cond-mat.stat-mech - 统计数学
    cs.AI - 人工智能
    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.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.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    hep-ph - 高能物理现象学
    math.CO - 组合数学
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-fin.PM - 投资组合管理
    q-fin.RM - 风险管理
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]On the nonlinear stochastic dynamics of a continuous system with discrete attached elements
    • [cs.AI]Efficient Temporal Piecewise-Linear Numeric Planning with Lazy Consistency Checking
    • [cs.AI]Entropy-based Discovery of Summary Causal Graphs in Time Series
    • [cs.AI]Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
    • [cs.AI]Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
    • [cs.AI]To do or not to do: finding causal relations in smart homes
    • [cs.AI]Variational Gaussian Topic Model with Invertible Neural Projections
    • [cs.CL]A Non-Linear Structural Probe
    • [cs.CL]A Streaming End-to-End Framework For Spoken Language Understanding
    • [cs.CL]ASQ: Automatically Generating Question-Answer Pairs using AMRs
    • [cs.CL]Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
    • [cs.CL]Fact-driven Logical Reasoning
    • [cs.CL]Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Apps
    • [cs.CL]Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
    • [cs.CL]Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
    • [cs.CL]Improving Generation and Evaluation of Visual Stories v
    1000
    ia Semantic Consistency
    • [cs.CL]Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
    • [cs.CL]Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
    • [cs.CL]Pretrained Language Models for Text Generation: A Survey
    • [cs.CL]Revisiting the Negative Data of Distantly Supervised Relation Extraction
    • [cs.CL]Rule Augmented Unsupervised Constituency Parsing
    • [cs.CL]Semantic Representation for Dialogue Modeling
    • [cs.CL]Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws
    • [cs.CL]Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
    • [cs.CL]Training Bi-Encoders for Word Sense Disambiguation
    • [cs.CL]Uncertainty-Aware Abstractive Summarization
    • [cs.CL]Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
    • [cs.CR]A Rule Mining-Based Advanced Persistent Threats Detection System
    • [cs.CR]Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection
    • [cs.CR]Pravuil: Global Consensus for a United World
    • [cs.CR]Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process
    • [cs.CV]3D Human Pose Regression using Graph Convolutional Network
    • [cs.CV]A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
    • [cs.CV]Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
    • [cs.CV]Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
    • [cs.CV]An Efficient Training Approach for Very Large Scale Face Recognition
    • [cs.CV]An Optical physics inspired CNN approach for intrinsic image decomposition
    • [cs.CV]An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
    • [cs.CV]Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems
    • [cs.CV]Backdoor Attacks on Self-Supervised Learning
    • [cs.CV]Behind the leaves — Estimation of occluded grapevine berries with conditional generative adversarial networks
    • [cs.CV]Combining Transformer Generators with Convolutional Discriminators
    • [cs.CV]Compositional Fine-Grained Low-Shot Learning
    • [cs.CV]Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
    • [cs.CV]DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
    • [cs.CV]Direct Simultaneous Multi-Image Registration
    • [cs.CV]Driving-Signal Aware Full-Body Avatars
    • [cs.CV]EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
    • [cs.CV]Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
    • [cs.CV]GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers
    • [cs.CV]Generalisable and distinctive 3D local deep descriptors for point cloud registration
    • [cs.CV]Global Context for improving recognition of Online Handwritten Mathematical Expressions
    • [cs.CV]Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
    • [cs.CV]Guidance and Teaching Network for Video Salient Object Detection
    • [cs.CV]Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
    • [cs.CV]High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy
    • [cs.CV]IDEAL: Independent Domain Embedding Augmentation Learning
    • [cs.CV]Intriguing Properties of Vision Transformers
    • [cs.CV]Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
    • [cs.CV]LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
    • [cs.CV]Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
    • [cs.CV]Multi-color balance for color constancy
    • [cs.CV]Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
    • [cs.CV]Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
    • [cs.CV]Opening Deep Neural Networks with Generative Models
    • [cs.CV]Pyramid Fusion Dark Channel Prior for Single Image Dehazing
    • [cs.CV]Robust Unsupervised Multi-Object Tracking in Noisy Environments
    • [cs.CV]Rotation invariant CNN using scattering transform for image classification
    • [cs.CV]Safety Metrics for Semantic Segmentation in Autonomous Driving
    • [cs.CV]Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses
    • [cs.CV]Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions
    • [cs.CV]Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional
    • [cs.CV]VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
    • [cs.CV]ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
    • [cs.CV]Visual representation of negation: Real world data analysis on comic image design
    • [cs.CY]AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
    • [cs.CY]Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing
    • [cs.DC]Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants
    • [cs.DC]Conduit: A C++ Library for Best-effort High Performance Computing
    • [cs.DC]Contention-Aware GPU Partitioning and Task-to-Partition Allocation for Real-Time Workloads
    • [cs.DC]Towards an Arrow-native Storage System
    • [cs.GT]Fair and Efficient Resource Allocation with Partial Information
    • [cs.IR]A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction
    • [cs.IR]A Load Balanced Recommendation Approach
    • [cs.IR]De-Biased Modelling of Search Click Behavior with Reinforcement Learning
    • [cs.IR]Diversifying Multi-aspect Search Results Using Simpson’s Diversity Index
    • [cs.IR]RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores
    • [cs.IR]RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search
    • [cs.IR]Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
    • [cs.IT]A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO
    • [cs.IT]A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems
    • [cs.IT]An Algorithm for Grant-Free Random Access in Cell-Free Massive MIMO
    • [cs.IT]Measure Concentration on the OFDM-based Random Access Channel
