astro-ph.CO - 宇宙学和天体物理学
    cond-mat.soft - 软凝聚物质
    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.FL - 形式语言与自动机理论
    cs.GR - 计算机图形学
    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.MA - 多代理系统
    cs.MM - 多媒体
    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.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.GN - 一般经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.DG - 微分几何
    math.NA - 数值分析
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.CO]AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
    • [cond-mat.soft]Uncertainty quantification and estimation in differential dynamic microscopy
    • [cs.AI]Automatic Learning to Detect Concept Drift
    • [cs.AI]Causal factors discovering from Chinese construction accident cases
    • [cs.AI]Evolving Evaluation Functions for Collectible Card Game AI
    • [cs.AI]Federated Multi-View Learning for Private Medical Data Integration and Analysis
    • [cs.AI]Generative Art Using Neural Visual Grammars and Dual Encoders
    • [cs.AI]Implicit Regularization in Deep Tensor Factorization
    • [cs.AI]Large-scale Taxonomy Induction Using Entity and Word Embeddings
    • [cs.AI]Semantic Modeling for Food Recommendation Explanations
    • [cs.AI]Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
    • [cs.AI]The Role of Time and Data: Online Conformance Checking in the Manufacturing Domain
    • [cs.AI]Towards A Multi-agent System for Online Hate Speech Detection
    • [cs.AI]Towards Accountability in the Use of Artificial Intelligence for Public Administrations
    • [cs.AI]Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction
    • [cs.AR]HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation
    • [cs.CL]BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter
    • [cs.CL]Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
    • [cs.CL]Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
    • [cs.CL]Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark
    • [cs.CL]Impact of Gender Debiased Word Embeddings in Language Modeling
    • [cs.CL]Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
    • [cs.CL]Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews
    • [cs.CL]Scalar Adjective Identification and Multilingual Ranking
    • [cs.CL]Semantic Extractor-Paraphraser based Abstractive Summarization
    • [cs.CL]Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
    • [cs.CL]Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks
    • [cs.CL]Unsupervised Graph-based Topic Modeling from Video Transcriptions
    • [cs.CL]ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders
    • [cs.CR]A Review of Confidentiality Threats Against Embedded Neural Network Models
    • [cs.CR]An Overview of Laser Injection against Embedded Neural Network Models
    • [cs.CR]Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
    • [cs.CR]Technology Review of Blockchain Data Privacy Solutions
    • [cs.CV]An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
    • [cs.CV]COMISR: Compression-Informed Video Super-Resolution
    • [cs.CV]Canonical Saliency Maps: Decoding Deep Face Models
    • [cs.CV]Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation
    • [cs.CV]Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction
    • [cs.CV]Dual-Cross Central Difference Network for Face Anti-Spoofing
    • [cs.CV]End-to-end One-shot Human Parsing
    • [cs.CV]Hallucination Improves Few-Shot Object Detection
    • [cs.CV]LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
    • [cs.CV]Leveraging Third-Order Features in Skeleton-Based Action Recognition
    • [cs.CV]MLP-Mixer: An all-MLP Architecture for Vision
    • [cs.CV]Motion-Augmented Self-Training for Video Recognition at Smaller Scale
    • [cs.CV]Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification
    • [cs.CV]Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
    • [cs.CV]One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
    • [cs.CV]Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
    • [cs.CV]Prediction of clinical tremor severity using Rank Consistent Ordinal Regression
    • [cs.CV]Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models
    • [cs.CV]Remote Pathological Gait Classification System
    • [cs.CV]Representation Learning for Clustering via Building Consensus
    • [cs.CV]Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)
    • [cs.CV]Self-Supervised Approach for Facial Movement Based Optical Flow
    • [cs.CV]Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3
    • [cs.CV]Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
    • [cs.CV]The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
    • [cs.CV]Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
    • [cs.CV]Weak Multi-View Supervision for Surface Mapping Estimation
    • [cs.CV]Where and When: Space-Time Attention for Audio-Visual Explanations
    • [cs.CY]Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education
    • [cs.DC]Architecture of a Flexible and Cost-Effective Remote Code Execution Engine
    • [cs.DC]Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver
    • [cs.FL]Signal automata and hidden Markov models
    • [cs.GR]Orienting Point Clouds with Dipole Propagation
    • [cs.GT]Two-Stage Facility Location Games with Strategic Clients and Facilities
    • [cs.IR]Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
    • [cs.IR]Apparel Recommender System based on Bilateral image shape features
    • [cs.IR]GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
    • [cs.IR]PreSizE: Predicting Size in E-Commerce using Transformers
    • [cs.IT]Area Rate Efficiency in Molecular Communications
    • [cs.IT]Codes for the Z-channel
    • [cs.IT]Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G
    • [cs.IT]Consistent Density Estimation Under Discrete Mixture Models
    • [cs.IT]Continuous indetermination and average likelihood minimization
    • [cs.IT]Deep Extended Feedback Codes
    • [cs.IT]Effects of Quantization on the Multiple-Round Secret-Key Capacity
    • [cs.IT]Holographic MIMO Communications
    • [cs.IT]Intersection Patterns in Optimal Binary 今日学术视野(2021.5.6) - 图1#card=math&code=%285%2C3%29&id=veIjM) Doubling Subspace Codes
    • [cs.IT]Multiparty Interactive Coding over Networks of Intersecting Broadcast Links
    • [cs.IT]Randomized Multiple Model Multiple Hypothesis Tracking
    • [cs.IT]Small-Sample Inferred Adaptive Recoding for Batched Network Coding
    • [cs.IT]Type IV-II codes over Z4 constructed from generalized bent functions
    • [cs.LG]A Finer Calibration Analysis for Adversarial Robustness
    • [cs.LG]A Review on Oracle Issues in Machine Learning
    • [cs.LG]All-Clear Flare Prediction Using Interval-based Time Series Classifiers
    • [cs.LG]Broadly Applicable Targeted Data Sample Omission Attacks
    • [cs.LG]Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany
    • [cs.LG]Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
    • [cs.LG]Convergence Analysis and System Design for Federated Learning over Wireless Networks
    • [cs.LG]Data-Efficient Reinforcement Learning for Malaria Control
    • [cs.LG]Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
    • [cs.LG]Deep-learning-based coupled flow-geomechanics surrogate model for CO今日学术视野(2021.5.6) - 图2 sequestration
    • [cs.LG]EBIC.JL — an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
    • [cs.LG]Effective Sparsification of Neural Networks with Global Sparsity Constraint
    • [cs.LG]Enhancing Generalizability of Predictive Models with Synergy of Data and Physics
