cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CC - 计算复杂度 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 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 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 nlin.CD - 混沌动力学 nlin.CG - 细胞自动机与晶格气 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Metamodel and Framework for AGI
    • [cs.AI]Corruption and Audit in Strategic Argumentation
    • [cs.AI]Deep Learning Techniques for Geospatial Data Analysis
    • [cs.AI]On a plausible concept-wise multipreference semantics and its relations with self-organising maps
    • [cs.AI]Predicting Game Difficulty and Churn Without Players
    • [cs.AR]Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features
    • [cs.CC]Is the space complexity of planted clique recovery the same as that of detection?
    • [cs.CL]A Bidirectional Tree Tagging Scheme for Jointly Extracting Overlapping Entities and Relations
    • [cs.CL]Classifier Combination Approach for Question Classification for Bengali Question Answering System
    • [cs.CL]Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation
    • [cs.CL]Discovering Bilingual Lexicons in Polyglot Word Embeddings
    • [cs.CL]Efficient Computation of Expectations under Spanning Tree Distributions
    • [cs.CL]HittER: Hierarchical Transformers for Knowledge Graph Embeddings
    • [cs.CL]Knowledge Efficient Deep Learning for Natural Language Processing
    • [cs.CL]LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis
    • [cs.CL]QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
    • [cs.CL]Rethinking the objectives of extractive question answering
    • [cs.CL]SEEC: Semantic Vector Federation across Edge Computing Environments
    • [cs.CL]SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus
    • [cs.CL]SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features
    • [cs.CL]TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
    • [cs.CL]Temporal Mental Health Dynamics on Social Media
    • [cs.CL]Zero-Resource Knowledge-Grounded Dialogue Generation
    • [cs.CR]CenterYou: A cloud-based Approach to Simplify Android Privacy Management
    • [cs.CR]Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks
    • [cs.CR]Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees
    • [cs.CV]A Compact Deep Architecture for Real-time Saliency Prediction
    • [cs.CV]AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning
    • [cs.CV]Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking
    • [cs.CV]Adaptive Local Structure Consistency based Heterogeneous Remote Sensing Change Detection
    • [cs.CV]Adversarial Patch Camouflage against Aerial Detection
    • [cs.CV]An Integrated Approach to Produce Robust Models with High Efficiency
    • [cs.CV]An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images
    • [cs.CV]Background Splitting: Finding Rare Classes in a Sea of Background
    • [cs.CV]Continuous Color Transfer
    • [cs.CV]Deep Probabilistic Feature-metric Tracking
    • [cs.CV]Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
    • [cs.CV]DeepFacePencil: Creating Face Images from Freehand Sketches
    • [cs.CV]Driving Through Ghosts: Behavioral Cloning with False Positives
    • [cs.CV]Dual Attention GANs for Semantic Image Synthesis
    • [cs.CV]Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze
    • [cs.CV]Extracting full-field subpixel structural displacements from videos via deep learning
    • [cs.CV]Finding Action Tubes with a Sparse-to-Dense Framework
    • [cs.CV]Galaxy Morphology Classification using EfficientNet Architectures
    • [cs.CV]Initial Classifier Weights Replay for Memoryless Class Incremental Learning
    • [cs.CV]Introducing Representations of Facial Affect in Automated Multimodal Deception Detection
    • [cs.CV]Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator
    • [cs.CV]Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
    • [cs.CV]Learning to Localize Actions from Moments
    • [cs.CV]Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
    • [cs.CV]On segmentation of pectoralis muscle in digital mammograms by means of deep learning
    • [cs.CV]Online Spatiotemporal Action Detection and Prediction via Causal Representations
    • [cs.CV]Patch-based Brain Age Estimation from MR Images
    • [cs.CV]Puzzle-AE: Novelty Detection in Images through Solving Puzzles
    • [cs.CV]RESA: Recurrent Feature-Shift Aggregator for Lane Detection
    • [cs.CV]Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
    • [cs.CV]RecSal : Deep Recursive Supervision for Visual Saliency Prediction
    • [cs.CV]Receptive Multi-granularity Representation for Person Re-Identification
    • [cs.CV]Reinforced Axial Refinement Network for Monocular 3D Object Detection
    • [cs.CV]Self-Organized Operational Neural Networks for Severe Image Restoration Problems
    • [cs.CV]Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
    • [cs.CV]Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation
    • [cs.CV]Shape Defense
    • [cs.CV]Transfer Learning-based Road Damage Detection for Multiple Countries
    • [cs.CV]Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector
    • [cs.CV]VR-Caps: A Virtual Environment for Capsule Endoscopy
    • [cs.CV]VarifocalNet: An IoU-aware Dense Object Detector
    • [cs.CV]Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
    • [cs.CV]iLGaCo: Incremental Learning of Gait Covariate Factors
    • [cs.CY]Beyond Our Behavior: The GDPR and Humanistic Personalization
    • [cs.CY]Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
    • [cs.CY]Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education
    • [cs.CY]Perla: A Conversational Agent for Depression Screening in Digital Ecosystems. Design, Implementation and Validation
    • [cs.CY]Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
    • [cs.CY]Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges
    • [cs.CY]Vehicle Route Prediction through Multiple Sensors Data Fusion
    • [cs.DC]A Self-adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing
    • [cs.DC]Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
    • [cs.DC]Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
    • [cs.DC]Fifer: Tackling Underutilization in the Serverless Era
    • [cs.DC]Lecture Notes on Leader-based Sequence Paxos — An Understandable Sequence Consensus Algorithm
    • [cs.DC]Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
    • [cs.DC]Power and Performance Analysis of Persistent Key-Value Stores
    • [cs.DL]A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies
    • [cs.DL]Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
    • [cs.DS]Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
    • [cs.DS]Low-Depth Parallel Algorithms for the Binary-Forking Model without Atomics
    • [cs.ET]Floating-Point Multiplication Using Neuromorphic Computing
    • [cs.HC]Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks
    • [cs.HC]LinkRing: A Wearable Haptic Display for Delivering Multi-contact and Multi-modal Stimuli at the Finger Pads
    • [cs.HC]Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data
    • [cs.HC]Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment
    • [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartor for Top-K Recommender Systems
    • [cs.IR]Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences
    • [cs.IR]Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics
    • [cs.IR]PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
    • [cs.IR]PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank
    • [cs.IR]Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation
    • [cs.IT]Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
    • [cs.IT]Coding Constructions for Efficient Oblivious Transfer from Noisy Channels
    • [cs.IT]Construction of LDPC convolutional codes via difference triangle sets
    • [cs.IT]Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design
    • [cs.IT]On Communication for Distributed Babai Point Computation
    • [cs.IT]Predictor Antennas for Moving Relays: Finite Block-length Analysis
    • [cs.IT]Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity
    • [cs.IT]Uplink Channel Estimation and Signal Extraction Under Malicious Attack in Massive MIMO System
    • [cs.LG]$K$-way $p$-spectral clustering on Grassmann manifolds
    • [cs.LG]$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
    • [cs.LG]A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees
    • [cs.LG]A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment
    • [cs.LG]A New Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
    • [cs.LG]A Novel Multiple Ensemble Learning Models Based on Different Datasets for Software Defect Prediction
    • [cs.LG]A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments
    • [cs.LG]AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
    • [cs.LG]Active Local Learning
    • [cs.LG]Adversarial Learning for Counterfactual Fairness
    • [cs.LG]Adversarial Privacy Preserving Graph Embedding against Inference Attack
    • [cs.LG]An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means
    • [cs.LG]Anomaly Detection by Recombining Gated Unsupervised Experts
    • [cs.LG]Benchmarking adversarial attacks and defenses for time-series data
    • [cs.LG]Beyond variance reduction: Understanding the true impact of baselines on policy optimization
    • [cs.LG]CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
    • [cs.LG]Complex-valued embeddings of generic proximity data
    • [cs.LG]Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
    • [cs.LG]Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
    • [cs.LG]Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach
    • [cs.LG]Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial
    • [cs.LG]Extreme Memorization via Scale of Initialization
    • [cs.LG]GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model
    • [cs.LG]Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
    • [cs.LG]Improving Resistance to Adversarial Deformations by Regularizing Gradients
    • [cs.LG]Langevin Cooling for Domain Translation
    • [cs.LG]Learning Adaptive Embedding Considering Incremental Class
    • [cs.LG]MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets
    • [cs.LG]Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
    • [cs.LG]Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
    • [cs.LG]New feature for Complex Network based on Ant Colony Optimization for High Level Classification
    • [cs.LG]Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond
    • [cs.LG]Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
    • [cs.LG]ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs
    • [cs.LG]Ranking Policy Decisions
    • [cs.LG]Reinforcement Learning with Feedback-modulated TD-STDP
    • [cs.LG]Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data
    • [cs.LG]SOLAR: Sparse Orthogonal Learned and Random Embeddings
    • [cs.LG]Sharp finite-sample large deviation bounds for independent variables
    • [cs.LG]Structured Graph Learning for Clustering and Semi-supervised Classification
    • [cs.LG]Topology and Neural Networks
    • [cs.LG]Towards Demystifying Dimensions of Source Code Embeddings
    • [cs.MA]Biased Opinion Dynamics: When the Devil Is in the Details
    • [cs.MM]Personal Food Model
    • [cs.NE]Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing
    • [cs.NI]An Efficient Routing Protocol for Secured Communication in Cognitive Radio Sensor Networks
    • [cs.NI]Real-world Video Adaptation with Reinforcement Learning
    • [cs.PF]Performance portability through machine learning guided kernel selection in SYCL libraries
    • [cs.RO]$ε^*$+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles
    • [cs.RO]A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge
    • [cs.RO]Action similarity judgment based on kinematic primitives
    • [cs.RO]Active exploration for body model learning through self-touch on a humanoid robot with artificial skin
    • [cs.RO]Benchmarking Metric Ground Navigation
    • [cs.RO]ChildBot: Multi-Robot Perception and Interaction with Children
    • [cs.RO]Control of a Nature-inspired Scorpion using Reinforcement Learning
    • [cs.RO]Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
    • [cs.RO]Development and Testing of a Novel Automated Insect Capture Module for Sample Collection and Transfer
    • [cs.RO]Footstep Planning with Encoded Linear Temporal Logic Specifications
    • [cs.RO]How does the structure embedded in learning policy affect learning quadruped locomotion?
    • [cs.RO]Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)
    • [cs.RO]T$^{\star}$-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles
    • [cs.RO]Vacuum Driven Auxetic Switching Structure and Its Application on a Gripper and Quadruped
    • [cs.SI]Affective Polarization in Online Climate Change Discourse on Twitter
    • [cs.SI]Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India
    • [cs.SI]Blackmarket-driven Collusion on Online Media: A Survey
    • [cs.SI]Exploiting Tweet Sentiments in Altmetrics Large-Scale Data
    • [cs.SI]Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with Matching Task
    • [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
    • [cs.SI]Polarizing Tweets on Climate Change
    • [cs.SI]Random Surfing Revisited: Generalizing PageRank’s Teleportation Model
    • [econ.EM]Causal Inference in Possibly Nonlinear Factor Models
    • [econ.EM]The Identity Fragmentation Bias
    • [eess.AS]Data augmentation using prosody and false starts to recognize non-native children’s speech
    • [eess.AS]Hierarchical Timbre-Painting and Articulation Generation
    • [eess.AS]Improved Lite Audio-Visual Speech Enhancement
    • [eess.AS]Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition
    • [eess.IV]Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
    • [eess.IV]Evaluating Knowledge Transfer In Neural Network for Medical Images
    • [eess.IV]Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
    • [eess.IV]Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
    • [eess.IV]MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
    • [eess.IV]Plug-and-Play Image Restoration with Deep Denoiser Prior
    • [eess.IV]Switchable Deep Beamformer
    • [eess.IV]Ultra Lightweight Image Super-Resolution with Multi-Attention Layers
    • [eess.IV]Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
    • [eess.IV]Unpaired Learning of Deep Image Denoising
    • [eess.IV]Unsupervised MRI Reconstruction with Generative Adversarial Networks
    • [eess.SP]Blind Determination of the Number of Sources Using Distance Correlation
    • [eess.SP]Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle’s driver’s range anxiety by estimating energy consumption in real-time
    • [eess.SP]Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks
    • [eess.SP]Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis
    • [eess.SP]The Extended “Sequentially Drilled” Joint Congruence Transformation and its Application in Gaussian Independent Vector Analysis
    • [eess.SP]Wireless for Machine Learning
    • [math.CO]A construction of minimal linear codes from partial difference sets
    • [math.CO]Rotational analysis of ChaCha permutation
    • [math.CO]Uniquely optimal codes of low complexity are symmetric
    • [math.NA]Alternating minimization algorithms for graph regularized tensor completion
    • [math.OC]Asymptotically optimal strategies for online prediction with history-dependent experts
    • [math.OC]The Benefits of Autonomous Vehicles for Community-Based Trip Sharing
    • [math.ST]An autocovariance-based learning framework for high-dimensional functional time series
    • [math.ST]Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors
    • [math.ST]Discrete convolution statistic for hypothesis testing
    • [math.ST]Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression
    • [math.ST]Estimation in Tensor Ising Models
    • [math.ST]Note on approximating the Laplace transform of a Gaussian on a complex disk
    • [math.ST]Precise Error Analysis of the LASSO under Correlated Designs
    • [math.ST]Statistical Analysis of Multi-Relational Network Recovery
    • [nlin.CD]Shannon Entropy Rate of Hidden Markov Processes
    • [nlin.CG]Classification of Complex Systems Based on Transients
    • [physics.soc-ph]Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
    • [physics.soc-ph]The evolution of trust and trustworthiness
    • [q-bio.NC]An evolutionary perspective on the design of neuromorphic shape filters
    • [q-bio.NC]Deep Hypergraph U-Net for Brain Graph Embedding and Classification
    • [q-bio.NC]Transfer entropy applied on EEG in depression reveals aberrated dynamics
    • [stat.AP]Directional Assessment of Traffic Flow Extremes
    • [stat.AP]Hierarchical Marketing Mix Models with Sign Constraints
    • [stat.AP]Improving graduation rate estimates using regularly updated Markov chains
    • [stat.AP]Likelihood-based inference for modelling packet transit from thinned flow summaries
    • [stat.AP]Modeling of Daily Precipitation Amounts Using the Mixed Gamma Weibull Distribution
    • [stat.AP]Precision for binary measurement methods and results under beta-binomial distributions
    • [stat.AP]Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
    • [stat.AP]Wisdom of the crowds forecasting the 2018 FIFA Men’s World Cup
    • [stat.ME]Broadcasted Nonparametric Tensor Regression
    • [stat.ME]Causal inference for multiple continuous exposures via the multivariate generalized propensity score
    • [stat.ME]Causal mediation analysis decomposition of between-hospital variance
    • [stat.ME]Design of phase III trials with long-term survival outcomes based on short-term binary results
    • [stat.ME]Empirical Likelihood Weighted Estimation of Average Treatment Effects
    • [stat.ME]Estimation and Sensitivity Analysis for Causal Decomposition in Heath Disparity Research
    • [stat.ME]Estimation of separable direct and indirect effects in continuous time
    • [stat.ME]Goodness-of-fit tests for parametric regression models with circular response
    • [stat.ME]Introduction to logistic regression
    • [stat.ME]Locally induced Gaussian processes for large-scale simulation experiments
    • [stat.ME]Low-Rank Covariance Function Estimation for Multidimensional Functional Data
    • [stat.ME]Model selection for estimation of causal parameters
    • [stat.ME]Optimal Nested Simulation Experiment Design via Likelihood Ratio Method
    • [stat.ME]Real-time discriminant analysis in the presence of label and measurement noise
    • [stat.ME]Robust inference of conditional average treatment effects using dimension reduction
    • [stat.ME]Simulation Framework for Realistic Large-scale Individual-level Health Data Generation
    • [stat.ME]Technical Issues in the Interpretation of S-values and Their Relation to Other Information Measures
    • [stat.ME]The Dinegentropy of Diagnostic Tests
    • [stat.ML]Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression
    • [stat.ML]Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
    • [stat.ML]Loss convergence in a causal Bayesian neural network of retail firm performance
    • [stat.ML]Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle
    • [stat.ML]Modulating Scalable Gaussian Processes for Expressive Statistical Learning