    • [cs.IT]New Construction of Z-Complementary Code Sets and Mutually Orthogonal Complementary Sequence Sets
    • [cs.IT]Sparse Layered MIMO with Iterative Detection
    • [cs.IT]Unified Expression of Achievable Region in Privacy-Constrained Source Coding
    • [cs.LG]A Precise Performance Analysis of Support Vector Regression
    • [cs.LG]An Explainable Classification Model for Chronic Kidney Disease Patients
    • [cs.LG]AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
    • [cs.LG]Anomaly Mining — Past, Present and Future
    • [cs.LG]Certification of Iterative Predictions in Bayesian Neural Networks
    • [cs.LG]Data-Free Knowledge Distillation for Heterogeneous Federated Learning
    • [cs.LG]Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
    • [cs.LG]Definite Non-Ancestral Relations and Structure Learning
    • [cs.LG]Distinguishing artefacts: evaluating the saturation point of convolutional neural networks
    • [cs.LG]Dynamic Filters in Graph Convolutional Neural Networks
    • [cs.LG]Elliptical Ordinal Embedding
    • [cs.LG]Escaping Saddle Points with Compressed SGD
    • [cs.LG]Evaluating Robustness over High Level Driving Instruction for Autonomous Driving
    • [cs.LG]Explainable Machine Learning with Prior Knowledge: An Overview
    • [cs.LG]Exploring Robust Misclassifications of Neural Networks to Enhance Adversarial Attacks
    • [cs.LG]GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection
    • [cs.LG]Generalization Error Bound for Hyperbolic Ordinal Embedding
    • [cs.LG]Low-Memory Implementations of Ridge Solutions for Broad Learning System with Incremental Learning
    • [cs.LG]Maximum and Leaky Maximum Propagation
    • [cs.LG]Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
    • [cs.LG]Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units
    • [cs.LG]On Explaining Random Forests with SAT
    • [cs.LG]On Instrumental Variable Regression for Deep Offline Policy Evaluation
    • [cs.LG]Probabilistic Sufficient Explanations
    • [cs.LG]ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
    • [cs.LG]Sheaves as a Framework for Understanding and Interpreting Model Fit
    • [cs.LG]Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
    • [cs.LG]Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
    • [cs.LG]Word-level Text Highlighting of Medical Texts forTelehealth Services
    • [cs.LG]Yes We Care! — Certification for Machine Learning Methods through the Care Label Framework
    • [cs.NE]On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
    • [cs.RO]A Localization and Navigation Method for an In-pipe Robot in Water Distribution System through Wireless Control towards Long-Distance Inspection
    • [cs.RO]A Reinforcement Learning based Path Planning Approach in 3D Environment
    • [cs.RO]A Review on Trust in Human-Robot Interaction
    • [cs.RO]A Self-Guided Approach for Navigation in a Minimalistic Foraging Robotic Swarm
    • [cs.RO]Bringing A Robot Simulator to the SCAMP Vision System
    • [cs.RO]Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
    • [cs.RO]Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
    • [cs.RO]Language Understanding for Field and Service Robots in a Priori Unknown Environments
    • [cs.RO]Learning Modular Robot Control Policies
    • [cs.RO]Learning Visible Connectivity Dynamics for Cloth Smoothing
    • [cs.RO]Reduced-Order-Model-Based Feedback Design for Thruster-Assisted Legged Locomotion
    • [cs.RO]The Effectiveness of Kinematic Constraints on The Accuracy of Trajectory Profile of Human Walking Using PSPB Technique
    • [cs.RO]Waiting Tables as a Robot Planning Problem
    • [cs.SD]LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
    • [cs.SI]An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices — A Study of 80 Million Tweets
    • [cs.SI]Efficient hypothesis testing for community detection in heterogeneous networks by graph dissimilarity
    • [cs.SI]Measuring the impact of spammers on e-mail and Twitter networks
    • [cs.SI]The Strategy Behind Anti-Vaxxers’ Reply Behavior on Social Media
    • [cs.SI]The digital footprint of innovators: Using email to detect the most creative people in your organization
    • [cs.SI]The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups
    • [eess.IV]AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
    • [eess.IV]An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
    • [eess.IV]Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
    • [eess.IV]Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
    • [eess.IV]Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
    • [eess.IV]Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection
    • [eess.IV]Helsinki Deblur Challenge 2021: description of photographic data
    • [eess.IV]Self-learning for weakly supervised Gleason grading of local patterns
    • [eess.IV]WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
    • [eess.SP]Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model
    • [eess.SP]Covariance-Free Sparse Bayesian Learning
    • [eess.SP]Deep Learning-based Implicit CSI Feedback in Massive MIMO
    • [hep-ph]Deep-Learned Event Variables for Collider Phenomenology
    • [math.CO]Twisted Linearized Reed-Solomon Codes: A Skew Polynomial Framework
    • [math.OC]Lecture notes on non-convex algorithms for low-rank matrix recovery
    • [math.ST]Designing truncated priors for direct and inverse Bayesian problems
    • [math.ST]Distance-based regression analysis for measuring associations
    • [physics.soc-ph]Ecology in the digital world of Wikipedia
    • [q-bio.NC]Edelman’s Steps Toward a Conscious Artifact
    • [q-fin.PM]Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures
    • [q-fin.RM]The impact of Over The Top service providers on the Global Mobile Telecom Industry: A quantified analysis and recommendations for recovery
    • [quant-ph]Variational Quantum Classifiers Through the Lens of the Hessian
    • [stat.AP]Bayesian Uncertainty Quantification of Local Volatility Model
    • [stat.AP]Wildfires vegetation recovery through satellite remote sensing and Functional Data Analysis
    • [stat.CO]Computational Efficient Approximations of the Concordance Probability in a Big Data Setting
    • [stat.CO]FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems
    • [stat.ME]Adversarially Robust Change Point Detection
    • [stat.ME]Estimating Unknown Time-Varying Parameters in Uncertain Differential Equation
    • [stat.ME]Geometric variational inference
    • [stat.ME]Profile Matching for the Generalization and Personalization of Causal Inferences
    • [stat.ME]Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees
    • [stat.ML]BELT: Blockwise Missing Embedding Learning Transfomer
    • [stat.ML]From parcel to continental scale — A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
    • [stat.ML]Kernel Stein Discrepancy Descent
    • [stat.ML]Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
    • [stat.ML]Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics

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

    • [cond-mat.stat-mech]On the nonlinear stochastic dynamics of a continuous system with discrete attached elements
    Americo Cunha Jr, Rubens Sampaio
    http://arxiv.org/abs/2105.10084v1

    • [cs.AI]Efficient Temporal Piecewise-Linear Numeric Planning with Lazy Consistency Checking
    Josef Bajada, Maria Fox, Derek Long
    http://arxiv.org/abs/2105.10176v1

    • [cs.AI]Entropy-based Discovery of Summary Causal Graphs in Time Series
    Karim Assaad, Emilie Devijver, Eric Gaussier, Ali Ait-Bachir
    http://arxiv.org/abs/2105.10381v1

    • [cs.AI]Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
    Won Joon Yun, Sungwon Yi, Joongheon Kim
    http://arxiv.org/abs/2105.10211v1

    • [cs.AI]Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
    Hema Karande, Rahee Walambe, Victor Benjamin, Ketan Kotecha, T. S. Raghu
    http://arxiv.org/abs/2105.10272v1

    • [cs.AI]To do or not to do: finding causal relations in smart homes
    Kanvaly Fadiga, Etienne Houzé, Ada Diaconescu, Jean-Louis Dessalles
    http://arxiv.org/abs/2105.10058v1

    • [cs.AI]Variational Gaussian Topic Model with Invertible Neural Projections
    Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang
    http://arxiv.org/abs/2105.10095v1

    • [cs.CL]A Non-Linear Structural Probe
    Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell
    http://arxiv.org/abs/2105.10185v1

    • [cs.CL]A Streaming End-to-End Framework For Spoken Language Understanding
    Nihal Potdar, Anderson R. Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen
    http://arxiv.org/abs/2105.10042v1

    • [cs.CL]ASQ: Automatically Generating Question-Answer Pairs using AMRs
    Geetanjali Rakshit, Jeffrey Flanigan
    http://arxiv.org/abs/2105.10023v1

    • [cs.CL]Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
    Bin Ji, Shasha Li, Jie Yu, Jun Ma, Huijun Liu
    http://arxiv.org/abs/2105.10080v1

    • [cs.CL]Fact-driven Logical Reasoning
    Siru Ouyang, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2105.10334v1

    • [cs.CL]Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Apps
    Stanislaw Ambroszkiewicz, Waldemar Bartyna, Stanislaw Bylka
    http://arxiv.org/abs/2105.10362v1

    • [cs.CL]Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
    Boaz Shmueli, Soumya Ray, Lun-Wei Ku
    http://arxiv.org/abs/2105.09967v1

    • [cs.CL]Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
    Andrew Bennett, Dipendra Misra, Nga Than
    http://arxiv.org/abs/2105.10165v1

    • [cs.CL]Improving Generation and Evaluation of Visual Stories v
    1000
    ia Semantic Consistency
    Adyasha Maharana, Darryl Hannan, Mohit Bansal
    http://arxiv.org/abs/2105.10026v1

    • [cs.CL]Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
    Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang
    http://arxiv.org/abs/2105.10323v1

    • [cs.CL]Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
    Manjot Bedi, Shivani Kumar, Md Shad Akhtar, Tanmoy Chakraborty
    http://arxiv.org/abs/2105.09984v1

    • [cs.CL]Pretrained Language Models for Text Generation: A Survey
    Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
    http://arxiv.org/abs/2105.10311v1

    • [cs.CL]Revisiting the Negative Data of Distantly Supervised Relation Extraction
    Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang, Yanghua Xiao
    http://arxiv.org/abs/2105.10158v1

    • [cs.CL]Rule Augmented Unsupervised Constituency Parsing
    Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh Iyer
    http://arxiv.org/abs/2105.10193v1

    • [cs.CL]Semantic Representation for Dialogue Modeling
    Xuefeng Bai, Yulong Chen, Linfeng Song, Yue Zhang
    http://arxiv.org/abs/2105.10188v1

    • [cs.CL]Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws
    Kornraphop Kawintiranon, Yaguang Liu
    http://arxiv.org/abs/2105.10117v1

    • [cs.CL]Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging
    Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay, Ferdinando Insalata, Ye Tian, Sepehr Jalali, Da-shan Shiu
    http://arxiv.org/abs/2105.10267v1

    • [cs.CL]Training Bi-Encoders for Word Sense Disambiguation
    Harsh Kohli
    http://arxiv.org/abs/2105.10146v1

    • [cs.CL]Uncertainty-Aware Abstractive Summarization
    Alexios Gidiotis, Grigorios Tsoumakas
    http://arxiv.org/abs/2105.10155v1

    • [cs.CL]Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
    Ivana Kvapilıkova, Mikel Artetxe, Gorka Labaka, Eneko Agirre, Ondřej Bojar
    http://arxiv.org/abs/2105.10419v1

