cond-mat.str-el - 强关联电子系统
cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DM - 离散数学 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.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.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 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.DS - 动力系统 math.FA - 泛函演算 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学
• [cond-mat.str-el]Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
• [cs.AI]Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations
• [cs.AI]Cluster-Based Information Retrieval by using (K-means)- Hierarchical Parallel Genetic Algorithms Approach
• [cs.AI]Ergodic Annealing
• [cs.AI]On The Plurality of Graphs
• [cs.AI]State-of-the-art Techniques in Deep Edge Intelligence
• [cs.AI]Statistical Inference of Minimally Complex Models
• [cs.AI]Structural Causal Models Are (Solvable by) Credal Networks
• [cs.AI]The Tactician (extended version): A Seamless, Interactive Tactic Learner and Prover for Coq
• [cs.AI]V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach
• [cs.AR]Custom Tailored Suite of Random Forests for Prefetcher Adaptation
• [cs.CE]Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
• [cs.CL]A Text Classification Survey: From Shallow to Deep Learning
• [cs.CL]Cross-context News Corpus for Protest Events related Knowledge Base Construction
• [cs.CL]Deep Learning based Topic Analysis on Financial Emerging Event Tweets
• [cs.CL]Elsevier OA CC-By Corpus
• [cs.CL]Extracting actionable information from microtexts
• [cs.CL]Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments
• [cs.CL]LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
• [cs.CL]Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
• [cs.CL]OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
• [cs.CL]Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
• [cs.CL]Relation Extraction with Self-determined Graph Convolutional Network
• [cs.CL]SemEval-2020 Task 5: Counterfactual Recognition
• [cs.CL]SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
• [cs.CL]The test set for the TransCoder system
• [cs.CL]Video Question Answering on Screencast Tutorials
• [cs.CR]BatNet: Data transmission between smartphones over ultrasound
• [cs.CR]SCNet: A Neural Network for Automated Side-Channel Attack
• [cs.CR]Trojaning Language Models for Fun and Profit
• [cs.CV]AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
• [cs.CV]AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
• [cs.CV]Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
• [cs.CV]Active Object Search
• [cs.CV]Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
• [cs.CV]Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
• [cs.CV]Adversarial Semantic Data Augmentation for Human Pose Estimation
• [cs.CV]An Explainable Machine Learning Model for Early Detection of Parkinson’s Disease using LIME on DaTscan Imagery
• [cs.CV]An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
• [cs.CV]Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation
• [cs.CV]Anti-Bandit Neural Architecture Search for Model Defense
• [cs.CV]Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
• [cs.CV]Blind Face Restoration via Deep Multi-scale Component Dictionaries
• [cs.CV]Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain
• [cs.CV]Contrastive Explanations in Neural Networks
• [cs.CV]DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
• [cs.CV]Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
• [cs.CV]Deep Photo Cropper and Enhancer
• [cs.CV]Distilling Visual Priors from Self-Supervised Learning
• [cs.CV]Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
• [cs.CV]Efficient Adversarial Attacks for Visual Object Tracking
• [cs.CV]Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
• [cs.CV]Eigen-CAM: Class Activation Map using Principal Components
• [cs.CV]Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
• [cs.CV]Explainable Face Recognition
• [cs.CV]Frame-To-Frame Consistent Semantic Segmentation
• [cs.CV]From Design Draft to Real Attire: Unaligned Fashion Image Translation
• [cs.CV]From Shadow Segmentation to Shadow Removal
• [cs.CV]Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
• [cs.CV]GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian
• [cs.CV]HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
• [cs.CV]HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion
• [cs.CV]Improving One-stage Visual Grounding by Recursive Sub-query Construction
• [cs.CV]Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features
• [cs.CV]Integrated monitoring of ice in selected Swiss lakes. Final project report
• [cs.CV]L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks
• [cs.CV]LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
• [cs.CV]Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
• [cs.CV]Learning to Purify Noisy Labels via Meta Soft Label Corrector
• [cs.CV]Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
• [cs.CV]Mask Point R-CNN
• [cs.CV]Memory-augmented Dense Predictive Coding for Video Representation Learning
• [cs.CV]Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
• [cs.CV]PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
• [cs.CV]PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition
• [cs.CV]PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
• [cs.CV]Point Cloud Completion by Learning Shape Priors
• [cs.CV]Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
• [cs.CV]RGB-D Salient Object Detection: A Survey
• [cs.CV]RareAct: A video dataset of unusual interactions
• [cs.CV]Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
• [cs.CV]Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition
• [cs.CV]Rethinking Image Deraining via Rain Streaks and Vapors
• [cs.CV]Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
• [cs.CV]SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
• [cs.CV]Segmenting overlapped objects in images. A study to support the diagnosis of sickle cell disease
• [cs.CV]Self-supervised Learning of Point Clouds via Orientation Estimation
• [cs.CV]Self-supervised Object Tracking with Cycle-consistent Siamese Networks
• [cs.CV]Self-supervised Visual Attribute Learning for Fashion Compatibility
• [cs.CV]Semi-supervised deep learning based on label propagation in a 2D embedded space
• [cs.CV]SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space
• [cs.CV]State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
• [cs.CV]Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
• [cs.CV]SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
• [cs.CV]Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
• [cs.CV]Tensor Low-Rank Reconstruction for Semantic Segmentation
• [cs.CV]TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
• [cs.CV]The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
• [cs.CV]The pursuit of beauty: Converting image labels to meaningful vectors
• [cs.CV]Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
• [cs.CV]Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
• [cs.CV]Unsupervised Deep Cross-modality Spectral Hashing
• [cs.CV]Video Super-Resolution with Recurrent Structure-Detail Network
• [cs.CV]White-Box Evaluation of Fingerprint Recognition Systems
• [cs.CY]Análisis jurídico de la discriminación algorítmica en los procesos de selección laboral
• [cs.CY]COVID-19 Misinformation and Disinformation on Social Networks — The Limits of Veritistic Countermeasures
• [cs.CY]DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
• [cs.CY]Device to Remotely Track and Locate the Position of a Child for Safety
• [cs.CY]From Data to Knowledge to Action: A Global Enabler for the 21st Century
• [cs.CY]From Data to Knowledge to Action: Enabling the Smart Grid
• [cs.CY]Opportunities and Challenges for Next Generation Computing
• [cs.CY]Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
• [cs.CY]Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation
• [cs.CY]Towards a Semantic Model of the GDPR Register of Processing Activities
• [cs.CY]Trawling for Trolling: A Dataset
• [cs.CY]Western ideological homogeneity in entrepreneurial finance research: Evidence from highly cited publications
• [cs.DC]A Survey on the Evolution of Stream Processing Systems
• [cs.DC]A Unifying Framework for Parallel and Distributed Processing in R using Futures
• [cs.DC]Data Oblivious Algorithms for Multicores
• [cs.DC]Distributed Dispatching in the Parallel Server Model
• [cs.DC]Distributed Localization of Wireless Sensor Network Using Communication Wheel
• [cs.DC]Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
• [cs.DC]Fluid Composition of Intermittent IoT Energy Services
• [cs.DC]Hardware locality-aware partitioning and dynamic load-balancing of unstructured meshes for large-scale scientific applications