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

    • [cs.AI]A Metamodel and Framework for AGI
    Hugo Latapie, Ozkan Kilic
    http://arxiv.org/abs/2008.12879v1

    • [cs.AI]Corruption and Audit in Strategic Argumentation
    Michael J. Maher
    http://arxiv.org/abs/2008.13115v1

    • [cs.AI]Deep Learning Techniques for Geospatial Data Analysis
    Arvind W. Kiwelekar, Geetanjali S. Mahamunkar, Laxman D. Netak, Valmik B Nikam
    http://arxiv.org/abs/2008.13146v1

    • [cs.AI]On a plausible concept-wise multipreference semantics and its relations with self-organising maps
    Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
    http://arxiv.org/abs/2008.13278v1

    • [cs.AI]Predicting Game Difficulty and Churn Without Players
    Shaghayegh Roohi, Asko Relas, Jari Takatalo, Henri Heiskanen, Perttu Hämäläinen
    http://arxiv.org/abs/2008.12937v1

    • [cs.AR]Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features
    Thomas Lange, Aneesh Balakrishnan, Maximilien Glorieux, Dan Alexandrescu, Luca Sterpone
    http://arxiv.org/abs/2008.13664v1

    • [cs.CC]Is the space complexity of planted clique recovery the same as that of detection?
    Jay Mardia
    http://arxiv.org/abs/2008.12825v1

    • [cs.CL]A Bidirectional Tree Tagging Scheme for Jointly Extracting Overlapping Entities and Relations
    Xukun Luo, Weijie Liu, Meng Ma, Ping Wang
    http://arxiv.org/abs/2008.13339v1

    • [cs.CL]Classifier Combination Approach for Question Classification for Bengali Question Answering System
    Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Paolo Rosso
    http://arxiv.org/abs/2008.13597v1

    • [cs.CL]Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation
    Sourav Das, Anup Kumar Kolya
    http://arxiv.org/abs/2008.13609v1

    • [cs.CL]Discovering Bilingual Lexicons in Polyglot Word Embeddings
    Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
    http://arxiv.org/abs/2008.13347v1

    • [cs.CL]Efficient Computation of Expectations under Spanning Tree Distributions
    Ran Zmigrod, Tim Vieira, Ryan Cotterell
    http://arxiv.org/abs/2008.12988v1

    • [cs.CL]HittER: Hierarchical Transformers for Knowledge Graph Embeddings
    Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
    http://arxiv.org/abs/2008.12813v1

    • [cs.CL]Knowledge Efficient Deep Learning for Natural Language Processing
    Hai Wang
    http://arxiv.org/abs/2008.12878v1

    • [cs.CL]LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis
    Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso
    http://arxiv.org/abs/2008.13173v1

    • [cs.CL]QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
    Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata
    http://arxiv.org/abs/2008.13160v1

    • [cs.CL]Rethinking the objectives of extractive question answering
    Martin Fajcik, Josef Jon, Santosh Kesiraju, Pavel Smrz
    http://arxiv.org/abs/2008.12804v1

    • [cs.CL]SEEC: Semantic Vector Federation across Edge Computing Environments
    Shalisha Witherspoon, Dean Steuer, Graham Bent, Nirmit Desai
    http://arxiv.org/abs/2008.13298v1

    • [cs.CL]SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus
    Sasha Spala, Nicholas A Miller, Franck Dernoncourt, Carl Dockhorn
    http://arxiv.org/abs/2008.13694v1

    • [cs.CL]SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features
    Gangeshwar Krishnamurthy, Raj Kumar Gupta, Yinping Yang
    http://arxiv.org/abs/2008.13012v1

    • [cs.CL]TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
    Anh Tuan Nguyen
    http://arxiv.org/abs/2008.12854v1

    • [cs.CL]Temporal Mental Health Dynamics on Social Media
    Tom Tabak, Matthew Purver
    http://arxiv.org/abs/2008.13121v1

    • [cs.CL]Zero-Resource Knowledge-Grounded Dialogue Generation
    Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao
    http://arxiv.org/abs/2008.12918v1

    • [cs.CR]CenterYou: A cloud-based Approach to Simplify Android Privacy Management
    Seyedmostafa Safavi, Zarina Shukur
    http://arxiv.org/abs/2008.13405v1

    • [cs.CR]Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks
    Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu
    http://arxiv.org/abs/2008.13707v1

    • [cs.CR]Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees
    Milan Lopuhaä-Zwakenberg, Haochen Tong, Boris Škorić
    http://arxiv.org/abs/2008.13151v1

    • [cs.CV]A Compact Deep Architecture for Real-time Saliency Prediction
    Samad Zabihi, Hamed Rezazadegan Tavakoli, Ali Borji
    http://arxiv.org/abs/2008.13227v1

    • [cs.CV]AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning
    Akash Roy
    http://arxiv.org/abs/2008.12995v1

    • [cs.CV]Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking
    Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
    http://arxiv.org/abs/2008.13015v1

    • [cs.CV]Adaptive Local Structure Consistency based Heterogeneous Remote Sensing Change Detection
    Lin Lei, Yuli Sun, Gangyao Kuang
    http://arxiv.org/abs/2008.12958v1

    • [cs.CV]Adversarial Patch Camouflage against Aerial Detection
    Ajaya Adhikari, Richard den Hollander, Ioannis Tolios, Michael van Bekkum, Anneloes Bal, Stijn Hendriks, Maarten Kruithof, Dennis Gross, Nils Jansen, Guillermo Pérez, Kit Buurman, Stephan Raaijmakers
    http://arxiv.org/abs/2008.13671v1

    • [cs.CV]An Integrated Approach to Produce Robust Models with High Efficiency
    Zhijian Li, Bao Wang, Jack Xin
    http://arxiv.org/abs/2008.13305v1

    • [cs.CV]An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images
    Odyssee Merveille, Thomas Lampert, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert
    http://arxiv.org/abs/2008.13050v1

    • [cs.CV]Background Splitting: Finding Rare Classes in a Sea of Background
    Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
    http://arxiv.org/abs/2008.12873v1

    • [cs.CV]Continuous Color Transfer
    Chunzhi Gu, Xuequan Lu, Chao Zhang
    http://arxiv.org/abs/2008.13626v1