    • [cs.CR]A Rule Mining-Based Advanced Persistent Threats Detection System
    Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev
    http://arxiv.org/abs/2105.10053v1

    • [cs.CR]Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection
    Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding
    http://arxiv.org/abs/2105.10041v1

    • [cs.CR]Pravuil: Global Consensus for a United World
    David Cerezo Sánchez
    http://arxiv.org/abs/2105.10464v1

    • [cs.CR]Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process
    Sani M. Abdullahi, Sun Shuifa
    http://arxiv.org/abs/2105.10227v1

    • [cs.CV]3D Human Pose Regression using Graph Convolutional Network
    Soubarna Banik, Alejandro Mendoza Gracia, Alois Knoll
    http://arxiv.org/abs/2105.10379v1

    • [cs.CV]A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation
    Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer
    http://arxiv.org/abs/2105.10129v1

    • [cs.CV]Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
    Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
    http://arxiv.org/abs/2105.10160v1

    • [cs.CV]Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
    Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert
    http://arxiv.org/abs/2105.10195v1

    • [cs.CV]An Efficient Training Approach for Very Large Scale Face Recognition
    Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You
    http://arxiv.org/abs/2105.10375v1

    • [cs.CV]An Optical physics inspired CNN approach for intrinsic image decomposition
    Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Parakrama Ekanayake, Roshan Ragel, Vijitha Herath, Roshan Godaliyadda
    http://arxiv.org/abs/2105.10076v1

    • [cs.CV]An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
    Rodina Bassiouny, Adel Mohamed, Karthi Umapathy, Naimul Khan
    http://arxiv.org/abs/2105.10081v1

    • [cs.CV]Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems
    Illia Oleksiienko, Alexandros Iosifidis
    http://arxiv.org/abs/2105.10316v1

    • [cs.CV]Backdoor Attacks on Self-Supervised Learning
    Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
    http://arxiv.org/abs/2105.10123v1

    • [cs.CV]Behind the leaves — Estimation of occluded grapevine berries with conditional generative adversarial networks
    Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
    http://arxiv.org/abs/2105.10325v1

    • [cs.CV]Combining Transformer Generators with Convolutional Discriminators
    Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper
    http://arxiv.org/abs/2105.10189v1

    • [cs.CV]Compositional Fine-Grained Low-Shot Learning
    Dat Huynh, Ehsan Elhamifar
    http://arxiv.org/abs/2105.10438v1

    • [cs.CV]Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
    Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis
    http://arxiv.org/abs/2105.10436v1

    • [cs.CV]DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
    Jinshuo Zhang, Zhicheng Wang, Songyan Zhang, Gang Wei
    http://arxiv.org/abs/2105.10201v1

    • [cs.CV]Direct Simultaneous Multi-Image Registration
    Zhehua Mao, Liang Zhao, Shoudong Huang, Yiting Fan, Alex Pui-Wai Lee
    http://arxiv.org/abs/2105.10087v1

    • [cs.CV]Driving-Signal Aware Full-Body Avatars
    Timur Bagautdinov, Chenglei Wu, Tomas Simon, Fabian Prada, Takaaki Shiratori, Shih-En Wei, Weipeng Xu, Yaser Sheikh, Jason Saragih
    http://arxiv.org/abs/2105.10441v1

    • [cs.CV]EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
    Leilei Cao, Yao Xiao, Lin Xu
    http://arxiv.org/abs/2105.10104v1

    • [cs.CV]Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
    Mustafa Ayazoglu
    http://arxiv.org/abs/2105.10288v1

    • [cs.CV]GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers
    Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Masaki Nakagawa
    http://arxiv.org/abs/2105.10159v1

    • [cs.CV]Generalisable and distinctive 3D local deep descriptors for point cloud registration
    Fabio Poiesi, Davide Boscaini
    http://arxiv.org/abs/2105.10382v1

    • [cs.CV]Global Context for improving recognition of Online Handwritten Mathematical Expressions
    Cuong Tuan Nguyen, Thanh-Nghia Truong, Hung Tuan Nguyen, Masaki Nakagawa
    http://arxiv.org/abs/2105.10156v1

    • [cs.CV]Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
    Boyan Xu, Hujun Yin
    http://arxiv.org/abs/2105.10465v1

    • [cs.CV]Guidance and Teaching Network for Video Salient Object Detection
    Ge-Peng Ji, Xiao Wang, Yu-Cheng Chou, Yuming Fang, Shouyuan Yang, Rong Zhu, Ge Gao
    http://arxiv.org/abs/2105.10110v1

    • [cs.CV]Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
    Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
    http://arxiv.org/abs/2105.10369v1

    • [cs.CV]High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy
    Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka
    http://arxiv.org/abs/2105.10403v1

    • [cs.CV]IDEAL: Independent Domain Embedding Augmentation Learning
    Zhiyuan Chen, Guang Yao, Wennan Ma, Lin Xu
    http://arxiv.org/abs/2105.10112v1

    • [cs.CV]Intriguing Properties of Vision Transformers
    Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
    http://arxiv.org/abs/2105.10497v1

    • [cs.CV]Joint Triplet Autoencoder for Histopathological Colon Cancer Nuclei Retrieval
    Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS, Sairathan Ventrapragada, Saivamshi Salla Dasharatha
    http://arxiv.org/abs/2105.10262v1

    • [cs.CV]LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
    Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia
    http://arxiv.org/abs/2105.10422v1

    • [cs.CV]Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
    Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
    http://arxiv.org/abs/2105.10310v1