    • [cs.LG]Fusing multimodal neuroimaging data with a variational autoencoder
    • [cs.LG]GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
    • [cs.LG]Graph Pooling via Coarsened Graph Infomax
    • [cs.LG]Iterated learning for emergent systematicity in VQA
    • [cs.LG]LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests
    • [cs.LG]Learning 3D Granular Flow Simulations
    • [cs.LG]Learning Traffic Speed Dynamics from Visualizations
    • [cs.LG]Machine Learning Applications for Therapeutic Tasks with Genomics Data
    • [cs.LG]Multipath Graph Convolutional Neural Networks
    • [cs.LG]Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A
    • [cs.LG]NeuralLog: a Neural Logic Language
    • [cs.LG]Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
    • [cs.LG]On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
    • [cs.LG]On the Linear convergence of Natural Policy Gradient Algorithm
    • [cs.LG]Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
    • [cs.LG]OpTorch: Optimized deep learning architectures for resource limited environments
    • [cs.LG]Optimal Algorithms for Range Searching over Multi-Armed Bandits
    • [cs.LG]Poisoning the Unlabeled Dataset of Semi-Supervised Learning
    • [cs.LG]PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
    • [cs.LG]Process Model Forecasting Using Time Series Analysis of Event Sequence Data
    • [cs.LG]Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
    • [cs.LG]Reinforcement Learning for Ridesharing: A Survey
    • [cs.LG]Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
    • [cs.LG]Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media
    • [cs.LG]Supervised multi-specialist topic model with applications on large-scale electronic health record data
    • [cs.LG]The Tracking Machine Learning challenge : Throughput phase
    • [cs.LG]TimeGym: Debugging for Time Series Modeling in Python
    • [cs.LG]Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
    • [cs.LG]Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
    • [cs.LG]Using Twitter Attribute Information to Predict Stock Prices
    • [cs.LG]VersaGNN: a Versatile accelerator for Graph neural networks
    • [cs.LG]Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification
    • [cs.LG]WiFi Fingerprint Clustering for Urban Mobility Analysis
    • [cs.LG]mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques
    • [cs.MA]Polynomial-Time Algorithms for Multi-Agent Minimal-Capacity Planning
    • [cs.MM]An Estimation of Online Video User Engagement from Features of Continuous Emotions
    • [cs.NE]A Single-Layer Asymmetric RNN: Potential Low Hardware Complexity Linear Equation Solver
    • [cs.NE]Reservoir Stack Machines
    • [cs.NI]Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis
    • [cs.NI]Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning
    • [cs.NI]Real-Time Guarantees for Critical Traffic in IEEE 802.1Qbv TSN Networks with Unscheduled and Unsynchronized End-Systems
    • [cs.RO]Autonomous Robotic Mapping of Fragile Geologic Features
    • [cs.RO]CFEAR Radarodometry — Conservative Filtering for Efficient and Accurate Radar Odometry
    • [cs.RO]Lidar Scan Registration Robust to Extreme Motions
    • [cs.RO]Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions
    • [cs.RO]Self-Improving Semantic Perception on a Construction Robot
    • [cs.SD]Streaming end-to-end speech recognition with jointly trained neural feature enhancement
    • [cs.SD]VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding
    • [cs.SE]Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
    • [cs.SI]Gaining Insights on Student Course Selection in Higher Education with Community Detection
    • [cs.SI]Recovering Barabási-Albert Parameters of Graphs through Disentanglement
    • [cs.SI]Textual Analysis of Communications in COVID-19 Infected Community on Social Media
    • [econ.GN]Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
    • [eess.IV]Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
    • [eess.IV]COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
    • [eess.IV]Event Camera Simulator Design for Modeling Attention-based Inference Architectures
    • [eess.IV]Robust 3D Cell Segmentation: Extending the View of Cellpose
    • [eess.IV]Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
    • [eess.SP]End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels
    • [math.DG]Riemannian Geometry with differentiable ambient space and metric operator
    • [math.NA]A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
    • [math.NA]Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators
    • [math.OC]Regret-Optimal Full-Information Control
    • [math.OC]The distributed dual ascent algorithm is robust to asynchrony
    • [math.PR]On the stability of the stochastic gradient Langevin algorithm with dependent data stream
    • [math.ST]Estimating the conditional distribution in functional regression problems
    • [math.ST]Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
    • [physics.soc-ph]Consensus Dynamics and Opinion Formation on Hypergraphs
    • [q-bio.NC]Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi
    • [quant-ph]Distributed Quantum Computing with QMPI
    • [quant-ph]Towards security recommendations for public-key infrastructures for production environments in the post-quantum era
    • [stat.AP]Modelling age-related changes in executive functions of soccer players
    • [stat.AP]Multi-resolution Spatial Regression for Aggregated Data with an Application to Crop Yield Prediction
    • [stat.AP]Reflection on modern methods: a note on variance estimation when using inverse probability weighting to handle attrition in cohort studies
    • [stat.CO]Good distribution modelling with the R package good
    • [stat.ME]A flexible forecasting model for production systems
    • [stat.ME]Combining Broad and Narrow Case Definitions in Matched Case-Control Studies
    • [stat.ME]Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models
    • [stat.ME]Micro-level network dynamics of scientific collaboration and impact: relational hyperevent models for the analysis of coauthor networks
    • [stat.ME]Misuse of the sign test in narrative synthesis of evidence
    • [stat.ME]Modern Subsampling Methods for Large-Scale Least Squares Regression
    • [stat.ME]Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
    • [stat.ME]Occam Factor for Gaussian Models With Unknown Variance Structure
    • [stat.ME]Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
    • [stat.ME]Reconciling design-based and model-based causal inferences for split-plot experiments
    • [stat.ME]Resampling Methods for Detecting Anisotropic Correlation Structure
    • [stat.ME]Semiparametric Spatiotemporal Model with Mixed Frequencies
    • [stat.ME]Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
    • [stat.ME]The Lévy combination test
    • [stat.ME]Variational Inference and Sparsity in High-Dimensional Deep Gaussian Mixture Models
    • [stat.ME]What can the millions of random treatments in nonexperimental data reveal about causes?
    • [stat.ML]Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models
    • [stat.ML]Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
    • [stat.ML]Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
    • [stat.ML]Learning Good State and Action Representations via Tensor Decomposition
    • [stat.ML]On the Sample Complexity of Rank Regression from Pairwise Comparisons
    • [stat.ML]Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis

