astro-ph.EP - 地球与行星天体
    cs.AI - 人工智能
    cs.CE - 计算工程、 金融和科学
    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.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.ET - 新兴技术
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MA - 多代理系统
    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.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.OC - 优化与控制
    math.ST - 统计理论
    q-bio.QM - 定量方法
    q-fin.TR - 贸易与市场微观结构
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.EP]Improving exoplanet detection capabilities with the false inclusion probability. Comparison with other detection criteria in the context of radial velocities
    • [cs.AI]An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution
    • [cs.AI]Building Affordance Relations for Robotic Agents - A Review
    • [cs.AI]Control of mental representations in human planning
    • [cs.AI]Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning
    • [cs.AI]Efficient PAC Reinforcement Learning in Regular Decision Processes
    • [cs.AI]Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
    • [cs.AI]Neural-Symbolic Commonsense Reasoner with Relation Predictors
    • [cs.AI]Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving
    • [cs.AI]SAT-Based Rigorous Explanations for Decision Lists
    • [cs.AI]XAI Handbook: Towards a Unified Framework for Explainable AI
    • [cs.CE]Partitioned Deep Learning of Fluid-Structure Interaction
    • [cs.CE]The cross-sectional distribution of portfolio returns and applications
    • [cs.CL]A cost-benefit analysis of cross-lingual transfer methods
    • [cs.CL]Adversarial Learning for Zero-Shot Stance Detection on Social Media
    • [cs.CL]BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT
    • [cs.CL]Classifying Long Clinical Documents with Pre-trained Transformers
    • [cs.CL]Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
    • [cs.CL]DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing
    • [cs.CL]DialSumm: A Real-Life Scenario Dialogue Summarization Dataset
    • [cs.CL]Distilling BERT for low complexity network training
    • [cs.CL]Do Context-Aware Translation Models Pay the Right Attention?
    • [cs.CL]Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
    • [cs.CL]EASE: Extractive-Abstractive Summarization with Explanations
    • [cs.CL]Generating Empathetic Responses with a Large Scale Dialog Dataset
    • [cs.CL]Joint Retrieval and Generation Training for Grounded Text Generation
    • [cs.CL]Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
    • [cs.CL]NLP is Not enough — Contextualization of User Input in Chatbots
    • [cs.CL]Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
    • [cs.CL]Plot and Rework: Modeling Storylines for Visual Storytelling
    • [cs.CL]QAConv: Question Answering on Informative Conversations
    • [cs.CL]SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
    • [cs.CL]Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
    • [cs.CL]Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
    • [cs.CL]Towards Navigation by Reasoning over Spatial Configurations
    • [cs.CR]Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments
    • [cs.CV]Attentional Prototype Inference for Few-Shot Semantic Segmentation
    • [cs.CV]Automated segmentation of microtomography imaging of Egyptian mummies
    • [cs.CV]Automatic Non-Linear Video Editing Transfer
    • [cs.CV]Biometrics: Trust, but Verify
    • [cs.CV]City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
    • [cs.CV]Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
    • [cs.CV]Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
    • [cs.CV]Directional GAN: A Novel Conditioning Strategy for Generative Networks
    • [cs.CV]End-to-end Alternating Optimization for Blind Super Resolution
    • [cs.CV]Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
    • [cs.CV]Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
    • [cs.CV]Facial Age Estimation using Convolutional Neural Networks
    • [cs.CV]Learning Group Activities from Skeletons without Individual Action Labels
    • [cs.CV]Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
    • [cs.CV]Omnimatte: Associating Objects and Their Effects in Video
    • [cs.CV]Open-set Face Recognition for Small Galleries Using Siamese Networks
    • [cs.CV]Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination
    • [cs.CV]REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition
    • [cs.CV]Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
    • [cs.CV]Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
    • [cs.CV]SpikeMS: Deep Spiking Neural Network for Motion Segmentation
    • [cs.CV]Troubleshooting Blind Image Quality Models in the Wild
    • [cs.CV]VICE: Visual Identification and Correction of Neural Circuit Errors
    • [cs.CV]Verification of Size Invariance in DNN Activations using Concept Embeddings
    • [cs.CY]Desperately seeking the impact of learning analytics in education at scale: Marrying data analysis with teaching and learning
    • [cs.CY]Towards Equity and Algorithmic Fairness in Student Grade Prediction
    • [cs.DC]CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
    • [cs.DC]Efficient Parallel Self-Adjusting Computation
    • [cs.DC]Impossibility of Strongly-Linearizable Message-Passing Objects via Simulation by Single-Writer Registers
    • [cs.DC]Linearizability: a Typo
    • [cs.DC]Ready When You Are: Efficient Condition Variables via Delegated Condition Evaluation
    • [cs.DC]Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers
    • [cs.DL]Reasons, Challenges and Some Tools for Doing Reproducible Research in Transportation Research
    • [cs.DS]Fast Stencil Computations using Fast Fourier Transforms
    • [cs.ET]Hierarchical Architectures in Reservoir Computing Systems
    • [cs.GR]Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD models
    • [cs.HC]Simulating Social Acceptability With Agent-based Modeling
    • [cs.HC]Understanding occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
    • [cs.IT]A Tutorial to Sparse Code Multiple Access
    • [cs.IT]BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs
