations
    • [cs.LG]Sketches for Time-Dependent Machine Learning
    • [cs.LG]SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
    • [cs.LG]Spatio-Temporal Graph Contrastive Learning
    • [cs.LG]The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming
    • [cs.LG]Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
    • [cs.LG]Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
    • [cs.LG]Unsupervised Reservoir Computing for Solving Ordinary Differential Equations
    • [cs.LG]When should agents explore?
    • [cs.LG]Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
    • [cs.NI]Human readable network troubleshooting based on anomaly detection and feature scoring
    • [cs.RO]Auxiliary Heuristics for Frontier Based Planners
    • [cs.RO]Design of a Flying Humanoid Robot Based on Thrust Vector Control
    • [cs.RO]Human operator cognitive availability aware Mixed-Initiative control
    • [cs.RO]Improving HRI through robot architecture transparency
    • [cs.RO]Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
    • [cs.RO]Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning
    • [cs.RO]Model-based Decision Making with Imagination for Autonomous Parking
    • [cs.RO]Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications
    • [cs.RO]Parallelised Diffeomorphic Sampling-based Motion Planning
    • [cs.RO]Productive Multitasking for Industrial Robots
    • [cs.RO]SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
    • [cs.RO]Trajectory Following of a Reciprocally Rotating Magnetic Capsule in a Tubular Environment
    • [cs.RO]Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments
    • [cs.SD]Self-Attention for Audio Super-Resolution
    • [cs.SE]AVATAR: A Parallel Corpus for Java-Python Program Translation
    • [cs.SE]On the use of test smells for prediction of flaky tests
    • [cs.SE]Retrieval Augmented Code Generation and Summarization
    • [eess.IV]Generalized Real-World Super-Resolution through Adversarial Robustness
    • [eess.IV]NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function
    • [eess.IV]PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
    • [eess.IV]Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
    • [math.OA]Minimal Stinespring Representations of Operator Valued Multilinear Maps
    • [math.OC]Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality
    • [math.OC]The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size
    • [math.PR]Large Large deviations for spatial telecommunication systems: The boolean model
    • [math.ST]A Unified Approach for Constructing Confidence Intervals and Hypothesis Tests Using h-function
    • [math.ST]Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
    • [math.ST]Learning Partial Differential E
    1000
    quations in Reproducing Kernel Hilbert Spaces
    • [physics.data-an]Excess and Deficiency of Extreme Multidimensional Random Fields
    • [physics.data-an]Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences
    • [physics.med-ph]Physics-informed neural networks for improving cerebral hemodynamics predictions
    • [physics.soc-ph]Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control
    • [q-bio.QM]Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes
    • [q-bio.QM]Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model
    • [quant-ph]Training a discrete variational autoencoder for generative chemistry and drug design on a quantum annealer
    • [stat.AP]A Data-driven Diagnostic Framework for Small Watersheds based on Markov Chain-Monte Carlo
    • [stat.AP]A Statistical Inference Framework to Assess Clinical Importance
    • [stat.AP]Bayesian Estimation of the Hydroxyl Radical Diffusion Coefficient at Low Temperature and High Pressure from Atomistic Molecular Dynamics
    • [stat.AP]Distributed Soft Bayesian Additive Regression Trees
    • [stat.AP]Resource efficiency and Circular Economy in European SMEs: Investigating the role of green jobs and skills
    • [stat.AP]Trade-off between deep learning for species identification and inference about predator-prey co-occurrence: Reproducible R workflow integrating models in computer vision and ecological statistics
    • [stat.CO]Multivariate Lévy Adaptive B-Spline Regression
    • [stat.ME]Inverse Sampling of Degenerate Datasets from a Linear Regression Line
    • [stat.ME]On Soft Bayesian Additive Regression Trees and asynchronous longitudinal regression analysis
    • [stat.ME]Power considerations for generalized estimating equations analyses of four-level cluster randomized trials
    • [stat.ME]Robust and Efficient Empirical Bayes Confidence Intervals using 今日学术视野(2021.8.28) - 图2-Divergence
    • [stat.ML]A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
    • [stat.ML]Deep learning based dictionary learning and tomographic image reconstruction
    • [stat.ML]Estimation of Riemannian distances between covariance operators and Gaussian processes
    • [stat.ML]The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks

    ·····································

    • [astro-ph.EP]Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides
    Ming Zhong, Jason Miller, Mauro Maggioni
    http://arxiv.org/abs/2108.11894v1

    • [cs.AI]Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
    Toon Van de Maele, Tim Verbelen, Ozan Catal, Bart Dhoedt
    http://arxiv.org/abs/2108.11762v1

