cond-mat.stat-mech - 统计数学

    cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.MS - 数学软件 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.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math-ph - 数学物理 math.AG - 代数几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.QM - 定量方法 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

    • [cond-mat.stat-mech]Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
    • [cs.AI]Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
    • [cs.AI]Hierarchical clustering in particle physics through reinforcement learning
    • [cs.AI]Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making
    • [cs.AI]Optimizing Offer Sets in Sub-Linear Time
    • [cs.AI]Reinforcement Learning of Graph Neural Networks for Service Function Chaining
    • [cs.AI]Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making
    • [cs.AI]Using Explainable Scheduling for the Mars 2020 Rover Mission
    • [cs.AR]Automatic Microprocessor Performance Bug Detection
    • [cs.AR]Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking
    • [cs.AR]Revising the classic computing paradigm and its technological implementations
    • [cs.CL]A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French
    • [cs.CL]A Two-Phase Approach for Abstractive Podcast Summarization
    • [cs.CL]Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
    • [cs.CL]Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
    • [cs.CL]Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
    • [cs.CL]End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features
    • [cs.CL]Facebook AI’s WMT20 News Translation Task Submission
    • [cs.CL]KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
    • [cs.CL]MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining
    • [cs.CL]Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
    • [cs.CL]NLPGym — A toolkit for evaluating RL agents on Natural Language Processing Tasks
    • [cs.CL]Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
    • [cs.CL]Self-supervised Document Clustering Based on BERT with Data Augment
    • [cs.CL]Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
    • [cs.CL]Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants
    • [cs.CR]Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
    • [cs.CR]Feasibility Study on CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety. Jyvaskyla — Case-study of the First City to Benefit from CCTV-aware Technology. (Preprint)
    • [cs.CR]MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus
    • [cs.CR]New (k,l,m)-verifiable multi-secret sharing schemes based on XTR public key system
    • [cs.CR]Private Wireless Federated Learning with Anonymous Over-the-Air Computation
    • [cs.CV]2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
    • [cs.CV]3D CNNs with Adaptive Temporal Feature Resolutions
    • [cs.CV]A Digital Image Processing Approach for Hepatic Diseases Staging based on the Glisson’s Capsule
    • [cs.CV]A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
    • [cs.CV]A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
    • [cs.CV]A New Similarity Space Tailored for Supervised Deep Metric Learning
    • [cs.CV]A Review of Generalized Zero-Shot Learning Methods
    • [cs.CV]ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model
    • [cs.CV]ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
    • [cs.CV]Anatomy Prior Based U-net for Pathology Segmentation with Attention
    • [cs.CV]Assistive Diagnostic Tool for Brain Tumor Detection using Computer Vision
    • [cs.CV]Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
    • [cs.CV]Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization
    • [cs.CV]CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
    • [cs.CV]Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
    • [cs.CV]Deep Active Surface Models
    • [cs.CV]DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
    • [cs.CV]Digging Deeper into CRNN Model in Chinese Text Images Recognition
    • [cs.CV]Domain Adaptation based Technique for Image Emotion Recognition using Pre-trained Facial Expression Recognition Models
    • [cs.CV]EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
    • [cs.CV]EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution
    • [cs.CV]Exploring Intermediate Representation for Monocular Vehicle Pose Estimation
    • [cs.CV]Exploring Self-Attention for Visual Odometry
    • [cs.CV]Extreme Value Preserving Networks
    • [cs.CV]Facial Expressions as a Vulnerability in Face Recognition
    • [cs.CV]Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
    • [cs.CV]Generalized Continual Zero-Shot Learning
    • [cs.CV]Global Road Damage Detection: State-of-the-art Solutions
    • [cs.CV]Learning Canonical Transformations
    • [cs.CV]Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
    • [cs.CV]Multi Receptive Field Network for Semantic Segmentation
    • [cs.CV]Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
    • [cs.CV]Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
    • [cs.CV]Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting
    • [cs.CV]Overcomplete Deep Subspace Clustering Networks
    • [cs.CV]P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
    • [cs.CV]PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
    • [cs.CV]Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers
    • [cs.CV]Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
    • [cs.CV]RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
    • [cs.CV]Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks
    • [cs.CV]SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation
    • [cs.CV]SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation
    • [cs.CV]Semi-Supervised Few-Shot Atomic Action Recognition
    • [cs.CV]Shared Cross-Modal Trajectory Prediction for Autonomous Driving
    • [cs.CV]Slender Object Detection: Diagnoses and Improvements
    • [cs.CV]Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks
    • [cs.CV]Transducer Adaptive Ultrasound Volume Reconstruction
    • [cs.CV]Uncertainty Modelling in Deep Neural Networks for Image Data
    • [cs.CV]Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
    • [cs.CV]Vis-CRF, A Classical Receptive Field Model for VISION
    • [cs.CV]Where Are You? Localization from Embodied Dialog
    • [cs.CY]Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
    • [cs.CY]The COVID19 infodemic. The role and place of academics in science communication
    • [cs.DC]GPURepair: Automated Repair of GPU Kernels
    • [cs.DC]Heterogeneous Paxos: Technical Report
    • [cs.DC]Improved Load Balancing in Large Scale Systems using Attained Service Time Reporting
    • [cs.DC]Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems
    • [cs.DC]Recoverable, Abortable, and Adaptive Mutual Exclusion with Sublogarithmic RMR Complexity
    • [cs.DC]Uniform Bipartition in the Population Protocol Model with Arbitrary Communication Graphs
    • [cs.DL]Deep Learning — A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
    • [cs.GR]FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking
    • [cs.GR]Normalized Weighting Schemes for Image Interpolation Algorithms
    • [cs.IR]Association Rules Enhanced Knowledge Graph Attention Network
    • [cs.IT]5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach
    • [cs.IT]A variational characterisation of projective spherical designs over the quaternions
    • [cs.IT]Asymptotic Rate Analysis for Impairments-Aware Multi-Carrier FD Massive MIMO Relay Networks utilizing MRT/MRC Strategy
    • [cs.IT]Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications
    • [cs.IT]Data-aided Sensing for Distributed Detection
    • [cs.IT]Designing Cost- and Energy-Efficient Cell-Free Massive MIMO Network with Fiber and FSO Fronthaul Links
    • [cs.IT]Fisher Information of a Family of Generalized Normal Distributions
    • [cs.IT]On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial
    • [cs.IT]Resource Allocation of Dual-Hop VLC/RF Systems with Light Energy Harvesting
    • [cs.IT]Tensor-Decomposition-based Hybrid Beamforming Design for mmWave OFDM Massive MIMO Communications
    • [cs.IT]User Clustering in mmWave-NOMA Systems with User Decoding Capability Constraints for B5G Networks
    • [cs.LG]A Deep Neural Network for SSVEP-based Brain Computer Interfaces
    • [cs.LG]A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
    • [cs.LG]A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering
    • [cs.LG]AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
    • [cs.LG]Audience Creation for Consumables — Simple and Scalable Precision Merchandising for a Growing Marketplace
    • [cs.LG]Augmented Fairness: An Interpretable Model Augmenting Decision-Makers’ Fairness
    • [cs.LG]Automatic selection of clustering algorithms using supervised graph embedding