• [cs.DC]Memory Optimal Dispersion by Anonymous Mobile Robots
• [cs.DC]Process of Efficiently Parallelizing a Protein Structure Determination Algorithm
• [cs.DC]Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment
• [cs.DC]The Splay-List: A Distribution-Adaptive Concurrent Skip-List
• [cs.DL]MementoEmbed and Raintale for Web Archive Storytelling
• [cs.DL]SHARI — An Integration of Tools to Visualize the Story of the Day
• [cs.DM]On extremal leaf status and internal status of trees
• [cs.ET]Spiking neuromophic chip learns entangled quantum states
• [cs.HC]Vision and Inertial Sensing Fusion for Human Action Recognition : A Review
• [cs.IR]An Empirical Study of Clarifying Question-Based Systems
• [cs.IR]Attribute-aware Diversification for Sequential Recommendations
• [cs.IR]Contextual Document Similarity for Content-based Literature Recommender Systems
• [cs.IR]Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
• [cs.IT]A Combinatorial Design for Cascaded Coded Distributed Computing on General Networks
• [cs.IT]A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems
• [cs.IT]Achieving Covertness and Secrecy: A New Paradigm for Secure Wireless Communication
• [cs.IT]Age of Information-Reliability Trade-offs in Energy Harvesting Sensor Networks
• [cs.IT]Analysis and Optimization of Cache-Enabled Networks with Random DTX Scheme
• [cs.IT]Anchor-Assisted Intelligent Reflecting Surface Channel Estimation for Multiuser Communications
• [cs.IT]Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication
• [cs.IT]Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
• [cs.IT]Failure Probability Analysis for Partial Extraction from Invertible Bloom Filters
• [cs.IT]Near MDS codes from oval polynomials
• [cs.IT]New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems
• [cs.IT]Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems
• [cs.IT]The Subfield Codes of $[q+1, 2, q]$ MDS Codes
• [cs.LG]A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution
• [cs.LG]A Foliated View of Transfer Learning
• [cs.LG]An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks
• [cs.LG]Analysis of SGD with Biased Gradient Estimators
• [cs.LG]Bayesian Optimization for Selecting Efficient Machine Learning Models
• [cs.LG]Bringing UMAP Closer to the Speed of Light with GPU Acceleration
• [cs.LG]Class-Oriented Poisoning Attack
• [cs.LG]Classification from Ambiguity Comparisons
• [cs.LG]Collaborative Learning as an Agreement Problem
• [cs.LG]Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
• [cs.LG]Curriculum Learning with a Progression Function
• [cs.LG]DeLighT: Very Deep and Light-weight Transformer
• [cs.LG]Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
• [cs.LG]Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks
• [cs.LG]Differentiable Feature Aggregation Search for Knowledge Distillation
• [cs.LG]Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
• [cs.LG]Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics
• [cs.LG]Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
• [cs.LG]F*: An Interpretable Transformation of the F-measure
• [cs.LG]High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands
• [cs.LG]Implicit Regularization in Deep Learning: A View from Function Space
• [cs.LG]Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
• [cs.LG]Interpretable Sequence Learning for COVID-19 Forecasting
• [cs.LG]IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
• [cs.LG]Learning from Mixtures of Private and Public Populations
• [cs.LG]Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
• [cs.LG]Low-loss connection of weight vectors: distribution-based approaches
• [cs.LG]Multi-node Bert-pretraining: Cost-efficient Approach
• [cs.LG]Multiple Descent: Design Your Own Generalization Curve
• [cs.LG]Nearest Empirical Distribution: An Asymptotically Optimal Algorithm For Supervised Classification of Data Vectors with Independent Non-Identically Distributed Elements
• [cs.LG]Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks
• [cs.LG]Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
• [cs.LG]Predicting What You Already Know Helps: Provable Self-Supervised Learning
• [cs.LG]Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
• [cs.LG]Proximal Deterministic Policy Gradient
• [cs.LG]Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs
• [cs.LG]QPLEX: Duplex Dueling Multi-Agent Q-Learning
• [cs.LG]Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
• [cs.LG]Shape Adaptor: A Learnable Resizing Module
• [cs.LG]Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
• [cs.LG]Tensorizing GAN with High-Order Pooling for Alzheimer’s Disease Assessment
• [cs.LG]Tracking the Race Between Deep Reinforcement Learning and Imitation Learning — Extended Version
• [cs.LG]Vulnerability Under Adversarial Machine Learning: Bias or Variance?
• [cs.NE]Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization
• [cs.NE]Neural Architecture Search in Graph Neural Networks
• [cs.NI]Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems
• [cs.NI]Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control
• [cs.NI]Learning Based Methods for Traffic Matrix Estimation from Link Measurements
• [cs.NI]Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
• [cs.NI]Online Task Scheduling for Fog Computing with Multi-Resource Fairness
• [cs.NI]Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective
• [cs.NI]The Need for Advanced Intelligence in NFV Management and Orchestration
• [cs.PF]A Learned Performance Model for the Tensor Processing Unit
• [cs.RO]An Electrocommunication System Using FSK Modulation and Deep Learning Based Demodulation for Underwater Robots
• [cs.RO]BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
• [cs.RO]Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps
• [cs.RO]Characterization of Assistive Robot Arm Teleoperation: A Preliminary Study to Inform Shared Control
• [cs.RO]Compliant Manipulation of Free-Floating Objects
• [cs.RO]Cooperative Control of Mobile Robots with Stackelberg Learning
• [cs.RO]Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments
• [cs.RO]Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization
• [cs.RO]GP-SLAM+: real-time 3D lidar SLAM based on improved regionalized Gaussian process map reconstruction
• [cs.RO]Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration
• [cs.RO]Heterogeneous Swarms for Maritime Dynamic Target Search and Tracking
• [cs.RO]Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
• [cs.RO]Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions
• [cs.RO]Interactive Imitation Learning in State-Space
• [cs.RO]IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing
• [cs.RO]Learning Agile Locomotion via Adversarial Training
• [cs.RO]Learning to Drive Small Scale Cars from Scratch
• [cs.RO]LiDAR point-cloud processing based on projection methods: a comparison
• [cs.RO]Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles
• [cs.RO]Planning to Score a Goal in Robotic Football with Heuristic Search
• [cs.RO]Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments
• [cs.RO]Solving Cosserat Rod Models via Collocation and the Magnus Expansion
• [cs.RO]Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations
• [cs.RO]Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
• [cs.RO]Variational Filtering with Copula Models for SLAM
• [cs.RO]Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller
• [cs.SD]audioLIME: Listenable Explanations Using Source Separation
• [cs.SE]Inter-Coder Agreement for Improving Reliability in Software Engineering Qualitative Research
• [cs.SI]A Visual Analytics Framework for Contrastive Network Analysis
• [cs.SI]A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
• [cs.SI]Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
• [cs.SI]Community membership consistency in corporate board interlock networks
• [cs.SI]Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic
• [cs.SI]Independent publishers and social networks in the 21st century: the balance of power in the transatlantic Spanish-language book market
• [cs.SI]Interest Clustering Coefficient: a New Metric for Directed Networks like Twitter
• [cs.SI]Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19
• [cs.SI]Learning-based link prediction analysis for Facebook100 network
• [cs.SI]Mitigating the Backfire Effect Using Pacing and Leading
• [cs.SI]Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data
• [econ.EM]Design-Based Uncertainty for Quasi-Experiments
• [econ.EM]Estimating TVP-VAR models with time invariant long-run multipliers
• [econ.EM]Simpler Proofs for Approximate Factor Models of Large Dimensions
• [econ.EM]Testing error distribution by kernelized Stein discrepancy in multivariate time series models
• [econ.EM]What can we learn about SARS-CoV-2 prevalence from testing and hospital data?