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

    • [astro-ph.CO]AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
    Yueying Ni, Yin Li, Patrick Lachance, Rupert A. C. Croft, Tiziana Di Matteo, Simeon Bird, Yu Feng
    http://arxiv.org/abs/2105.01016v1

    • [cond-mat.soft]Uncertainty quantification and estimation in differential dynamic microscopy
    Mengyang Gu, Yimin Luo, Yue He, Matthew E. Helgeson, Megan T. Valentine
    http://arxiv.org/abs/2105.01200v1

    • [cs.AI]Automatic Learning to Detect Concept Drift
    Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
    http://arxiv.org/abs/2105.01419v1

    • [cs.AI]Causal factors discovering from Chinese construction accident cases
    Zi-jian Ni, Wei Liu
    http://arxiv.org/abs/2105.01227v1

    • [cs.AI]Evolving Evaluation Functions for Collectible Card Game AI
    Radosław Miernik, Jakub Kowalski
    http://arxiv.org/abs/2105.01115v1

    • [cs.AI]Federated Multi-View Learning for Private Medical Data Integration and Analysis
    Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He
    http://arxiv.org/abs/2105.01603v1

    • [cs.AI]Generative Art Using Neural Visual Grammars and Dual Encoders
    Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero
    http://arxiv.org/abs/2105.00162v2

    • [cs.AI]Implicit Regularization in Deep Tensor Factorization
    Paolo Milanesi, Hachem Kadri, Stéphane Ayache, Thierry Artières
    http://arxiv.org/abs/2105.01346v1

    • [cs.AI]Large-scale Taxonomy Induction Using Entity and Word Embeddings
    Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto, Heiko Paulheim
    http://arxiv.org/abs/2105.01305v1

    • [cs.AI]Semantic Modeling for Food Recommendation Explanations
    Ishita Padhiar, Oshani Seneviratne, Shruthi Chari, Daniel Gruen, Deborah L. McGuinness
    http://arxiv.org/abs/2105.01269v1

    • [cs.AI]Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
    Farnaz H. Foomani, D. M. Anisuzzaman, Jeffrey Niezgoda, Jonathan Niezgoda, William Guns, Sandeep Gopalakrishnan, Zeyun Yu
    http://arxiv.org/abs/2105.01159v1

    • [cs.AI]The Role of Time and Data: Online Conformance Checking in the Manufacturing Domain
    Florian Stertz, Juergen Mangler, Stefanie Rinderle-Ma
    http://arxiv.org/abs/2105.01454v1

    • [cs.AI]Towards A Multi-agent System for Online Hate Speech Detection
    Gaurav Sahu, Robin Cohen, Olga Vechtomova
    http://arxiv.org/abs/2105.01129v1

    • [cs.AI]Towards Accountability in the Use of Artificial Intelligence for Public Administrations
    Michele Loi, Matthias Spielkamp
    http://arxiv.org/abs/2105.01434v1

    • [cs.AI]Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction
    Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati
    http://arxiv.org/abs/2105.01220v1

    • [cs.AR]HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation
    Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
    http://arxiv.org/abs/2105.01585v1

    • [cs.CL]BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter
    Hasan Kemik, Nusret Özateş, Meysam Asgari-Chenaghlu, Erik Cambria
    http://arxiv.org/abs/2105.01331v1

    • [cs.CL]Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
    Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen, Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2105.01542v1

    • [cs.CL]Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
    Youngseo Son, H Andrew Schwartz
    http://arxiv.org/abs/2105.01306v1

    • [cs.CL]Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark
    Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter
    http://arxiv.org/abs/2105.00071v1

    • [cs.CL]Impact of Gender Debiased Word Embeddings in Language Modeling
    Christine R. Basta, Marta R. Costa-jussà
    http://arxiv.org/abs/2105.00908v2

    • [cs.CL]Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
    Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark Riedl
    http://arxiv.org/abs/2105.01311v1

    • [cs.CL]Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews
    Pavan Holur, Shadi Shahsavari, Ehsan Ebrahimizadeh, Timothy R. Tangherlini, Vwani Roychowdhury
    http://arxiv.org/abs/2105.01150v1

    • [cs.CL]Scalar Adjective Identification and Multilingual Ranking
    Aina Garí Soler, Marianna Apidianaki
    http://arxiv.org/abs/2105.01180v1

    • [cs.CL]Semantic Extractor-Paraphraser based Abstractive Summarization
    Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya
    http://arxiv.org/abs/2105.01296v1

    • [cs.CL]Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
    Alexander Robertson, Farhana Ferdousi Liza, Dong Nguyen, Barbara McGillivray, Scott A. Hale
    http://arxiv.org/abs/2105.00846v2

    • [cs.CL]Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks
    Tatyana Iazykova, Denis Kapelyushnik, Olga Bystrova, Andrey Kutuzov
    http://arxiv.org/abs/2105.01192v1

    • [cs.CL]Unsupervised Graph-based Topic Modeling from Video Transcriptions
    Lukas Stappen, Gerhard Hagerer, Björn W. Schuller, Georg Groh
    http://arxiv.org/abs/2105.01466v1