    • [cs.CV]Multi-color balance for color constancy
    Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya
    http://arxiv.org/abs/2105.10228v1

    • [cs.CV]Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
    Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu
    http://arxiv.org/abs/2105.10196v1

    • [cs.CV]Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
    Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma
    http://arxiv.org/abs/2105.10203v1

    • [cs.CV]Opening Deep Neural Networks with Generative Models
    Marcos Vendramini, Hugo Oliveira, Alexei Machado, Jefersson A. dos Santos
    http://arxiv.org/abs/2105.10013v1

    • [cs.CV]Pyramid Fusion Dark Channel Prior for Single Image Dehazing
    Qiyuan Liang, Bin Zhu, Chong-Wah Ngo
    http://arxiv.org/abs/2105.10192v1

    • [cs.CV]Robust Unsupervised Multi-Object Tracking in Noisy Environments
    C. -H. Huck Yang, Mohit Chhabra, Y. -C. Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakam
    http://arxiv.org/abs/2105.10005v1

    • [cs.CV]Rotation invariant CNN using scattering transform for image classification
    Rosemberg Rodriguez Salas, Eva Dokladalova, Petr Dokládal
    http://arxiv.org/abs/2105.10175v1

    • [cs.CV]Safety Metrics for Semantic Segmentation in Autonomous Driving
    Chih-Hong Cheng, Alois Knoll, Hsuan-Cheng Liao
    http://arxiv.org/abs/2105.10142v1

    • [cs.CV]Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses
    Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström
    http://arxiv.org/abs/2105.10313v1

    • [cs.CV]Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions
    Roxana Daneshjou, Carrie Kovarik, Justin M Ko
    http://arxiv.org/abs/2105.10477v1

    • [cs.CV]Uma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional
    Ezequiel França dos Santos, Gabriel Fontenelle
    http://arxiv.org/abs/2105.10063v1

    • [cs.CV]VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
    Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
    http://arxiv.org/abs/2105.09996v1

    • [cs.CV]ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search
    Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang
    http://arxiv.org/abs/2105.10154v1

    • [cs.CV]Visual representation of negation: Real world data analysis on comic image design
    Yuri Sato, Koji Mineshima, Kazuhiro Ueda
    http://arxiv.org/abs/2105.10131v1

    • [cs.CY]AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
    Peter Cihon, Moritz J. Kleinaltenkamp, Jonas Schuett, Seth D. Baum
    http://arxiv.org/abs/2105.10356v1

    • [cs.CY]Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing
    Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
    http://arxiv.org/abs/2105.10174v1

    • [cs.DC]Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants
    Julien Gedeon, Martin Wagner, Karolis
    c57
    Skaisgiris, Florian Brandherm, Max Mühlhäuser
    http://arxiv.org/abs/2105.10355v1

    • [cs.DC]Conduit: A C++ Library for Best-effort High Performance Computing
    Matthew Andres Moreno, Santiago Rodriguez Papa, Charles Ofria
    http://arxiv.org/abs/2105.10486v1

    • [cs.DC]Contention-Aware GPU Partitioning and Task-to-Partition Allocation for Real-Time Workloads
    Houssam-Eddine Zahaf, Ignacio Sanudo Olmedo, Jayati Singh, Nicola Capodieci, Sebastien Faucou
    http://arxiv.org/abs/2105.10312v1

    • [cs.DC]Towards an Arrow-native Storage System
    Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn
    http://arxiv.org/abs/2105.09894v2

    • [cs.GT]Fair and Efficient Resource Allocation with Partial Information
    Daniel Halpern, Nisarg Shah
    http://arxiv.org/abs/2105.10064v1

    • [cs.IR]A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction
    Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu, Lifeng Sun
    http://arxiv.org/abs/2105.10484v1

    • [cs.IR]A Load Balanced Recommendation Approach
    Mehdi Afsar, Trafford Crump, Behrouz Far
    http://arxiv.org/abs/2105.09981v1

    • [cs.IR]De-Biased Modelling of Search Click Behavior with Reinforcement Learning
    Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein
    http://arxiv.org/abs/2105.10072v1

    • [cs.IR]Diversifying Multi-aspect Search Results Using Simpson’s Diversity Index
    Jianghong Zhou, Eugene Agichtein, Surya Kallumadi
    http://arxiv.org/abs/2105.10075v1

    • [cs.IR]RFID-based Article-to-Fixture Predictions in Real-World Fashion Stores
    Matthias Wölbitsch, Thomas Hasler, Patrick Kasper, Denis Helic, Simon Walk
    http://arxiv.org/abs/2105.10216v1

    • [cs.IR]RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search
    Jianghong Zhou, Eugene Agichtein
    http://arxiv.org/abs/2105.10124v1

    • [cs.IR]Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
    Harsh Kohli
    http://arxiv.org/abs/2105.10152v1

    • [cs.IT]A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO
    Amin Ghazanfari, Hei Victor Cheng, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2105.10307v1

    • [cs.IT]A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems
    Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffery Ye Li, Xiaohu You
    http://arxiv.org/abs/2105.10283v1

    • [cs.IT]An Algorithm for Grant-Free Random Access in Cell-Free Massive MIMO
    Unnikrishnan Kunnath Ganesan, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/2105.10378v1

    • [cs.IT]Measure Concentration on the OFDM-based Random Access Channel
    Gerhard Wunder, Axel Flinth, Benedikt Groß
    http://arxiv.org/abs/2105.10270v1