    • [cs.IT]Fast Ambiguous DOA Elimination Method of DOA Measurement for Hybrid Massive MIMO Receiver
    • [cs.IT]Input-distribution-aware parallel decoding of block codes
    • [cs.IT]Performance Analysis of Cell-Free Massive MIMO Systems with Massive Connectivity
    • [cs.IT]Reliable and Secure Short-Packet Communications
    • [cs.LG]Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
    • [cs.LG]Deep learned SVT: Unrolling singular value thresholding to obtain better MSE
    • [cs.LG]DoS and DDoS Mitigation Using Variational Autoencoders
    • [cs.LG]Empirical Evaluation of Biased Methods for Alpha Divergence Minimization
    • [cs.LG]HeunNet: Extending ResNet using Heun’s Methods
    • [cs.LG]How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
    • [cs.LG]Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
    • [cs.LG]Improved Algorithms for Agnostic Pool-based Active Classification
    • [cs.LG]Information-theoretic Evolution of Model Agnostic Global Explanations
    • [cs.LG]Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
    • [cs.LG]Long Short-term Memory RNN
    • [cs.LG]Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
    • [cs.LG]Meta-Inductive Node Classification across Graphs
    • [cs.LG]Monash Time Series Forecasting Archive
    • [cs.LG]Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
    • [cs.LG]Ordering-Based Causal Discovery with Reinforcement Learning
    • [cs.LG]Privacy-preserving Logistic Regression with Secret Sharing
    • [cs.LG]RC2020 Report: Learning De-biased Representations with Biased Representations
    • [cs.LG]Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
    • [cs.LG]Sparsity-Probe: Analysis tool for Deep Learning Models
    • [cs.LG]Thompson Sampling for Gaussian Entropic Risk Bandits
    • [cs.LG]Threshold Martingales and the Evolution of Forecasts
    • [cs.LG]Two novel feature selection algorithms based on crowding distance
    • [cs.MA]Emergent Prosociality in Multi-Agent Games Through Gifting
    • [cs.NE]Efficient Spiking Neural Networks with Radix Encoding
    • [cs.NE]Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms
    • [cs.NE]Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution
    • [cs.NI]A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement
    • [cs.NI]A mmWave Bridge Concept to Solve the Cellular Outdoor-to-Indoor Challenge
    • [cs.RO]Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions
    • [cs.RO]Domestic waste detection and grasping points for robotic picking up
    • [cs.RO]Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and Control
    • [cs.RO]Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
    • [cs.RO]Kinematic control design for wheeled mobile robots with longitudinal and lateral slip
    • [cs.RO]SmartCrawler: An In-pipe Robotic System with Wireless Communication in Water Distribution Systems
    • [cs.RO]Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
    • [cs.RO]Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
    • [cs.SI]An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
    • [cs.SI]On Measuring the Diversity of Organizational Networks
    • [cs.SI]Risk Model of German Corona Warning App - Reloaded
    • [cs.SI]The academic wanderer: structure of collaboration network and relation with research performance
    • [eess.AS]Predicting speech intelligibility from EEG using a dilated convolutional network
    • [eess.AS]Streaming Transformer for Hardware Efficient Voice Trigge
    120a
    r Detection and False Trigger Mitigation
    • [eess.IV]A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution
    • [eess.IV]COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
    • [eess.IV]Dual-Attention Residual Network for Automatic Diagnosis of COVID-19
    • [eess.IV]Exploiting Aliasing for Manga Restoration
    • [eess.IV]One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
    • [eess.SP]A Hypothesis Testing Approach to Nonstationary Source Separation
    • [eess.SP]Deep Learning Based RIS Channel Extrapolation with Element-grouping
    • [eess.SP]Nonuniform Sampling Rate Conversion: An Efficient Approach
    • [math.OC]Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence
    • [math.ST]Calibrating random number generator tests
    • [math.ST]Nadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes
    • [math.ST]On the Bahadur representation of sample quantiles for score functionals
    • [math.ST]Statistical inference for stationary linear models with tapered data
    • [q-bio.QM]Quantified Sleep: Machine learning techniques for observational n-of-1 studies
    • [q-fin.TR]Application of Three Different Machine Learning Methods on Strategy Creation for Profitable Trades on Cryptocurrency Markets
    • [quant-ph]Quantum coarse-graining for extreme dimension reduction in modelling stochastic temporal dynamics
    • [stat.AP]A Spatio-Temporal Model for Predicting Wind Speeds in Southern California
    • [stat.AP]Brazilian Obstetric Observatory
    • [stat.AP]Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis
    • [stat.AP]Extending Models Via Gradient Boosting: An Application to Mendelian Models
    • [stat.ME]A Play on Birds! The staRVe Package for Analyzing Spatio-Temporal Point-Referenced Data in R
    • [stat.ME]Deep Neural Networks Guided Ensemble Learning for Point Estimation in Finite Samples
    • [stat.ME]Improving the Performance of Bayesian Logistic Regression Model with Overdose Control in Oncology Dose-Finding Studies
    • [stat.ME]Inference on function-valued parameters using a restricted score test
    • [stat.ME]Learning Gaussian Graphical Models with Latent Confounders
    • [stat.ME]Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
    • [stat.ML]Adapting deep generative approaches for getting synthetic data with realistic marginal distributions
    • [stat.ML]BNNpriors: A library for Bayesian neural network inference with different prior distributions
    • [stat.ML]Bias, Fairness, and Accountability with AI and ML Algorithms
    • [stat.ML]Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
    • [stat.ML]Priors in Bayesian Deep Learning: A Review

