astro-ph.IM - 仪器仪表和天体物理学方法
    cond-mat.mtrl-sci - 材料科学
    cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.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.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math-ph - 数学物理
    math.NA - 数值分析
    math.ST - 统计理论
    physics.hist-ph - 物理历史与哲学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-fin.ST - 统计金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习
    stat.OT - 其他统计学

    • [astro-ph.IM]SpecGrav — Detection of Gravitational Waves using Deep Learning
    • [cond-mat.mtrl-sci]Direct detection of plasticity onset through total-strain profile evolution
    • [cond-mat.stat-mech]Self-organized criticality in neural networks
    • [cs.AI]Adaptive Stress Testing for Adversarial Learning in a Financial Environment
    • [cs.AI]Bootstrapping Generalization of Process Models Discovered From Event Data
    • [cs.AI]CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
    • [cs.AI]Computational Benefits of Intermediate Rewards for Hierarchical Planning
    • [cs.AI]Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review
    • [cs.AI]Validation and Inference of Agent Based Models
    • [cs.AR]MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications
    • [cs.CL]A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
    • [cs.CL]Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
    • [cs.CL]CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems
    • [cs.CL]COMBO: a new module for EUD parsing
    • [cs.CL]Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test
    • [cs.CL]Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches
    • [cs.CL]HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text
    • [cs.CL]Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing
    • [cs.CL]Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
    • [cs.CL]Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
    • [cs.CL]POSLAN: Disentangling Chat with Positional and Language encoded Post Embeddings
    • [cs.CL]The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task
    • [cs.CL]Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation
    • [cs.CL]Vector Space Morphology with Linear Discriminative Learning
    • [cs.CL]Worry, coping and resignation — A repeated-measures study on emotional responses after a year in the pandemic
    • [cs.CR]Malware Classification Using Deep Boosted Learning
    • [cs.CR]Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy
    • [cs.CV]今日学术视野(2021.7.10) - 图1: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
    • [cs.CV]A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing
    • [cs.CV]Adiabatic Quantum Graph Matching with Permutation Matrix Constraints
    • [cs.CV]An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes
    • [cs.CV]An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
    • [cs.CV]Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
    • [cs.CV]Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning
    • [cs.CV]Causal affect prediction model using a facial image sequence
    • [cs.CV]Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
    • [cs.CV]Comparing ML based Segmentation Models on Jet Fire Radiation Zone
    • [cs.CV]Complete Scanning Application Using OpenCv
    • [cs.CV]Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
    • [cs.CV]EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
    • [cs.CV]Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
    • [cs.CV]Feature Pyramid Network for Multi-task Affective Analysis
    • [cs.CV]Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
    • [cs.CV]Image Resolution Susceptibility of Face Recognition Models
    • [cs.CV]Instance-Level Relative Saliency Ranking with Graph Reasoning
    • [cs.CV]Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
    • [cs.CV]Multi-Modality Task Cascade for 3D Object Detection
    • [cs.CV]Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
    • [cs.CV]NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry
    • [cs.CV]Optimizing Data Processing in Space for Object Detection in Satellite Imagery
    • [cs.CV]Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
    • [cs.CV]Relation-Based Associative Joint Location for Human Pose Estimation in Videos
    • [cs.CV]Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
    • [cs.CV]SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes
    • [cs.CV]Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
    • [cs.CV]TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
    • [cs.CV]Task Fingerprinting for Meta Learning in Biomedical Image Analysis
    • [cs.CV]Technical Report for Valence-Arousal Estimation in ABAW2 Challenge
    • [cs.CV]Tensor Methods in Computer Vision and Deep Learning
    • [cs.CV]Uncertainty-Aware Camera Pose Estimation from Points and Lines
    • [cs.CV]Uncertainty-aware Human Motion Prediction
    • [cs.CV]Use of Affective Visual Information for Summarization of Human-Centric Videos
    • [cs.CV]Video 3D Sampling for Self-supervised Representation Learning
    • [cs.CV]Weight Reparametrization for Budget-Aware Network Pruning
    • [cs.CY]Demystifying the Draft EU Artificial Intelligence Act
    • [cs.CY]Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry
    • [cs.CY]Social Media Marketing (SMM) A Strategic Tool for Developing Business for Tourism Companies
    • [cs.CY]The Price of Diversity
    • [cs.DC]A Multi-Protocol, Secure, and Dynamic Data Storage Integration Frameworkfor Multi-tenanted Science Gateway Middleware
    • [cs.DC]An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report
    • [cs.DC]Expanding IceCube GPU computing into the Clouds
    • [cs.DC]HTCondor data movement at 100 Gbps
    • [cs.DC]Persistent Software Combining
    • [cs.GT]Deep Learning for Two-Sided Matching
    • [cs.HC]A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare
    • [cs.IR]”Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
    • [cs.IR]A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
    • [cs.IR]Graph Neural Pre-training for Enhancing Recommendations using Side Information
    • [cs.IR]Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
    • [cs.IR]Rating and aspect-based opinion graph embeddings for explainable recommendations
    • [cs.IR]Unsupervised Proxy Selection for Session-based Recommender Systems
    • [cs.IT]Bounds on Eavesdropper Performance for a MIMO-NOMA Downlink Scheme
    • [cs.IT]Federated Learning with Downlink Device Selection
    • [cs.IT]How to measure things
    • [cs.IT]Information-theoretic characterization of the complete genotype-phenotype map of a complex pre-biotic world
    • [cs.IT]Molecular Communication with Passive Receivers in Anomalous Diffusion Channels
    • [cs.IT]On the 4-Adic Complexity of Quaternary Sequences with Ideal Autocorrelation
    • [cs.IT]PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding
    • [cs.IT]Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency
    • [cs.IT]Study of Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems with Coarsely Quantized Signals
    • [cs.LG]Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
    • [cs.LG]Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
    • [cs.LG]Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
    • [cs.LG]Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data
    • [cs.LG]Bag of Tricks for Neural Architecture Search