    • [cs.CV]Deep Probabilistic Feature-metric Tracking
    Binbin Xu, Andrew J. Davison, Stefan Leutenegger
    http://arxiv.org/abs/2008.13504v1

    • [cs.CV]Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
    Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison
    http://arxiv.org/abs/2008.13254v1

    • [cs.CV]DeepFacePencil: Creating Face Images from Freehand Sketches
    Yuhang Li, Xuejin Chen, Binxin Yang, Zihan Chen, Zhihua Cheng, Zheng-Jun Zha
    http://arxiv.org/abs/2008.13343v1

    • [cs.CV]Driving Through Ghosts: Behavioral Cloning with False Positives
    Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
    http://arxiv.org/abs/2008.12969v1

    • [cs.CV]Dual Attention GANs for Semantic Image Synthesis
    Hao Tang, Song Bai, Nicu Sebe
    http://arxiv.org/abs/2008.13024v1

    • [cs.CV]Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze
    Zahra Anvari, Vassilis Athitsos
    http://arxiv.org/abs/2008.13377v1

    • [cs.CV]Extracting full-field subpixel structural displacements from videos via deep learning
    Lele Luan, Ming L. Wang, Yongchao Yang, Hao Sun
    http://arxiv.org/abs/2008.13715v1

    • [cs.CV]Finding Action Tubes with a Sparse-to-Dense Framework
    Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu
    http://arxiv.org/abs/2008.13196v1

    • [cs.CV]Galaxy Morphology Classification using EfficientNet Architectures
    Shreyas Kalvankar, Hrushikesh Pandit, Pranav Parwate
    http://arxiv.org/abs/2008.13611v1

    • [cs.CV]Initial Classifier Weights Replay for Memoryless Class Incremental Learning
    Eden Belouadah, Adrian Popescu, Ioannis Kanellos
    http://arxiv.org/abs/2008.13710v1

    • [cs.CV]Introducing Representations of Facial Affect in Automated Multimodal Deception Detection
    Leena Mathur, Maja J Matarić
    http://arxiv.org/abs/2008.13369v1

    • [cs.CV]Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator
    Yue Fan, Shilei Chu, Wei Zhang, Ran Song, Yibin Li
    http://arxiv.org/abs/2008.13193v1

    • [cs.CV]Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
    Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman
    http://arxiv.org/abs/2008.12839v1

    • [cs.CV]Learning to Localize Actions from Moments
    Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
    http://arxiv.org/abs/2008.13705v1

    • [cs.CV]Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
    Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan Yuille, Min Sun, Le Lu, Dakai Jin
    http://arxiv.org/abs/2008.13013v1

    • [cs.CV]On segmentation of pectoralis muscle in digital mammograms by means of deep learning
    Hossein Soleimani, Oleg V. Michailovich
    http://arxiv.org/abs/2008.12904v1

    • [cs.CV]Online Spatiotemporal Action Detection and Prediction via Causal Representations
    Gurkirt Singh
    http://arxiv.org/abs/2008.13759v1

    • [cs.CV]Patch-based Brain Age Estimation from MR Images
    Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
    http://arxiv.org/abs/2008.12965v1

    • [cs.CV]Puzzle-AE: Novelty Detection in Images through Solving Puzzles
    Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee
    http://arxiv.org/abs/2008.12959v1

    • [cs.CV]RESA: Recurrent Feature-Shift Aggregator for Lane Detection
    Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
    http://arxiv.org/abs/2008.13719v1

    • [cs.CV]Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
    Ritu Yadav, Axel Vierling, Karsten Berns
    http://arxiv.org/abs/2008.13642v1

    • [cs.CV]RecSal : Deep Recursive Supervision for Visual Saliency Prediction
    Sandeep Mishra, Oindrila Saha
    http://arxiv.org/abs/2008.13745v1

    • [cs.CV]Receptive Multi-granularity Representation for Person Re-Identification
    Guanshuo Wang, Yufeng Yuan, Jiwei Li, Shiming Ge, Xi Zhou
    http://arxiv.org/abs/2008.13450v1

    • [cs.CV]Reinforced Axial Refinement Network for Monocular 3D Object Detection
    Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian
    http://arxiv.org/abs/2008.13748v1

    • [cs.CV]Self-Organized Operational Neural Networks for Severe Image Restoration Problems
    Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
    http://arxiv.org/abs/2008.12894v1

    • [cs.CV]Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
    Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, Yun-hui Liu
    http://arxiv.org/abs/2008.13426v1

    • [cs.CV]Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation
    Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang
    http://arxiv.org/abs/2008.13362v1

    • [cs.CV]Shape Defense
    Ali Borji
    http://arxiv.org/abs/2008.13336v1

    • [cs.CV]Transfer Learning-based Road Damage Detection for Multiple Countries
    Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
    http://arxiv.org/abs/2008.13101v1

    • [cs.CV]Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector
    Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos, Veronique Ziegler, Nikos Chrisochoides
    http://arxiv.org/abs/2008.12860v1

    • [cs.CV]VR-Caps: A Virtual Environment for Capsule Endoscopy
    Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
    http://arxiv.org/abs/2008.12949v1

    • [cs.CV]VarifocalNet: An IoU-aware Dense Object Detector
    Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
    http://arxiv.org/abs/2008.13367v1

    • [cs.CV]Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
    Bo Liu, Qiulei Dong, Zhanyi Hu
    http://arxiv.org/abs/2008.12962v1

    • [cs.CV]iLGaCo: Incremental Learning of Gait Covariate Factors
    Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez, Nicolas Guil, Yan-ran Li, Shiqi Yu
    http://arxiv.org/abs/2008.13507v1

    • [cs.CY]Beyond Our Behavior: The GDPR and Humanistic Personalization
    Travis Greene, Galit Shmueli
    http://arxiv.org/abs/2008.13404v1

    • [cs.CY]Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
    Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon, Hirotaka Takahashi
    http://arxiv.org/abs/2008.13166v1

    • [cs.CY]Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education
    Mohammed Alsuwaiket, Anas H. Blasi, Ra’Fat Al-Msie’deen
    http://arxiv.org/abs/2008.13255v1

    • [cs.CY]Perla: A Conversational Agent for Depression Screening in Digital Ecosystems. Design, Implementation and Validation
    Raúl Arrabales
    http://arxiv.org/abs/2008.12875v1

    • [cs.CY]Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
    Matthias Kaiser, Andrew Tzer-Yeu Chen, Peter Gluckman
    http://arxiv.org/abs/2008.13637v1

    • [cs.CY]Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges
    Mohammadhossein Ghahramani, MengChu Zhou, Gang Wang
    http://arxiv.org/abs/2008.12992v1

    • [cs.CY]Vehicle Route Prediction through Multiple Sensors Data Fusion
    Ali Nawaz, Attique Ur Rehman
    http://arxiv.org/abs/2008.13117v1

    • [cs.DC]A Self-adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing
    Minxian Xu, Adel N. Toosi, Rajkumar Buyya
    http://arxiv.org/abs/2008.13312v1

    • [cs.DC]Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
    Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
    http://arxiv.org/abs/2008.13006v1

    • [cs.DC]Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
    Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D’Imperio, Kerstin Kleese Van Dam
    http://arxiv.org/abs/2008.13742v1

    • [cs.DC]Fifer: Tackling Underutilization in the Serverless Era
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram, Mahmut T. Kandemir, Chita R. Das
    http://arxiv.org/abs/2008.12819v1

    • [cs.DC]Lecture Notes on Leader-based Sequence Paxos — An Understandable Sequence Consensus Algorithm
    Seif Haridi, Lars Kroll, Paris Carbone
    http://arxiv.org/abs/2008.13456v1