    • [cs.AI]From Statistical Relational to Neural Symbolic Artificial Intelligence: a Survey
    Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, Luc De Raedt
    http://arxiv.org/abs/2108.11451v1

    • [cs.AI]MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
    Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong
    http://arxiv.org/abs/2108.11635v1

    • [cs.AI]Maneuver Identification Challenge
    Kaira Samuel, Vijay Gadepally, David Jacobs, Michael Jones, Kyle McAlpin, Kyle Palko, Ben Paulk, Sid Samsi, Ho Chit Siu, Charles Yee, Jeremy Kepner
    http://arxiv.org/abs/2108.11503v1

    • [cs.AI]Multiple Sclerosis Lesions Identification/Segmentation in Magnetic Resonance Imaging using Ensemble CNN and Uncertainty Classification
    Giuseppe Placidi, Luigi Cinque, Filippo Mignosi, Matteo Polsinelli
    http://arxiv.org/abs/2108.11791v1

    • [cs.AI]Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI
    Bastian Pfeifer, Anna Saranti, Andreas Holzinger
    http://arxiv.org/abs/2108.11674v1

    • [cs.AI]Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
    Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Dijun Luo, Xi Xiao
    http://arxiv.org/abs/2108.11645v1

    • [cs.AI]SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
    Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings
    http://arxiv.org/abs/2108.11711v1

    • [cs.AR]Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
    Vinod Ganesan, Pratyush Kumar
    http://arxiv.org/abs/2108.11441v1

    • [cs.AR]Efficient On-Chip Communication for Parallel Graph-Analytics on Spatial Architectures
    Khushal Sethi
    http://arxiv.org/abs/2108.11521v1

    • [cs.CL]A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
    Yoon Kyung Lee, Inju Lee, Jae Eun Park, Yoonwon Jung, Jiwon Kim, Sowon Hahn
    http://arxiv.org/abs/2108.11810v1

    • [cs.CL]A Realistic Study of Auto-regressive Language Models for Named Entity Typing and Recognition
    Elena V. Epure, Romain Hennequin
    http://arxiv.org/abs/2108.11857v1

    • [cs.CL]A Statutory Article Retrieval Dataset in French
    Antoine Louis, Gerasimos Spanakis, Gijs Van Dijck
    http://arxiv.org/abs/2108.11792v1

    • [cs.CL]A Survey on Automated Fact-Checking
    Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
    http://arxiv.org/abs/2108.11896v1

    • [cs.CL]Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization
    Shichao Sun, Wenjie Li
    http://arxiv.org/abs/2108.11846v1

    • [cs.CL]CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation
    Joosung Lee, Wooin Lee
    http://arxiv.org/abs/2108.11626v1

    • [cs.CL]Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
    Usama Yaseen, Stefan Langer
    http://arxiv.org/abs/2108.11703v1

    • [cs.CL]Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification
    Bruce Nguyen, Shaoxiong Ji
    http://arxiv.org/abs/2108.11809v1

    • [cs.CL]HAN: Higher-order Attention Network for Spoken Language Understanding
    Dongsheng Chen, Zhiqi Huang, Yuexian Zou
    http://arxiv.org/abs/2108.11916v1

    • [cs.CL]Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
    Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark Riedl
    http://arxiv.org/abs/2108.11830v1

    • [cs.CL]LayoutReader: Pre-training of Text and Layout for Reading Order Detection
    Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei
    http://arxiv.org/abs/2108.11591v1

    • [cs.CL]Machine Learning for Mediation in Armed Conflicts
    M. Arana-Catania, F. A. Van Lier, Rob Procter
    http://arxiv.org/abs/2108.11942v1

    • [cs.CL]Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network
    Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
    http://arxiv.org/abs/2108.11943v1

    • [cs.CL]Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition
    Yangming Li, Lemao Liu, Shuming Shi
    http://arxiv.org/abs/2108.11607v1

    • [cs.CL]Rethinking Why Intermediate-Task Fine-Tuning Works
    Ting-Yun Chang, Chi-Jen Lu
    http://arxiv.org/abs/2108.11696v1

    • [cs.CL]SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion
    Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, Ismini Lourentzou
    http://arxiv.org/abs/2108.11948v1

    • [cs.CL]Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis
    Sk Mainul Islam, Sourangshu Bhattacharya
    http://arxiv.org/abs/2108.11656v1

    • [cs.CL]Technological Approaches to Detecting Online Disinformation and Manipulation
    Aleš Horák, Vít Baisa, Ondřej Herman
    http://arxiv.org/abs/2108
    1000
    .11669v1
    1000
    .11669v1)