    • [cs.LG]CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
    • [cs.LG]CamTuner: Reinforcement-Learning based System for Camera Parameter Tuning to enhance Analytics
    • [cs.LG]Differentiable Random Access Memory using Lattices
    • [cs.LG]Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
    • [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
    • [cs.LG]Generalization Error of GAN from the Discriminator’s Perspective
    • [cs.LG]Imitation by Predicting Observations
    • [cs.LG]Impossibility results for fair representations
    • [cs.LG]In-Network Learning: Distributed Training and Inference in Networks
    • [cs.LG]IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
    • [cs.LG]Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
    • [cs.LG]Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
    • [cs.LG]Offline Meta-Reinforcement Learning with Online Self-Supervision
    • [cs.LG]On Margins and Derandomisation in PAC-Bayes
    • [cs.LG]Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
    • [cs.LG]Predicting Disease Progress with Imprecise Lab Test Results
    • [cs.LG]Probabilistic Time Series Forecasting with Implicit Quantile Networks
    • [cs.LG]Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
    • [cs.LG]Quadruplet Deep Metric Learning Model for Imbalanced Time-series Fault Diagnosis
    • [cs.LG]RMA: Rapid Motor Adaptation for Legged Robots
    • [cs.LG]Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
    • [cs.LG]SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
    • [cs.LG]Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles
    • [cs.LG]Sublinear Regret for Learning POMDPs
    • [cs.LG]The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning
    • [cs.LG]Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
    • [cs.NE]A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
    • [cs.NE]Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
    • [cs.NI]Management of Resource at the Network Edge for Federated Learning
    • [cs.RO]3D Neural Scene Representations for Visuomotor Control
    • [cs.RO]4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping
    • [cs.RO]Adaptation of Quadruped Robot Locomotion with Meta-Learning
    • [cs.RO]Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios
    • [cs.RO]Full-Body Torque-Level Non-linear Model Predictive Control for Aerial Manipulation
    • [cs.RO]Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving
    • [cs.RO]Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton
    • [cs.RO]Incorporating Gaze into Social Navigation
    • [cs.RO]LanguageRefer: Spatial-Language Model for 3D Visual Grounding
    • [cs.RO]Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments
    • [cs.RO]Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
    • [cs.RO]Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
    • [cs.SD]BumbleBee: A Transformer for Music
    • [cs.SI]Communication networks and group effectiveness: the case of English Wikipedia
    • [cs.SI]Deep Structural Point Process for Learning Temporal Interaction Networks
    • [cs.SI]Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
    • [cs.SI]Stochastic Opinion Dynamics for Interest Prediction in Social Networks
    • [cs.SI]User equilibrium traffic assignment: k paths subtracting-adding algorithm
    • [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
    • [eess.AS]Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
    • [eess.IV]A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images
    • [eess.IV]Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
    • [eess.IV]Deep Learning Based Image Retrieval in the JPEG Compressed Domain
    • [eess.IV]Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go?
    • [eess.IV]Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
    • [eess.IV]Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
    • [eess.IV]Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
    • [eess.IV]Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
    • [eess.IV]Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
    • [eess.IV]Regional Differential Information Entropy for Super-Resolution Image Quality Assessment
    • [eess.SP]A hybrid virtual sensing approach for approximating non-linear dynamic system behavior using LSTM networks
    • [eess.SP]Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks
    • [eess.SY]Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition
    • [math-ph]Graded Symmetry Groups: Plane and Simple
    • [math.NA]MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
    • [math.ST]Assigning Topics to Documents by Successive Projections
    • [math.ST]Asymptotic normality of robust 今日学术视野(2021.7.10) - 图2-estimators with convex penalty
    • [math.ST]Inadmissibility Results for the Selected Hazard Rates
    • [math.ST]Locally differentially private estimation of nonlinear functionals of discrete distributions
    • [math.ST]On the symmetric and skew-symmetric K-distributions
    • [math.ST]The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
    • [physics.hist-ph]Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories
    • [physics.soc-ph]Exploring the effect of social media and spatial characteristics during the COVID-19 pandemic in China
    • [physics.soc-ph]Quantifying the rise and fall of scientific fields
    • [q-bio.NC]Sleep syndromes onset detection based on automatic sleep staging algorithm
    • [q-fin.ST]Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
    • [quant-ph]Lower bounds on the error probability of multiple quantum channel discrimination by the Bures angle and the trace distance
    • [quant-ph]Quantum belief function
    • [stat.AP]A bayesian reanalysis of the phase III aducanumab (ADU) trial
    • [stat.AP]Bayesian model-based clustering for multiple network data
    • [stat.AP]The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations
    • [stat.AP]Traffic prediction at signalised intersections using Integrated Nested Laplace Approximation
    • [stat.ME]A Robust Approach to ARMA Factor Modeling
    • [stat.ME]Balancing Higher Moments Matters for Causal Estimation: Further Context for the Results of Setodji et al. (2017)
    • [stat.ME]Causal Structural Learning Via Local Graphs
    • [stat.ME]Compressibility Analysis of Asymptotically Mean Stationary Processes
    • [stat.ME]Consistency of the Maximal Information Coefficient Estimator
    • [stat.ME]ENNS: Variable Selection, Regression, Classification and Deep Neural Network for High-Dimensional Data
    • [stat.ME]Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics
    • [stat.ME]Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach
    • [stat.ME]Inference and forecasting for continuous-time integer-valued trawl processes and their use in financial economics
    • [stat.ME]Moment-based density and risk estimation from grouped summary statistics
    • [stat.ME]Multivariate functional group sparse regression: functional predictor selection
    • [stat.ME]Uncertainity in Ranking
    • [stat.ML]Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models
    • [stat.ML]Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables
    • [stat.ML]Federated Learning as a Mean-Field Game
    • [stat.ML]Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification
    • [stat.ML]Model Selection for Generic Contextual Bandits
    • [stat.OT]A nonBayesian view of Hempel’s paradox of the ravens