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

    • [astro-ph.EP]Improving exoplanet detection capabilities with the false inclusion probability. Comparison with other detection criteria in the context of radial velocities
    Nathan C. Hara, Nicolas Unger, Jean-Baptiste Delisle, Rodrigo Díaz, Damien Ségransan
    http://arxiv.org/abs/2105.06995v1

    • [cs.AI]An Extension of BIM Using AI: a Multi Working-Machines Pathfinding Solution
    Yusheng Xiang, Kailun Liu, Tianqing Su, Jun Li, Shirui Ouyang, Samuel S. Mao, Marcus Geimer
    http://arxiv.org/abs/2105.06635v1

    • [cs.AI]Building Affordance Relations for Robotic Agents - A Review
    Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick
    http://arxiv.org/abs/2105.06706v1

    • [cs.AI]Control of mental representations in human planning
    Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths
    http://arxiv.org/abs/2105.06948v1

    • [cs.AI]Discovering the Rationale of Decisions: Experiments on Aligning Learning and Reasoning
    Cor Steging, Silja Renooij, Bart Verheij
    http://arxiv.org/abs/2105.06758v1

    • [cs.AI]Efficient PAC Reinforcement Learning in Regular Decision Processes
    Alessandro Ronca, Giuseppe De Giacomo
    http://arxiv.org/abs/2105.06784v1

    • [cs.AI]Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
    Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
    http://arxiv.org/abs/2105.06660v1

    • [cs.AI]Neural-Symbolic Commonsense Reasoner with Relation Predictors
    Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
    http://arxiv.org/abs/2105.06717v1

    • [cs.AI]Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving
    Arash Mohammadhasani, Hamed Mehrivash, Alan Lynch, Zhan Shu
    http://arxiv.org/abs/2105.06517v1

    • [cs.AI]SAT-Based Rigorous Explanations for Decision Lists
    Alexey Ignatiev, Joao Marques-Silva
    http://arxiv.org/abs/2105.06782v1

    • [cs.AI]XAI Handbook: Towards a Unified Framework for Explainable AI
    Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Jörn Hees, Sheraz Ahmed, Andreas Dengel
    http://arxiv.org/abs/2105.06677v1

    • [cs.CE]Partitioned Deep Learning of Fluid-Structure Interaction
    Amin Totounferoush, Axel Schumacher, Miriam Schulte
    http://arxiv.org/abs/2105.06785v1

    • [cs.CE]The cross-sectional distribution of portfolio returns and applications
    Ludovic Calès, Apostolos Chalkis, Ioannis Z. Emiris
    http://arxiv.org/abs/2105.06573v1

    • [cs.CL]A cost-benefit analysis of cross-lingual transfer methods
    Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza, Roberto Lotufo, Rodrigo Nogueira
    http://arxiv.org/abs/2105.06813v1

    • [cs.CL]Adversarial Learning for Zero-Shot Stance Detection on Social Media
    Emily Allaway, Malavika Srikanth, Kathleen McKeown
    http://arxiv.org/abs/2105.06603v1

    • [cs.CL]BERT Busters: Outlier LayerNorm Dimensions that Disrupt BERT
    Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
    http://arxiv.org/abs/2105.06990v1

    • [cs.CL]Classifying Long Clinical Documents with Pre-trained Transformers
    Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
    http://arxiv.org/abs/2105.06752v1

    • [cs.CL]Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
    Shauli Ravfogel, Grusha Prasad, Tal Linzen, Yoav Goldberg
    http://arxiv.org/abs/2105.06965v1

    • [cs.CL]DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing
    Elena Volodina, Yousuf Ali Mohammed, Julia Klezl
    http://arxiv.org/abs/2105.06681v1