    • [cs.CL]Technological Approaches to Detecting Online Disinformation and Manipulation
    Aleš Horák, Vít Baisa, Ondřej Herman
    http://arxiv.org/abs/2108.11669v1

    • [cs.CL]Understanding Attention in Machine Reading Comprehension
    Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen
    http://arxiv.org/abs/2108.11574v1

    • [cs.CL]Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
    Juri Opitz, Angel Daza, Anette Frank
    http://arxiv.org/abs/2108.11949v1

    • [cs.CR]PIVODL: Privacy-preserving vertical federated learning over distributed labels
    Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang
    http://arxiv.org/abs/2108.11444v1

    • [cs.CR]Subspace Differential Privacy
    Jie Gao, Ruobin Gong, Fang-Yi Yu
    http://arxiv.org/abs/2108.11527v1

    • [cs.CR]Understanding Money Trails of Suspicious Activities in a cryptocurrency-based Blockchain
    Banwari Lal, Rachit Agarwal, Sandeep Kumar Shukla
    http://arxiv.org/abs/2108.11818v1

    • [cs.CV]A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection
    Jens Bayer, David Münch, Michael Arens
    http://arxiv.org/abs/2108.11767v1

    • [cs.CV]A Riemannian Framework for Analysis of Human Body Surface
    Emery Pierson, Mohamed Daoudi, Alice-Barbara Tumpach
    http://arxiv.org/abs/2108.11449v1

    • [cs.CV]A Robust Loss for Point Cloud Registration
    Zhi Deng, Yuxin Yao, Bailin Deng, Juyong Zhang
    http://arxiv.org/abs/2108.11682v1

    • [cs.CV]A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
    Henrik Biermann, Jonas Theiner, Manuel Bassek, Dominik Raabe, Daniel Memmert, Ralph Ewerth
    http://arxiv.org/abs/2108.11149v2

    • [cs.CV]An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
    Zhiwei Ma, Haojie Li, Zhihui Wang, Dan Yu, Tianyi Wang, Yingshuang Gu, Xin Fan, Zhongxuan Luo
    http://arxiv.org/abs/2108.11727v1

    • [cs.CV]ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
    Matheus Barros Pereira, Jefersson Alex dos Santos
    http://arxiv.org/abs/2108.11535v1

    • [cs.CV]Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks
    Bin Liu
    http://arxiv.org/abs/2108.11845v1

    • [cs.CV]Cross-category Video Highlight Detection via Set-based Learning
    Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang
    http://arxiv.org/abs/2108.11770v1

    • [cs.CV]Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
    Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides
    http://arxiv.org/abs/2108.11510v1

    • [cs.CV]Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation
    Maria Tzelepi, Anastasios Tefas
    http://arxiv.org/abs/2108.11798v1

    • [cs.CV]Fast and Flexible Human Pose Estimation with HyperPose
    Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong
    http://arxiv.org/abs/2108.11826v1

    • [cs.CV]Few-shot Visual Relationship Co-localization
    Revant Teotia, Vaibhav Mishra, Mayank Maheshwari, Anand Mishra
    http://arxiv.org/abs/2108.11618v1

    • [cs.CV]Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
    N S Kamal, Barathi Ganesh HB, Sajith Variyar VV, Sowmya V, Soman KP
    http://arxiv.org/abs/2108.11838v1

    • [cs.CV]Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
    Soroush Seifi, Abhishek Jha, Tinne Tuytelaars
    http://arxiv.org/abs/2108.11717v1

    • [cs.CV]ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
    Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li
    http://arxiv.org/abs/2108.11771v1

    • [cs.CV]Identity-aware Graph Memory Network for Action Detection
    Jingcheng Ni, Jie Qin, Di Huang
    http://arxiv.org/abs/2108.11559v1

    • [cs.CV]Improving Object Detection and Attribute Recognition by Feature Entanglement Reduction
    Zhaoheng Zheng, Arka Sadhu, Ram Nevatia
    http://arxiv.org/abs/2108.11501v1

    • [cs.CV]Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
    Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda
    http://arxiv.org/abs/2108.11693v1

    • [cs.CV]Learning to Diversify for Single Domain Generalization
    Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh
    http://arxiv.org/abs/2108.11726v1

    • [cs.CV]LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
    Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
    http://arxiv.org/abs/2108.11950v1

    • [cs.CV]Mining Contextual Information Beyond Image for Semantic Segmentation
    Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao
    http://arxiv.org/abs/2108.11819v1

    • [cs.CV]Multi-Modulation Network for Audio-Visual Event Localization
    Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo
    http://arxiv.org/abs/2108.11773v1

