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]: 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 -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
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• [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]: 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 -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