    • [cs.CL]DialSumm: A Real-Life Scenario Dialogue Summarization Dataset
    Yulong Chen, Yang Liu, Liang Chen, Yue Zhang
    http://arxiv.org/abs/2105.06762v1

    • [cs.CL]Distilling BERT for low complexity network training
    Bansidhar Mangalwedhekar
    http://arxiv.org/abs/2105.06514v1

    • [cs.CL]Do Context-Aware Translation Models Pay the Right Attention?
    Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig
    http://arxiv.org/abs/2105.06977v1

    • [cs.CL]Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
    Zhixing Tan, Maosong Sun, Yang Liu
    http://arxiv.org/abs/2105.06679v1

    • [cs.CL]EASE: Extractive-Abstractive Summarization with Explanations
    Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad
    http://arxiv.org/abs/2105.06982v1

    • [cs.CL]Generating Empathetic Responses with a Large Scale Dialog Dataset
    Yubo Xie, Pearl Pu
    http://arxiv.org/abs/2105.06829v1

    • [cs.CL]Joint Retrieval and Generation Training for Grounded Text Generation
    Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan
    http://arxiv.org/abs/2105.06597v1

    • [cs.CL]Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
    Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu
    http://arxiv.org/abs/2105.06804v1

    • [cs.CL]NLP is Not enough — Contextualization of User Input in Chatbots
    Nathan Dolbir, Triyasha Dastidar, Kaushik Roy
    http://arxiv.org/abs/2105.06511v1

    • [cs.CL]Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
    Seonghyeon Lee, Dongha Lee, Hwanjo Yu
    http://arxiv.org/abs/2105.06750v1

    • [cs.CL]Plot and Rework: Modeling Storylines for Visual Storytelling
    Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao, Huang, Lun-Wei Ku
    http://arxiv.org/abs/2105.06950v1

    • [cs.CL]QAConv: Question Answering on Informative Conversations
    Chien-She
    2000
    ng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong
    http://arxiv.org/abs/2105.06912v1

    • [cs.CL]SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
    Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu
    http://arxiv.org/abs/2105.06456v2

    • [cs.CL]Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
    Sonia K. Murthy, Robert D. Hawkins, Thomas L. Griffiths
    http://arxiv.org/abs/2105.06546v1

    • [cs.CL]Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
    Huiyuan Lai, Antonio Toral, Malvina Nissim
    http://arxiv.org/abs/2105.06947v1

    • [cs.CL]Towards Navigation by Reasoning over Spatial Configurations
    Yue Zhang, Quan Guo, Parisa Kordjamshidi
    http://arxiv.org/abs/2105.06839v1

    • [cs.CR]Anomaly Detection in Cybersecurity: Unsupervised, Graph-Based and Supervised Learning Methods in Adversarial Environments
    David A. Bierbrauer, Alexander Chang, Will Kritzer, Nathaniel D. Bastian
    http://arxiv.org/abs/2105.06742v1

    • [cs.CV]Attentional Prototype Inference for Few-Shot Semantic Segmentation
    Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
    http://arxiv.org/abs/2105.06668v1

    • [cs.CV]Automated segmentation of microtomography imaging of Egyptian mummies
    Marc Tanti, Camille Berruyer, Paul Tafforeau, Adrian Muscat, Reuben Farrugia, Kenneth Scerri, Gianluca Valentino, V. Armando Solé, Johann A. Briffa
    http://arxiv.org/abs/2105.06738v1

    • [cs.CV]Automatic Non-Linear Video Editing Transfer
    Nathan Frey, Peggy Chi, Weilong Yang, Irfan Essa
    http://arxiv.org/abs/2105.06988v1

    • [cs.CV]Biometrics: Trust, but Verify
    Anil K. Jain, Debayan Deb, Joshua J. Engelsma
    http://arxiv.org/abs/2105.06625v1

    • [cs.CV]City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
    Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
    http://arxiv.org/abs/2105.06623v1

    • [cs.CV]Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
    Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang
    http://arxiv.org/abs/2105.06818v1

    • [cs.CV]Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
    Peijia Chen, Jianhuang Lai, Guangcong Wang, Huajun Zhou
    http://arxiv.org/abs/2105.06714v1

    • [cs.CV]Directional GAN: A Novel Conditioning Strategy for Generative Networks
    Shradha Agrawal, Shankar Venkitachalam, Dhanya Raghu, Deepak Pai
    http://arxiv.org/abs/2105.05712v2

    • [cs.CV]End-to-end Alternating Optimization for Blind Super Resolution
    Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan
    http://arxiv.org/abs/2105.06878v1

    • [cs.CV]Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
    Fernando Navarro, Christopher Watanabe, Suprosanna Shit, Anjany Sekuboyina, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze
    http://arxiv.org/abs/2105.06986v1

    • [cs.CV]Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
    Shaoqi Yu, Xiaorun Li, Shuhan Chen, Liaoying Zhao
    http://arxiv.org/abs/2105.06775v1