    • [cs.CV]PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining
    Jun Wang, Hefeng Zhou, Xiaohan Yu
    http://arxiv.org/abs/2108.11439v1

    • [cs.CV]Physical Adversarial Attacks on an Aerial Imagery Object Detector
    Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
    http://arxiv.org/abs/2108.11765v1

    • [cs.CV]PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
    Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Ye Luo, Jianwei Lu
    http://arxiv.org/abs/2108.11694v1

    • [cs.CV]Probabilistic Modeling for Human Mesh Recovery
    Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis
    http://arxiv.org/abs/2108.11944v1

    • [cs.CV]Quadratic mutual information regularization in real-time deep CNN models
    Maria Tzelepi, Anastasios Tefas
    http://arxiv.org/abs/2108.11774v1

    • [cs.CV]Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
    Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
    http://arxiv.org/abs/2108.11926v1

    • [cs.CV]Reducing Label Effort: Self-Supervised meets Active Learning
    Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu
    http://arxiv.org/abs/2108.11458v1

    • [cs.CV]Robust High-Resolution Video Matting with Temporal Guidance
    Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta
    http://arxiv.org/abs/2108.11515v1

    • [cs.CV]Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
    Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
    http://arxiv.org/abs/2108.11900v1

    • [cs.CV]Semantically Coherent Out-of-Distribution Detection
    Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu
    http://arxiv.org/abs/2108.11941v1

    • [cs.CV]Shifted Chunk Transformer for Spatio-Temporal Representational Learning
    Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen Yang, Ji Liu
    http://arxiv.org/abs/2108.11575v1

    • [cs.CV]Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning
    Guodun Li, Yuchen Zhai, Zehao Lin, Yin Zhang
    http://arxiv.org/abs/2108.11912v1

    • [cs.CV]SketchLattice: Latticed Representation for Sketch Manipulation
    Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song
    http://arxiv.org/abs/2108.11636v1

    • [cs.CV]Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
    Hangjie Yuan, Dong Ni, Mang Wang
    http://arxiv.org/abs/2108.11743v1

    • [cs.CV]StackMix and Blot Augmentations for Handwritten Text Recognition
    Alex Shonenkov, Denis Karachev, Maxim Novopoltsev, Mark Potanin, Denis Dimitrov
    http://arxiv.org/abs/2108.11667v1

    • [cs.CV]State of the Art: Face Recognition
    Rubel Biswas, Pablo Blanco-Medina
    http://arxiv.org/abs/2108.11821v1

    • [cs.CV]State of the Art: Image Hashing
    Rubel Biswas, Pablo Blanco-Medina
    http://arxiv.org/abs/2108.11794v1

    • [cs.CV]TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
    Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao
    http://arxiv.org/abs/2108.11539v1

    • [cs.CV]The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation
    Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander Schwing
    http://arxiv.org/abs/2108.11550v1

    • [cs.CV]Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
    Ronghan Chen, Yang Cong, Jiahua Dong
    http://arxiv.org/abs/2108.11609v1

    • [cs.CV]Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR
    Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
    http://arxiv.org/abs/2108.11801v1

    • [cs.CV]Visual-and-Language Navigation: A Survey and Taxonomy
    Wansen Wu, Tao Chang, Xinmeng Li
    http://arxiv.org/abs/2108.11544v1

    • [cs.CV]Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
    Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S’Niehotta, Nicolas Audebert
    http://arxiv.org/abs/2108.11629v1

    • [cs.CV]XCI-Sketch: Extraction of Color Information from Images for Generation of Colored Outlines and Sketches
    Harsh Rathod, Manisimha Varma, Parna Chowdhury, Sameer Saxena, V Manushree, Ankita Ghosh, Sahil Khose
    http://arxiv.org/abs/2108.11554v1

    • [cs.CV]YOLOP: You Only Look Once for Panoptic Driving Perception
    Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang
    http://arxiv.org/abs/2108.11250v2

    • [cs.CV]iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
    Huiqun Wang, Ruijie Yang, Di Huang, Yunhong Wang
    http://arxiv.org/abs/2108.11014v1

    • [cs.CY]AI at work — Mitigating safety and discriminatory risk with technical standards
    Nikolas Becker, Pauline Junginger, Lukas Martinez, Daniel Krupka, Leonie Beining
    http://arxiv.org/abs/2108.11844v1

    • [cs.DB]Supercomputing Enabled Deployable Analytics for Disaster Response
    Kaira Samuel, Jeremy Kepner, Michael Jones, Lauren Milechin, Vijay Gadepally, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Anna Klein, Victor Lopez, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas
    http://arxiv.org/abs/2108.11525v1

    • [cs.DC]Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy
    Nirupam Gupta, Thinh T. Doan, Nitin Vaidya
    http://arxiv.org/abs/2108.11769v1