• [econ.GN]Male Earnings Volatility in LEHD before, during, and after the Great Recession
• [eess.AS]An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances
• [eess.AS]Audiovisual Speech Synthesis using Tacotron2
• [eess.AS]Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages
• [eess.AS]Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation
• [eess.AS]Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech
• [eess.AS]Multitask learning for instrument activation aware music source separation
• [eess.AS]Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting
• [eess.AS]One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
• [eess.AS]Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
• [eess.AS]Score-informed Networks for Music Performance Assessment
• [eess.AS]Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
• [eess.AS]Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
• [eess.IV]Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network
• [eess.IV]Diabetic Retinopathy Diagnosis based on Convolutional Neural Network
• [eess.IV]Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution
• [eess.IV]Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
• [eess.IV]Multi-Scale Deep Compressive Imaging
• [eess.IV]Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
• [eess.IV]Regularization by Denoising via Fixed-Point Projection (RED-PRO)
• [eess.IV]The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
• [eess.SY]Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods
• [math.CO]Generalized Cut Polytopes for Binary Hierarchical Models
• [math.CO]Superregular matrices over small finite fields
• [math.DS]On Frink’s type metrization of weighted graphs
• [math.FA]Phase Transitions in Rate Distortion Theory and Deep Learning
• [math.OC]Review on Ranking and Selection: A New Perspective
• [math.ST]A New Class of Multivariate Elliptically Contoured Distributions with Inconsistency Property
• [math.ST]Gibbs sampler and coordinate ascent variational inference: a set-theoretical review
• [math.ST]On Bayesian Estimation of Densities and Sampling Distributions: the Posterior Predictive Distribution as the Bayes Estimator
• [math.ST]On Dantzig and Lasso estimators of the drift in a high dimensional Ornstein-Uhlenbeck model
• [math.ST]Posterior Impropriety of some Sparse Bayesian Learning Models
• [physics.comp-ph]DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
• [physics.soc-ph]Effective Self-Healing Networks against Attacks or Disasters in Resource Allocation Control
• [q-bio.NC]Neural Network Degeneration and its Relationship to the Brain
• [quant-ph]Order from chaos in quantum walks on cyclic graphs
• [quant-ph]Quantum versus Classical Generative Modelling in Finance
• [stat.AP]Analysis of Prescription Drug Utilization with Beta Regression Models
• [stat.AP]Application of Bayesian Dynamic Linear Models to Random Allocation Clinical Trials
• [stat.AP]Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
• [stat.AP]Combining Breast Cancer Risk Prediction Models
• [stat.AP]Fixing Bias in Zipf’s Law Estimators Using Approximate Bayesian Computation
• [stat.AP]Markovian And Non-Markovian Processes with Active Decision Making Strategies For Addressing The COVID-19 Epidemic
• [stat.AP]Modeling of Lifeline Infrastructure Restoration Using Empirical Quantitative Data
• [stat.AP]On unified framework for continuous-time grey models: an integral matching perspective
• [stat.AP]Spatiotemporal Analysis of Ridesourcing and Taxi Demand by Taxi zones in New York City
• [stat.AP]Vector quantisation and partitioning of COVID-19 temporal dynamics in the United States
• [stat.ME]A Bayesian Mixture Model for Changepoint Estimation Using Ordinal Predictors
• [stat.ME]A Stochastic EM Algorithm for Cure Rate Model with Negative Binomial Competing Risks and Non-homogeneous Lifetime
• [stat.ME]A monotonicity property of weighted log-rank tests
• [stat.ME]Bayesian model averaging for analysis of lattice field theory results
• [stat.ME]Conditional As-If Analyses in Randomized Experiments
• [stat.ME]Dirichlet-tree multinomial mixtures for clustering microbiome compositions
• [stat.ME]Double-robust and efficient methods for estimating the causal effects of a binary treatment
• [stat.ME]Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
• [stat.ME]Heterogeneous Treatment and Spillover Effects under Clustered Network Interference
• [stat.ME]Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
• [stat.ME]Partial identification and dependence-robust confidence intervals for capture-recapture surveys
• [stat.ME]Robust Experimental Designs for Model Calibration
• [stat.ME]Robust optimal estimation of the mean function from discretely sampled functional data
• [stat.ME]Sparse Network Modeling
• [stat.ME]The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
• [stat.ME]Two-sample Testing on Latent Distance Graphs With Unknown Link Functions
• [stat.ME]Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome
• [stat.ML]Cold Posteriors and Aleatoric Uncertainty
• [stat.ML]Convergence of Sparse Variational Inference in Gaussian Processes Regression
• [stat.ML]Geometrically Enriched Latent Spaces
• [stat.ML]Rule-based Bayesian regression
• [stat.OT]A fresh look at introductory data science
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• [cond-mat.str-el]Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo
http://arxiv.org/abs/2008.00118v1
• [cs.AI]Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations
Jonathan Pan
http://arxiv.org/abs/2008.00408v1
• [cs.AI]Cluster-Based Information Retrieval by using (K-means)- Hierarchical Parallel Genetic Algorithms Approach
Sarah Hussein Toman, Mohammed Hamzah Abed, Zinah Hussein Toman
http://arxiv.org/abs/2008.00150v1
• [cs.AI]Ergodic Annealing
Carlo Baldassi, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini
http://arxiv.org/abs/2008.00234v1
• [cs.AI]On The Plurality of Graphs
Nicole Fitzgerald, Jacopo Tagliabue
http://arxiv.org/abs/2008.00920v1
• [cs.AI]State-of-the-art Techniques in Deep Edge Intelligence
Ahnaf Hannan Lodhi, Barış Akgün, Öznur Özkasap
http://arxiv.org/abs/2008.00824v1
• [cs.AI]Statistical Inference of Minimally Complex Models
Clélia de Mulatier, Paolo P. Mazza, Matteo Marsili
http://arxiv.org/abs/2008.00520v1
• [cs.AI]Structural Causal Models Are (Solvable by) Credal Networks
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
http://arxiv.org/abs/2008.00463v1
• [cs.AI]The Tactician (extended version): A Seamless, Interactive Tactic Learner and Prover for Coq
Lasse Blaauwbroek, Josef Urban, Herman Geuvers
http://arxiv.org/abs/2008.00120v1
• [cs.AI]V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach
Haoran Su, Kejian Shi, Li Jin, Joseph Y. J. Chow
http://arxiv.org/abs/2008.00335v1
• [cs.AR]Custom Tailored Suite of Random Forests for Prefetcher Adaptation
Furkan Eris, Sadullah Canakci, Cansu Demirkiran, Ajay Joshi
http://arxiv.org/abs/2008.00176v1
• [cs.CE]Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Yixiang Deng, Guang Lin, Xiu Yang
http://arxiv.org/abs/2008.01066v1
• [cs.CL]A Text Classification Survey: From Shallow to Deep Learning
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
http://arxiv.org/abs/2008.00364v1
• [cs.CL]Cross-context News Corpus for Protest Events related Knowledge Base Construction
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret, Osman Mutlu, Çağrı Yoltar, Fırat Duruşan, Burak Gürel
http://arxiv.org/abs/2008.00351v1
• [cs.CL]Deep Learning based Topic Analysis on Financial Emerging Event Tweets
Shaan Aryaman, Nguwi Yok Yen
http://arxiv.org/abs/2008.00670v1
• [cs.CL]Elsevier OA CC-By Corpus
Daniel Kershaw, Rob Koeling
http://arxiv.org/abs/2008.00774v1
• [cs.CL]Extracting actionable information from microtexts
Ali Hürriyetoğlu
http://arxiv.org/abs/2008.00343v1
• [cs.CL]Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments
Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki, Sami Kobilov
http://arxiv.org/abs/2008.00482v1
• [cs.CL]LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann
http://arxiv.org/abs/2008.00805v1
• [cs.CL]Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan
http://arxiv.org/abs/2008.00401v1
• [cs.CL]OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych
http://arxiv.org/abs/2008.00853v1
• [cs.CL]Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret, Çağrı Yoltar, Burak Gürel, Fırat Duruşan, Osman Mutlu, Arda Akdemir
http://arxiv.org/abs/2008.00345v1
• [cs.CL]Relation Extraction with Self-determined Graph Convolutional Network
Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy
http://arxiv.org/abs/2008.00441v1
• [cs.CL]SemEval-2020 Task 5: Counterfactual Recognition
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
http://arxiv.org/abs/2008.00563v1
• [cs.CL]SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
Nabil Hossain, John Krumm, Michael Gamon, Henry Kautz
http://arxiv.org/abs/2008.00304v1
• [cs.CL]The test set for the TransCoder system
Ernest Davis
http://arxiv.org/abs/2008.00293v1
• [cs.CL]Video Question Answering on Screencast Tutorials
Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin
http://arxiv.org/abs/2008.00544v1
• [cs.CR]BatNet: Data transmission between smartphones over ultrasound
Almos Zarandy, Ilia Shumailov, Ross Anderson
http://arxiv.org/abs/2008.00136v1
• [cs.CR]SCNet: A Neural Network for Automated Side-Channel Attack
Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang
http://arxiv.org/abs/2008.00476v1
• [cs.CR]Trojaning Language Models for Fun and Profit
Xinyang Zhang, Zheng Zhang, Ting Wang
http://arxiv.org/abs/2008.00312v1
• [cs.CV]AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo
http://arxiv.org/abs/2008.00714v1
• [cs.CV]AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalim Keles
http://arxiv.org/abs/2008.00932v1
• [cs.CV]Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga
http://arxiv.org/abs/2008.00302v1
• [cs.CV]Active Object Search
Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin
http://arxiv.org/abs/2008.00923v1
• [cs.CV]Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yipeng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Oscar Su, Chenliang Xu
http://arxiv.org/abs/2008.00141v1
• [cs.CV]Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin
http://arxiv.org/abs/2008.00859v1
• [cs.CV]Adversarial Semantic Data Augmentation for Human Pose Estimation
Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang
http://arxiv.org/abs/2008.00697v1
• [cs.CV]An Explainable Machine Learning Model for Early Detection of Parkinson’s Disease using LIME on DaTscan Imagery
Pavan Rajkumar Magesh, Richard Delwin Myloth, Rijo Jackson Tom
http://arxiv.org/abs/2008.00238v1
• [cs.CV]An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
Matteo Dunnhofer, Niki Martinel, Christian Micheloni
http://arxiv.org/abs/2008.00992v1
• [cs.CV]Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation
Zili Yi, Qiang Tang, Vishnu Sanjay Ramiya Srinivasan, Zhan Xu
http://arxiv.org/abs/2008.00362v1
• [cs.CV]Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann
http://arxiv.org/abs/2008.00698v1
• [cs.CV]Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu
http://arxiv.org/abs/2008.00188v1
• [cs.CV]Blind Face Restoration via Deep Multi-scale Component Dictionaries
Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang
http://arxiv.org/abs/2008.00418v1
• [cs.CV]Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain
Sadegh Etemad, Maryam Amirmazlaghani
http://arxiv.org/abs/2008.00910v1
• [cs.CV]Contrastive Explanations in Neural Networks
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
http://arxiv.org/abs/2008.00178v1
• [cs.CV]DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
Cong Wang, Xiaoying Xing, Zhixun Su, Junyang Chen
http://arxiv.org/abs/2008.00767v1
• [cs.CV]Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li
http://arxiv.org/abs/2008.00710v1
• [cs.CV]Deep Photo Cropper and Enhancer
Aaron Ott, Amir Mazaheri, Niels D. Lobo, Mubarak Shah
http://arxiv.org/abs/2008.00634v1
• [cs.CV]Distilling Visual Priors from Self-Supervised Learning
Bingchen Zhao, Xin Wen
http://arxiv.org/abs/2008.00261v1
• [cs.CV]Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo
http://arxiv.org/abs/2008.00777v1
• [cs.CV]Efficient Adversarial Attacks for Visual Object Tracking
Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao
http://arxiv.org/abs/2008.00217v1
• [cs.CV]Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan
http://arxiv.org/abs/2008.00542v1
• [cs.CV]Eigen-CAM: Class Activation Map using Principal Components
Mohammed Bany Muhammad, Mohammed Yeasin
http://arxiv.org/abs/2008.00299v1
• [cs.CV]Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or
http://arxiv.org/abs/2008.00951v1
• [cs.CV]Explainable Face Recognition
Jonathan R. Williford, Brandon B. May, Jeffrey Byrne
http://arxiv.org/abs/2008.00916v1
• [cs.CV]Frame-To-Frame Consistent Semantic Segmentation
Manuel Rebol, Patrick Knöbelreiter
http://arxiv.org/abs/2008.00948v1
• [cs.CV]From Design Draft to Real Attire: Unaligned Fashion Image Translation
Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu
http://arxiv.org/abs/2008.01023v1
• [cs.CV]From Shadow Segmentation to Shadow Removal
Hieu Le, Dimitris Samaras
http://arxiv.org/abs/2008.00267v1
• [cs.CV]Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
Gaurav Kumar Nayak, Saksham Jain, R Venkatesh Babu, Anirban Chakraborty
http://arxiv.org/abs/2008.00878v1
• [cs.CV]GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian
Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin
http://arxiv.org/abs/2008.00752v1
• [cs.CV]HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu
http://arxiv.org/abs/2008.00206v1
• [cs.CV]HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion
Zhicheng Cao, Xi Cen, Liaojun Pang
http://arxiv.org/abs/2008.00498v1
• [cs.CV]Improving One-stage Visual Grounding by Recursive Sub-query Construction
Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo
http://arxiv.org/abs/2008.01059v1
• [cs.CV]Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features
Zeshi Yang, Kangkang Yin
http://arxiv.org/abs/2008.00324v1
• [cs.CV]Integrated monitoring of ice in selected Swiss lakes. Final project report
Manu Tom, Melanie Suetterlin, Damien Bouffard, Mathias Rothermel, Stefan Wunderle, Emmanuel Baltsavias
http://arxiv.org/abs/2008.00512v1
• [cs.CV]L-CNN: A Lattice cross-fusion strategy for multistream convolutional neural networks
Ana Paula G. S. de Almeida, Flavio de Barros Vidal
http://arxiv.org/abs/2008.00157v1
• [cs.CV]LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng
http://arxiv.org/abs/2008.00836v1
• [cs.CV]Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Rui Li, Shunyi Zheng, Chenxi Duan
http://arxiv.org/abs/2008.00168v1
• [cs.CV]Learning to Purify Noisy Labels via Meta Soft Label Corrector
Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng
http://arxiv.org/abs/2008.00627v1
• [cs.CV]Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Satyananda Kashyap, Alexandros Karargyris, Joy Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer Syeda-Mahmood
http://arxiv.org/abs/2008.00363v1
• [cs.CV]Mask Point R-CNN
Wenchao Zhang, Chong Fu, Mai Zhu
http://arxiv.org/abs/2008.00460v1
• [cs.CV]Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han, Weidi Xie, Andrew Zisserman
http://arxiv.org/abs/2008.01065v1
• [cs.CV]Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Atmadeep Banerjee
http://arxiv.org/abs/2008.00247v1
• [cs.CV]PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
Aditya Agarwal, Yupeng Han, Maxim Likhachev
http://arxiv.org/abs/2008.00326v1
• [cs.CV]PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition
Yuheng Lu, Fan Yang, Fangping Chen, Don Xie
http://arxiv.org/abs/2008.00658v1
• [cs.CV]PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
Xia Chen, Jianren Wang, Martial Hebert
http://arxiv.org/abs/2008.00192v1
• [cs.CV]Point Cloud Completion by Learning Shape Priors
Xiaogang Wang, Marcelo H Ang Jr, Gim Hee Lee
http://arxiv.org/abs/2008.00394v1
• [cs.CV]Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Adrian Lopez-Rodriguez, Benjamin Busam, Krystian Mikolajczyk
http://arxiv.org/abs/2008.01034v1
• [cs.CV]RGB-D Salient Object Detection: A Survey
Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao
http://arxiv.org/abs/2008.00230v1
• [cs.CV]RareAct: A video dataset of unusual interactions
Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman
http://arxiv.org/abs/2008.01018v1