    • [cs.IT]New Construction of Z-Complementary Code Sets and Mutually Orthogonal Complementary Sequence Sets
    Bingsheng Shen, Yang Yang, Zhengchun Zhou
    http://arxiv.org/abs/2105.10147v1

    • [cs.IT]Sparse Layered MIMO with Iterative Detection
    Mohamad H. Dinan, Nemanja Stefan Perovic, Mark F. Flanagan
    http://arxiv.org/abs/2105.10476v1

    • [cs.IT]Unified Expression of Achievable Region in Privacy-Constrained Source Coding
    Naruki Shinohara, Hideki Yagi
    http://arxiv.org/abs/2105.10135v1

    • [cs.LG]A Precise Performance Analysis of Support Vector Regression
    Houssem Sifaou, Abla kammoun, Mohamed-Slim Alouini
    http://arxiv.org/abs/2105.10373v1

    • [cs.LG]An Explainable Classification Model for Chronic Kidney Disease Patients
    Pedro A. Moreno-Sanchez
    http://arxiv.org/abs/2105.10368v1

    • [cs.LG]AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
    S. K. Roy, M. E. Paoletti, J. M. Haut, S. R. Dubey, P. Kar, A. Plaza, B. B. Chaudhuri
    http://arxiv.org/abs/2105.10190v1

    • [cs.LG]Anomaly Mining — Past, Present and Future
    Leman Akoglu
    http://arxiv.org/abs/2105.10077v1

    • [cs.LG]Certification of Iterative Predictions in Bayesian Neural Networks
    Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska
    http://arxiv.org/abs/2105.10134v1

    • [cs.LG]Data-Free Knowledge Distillation for Heterogeneous Federated Learning
    Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
    http://arxiv.org/abs/2105.10056v1

    • [cs.LG]Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
    Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu
    http://arxiv.org/abs/2105.09980v1

    • [cs.LG]Definite Non-Ancestral Relations and Structure Learning
    Wenyu Chen, Mathias Drton, Ali Shojaie
    http://arxiv.org/abs/2105.10350v1

    • [cs.LG]Distinguishing artefacts: evaluating the saturation point of convolutional neural networks
    Ric Real, James Gopsill, David Jones, Chris Snider, Ben Hicks
    http://arxiv.org/abs/2105.10448v1

    • [cs.LG]Dynamic Filters in Graph Convolutional Neural Networks
    Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
    http://arxiv.org/abs/2105.10377v1

    • [cs.LG]Elliptical Ordinal Embedding
    Aïssatou Diallo, Johannes Fürnkranz
    http://arxiv.org/abs/2105.10457v1

    • [cs.LG]Escaping Saddle Points with Compressed SGD
    Dmitrii Avdiukhin, Grigory Yaroslavtsev
    http://arxiv.org/abs/2105.10090v1

    • [cs.LG]Evaluating Robustness over High Level Driving Instruction for Autonomous Driving
    Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
    http://arxiv.org/abs/2105.10014v1

    • [cs.LG]Explainable Machine Learning with Prior Knowledge: An Overview
    Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden
    http://arxiv.org/abs/2105.10172v1

    • [cs.LG]Exploring Robust Misclassifications of Neural Networks to Enhance Adversarial Attacks
    Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern Eskofier
    http://arxiv.org/abs/2105.10304v1

    • [cs.LG]GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection
    Tobias Rohrer, Jascha Kolberg
    http://arxiv.org/abs/2105.10213v1

    • [cs.LG]Generalization Error Bound for Hyperbolic Ordinal Embedding
    Atsushi Suzuki, Atsushi Nitanda, Jing Wang, Linchuan Xu, Marc Cavazza, Kenji Yamanishi
    http://arxiv.org/abs/2105.10475v1

    • [cs.LG]Low-Memory Implementations of Ridge Solutions for Broad Learning System with Incremental Learning
    Hufei Zhu
    http://arxiv.org/abs/2105.10424v1

    • [cs.LG]Maximum and Leaky Maximum Propagation
    Wolfgang Fuhl
    http://arxiv.org/abs/2105.10277v1

    • [cs.LG]Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective
    Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
    http://arxiv.org/abs/2105.09985v1

    • [cs.LG]Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units
    Zihao Zhang, Stefan Zohren
    http://arxiv.org/abs/2105.10430v1

    • [cs.LG]On Explaining Random Forests with SAT
    Yacine Izza, Joao Marques-Silva
    http://arxiv.org/abs/2105.10278v1

    • [cs.LG]On Instrumental Variable Regression for Deep Offline Policy Evaluation
    Yutian Chen, Liyuan Xu, Caglar Gulcehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
    http://arxiv.org/abs/2105.10148v1

    • [cs.LG]Probabilistic Sufficient Explanations
    Eric Wang, Pasha Khosravi, Guy Van den Broeck
    http://arxiv.org/abs/2105.10118v1

    • [cs.LG]ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
    Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
    http://arxiv.org/abs/2105.10446v1

    • [cs.LG]Sheaves as a Framework for Understanding and Interpreting Model Fit
    Henry Kvinge, Brett Jefferson, Cliff Joslyn, Emilie Purvine
    http://arxiv.org/abs/2105.10414v1

    • [cs.LG]Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
    Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang
    http://arxiv.org/abs/2105.10478v1

    • [cs.LG]Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
    Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva, Luca Benini
    http://arxiv.org/abs/2105.10302v1

    • [cs.LG]Word-level Text Highlighting of Medical Texts forTelehealth Services
    Ozan Ozyegen, Devika Kabe, Mucahit Cevik
    http://arxiv.org/abs/2105.10400v1