    • [cs.LG]Avoiding Communication in Logistic Regression
    • [cs.LG]Avoiding Tampering Incentives in Deep RL via Decoupled Approval
    • [cs.LG]Close Category Generalization
    • [cs.LG]Cluster-Specific Predictions with Multi-Task Gaussian Processes
    • [cs.LG]DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
    • [cs.LG]Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
    • [cs.LG]Design Space for Graph Neural Networks
    • [cs.LG]Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
    • [cs.LG]Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
    • [cs.LG]Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
    • [cs.LG]Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
    • [cs.LG]Exploring Energy-Accuracy Tradeoffs in AI Hardware
    • [cs.LG]Federated Composite Optimization
    • [cs.LG]Foundations of Bayesian Learning from Synthetic Data
    • [cs.LG]Generating universal language adversarial examples by understanding and enhancing the transferability across neural models
    • [cs.LG]Identification of state functions by physically-guided neural networks with physically-meaningful internal layers
    • [cs.LG]Improving Calibration in Deep Metric Learning With Cross-Example Softmax
    • [cs.LG]Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
    • [cs.LG]Learning outside the Black-Box: The pursuit of interpretable models
    • [cs.LG]Leveraging the Variance of Return Sequences for Exploration Policy
    • [cs.LG]Linear Separation via Optimism
    • [cs.LG]Machine Learning and Soil Humidity Sensing: Signal Strength Approach
    • [cs.LG]Meta Automatic Curriculum Learning
    • [cs.LG]Modality-Buffet for Real-Time Object Detection
    • [cs.LG]Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
    • [cs.LG]Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
    • [cs.LG]Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease
    • [cs.LG]Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention
    • [cs.LG]Privacy-preserving Data Analysis through Representation Learning and Transformation
    • [cs.LG]REALab: An Embedded Perspective on Tampering
    • [cs.LG]Recursive Inference for Variational Autoencoders
    • [cs.LG]Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic’s Hypothesis Space to RKHS
    • [cs.LG]Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
    • [cs.LG]Risk-Constrained Thompson Sampling for CVaR Bandits
    • [cs.LG]Robust Deep Learning with Active Nois
    e64
    e Cancellation for Spatial Computing
    • [cs.LG]Stochastic Client Selection for Federated Learning with Volatile Clients
    • [cs.LG]Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
    • [cs.LG]Sub-clusters of Normal Data for Anomaly Detection
    • [cs.LG]Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
    • [cs.LG]Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
    • [cs.LG]Towards Meta-Algorithm Selection
    • [cs.LO]Answering Regular Path Queries Over SQ Ontologies
    • [cs.MM]Building Movie Map — A Tool for Exploring Areas in a City — and its Evaluation
    • [cs.MS]Deep Learning Framework From Scratch Using Numpy
    • [cs.RO]Adaptive Tracking Control of Soft Robots using Integrated Sensing Skin and Recurrent Neural Networks
    • [cs.RO]Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs
    • [cs.RO]Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
    • [cs.RO]Control Strategies for Autonomous Vehicles
    • [cs.RO]Curiosity Based Reinforcement Learning on Robot Manufacturing Cell
    • [cs.RO]DLRRMS: Deep Learning based Respiratory Rate Monitoring System using Mobile Robots and Edges
    • [cs.RO]Deep Affordance Foresight: Planning Through What Can Be Done in the Future
    • [cs.RO]Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations
    • [cs.RO]Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
    • [cs.RO]Educational robotics for children and their teachers
    • [cs.RO]Fault-Aware Robust Control via Adversarial Reinforcement Learning
    • [cs.RO]Improved Visual-Inertial Localization for Low-cost Rescue Robots
    • [cs.RO]Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing
    • [cs.RO]Knowledge-Augmented Dexterous Grasping with Incomplete Sensing
    • [cs.RO]Learning Dense Rewards for Contact-Rich Manipulation Tasks
    • [cs.RO]Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
    • [cs.RO]Obstacle avoidance-driven controller for safety-critical aerial robots
    • [cs.RO]Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
    • [cs.RO]Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery
    • [cs.SD]Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter
    • [cs.SD]FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
    • [cs.SE]Towards evaluating and eliciting high-quality documentation for intelligent systems
    • [cs.SI]Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure
    • [cs.SI]Conspiracy and debunking narratives about COVID-19 origination on Chinese social media: How it started and who is to blame
    • [cs.SI]Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19
    • [econ.EM]Policy choice in experiments with unknown interference
    • [eess.AS]Refining Automatic Speech Recognition System for older adults
    • [eess.IV]A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity
    • [eess.IV]Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets
    • [eess.IV]Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
    • [eess.IV]Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
    • [eess.SP]A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG
    • [eess.SP]Assessing Wireless Sensing Potential with Large Intelligent Surfaces
    • [eess.SP]Joint Resource Optimization for IRS-Assisted mmWave MIMO under QoS Constraints
    • [eess.SP]Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
    • [eess.SY]Data-Driven Reachability Analysis Using Matrix Zonotopes
    • [eess.SY]Marketing resource allocation in duopolies over social networks
    • [eess.SY]Space-time budget allocation policy design for viral marketing
    • [math-ph]Change the coefficients of conditional entropies in extensivity
    • [math.AG]Complete quadrics: Schubert calculus for Gaussian models and semidefinite programming
    • [math.OC]Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method
    • [math.OC]Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
    • [math.OC]Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
    • [math.OC]Sufficient Conditions for Feasibility of Optimal Control Problems Using Control Barrier Functions
    • [math.OC]The Moment-SOS hierarchy and the Christoffel-Darboux kernel
    • [math.PR]Convergence of Preconditioned Hamiltonian Monte Carlo on Hilbert Spaces
    • [math.ST]Estimating the correlation in network disturbance models
    • [math.ST]Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations
    • [math.ST]Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$
    • [q-bio.QM]A stability-driven protocol for drug response interpretable prediction (staDRIP)
    • [quant-ph]Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
    • [quant-ph]Quantum algorithms for learning graphs and beyond
    • [stat.AP]A statistical machine learning approach for benchmarking in the presence of complex contextual factors and peer groups
    • [stat.AP]Change point detection for COVID-19 excess deaths in Belgium
    • [stat.AP]Data Driven Reaction Mechanism Estimation via Transient Kinetics and Machine Learning
    • [stat.AP]Defying the Circadian Rhythm: Clustering Participant Telemetry in the UK Biobank Data
    • [stat.AP]GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications
    • [stat.AP]Peer groups for organisational learning: clustering with practical constraints
    • [stat.ME]Adjusting the adjusted Rand Index — A multinomial story
    • [stat.ME]Covariance matrix testing in high dimension using random projections
    • [stat.ME]Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
    • [stat.ME]Density Estimation using Entropy Maximization for Semi-continuous Data
    • [stat.ME]Flexible Bivariate INGARCH Process With a Broad Range of Contemporaneous Correlation
    • [stat.ME]Generalized Posteriors in Approximate Bayesian Computation
    • [stat.ME]Model selection for count timeseries with applications in forecasting number of trips in bike-sharing systems and its volatility
    • [stat.ME]Robust correlation for aggregated data with spatial characteristics
    • [stat.ME]Semiparametric proximal causal inference
    • [stat.ME]Sequential scaled sparse factor regression
    • [stat.ML]Coarse-grained and emergent distributed parameter systems from data
    • [stat.ML]Confounding Feature Acquisition for Causal Effect Estimation
    • [stat.ML]Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
    • [stat.ML]Explaining the Adaptive Generalisation Gap
    • [stat.ML]Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders
    • [stat.ML]VIB is Half Bayes