    • [cs.CV]Facial Age Estimation using Convolutional Neural Networks
    Adrian Kjærran, Christian Bakke Vennerød, Erling Stray Bugge
    http://arxiv.org/abs/2105.06746v1

    • [cs.CV]Learning Group Activities from Skeletons without Individual Action Labels
    Fabio Zappardino, Tiberio Uricchio, Lorenzo Seidenari, Alberto Del Bimbo
    http://arxiv.org/abs/2105.06754v1

    • [cs.CV]Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
    Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng
    http://arxiv.org/abs/2105.06822v1

    • [cs.CV]Omnimatte: Associating Objects and Their Effects in Video
    Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
    http://arxiv.org/abs/2105.06993v1

    • [cs.CV]Open-set Face Recognition for Small Galleries Using Siamese Networks
    Gabriel Salomon, Alceu Britto, Rafael H. Vareto, William R. Schwartz, David Menotti
    http://arxiv.org/abs/2105.06967v1

    • [cs.CV]Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination
    Farhan Rahman Wasee, Alen Joy, Charalambos Poullis
    http://arxiv.org/abs/2105.06820v1

    • [cs.CV]REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition
    Bruno Degardin, Vasco Lopes, Hugo Proença
    http://arxiv.org/abs/2105.06711v1

    • [cs.CV]Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
    Jinyin Chen, Ruoxi Chen, Haibin Zheng, Zhaoyan Ming, Wenrong Jiang, Chen Cui
    http://arxiv.org/abs/2105.06807v1

    • [cs.CV]Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
    Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu
    http://arxiv.org/abs/2105.06663v1

    • [cs.CV]SpikeMS: Deep Spiking Neural Network for Motion Segmentation
    Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew S. Evanusa, Yiannis Aloimonos
    http://arxiv.org/abs/2105.06562v1

    • [cs.CV]Troubleshooting Blind Image Quality Models in the Wild
    Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
    http://arxiv.org/abs/2105.06747v1

    • [cs.CV]VICE: Visual Identification and Correction of Neural Circuit Errors
    Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister
    http://arxiv.org/abs/2105.06861v1

    • [cs.CV]Verification of Size Invariance in DNN Activations using Concept Embeddings
    Gesina Schwalbe
    http://arxiv.org/abs/2105.06727v1

    • [cs.CY]Desperately seeking the impact of learning analytics in education at scale: Marrying data analysis with teaching and learning
    Olga Viberg, Ake Gronlund
    http://arxiv.org/abs/2105.06680v1

    • [cs.CY]Towards Equity and Algorithmic Fairness in Student Grade Prediction
    Weijie Jiang, Zachary A. Pardos
    http://arxiv.org/abs/2105.06604v1

    • [cs.DC]CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
    Hongpeng Guo, Shuochao Yao, Zhe Yang, Qian Zhou, Klara Nahrstedt
    http://arxiv.org/abs/2105.06524v1

    • [cs.DC]Efficient Parallel Self-Adjusting Computation
    Daniel Anderson, Guy E. Blelloch, Anubhav Baweja, Umut A. Acar
    http://arxiv.org/abs/2105.06712v1

    • [cs.DC]Impossibility of Strongly-Linearizable Message-Passing Objects via Simulation by Single-Writer Registers
    Hagit Attiya, Constantin Enea, Jennifer Welch
    http://arxiv.org/abs/2105.06614v1

    • [cs.DC]Linearizability: a Typo
    Gal Sela, Maurice Herlihy, Erez Petrank
    http://arxiv.org/abs/2105.06737v1

    • [cs.DC]Ready When You Are: Efficient Condition Variables via Delegated Condition Evaluation
    Dave Dice, Alex Kogan
    http://arxiv.org/abs/2105.06961v1

    • [cs.DC]Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers
    Michael Salim, Thomas Uram, J. Taylor Childers, Venkat Vishwanath, Michael E. Papka
    http://arxiv.org/abs/2105.06571v1

    • [cs.DL]Reasons, Challenges and Some Tools for Doing Reproducible Research in Transportation Research
    Zuduo Zheng
    http://arxiv.org/abs/2105.06743v1

    • [cs.DS]Fast Stencil Computations using Fast Fourier Transforms
    Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Yimin Zhu
    http://arxiv.org/abs/2105.06676v1

    • [cs.ET]Hierarchical Architectures in Reservoir Computing Systems
    John Moon, Wei D. Lu
    http://arxiv.org/abs/2105.06923v1

    • [cs.GR]Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD models
    Chiara Romanengo, Andrea Raffo, Yifan Qie, Nabil Anwer, Bianca Falcidieno
    http://arxiv.org/abs/2105.06858v1

    • [cs.HC]Simulating Social Acceptability With Agent-based Modeling
    Alarith Uhde, Marc Hassenzahl
    http://arxiv.org/abs/2105.06730v1