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

    • [astro-ph.IM]SpecGrav — Detection of Gravitational Waves using Deep Learning
    Hrithika Dodia, Himanshu Tandel, Lynette D’Mello
    http://arxiv.org/abs/2107.03607v1

    • [cond-mat.mtrl-sci]Direct detection of plasticity onset through total-strain profile evolution
    Stefanos Papanikolaou, Mikko J. Alava
    http://arxiv.org/abs/2107.03738v1

    • [cond-mat.stat-mech]Self-organized criticality in neural networks
    Mikhail I. Katsnelson, Vitaly Vanchurin, Tom Westerhout
    http://arxiv.org/abs/2107.03402v1

    • [cs.AI]Adaptive Stress Testing for Adversarial Learning in a Financial Environment
    Khalid El-Awady
    http://arxiv.org/abs/2107.03577v1

    • [cs.AI]Bootstrapping Generalization of Process Models Discovered From Event Data
    Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos
    http://arxiv.org/abs/2107.03876v1

    • [cs.AI]CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
    Dexun Li, Meghna Lowalekar, Pradeep Varakantham
    http://arxiv.org/abs/2107.03603v1

    • [cs.AI]Computational Benefits of Intermediate Rewards for Hierarchical Planning
    Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
    http://arxiv.org/abs/2107.03961v1

    • [cs.AI]Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review
    Ahmad Kamal BIN MOHD NOR, Srinivasa Rao PEDAPATI, Masdi MUHAMMAD
    http://arxiv.org/abs/2107.03869v1

    • [cs.AI]Validation and Inference of Agent Based Models
    D. Townsend
    http://arxiv.org/abs/2107.03619v1

    • [cs.AR]MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications
    Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar
    http://arxiv.org/abs/2107.03653v1

    • [cs.CL]A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
    Firoj Alam, Arid Hasan, Tanvir Alam, Akib Khan, Janntatul Tajrin, Naira Khan, Shammur Absar Chowdhury
    http://arxiv.org/abs/2107.03844v1

    • [cs.CL]Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
    Emily Dinan, Gavin Abercrombie, A. Stevie Bergman, Shannon Spruit, Dirk Hovy, Y-Lan Boureau, Verena Rieser
    http://arxiv.org/abs/2107.03451v1

    • [cs.CL]CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems
    Aadesh Gupta, Kaustubh D. Dhole, Rahul Tarway, Swetha Prabhakar, Ashish Shrivastava
    http://arxiv.org/abs/2107.03884v1

    • [cs.CL]COMBO: a new module for EUD parsing
    Mateusz Klimaszewski, Alina Wróblewska
    http://arxiv.org/abs/2107.03809v1

    • [cs.CL]Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test
    Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst
    http://arxiv.org/abs/2107.03448v1

    • [cs.CL]Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches
    Jean-Baptiste Camps, Chahan Vidal-Gorène, Marguerite Vernet
    http://arxiv.org/abs/2107.03450v1

    • [cs.CL]HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text
    Vivek Srivastava, Mayank Singh
    http://arxiv.org/abs/2107.03760v1

    • [cs.CL]Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing
    Melissa Roemmele
    http://arxiv.org/abs/2107.04007v1

    • [cs.CL]Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
    Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
    http://arxiv.org/abs/2107.03444v1

    • [cs.CL]Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil
    Huayun Zhang, Ke Shi, Nancy F. Chen
    http://arxiv.org/abs/2107.03675v1

    • [cs.CL]POSLAN: Disentangling Chat with Positional and Language encoded Post Embeddings
    Bhashithe Abeysinghe, Dhara Shah, Chris Freas, Robert Harrison, Rajshekhar Sunderraman
    http://arxiv.org/abs/2107.03529v1

    • [cs.CL]The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task
    Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu
    http://arxiv.org/abs/2107.02444v2

    • [cs.CL]Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation
    Yves Bestgen
    http://arxiv.org/abs/2107.03625v1

    • [cs.CL]Vector Space Morphology with Linear Discriminative Learning
    Yu-Ying Chuang, Mihi Kang, Xuefeng Luo, R. Harald Baayen
    http://arxiv.org/abs/2107.03950v1

    • [cs.CL]Worry, coping and resignation — A repeated-measures study on emotional responses after a year in the pandemic
    Maximilian Mozes, Isabelle van der Vegt, Bennett Kleinberg
    http://arxiv.org/abs/2107.03466v1

    • [cs.CR]Malware Classification Using Deep Boosted Learning
    Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Umme Zahoora, Asifullah Khan
    http://arxiv.org/abs/2107.04008v1

    • [cs.CR]Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy
    Jason R. C. Nurse, Nikki Williams, Emily Collins, Niki Panteli, John Blythe, Ben Koppelman
    http://arxiv.org/abs/2107.03907v1

    • [cs.CV]今日学术视野(2021.7.10) - 图3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
    Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
    http://arxiv.org/abs/2107.03453v1

    • [cs.CV]A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing
    Ningyuan Xu, Jiayan Zhuang, Yaojun Wu, Jiangjian Xiao
    http://arxiv.org/abs/2107.03640v1

    • [cs.CV]Adiabatic Quantum Graph Matching with Permutation Matrix Constraints
    Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, Michael Moeller
    http://arxiv.org/abs/2107.04032v1