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    • [cond-mat.stat-mech]Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
    Corneel Casert, Tom Vieijra, Stephen Whitelam, Isaac Tamblyn
    http://arxiv.org/abs/2011.08657v1

    • [cs.AI]Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
    Jing Zhang, Dacheng Tao
    http://arxiv.org/abs/2011.08612v1

    • [cs.AI]Hierarchical clustering in particle physics through reinforcement learning
    Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer
    http://arxiv.org/abs/2011.08191v1

    • [cs.AI]Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making
    B Farhadinia, Uwe Aickelin, HA Khorshidi
    http://arxiv.org/abs/2011.08183v1

    • [cs.AI]Optimizing Offer Sets in Sub-Linear Time
    Vivek F. Farias, Andrew A. Li, Deeksha Sinha
    http://arxiv.org/abs/2011.08606v1

    • [cs.AI]Reinforcement Learning of Graph Neural Networks for Service Function Chaining
    DongNyeong Heo, Doyoung Lee, Hee-Gon Kim, Suhyun Park, Heeyoul Choi
    http://arxiv.org/abs/2011.08406v1

    • [cs.AI]Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making
    Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
    http://arxiv.org/abs/2011.08182v1

    • [cs.AI]Using Explainable Scheduling for the Mars 2020 Rover Mission
    Jagriti Agrawal, Amruta Yelamanchili, Steve Chien
    http://arxiv.org/abs/2011.08733v1

    • [cs.AR]Automatic Microprocessor Performance Bug Detection
    Erick Carvajal Barboza, Sara Jacob, Mahesh Ketkar, Michael Kishinevsky, Paul Gratz, Jiang Hu
    http://arxiv.org/abs/2011.08781v1

    • [cs.AR]Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking
    Vignesh Balaji, Brandon Lucia
    http://arxiv.org/abs/2011.08451v1

    • [cs.AR]Revising the classic computing paradigm and its technological implementations
    János Végh
    http://arxiv.org/abs/2011.08455v1

    • [cs.CL]A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French
    Olga Scrivner
    http://arxiv.org/abs/2011.08262v1

    • [cs.CL]A Two-Phase Approach for Abstractive Podcast Summarization
    Kunpeng Zhang, Harry Jiannan Wang, Ling Fan
    http://arxiv.org/abs/2011.08291v1

    • [cs.CL]Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
    Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer
    http://arxiv.org/abs/2011.08678v1

    • [cs.CL]Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
    Chien-Wei Lin, Vincent Auvray, Daniel Elkind, Arijit Biswas, Maryam Fazel-Zarandi, Nehal Belgamwar, Shubhra Chandra, Matt Zhao, Angeliki Metallinou, Tagyoung Chung, Charlie Shucheng Zhu, Suranjit Adhikari, Dilek Hakkani-Tur
    http://arxiv.org/abs/2011.08243v1

    • [cs.CL]Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
    Carla Pérez-Almendros, Luis Espinosa-Anke, Steven Schockaert
    http://arxiv.org/abs/2011.08320v1

    • [cs.CL]End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features
    Edmilson Morais, Hong-Kwang J. Kuo, Samuel Thomas, Zoltan Tuske, Brian Kingsbury
    http://arxiv.org/abs/2011.08238v1

    • [cs.CL]Facebook AI’s WMT20 News Translation Task Submission
    Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu
    http://arxiv.org/abs/2011.08298v1

    • [cs.CL]KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
    Hongru Wang, Min Li, Zimo Zhou, Gabrie, Kam-Fai Wong
    http://arxiv.org/abs/2011.08772v1

    • [cs.CL]MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining
    Wei Zhu
    http://arxiv.org/abs/2011.08539v1

    • [cs.CL]Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
    Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
    http://arxiv.org/abs/2011.08755v1

    • [cs.CL]NLPGym — A toolkit for evaluating RL agents on Natural Language Processing Tasks
    Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
    http://arxiv.org/abs/2011.08272v1

    • [cs.CL]Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
    Zijun Sun, Chun Fan, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2011.08626v1

    • [cs.CL]Self-supervised Document Clustering Based on BERT with Data Augment
    Haoxiang Shi, Cen Wang, Tetsuya Sakai
    http://arxiv.org/abs/2011.08523v1

    • [cs.CL]Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
    Diwakar Mahajan, Jennifer J Liang, Ching-Huei Tsou
    http://arxiv.org/abs/2011.08835v1

    • [cs.CL]Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants
    Michael Wessel, Edgar Kalns, Girish Acharya, Andreas Kathol
    http://arxiv.org/abs/2011.08334v1

    • [cs.CR]Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
    Yueyue Dai, Du Xu, Ke Zhang, Sabita Maharjan, Yan Zhang
    http://arxiv.org/abs/2011.08449v1

    • [cs.CR]Feasibility Study on CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety. Jyvaskyla — Case-study of the First City to Benefit from CCTV-aware Technology. (Preprint)
    Tuomo Lahtinen, Lauri Sintonen, Hannu Turtiainen, Andrei Costin
    http://arxiv.org/abs/2011.08598v1

    • [cs.CR]MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus
    Faheem Zafar, Abid Khan, Saif Ur Rehman Malik, Adeel Anjum, Mansoor Ahmed
    http://arxiv.org/abs/2011.08538v1

    • [cs.CR]New (k,l,m)-verifiable multi-secret sharing schemes based on XTR public key system
    Jing Yang, Fang-Wei Fu
    http://arxiv.org/abs/2011.08648v1

    • [cs.CR]Private Wireless Federated Learning with Anonymous Over-the-Air Computation
    Burak Hasircioglu, Deniz Gunduz
    http://arxiv.org/abs/2011.08579v1

    • [cs.CV]2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
    Yang Jiao, Yi Niu, Trac D. Tran, Guangming Shi
    http://arxiv.org/abs/2011.08333v1

    • [cs.CV]3D CNNs with Adaptive Temporal Feature Resolutions
    Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall
    http://arxiv.org/abs/2011.08652v1

    • [cs.CV]A Digital Image Processing Approach for Hepatic Diseases Staging based on the Glisson’s Capsule
    Marco Trombini, Paolo Borro, Sebastiano Ziola, Silvana Dellepiane
    http://arxiv.org/abs/2011.08513v1

    • [cs.CV]A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
    Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari
    http://arxiv.org/abs/2011.08534v1