• [cs.CV]Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu, Fengting Li, Bihan Wen, Qi Li
http://arxiv.org/abs/2008.00407v1
• [cs.CV]Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition
Jiawei Chen, Jenson Hsiao, Chiu Man Ho
http://arxiv.org/abs/2008.01057v1
• [cs.CV]Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng
http://arxiv.org/abs/2008.00823v1
• [cs.CV]Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang
http://arxiv.org/abs/2008.00610v1
• [cs.CV]SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei
http://arxiv.org/abs/2008.00975v1
• [cs.CV]Segmenting overlapped objects in images. A study to support the diagnosis of sickle cell disease
Miquel Miró-Nicolau, Biel Moyà-Alcover, Manuel González-Hidalgo, Antoni Jaume-i-Capó
http://arxiv.org/abs/2008.00997v1
• [cs.CV]Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed, Tianxing Jiang, Quintessa Qiao, Nayun Xu, Vladimir G. Kim
http://arxiv.org/abs/2008.00305v1
• [cs.CV]Self-supervised Object Tracking with Cycle-consistent Siamese Networks
Weihao Yuan, Michael Yu Wang, Qifeng Chen
http://arxiv.org/abs/2008.00637v1
• [cs.CV]Self-supervised Visual Attribute Learning for Fashion Compatibility
Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A Plummer
http://arxiv.org/abs/2008.00348v1
• [cs.CV]Semi-supervised deep learning based on label propagation in a 2D embedded space
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão
http://arxiv.org/abs/2008.00558v1
• [cs.CV]SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space
Liu Yang, Fanqi Meng, Ming-Kuang Daniel Wu, Vicent Ying, Xianchao Xu
http://arxiv.org/abs/2008.00397v1
• [cs.CV]State-of-The-Art Fuzzy Active Contour Models for Image Segmentation
Ajoy Mondal, Kuntal Ghosh
http://arxiv.org/abs/2008.00175v1
• [cs.CV]Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan
http://arxiv.org/abs/2008.00446v1
• [cs.CV]SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
Yifei Shi, Junwen Huang, Hongjia Zhang, Xin Xu, Szymon Rusinkiewicz, Kai Xu
http://arxiv.org/abs/2008.00485v1
• [cs.CV]Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
Mariana-Iuliana Georgescu, Radu Tudor Ionescu
http://arxiv.org/abs/2008.01003v1
• [cs.CV]Tensor Low-Rank Reconstruction for Semantic Segmentation
Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu
http://arxiv.org/abs/2008.00490v1
• [cs.CV]TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo
http://arxiv.org/abs/2008.00158v1
• [cs.CV]The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao
http://arxiv.org/abs/2008.00744v1
• [cs.CV]The pursuit of beauty: Converting image labels to meaningful vectors
Savvas Karatsiolis, Andreas Kamilaris
http://arxiv.org/abs/2008.00665v1
• [cs.CV]Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
Wentao Bao, Qi Yu, Yu Kong
http://arxiv.org/abs/2008.00334v1
• [cs.CV]Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong
http://arxiv.org/abs/2008.01068v1
• [cs.CV]Unsupervised Deep Cross-modality Spectral Hashing
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
http://arxiv.org/abs/2008.00223v1
• [cs.CV]Video Super-Resolution with Recurrent Structure-Detail Network
Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian
http://arxiv.org/abs/2008.00455v1
• [cs.CV]White-Box Evaluation of Fingerprint Recognition Systems
Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain
http://arxiv.org/abs/2008.00128v1
• [cs.CY]Análisis jurídico de la discriminación algorítmica en los procesos de selección laboral
Andrés Páez, Natalia Ramírez-Bustamante
http://arxiv.org/abs/2008.00371v1
• [cs.CY]COVID-19 Misinformation and Disinformation on Social Networks — The Limits of Veritistic Countermeasures
Andrew Buzzell
http://arxiv.org/abs/2008.00784v1
• [cs.CY]DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
Ankit Ramchandani, Chao Fan, Ali Mostafavi
http://arxiv.org/abs/2008.00115v1
• [cs.CY]Device to Remotely Track and Locate the Position of a Child for Safety
S. M. K. C. S. B. Egodawela, H. M. D. M. B. Herath, R. D. Ranaweera, J. V. Wijayakulasooriya
http://arxiv.org/abs/2008.00211v1
• [cs.CY]From Data to Knowledge to Action: A Global Enabler for the 21st Century
Eric Horvitz, Tom Mitchell
http://arxiv.org/abs/2008.00045v1
• [cs.CY]From Data to Knowledge to Action: Enabling the Smart Grid
Randal E. Bryant, Randy H. Katz, Chase Hensel, Erwin P. Gianchandani
http://arxiv.org/abs/2008.00055v1
• [cs.CY]Opportunities and Challenges for Next Generation Computing
Gregory D. Hager, Mark D. Hill, Katherine Yelick
http://arxiv.org/abs/2008.00023v1
• [cs.CY]Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things
Kevin Fu, Tadayoshi Kohno, Daniel Lopresti, Elizabeth Mynatt, Klara Nahrstedt, Shwetak Patel, Debra Richardson, Ben Zorn
http://arxiv.org/abs/2008.00017v1
• [cs.CY]Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation
Yusuke Kumakoshi, Sau Yee Chan, Hideki Koizumi, Xiaojiang Li, Yuji Yoshimura
http://arxiv.org/abs/2008.00229v1
• [cs.CY]Towards a Semantic Model of the GDPR Register of Processing Activities
Paul Ryan, Harshvardhan J. Pandit, Rob Brennan
http://arxiv.org/abs/2008.00877v1
• [cs.CY]Trawling for Trolling: A Dataset
Hitkul, Karmanya Aggarwal, Pakhi Bamdev, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru
http://arxiv.org/abs/2008.00525v1
• [cs.CY]Western ideological homogeneity in entrepreneurial finance research: Evidence from highly cited publications
Minh-Hoang Nguyen, Huyen Thanh T. Nguyen, Thanh-Hang Pham, Manh-Toan Ho, Quan-Hoang Vuong
http://arxiv.org/abs/2008.00016v1
• [cs.DC]A Survey on the Evolution of Stream Processing Systems
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
http://arxiv.org/abs/2008.00842v1
• [cs.DC]A Unifying Framework for Parallel and Distributed Processing in R using Futures
Henrik Bengtsson
http://arxiv.org/abs/2008.00553v1
• [cs.DC]Data Oblivious Algorithms for Multicores
Vijaya Ramachandran, Elaine Shi
http://arxiv.org/abs/2008.00332v1
• [cs.DC]Distributed Dispatching in the Parallel Server Model
Guy Goren, Shay Vargaftik, Yoram Moses
http://arxiv.org/abs/2008.00793v1
• [cs.DC]Distributed Localization of Wireless Sensor Network Using Communication Wheel
Kaustav Bose, Manash Kumar Kundu, Ranendu Adhikary, Buddhadeb Sau
http://arxiv.org/abs/2008.00739v1
• [cs.DC]Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
Juhyun Bae, Ling Liu, Gong Su, Arun Iyengar, Yanzhao Wu
http://arxiv.org/abs/2008.00902v1
• [cs.DC]Fluid Composition of Intermittent IoT Energy Services
Abdallah Lakhdari, Athman Bouguettaya
http://arxiv.org/abs/2008.00787v1
• [cs.DC]Hardware locality-aware partitioning and dynamic load-balancing of unstructured meshes for large-scale scientific applications
Pavanakumar Mohanamuraly, Gabriel Staffelbach
http://arxiv.org/abs/2008.00832v1
• [cs.DC]Memory Optimal Dispersion by Anonymous Mobile Robots
Archak Das, Kaustav Bose, Buddhadeb Sau
http://arxiv.org/abs/2008.00701v1
• [cs.DC]Process of Efficiently Parallelizing a Protein Structure Determination Algorithm
Michael Bryson, Xijiang Miao, Homayoun Valafar
http://arxiv.org/abs/2008.00018v1
• [cs.DC]Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment
Andrew Weinert, Ngaire Underhill, Bilal Gill, Ashley Wicks
http://arxiv.org/abs/2008.00861v1
• [cs.DC]The Splay-List: A Distribution-Adaptive Concurrent Skip-List
Vitaly Aksenov, Dan Alistarh, Alexandra Drozdova, Amirkeivan Mohtashami
http://arxiv.org/abs/2008.01009v1
• [cs.DL]MementoEmbed and Raintale for Web Archive Storytelling
Shawn M. Jones, Martin Klein, Michele C. Weigle, Michael L. Nelson
http://arxiv.org/abs/2008.00137v1
• [cs.DL]SHARI — An Integration of Tools to Visualize the Story of the Day
Shawn M. Jones, Alexander C. Nwala, Martin Klein, Michele C. Weigle, Michael L. Nelson
http://arxiv.org/abs/2008.00139v1
• [cs.DM]On extremal leaf status and internal status of trees
Haiyan Guo, Bo Zhou
http://arxiv.org/abs/2008.00438v1
• [cs.ET]Spiking neuromophic chip learns entangled quantum states
Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
http://arxiv.org/abs/2008.01039v1
• [cs.HC]Vision and Inertial Sensing Fusion for Human Action Recognition : A Review
Sharmin Majumder, Nasser Kehtarnavaz
http://arxiv.org/abs/2008.00380v1
• [cs.IR]An Empirical Study of Clarifying Question-Based Systems
Jie Zou, Evangelos Kanoulas, Yiqun Liu