    • [cs.CV]An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes
    Longyu Ma, Chiu-Wing Sham, Chun Yan Lo, Xinchao Zhong
    http://arxiv.org/abs/2107.03688v1

    • [cs.CV]An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
    Panagiotis Antoniadis, Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
    http://arxiv.org/abs/2107.03465v1

    • [cs.CV]Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
    Byeongjoon Noh, Wonjun Noh, David Lee, Hwasoo Yeo
    http://arxiv.org/abs/2107.03554v1

    • [cs.CV]Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning
    Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
    http://arxiv.org/abs/2107.03602v1

    • [cs.CV]Causal affect prediction model using a facial image sequence
    Geesung Oh, Euiseok Jeong, Sejoon Lim
    http://arxiv.org/abs/2107.03886v1

    • [cs.CV]Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
    Yikang Zhang, Zhuo Chen, Zhao Zhong
    http://arxiv.org/abs/2107.03815v1

    • [cs.CV]Comparing ML based Segmentation Models on Jet Fire Radiation Zone
    Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-Morales
    http://arxiv.org/abs/2107.03461v1

    • [cs.CV]Complete Scanning Application Using OpenCv
    Ayushe Gangal, Peeyush Kumar, Sunita Kumari
    http://arxiv.org/abs/2107.03700v1

    • [cs.CV]Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
    Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo
    http://arxiv.org/abs/2107.03665v1

    • [cs.CV]EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
    Subhranil Bagchi, Deepti R. Bathula
    http://arxiv.org/abs/2107.03983v1

    • [cs.CV]Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
    Luis Lucas, David Tomas, Jose Garcia-Rodriguez
    http://arxiv.org/abs/2107.03751v1

    • [cs.CV]Feature Pyramid Network for Multi-task Affective Analysis
    Ruian He, Zhen Xing, Bo Yan
    http://arxiv.org/abs/2107.03670v1

    • [cs.CV]Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
    Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf
    http://arxiv.org/abs/2107.03742v1

    • [cs.CV]Image Resolution Susceptibility of Face Recognition Models
    Martin Knoche, Stefan Hörmann, Gerhard Rigoll
    http://arxiv.org/abs/2107.03769v1

    • [cs.CV]Instance-Level Relative Saliency Ranking with Graph Reasoning
    Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao
    http://arxiv.org/abs/2107.03824v1

    • [cs.CV]Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
    Lei Liu, Li Liu
    http://arxiv.org/abs/2107.03758v1

    • [cs.CV]Multi-Modality Task Cascade for 3D Object Detection
    Jinhyung Park, Xinshuo Weng, Yunze Man, Kris Kitani
    http://arxiv.org/abs/2107.04013v1

    • [cs.CV]Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
    Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang
    http://arxiv.org/abs/2107.03609v1

    • [cs.CV]NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry
    Guangming Wang, Shuaiqi Ren, Hesheng Wang
    http://arxiv.org/abs/2107.03610v1

    • [cs.CV]Optimizing Data Processing in Space for Object Detection in Satellite Imagery
    Martina Lofqvist, José Cano
    http://arxiv.org/abs/2107.03774v1

    • [cs.CV]Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
    Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding
    http://arxiv.org/abs/2107.03708v1

    • [cs.CV]Relation-Based Associative Joint Location for Human Pose Estimation in Videos
    Yonghao Dang, Jianqin Yin
    http://arxiv.org/abs/2107.03591v1

    • [cs.CV]Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
    Jian Jia, Houjing Huang, Xiaotang Chen, Kaiqi Huang
    http://arxiv.org/abs/2107.03576v1

    • [cs.CV]SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes
    Shuang Deng, Qiulei Dong, Bo Liu
    http://arxiv.org/abs/2107.03601v1

    • [cs.CV]Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
    Jeffrey Gu, Serena Yeung
    http://arxiv.org/abs/2107.03552v1

    • [cs.CV]TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
    Xuejing Lei, Ganning Zhao, Kaitai Zhang, C. -C. Jay Kuo
    http://arxiv.org/abs/2107.04020v1

    • [cs.CV]Task Fingerprinting for Meta Learning in Biomedical Image Analysis
    Patrick Godau, Lena Maier-Hein
    http://arxiv.org/abs/2107.03949v1

    • [cs.CV]Technical Report for Valence-Arousal Estimation in ABAW2 Challenge
    Hong-Xia Xie, I-Hsuan Li, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng
    http://arxiv.org/abs/2107.03891v1

    • [cs.CV]Tensor Methods in Computer Vision and Deep Learning
    Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou
    http://arxiv.org/abs/2107.03436v1

    • [cs.CV]Uncertainty-Aware Camera Pose Estimation from Points and Lines
    Alexander Vakhitov, Luis Ferraz Colomina, Antonio Agudo, Francesc Moreno-Noguer
    http://arxiv.org/abs/2107.03890v1

    • [cs.CV]Uncertainty-aware Human Motion Prediction
    Pengxiang Ding, Jianqin Yin
    http://arxiv.org/abs/2107.03575v1

    • [cs.CV]Use of Affective Visual Information for Summarization of Human-Centric Videos
    Berkay Köprü, Engin Erzin
    http://arxiv.org/abs/2107.03783v1

    • [cs.CV]Video 3D Sampling for Self-supervised Representation Learning
    Wei Li, Dezhao Luo, Bo Fang, Yu Zhou, Weiping Wang
    http://arxiv.org/abs/2107.03578v1

    • [cs.CV]Weight Reparametrization for Budget-Aware Network Pruning
    Robin Dupont, Hichem Sahbi, Guillaume Michel
    http://arxiv.org/abs/2107.03909v1