    • [cs.CL]ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders
    Yan Song, Tong Zhang, Yonggang Wang, Kai-Fu Lee
    http://arxiv.org/abs/2105.01279v1

    • [cs.CR]A Review of Confidentiality Threats Against Embedded Neural Network Models
    Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard, Jean-Baptiste Rigaud
    http://arxiv.org/abs/2105.01401v1

    • [cs.CR]An Overview of Laser Injection against Embedded Neural Network Models
    Mathieu Dumont, Pierre-Alain Moellic, Raphael Viera, Jean-Max Dutertre, Rémi Bernhard
    http://arxiv.org/abs/2105.01403v1

    • [cs.CR]Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
    Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
    http://arxiv.org/abs/2105.01281v1

    • [cs.CR]Technology Review of Blockchain Data Privacy Solutions
    Jack Tanner, Roshaan Khan
    http://arxiv.org/abs/2105.01316v1

    • [cs.CV]An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
    Murari Mandal, Santosh Kumar Vipparthi
    http://arxiv.org/abs/2105.01342v1

    • [cs.CV]COMISR: Compression-Informed Video Super-Resolution
    Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar
    http://arxiv.org/abs/2105.01237v1

    • [cs.CV]Canonical Saliency Maps: Decoding Deep Face Models
    Thrupthi Ann John, Vineeth N Balasubramanian, C V Jawahar
    http://arxiv.org/abs/2105.01386v1

    • [cs.CV]Combining Supervised and Un-supervised Learning for Automatic Citrus Segmentation
    Heqing Huang, Tongbin Huang, Zhen Li, Zhiwei Wei, Shilei Lv
    http://arxiv.org/abs/2105.01553v1

    • [cs.CV]Computer vision for liquid samples in hospitals and medical labs using hierarchical image segmentation and relations prediction
    Sagi Eppel, Haoping Xu, Alan Aspuru-Guzik
    http://arxiv.org/abs/2105.01456v1

    • [cs.CV]Dual-Cross Central Difference Network for Face Anti-Spoofing
    Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao
    http://arxiv.org/abs/2105.01290v1

    • [cs.CV]End-to-end One-shot Human Parsing
    Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao
    http://arxiv.org/abs/2105.01241v1

    • [cs.CV]Hallucination Improves Few-Shot Object Detection
    Weilin Zhang, Yu-Xiong Wang
    http://arxiv.org/abs/2105.01294v1

    • [cs.CV]LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
    Hao-Hsiang Yang, Kuan-Chih Huang, Wei-Ting Chen
    http://arxiv.org/abs/2105.01299v1

    • [cs.CV]Leveraging Third-Order Features in Skeleton-Based Action Recognition
    Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, RI, McKay, Saeed Anwar, Tom Gedeon
    http://arxiv.org/abs/2105.01563v1

    • [cs.CV]MLP-Mixer: An all-MLP Architecture for Vision
    Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
    http://arxiv.org/abs/2105.01601v1

    • [cs.CV]Motion-Augmented Self-Training for Video Recognition at Smaller Scale
    Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek
    http://arxiv.org/abs/2105.01646v1

    • [cs.CV]Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification
    Yunhao Zhou, Yi Wang, Lap-Pui Chau
    http://arxiv.org/abs/2105.01447v1

    • [cs.CV]Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model
    Hung-Min Hsu, Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang, Kwang-Ju Kim
    http://arxiv.org/abs/2105.01213v1

    • [cs.CV]One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
    Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu
    http://arxiv.org/abs/2105.01353v1

    • [cs.CV]Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
    Òscar Lorente, Josep R. Casas, Santiago Royo, Ivan Caminal
    http://arxiv.org/abs/2105.01151v1

    • [cs.CV]Prediction of clinical tremor severity using Rank Consistent Ordinal Regression
    Li Zhang, Vijay Yadav, Vidya Koesmahargyo, Anzar Abbas, Isaac Galatzer-Levy
    http://arxiv.org/abs/2105.01133v1

    • [cs.CV]Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models
    Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, Aravinda C V, Amar Prabhu G, Lin Meng
    http://arxiv.org/abs/2105.00777v2

    • [cs.CV]Remote Pathological Gait Classification System
    Pedro Albuquerque, Joao Machado, Tanmay Tulsidas Verlekar, Luis Ducla Soares, Paulo Lobato Correia
    http://arxiv.org/abs/2105.01634v1

    • [cs.CV]Representation Learning for Clustering via Building Consensus
    Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Urun Dogan
    http://arxiv.org/abs/2105.01289v1

    • [cs.CV]Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)
    Le-Anh Tran, Truong-Dong Do, Dong-Chul Park, My-Ha Le
    http://arxiv.org/abs/2105.01580v1

    • [cs.CV]Self-Supervised Approach for Facial Movement Based Optical Flow
    Muhannad Alkaddour, Usman Tariq, Abhinav Dhall
    http://arxiv.org/abs/2105.01256v1

    • [cs.CV]Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3
    Alessio Schiavo, Filippo Minutella, Mattia Daole, Marsha Gomez Gomez
    http://arxiv.org/abs/2105.01147v1

    • [cs.CV]Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
    I-Hsuan Li
    http://arxiv.org/abs/2105.01502v1

    • [cs.CV]The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory
    Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava
    http://arxiv.org/abs/2105.01652v1

    • [cs.CV]Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
    Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai
    http://arxiv.org/abs/2105.01288v1

    • [cs.CV]Weak Multi-View Supervision for Surface Mapping Estimation
    Nishant Rai, Aidas Liaudanskas, Srinivas Rao, Rodrigo Ortiz Cayon, Matteo Munaro, Stefan Holzer
    http://arxiv.org/abs/2105.01388v1

    • [cs.CV]Where and When: Space-Time Attention for Audio-Visual Explanations
    Yanbei Chen, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
    http://arxiv.org/abs/2105.01517v1

    • [cs.CY]Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education
    Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
    http://arxiv.org/abs/2105.01432v1