http://arxiv.org/abs/2008.00279v1
• [cs.IR]Attribute-aware Diversification for Sequential Recommendations
Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, Maarten de Rijke
http://arxiv.org/abs/2008.00783v1
• [cs.IR]Contextual Document Similarity for Content-based Literature Recommender Systems
Malte Ostendorff
http://arxiv.org/abs/2008.00202v1
• [cs.IR]Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
Daniel Lee, Rakesh Verma, Avisha Das, Arjun Mukherjee
http://arxiv.org/abs/2008.00140v1
• [cs.IT]A Combinatorial Design for Cascaded Coded Distributed Computing on General Networks
Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/2008.00581v1
• [cs.IT]A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems
Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief
http://arxiv.org/abs/2008.00769v1
• [cs.IT]Achieving Covertness and Secrecy: A New Paradigm for Secure Wireless Communication
Huihui Wu, Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Weidong Yang
http://arxiv.org/abs/2008.00147v1
• [cs.IT]Age of Information-Reliability Trade-offs in Energy Harvesting Sensor Networks
Navid Nouri, Darya Ardan, Mahmood Mohassel Feghhi
http://arxiv.org/abs/2008.00987v1
• [cs.IT]Analysis and Optimization of Cache-Enabled Networks with Random DTX Scheme
Le Yang, Fu-Chun Zheng, Yi Zhong, Shi Jin
http://arxiv.org/abs/2008.00248v1
• [cs.IT]Anchor-Assisted Intelligent Reflecting Surface Channel Estimation for Multiuser Communications
Xinrong Guan, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/2008.00622v1
• [cs.IT]Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication
Hong Shen, Tian Ding, Wei Xu, Chunming Zhao
http://arxiv.org/abs/2008.00448v1
• [cs.IT]Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
Ruichen Jiang, Sheng Zhou
http://arxiv.org/abs/2008.00994v1
• [cs.IT]Failure Probability Analysis for Partial Extraction from Invertible Bloom Filters
Ivo Kubjas, Vitaly Skachek
http://arxiv.org/abs/2008.00879v1
• [cs.IT]Near MDS codes from oval polynomials
Qiuyan Wang, Ziling Heng
http://arxiv.org/abs/2008.00663v1
• [cs.IT]New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems
Tao Guo, Ruida Zhou, Chao Tian
http://arxiv.org/abs/2008.00960v1
• [cs.IT]Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems
Qin Tao, Junwei Wang, Caijun Zhong
http://arxiv.org/abs/2008.00189v1
• [cs.IT]The Subfield Codes of $[q+1, 2, q]$ MDS Codes**
Ziling Heng, Cunsheng Ding
http://arxiv.org/abs/2008.00695v1
• [cs.LG]A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution
Aria Khademi, Vasant Honavar
http://arxiv.org/abs/2008.00357v1
• [cs.LG]A Foliated View of Transfer Learning
Janith Petangoda, Nick A. M. Monk, Marc Peter Deisenroth
http://arxiv.org/abs/2008.00546v1
• [cs.LG]An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks
Aaron Hein, Casey Cole, Homayoun Valafar
http://arxiv.org/abs/2008.00539v1
• [cs.LG]Analysis of SGD with Biased Gradient Estimators
Ahmad Ajalloeian, Sebastian U. Stich
http://arxiv.org/abs/2008.00051v1
• [cs.LG]Bayesian Optimization for Selecting Efficient Machine Learning Models
Lidan Wang, Franck Dernoncourt, Trung Bui
http://arxiv.org/abs/2008.00386v1
• [cs.LG]Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
http://arxiv.org/abs/2008.00325v1
• [cs.LG]Class-Oriented Poisoning Attack
Bingyin Zhao, Yingjie Lao
http://arxiv.org/abs/2008.00047v1
• [cs.LG]Classification from Ambiguity Comparisons
Zhenghang Cui, Issei Sato
http://arxiv.org/abs/2008.00645v1
• [cs.LG]Collaborative Learning as an Agreement Problem
El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsanyi Guirguis, Lê Nguyên Hoang, Sébastien Rouault
http://arxiv.org/abs/2008.00742v1
• [cs.LG]Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
Etienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
http://arxiv.org/abs/2008.00946v1
• [cs.LG]Curriculum Learning with a Progression Function
Andrea Bassich, Francesco Foglino, Matteo Leonetti, Daniel Kudenko
http://arxiv.org/abs/2008.00511v1
• [cs.LG]DeLighT: Very Deep and Light-weight Transformer
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
http://arxiv.org/abs/2008.00623v1
• [cs.LG]Deep Bayesian Bandits: Exploring in Online Personalized Recommendations
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani
http://arxiv.org/abs/2008.00727v1
• [cs.LG]Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks
Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu
http://arxiv.org/abs/2008.00404v1
• [cs.LG]Differentiable Feature Aggregation Search for Knowledge Distillation
Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang
http://arxiv.org/abs/2008.00506v1
• [cs.LG]Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
Liyao Lu, Qiang Lyu
http://arxiv.org/abs/2008.00682v1
• [cs.LG]Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics
Yanling Chang, Alfredo Garcia, Zhide Wang
http://arxiv.org/abs/2008.00500v1
• [cs.LG]Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin
http://arxiv.org/abs/2008.00614v1
• [cs.LG]**F: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
http://arxiv.org/abs/2008.00103v1
• [cs.LG]High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands
Dibakar Gope, Jesse Beu, Matthew Mattina
http://arxiv.org/abs/2008.00638v1
• [cs.LG]Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien
http://arxiv.org/abs/2008.00938v1
• [cs.LG]Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
Yashesh Dhebar, Kalyanmoy Deb
http://arxiv.org/abs/2008.00410v1
• [cs.LG]Interpretable Sequence Learning for COVID-19 Forecasting
Sercan O. Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
http://arxiv.org/abs/2008.00646v1
• [cs.LG]IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
http://arxiv.org/abs/2008.00760v1
• [cs.LG]Learning from Mixtures of Private and Public Populations
Raef Bassily, Shay Moran, Anupama Nandi
http://arxiv.org/abs/2008.00331v1
• [cs.LG]Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai
http://arxiv.org/abs/2008.00311v1
• [cs.LG]Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin, Dmitry Yarotsky
http://arxiv.org/abs/2008.00741v1
• [cs.LG]Multi-node Bert-pretraining: Cost-efficient Approach
Jiahuang Lin, Xin Li, Gennady Pekhimenko
http://arxiv.org/abs/2008.00177v1
• [cs.LG]Multiple Descent: Design Your Own Generalization Curve
Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi
http://arxiv.org/abs/2008.01036v1
• [cs.LG]Nearest Empirical Distribution: An Asymptotically Optimal Algorithm For Supervised Classification of Data Vectors with Independent Non-Identically Distributed Elements
Farzad Shahrivari, Nikola Zlatanov
http://arxiv.org/abs/2008.00190v1
• [cs.LG]Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks
N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney
http://arxiv.org/abs/2008.00123v1
• [cs.LG]Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier
http://arxiv.org/abs/2008.00104v1
• [cs.LG]Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo
http://arxiv.org/abs/2008.01064v1
• [cs.LG]Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Pablo Montero-Manso, Rob J Hyndman
http://arxiv.org/abs/2008.00444v1
• [cs.LG]Proximal Deterministic Policy Gradient
Marco Maggipinto, Gian Antonio Susto, Pratik Chaudhari
http://arxiv.org/abs/2008.00759v1
• [cs.LG]Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs
Dominik Alfke, Martin Stoll
http://arxiv.org/abs/2008.00720v1
• [cs.LG]QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
http://arxiv.org/abs/2008.01062v1
• [cs.LG]Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li
http://arxiv.org/abs/2008.00181v1
• [cs.LG]Shape Adaptor: A Learnable Resizing Module
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
http://arxiv.org/abs/2008.00892v1
• [cs.LG]Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Zuyue Fu, Zhuoran Yang, Zhaoran Wang
http://arxiv.org/abs/2008.00483v1
• [cs.LG]Tensorizing GAN with High-Order Pooling for Alzheimer’s Disease Assessment
Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang
http://arxiv.org/abs/2008.00748v1
• [cs.LG]Tracking the Race Between Deep Reinforcement Learning and Imitation Learning — Extended Version
Timo P. Gros, Daniel Höller, Jörg Hoffmann, Verena Wolf
http://arxiv.org/abs/2008.00766v1
• [cs.LG]Vulnerability Under Adversarial Machine Learning: Bias or Variance?