    • [cs.CY]Demystifying the Draft EU Artificial Intelligence Act
    Michael Veale, Frederik Zuiderveen Borgesius
    http://arxiv.org/abs/2107.03721v1

    • [cs.CY]Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry
    Rahime Belen Saglam, Jason R. C. Nurse, Duncan Hodges
    http://arxiv.org/abs/2107.03959v1

    • [cs.CY]Social Media Marketing (SMM) A Strategic Tool for Developing Business for Tourism Companies
    Dr. Nalini Palaniswamy
    http://arxiv.org/abs/2107.03895v1

    • [cs.CY]The Price of Diversity
    Hari Bandi, Dimitris Bertsimas
    http://arxiv.org/abs/2107.03900v1

    • [cs.DC]A Multi-Protocol, Secure, and Dynamic Data Storage Integration Frameworkfor Multi-tenanted Science Gateway Middleware
    Dimuthu Wannipurage, Isuru Ranawaka, Eroma Abeysinghe, Marcus Christie, Suresh Marru, Marlon Pierce
    http://arxiv.org/abs/2107.03882v1

    • [cs.DC]An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report
    Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim
    http://arxiv.org/abs/2107.03467v1

    • [cs.DC]Expanding IceCube GPU computing into the Clouds
    Igor Sfiligoi, Shava Smallen, Frank Würthwein, Nicole Wolter, David Schultz, Benedikt Riedel
    http://arxiv.org/abs/2107.03963v1

    • [cs.DC]HTCondor data movement at 100 Gbps
    Igor Sfiligoi, Frank Würthwein, Thomas DeFanti, John Graham
    http://arxiv.org/abs/2107.03947v1

    • [cs.DC]Persistent Software Combining
    Panagiota Fatourou, Nikolaos D. Kallimanis, Eleftherios Kosmas
    http://arxiv.org/abs/2107.03492v1

    • [cs.GT]Deep Learning for Two-Sided Matching
    Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott D. Kominers, David C. Parkes
    http://arxiv.org/abs/2107.03427v1

    • [cs.HC]A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare
    Devansh Saxena, Karla Badillo-Urquiola, Pamela Wisniewski, Shion Guha
    http://arxiv.org/abs/2107.03487v1

    • [cs.IR]“Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
    Patrick John Chia, Bingqing Yu, Jacopo Tagliabue
    http://arxiv.org/abs/2107.03256v2

    • [cs.IR]A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
    http://arxiv.org/abs/2107.03415v1

    • [cs.IR]Graph Neural Pre-training for Enhancing Recommendations using Side Information
    Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
    http://arxiv.org/abs/2107.03936v1

    • [cs.IR]Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
    Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
    http://arxiv.org/abs/2107.03813v1

    • [cs.IR]Rating and aspect-based opinion graph embeddings for explainable recommendations
    Iván Cantador, Andrés Carvallo, Fernando Diez
    http://arxiv.org/abs/2107.03385v1

    • [cs.IR]Unsupervised Proxy Selection for Session-based Recommender Systems
    Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
    http://arxiv.org/abs/2107.03564v1

    • [cs.IT]Bounds on Eavesdropper Performance for a MIMO-NOMA Downlink Scheme
    Jennifer Chakravarty, Oliver Johnson, Robert Piechocki
    http://arxiv.org/abs/2107.03765v1

    • [cs.IT]Federated Learning with Downlink Device Selection
    Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor
    http://arxiv.org/abs/2107.03510v1

    • [cs.IT]How to measure things
    Joel R. Peck, David Waxman
    http://arxiv.org/abs/2107.03789v1

    • [cs.IT]Information-theoretic characterization of the complete genotype-phenotype map of a complex pre-biotic world
    Nitash C G, Christoph Adami
    http://arxiv.org/abs/2107.03522v1

    • [cs.IT]Molecular Communication with Passive Receivers in Anomalous Diffusion Channels
    Dung Phuong Trinh, Youngmin Jeong, Sang-Hyo Kim
    http://arxiv.org/abs/2107.03840v1

    • [cs.IT]On the 4-Adic Complexity of Quaternary Sequences with Ideal Autocorrelation
    Minghui Yang, Shiyuan Qiang, Xiaoyan Jing, Keqin Feng, Dongdai Lin
    http://arxiv.org/abs/2107.03574v1

    • [cs.IT]PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding
    Zhaorui Wang, Ling Liu, Shengli Zhang, Pengpeng Dong, Qing Yang, Taotao Wang
    http://arxiv.org/abs/2107.03605v1

    • [cs.IT]Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency
    Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn Ottersten
    http://arxiv.org/abs/2107.03434v1

    • [cs.IT]Study of Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems with Coarsely Quantized Signals
    S. Pinto, R. de Lamare
    http://arxiv.org/abs/2107.03969v1

    • [cs.LG]Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
    Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
    http://arxiv.org/abs/org/abs/2107.04000v1

    • [cs.LG]Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
    Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
    http://arxiv.org/abs/2107.04000v1

    • [cs.LG]Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
    Luong-Ha Nguyen, James-A. Goulet
    http://arxiv.org/abs/2107.03759v1

    • [cs.LG]Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data
    Shashidhar Veerappa Kudari, Akshaykumar Gunari, Adarsh Jamadandi, Ramesh Ashok Tabib, Uma Mudenagudi
    http://arxiv.org/abs/2107.03852v1

    • [cs.LG]Bag of Tricks for Neural Architecture Search
    Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter
    http://arxiv.org/abs/2107.03719v1

    • [cs.LG]CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
    Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
    http://arxiv.org/abs/2107.03502v1

    • [cs.LG]CamTuner: Reinforcement-Learning based System for Camera Parameter Tuning to enhance Analytics
    Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat T. Chakradhar
    http://arxiv.org/abs/2107.03964v1