    • [cs.HC]Understanding occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
    Nan Gao, Max Marschall, Jane Burry, Simon Watkins, Flora D. Salim
    http://arxiv.org/abs/2105.06637v1

    • [cs.IT]A Tutorial to Sparse Code Multiple Access
    Saumya Chaturvedi, Zilong Liu, Vivek Ashok Bohara, Anand Srivastava, Pei Xiao
    http://arxiv.org/abs/2105.06860v1

    • [cs.IT]BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs
    Amirmohammad Farzaneh, Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/2105.06708v1

    • [cs.IT]Fast Ambiguous DOA Elimination Method of DOA Measurement for Hybrid Massive MIMO Receiver
    Nuo Chen, Xinyi Jiang, Baihua Shi, Yin Teng, Jinhui Lu, Feng Shu, Jun Zou, Jun Li, Jiangzhou Wang
    http://arxiv.org/abs/2105.06634v1

    • [cs.IT]Input-distribution-aware parallel decoding of block codes
    Carlo Condo, Alex Nicolescu
    http://arxiv.org/abs/2105.06581v1

    • [cs.IT]Performance Analysis of Cell-Free Massive MIMO Systems with Massive Connectivity
    Mangqing Guo, M. Cenk Gursoy
    http://arxiv.org/abs/2105.06586v1

    • [cs.IT]Reliable and Secure Short-Packet Communications
    Chen Feng, Hui-Ming Wang, H. Vincent Poor
    http://arxiv.org/abs/2105.06498v1

    • [cs.LG]Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
    Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
    http://arxiv.org/abs/2105.06791v1

    • [cs.LG]Deep learned SVT: Unrolling singular value thresholding to obtain better MSE
    Siva Shanmugam, Sheetal Kalyani
    http://arxiv.org/abs/2105.06934v1

    • [cs.LG]DoS and DDoS Mitigation Using Variational Autoencoders
    Eirik Molde Bårli, Anis Yazidi, Enrique Herrera Viedma, Hårek Haugerud
    http://arxiv.org/abs/2105.06899v1

    • [cs.LG]Empirical Evaluation of Biased Methods for Alpha Divergence Minimization
    Tomas Geffner, Justin Domke
    http://arxiv.org/abs/2105.06587v1

    • [cs.LG]HeunNet: Extending ResNet using Heun’s Methods
    Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter
    http://arxiv.org/abs/2105.06168v2

    • [cs.LG]How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
    Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei, Zahra HosseiniFard
    http://arxiv.org/abs/2105.06618v1

    • [cs.LG]Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
    Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang
    http://arxiv.org/abs/2105.06649v1

    • [cs.LG]Improved Algorithms for Agnostic Pool-based Active Classification
    Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson
    http://arxiv.org/abs/2105.06499v1

    • [cs.LG]Information-theoretic Evolution of Model Agnostic Global Explanations
    Sukriti Verma, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
    http://arxiv.org/abs/2105.06956v1

    • [cs.LG]Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
    Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang
    http://arxiv.org/abs/2105.06709v1

    • [cs.LG]Long Short-term Memory RNN
    Christian Bakke Vennerød, Adrian Kjærran, Erling Stray Bugge
    http://arxiv.org/abs/2105.06756v1

    • [cs.LG]Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
    Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li
    http://arxiv.org/abs/2105.06715v1

    • [cs.LG]Meta-Inductive Node Classification across Graphs
    Zhihao Wen, Yuan Fang, Zemin Liu
    http://arxiv.org/abs/2105.06725v1

    • [cs.LG]Monash Time Series Forecasting Archive
    Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
    http://arxiv.org/abs/2105.06643v1

    • [cs.LG]Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
    Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang
    http://arxiv.org/abs/2105.06696v1

    • [cs.LG]Ordering-Based Causal Discovery with Reinforcement Learning
    Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
    http://arxiv.org/abs/2105.06631v1

    • [cs.LG]Privacy-preserving Logistic Regression with Secret Sharing
    Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jian
    http://arxiv.org/abs/2105.06869v1

    • [cs.LG]RC2020 Report: Learning De-biased Representations with Biased Representations
    Rwiddhi Chakraborty, Shubhayu Das
    http://arxiv.org/abs/2105.06724v1

    • [cs.LG]Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
    Max Ryabinin, Andrey Malinin, Mark Gales
    http://arxiv.org/abs/2105.06987v1

    • [cs.LG]Sparsity-Probe: Analysis tool for Deep Learning Models
    Ido Ben-Shaul, Shai Dekel
    http://arxiv.org/abs/2105.06849v1

    • [cs.LG]Thompson Sampling for Gaussian Entropic Risk Bandits
    Ming Liang Ang, Eloise Y. Y. Lim, Joel Q. L. Chang
    http://arxiv.org/abs/2105.06960v1

    • [cs.LG]Threshold Martingales and the Evolution of Forecasts
    Dean P. Foster, Robert A. Stine
    http://arxiv.org/abs/2105.06834v1