    • [cs.DC]Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
    Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
    http://arxiv.org/abs/2008.12820v1

    • [cs.DC]Power and Performance Analysis of Persistent Key-Value Stores
    Stella Mikrou, Anastasios Papagiannis, Giorgos Saloustros, Manolis Marazakis, Angelos Bilas
    http://arxiv.org/abs/2008.13402v1

    • [cs.DL]A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies
    Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann
    http://arxiv.org/abs/2008.13020v1

    • [cs.DL]Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
    Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
    http://arxiv.org/abs/2008.13099v1

    • [cs.DS]Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
    Jingqiu Ding, Samuel B. Hopkins, David Steurer
    http://arxiv.org/abs/2008.13735v1

    • [cs.DS]Low-Depth Parallel Algorithms for the Binary-Forking Model without Atomics
    Zafar Ahmad, Rezaul Chowdhury, Rathish Das, Pramod Ganapathi, Aaron Gregory, Mohammad Mahdi Javanmard
    http://arxiv.org/abs/2008.13292v1

    • [cs.ET]Floating-Point Multiplication Using Neuromorphic Computing
    Karn Dubey, Urja Kothari, Shrisha Rao
    http://arxiv.org/abs/2008.13245v1

    • [cs.HC]Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks
    Linh Kästner, Leon Eversberg, Marina Mursa, Jens Lambrecht
    http://arxiv.org/abs/2008.13419v1

    • [cs.HC]LinkRing: A Wearable Haptic Display for Delivering Multi-contact and Multi-modal Stimuli at the Finger Pads
    Aysien Ivanov, Daria Trinitatova, Dzmitry Tsetserukou
    http://arxiv.org/abs/2008.13262v1

    • [cs.HC]Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data
    Fabio Miranda, Maryam Hosseini, Marcos Lage, Harish Doraiswamy, Graham Dove, Claudio T. Silva
    http://arxiv.org/abs/2008.13321v1

    • [cs.HC]Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment
    Shahid Nawaz Khan, Maitree Leekha, Jainendra Shukla, Rajiv Ratn Shah
    http://arxiv.org/abs/2008.13769v1

    • [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartor for Top-K Recommender Systems
    Hyunsung Lee, Yeongjae Jang, Jaekwang Kim, Honguk Woo
    http://arxiv.org/abs/2008.13141v1

    • [cs.IR]Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences
    Makbule Gulcin Ozsoy
    http://arxiv.org/abs/2008.13281v1

    • [cs.IR]Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics
    Hai-Tao Yu
    http://arxiv.org/abs/2008.13373v1

    • [cs.IR]PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
    Suman Bhoi, Lee Mong Li, Wynne Hsu
    http://arxiv.org/abs/2008.13569v1

    • [cs.IR]PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank
    Hai-Tao Yu
    http://arxiv.org/abs/2008.13368v1

    • [cs.IR]Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation
    Thanh Tran, Di You, Kyumin Lee
    http://arxiv.org/abs/2008.13335v1

    • [cs.IT]Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
    Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, Victor C. M. Leung, H. Vincent Poor
    http://arxiv.org/abs/2008.13191v1

    • [cs.IT]Coding Constructions for Efficient Oblivious Transfer from Noisy Channels
    Frédérique Oggier, Gilles Zémor
    http://arxiv.org/abs/2008.13551v1

    • [cs.IT]Construction of LDPC convolutional codes via difference triangle sets
    Gianira N. Alfarano, Julia Lieb, Joachim Rosenthal
    http://arxiv.org/abs/2008.13470v1

    • [cs.IT]Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design
    Beixiong Zheng, Changsheng You, Rui Zhang
    http://arxiv.org/abs/2008.13701v1

    • [cs.IT]On Communication for Distributed Babai Point Computation
    Maiara F. Bollauf, Vinay A. Vaishampayan, Sueli I. R. Costa
    http://arxiv.org/abs/2008.13075v1

    • [cs.IT]Predictor Antennas for Moving Relays: Finite Block-length Analysis
    Hao Guo, Behrooz Makki, Tommy Svensson
    http://arxiv.org/abs/2008.13444v1

    • [cs.IT]Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity
    Holger Boche, Rafael F. Schaefer, H. Vincent Poor
    http://arxiv.org/abs/2008.13270v1

    • [cs.IT]Uplink Channel Estimation and Signal Extraction Under Malicious Attack in Massive MIMO System
    Xiaofeng Zheng, Ruohan Cao, Yueming Lu
    http://arxiv.org/abs/2008.13400v1

    • [cs.LG]$K$-way $p$-spectral clustering on Grassmann manifolds
    Dimosthenis Pasadakis, Christie Louis Alappat, Olaf Schenk, Gerhard Wellein
    http://arxiv.org/abs/2008.13210v1

    • [cs.LG]$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
    Dionysis Manousakas, Cecilia Mascolo
    http://arxiv.org/abs/2008.13600v1

    • [cs.LG]A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees
    Deepan Muthirayan, Pramod Khargonekar
    http://arxiv.org/abs/2008.13265v1

    • [cs.LG]A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment
    Menashe Benjamin, Guy Engelhard, Alex Aisen, Yinon Aradi, Elad Benjamin
    http://arxiv.org/abs/2008.13781v1

    • [cs.LG]A New Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
    Yanan Sun, Xian Sun, Yuhan Fang, Gary Yen
    http://arxiv.org/abs/2008.13187v1

    • [cs.LG]A Novel Multiple Ensemble Learning Models Based on Different Datasets for Software Defect Prediction
    Ali Nawaz, Attique Ur Rehman, Muhammad Abbas
    http://arxiv.org/abs/2008.13114v1

    • [cs.LG]A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments
    Ryan J. Urbanowicz, Pranshu Suri, Yuchen Lu, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch
    http://arxiv.org/abs/2008.12829v1

    • [cs.LG]AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
    Mohammadhossein Ghahramani, Yan Qiao, MengChu Zhou, Adrian OHagan, James Sweeney
    http://arxiv.org/abs/2008.12987v1

    • [cs.LG]Active Local Learning
    Arturs Backurs, Avrim Blum, Neha Gupta
    http://arxiv.org/abs/2008.13374v1

    • [cs.LG]Adversarial Learning for Counterfactual Fairness
    Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
    http://arxiv.org/abs/2008.13122v1

    • [cs.LG]Adversarial Privacy Preserving Graph Embedding against Inference Attack
    Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai
    http://arxiv.org/abs/2008.13072v1

    • [cs.LG]An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means
    Benjamin Moseley, Yuyan Wang
    http://arxiv.org/abs/2008.13235v1

    • [cs.LG]Anomaly Detection by Recombining Gated Unsupervised Experts
    J. -P. Schulze, P. Sperl, K. Böttinger
    http://arxiv.org/abs/2008.13763v1

    • [cs.LG]Benchmarking adversarial attacks and defenses for time-series data
    Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed
    http://arxiv.org/abs/2008.13261v1

    • [cs.LG]Beyond variance reduction: Understanding the true impact of baselines on policy optimization
    Wesley Chung, Valentin Thomas, Marlos C. Machado, Nicolas Le Roux
    http://arxiv.org/abs/2008.13773v1

    • [cs.LG]CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
    Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
    http://arxiv.org/abs/2008.12828v1

    • [cs.LG]Complex-valued embeddings of generic proximity data
    Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
    http://arxiv.org/abs/2008.13454v1

    • [cs.LG]Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
    Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
    http://arxiv.org/abs/2008.13319v1