    • [cs.LG]Differentiable Random Access Memory using Lattices
    Adam P. Goucher, Rajan Troll
    http://arxiv.org/abs/2107.03474v1

    • [cs.LG]Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
    Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern Eskofier
    http://arxiv.org/abs/2107.03704v1

    • [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
    Elias Frantar, Eldar Kurtic, Dan Alistarh
    http://arxiv.org/abs/2107.03356v2

    • [cs.LG]Generalization Error of GAN from the Discriminator’s Perspective
    Hongkang Yang, Weinan E
    http://arxiv.org/abs/2107.03633v1

    • [cs.LG]Imitation by Predicting Observations
    Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne
    http://arxiv.org/abs/2107.03851v1

    • [cs.LG]Impossibility results for fair representations
    Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan
    http://arxiv.org/abs/2107.03483v1

    • [cs.LG]In-Network Learning: Distributed Training and Inference in Networks
    Matei Moldoveanu, Abdellatif Zaidi
    http://arxiv.org/abs/2107.03433v1

    • [cs.LG]IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
    Muhammed Sit, Bong-Chul Seo, Ibrahim Demir
    http://arxiv.org/abs/2107.03432v1

    • [cs.LG]Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
    Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
    http://arxiv.org/abs/2107.03996v1

    • [cs.LG]Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
    Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko
    http://arxiv.org/abs/2107.03903v1

    • [cs.LG]Offline Meta-Reinforcement Learning with Online Self-Supervision
    Vitchyr H. Pong, Ashvin Nair, Laura Smith, Catherine Huang, Sergey Levine
    http://arxiv.org/abs/2107.03974v1

    • [cs.LG]On Margins and Derandomisation in PAC-Bayes
    Felix Biggs, Benjamin Guedj
    http://arxiv.org/abs/2107.03955v1

    • [cs.LG]Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
    Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener
    http://arxiv.org/abs/2107.03806v1

    • [cs.LG]Predicting Disease Progress with Imprecise Lab Test Results
    Mei Wang, Jianwen Su, Zhihua Lin
    http://arxiv.org/abs/2107.03620v1

    • [cs.LG]Probabilistic Time Series Forecasting with Implicit Quantile Networks
    Adèle Gouttes, Kashif Rasul, Mateusz Koren, Johannes Stephan, Tofigh Naghibi
    http://arxiv.org/abs/2107.03743v1

    • [cs.LG]Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
    Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow
    http://arxiv.org/abs/2107.03690v1

    • [cs.LG]Quadruplet Deep Metric Learning Model for Imbalanced Time-series Fault Diagnosis
    Xingtai Gui, Jiyang Zhang
    http://arxiv.org/abs/2107.03786v1

    • [cs.LG]RMA: Rapid Motor Adaptation for Legged Robots
    Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik
    http://arxiv.org/abs/2107.04034v1

    • [cs.LG]Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
    Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel Leon Espinosa
    http://arxiv.org/abs/2107.03423v1

    • [cs.LG]SSSE: Efficiently Erasing Samples from Trained Machine Learning Models
    Alexandra Peste, Dan Alistarh, Christoph H. Lampert
    http://arxiv.org/abs/2107.03860v1

    • [cs.LG]Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles
    Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
    http://arxiv.org/abs/2107.03825v1

    • [cs.LG]Sublinear Regret for Learning POMDPs
    Yi Xiong, Ningyuan Chen, Xuefeng Gao, Xiang Zhou
    http://arxiv.org/abs/2107.03635v1

    • [cs.LG]The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning
    Kundu, Debasish
    http://arxiv.org/abs/2107.03729v1

    • [cs.LG]Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
    Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
    http://arxiv.org/abs/2107.03919v1

    • [cs.NE]A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
    Philipp Plank, Arjun Rao, Andreas Wild, Wolfgang Maass
    http://arxiv.org/abs/2107.03992v1

    • [cs.NE]Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
    Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
    http://arxiv.org/abs/2107.03146v2

    • [cs.NI]Management of Resource at the Network Edge for Federated Learning
    Silvana Trindade, Luiz F. Bittencourt, Nelson L. S. da Fonseca
    http://arxiv.org/abs/2107.03428v1

    • [cs.RO]3D Neural Scene Representations for Visuomotor Control
    Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba
    http://arxiv.org/abs/2107.04004v1

    • [cs.RO]4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping
    Shuji Oishi, Kenji Koide, Masashi Yokozuka, Atsuhiko Banno
    http://arxiv.org/abs/2107.03606v1

    • [cs.RO]Adaptation of Quadruped Robot Locomotion with Meta-Learning
    Arsen Kuzhamuratov, Dmitry Sorokin, Alexander Ulanov, A. I. Lvovsky
    http://arxiv.org/abs/2107.03741v1

    • [cs.RO]Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios
    Kshitij Jindal, Anthony Wang, Dinesh Thakur, Alex Zhou, Vojtech Spurny, Viktor Walter, George Broughton, Tomas Krajnik, Martin Saska, Giuseppe Loianno
    http://arxiv.org/abs/2107.03582v1

    • [cs.RO]Full-Body Torque-Level Non-linear Model Predictive Control for Aerial Manipulation
    Josep Martí-Saumell, Joan Solà, Angel Santamaria-Navarro, Juan Andrade-Cetto
    http://arxiv.org/abs/2107.03722v1

    • [cs.RO]Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving
    Xiaoyu Mo, Yang Xing, Chen Lv
    http://arxiv.org/abs/2107.03663v1

    • [cs.RO]Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton
    Vittorio Lippi, Cristian Camardella, Alessandro Filippeschi, Francesco Porcini
    http://arxiv.org/abs/2107.03746v1