    • [cs.DC]Architecture of a Flexible and Cost-Effective Remote Code Execution Engine
    Ayaz Hafiz, Kevin Jin
    http://arxiv.org/abs/2105.01266v1

    • [cs.DC]Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver
    Weile We, Eduardo D’Azevedo, Kevin Huck, Arghya Chatterjee, Oscar Hernandez, Hartmut Kaiser
    http://arxiv.org/abs/2105.00027v1

    • [cs.FL]Signal automata and hidden Markov models
    Teodor Knapik
    http://arxiv.org/abs/2105.01341v1

    • [cs.GR]Orienting Point Clouds with Dipole Propagation
    Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
    http://arxiv.org/abs/2105.01604v1

    • [cs.GT]Two-Stage Facility Location Games with Strategic Clients and Facilities
    Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik
    http://arxiv.org/abs/2105.01425v1

    • [cs.IR]Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
    Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
    http://arxiv.org/abs/2105.01064v1

    • [cs.IR]Apparel Recommender System based on Bilateral image shape features
    Yichi Lu, Mingtian Gao, Ryosuke Saga
    http://arxiv.org/abs/2105.01541v1

    • [cs.IR]GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
    Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth
    http://arxiv.org/abs/2104.14994v2

    • [cs.IR]PreSizE: Predicting Size in E-Commerce using Transformers
    Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus
    http://arxiv.org/abs/2105.01564v1

    • [cs.IT]Area Rate Efficiency in Molecular Communications
    Lukas Brand, Sebastian Lotter, Vahid Jamali, Robert Schober
    http://arxiv.org/abs/2105.01590v1

    • [cs.IT]Codes for the Z-channel
    Nikita Polyanskii, Yihan Zhang
    http://arxiv.org/abs/2105.01427v1

    • [cs.IT]Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G
    Shu Fu, Jie Gao, Lian Zhao
    http://arxiv.org/abs/2105.01259v1

    • [cs.IT]Consistent Density Estimation Under Discrete Mixture Models
    Luc Devroye, Alex Dytso
    http://arxiv.org/abs/2105.01108v1

    • [cs.IT]Continuous indetermination and average likelihood minimization
    Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino
    http://arxiv.org/abs/2105.01348v1

    • [cs.IT]Deep Extended Feedback Codes
    Anahid Robert Safavi, Alberto G. Perotti, Branislav M. Popovic, Mahdi Boloursaz Mashhadi, Deniz Gunduz
    http://arxiv.org/abs/2105.01365v1

    • [cs.IT]Effects of Quantization on the Multiple-Round Secret-Key Capacity
    Onur Günlü, Ueli Maurer, João Ribeiro
    http://arxiv.org/abs/2105.01350v1

    • [cs.IT]Holographic MIMO Communications
    Andrea Pizzo, Luca Sanguinetti, Thomas L. Marzetta
    http://arxiv.org/abs/2105.01535v1

    • [cs.IT]Intersection Patterns in Optimal Binary Doubling Subspace Codes
    Anirban Ghatak, Sumanta Mukherjee
    http://arxiv.org/abs/2105.01584v1

    • [cs.IT]Multiparty Interactive Coding over Networks of Intersecting Broadcast Links
    Manuj Mukherjee, Ran Gelles
    http://arxiv.org/abs/2105.01506v1

    • [cs.IT]Randomized Multiple Model Multiple Hypothesis Tracking
    Haiqi Liu, Xiaojing Shen, Zhiguo Wang, Fanqin Meng, Junfeng Wang, Pramod, Varshney
    http://arxiv.org/abs/2105.01379v1

    • [cs.IT]Small-Sample Inferred Adaptive Recoding for Batched Network Coding
    Jie Wang, Zhiyuan Jia, Hoover H. F. Yin, Shenghao Yang
    http://arxiv.org/abs/2105.01370v1

    • [cs.IT]Type IV-II codes over Z4 constructed from generalized bent functions
    Sara Ban, Sanja Rukavina
    http://arxiv.org/abs/2105.01208v1

    • [cs.LG]A Finer Calibration Analysis for Adversarial Robustness
    Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
    http://arxiv.org/abs/2105.01550v1

    • [cs.LG]A Review on Oracle Issues in Machine Learning
    Diogo Seca
    http://arxiv.org/abs/2105.01407v1

    • [cs.LG]All-Clear Flare Prediction Using Interval-based Time Series Classifiers
    Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal Angryk
    http://arxiv.org/abs/2105.01202v1

    • [cs.LG]Broadly Applicable Targeted Data Sample Omission Attacks
    Guy Barash, Eitan Farchi, Sarit Kraus, Onn Shehory
    http://arxiv.org/abs/2105.01560v1

    • [cs.LG]Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany
    Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, Gina Lopez, Wenzhi Zeng, Frank Ewert, Thomas Gaiser, Jaber Rahimi
    http://arxiv.org/abs/2105.01282v1

    • [cs.LG]Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
    Cláudio Sardinha, Anna C. Finamore, Rui Henriques
    http://arxiv.org/abs/2105.01125v1

    • [cs.LG]Convergence Analysis and System Design for Federated Learning over Wireless Networks
    Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. letaief
    http://arxiv.org/abs/2105.00872v1

    • [cs.LG]Data-Efficient Reinforcement Learning for Malaria Control
    Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
    http://arxiv.org/abs/2105.01620v1

    • [cs.LG]Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
    Ashley Peake, Joe McCalmon, Yixin Zhang, Daniel Myers, Sarra Alqahtani, Paul Pauca
    http://arxiv.org/abs/2105.01606v1

    • [cs.LG]Deep-learning-based coupled flow-geomechanics surrogate model for CO sequestration
    Meng Tang, Xin Ju, Louis J. Durlofsky
    http://arxiv.org/abs/2105.01334v1

    • [cs.LG]EBIC.JL — an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia
    Paweł Renc, Patryk Orzechowski, Aleksander Byrski, Jarosław Wąs, Jason H. Moore
    http://arxiv.org/abs/2105.01196v1