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
http://arxiv.org/abs/2008.00138v1
• [cs.NE]Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization
Yu-Jun Zheng, Xin Chen, Tie-Er Gan, Min-Xia Zhang, Wei-Guo Sheng, Ling Wang
http://arxiv.org/abs/2008.00395v1
• [cs.NE]Neural Architecture Search in Graph Neural Networks
Matheus Nunes, Gisele L. Pappa
http://arxiv.org/abs/2008.00077v1
• [cs.NI]Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems
Xin Gao, Xi Huang, Yinxu Tang, Ziyu Shao, Yang Yang
http://arxiv.org/abs/2008.00196v1
• [cs.NI]Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control
Xin Gao, Xi Huang, Ziyu Shao, Yang Yang
http://arxiv.org/abs/2008.00199v1
• [cs.NI]Learning Based Methods for Traffic Matrix Estimation from Link Measurements
Shenghe Xu, Murali Kodialam, T. V. Lakshman, Shivendra Panwar
http://arxiv.org/abs/2008.00905v1
• [cs.NI]Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets
Jeremy Kepner, Chad Meiners, Chansup Byun, Sarah McGuire, Timothy Davis, William Arcand, Jonathan Bernays, David Bestor, William Bergeron, Vijay Gadepally, Raul Harnasch, Matthew Hubbell, Micheal Houle, Micheal Jones, Andrew Kirby, Anna Klein, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Doug Stetson, Adam Tse, Charles Yee, Peter Michaleas
http://arxiv.org/abs/2008.00307v1
• [cs.NI]Online Task Scheduling for Fog Computing with Multi-Resource Fairness
Simeng Bian, Xi Huang, Ziyu Shao
http://arxiv.org/abs/2008.00207v1
• [cs.NI]Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective
Simeng Bian, Xi Huang, Ziyu Shao, Xin Gao, Yang Yang
http://arxiv.org/abs/2008.00208v1
• [cs.NI]The Need for Advanced Intelligence in NFV Management and Orchestration
Dimitrios Michael Manias, Abdallah Shami
http://arxiv.org/abs/2008.00937v1
• [cs.PF]A Learned Performance Model for the Tensor Processing Unit
Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Mike Burrows
http://arxiv.org/abs/2008.01040v1
• [cs.RO]An Electrocommunication System Using FSK Modulation and Deep Learning Based Demodulation for Underwater Robots
Qinghao Wang, Ruijun Liu, Wei Wang, Guangming Xie
http://arxiv.org/abs/2008.00639v1
• [cs.RO]BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf
http://arxiv.org/abs/2008.00635v1
• [cs.RO]Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps
Samuel Bateman, Kyle Harlow, Christoffer Heckman
http://arxiv.org/abs/2008.00372v1
• [cs.RO]Characterization of Assistive Robot Arm Teleoperation: A Preliminary Study to Inform Shared Control
Mahdieh Nejati Javaremi, Brenna D. Argall
http://arxiv.org/abs/2008.00109v1
• [cs.RO]Compliant Manipulation of Free-Floating Objects
Shikha Sharma, Markku Suomalainen, Ville Kyrki
http://arxiv.org/abs/2008.00693v1
• [cs.RO]Cooperative Control of Mobile Robots with Stackelberg Learning
Joewie J. Koh, Guohui Ding, Christoffer Heckman, Lijun Chen, Alessandro Roncone
http://arxiv.org/abs/2008.00679v1
• [cs.RO]Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments
Linh Kästner, Cornelius Marx, Jens Lambrecht
http://arxiv.org/abs/2008.00516v1
• [cs.RO]Dynamic Legged Manipulation of a Ball Through Multi-Contact Optimization
Chenyu Yang, Bike Zhang, Jun Zeng, Ayush Agrawal, Koushil Sreenath
http://arxiv.org/abs/2008.00191v1
• [cs.RO]GP-SLAM+: real-time 3D lidar SLAM based on improved regionalized Gaussian process map reconstruction
Jianyuan Ruan, Bo Li, Yinqiang Wang, Zhou Fang
http://arxiv.org/abs/2008.00644v1
• [cs.RO]Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration
Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh
http://arxiv.org/abs/2008.00699v1
• [cs.RO]Heterogeneous Swarms for Maritime Dynamic Target Search and Tracking
Hian Lee Kwa, Grgur Tokić, Roland Bouffanais, Dick K. P. Yue
http://arxiv.org/abs/2008.00696v1
• [cs.RO]Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard
http://arxiv.org/abs/2008.00456v1
• [cs.RO]Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions
Xinrui Wang, Karen Leung, Marco Pavone
http://arxiv.org/abs/2008.00067v1
• [cs.RO]Interactive Imitation Learning in State-Space
Snehal Jauhri, Carlos Celemin, Jens Kober
http://arxiv.org/abs/2008.00524v1
• [cs.RO]IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang
http://arxiv.org/abs/2008.00549v1
• [cs.RO]Learning Agile Locomotion via Adversarial Training
Yujin Tang, Jie Tan, Tatsuya Harada
http://arxiv.org/abs/2008.00603v1
• [cs.RO]Learning to Drive Small Scale Cars from Scratch
Ari Viitala, Rinu Boney, Juho Kannala
http://arxiv.org/abs/2008.00715v1
• [cs.RO]LiDAR point-cloud processing based on projection methods: a comparison
Guidong Yang, Simone Mentasti, Mattia Bersani, Yafei Wang, Francesco Braghin, Federico Cheli
http://arxiv.org/abs/2008.00706v1
• [cs.RO]Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles
Björn Lindqvist, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi, George Nikolakopoulos
http://arxiv.org/abs/2008.00792v1
• [cs.RO]Planning to Score a Goal in Robotic Football with Heuristic Search
Ivan Khokhlov, Vladimir Litvinenko, Ilya Ryakin, KonstantinYakovlev
http://arxiv.org/abs/2008.00851v1
• [cs.RO]Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments
Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis
http://arxiv.org/abs/2008.00969v1
• [cs.RO]Solving Cosserat Rod Models via Collocation and the Magnus Expansion
Andrew L. Orekhov, Nabil Simaan
http://arxiv.org/abs/2008.01054v1
• [cs.RO]Telemanipulation with Chopsticks: Analyzing Human Factors in User Demonstrations
Liyiming Ke, Ajinkya Kamat, Jingqiang Wang, Tapomayukh Bhattacharjee, Christoforos Mavrogiannis, Siddhartha S. Srinivasa
http://arxiv.org/abs/2008.00101v1
• [cs.RO]Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
Yujie He, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu
http://arxiv.org/abs/2008.00528v1
• [cs.RO]Variational Filtering with Copula Models for SLAM
John D. Martin, Kevin Doherty, Caralyn Cyr, Brendan Englot, John Leonard
http://arxiv.org/abs/2008.00504v1
• [cs.RO]Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller
Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart, Wei Zhang, Ayonga Hereid
http://arxiv.org/abs/2008.00376v1
• [cs.SD]audioLIME: Listenable Explanations Using Source Separation
Verena Haunschmid, Ethan Manilow, Gerhard Widmer