    • [cs.RO]Incorporating Gaze into Social Navigation
    Justin Hart, Reuth Mirsky, Xuesu Xiao, Peter Stone
    http://arxiv.org/abs/2107.04001v1

    • [cs.RO]LanguageRefer: Spatial-Language Model for 3D Visual Grounding
    Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox
    http://arxiv.org/abs/2107.03438v1

    • [cs.RO]Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments
    Riccardo Polvara, Francesco Del Duchetto, Gerhard Neumann, Marc Hanheide
    http://arxiv.org/abs/2107.03850v1

    • [cs.RO]Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
    Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu
    http://arxiv.org/abs/2107.03600v1

    • [cs.RO]Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
    Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmacek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
    http://arxiv.org/abs/2107.03685v1

    • [cs.SD]BumbleBee: A Transformer for Music
    Lucas Fenaux, Maria Juliana Quintero
    http://arxiv.org/abs/2107.03443v1

    • [cs.SI]Communication networks and group effectiveness: the case of English Wikipedia
    Agnieszka Rychwalska, Szymon Talaga, Karolina Ziembowicz, Dariusz Jemielniak
    http://arxiv.org/abs/2107.03506v1

    • [cs.SI]Deep Structural Point Process for Learning Temporal Interaction Networks
    Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang
    http://arxiv.org/abs/2107.03573v1

    • [cs.SI]Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
    Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
    http://arxiv.org/abs/2107.03767v1

    • [cs.SI]Stochastic Opinion Dynamics for Interest Prediction in Social Networks
    Marios Papachristou, Dimitris Fotakis
    http://arxiv.org/abs/2107.03449v1

    • [cs.SI]User equilibrium traffic assignment: k paths subtracting-adding algorithm
    Milos Nikolic, Dusan Teodorovic
    http://arxiv.org/abs/2107.04018v1

    • [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
    Huahuan Zheng, Wenjie Peng, Zhijian Ou, Jinsong Zhang
    http://arxiv.org/abs/2107.03007v2

    • [eess.AS]Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
    Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner
    http://arxiv.org/abs/2107.03985v1

    • [eess.IV]A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images
    Shuang Liang
    http://arxiv.org/abs/2107.03904v1

    • [eess.IV]Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
    Jianing Wang, Dingjie Su, Yubo Fan, Srijata Chakravorti, Jack H. Noble, Be-noit M. Dawant
    http://arxiv.org/abs/2107.03987v1

    • [eess.IV]Deep Learning Based Image Retrieval in the JPEG Compressed Domain
    Shrikant Temburwar, Bulla Rajesh, Mohammed Javed
    http://arxiv.org/abs/2107.03648v1

    • [eess.IV]Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go?
    Daniel Bar-David, Laura Bar-David, Yinon Shapira, Rina Leibu, Dalia Dori, Ronit Schneor, Anath Fischer, Shiri Soudry
    http://arxiv.org/abs/2107.03651v1

    • [eess.IV]Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
    Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir
    http://arxiv.org/abs/2107.03901v1

    • [eess.IV]Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
    Shuo Wang, Chen Qin, Nicolo Savioli, Chen Chen, Declan O’Regan, Stuart Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
    http://arxiv.org/abs/2107.03887v1

    • [eess.IV]Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
    Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frederic Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sebastien Ourselin, Jam Deprest, Tom Vercauteren
    http://arxiv.org/abs/2107.03846v1

    • [eess.IV]Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
    Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
    http://arxiv.org/abs/org/abs/2107.03442v1

    • [eess.IV]Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
    Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson
    http://arxiv.org/abs/2107.03442v1

    • [eess.IV]Regional Differential Information Entropy for Super-Resolution Image Quality Assessment
    Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng
    http://arxiv.org/abs/2107.03642v1

    • [eess.SP]A hybrid virtual sensing approach for approximating non-linear dynamic system behavior using LSTM networks
    Leonhard Heindel, Peter Hantschke, Markus Kästner
    http://arxiv.org/abs/2107.03645v1

    • [eess.SP]Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks
    Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain
    http://arxiv.org/abs/2107.03520v1

    • [eess.SY]Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition
    Lantian Zhang, Yanlong Zhao, Lei Guo
    http://arxiv.org/abs/2107.03588v1

    • [math-ph]Graded Symmetry Groups: Plane and Simple
    Martin Roelfs, Steven De Keninck
    http://arxiv.org/abs/2107.03771v1

    • [math.NA]MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
    Lulu Zhang, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu, Zheng Ma
    http://arxiv.org/abs/2107.03673v1

    • [math.ST]Assigning Topics to Documents by Successive Projections
    Olga Klopp, Maxim Panov, Suzanne Sigalla, Alexandre Tsybakov
    http://arxiv.org/abs/2107.03684v1

    • [math.ST]Asymptotic normality of robust 今日学术视野(2021.7.10) - 图4-estimators with convex penalty
    Pierre C Bellec, Yiwei Shen, Cun-Hui Zhang
    http://arxiv.org/abs/2107.03826v1

    • [math.ST]Inadmissibility Results for the Selected Hazard Rates
    Brijesh Kumar Jha, Ajaya Kumar Mahapatra, Suchandan Kayal
    http://arxiv.org/abs/2107.03848v1

    • [math.ST]Locally differentially private estimation of nonlinear functionals of discrete distributions
    Cristina Butucea, Yann Issartel
    http://arxiv.org/abs/2107.03940v1

    • [math.ST]On the symmetric and skew-symmetric K-distributions
    Stylianos E. Trevlakis, Nestor D. Chatzidiamantis, George K. Karagiannidis
    http://arxiv.org/abs/2107.02092v2