    • [cs.DC]H2OPUS-TLR: High Performance Tile Low Rank Symmetric Factorizations using Adaptive Randomized Approximation
    Wajih Boukaram, Stefano Zampini, George Turkiyyah, David Keyes
    http://arxiv.org/abs/2108.11932v1

    • [cs.DC]Hardware-assisted Trusted Memory Disaggregation for Secure Far Memory
    Taekyung Heo, Seunghyo Kang, Sanghyeon Lee, Soojin Hwang, Jaehyuk Huh
    http://arxiv.org/abs/2108.11507v1

    • [cs.DC]On Truly Parallel Time in Population Protocols
    Artur Czumaj, Andrzej Lingas
    http://arxiv.org/abs/2108.11613v1

    • [cs.DC]Online Service Placement and Request Scheduling in MEC Networks
    Lina Su, Ne Wang, Ruiting Zhou, Zongpeng Li
    http://arxiv.org/abs/2108.11633v1

    • [cs.HC]“Look! It’s a Computer Program! It’s an Algorithm! It’s AI!”: Does Terminology Affect Human Perceptions and Evaluations of Intelligent Systems?
    Markus Langer, Tim Hunsicker, Tina Feldkamp, Cornelius J. König, Nina Grgić-Hlača
    http://arxiv.org/abs/2108.11486v1

    • [cs.HC]Integrated Speech and Gesture Synthesis
    Siyang Wang, Simon Alexanderson, Joakim Gustafson, Jonas Beskow, Gustav Eje Henter, Éva Székely
    http://arxiv.org/abs/2108.11436v1

    • [cs.HC]User-Centric Semi-Automated Infographics Authoring and Recommendation
    Anjul Tyagi, Jian Zhao, Pushkar Patel, Swasti Khurana, Klaus Mueller
    http://arxiv.org/abs/2108.11914v1

    • [cs.IR]On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval
    Craig Macdonald, Nicola Tonellotto
    http://arxiv.org/abs/2108.11480v1

    • [cs.IR]Patent-KG: A Patent Knowledge Graph for Engineering Design
    Haoyu Zuo, Yuan Yin, Peter Childs
    http://arxiv.org/abs/2108.11899v1

    • [cs.IR]Photos Are All You Need for Reciprocal Recommendation in Online Dating
    James Neve, Ryan McConville
    http://arxiv.org/abs/2108.11714v1

    • [cs.IR]Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search
    Ben Carterette, Rosie Jones, Gareth F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff
    http://arxiv.org/abs/2108.11460v1

    • [cs.IT]A promotion for odd symmetric discrete Fourier transform
    Rui Li
    http://arxiv.org/abs/2108.11646v1

    • [cs.IT]Bandwidth Allocation and Service Differentiation in D2D Wireless Networks
    Francois Baccelli, Sanket S. Kalamkar
    http://arxiv.org/abs/2108.11472v1

    • [cs.IT]Binary sequences with length n and nonlinear complexity not less than n/2
    Sicheng Liang, Xiangyong Zeng, Zibi Xiao, Zhimin Sun
    http://arxiv.org/abs/2108.11859v1

    • [cs.IT]Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial
    Ljubisa Stankovic, Danilo Mandic
    http://arxiv.org/abs/2108.11663v1

    • [cs.IT]Energy Optimization of Faulty Quantized Min-SumLDPC Decoders
    Mohamed Yaoumi, Jeremy Nadal, Elsa Dupraz, Frederic Guilloud, Francois Leduc-Primeau
    http://arxiv.org/abs/2108.11812v1

    • [cs.IT]Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast
    WenLin Chen, Fang Lu, Yan Dong
    http://arxiv.org/abs/2108.11659v1

    • [cs.IT]Multi-strand Reconstruction from Substrings
    Yonatan Yehezkeally, Sagi Marcovich, Eitan Yaakobi
    http://arxiv.org/abs/2108.11725v1

    • [cs.LG]A Hierarchical Assessment of Adversarial Severity
    Guillaume Jeanneret, Juan C Perez, Pablo Arbelaez
    http://arxiv.org/abs/2108.11785v1

    • [cs.LG]A New Interpolation Approach and Corresponding Instance-Based Learning
    Shiyou Lian
    http://arxiv.org/abs/2108.11530v1

    • [cs.LG]Adaptive Control of Differentially Private Linear Quadratic Systems
    Sayak Ray Chowdhury, Xingyu Zhou, Ness Shroff
    http://arxiv.org/abs/2108.11563v1