    • [cs.CV]A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
    Minglei Lu, Yu Guo, Fei Wang, Zheng Dang
    http://arxiv.org/abs/2011.08771v1

    • [cs.CV]A New Similarity Space Tailored for Supervised Deep Metric Learning
    Pedro H. Barros, Fabiane Queiroz, Flavio Figueredo, Jefersson A. dos Santos, Heitor S. Ramos
    http://arxiv.org/abs/2011.08325v1

    • [cs.CV]A Review of Generalized Zero-Shot Learning Methods
    Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
    http://arxiv.org/abs/2011.08641v1

    • [cs.CV]ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model
    Pooja Guhan, Manas Agarwal, Naman Awasthi, Gloria Reeves, Dinesh Manocha, Aniket Bera
    http://arxiv.org/abs/2011.08690v1

    • [cs.CV]ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
    Jiahe Cui, Jianwei Niu, Zhenchao Ouyang, Yunxiang He, Dian Liu
    http://arxiv.org/abs/2011.08516v1

    • [cs.CV]Anatomy Prior Based U-net for Pathology Segmentation with Attention
    Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
    http://arxiv.org/abs/2011.08769v1

    • [cs.CV]Assistive Diagnostic Tool for Brain Tumor Detection using Computer Vision
    Sahithi Ankireddy
    http://arxiv.org/abs/2011.08185v1

    • [cs.CV]Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
    Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/2011.08627v1

    • [cs.CV]Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization
    Frederik Hagelskjaer, Anders Glent Buch
    http://arxiv.org/abs/2011.08517v1

    • [cs.CV]CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
    Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu
    http://arxiv.org/abs/2011.08362v1

    • [cs.CV]Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
    Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li, Qi Tian
    http://arxiv.org/abs/2011.08621v1

    • [cs.CV]Deep Active Surface Models
    Udaranga Wickramasinghe, Graham Knott, Pascal Fua
    http://arxiv.org/abs/2011.08826v1

    • [cs.CV]DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
    Marvin Chancán, Michael Milford
    http://arxiv.org/abs/2011.08518v1

    • [cs.CV]Digging Deeper into CRNN Model in Chinese Text Images Recognition
    Kunhong Yu, Yuze Zhang
    http://arxiv.org/abs/2011.08505v1

    • [cs.CV]Domain Adaptation based Technique for Image Emotion Recognition using Pre-trained Facial Expression Recognition Models
    Puneet Kumar, Balasubramanian Raman
    http://arxiv.org/abs/2011.08388v1

    • [cs.CV]EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
    Yang Jiao, Guangming Shi, Trac D. Tran
    http://arxiv.org/abs/2011.08332v1

    • [cs.CV]EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution
    William McNally, Kanav Vats, Alexander Wong, John McPhee
    http://arxiv.org/abs/2011.08446v1

    • [cs.CV]Exploring Intermediate Representation for Monocular Vehicle Pose Estimation
    Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
    http://arxiv.org/abs/2011.08464v1

    • [cs.CV]Exploring Self-Attention for Visual Odometry
    Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad
    http://arxiv.org/abs/2011.08634v1

    • [cs.CV]Extreme Value Preserving Networks
    Mingjie Sun, Jianguo Li, Changshui Zhang
    http://arxiv.org/abs/2011.08367v1

    • [cs.CV]Facial Expressions as a Vulnerability in Face Recognition
    Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez, Agata Lapedriza
    http://arxiv.org/abs/2011.08809v1

    • [cs.CV]Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
    Ehsan Emad Marvasti, Arash Raftari, Yaser P. Fallah, Rui Guo, Hongsheng Lu
    http://arxiv.org/abs/2011.08317v1

    • [cs.CV]Generalized Continual Zero-Shot Learning
    Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
    http://arxiv.org/abs/2011.08508v1

    • [cs.CV]Global Road Damage Detection: State-of-the-art Solutions
    Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
    http://arxiv.org/abs/2011.08740v1

    • [cs.CV]Learning Canonical Transformations
    Zachary Dulberg, Jonathan Cohen
    http://arxiv.org/abs/2011.08822v1

    • [cs.CV]Learning Efficient GANs via Differentiable Masks and co-Attention Distillation
    Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji
    http://arxiv.org/abs/2011.08382v1

    • [cs.CV]Multi Receptive Field Network for Semantic Segmentation
    Yuan Jianlong, Zelu Deng, Wang Shu, Luo Zhenbo
    http://arxiv.org/abs/2011.08577v1

    • [cs.CV]Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
    Shan Lin, Fangbo Qin, Haonan Peng, Randall A. Bly, Kris S. Moe, Blake Hannaford
    http://arxiv.org/abs/2011.08752v1

    • [cs.CV]Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
    P Aditya Sreekar, Ujjwal Tiwari, Anoop Namboodiri
    http://arxiv.org/abs/2011.08614v1

    • [cs.CV]Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting
    Zhigang Jia, Qiyu Jin, Michael K. Ng, Xile Zhao
    http://arxiv.org/abs/2011.08675v1

    • [cs.CV]Overcomplete Deep Subspace Clustering Networks
    Jeya Maria Jose Valanarasu, Vishal M. Patel
    http://arxiv.org/abs/2011.08306v1

    • [cs.CV]P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
    Jonathan Ventura
    http://arxiv.org/abs/2011.08790v1

    • [cs.CV]PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
    Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier
    http://arxiv.org/abs/2011.08785v1

    • [cs.CV]Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers
    Nina Varney, Vijayan K. Asari, Quinn Graehling
    http://arxiv.org/abs/2011.08692v1

    • [cs.CV]Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
    Riccardo Barbano, Željko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin
    http://arxiv.org/abs/2011.08413v1

    • [cs.CV]RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
    Videsh Suman, Aniket Bera
    http://arxiv.org/abs/2011.08722v1

    • [cs.CV]Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks
    Ke Zhang, Xiahai Zhuang
    http://arxiv.org/abs/2011.08761v1

    • [cs.CV]SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation
    Seong-Ho Lee, Seung-Hwan Bae
    http://arxiv.org/abs/2011.08459v1

    • [cs.CV]SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation
    Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV, Aniket Bera
    http://arxiv.org/abs/2011.08682v1

    • [cs.CV]Semi-Supervised Few-Shot Atomic Action Recognition
    Xiaoyuan Ni, Sizhe Song, Yu-Wing Tai, Chi-Keung Tang
    http://arxiv.org/abs/2011.08410v1

    • [cs.CV]Shared Cross-Modal Trajectory Prediction for Autonomous Driving
    Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla
    http://arxiv.org/abs/2011.08436v1

    • [cs.CV]Slender Object Detection: Diagnoses and Improvements
    Zhaoyi Wan, Yimin Chen, Sutao Deng, Cong Yao, Jiebo Luo
    http://arxiv.org/abs/2011.08529v1

    • [cs.CV]Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks
    Nikhil Churamani, Sinan Kalkan, Hatice Gunes
    http://arxiv.org/abs/2011.08819v1

    • [cs.CV]Transducer Adaptive Ultrasound Volume Reconstruction
    Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan
    http://arxiv.org/abs/2011.08419v1