    • [cs.LG]Two novel feature selection algorithms based on crowding distance
    Abdesslem Layeb
    http://arxiv.org/abs/2105.05212v3

    • [cs.MA]Emergent Prosociality in Multi-Agent Games Through Gifting
    Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
    http://arxiv.org/abs/2105.06593v1

    • [cs.NE]Efficient Spiking Neural Networks with Radix Encoding
    Zhehui Wang, Xiaozhe Gu, Rick Goh, Joey Tianyi Zhou, Tao Luo
    http://arxiv.org/abs/2105.06943v1

    • [cs.NE]Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms
    James Fitzgerald, KongFatt Wong-Lin
    http://arxiv.org/abs/2105.06824v1

    • [cs.NE]Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution
    Rick Boks, Anna V. Kononova, Hao Wang
    http://arxiv.org/abs/2105.06757v1

    • [cs.NI]A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement
    Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
    http://arxiv.org/abs/2105.06741v1

    • [cs.NI]A mmWave Bridge Concept to Solve the Cellular Outdoor-to-Indoor Challenge
    Adrian Schumacher, Ruben Merz, Andreas Burg
    http://arxiv.org/abs/2105.06885v1

    • [cs.RO]Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions
    Wil Thomason, Hadas Kress-Gazit
    http://arxiv.org/abs/2105.06537v1

    • [cs.RO]Domestic waste detection and grasping points for robotic picking up
    Victor De Gea, Santiago T. Puente, Pablo Gil
    http://arxiv.org/abs/2105.06825v1

    • [cs.RO]Fusion of Heterogeneous Friction Estimates for Traction Adaptive Motion Planning and Control
    Lars Svensson, Martin Törngren
    http://arxiv.org/abs/2105.06692v1

    • [cs.RO]Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
    Han Chen, Peng Lu
    http://arxiv.org/abs/2105.06622v1

    • [cs.RO]Kinematic control design for wheeled mobile robots with longitudinal and lateral slip
    Thiago B. Burghi, Juliano G. Iossaqui, Juan F. Camino
    http://arxiv.org/abs/2105.06501v1

    • [cs.RO]SmartCrawler: An In-pipe Robotic System with Wireless Communication in Water Distribution Systems
    Saber Kazeminasab, Roozbeh Jafari, M. Katherine Banks
    http://arxiv.org/abs/2105.06344v1

    • [cs.RO]Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
    Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
    http://arxiv.org/abs/2105.06896v1

    • [cs.RO]Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
    Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan
    http://arxiv.org/abs/2105.06567v1

    • [cs.SI]An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
    Noemi Derzsy, Subhabrata Majumdar, Rajat Malik
    http://arxiv.org/abs/2105.06591v1

    • [cs.SI]On Measuring the Diversity of Organizational Networks
    Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan
    http://arxiv.org/abs/2105.06929v1

    • [cs.SI]Risk Model of German Corona Warning App - Reloaded
    Jens Braband, Hendrik Schäbe
    http://arxiv.org/abs/2105.06645v1

    • [cs.SI]The academic wanderer: structure of collaboration network and relation with research performance
    Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella, Marco Conti
    http://arxiv.org/abs/2105.06840v1

    • [eess.AS]Predicting speech intelligibility from EEG using a dilated convolutional network
    Bernd Accou, Mohammad Jalilpour Monesi, Hugo Van hamme, Tom Francart
    http://arxiv.org/abs/2105.06844v1

    • [eess.AS]Streaming Transformer for Hardware Efficient Voice Trigge
    120a
    r Detection and False Trigger Mitigation
    Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir
    http://arxiv.org/abs/2105.06598v1

    • [eess.IV]A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution
    Qing Ma, Jae Chul Koh, WonSook Lee
    http://arxiv.org/abs/2105.06887v1

    • [eess.IV]COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
    Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
    http://arxiv.org/abs/2105.06640v1

    • [eess.IV]Dual-Attention Residual Network for Automatic Diagnosis of COVID-19
    Jun Shi, Huite Yi, Xiaoyu Hao, Hong An, Wei Wei
    http://arxiv.org/abs/2105.06779v1

    • [eess.IV]Exploiting Aliasing for Manga Restoration
    Minshan Xie, Menghan Xia, Tien-Tsin Wong
    http://arxiv.org/abs/2105.06830v1

    • [eess.IV]One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
    Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
    http://arxiv.org/abs/2105.06653v1

    • [eess.SP]A Hypothesis Testing Approach to Nonstationary Source Separation
    Reza Sameni, Christian Jutten
    http://arxiv.org/abs/2105.06958v1

    • [eess.SP]Deep Learning Based RIS Channel Extrapolation with Element-grouping
    Shunbo Zhang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre
    http://arxiv.org/abs/2105.06850v1