    • [cs.LG]Bilateral Denoising Diffusion Models
    Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu
    http://arxiv.org/abs/2108.11514v1

    • [cs.LG]CoSEM: Contextual and Semantic Embedding for App Usage Prediction
    Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim
    http://arxiv.org/abs/2108.11561v1

    • [cs.LG]DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
    Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
    http://arxiv.org/abs/2108.11883v1

    • [cs.LG]Disentangling ODE parameters from dynamics in VAEs
    Stathi Fotiadis, Mario Lino, Chris Cantwell, Anil Bharath
    http://arxiv.org/abs/2108.11684v1

    • [cs.LG]ETA Prediction with Graph Neural Networks in Google Maps
    Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković
    http://arxiv.org/abs/2108.11482v1

    • [cs.LG]Efficient Out-of-Distribution Detection Using Latent Space of 今日学术视野(2021.8.28) - 图3-VAE for Cyber-Physical Systems
    Shreyas Ramakrishna, Zahra Rahiminasab, Gabor Karsai, Arvind Easwaran, Abhishek Dubey
    http://arxiv.org/abs/2108.11800v1

    • [cs.LG]Enabling SQL-based Training Data Debugging for Federated Learning
    Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
    http://arxiv.org/abs/2108.11884v1

    • [cs.LG]Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
    Jiaju Qi, Qihao Zhou, Lei Lei, Kan Zheng
    http://arxiv.org/abs/2108.11887v1

    • [cs.LG]GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware
    Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan
    http://arxiv.org/abs/2108.11571v1

    • [cs.LG]Heavy-tailed Streaming Statistical Estimation
    Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
    http://arxiv.org/abs/2108.11483v1

    • [cs.LG]Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning
    Md. Mohsin Sarker Raihan, Muhammad Muinul Islam, Fariha Fairoz, Abdullah Bin Shams
    http://arxiv.org/abs/2108.11604v1

    • [cs.LG]Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach
    Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian
    http://arxiv.org/abs/2108.11761v1

    • [cs.LG]Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
    Bo Pang, Ying Nian Wu
    http://arxiv.org/abs/2108.11556v1

    • [cs.LG]Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
    Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
    http://arxiv.org/abs/2108.11513v1

    • [cs.LG]Machine Unlearning of Features and Labels
    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck
    http://arxiv.org/abs/2108.11577v1

    • [cs.LG]Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
    Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun
    http://arxiv.org/abs/2108.11623v1

    • [cs.LG]Modeling Item Response Theory with Stochastic Variational Inference
    Mike Wu, Richard L. Davis, Benjamin W. Domingue, Chris Piech, Noah Goodman
    http://arxiv.org/abs/2108.11579v1

    • [cs.LG]Robust Long-Tailed Learning under Label Noise
    Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li
    http://arxiv.org/abs/2108.11569v1

    • [cs.LG]SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations
    Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling
    http://arxiv.org/abs/2108.11523v1

    • [cs.LG]Sketches for Time-Dependent Machine Learning
    Jesus Antonanzas, Marta Arias, Albert Bifet
    http://arxiv.org/abs/2108.11923v1

    • [cs.LG]SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
    Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John
    http://arxiv.org/abs/2108.11468v1

    • [cs.LG]Spatio-Temporal Graph Contrastive Learning
    Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann
    http://arxiv.org/abs/2108.11873v1

    • [cs.LG]The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming
    Chufan Gao, Mononito Goswami
    http://arxiv.org/abs/2108.10921v2

    • [cs.LG]Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
    Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
    http://arxiv.org/abs/2108.11430v1

    • [cs.LG]Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics
    Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
    http://arxiv.org/abs/2108.11939v1

    • [cs.LG]Unsupervised Reservoir Computing for Solving Ordinary Differential Equations
    Marios Mattheakis, Hayden Joy, Pavlos Protopapas
    http://arxiv.org/abs/2108.11417v1

    • [cs.LG]When should agents explore?
    Miruna Pîslar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul
    http://arxiv.org/abs/2108.11811v1

    • [cs.LG]Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
    Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli
    http://arxiv.org/abs/2108.11673v1

    • [cs.NI]Human readable network troubleshooting based on anomaly detection and feature scoring
    Jose M. Navarro, Alexis Huet, Dario Rossi
    http://arxiv.org/abs/2108.11807v1

    • [cs.RO]Auxiliary Heuristics for Frontier Based Planners
    Arsh Tangri, Dhruv Joshi, Ashalatha Nayak
    http://arxiv.org/abs/2108.11860v1