    • [cs.LG]Effective Sparsification of Neural Networks with Global Sparsity Constraint
    Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang
    http://arxiv.org/abs/2105.01571v1

    • [cs.LG]Enhancing Generalizability of Predictive Models with Synergy of Data and Physics
    Yingjun Shen, Zhe Song, Andrew Kusiak
    http://arxiv.org/abs/2105.01429v1

    • [cs.LG]Fusing multimodal neuroimaging data with a variational autoencoder
    Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey Plis, Vince Calhoun
    http://arxiv.org/abs/2105.01128v1

    • [cs.LG]GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
    Xin Zhang, Jia Liu, Zhengyuan Zhu, Elizabeth S. Bentley
    http://arxiv.org/abs/2105.01231v1

    • [cs.LG]Graph Pooling via Coarsened Graph Infomax
    Yunsheng Pang, Yunxiang Zhao, Dongsheng Li
    http://arxiv.org/abs/2105.01275v1

    • [cs.LG]Iterated learning for emergent systematicity in VQA
    Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville
    http://arxiv.org/abs/2105.01119v1

    • [cs.LG]LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests
    Fabián Villena
    http://arxiv.org/abs/2105.01209v1

    • [cs.LG]Learning 3D Granular Flow Simulations
    Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
    http://arxiv.org/abs/2105.01636v1

    • [cs.LG]Learning Traffic Speed Dynamics from Visualizations
    Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari, Monica Menendez
    http://arxiv.org/abs/2105.01423v1

    • [cs.LG]Machine Learning Applications for Therapeutic Tasks with Genomics Data
    Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
    http://arxiv.org/abs/2105.01171v1

    • [cs.LG]Multipath Graph Convolutional Neural Networks
    Rangan Das, Bikram Boote, Saumik Bhattacharya, Ujjwal Maulik
    http://arxiv.org/abs/2105.01510v1

    • [cs.LG]Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A
    Alberto Archetti, Marco Cannici, Matteo Matteucci
    http://arxiv.org/abs/2105.01480v1

    • [cs.LG]NeuralLog: a Neural Logic Language
    Victor Guimarães, Vítor Santos Costa
    http://arxiv.org/abs/2105.01442v1

    • [cs.LG]Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
    Weijia Zhang
    http://arxiv.org/abs/2105.01276v1

    • [cs.LG]On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
    Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler
    http://arxiv.org/abs/2105.01648v1

    • [cs.LG]On the Linear convergence of Natural Policy Gradient Algorithm
    Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri
    http://arxiv.org/abs/2105.01424v1

    • [cs.LG]Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
    Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
    http://arxiv.org/abs/2105.01445v1

    • [cs.LG]OpTorch: Optimized deep learning architectures for resource limited environments
    Salman Ahmed, Hammad Naveed
    http://arxiv.org/abs/2105.00619v2

    • [cs.LG]Optimal Algorithms for Range Searching over Multi-Armed Bandits
    Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul
    http://arxiv.org/abs/2105.01390v1

    • [cs.LG]Poisoning the Unlabeled Dataset of Semi-Supervised Learning
    Nicholas Carlini
    http://arxiv.org/abs/2105.01622v1

    • [cs.LG]PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
    Gonçalo Raposo, Pedro Tomás, Nuno Roma
    http://arxiv.org/abs/2105.00053v2

    • [cs.LG]Process Model Forecasting Using Time Series Analysis of Event Sequence Data
    Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
    http://arxiv.org/abs/2105.01092v1

    • [cs.LG]Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
    Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
    http://arxiv.org/abs/2105.01593v1

    • [cs.LG]Reinforcement Learning for Ridesharing: A Survey
    Zhiwei Qin, Hongtu Zhu, Jieping Ye
    http://arxiv.org/abs/2105.01099v1

    • [cs.LG]Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
    Arash Amini, Guangyi Liu, Nader Motee
    http://arxiv.org/abs/2105.00996v2

    • [cs.LG]Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media
    Muhammad Zain Ali, Kashif Javed, Ehsan ul Haq, Anoshka Tariq
    http://arxiv.org/abs/2105.01468v1

    • [cs.LG]Supervised multi-specialist topic model with applications on large-scale electronic health record data
    Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David Buckeridge, Ariane Marelli, Yue Li
    http://arxiv.org/abs/2105.01238v1

    • [cs.LG]The Tracking Machine Learning challenge : Throughput phase
    Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
    http://arxiv.org/abs/2105.01160v1

    • [cs.LG]TimeGym: Debugging for Time Series Modeling in Python
    Diogo Seca
    http://arxiv.org/abs/2105.01404v1

    • [cs.LG]Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
    A. I. Parkes, A. J. Sobey, D. A. Hudson
    http://arxiv.org/abs/2105.01567v1

    • [cs.LG]Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
    Burak Bartan, Mert Pilanci
    http://arxiv.org/abs/2105.01420v1

    • [cs.LG]Using Twitter Attribute Information to Predict Stock Prices
    Roderick Karlemstrand, Ebba Leckström
    http://arxiv.org/abs/2105.01402v1

    • [cs.LG]VersaGNN: a Versatile accelerator for Graph neural networks
    Feng Shi, Ahren Yiqiao Jin, Song-Chun Zhu
    http://arxiv.org/abs/2105.01280v1

    • [cs.LG]Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification
    Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
    http://arxiv.org/abs/2105.01198v1

    • [cs.LG]WiFi Fingerprint Clustering for Urban Mobility Analysis
    Sumudu HasalaMarakkalage, Billy Pik Lik Lau, Yuren Zhou, Ran Liu, Chau Yuen, Wei Quin Yow, Keng Hua Chong
    http://arxiv.org/abs/2105.01274v1

    • [cs.LG]mil-benchmarks: Standardized Evaluation of Deep Multiple-Instance Learning Techniques
    Daniel Grahn
    http://arxiv.org/abs/2105.01443v1