    • [cs.CV]Uncertainty Modelling in Deep Neural Networks for Image Data
    Aria Khoshsirat
    http://arxiv.org/abs/2011.08712v1

    • [cs.CV]Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
    Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt
    http://arxiv.org/abs/2011.08502v1

    • [cs.CV]Vis-CRF, A Classical Receptive Field Model for VISION
    Nasim Nematzadeh, David MW Powers, Trent Lewis
    http://arxiv.org/abs/2011.08363v1

    • [cs.CV]Where Are You? Localization from Embodied Dialog
    Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson
    http://arxiv.org/abs/2011.08277v1

    • [cs.CY]Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
    Sean McGregor
    http://arxiv.org/abs/2011.08512v1

    • [cs.CY]The COVID19 infodemic. The role and place of academics in science communication
    Jennifer Cole
    http://arxiv.org/abs/2011.08787v1

    • [cs.DC]GPURepair: Automated Repair of GPU Kernels
    Saurabh Joshi, Gautam Muduganti
    http://arxiv.org/abs/2011.08373v1

    • [cs.DC]Heterogeneous Paxos: Technical Report
    Isaac Sheff, Xinwen Wang, Robbert van Renesse, Andrew C. Myers
    http://arxiv.org/abs/2011.08253v1

    • [cs.DC]Improved Load Balancing in Large Scale Systems using Attained Service Time Reporting
    Tim Hellemans, Benny Van Houdt
    http://arxiv.org/abs/2011.08250v1

    • [cs.DC]Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems
    Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush, Daniel E. Lucani
    http://arxiv.org/abs/2011.08381v1

    • [cs.DC]Recoverable, Abortable, and Adaptive Mutual Exclusion with Sublogarithmic RMR Complexity
    Daniel Katzan, Adam Morrison
    http://arxiv.org/abs/2011.07622v2

    • [cs.DC]Uniform Bipartition in the Population Protocol Model with Arbitrary Communication Graphs
    Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue, Sébastien Tixeuil
    http://arxiv.org/abs/2011.08366v1

    • [cs.DL]Deep Learning — A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
    Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li
    http://arxiv.org/abs/2011.08184v1

    • [cs.GR]FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking
    Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd Munson, Ian Foster
    http://arxiv.org/abs/2011.08697v1

    • [cs.GR]Normalized Weighting Schemes for Image Interpolation Algorithms
    Olivier Rukundo
    http://arxiv.org/abs/2011.08559v1

    • [cs.IR]Association Rules Enhanced Knowledge Graph Attention Network
    Zhenghao Zhang, Jianbin Huang, Qinglin Tan
    http://arxiv.org/abs/2011.08431v1

    • [cs.IT]5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach
    Yun Chen, Xingqin Lin, Talha Khan, Mehrnaz Afshang, Mohammad Mozaffari
    http://arxiv.org/abs/2011.08379v1

    • [cs.IT]A variational characterisation of projective spherical designs over the quaternions
    Shayne Waldron
    http://arxiv.org/abs/2011.08439v1

    • [cs.IT]Asymptotic Rate Analysis for Impairments-Aware Multi-Carrier FD Massive MIMO Relay Networks utilizing MRT/MRC Strategy
    Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar
    http://arxiv.org/abs/2011.08303v1

    • [cs.IT]Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications
    Yutong Zhang, Boya Di, Hongliang Zhang, Jinlong Lin, Yonghui Li, Lingyang Song
    http://arxiv.org/abs/2011.08473v1

    • [cs.IT]Data-aided Sensing for Distributed Detection
    Jinho Choi
    http://arxiv.org/abs/2011.08393v1

    • [cs.IT]Designing Cost- and Energy-Efficient Cell-Free Massive MIMO Network with Fiber and FSO Fronthaul Links
    Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand
    http://arxiv.org/abs/2011.08511v1

    • [cs.IT]Fisher Information of a Family of Generalized Normal Distributions
    Precious Ugo Abara, Sandra Hirche
    http://arxiv.org/abs/2011.08683v1

    • [cs.IT]On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial
    Anas Chaaban, Zouheir Rezki, Mohamed-Slim Alouini
    http://arxiv.org/abs/2011.08327v1

    • [cs.IT]Resource Allocation of Dual-Hop VLC/RF Systems with Light Energy Harvesting
    Shayan Zargari, Mehrdad Kolivand, S. Alireza Nezamalhosseini, Bahman Abolhassani, Lawrence R. Chen, Mohammad Hossein Kahaei
    http://arxiv.org/abs/2011.07600v1

    • [cs.IT]Tensor-Decomposition-based Hybrid Beamforming Design for mmWave OFDM Massive MIMO Communications
    Guilherme Martignago Zilli, Wei-Ping Zhu
    http://arxiv.org/abs/2011.08800v1

    • [cs.IT]User Clustering in mmWave-NOMA Systems with User Decoding Capability Constraints for B5G Networks
    Aditya S. Rajasekaran, Omar Maraqa, Hamza U. Sokun, Halim Yanikomeroglu, Saad Al-Ahmadi
    http://arxiv.org/abs/2011.08670v1

    • [cs.LG]A Deep Neural Network for SSVEP-based Brain Computer Interfaces
    Osman Berke Guney, Muhtasham Oblokulov, Huseyin Ozkan
    http://arxiv.org/abs/2011.08562v1

    • [cs.LG]A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
    Jianyi Yang, Shaolei Ren
    http://arxiv.org/abs/2011.08450v1

    • [cs.LG]A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering
    Utku Görkem Ketenci, Tolga Kurt, Selim Önal, Cenk Erbil, Sinan Aktürkoğlu, Hande Şerban İlhan
    http://arxiv.org/abs/2011.08492v1

    • [cs.LG]AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
    Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi
    http://arxiv.org/abs/2011.08435v1

    • [cs.LG]Audience Creation for Consumables — Simple and Scalable Precision Merchandising for a Growing Marketplace
    Shreyas S, Harsh Maheshwari, Avijit Saha, Samik Datta, Shashank Jain, Disha Makhija, Anuj Nagpal, Sneha Shukla, Suyash S
    http://arxiv.org/abs/2011.08575v1

    • [cs.LG]Augmented Fairness: An Interpretable Model Augmenting Decision-Makers’ Fairness
    Tong Wang, Maytal Saar-Tsechansky
    http://arxiv.org/abs/2011.08398v1

    • [cs.LG]Automatic selection of clustering algorithms using supervised graph embedding
    Noy Cohen-Shapira, Lior Rokach
    http://arxiv.org/abs/2011.08225v1

    • [cs.LG]Avoiding Communication in Logistic Regression
    Aditya Devarakonda, James Demmel
    http://arxiv.org/abs/2011.08281v1

    • [cs.LG]Avoiding Tampering Incentives in Deep RL via Decoupled Approval
    Jonathan Uesato, Ramana Kumar, Victoria Krakovna, Tom Everitt, Richard Ngo, Shane Legg
    http://arxiv.org/abs/2011.08827v1

    • [cs.LG]Close Category Generalization
    Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri
    http://arxiv.org/abs/2011.08485v1