    • [cs.RO]Design of a Flying Humanoid Robot Based on Thrust Vector Control
    Yuhang Li, Yuhao Zhou, Junbin Huang, Zijun Wang, Shunjie Zhu, Kairong Wu, Li Zheng, Jiajin Luo, Rui Cao, Yun Zhang, Zhifeng Huang
    http://arxiv.org/abs/2108.11557v1

    • [cs.RO]Human operator cognitive availability aware Mixed-Initiative control
    Giannis Petousakis, Manolis Chiou, Grigoris Nikolaou, Rustam Stolkin
    http://arxiv.org/abs/2108.11885v1

    • [cs.RO]Improving HRI through robot architecture transparency
    Lukas Hindemith, Anna-Lisa Vollmer, Christiane B. Wiebel-Herboth, Britta Wrede
    http://arxiv.org/abs/2108.11608v1

    • [cs.RO]Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
    Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State
    http://arxiv.org/abs/2108.10470v2

    • [cs.RO]Magnetic Field Sensing for Pedestrian and Robot Indoor Positioning
    Leonid Antsfeld, Boris Chidlovskii
    http://arxiv.org/abs/2108.11824v1

    • [cs.RO]Model-based Decision Making with Imagination for Autonomous Parking
    Ziyue Feng, Yu Chen, Shitao Chen, Nanning Zheng
    http://arxiv.org/abs/2108.11420v1

    • [cs.RO]Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications
    Ruofei Bai, Ronghao Zheng, Meiqin Liu, Senlin Zhang
    http://arxiv.org/abs/2108.11597v1

    • [cs.RO]Parallelised Diffeomorphic Sampling-based Motion Planning
    Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
    http://arxiv.org/abs/2108.11775v1

    • [cs.RO]Productive Multitasking for Industrial Robots
    D. Wuthier, F. Rovida, M. Fumagalli, V. Krüger
    http://arxiv.org/abs/2108.11471v1

    • [cs.RO]SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
    Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
    http://arxiv.org/abs/2108.11945v1

    • [cs.RO]Trajectory Following of a Reciprocally Rotating Magnetic Capsule in a Tubular Environment
    Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q. -H. Meng
    http://arxiv.org/abs/2108.11620v1

    • [cs.RO]Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments
    Sean Roelofs, Benoit Landry, Myra Kurosu Jalil, Adrian Martin, Saisneha Koppaka, Sindy K. Y. Tang, Marco Pavone
    http://arxiv.org/abs/2108.11456v1

    • [cs.SD]Self-Attention for Audio Super-Resolution
    Nathanaël Carraz Rakotonirina
    http://arxiv.org/abs/2108.11637v1

    • [cs.SE]AVATAR: A Parallel Corpus for Java-Python Program Translation
    Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
    http://arxiv.org/abs/2108.11590v1

    • [cs.SE]On the use of test smells for prediction of flaky tests
    B. H. P. Camara, M. A. G. Silva, A. T. Endo, S. R. Vergilio
    http://arxiv.org/abs/2108.11781v1

    • [cs.SE]Retrieval Augmented Code Generation and Summarization
    Md Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
    http://arxiv.org/abs/2108.11601v1

    • [eess.IV]Generalized Real-World Super-Resolution through Adversarial Robustness
    Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez
    http://arxiv.org/abs/2108.11505v1

    • [eess.IV]NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function
    Praveen Ravirathinam, Darshan Agrawal, J. Jennifer Ranjani
    http://arxiv.org/abs/2108.11573v1

    • [eess.IV]PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
    Zhuojie Wu, Muyi Sun
    http://arxiv.org/abs/2108.11695v1

    • [eess.IV]Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
    Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee, Mehdi Hassan, Woong Kyo jeong
    http://arxiv.org/abs/2108.11720v1

    • [math.OA]Minimal Stinespring Representations of Operator Valued Multilinear Maps
    Erik Christensen
    http://arxiv.org/abs/2108.11778v1

    • [math.OC]Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality
    Damek Davis, Dmitriy Drusvyatskiy, Liwei Jiang
    http://arxiv.org/abs/2108.11832v1

    • [math.OC]The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size
    Hideaki Iiduka
    http://arxiv.org/abs/2108.11713v1

    • [math.PR]Large Large deviations for spatial telecommunication systems: The boolean model
    A. A. Boahen, K. Doku-Amponsah
    http://arxiv.org/abs/2108.11820v1

    • [math.ST]A Unified Approach for Constructing Confidence Intervals and Hypothesis Tests Using h-function
    Weizhen Wang
    http://arxiv.org/abs/2108.11578v1

    • [math.ST]Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
    Dominic Richards, Edgar Dobriban, Patrick Rebeschini
    http://arxiv.org/abs/2108.11872v1