    • [cs.MA]Polynomial-Time Algorithms for Multi-Agent Minimal-Capacity Planning
    Murat Cubuktepe, František Blahoudek, Ufuk Topcu
    http://arxiv.org/abs/2105.01225v1

    • [cs.MM]An Estimation of Online Video User Engagement from Features of Continuous Emotions
    Lukas Stappen, Alice Baird, Michelle Lienhart, Annalena Bätz, Björn Schuller
    http://arxiv.org/abs/2105.01633v1

    • [cs.NE]A Single-Layer Asymmetric RNN: Potential Low Hardware Complexity Linear Equation Solver
    Mohammad Samar Ansari
    http://arxiv.org/abs/2105.00293v2

    • [cs.NE]Reservoir Stack Machines
    Benjamin Paaßen, Alexander Schulz, Barbara Hammer
    http://arxiv.org/abs/2105.01616v1

    • [cs.NI]Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis
    Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang, Thang X. Vu, Eryk Dutkiewicz, Symeon Chatzinotas
    http://arxiv.org/abs/2105.01308v1

    • [cs.NI]Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning
    Keyvan Ramezanpour, Jithin Jagannath
    http://arxiv.org/abs/2105.01478v1

    • [cs.NI]Real-Time Guarantees for Critical Traffic in IEEE 802.1Qbv TSN Networks with Unscheduled and Unsynchronized End-Systems
    Mohammadreza Barzegaran, Niklas Reusch, Luxi Zhao, Silviu S. Craciunas, Paul Pop
    http://arxiv.org/abs/2105.01641v1

    • [cs.RO]Autonomous Robotic Mapping of Fragile Geologic Features
    Zhiang Chen, J Ramon Arrowsmith, Jnaneshwar Das
    http://arxiv.org/abs/2105.01287v1

    • [cs.RO]CFEAR Radarodometry — Conservative Filtering for Efficient and Accurate Radar Odometry
    Daniel Adolfsson, Martin Magnusson, Anas Alhashimi, Achim J. Lilienthal, Henrik Andreasson
    http://arxiv.org/abs/2105.01457v1

    • [cs.RO]Lidar Scan Registration Robust to Extreme Motions
    Simon-Pierre Deschênes, Dominic Baril, Vladimír Kubelka, Philippe Giguère, François Pomerleau
    http://arxiv.org/abs/2105.01215v1

    • [cs.RO]Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions
    Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil Prokhorov, Georgios Fainekos
    http://arxiv.org/abs/2105.01204v1

    • [cs.RO]Self-Improving Semantic Perception on a Construction Robot
    Hermann Blum, Francesco Milano, René Zurbrügg, Roland Siegward, Cesar Cadena, Abel Gawel
    http://arxiv.org/abs/2105.01595v1

    • [cs.SD]Streaming end-to-end speech recognition with jointly trained neural feature enhancement
    Chanwoo Kim, Abhinav Garg, Dhananjaya Gowda, Seongkyu Mun, Changwoo Han
    http://arxiv.org/abs/2105.01254v1

    • [cs.SD]VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding
    Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
    http://arxiv.org/abs/2105.01531v1

    • [cs.SE]Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
    Md Abdullah Al Alamin, Gias Uddin
    http://arxiv.org/abs/2105.01195v1

    • [cs.SI]Gaining Insights on Student Course Selection in Higher Education with Community Detection
    Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
    http://arxiv.org/abs/2105.01589v1

    • [cs.SI]Recovering Barabási-Albert Parameters of Graphs through Disentanglement
    Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr
    http://arxiv.org/abs/2105.00997v2

    • [cs.SI]Textual Analysis of Communications in COVID-19 Infected Community on Social Media
    Yuhan Liu, Yuhan Gao, Zhifan Nan, Long Chen
    http://arxiv.org/abs/2105.01189v1

    • [econ.GN]Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets
    Martin Huber, Jonas Meier, Hannes Wallimann
    http://arxiv.org/abs/2105.01426v1

    • [eess.IV]Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning
    Ecem Sogancioglu, Keelin Murphy, Ernst Th. Scholten, Luuk H. Boulogne, Mathias Prokop, Bram van Ginneken
    http://arxiv.org/abs/2105.01181v1

    • [eess.IV]COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
    Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong
    http://arxiv.org/abs/2105.01284v1

    • [eess.IV]Event Camera Simulator Design for Modeling Attention-based Inference Architectures
    Md Jubaer Hossain Pantho, Joel Mandebi Mbongue, Pankaj Bhowmik, Christophe Bobda
    http://arxiv.org/abs/2105.01203v1

    • [eess.IV]Robust 3D Cell Segmentation: Extending the View of Cellpose
    Dennis Eschweiler, Johannes Stegmaier
    http://arxiv.org/abs/2105.00794v1

    • [eess.IV]Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
    Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
    http://arxiv.org/abs/2105.01218v1

    • [eess.SP]End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels
    Songyan Xue, Yi Ma, Na Yi
    http://arxiv.org/abs/2105.01260v1

    • [math.DG]Riemannian Geometry with differentiable ambient space and metric operator
    Du Nguyen
    http://arxiv.org/abs/2105.01583v1

    • [math.NA]A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
    Jianfeng Lu, Yulong Lu
    http://arxiv.org/abs/2105.01228v1

    • [math.NA]Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators
    Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
    http://arxiv.org/abs/2105.01303v1

    • [math.OC]Regret-Optimal Full-Information Control
    Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi
    http://arxiv.org/abs/2105.01244v1

    • [math.OC]The distributed dual ascent algorithm is robust to asynchrony
    Mattia Bianchi, Wicak Ananduta, Sergio Grammatico
    http://arxiv.org/abs/2105.01372v1

    • [math.PR]On the stability of the stochastic gradient Langevin algorithm with dependent data stream
    Miklós Rásonyi, Kinga Tikosi
    http://arxiv.org/abs/2105.01422v1

    • [math.ST]Estimating the conditional distribution in functional regression problems
    Siegfried Hörmann, Thomas Kuenzer, Gregory Rice
    http://arxiv.org/abs/2105.01412v1