    • [cs.LG]Cluster-Specific Predictions with Multi-Task Gaussian Processes
    Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
    http://arxiv.org/abs/2011.07866v2

    • [cs.LG]DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
    Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo
    http://arxiv.org/abs/2011.08595v1

    • [cs.LG]Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
    Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang
    http://arxiv.org/abs/2011.08430v1

    • [cs.LG]Design Space for Graph Neural Networks
    Jiaxuan You, Rex Ying, Jure Leskovec
    http://arxiv.org/abs/2011.08843v1

    • [cs.LG]Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
    Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
    http://arxiv.org/abs/2011.08345v1

    • [cs.LG]Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
    Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
    http://arxiv.org/abs/2011.08545v1

    • [cs.LG]Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
    Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang
    http://arxiv.org/abs/2011.08442v1

    • [cs.LG]Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
    Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh
    http://arxiv.org/abs/2011.08541v1

    • [cs.LG]Exploring Energy-Accuracy Tradeoffs in AI Hardware
    Cory Merkel
    http://arxiv.org/abs/2011.08779v1

    • [cs.LG]Federated Composite Optimization
    Honglin Yuan, Manzil Zaheer, Sashank Reddi
    http://arxiv.org/abs/2011.08474v1

    • [cs.LG]Foundations of Bayesian Learning from Synthetic Data
    Harrison Wilde, Jack Jewson, Sebastian Vollmer, Chris Holmes
    http://arxiv.org/abs/2011.08299v1

    • [cs.LG]Generating universal language adversarial examples by understanding and enhancing the transferability across neural models
    Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-wei Chang, Xuanjing Huang
    http://arxiv.org/abs/2011.08558v1

    • [cs.LG]Identification of state functions by physically-guided neural networks with physically-meaningful internal layers
    Jacobo Ayensa-Jiménez, Mohamed H. Doweidar, Jose Antonio Sanz-Herrera, Manuel Doblaré
    http://arxiv.org/abs/2011.08567v1

    • [cs.LG]Improving Calibration in Deep Metric Learning With Cross-Example Softmax
    Andreas Veit, Kimberly Wilber
    http://arxiv.org/abs/2011.08824v1

    • [cs.LG]Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
    M. Ali Vosoughi, Axel Wismuller
    http://arxiv.org/abs/2011.08261v1

    • [cs.LG]Learning outside the Black-Box: The pursuit of interpretable models
    Jonathan Crabbé, Yao Zhang, William Zame, Mihaela van der Schaar
    http://arxiv.org/abs/2011.08596v1

    • [cs.LG]Leveraging the Variance of Return Sequences for Exploration Policy
    Zerong Xi, Gita Sukthankar
    http://arxiv.org/abs/2011.08649v1

    • [cs.LG]Linear Separation via Optimism
    Rafael Hanashiro, Jacob Abernethy
    http://arxiv.org/abs/2011.08797v1

    • [cs.LG]Machine Learning and Soil Humidity Sensing: Signal Strength Approach
    Lea Dujić Rodić, Tomislav Županović, Toni Perković, Petar Šolić, Joel J. P. C. Rodrigues
    http://arxiv.org/abs/2011.08273v1

    • [cs.LG]Meta Automatic Curriculum Learning
    Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer
    http://arxiv.org/abs/2011.08463v1

    • [cs.LG]Modality-Buffet for Real-Time Object Detection
    Nicolai Dorka, Johannes Meyer, Wolfram Burgard
    http://arxiv.org/abs/2011.08726v1

    • [cs.LG]Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
    Guoqiang Wu, Jun Zhu
    http://arxiv.org/abs/rg/abs/2011.07805v1

    • [cs.LG]Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
    Michael T. Lash, W. Nick Street
    http://arxiv.org/abs/2011.08254v1

    • [cs.LG]Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease
    Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu
    http://arxiv.org/abs/2011.08356v1

    • [cs.LG]Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention
    Johannes Pöppelbaum, Andreas Schwung
    http://arxiv.org/abs/2011.08734v1

    • [cs.LG]Privacy-preserving Data Analysis through Representation Learning and Transformation
    Omid Hajihassani, Omid Ardakanian, Hamzeh Khazaei
    http://arxiv.org/abs/2011.08315v1

    • [cs.LG]REALab: An Embedded Perspective on Tampering
    Ramana Kumar, Jonathan Uesato, Richard Ngo, Tom Everitt, Victoria Krakovna, Shane Legg
    http://arxiv.org/abs/2011.08820v1

    • [cs.LG]Recursive Inference for Variational Autoencoders
    Minyoung Kim, Vladimir Pavlovic
    http://arxiv.org/abs/2011.08544v1

    • [cs.LG]Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic’s Hypothesis Space to RKHS
    P Aditya Sreekar, Ujjwal Tiwari, Anoop Namboodiri
    http://arxiv.org/abs/2011.08651v1

    • [cs.LG]Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
    Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff
    http://arxiv.org/abs/2011.08432v1

    • [cs.LG]Risk-Constrained Thompson Sampling for CVaR Bandits
    Joel Q. L. Chang, Qiuyu Zhu, Vincent Y. F. Tan
    http://arxiv.org/abs/2011.08046v2

    • [cs.LG]Robust Deep Learning with Active Nois
    e64
    e Cancellation for Spatial Computing
    Li Chen, David Yang, Purvi Goel, Ilknur Kabul
    http://arxiv.org/abs/2011.08341v1

    • [cs.LG]Stochastic Client Selection for Federated Learning with Volatile Clients
    Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya
    http://arxiv.org/abs/2011.08756v1

    • [cs.LG]Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
    Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen
    http://arxiv.org/abs/2011.08543v1

    • [cs.LG]Sub-clusters of Normal Data for Anomaly Detection
    Gahye Lee, Seungkyu Lee
    http://arxiv.org/abs/2011.08408v1

    • [cs.LG]Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
    Nanzhe Wang, Haibin Chang, Dongxiao Zhang
    http://arxiv.org/abs/2011.08618v1

    • [cs.LG]Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
    Yinghui Li, Ruiyang Liu, ZiHao Zhang, Ning Ding, Ying Shen, Linmi Tao, Hai-Tao Zheng
    http://arxiv.org/abs/2011.08470v1

    • [cs.LG]Towards Meta-Algorithm Selection
    Alexander Tornede, Marcel Wever, Eyke Hüllermeier
    http://arxiv.org/abs/2011.08784v1

    • [cs.LO]Answering Regular Path Queries Over SQ Ontologies
    Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung
    http://arxiv.org/abs/2011.08816v1

    • [cs.MM]Building Movie Map — A Tool for Exploring Areas in a City — and its Evaluation
    Naoki Sugimoto, Yoshihito Ebine, Kiyoharu Aizawa
    http://arxiv.org/abs/2011.08525v1

    • [cs.MS]Deep Learning Framework From Scratch Using Numpy
    Andrei Nicolae
    http://arxiv.org/abs/2011.08461v1