    • [cs.LG]Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
    Aleksandar Bojchevski, Johannes Klicpera, Stephan Günnemann
    http://arxiv.org/abs/2008.12952v1

    • [cs.LG]Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach
    Malena Reiners, Kathrin Klamroth, Michael Stiglmayr
    http://arxiv.org/abs/2008.13590v1

    • [cs.LG]Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial
    Jussi Tohka, Mark van Gils
    http://arxiv.org/abs/2008.13690v1

    • [cs.LG]Extreme Memorization via Scale of Initialization
    Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur
    http://arxiv.org/abs/2008.13363v1

    • [cs.LG]GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model
    Seok-Ju Hahn, Junghye Lee
    http://arxiv.org/abs/2008.12925v1

    • [cs.LG]Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
    Vinicius G. Goecks
    http://arxiv.org/abs/2008.13221v1

    • [cs.LG]Improving Resistance to Adversarial Deformations by Regularizing Gradients
    Pengfei Xia, Bin Li
    http://arxiv.org/abs/2008.12997v1

    • [cs.LG]Langevin Cooling for Domain Translation
    Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
    http://arxiv.org/abs/2008.13723v1

    • [cs.LG]Learning Adaptive Embedding Considering Incremental Class
    Yang Yang, Zhen-Qiang Sun, HengShu Zhu, Yanjie Fu, Hui Xiong, Jian Yang
    http://arxiv.org/abs/2008.13351v1

    • [cs.LG]MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets
    Wojciech Kretowicz, Przemysław Biecek
    http://arxiv.org/abs/2008.13162v1

    • [cs.LG]Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
    Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
    http://arxiv.org/abs/2008.13361v1

    • [cs.LG]Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
    Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu
    http://arxiv.org/abs/2008.13539v1

    • [cs.LG]New feature for Complex Network based on Ant Colony Optimization for High Level Classification
    Josimar E. Chire-Saire
    http://arxiv.org/abs/2008.12884v1

    • [cs.LG]Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond
    Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang
    http://arxiv.org/abs/2008.13128v1

    • [cs.LG]Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
    Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun
    http://arxiv.org/abs/2008.12833v1

    • [cs.LG]ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs
    Andrea Valenti, Michele Barsotti, Raffaello Brondi, Davide Bacciu, Luca Ascari
    http://arxiv.org/abs/2008.13485v1

    • [cs.LG]Ranking Policy Decisions
    Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening
    http://arxiv.org/abs/2008.13607v1

    • [cs.LG]Reinforcement Learning with Feedback-modulated TD-STDP
    Stephen Chung, Robert Kozma
    http://arxiv.org/abs/2008.13044v1

    • [cs.LG]Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data
    Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban
    http://arxiv.org/abs/2008.13306v1

    • [cs.LG]SOLAR: Sparse Orthogonal Learned and Random Embeddings
    Tharun Medini, Beidi Chen, Anshumali Shrivastava
    http://arxiv.org/abs/2008.13225v1

    • [cs.LG]Sharp finite-sample large deviation bounds for independent variables
    Akshay Balsubramani
    http://arxiv.org/abs/2008.13293v1

    • [cs.LG]Structured Graph Learning for Clustering and Semi-supervised Classification
    Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
    http://arxiv.org/abs/2008.13429v1

    • [cs.LG]Topology and Neural Networks
    Mustafa Hajij, Kyle Istvan
    http://arxiv.org/abs/2008.13697v1

    • [cs.LG]Towards Demystifying Dimensions of Source Code Embeddings
    Md Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour
    http://arxiv.org/abs/2008.13064v1

    • [cs.MA]Biased Opinion Dynamics: When the Devil Is in the Details
    Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
    http://arxiv.org/abs/2008.13589v1

    • [cs.MM]Personal Food Model
    Ali Rostami, Vaibhav Pandey, Nitish Nag, Vesper Wang, Ramesh Jain
    http://arxiv.org/abs/2008.12855v1

    • [cs.NE]Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing
    Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas
    http://arxiv.org/abs/2008.13253v1

    • [cs.NI]An Efficient Routing Protocol for Secured Communication in Cognitive Radio Sensor Networks
    Sharmin Akter, Mohammad Shahriar Rahman, Nafees Mansoor
    http://arxiv.org/abs/2008.12895v1

    • [cs.NI]Real-world Video Adaptation with Reinforcement Learning
    Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
    http://arxiv.org/abs/2008.12858v1

    • [cs.PF]Performance portability through machine learning guided kernel selection in SYCL libraries
    John Lawson
    http://arxiv.org/abs/2008.13145v1

    • [cs.RO]**$ε^$+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles
    Zongyuan Shen, James P. Wilson, Shalabh Gupta
    http://arxiv.org/abs/2008.13041v1

    • [cs.RO]A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge
    Anna Boschi, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge
    http://arxiv.org/abs/2008.13474v1

    • [cs.RO]Action similarity judgment based on kinematic primitives
    Vipul Nair, Paul Hemeren, Alessia Vignolo, Nicoletta Noceti, Elena Nicora, Alessandra Sciutti, Francesco Rea, Erik Billing, Francesca Odone, Giulio Sandini
    http://arxiv.org/abs/2008.13176v1

    • [cs.RO]Active exploration for body model learning through self-touch on a humanoid robot with artificial skin
    Filipe Gama, Maksym Shcherban, Matthias Rolf, Matej Hoffmann
    http://arxiv.org/abs/2008.13483v1

    • [cs.RO]Benchmarking Metric Ground Navigation
    Daniel Perille, Abigail Truong, Xuesu Xiao, Peter Stone
    http://arxiv.org/abs/2008.13315v1

    • [cs.RO]ChildBot: Multi-Robot Perception and Interaction with Children
    Niki Efthymiou, Panagiotis P. Filntisis, Petros Koutras, Antigoni Tsiami, Jack Hadfield, Gerasimos Potamianos, Petros Maragos
    http://arxiv.org/abs/2008.12818v1

    • [cs.RO]Control of a Nature-inspired Scorpion using Reinforcement Learning
    Aakriti Agrawal, V S Rajashekhar, Rohitkumar Arasanipalai, Debasish Ghose
    http://arxiv.org/abs/2008.13712v1

    • [cs.RO]Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
    Oren Spector, Miriam Zacksenhouse
    http://arxiv.org/abs/2008.13223v1

    • [cs.RO]Development and Testing of a Novel Automated Insect Capture Module for Sample Collection and Transfer
    Keran Ye, Gustavo J. Correa, Tom Guda, Hanzhe Teng, Anandasankar Ray, Konstantinos Karydis
    http://arxiv.org/abs/2008.12920v1

    • [cs.RO]Footstep Planning with Encoded Linear Temporal Logic Specifications
    Vikram Ramanathan
    http://arxiv.org/abs/2008.13661v1

    • [cs.RO]How does the structure embedded in learning policy affect learning quadruped locomotion?
    Kuangen Zhang, Jongwoo Lee, Zhimin Hou, Clarence W. de Silva, Chenglong Fu, Neville Hogan
    http://arxiv.org/abs/2008.12970v1

    • [cs.RO]Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)
    Geesara Kulathunga, Dmitry Devitt, Roman Fedorenko, Sergei Savin, Alexandr Klimchik
    http://arxiv.org/abs/2008.12950v1

    • [cs.RO]T$^{\star}$-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles
    James P. Wilson, Zongyuan Shen, Shalabh Gupta, Thomas A. Wettergren
    http://arxiv.org/abs/2008.13048v1

    • [cs.RO]Vacuum Driven Auxetic Switching Structure and Its Application on a Gripper and Quadruped
    Shuai Liu, Sheeraz Athar, Michael Yu Wang
    http://arxiv.org/abs/2008.12864v1