    • [cs.LG]Yes We Care! — Certification for Machine Learning Methods through the Care Label Framework
    Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
    http://arxiv.org/abs/2105.10197v1

    • [cs.NE]On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
    David M. Bossens, Danesh Tarapore
    http://arxiv.org/abs/2105.10317v1

    • [cs.RO]A Localization and Navigation Method for an In-pipe Robot in Water Distribution System through Wireless Control towards Long-Distance Inspection
    Saber Kazeminasab, M. Katherine Banks
    http://arxiv.org/abs/2105.10447v1

    • [cs.RO]A Reinforcement Learning based Path Planning Approach in 3D Environment
    Geesara Kulathunga
    http://arxiv.org/abs/2105.10342v1

    • [cs.RO]A Review on Trust in Human-Robot Interaction
    Zahra Rezaei Khavas
    http://arxiv.org/abs/2105.10045v1

    • [cs.RO]A Self-Guided Approach for Navigation in a Minimalistic Foraging Robotic Swarm
    Steven Adams, Daniel Jarne Ornia, Manuel Mazo Jr
    http://arxiv.org/abs/2105.10331v1

    • [cs.RO]Bringing A Robot Simulator to the SCAMP Vision System
    Yanan Liu, Jianing Chen, Laurie Bose, Piotr Dudek, Walterio Mayol-Cuevas
    http://arxiv.org/abs/2105.10479v1

    • [cs.RO]Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
    Carl-Johan Hoel, Krister Wolff, Leo Laine
    http://arxiv.org/abs/2105.10266v1

    • [cs.RO]Fast-Racing: An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
    Zhichao Han, Zhepei Wang, Chao Xu, Fei Gao
    http://arxiv.org/abs/2105.10276v1

    • [cs.RO]Language Understanding for Field and Service Robots in a Priori Unknown Environments
    Matthew R. Walter, Siddharth Patki, Andrea F. Daniele, Ethan Fahnestock, Felix Duvallet, Sachithra Hemachandra, Jean Oh, Anthony Stentz, Nicholas Roy, Thomas M. Howard
    http://arxiv.org/abs/2105.10396v1

    • [cs.RO]Learning Modular Robot Control Policies
    Julian Whitman, Matthew Travers, Howie Choset
    http://arxiv.org/abs/2105.10049v1

    • [cs.RO]Learning Visible Connectivity Dynamics for Cloth Smoothing
    Xingyu Lin, Yufei Wang, David Held
    http://arxiv.org/abs/2105.10389v1

    • [cs.RO]Reduced-Order-Model-Based Feedback Design for Thruster-Assisted Legged Locomotion
    Pravin Dangol, Alireza Ramezani
    http://arxiv.org/abs/2105.10082v1

    • [cs.RO]The Effectiveness of Kinematic Constraints on The Accuracy of Trajectory Profile of Human Walking Using PSPB Technique
    Marwan Qaid Mohammed, Muhammad Fahmi Miskon, Sari Abdo Ali
    http://arxiv.org/abs/2105.10251v1

    • [cs.RO]Waiting Tables as a Robot Planning Problem
    Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
    http://arxiv.org/abs/2105.10133v1

    • [cs.SD]LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
    Pritish Chandna, António Ramires, Xavier Serra, Emilia Gómez
    http://arxiv.org/abs/2105.10371v1

    • [cs.SI]An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices — A Study of 80 Million Tweets
    Shahab Saquib Sohail, Mohammad Muzammil Khan, M. Afshar Alam
    http://arxiv.org/abs/2105.10245v1

    • [cs.SI]Efficient hypothesis testing for community detection in heterogeneous networks by graph dissimilarity
    Xin-Jian Xu, Cheng Chen, J. F. F. Mendes
    http://arxiv.org/abs/2105.10092v1

    • [cs.SI]Measuring the impact of spammers on e-mail and Twitter networks
    A. Fronzetti Colladon, P. A. Gloor
    http://arxiv.org/abs/2105.10256v1

    • [cs.SI]The Strategy Behind Anti-Vaxxers’ Reply Behavior on Social Media
    Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara
    http://arxiv.org/abs/2105.10319v1

    • [cs.SI]The digital footprint of innovators: Using email to detect the most creative people in your organization
    P. A. Gloor, A. Fronzetti Colladon, F. Grippa
    http://arxiv.org/abs/2105.10247v1

    • [cs.SI]The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups
    P. A. Gloor, A. Fronzetti Colladon, F. Grippa, B. M. Hadley, S. Woerner
    http://arxiv.org/abs/2105.10237v1

    • [eess.IV]AC-CovidNet: Attention Guided Contrastive CNN for Recognition of Covid-19 in Chest X-Ray Images
    Anirudh Ambati, Shiv Ram Dubey
    http://arxiv.org/abs/2105.10239v1

    • [eess.IV]An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
    Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghih Roohi, Mathias Unberath
    http://arxiv.org/abs/2105.10238v1

    • [eess.IV]Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
    Masaki Nakanishi, Kazuki Sato, Hideo Terada
    http://arxiv.org/abs/2105.10214v1

    • [eess.IV]Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
    Kai Han, Kwan-Yee K. Wong, Miaomiao Liu
    http://arxiv.org/abs/2105.09993v1

    • [eess.IV]Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
    Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang
    http://arxiv.org/abs/2105.10194v1

    • [eess.IV]Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection
    Julio Silva-Rodríguez, Adrián Colomer, María A. Sales, Rafael Molina, Valery Naranjo
    http://arxiv.org/abs/2105.10490v1