    • [cs.RO]Adaptive Tracking Control of Soft Robots using Integrated Sensing Skin and Recurrent Neural Networks
    Lasitha Weerakoon, Zepeng Ye, Rahul Subramonian Bama, Elisabeth Smela, Miao Yu, Nikhil Chopra
    http://arxiv.org/abs/2011.08412v1

    • [cs.RO]Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs
    Fan Shi, Timon Homberger, Joonho Lee, Takahiro Miki, Moju Zhao, Farbod Farshidian, Kei Okada, Masayuki Inaba, Marco Hutter
    http://arxiv.org/abs/2011.08811v1

    • [cs.RO]Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
    Joseph Lubars, Harsh Gupta, Adnan Raja, R. Srikant, Liyun Li, Xinzhou Wu
    http://arxiv.org/abs/2011.08484v1

    • [cs.RO]Control Strategies for Autonomous Vehicles
    Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy
    http://arxiv.org/abs/2011.08729v1

    • [cs.RO]Curiosity Based Reinforcement Learning on Robot Manufacturing Cell
    Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
    http://arxiv.org/abs/2011.08743v1

    • [cs.RO]DLRRMS: Deep Learning based Respiratory Rate Monitoring System using Mobile Robots and Edges
    Haimiao Mo, Shuai Ding, Shanlin Yang, Xi Zheng, Athanasios V. Vasilakos
    http://arxiv.org/abs/2011.08482v1

    • [cs.RO]Deep Affordance Foresight: Planning Through What Can Be Done in the Future
    Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei
    http://arxiv.org/abs/2011.08424v1

    • [cs.RO]Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations
    Mao Shan, Karan Narula, Ricky Wong, Stewart Worrall, Malik Khan, Paul Alexander, Eduardo Nebot
    http://arxiv.org/abs/2011.08581v1

    • [cs.RO]Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
    Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
    http://arxiv.org/abs/2011.08659v1

    • [cs.RO]Educational robotics for children and their teachers
    Cristina Gena, Claudio Mattutino, Davide Cellie, Enrico Mosca
    http://arxiv.org/abs/2011.08311v1

    • [cs.RO]Fault-Aware Robust Control via Adversarial Reinforcement Learning
    Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun
    http://arxiv.org/abs/2011.08728v1

    • [cs.RO]Improved Visual-Inertial Localization for Low-cost Rescue Robots
    Xiaoling Long, Qingwen Xu, Yijun Yuan, Zhenpeng He, Sören Schwertfeger
    http://arxiv.org/abs/2011.08418v1

    • [cs.RO]Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing
    Ignat Georgiev, Christoforos Chatzikomis, Timo Völkl, Joshua Smith, Michael Mistry
    http://arxiv.org/abs/2011.08750v1

    • [cs.RO]Knowledge-Augmented Dexterous Grasping with Incomplete Sensing
    Bharath Rao, Hui Li, Krishna Krishnan, Enkhsaikhan Boldsaikhan, Hongsheng He
    http://arxiv.org/abs/2011.08361v1

    • [cs.RO]Learning Dense Rewards for Contact-Rich Manipulation Tasks
    Zheng Wu, Wenzhao Lian, Vaibhav Unhelkar, Masayoshi Tomizuka, Stefan Schaal
    http://arxiv.org/abs/2011.08458v1

    • [cs.RO]Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling
    Jiacheng Yuan, Nicolai Häni, Volkan Isler
    http://arxiv.org/abs/2011.08319v1

    • [cs.RO]Obstacle avoidance-driven controller for safety-critical aerial robots
    Johann Lange
    http://arxiv.org/abs/2011.08178v1

    • [cs.RO]Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
    Yifei Simon Shao, Chen Chao, Shreyas Kousik, Ram Vasudevan
    http://arxiv.org/abs/2011.08421v1

    • [cs.RO]Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery
    Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox
    http://arxiv.org/abs/2011.08694v1

    • [cs.SD]Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter
    Xiong Wang, Zhuoyuan Yao, Xian Shi, Lei Xie
    http://arxiv.org/abs/2011.08469v1

    • [cs.SD]FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances
    Ali Shahin Shamsabadi, Francisco Sepúlveda Teixeira, Alberto Abad, Bhiksha Raj, Andrea Cavallaro, Isabel Trancoso
    http://arxiv.org/abs/2011.08483v1

    • [cs.SE]Towards evaluating and eliciting high-quality documentation for intelligent systems
    David Piorkowski, Daniel González, John Richards, Stephanie Houde
    http://arxiv.org/abs/2011.08774v1

    • [cs.SI]Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure
    Charles Colley, Huda Nassar, David Gleich
    http://arxiv.org/abs/2011.08837v1

    • [cs.SI]Conspiracy and debunking narratives about COVID-19 origination on Chinese social media: How it started and who is to blame
    Kaiping Chen, Anfan Chen, Jingwen Zhang, Jingbo Meng, Cuihua Shen
    http://arxiv.org/abs/2011.08409v1

    • [cs.SI]Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19
    Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman
    http://arxiv.org/abs/2011.08498v1

    • [econ.EM]Policy choice in experiments with unknown interference
    Davide Viviano
    http://arxiv.org/abs/2011.08174v2

    • [eess.AS]Refining Automatic Speech Recognition System for older adults
    Liu Chen, Meysam Asgari
    http://arxiv.org/abs/2011.08346v1

    • [eess.IV]A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity
    Naresh Nandakumar, Niharika Shimona D’souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
    http://arxiv.org/abs/2011.08813v1

    • [eess.IV]Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets
    Hamza Osman Ilhan, Gorkem Serbes, Nizamettin Aydin
    http://arxiv.org/abs/2011.08528v1

    • [eess.IV]Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients
    Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch
    http://arxiv.org/abs/2011.08555v1

    • [eess.IV]Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
    Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus Maier-Hein
    http://arxiv.org/abs/org/abs/2011.07592v1

    • [eess.SP]A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG
    Karla Burelo, Mohammadali Sharifshazileh, Niklaus Krayenbühl, Georgia Ramantani, Giacomo Indiveri, Johannes Sarnthein
    http://arxiv.org/abs/2011.08783v1

    • [eess.SP]Assessing Wireless Sensing Potential with Large Intelligent Surfaces
    Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
    http://arxiv.org/abs/2011.08465v1

    • [eess.SP]Joint Resource Optimization for IRS-Assisted mmWave MIMO under QoS Constraints
    Qingfeng Ding, Xinpeng Gao, Zexiang Wu
    http://arxiv.org/abs/2011.08395v1

    • [eess.SP]Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder
    Ziqi Ke, Haris Vikalo
    http://arxiv.org/abs/2011.08295v1

    • [eess.SY]Data-Driven Reachability Analysis Using Matrix Zonotopes
    Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson
    http://arxiv.org/abs/2011.08472v1

    • [eess.SY]Marketing resource allocation in duopolies over social networks
    Vineeth S. Varma, Irinel-Constantin Morarescu, Samson Lasaulce, Samuel Martin
    http://arxiv.org/abs/2011.08553v1