    • [eess.SP]Nonuniform Sampling Rate Conversion: An Efficient Approach
    Pablo Martínez-Nuevo
    http://arxiv.org/abs/2105.06700v1

    • [math.OC]Innovation Compression for Communication-efficient Distributed Optimization with Linear Convergence
    Jiaqi Zhang, Keyou You, Lihua Xie
    http://arxiv.org/abs/2105.06697v1

    • [math.ST]Calibrating random number generator tests
    Boris Ryabko
    http://arxiv.org/abs/2105.06638v1

    • [math.ST]Nadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes
    Nicolas Marie, Amélie Rosier
    http://arxiv.org/abs/2105.06884v1

    • [math.ST]On the Bahadur representation of sample quantiles for score functionals
    Johannes Krebs
    http://arxiv.org/abs/2105.06500v1

    • [math.ST]Statistical inference for stationary linear models with tapered data
    Mamikon S. Ginovyan, Artur A. Sahakyan
    http://arxiv.org/abs/2105.06890v1

    • [q-bio.QM]Quantified Sleep: Machine learning techniques for observational n-of-1 studies
    Gianluca Truda
    http://arxiv.org/abs/2105.06811v1

    • [q-fin.TR]Application of Three Different Machine Learning Methods on Strategy Creation for Profitable Trades on Cryptocurrency Markets
    Mohsen Asgari, Hossein Khasteh
    http://arxiv.org/abs/2105.06827v1

    • [quant-ph]Quantum coarse-graining for extreme dimension reduction in modelling stochastic temporal dynamics
    Thomas J. Elliott
    http://arxiv.org/abs/2105.06831v1

    • [stat.AP]A Spatio-Temporal Model for Predicting Wind Speeds in Southern California
    Mihaela Puica, Fred Espen Benth
    http://arxiv.org/abs/2105.06966v1

    • [stat.AP]Brazilian Obstetric Observatory
    Agatha Rodrigues, Lucas Lacerda, Rossana Pulcineli Vieira Francisco
    http://arxiv.org/abs/2105.06534v1

    • [stat.AP]Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis
    Konstantina Chalkou, Ewout Steyerberg, Patrick Bossuyt, Suvitha Subramanian, Pascal Benkert, Jens Kuhle, Giulio Disanto, Ludwig Kappos, Matthias Egger, Georgia Salanti
    http://arxiv.org/abs/2105.06941v1

    • [stat.AP]Extending Models Via Gradient Boosting: An Application to Mendelian Models
    Theodore Huang, Gregory Idos, Christine Hong, Stephen Gruber, Giovanni Parmigiani, Danielle Braun
    http://arxiv.org/abs/2105.06559v1

    • [stat.ME]A Play on Birds! The staRVe Package for Analyzing Spatio-Temporal Point-Referenced Data in R
    Ethan Lawler, Chris Field, Joanna Mills Flemming
    http://arxiv.org/abs/2105.06902v1

    • [stat.ME]Deep Neural Networks Guided Ensemble Learning for Point Estimation in Finite Samples
    Tianyu Zhan, Haoda Fu, Jian Kang
    http://arxiv.org/abs/2105.06523v1

    • [stat.ME]Improving the Performance of Bayesian Logistic Regression Model with Overdose Control in Oncology Dose-Finding Studies
    Hongtao Zhang, Alan Y Chiang, Jixian Wang
    http://arxiv.org/abs/2105.06855v1

    • [stat.ME]Inference on function-valued parameters using a restricted score test
    Aaron Hudson, Marco Carone, Ali Shojaie
    http://arxiv.org/abs/2105.06646v1

    • [stat.ME]Learning Gaussian Graphical Models with Latent Confounders
    Ke Wang, Alexander Franks, Sang-Yun Oh
    http://arxiv.org/abs/2105.06600v1

    • [stat.ME]Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
    Peng Tang, Huijing Jiang, Heeyoung Kim, Xinwei Deng
    http://arxiv.org/abs/2105.06852v1

    • [stat.ML]Adapting deep generative approaches for getting synthetic data with realistic marginal distributions
    Kiana Farhadyar, Federico Bonofiglio, Daniela Zoeller, Harald Binder
    http://arxiv.org/abs/2105.06907v1

    • [stat.ML]BNNpriors: A library for Bayesian neural network inference with different prior distributions
    Vincent Fortuin, Adrià Garriga-Alonso, Mark van der Wilk, Laurence Aitchison
    http://arxiv.org/abs/2105.06964v1

    • [stat.ML]Bias, Fairness, and Accountability with AI and ML Algorithms
    Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto
    http://arxiv.org/abs/2105.06558v1

    • [stat.ML]Posterior Regularisation on Bayesian Hierarchical Mixture Clustering
    Weipeng Huang, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
    http://arxiv.org/abs/2105.06903v1

    • [stat.ML]Priors in Bayesian Deep Learning: A Review
    Vincent Fortuin
    http://arxiv.org/abs/2105.06868v1