    • [cs.SI]Affective Polarization in Online Climate Change Discourse on Twitter
    Aman Tyagi, Joshua Uyheng, Kathleen M. Carley
    http://arxiv.org/abs/2008.13051v1

    • [cs.SI]Analysis, Modeling, and Representation of COVID-19 Spread: A Case Study on India
    Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta
    http://arxiv.org/abs/2008.13116v1

    • [cs.SI]Blackmarket-driven Collusion on Online Media: A Survey
    Hridoy Sankar Dutta, Tanmoy Chakraborty
    http://arxiv.org/abs/2008.13102v1

    • [cs.SI]Exploiting Tweet Sentiments in Altmetrics Large-Scale Data
    Saeed-Ul Hassan, Naif Radi Aljohani, Usman Iqbal Tarar, Iqra Safder, Raheem Sarwar, Salem Alelyani, Raheel Nawaz
    http://arxiv.org/abs/2008.13023v1

    • [cs.SI]Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with Matching Task
    Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang, Xiu Li
    http://arxiv.org/abs/2008.13345v1

    • [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
    Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri
    http://arxiv.org/abs/2008.13036v1

    • [cs.SI]Polarizing Tweets on Climate Change
    Aman Tyagi, Matthew Babcock, Kathleen M. Carley, Douglas C. Sicker
    http://arxiv.org/abs/2008.13054v1

    • [cs.SI]Random Surfing Revisited: Generalizing PageRank’s Teleportation Model
    Athanasios N. Nikolakopoulos
    http://arxiv.org/abs/2008.12916v1

    • [econ.EM]Causal Inference in Possibly Nonlinear Factor Models
    Yingjie Feng
    http://arxiv.org/abs/2008.13651v1

    • [econ.EM]The Identity Fragmentation Bias
    Tesary Lin, Sanjog Misra
    http://arxiv.org/abs/2008.12849v1

    • [eess.AS]Data augmentation using prosody and false starts to recognize non-native children’s speech
    Hemant Kathania, Mittul Singh, Tamás Grósz, Mikko Kurimo
    http://arxiv.org/abs/2008.12914v1

    • [eess.AS]Hierarchical Timbre-Painting and Articulation Generation
    Michael Michelashvili, Lior Wolf
    http://arxiv.org/abs/2008.13095v1

    • [eess.AS]Improved Lite Audio-Visual Speech Enhancement
    Shang-Yi Chuang, Hsin-Min Wang, Yu Tsao
    http://arxiv.org/abs/2008.13222v1

    • [eess.AS]Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition
    Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He
    http://arxiv.org/abs/2008.13093v1

    • [eess.IV]Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
    Shuqiang Wang, Zhuo Chen, Wen Yu, Baiying Lei
    http://arxiv.org/abs/2008.13109v1

    • [eess.IV]Evaluating Knowledge Transfer In Neural Network for Medical Images
    Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
    http://arxiv.org/abs/2008.13574v1

    • [eess.IV]Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
    Anne-Sophie Collin, Christophe De Vleeschouwer
    http://arxiv.org/abs/2008.12977v1

    • [eess.IV]Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
    Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean Barratt, Yipeng Hu
    http://arxiv.org/abs/2008.13002v1

    • [eess.IV]MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
    Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang
    http://arxiv.org/abs/2008.13084v1

    • [eess.IV]Plug-and-Play Image Restoration with Deep Denoiser Prior
    Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2008.13751v1

    • [eess.IV]Switchable Deep Beamformer
    Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
    http://arxiv.org/abs/2008.13646v1

    • [eess.IV]Ultra Lightweight Image Super-Resolution with Multi-Attention Layers
    Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae
    http://arxiv.org/abs/2008.12912v1

    • [eess.IV]Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
    Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
    http://arxiv.org/abs/2008.12967v1

    • [eess.IV]Unpaired Learning of Deep Image Denoising
    Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo
    http://arxiv.org/abs/2008.13711v1

    • [eess.IV]Unsupervised MRI Reconstruction with Generative Adversarial Networks
    Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong
    http://arxiv.org/abs/2008.13065v1

    • [eess.SP]Blind Determination of the Number of Sources Using Distance Correlation
    Amir Weiss, Arie Yeredor
    http://arxiv.org/abs/2008.13096v1

    • [eess.SP]Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle’s driver’s range anxiety by estimating energy consumption in real-time
    Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak
    http://arxiv.org/abs/2008.13559v1

    • [eess.SP]Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks
    Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani
    http://arxiv.org/abs/2008.12938v1

    • [eess.SP]Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis
    Amir Weiss, Sher Ali Cheema, Martin Haardt, Arie Yeredor
    http://arxiv.org/abs/2008.13189v1

    • [eess.SP]The Extended “Sequentially Drilled” Joint Congruence Transformation and its Application in Gaussian Independent Vector Analysis
    Amir Weiss, Arie Yeredor, Sher Ali Cheema, Martin Haardt
    http://arxiv.org/abs/2008.13199v1

    • [eess.SP]Wireless for Machine Learning
    Henrik Hellström, José Maitron B, da Silva Jr, Viktoria Fodor, Carlo Fischione
    http://arxiv.org/abs/2008.13492v1

    • [math.CO]A construction of minimal linear codes from partial difference sets
    Ran Tao, Tao Feng, Weicong Li
    http://arxiv.org/abs/2008.12998v1

    • [math.CO]Rotational analysis of ChaCha permutation
    Stefano Barbero, Emanuele Bellini, Rusydi Makarim
    http://arxiv.org/abs/2008.13406v1

    • [math.CO]Uniquely optimal codes of low complexity are symmetric
    Christopher Cox, Emily J. King, Dustin G. Mixon, Hans Parshall
    http://arxiv.org/abs/2008.12871v1

    • [math.NA]Alternating minimization algorithms for graph regularized tensor completion
    Yu Guan, Shuyu Dong, P. -A. Absil, François Glineur
    http://arxiv.org/abs/2008.12876v1

    • [math.OC]Asymptotically optimal strategies for online prediction with history-dependent experts
    Jeff Calder, Nadejda Drenska
    http://arxiv.org/abs/2008.13703v1

    • [math.OC]The Benefits of Autonomous Vehicles for Community-Based Trip Sharing
    Mohd. Hafiz Hasan, Pascal Van Hentenryck
    http://arxiv.org/abs/2008.12800v1

    • [math.ST]An autocovariance-based learning framework for high-dimensional functional time series
    Jinyuan Chang, Cheng Chen, Xinghao Qiao
    http://arxiv.org/abs/2008.12885v1

    • [math.ST]Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors
    Kyoungjae Lee, Minwoo Chae, Lizhen Lin
    http://arxiv.org/abs/2008.13174v1

    • [math.ST]Discrete convolution statistic for hypothesis testing
    Giulio Prevedello, Ken R. Duffy
    http://arxiv.org/abs/2008.13657v1

    • [math.ST]Efficiency Loss of Asymptotically Efficient Tests in an Instrumental Variables Regression
    Marcelo J. Moreira, Geert Ridder
    http://arxiv.org/abs/2008.13042v1

    • [math.ST]Estimation in Tensor Ising Models
    Somabha Mukherjee, Jaesung Son, Bhaswar B. Bhattacharya
    http://arxiv.org/abs/2008.12882v1

    • [math.ST]Note on approximating the Laplace transform of a Gaussian on a complex disk
    Yury Polyanskiy, Yihong Wu
    http://arxiv.org/abs/2008.13372v1