    • [eess.SY]Space-time budget allocation policy design for viral marketing
    I. C. Morarescu, V. S. Varma, L. Busoniu, S. Lasaulce
    http://arxiv.org/abs/2011.08639v1

    • [math-ph]Change the coefficients of conditional entropies in extensivity
    Asuka Takatsu
    http://arxiv.org/abs/2011.08370v1

    • [math.AG]Complete quadrics: Schubert calculus for Gaussian models and semidefinite programming
    Laurent Manivel, Mateusz Michałek, Leonid Monin, Tim Seynnaeve, Martin Vodička
    http://arxiv.org/abs/2011.08791v1

    • [math.OC]Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method
    Daisuke Inoue, Yuji Ito, Hiroaki Yoshida
    http://arxiv.org/abs/2011.08337v1

    • [math.OC]Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
    Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
    http://arxiv.org/abs/2011.08360v1

    • [math.OC]Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
    Georgios Kotsalis, Guanghui Lan, Tianjiao Li
    http://arxiv.org/abs/2011.08434v1

    • [math.OC]Sufficient Conditions for Feasibility of Optimal Control Problems Using Control Barrier Functions
    Wei Xiao, Calin Belta, Christos G. Cassandras
    http://arxiv.org/abs/2011.08248v1

    • [math.OC]The Moment-SOS hierarchy and the Christoffel-Darboux kernel
    Jean-Bernard Lasserre
    http://arxiv.org/abs/2011.08566v1

    • [math.PR]Convergence of Preconditioned Hamiltonian Monte Carlo on Hilbert Spaces
    Jakiw Pidstrigach
    http://arxiv.org/abs/2011.08578v1

    • [math.ST]Estimating the correlation in network disturbance models
    A. D. Barbour, Gesine Reinert
    http://arxiv.org/abs/2011.08290v1

    • [math.ST]Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations
    Denis Belomestny, Shota Gugushvili, Moritz Schauer, Peter Spreij
    http://arxiv.org/abs/2011.08321v1

    • [math.ST]Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$
    Jasper C. H. Lee, Paul Valiant
    http://arxiv.org/abs/2011.08384v1

    • [q-bio.QM]A stability-driven protocol for drug response interpretable prediction (staDRIP)
    Xiao Li, Tiffany M. Tang, Xuewei Wang, Jean-Pierre A. Kocher, Bin Yu
    http://arxiv.org/abs/2011.06593v2

    • [quant-ph]Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
    Enrico Fontana, M. Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles
    http://arxiv.org/abs/2011.08763v1

    • [quant-ph]Quantum algorithms for learning graphs and beyond
    Ashley Montanaro, Changpeng Shao
    http://arxiv.org/abs/2011.08611v1

    • [stat.AP]A statistical machine learning approach for benchmarking in the presence of complex contextual factors and peer groups
    Daniel W. Kennedy, Jessica Cameron, Paul P. -Y. Wu, Kerrie Mengersen
    http://arxiv.org/abs/2011.08407v1

    • [stat.AP]Change point detection for COVID-19 excess deaths in Belgium
    Han Lin Shang, Ruofan Xu
    http://arxiv.org/abs/2011.08309v1

    • [stat.AP]Data Driven Reaction Mechanism Estimation via Transient Kinetics and Machine Learning
    M. Ross Kunz, Adam Yonge, Zongtang Fang, Andrew J. Medford, Denis Constales, Gregory Yablonsky, Rebecca Fushimi
    http://arxiv.org/abs/2011.08810v1

    • [stat.AP]Defying the Circadian Rhythm: Clustering Participant Telemetry in the UK Biobank Data
    Nikola Pocuca, Mark Farrell, Paul D. McNicholas
    http://arxiv.org/abs/2011.08350v1

    • [stat.AP]GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications
    Seongyong Park, Shujaat Khan, Muhammad Moinuddin, Ubaid M. Al-Saggaf
    http://arxiv.org/abs/2011.08719v1

    • [stat.AP]Peer groups for organisational learning: clustering with practical constraints
    Daniel William Kennedy, Jessica Cameron, Paul Pao-Yen Wu, Kerrie Mengersen
    http://arxiv.org/abs/2011.08405v1

    • [stat.ME]Adjusting the adjusted Rand Index — A multinomial story
    Martina Sundqvist, Julien Chiquet, Guillem Rigaill
    http://arxiv.org/abs/2011.08708v1

    • [stat.ME]Covariance matrix testing in high dimension using random projections
    Deepak Nag Ayyala, Santu Ghosh, Daniel F. Linder
    http://arxiv.org/abs/2011.08282v1

    • [stat.ME]Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
    Yuhao Wang, Rajen D. Shah
    http://arxiv.org/abs/2011.08661v1

    • [stat.ME]Density Estimation using Entropy Maximization for Semi-continuous Data
    Sai K. Popuri, Nagaraj K. Neerchal, Amita Mehta, Ahmad Mousavi
    http://arxiv.org/abs/2011.08475v1

    • [stat.ME]Flexible Bivariate INGARCH Process With a Broad Range of Contemporaneous Correlation
    Luiza S. C. Piancastelli, Wagner Barreto-Souza, Hernando Ombao
    http://arxiv.org/abs/2011.08799v1

    • [stat.ME]Generalized Posteriors in Approximate Bayesian Computation
    Sebastian M Schmon, Patrick W Cannon, Jeremias Knoblauch
    http://arxiv.org/abs/2011.08644v1

    • [stat.ME]Model selection for count timeseries with applications in forecasting number of trips in bike-sharing systems and its volatility
    Alireza Hosseini, Reza Hosseini
    http://arxiv.org/abs/2011.08389v1

    • [stat.ME]Robust correlation for aggregated data with spatial characteristics
    Sophie Achard, Jean-Francois Coeurjolly, Pierre Lafaye de Micheaux, Jonas Richiardi
    http://arxiv.org/abs/2011.08269v1

    • [stat.ME]Semiparametric proximal causal inference
    Yifan Cui, Hongming Pu, Xu Shi, Wang Miao, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2011.08411v1

    • [stat.ME]Sequential scaled sparse factor regression
    Zemin Zheng, Yang Li, Jie Wu, Yuchen Wang
    http://arxiv.org/abs/2011.08521v1

    • [stat.ML]Coarse-grained and emergent distributed parameter systems from data
    Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis Kevrekidis
    http://arxiv.org/abs/2011.08138v2

    • [stat.ML]Confounding Feature Acquisition for Causal Effect Estimation
    Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi
    http://arxiv.org/abs/2011.08753v1

    • [stat.ML]Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
    Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu
    http://arxiv.org/abs/2011.08698v1

    • [stat.ML]Explaining the Adaptive Generalisation Gap
    Diego Granziol, Samuel Albanie, Xingchen Wan, Stephen Roberts
    http://arxiv.org/abs/2011.08181v1

    • [stat.ML]Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders
    Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal
    http://arxiv.org/abs/2011.08714v1

    • [stat.ML]VIB is Half Bayes
    Alexander A Alemi, Warren R Morningstar, Ben Poole, Ian Fischer, Joshua V Dillon
    http://arxiv.org/abs/2011.08711v1