    • [math.ST]Learning Partial Differential E
    1000
    quations in Reproducing Kernel Hilbert Spaces
    George Stepaniants
    http://arxiv.org/abs/2108.11580v1

    • [physics.data-an]Excess and Deficiency of Extreme Multidimensional Random Fields
    Luk R. Arnaut
    http://arxiv.org/abs/2108.11488v1

    • [physics.data-an]Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences
    Stephen B. Menary, Darren D. Price
    http://arxiv.org/abs/2108.11481v1

    • [physics.med-ph]Physics-informed neural networks for improving cerebral hemodynamics predictions
    Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
    http://arxiv.org/abs/2108.11498v1

    • [physics.soc-ph]Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control
    Caspar A. S. Pouw, Joris Willems, Frank van Schadewijk, Jasmin Thurau, Federico Toschi, Alessandro Corbetta
    http://arxiv.org/abs/2108.11719v1

    • [q-bio.QM]Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes
    Anwar Khan, Boreom Lee
    http://arxiv.org/abs/2108.11833v1

    • [q-bio.QM]Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model
    Thomas Thorne, Paul D. W. Kirk, Heather A. Harrington
    http://arxiv.org/abs/2108.11640v1

    • [quant-ph]Training a discrete variational autoencoder for generative chemistry and drug design on a quantum annealer
    A. I. Gircha, A. S. Boev, K. Avchaciov, P. O. Fedichev, A. K. Fedorov
    http://arxiv.org/abs/2108.11644v1

    • [stat.AP]A Data-driven Diagnostic Framework for Small Watersheds based on Markov Chain-Monte Carlo
    Xiao Peng, John D. Albertson
    http://arxiv.org/abs/2108.11470v1

    • [stat.AP]A Statistical Inference Framework to Assess Clinical Importance
    Zehua Zhou, Leslie J. Bisson, Jiwei Zhao
    http://arxiv.org/abs/2108.11589v1

    • [stat.AP]Bayesian Estimation of the Hydroxyl Radical Diffusion Coefficient at Low Temperature and High Pressure from Atomistic Molecular Dynamics
    Carter T. Butts, Rachel W. Martin
    http://arxiv.org/abs/2108.11511v1

    • [stat.AP]Distributed Soft Bayesian Additive Regression Trees
    Hao Ran, Yang Bai
    http://arxiv.org/abs/2108.11600v1

    • [stat.AP]Resource efficiency and Circular Economy in European SMEs: Investigating the role of green jobs and skills
    Francesca Bassi, Mariangela Guidolin
    http://arxiv.org/abs/2108.11610v1

    • [stat.AP]Trade-off between deep learning for species identification and inference about predator-prey co-occurrence: Reproducible R workflow integrating models in computer vision and ecological statistics
    Olivier Gimenez, Maëlis Kervellec, Jean-Baptiste Fanjul, Anna Chaine, Lucile Marescot, Yoann Bollet, Christophe Duchamp
    http://arxiv.org/abs/2108.11509v1

    • [stat.CO]Multivariate Lévy Adaptive B-Spline Regression
    Sewon Park, Jaeyong Lee
    http://arxiv.org/abs/2108.11863v1

    • [stat.ME]Inverse Sampling of Degenerate Datasets from a Linear Regression Line
    Albert S. Kim
    http://arxiv.org/abs/2108.11477v1

    • [stat.ME]On Soft Bayesian Additive Regression Trees and asynchronous longitudinal regression analysis
    Hao Ran, Yang Bai
    http://arxiv.org/abs/2108.11603v1

    • [stat.ME]Power considerations for generalized estimating equations analyses of four-level cluster randomized trials
    Xueqi Wang, Elizabeth L. Turner, John S. Preisser, Fan Li
    http://arxiv.org/abs/2108.11466v1

    • [stat.ME]Robust and Efficient Empirical Bayes Confidence Intervals using 今日学术视野(2021.8.28) - 图4-Divergence
    Daisuke Kurisu, Takuya Ishihara, Shonosuke Sugasawa
    http://arxiv.org/abs/2108.11551v1

    • [stat.ML]A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
    Yihao Hu, Fearghal O’Donncha, Paulito Palmes, Meredith Burke, Ramon Filgueira, Jon Grant
    http://arxiv.org/abs/2108.11875v1

    • [stat.ML]Deep learning based dictionary learning and tomographic image reconstruction
    Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem
    http://arxiv.org/abs/2108.11730v1

    • [stat.ML]Estimation of Riemannian distances between covariance operators and Gaussian processes
    Ha Quang Minh
    http://arxiv.org/abs/2108.11683v1

    • [stat.ML]The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks
    Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett
    http://arxiv.org/abs/2108.11489v1