    • [math.ST]Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
    Jue Hou, Zijian Guo, Tianxi Cai
    http://arxiv.org/abs/2105.01264v1

    • [physics.soc-ph]Consensus Dynamics and Opinion Formation on Hypergraphs
    Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub
    http://arxiv.org/abs/2105.01369v1

    • [q-bio.NC]Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi
    Apoorv Kishore, Vivek Saraswat, Udayan Ganguly
    http://arxiv.org/abs/2105.01358v1

    • [quant-ph]Distributed Quantum Computing with QMPI
    Thomas Häner, Damian S. Steiger, Torsten Hoefler, Matthias Troyer
    http://arxiv.org/abs/2105.01109v1

    • [quant-ph]Towards security recommendations for public-key infrastructures for production environments in the post-quantum era
    S. E. Yunakovsky, M. Kot, N. O. Pozhar, D. Nabokov, M. A. Kudinov, A. Guglya, E. O. Kiktenko, E. Kolycheva, A. Borisov, A. K. Fedorov
    http://arxiv.org/abs/2105.01324v1

    • [stat.AP]Modelling age-related changes in executive functions of soccer players
    Vincent Chin, Adam Beavan, Job Fransen, Jan Mayer, Robert Kohn, Louise M. Ryan, Scott A. Sisson
    http://arxiv.org/abs/2105.01226v1

    • [stat.AP]Multi-resolution Spatial Regression for Aggregated Data with an Application to Crop Yield Prediction
    Harrison Zhu, Adam Howes, Owen van Eer, Maxime Rischard, Dino Sejdinovic, Seth Flaxman
    http://arxiv.org/abs/2105.01460v1

    • [stat.AP]Reflection on modern methods: a note on variance estimation when using inverse probability weighting to handle attrition in cohort studies
    Marie-Astrid Metten, Nathalie Costet, J. -F. Viel, Guillaume Chauvet
    http://arxiv.org/abs/2105.01330v1

    • [stat.CO]Good distribution modelling with the R package good
    Jordi Tur, David Moriña, Pedro Puig, Alejandra Cabaña, Argimiro Arratia, Amanda Fernández-Fontelo
    http://arxiv.org/abs/2105.01557v1

    • [stat.ME]A flexible forecasting model for production systems
    Reza Hosseini, Kaixu Yang, Albert Chen, Sayan Patra
    http://arxiv.org/abs/2105.01098v1

    • [stat.ME]Combining Broad and Narrow Case Definitions in Matched Case-Control Studies
    Ting Ye, Dylan S. Small
    http://arxiv.org/abs/2105.01124v1

    • [stat.ME]Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models
    Neha Agarwala, Junyong Park, Anindya Roy
    http://arxiv.org/abs/2105.01157v1

    • [stat.ME]Micro-level network dynamics of scientific collaboration and impact: relational hyperevent models for the analysis of coauthor networks
    Jürgen Lerner, Marian-Gabriel Hâncean
    http://arxiv.org/abs/2105.01562v1

    • [stat.ME]Misuse of the sign test in narrative synthesis of evidence
    Stavros Nikolakopoulos
    http://arxiv.org/abs/2105.00672v2

    • [stat.ME]Modern Subsampling Methods for Large-Scale Least Squares Regression
    Tao Li, Cheng Meng
    http://arxiv.org/abs/2105.01552v1

    • [stat.ME]Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
    Xiaoyu Zhang, Di Wang, Heng Lian, Guodong Li
    http://arxiv.org/abs/2105.01278v1

    • [stat.ME]Occam Factor for Gaussian Models With Unknown Variance Structure
    Zachary M. Pisano, Daniel Q. Naiman, Carey E. Priebe
    http://arxiv.org/abs/2105.01566v1

    • [stat.ME]Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
    Zhengling Qi, Rui Miao, Xiaoke Zhang
    http://arxiv.org/abs/2105.01187v1

    • [stat.ME]Reconciling design-based and model-based causal inferences for split-plot experiments
    Anqi Zhao, Peng Ding
    http://arxiv.org/abs/2105.01184v1

    • [stat.ME]Resampling Methods for Detecting Anisotropic Correlation Structure
    Assaf Rabinowicz, Saharon Rosset
    http://arxiv.org/abs/2105.01654v1

    • [stat.ME]Semiparametric Spatiotemporal Model with Mixed Frequencies
    Vladimir A. Malabanan, Joseph Ryan G. Lansangan, Erniel B. Barrios
    http://arxiv.org/abs/2105.01322v1

    • [stat.ME]Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
    Alexander Modell, Patrick Rubin-Delanchy
    http://arxiv.org/abs/2105.00987v2

    • [stat.ME]The Lévy combination test
    Daniel J. Wilson
    http://arxiv.org/abs/2105.01501v1

    • [stat.ME]Variational Inference and Sparsity in High-Dimensional Deep Gaussian Mixture Models
    Lucas Kock, Nadja Klein, David J. Nott
    http://arxiv.org/abs/2105.01496v1

    • [stat.ME]What can the millions of random treatments in nonexperimental data reveal about causes?
    Andre F. Ribeiro, Frank Neffke, Ricardo Hausmann
    http://arxiv.org/abs/2105.01152v1

    • [stat.ML]Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models
    Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, Verena Wolf
    http://arxiv.org/abs/2105.01536v1

    • [stat.ML]Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
    Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter
    http://arxiv.org/abs/2105.01441v1

    • [stat.ML]Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
    Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
    http://arxiv.org/abs/2105.01637v1

    • [stat.ML]Learning Good State and Action Representations via Tensor Decomposition
    Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang
    http://arxiv.org/abs/2105.01136v1

    • [stat.ML]On the Sample Complexity of Rank Regression from Pairwise Comparisons
    Berkan Kadioglu, Peng Tian, Jennifer Dy, Deniz Erdogmus, Stratis Ioannidis
    http://arxiv.org/abs/2105.01463v1

    • [stat.ML]Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis
    Stephan Wojtowytsch
    http://arxiv.org/abs/2105.01650v1