    • [math.ST]The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property
    Iain Carmichael
    http://arxiv.org/abs/2107.03494v1

    • [physics.hist-ph]Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories
    Leander Vignero, Sylvia Wenmackers
    http://arxiv.org/abs/2107.03772v1

    • [physics.soc-ph]Exploring the effect of social media and spatial characteristics during the COVID-19 pandemic in China
    Xiu-Xiu Zhan, Kaiyue Zhang, Lun Ge, Junming Huang, Zinan Zhang, Lu Wei, Gui-Quan Sun, Chuang Liu, Zi-Ke Zhang
    http://arxiv.org/abs/2107.03766v1

    • [physics.soc-ph]Quantifying the rise and fall of scientific fields
    Chakresh Singh, Emma Barme, Robert Ward, Liubov Tupikina, Marc Santolini
    http://arxiv.org/abs/2107.03749v1

    • [q-bio.NC]Sleep syndromes onset detection based on automatic sleep staging algorithm
    Tim Cvetko, Tinkara Robek
    http://arxiv.org/abs/2107.03387v1

    • [q-fin.ST]Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
    Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
    http://arxiv.org/abs/2107.03926v1

    • [quant-ph]Lower bounds on the error probability of multiple quantum channel discrimination by the Bures angle and the trace distance
    Ryo Ito, Ryuhei Mori
    http://arxiv.org/abs/2107.03948v1

    • [quant-ph]Quantum belief function
    Qianli Zhou, Guojing Tian, Yong Deng
    http://arxiv.org/abs/2107.03930v1

    • [stat.AP]A bayesian reanalysis of the phase III aducanumab (ADU) trial
    Tommaso Costa, Franco Cauda
    http://arxiv.org/abs/2107.03686v1

    • [stat.AP]Bayesian model-based clustering for multiple network data
    Anastasia Mantziou, Simon Lunagomez, Robin Mitra
    http://arxiv.org/abs/2107.03431v1

    • [stat.AP]The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations
    Tianchen Qian, Ashley E. Walton, Linda M. Collins, Predrag Klasnja, Stephanie T. Lanza, Inbal Nahum-Shani, Mashifiqui Rabbi, Michael A. Russell, Maureen A. Walton, Hyesun Yoo, Susan A. Murphy
    http://arxiv.org/abs/2107.03544v1

    • [stat.AP]Traffic prediction at signalised intersections using Integrated Nested Laplace Approximation
    D. Townsend, C. Nel
    http://arxiv.org/abs/2107.03617v1

    • [stat.ME]A Robust Approach to ARMA Factor Modeling
    Lucia Falconi, Augusto Ferrante, Mattia Zorzi
    http://arxiv.org/abs/2107.03873v1

    • [stat.ME]Balancing Higher Moments Matters for Causal Estimation: Further Context for the Results of Setodji et al. (2017)
    Melody Y. Huang, Brian G. Vegetabile, Lane F. Burgette, Claude Setodji, Beth Ann Griffin
    http://arxiv.org/abs/2107.03922v1

    • [stat.ME]Causal Structural Learning Via Local Graphs
    Wenyu Chen, Mathias Drton, Ali Shojaie
    http://arxiv.org/abs/2107.03597v1

    • [stat.ME]Compressibility Analysis of Asymptotically Mean Stationary Processes
    Jorge F. Silva
    http://arxiv.org/abs/2107.03975v1

    • [stat.ME]Consistency of the Maximal Information Coefficient Estimator
    John Lazarsfeld, Aaron Johnson
    http://arxiv.org/abs/2107.03836v1

    • [stat.ME]ENNS: Variable Selection, Regression, Classification and Deep Neural Network for High-Dimensional Data
    Kaixu Yang, Tapabrata Maiti
    http://arxiv.org/abs/2107.03430v1

    • [stat.ME]Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics
    Ryan Giordano, Runjing Liu, Tamara Broderick, Michael I. ~Jordan
    http://arxiv.org/abs/2107.03584v1

    • [stat.ME]Identifying optimally cost-effective dynamic treatment regimes with a Q-learning approach
    Nicholas Illenberger, Andrew J. Spieker, Nandita Mitra
    http://arxiv.org/abs/2107.03441v1

    • [stat.ME]Inference and forecasting for continuous-time integer-valued trawl processes and their use in financial economics
    Mikkel Bennedsen, Asger Lunde, Neil Shephard, Almut E. D. Veraart
    http://arxiv.org/abs/2107.03674v1

    • [stat.ME]Moment-based density and risk estimation from grouped summary statistics
    Philippe Lambert
    http://arxiv.org/abs/2107.03883v1

    • [stat.ME]Multivariate functional group sparse regression: functional predictor selection
    Ali Mahzarnia, Jun Song
    http://arxiv.org/abs/2107.02146v2

    • [stat.ME]Uncertainity in Ranking
    Justin Rising
    http://arxiv.org/abs/2107.03459v1

    • [stat.ML]Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models
    Felix L. Rios, Giusi Moffa, Jack Kuipers
    http://arxiv.org/abs/2107.03863v1

    • [stat.ML]Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables
    Arber Qoku, Florian Buettner
    http://arxiv.org/abs/2107.03730v1

    • [stat.ML]Federated Learning as a Mean-Field Game
    Arash Mehrjou
    http://arxiv.org/abs/2107.03770v1

    • [stat.ML]Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification
    Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee
    http://arxiv.org/abs/2107.03920v1

    • [stat.ML]Model Selection for Generic Contextual Bandits
    Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
    http://arxiv.org/abs/2107.03455v1

    • [stat.OT]A nonBayesian view of Hempel’s paradox of the ravens
    Yudi Pawitan
    http://arxiv.org/abs/2107.02522v2