    • [eess.IV]Helsinki Deblur Challenge 2021: description of photographic data
    Markus Juvonen, Samuli Siltanen, Fernando Silva de Moura
    http://arxiv.org/abs/2105.10233v1

    • [eess.IV]Self-learning for weakly supervised Gleason grading of local patterns
    Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz, Valery Naranjo
    http://arxiv.org/abs/2105.10420v1

    • [eess.IV]WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
    Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo
    http://arxiv.org/abs/2105.10445v1

    • [eess.SP]Automated Detection of Abnormal EEGs in Epilepsy With a Compact and Efficient CNN Model
    Taku Shoji, Noboru Yoshida, Toshihisa Tanaka
    http://arxiv.org/abs/2105.10358v1

    • [eess.SP]Covariance-Free Sparse Bayesian Learning
    Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba Ba
    http://arxiv.org/abs/2105.10439v1

    • [eess.SP]Deep Learning-based Implicit CSI Feedback in Massive MIMO
    Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang
    http://arxiv.org/abs/2105.10100v1

    • [hep-ph]Deep-Learned Event Variables for Collider Phenomenology
    Doojin Kim, Kyoungchul Kong, Konstantin T. Matchev, Myeonghun Park, Prasanth Shyamsundar
    http://arxiv.org/abs/2105.10126v1

    • [math.CO]Twisted Linearized Reed-Solomon Codes: A Skew Polynomial Framework
    Alessandro Neri
    http://arxiv.org/abs/2105.10451v1

    • [math.OC]Lecture notes on non-convex algorithms for low-rank matrix recovery
    Irène Waldspurger
    http://arxiv.org/abs/2105.10318v1

    • [math.ST]Designing truncated priors for direct and inverse Bayesian problems
    Sergios Agapiou, Peter Mathé
    http://arxiv.org/abs/2105.10254v1

    • [math.ST]Distance-based regression analysis for measuring associations
    Yuke Shi, Wei Zhang, Aiyi Liu, Qizhai Li
    http://arxiv.org/abs/2105.10145v1

    • [physics.soc-ph]Ecology in the digital world of Wikipedia
    Fumiko Ogushi, János Kertész, Kimmo Kaski, Takashi Shimada
    http://arxiv.org/abs/2105.10333v1

    • [q-bio.NC]Edelman’s Steps Toward a Conscious Artifact
    Jeffrey L. Krichmar
    http://arxiv.org/abs/2105.10461v1

    • [q-fin.PM]Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures
    Daniel Poh, Bryan Lim, Stefan Zohren, Stephen Roberts
    http://arxiv.org/abs/2105.10019v1

    • [q-fin.RM]The impact of Over The Top service providers on the Global Mobile Telecom Industry: A quantified analysis and recommendations for recovery
    Ahmed Awwad
    http://arxiv.org/abs/2105.10265v1

    • [quant-ph]Variational Quantum Classifiers Through the Lens of the Hessian
    Pinaki Sen, Amandeep Singh Bhatia
    http://arxiv.org/abs/2105.10162v1

    • [stat.AP]Bayesian Uncertainty Quantification of Local Volatility Model
    Kai Yin, Anirban Mondal
    http://arxiv.org/abs/2105.10210v1

    • [stat.AP]Wildfires vegetation recovery through satellite remote sensing and Functional Data Analysis
    Feliu Serra-Burriel, Pedro Delicado, Fernando M. Cucchietti
    http://arxiv.org/abs/2105.10050v1

    • [stat.CO]Computational Efficient Approximations of the Concordance Probability in a Big Data Setting
    Robin Van Oirbeek, Jolien Ponnet, Tim Verdonck
    http://arxiv.org/abs/2105.10392v1

    • [stat.CO]FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems
    I. Fernández, A. Rodríguez-Collado, Y. Larriba, A. Lamela, C. Canedo, C. Rueda
    http://arxiv.org/abs/2105.10168v1

    • [stat.ME]Adversarially Robust Change Point Detection
    Mengchu Li, Yi Yu
    http://arxiv.org/abs/2105.10417v1

    • [stat.ME]Estimating Unknown Time-Varying Parameters in Uncertain Differential Equation
    Guidong Zhang, Yuhong Sheng
    http://arxiv.org/abs/2105.10324v1

    • [stat.ME]Geometric variational inference
    Philipp Frank, Reimar Leike, Torsten A. Enßlin
    http://arxiv.org/abs/2105.10470v1

    • [stat.ME]Profile Matching for the Generalization and Personalization of Causal Inferences
    Eric R. Cohn, Jose R. Zubizarreta
    http://arxiv.org/abs/2105.10060v1

    • [stat.ME]Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees
    Abhishek Kaul
    http://arxiv.org/abs/2105.10017v1

    • [stat.ML]BELT: Blockwise Missing Embedding Learning Transfomer
    Doudou Zhou, Tianxi Cai, Junwei Lu
    http://arxiv.org/abs/2105.10360v1

    • [stat.ML]From parcel to continental scale — A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations
    Raphaël d’Andrimont, Astrid Verhegghen, Guido Lemoine, Pieter Kempeneers, Michele Meroni, Marijn van der Velde
    http://arxiv.org/abs/2105.09261v2

    • [stat.ML]Kernel Stein Discrepancy Descent
    Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin
    http://arxiv.org/abs/2105.09994v1

    • [stat.ML]Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
    Ruiqi Liu, Mingao Yuan, Zuofeng Shang
    http://arxiv.org/abs/2105.10315v1

    • [stat.ML]Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics
    Inass Sekkat, Gabriel Stoltz
    http://arxiv.org/abs/2105.10347v1