    • [math.ST]Precise Error Analysis of the LASSO under Correlated Designs
    Ayed M. Alrashdi, Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2008.13033v1

    • [math.ST]Statistical Analysis of Multi-Relational Network Recovery
    Zhi Wang, Xueying Tang, Jingchen Liu
    http://arxiv.org/abs/2008.13056v1

    • [nlin.CD]Shannon Entropy Rate of Hidden Markov Processes
    Alexandra M. Jurgens, James P. Crutchfield
    http://arxiv.org/abs/2008.12886v1

    • [nlin.CG]Classification of Complex Systems Based on Transients
    Barbora Hudcova, Tomas Mikolov
    http://arxiv.org/abs/2008.13503v1

    • [physics.soc-ph]Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
    P. S. Dodds, J. R. Minot, M. V. Arnold, T. Alshaabi, J. L. Adams, D. R. Dewhurst, A. J. Reagan, C. M. Danforth
    http://arxiv.org/abs/2008.13078v1

    • [physics.soc-ph]The evolution of trust and trustworthiness
    Aanjaneya Kumar, Valerio Capraro, Matjaz Perc
    http://arxiv.org/abs/2008.12948v1

    • [q-bio.NC]An evolutionary perspective on the design of neuromorphic shape filters
    Ernest Greene
    http://arxiv.org/abs/2008.13229v1

    • [q-bio.NC]Deep Hypergraph U-Net for Brain Graph Embedding and Classification
    Mert Lostar, Islem Rekik
    http://arxiv.org/abs/2008.13118v1

    • [q-bio.NC]Transfer entropy applied on EEG in depression reveals aberrated dynamics
    Milena Cukic, Slavoljub Radenkovic, Miodrag Stokic, Danka Savic
    http://arxiv.org/abs/2008.13625v1

    • [stat.AP]Directional Assessment of Traffic Flow Extremes
    Maria Osipenko
    http://arxiv.org/abs/2008.13655v1

    • [stat.AP]Hierarchical Marketing Mix Models with Sign Constraints
    Hao Chen, Minguang Zhang, Lanshan Han, Alvin Lim
    http://arxiv.org/abs/2008.12802v1

    • [stat.AP]Improving graduation rate estimates using regularly updated Markov chains
    Shahab Boumi, Adan Vela
    http://arxiv.org/abs/2008.13296v1

    • [stat.AP]Likelihood-based inference for modelling packet transit from thinned flow summaries
    Prosha A. Rahman, Boris Beranger, Matthew Roughan, Scott A. Sisson
    http://arxiv.org/abs/2008.13424v1

    • [stat.AP]Modeling of Daily Precipitation Amounts Using the Mixed Gamma Weibull Distribution
    Hsien-Wei Chen
    http://arxiv.org/abs/2008.13068v1

    • [stat.AP]Precision for binary measurement methods and results under beta-binomial distributions
    Jun-ichi Takeshita, Tomomichi Suzuki
    http://arxiv.org/abs/2008.13619v1

    • [stat.AP]Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
    Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
    http://arxiv.org/abs/2008.13412v1

    • [stat.AP]Wisdom of the crowds forecasting the 2018 FIFA Men’s World Cup
    Marco Henrique de Almeida Inácio, Rafael Izbicki, Danilo Lourenço Lopes, Luis Ernesto Salasar, João Poloniato, Marcio Alves Diniz
    http://arxiv.org/abs/2008.13005v1

    • [stat.ME]Broadcasted Nonparametric Tensor Regression
    Ya Zhou, Raymond K. W. Wong, Kejun He
    http://arxiv.org/abs/2008.12927v1

    • [stat.ME]Causal inference for multiple continuous exposures via the multivariate generalized propensity score
    Justin R. Williams, Catherine M. Crespi
    http://arxiv.org/abs/2008.13767v1

    • [stat.ME]Causal mediation analysis decomposition of between-hospital variance
    Bo Chen, Keith A. Lawson, Antonio Finelli, Olli Saarela
    http://arxiv.org/abs/2008.12807v1

    • [stat.ME]Design of phase III trials with long-term survival outcomes based on short-term binary results
    Marta Bofill Roig, Yu Shen, Guadalupe Gómez Melis
    http://arxiv.org/abs/2008.12887v1

    • [stat.ME]Empirical Likelihood Weighted Estimation of Average Treatment Effects
    Yuanyao Tan, Xialing Wen, Wei Liang, Ying Yan
    http://arxiv.org/abs/2008.12989v1

    • [stat.ME]Estimation and Sensitivity Analysis for Causal Decomposition in Heath Disparity Research
    Soojin Park, Chioun Lee, Xu Qin
    http://arxiv.org/abs/2008.12812v1

    • [stat.ME]Estimation of separable direct and indirect effects in continuous time
    Torben Martinussen, Mats Julius Stensrud
    http://arxiv.org/abs/2008.13126v1

    • [stat.ME]Goodness-of-fit tests for parametric regression models with circular response
    Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras
    http://arxiv.org/abs/2008.13473v1

    • [stat.ME]Introduction to logistic regression
    Moo K. Chung
    http://arxiv.org/abs/2008.13567v1

    • [stat.ME]Locally induced Gaussian processes for large-scale simulation experiments
    D. Austin Cole, Ryan Christianson, Robert B. Gramacy
    http://arxiv.org/abs/2008.12857v1

    • [stat.ME]Low-Rank Covariance Function Estimation for Multidimensional Functional Data
    Jiayi Wang, Raymond K. W. Wong, Xiaoke Zhang
    http://arxiv.org/abs/2008.12919v1

    • [stat.ME]Model selection for estimation of causal parameters
    Dominik Rothenhäusler
    http://arxiv.org/abs/2008.12892v1

    • [stat.ME]Optimal Nested Simulation Experiment Design via Likelihood Ratio Method
    Mingbin Ben Feng, Eunhye Song
    http://arxiv.org/abs/2008.13087v1

    • [stat.ME]Real-time discriminant analysis in the presence of label and measurement noise
    Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere, Peter J. Rousseeuw, Mia Hubert
    http://arxiv.org/abs/2008.12974v1

    • [stat.ME]Robust inference of conditional average treatment effects using dimension reduction
    Ming-Yueh Huang, Shu Yang
    http://arxiv.org/abs/2008.13137v1

    • [stat.ME]Simulation Framework for Realistic Large-scale Individual-level Health Data Generation
    Santtu Tikka, Jussi Hakanen, Mirka Saarela, Juha Karvanen
    http://arxiv.org/abs/2008.13558v1

    • [stat.ME]Technical Issues in the Interpretation of S-values and Their Relation to Other Information Measures
    Zad Rafi, Sander Greenland
    http://arxiv.org/abs/2008.12991v1

    • [stat.ME]The Dinegentropy of Diagnostic Tests
    Nozer D. Singpurwalla, Boya Lai
    http://arxiv.org/abs/2008.13127v1

    • [stat.ML]Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression
    Saumya Bhatnagar, Won Chang, Seonjin Kim Jiali Wang
    http://arxiv.org/abs/2008.13066v1

    • [stat.ML]Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
    Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
    http://arxiv.org/abs/2008.13443v1

    • [stat.ML]Loss convergence in a causal Bayesian neural network of retail firm performance
    F. Trevor Rogers
    http://arxiv.org/abs/2008.13038v1

    • [stat.ML]Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle
    Lijun Ding, Yuqian Zhang, Yudong Chen
    http://arxiv.org/abs/2008.13777v1

    • [stat.ML]Modulating Scalable Gaussian Processes for Expressive Statistical Learning
    Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
    http://arxiv.org/abs/2008.12922v1