http://arxiv.org/abs/2008.00582v1
• [cs.SE]Inter-Coder Agreement for Improving Reliability in Software Engineering Qualitative Research
Ángel González-Prieto, Jorge Perez, Jessica Diaz, Daniel López-Fernández
http://arxiv.org/abs/2008.00977v1
• [cs.SI]A Visual Analytics Framework for Contrastive Network Analysis
Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma
http://arxiv.org/abs/2008.00151v1
• [cs.SI]A spectral clustering approach for the evolution of the COVID-19 pandemic in the state of Rio Grande do Sul, Brazil
Luiz Emilio Allem, Carlos Hoppen, Matheus Micadei Marzo, Lucas Siviero Sibemberg
http://arxiv.org/abs/2008.00333v1
• [cs.SI]Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Shahan Ali Memon, Kathleen M. Carley
http://arxiv.org/abs/2008.00791v1
• [cs.SI]Community membership consistency in corporate board interlock networks
Dafne E. van Kuppevelt, Rena Bakhshi, Eelke M. Heemskerk, Frank W. Takes
http://arxiv.org/abs/2008.00745v1
• [cs.SI]Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic
Blas Kolic, Joel Dyer
http://arxiv.org/abs/2008.00854v1
• [cs.SI]Independent publishers and social networks in the 21st century: the balance of power in the transatlantic Spanish-language book market
Ana Gallego-Cuiñas, Esteban Romero-Frías, Wenceslao Arroyo-Machado
http://arxiv.org/abs/2008.00993v1
• [cs.SI]Interest Clustering Coefficient: a New Metric for Directed Networks like Twitter
Thibaud Trolliet, Nathann Cohen, Frédéric Giroire, Luc Hogie, Stéphane Pérennes
http://arxiv.org/abs/2008.00517v1
• [cs.SI]Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19
Oguzhan Gencoglu
http://arxiv.org/abs/2008.00461v1
• [cs.SI]Learning-based link prediction analysis for Facebook100 network
Tim Poštuvan, Semir Salkić, Lovro Šubelj
http://arxiv.org/abs/2008.00308v1
• [cs.SI]Mitigating the Backfire Effect Using Pacing and Leading
Qi Yang, Khizar Qureshi, Tauhid Zaman
http://arxiv.org/abs/2008.00049v1
• [cs.SI]Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data
Shakila Khan Rumi, Kyle K. Qin, Flora D. Salim
http://arxiv.org/abs/2008.00113v1
• [econ.EM]Design-Based Uncertainty for Quasi-Experiments
Ashesh Rambachan, Jonathan Roth
http://arxiv.org/abs/2008.00602v1
• [econ.EM]Estimating TVP-VAR models with time invariant long-run multipliers
Denis Belomestny, Ekaterina Krymova, Andrey Polbin
http://arxiv.org/abs/2008.00718v1
• [econ.EM]Simpler Proofs for Approximate Factor Models of Large Dimensions
Jushan Bai, Serena Ng
http://arxiv.org/abs/2008.00254v1
• [econ.EM]Testing error distribution by kernelized Stein discrepancy in multivariate time series models
Donghang Luo, Ke Zhu, Huan Gong, Dong Li
http://arxiv.org/abs/2008.00747v1
• [econ.EM]What can we learn about SARS-CoV-2 prevalence from testing and hospital data?
Daniel W. Sacks, Nir Menachemi, Peter Embi, Coady Wing
http://arxiv.org/abs/2008.00298v1
• [econ.GN]Male Earnings Volatility in LEHD before, during, and after the Great Recession
Kevin L. McKinney, John M. Abowd
http://arxiv.org/abs/2008.00253v1
• [eess.AS]An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances
Hu Hu, Sabato Marco Siniscalchi, Yannan Wang, Xue Bai, Jun Du, Chin-Hui Lee
http://arxiv.org/abs/2008.00107v1
• [eess.AS]Audiovisual Speech Synthesis using Tacotron2
Ahmed Hussen Abdelaziz, Anushree Prasanna Kumar, Chloe Seivwright, Gabriele Fanelli, Justin Binder, Yannis Stylianou, Sachin Kajarekar
http://arxiv.org/abs/2008.00620v1
• [eess.AS]Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages
Badr Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
http://arxiv.org/abs/2008.00545v1
• [eess.AS]Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation
Weitao Yuan, Bofei Dong, Shengbei Wang, Masashi Unoki, Wenwu Wang
http://arxiv.org/abs/2008.00816v1
• [eess.AS]Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech
Monica Sunkara, Srikanth Ronanki, Dhanush Bekal, Sravan Bodapati, Katrin Kirchhoff
http://arxiv.org/abs/2008.00702v1
• [eess.AS]Multitask learning for instrument activation aware music source separation
Yun-Ning Hung, Alexander Lerch
http://arxiv.org/abs/2008.00616v1
• [eess.AS]Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting
Hiroshi Fuketa, Yukinori Morita
http://arxiv.org/abs/2008.00209v1
• [eess.AS]One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech
Tomáš Nekvinda, Ondřej Dušek
http://arxiv.org/abs/2008.00768v1
• [eess.AS]Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
Hu Hu, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee
http://arxiv.org/abs/2008.00110v1
• [eess.AS]Score-informed Networks for Music Performance Assessment
Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch
http://arxiv.org/abs/2008.00203v1
• [eess.AS]Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
Rohit M. A., Preeti Rao
http://arxiv.org/abs/2008.00756v1
• [eess.AS]Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
Okko Räsänen, María Andrea Cruz Blandón
http://arxiv.org/abs/2008.00731v1
• [eess.IV]Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network
Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, E Mark Haacke, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia
http://arxiv.org/abs/2008.00901v1
• [eess.IV]Diabetic Retinopathy Diagnosis based on Convolutional Neural Network
Mohammed hamzah abed, Lamia Abed Noor Muhammed, Sarah Hussein Toman
http://arxiv.org/abs/2008.00148v1
• [eess.IV]Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution
Ruicheng Feng, Weipeng Guan, Yu qiao, Chao Dong
http://arxiv.org/abs/2008.00239v1
• [eess.IV]Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Guanghao Yin, Shouqian Sun, Chao Li, Xin Min
http://arxiv.org/abs/2008.00195v1
• [eess.IV]Multi-Scale Deep Compressive Imaging
Thuong Nguyen Canh, Byeungwoo Jeon
http://arxiv.org/abs/2008.00802v1
• [eess.IV]Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
http://arxiv.org/abs/2008.00499v1
• [eess.IV]Regularization by Denoising via Fixed-Point Projection (RED-PRO)
Regev Cohen, Michael Elad, Peyman Milanfar
http://arxiv.org/abs/2008.00226v1
• [eess.IV]The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar
http://arxiv.org/abs/2008.00605v1
• [eess.SY]Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods
Karen Leung, Nikos Aréchiga, Marco Pavone
http://arxiv.org/abs/2008.00097v1
• [math.CO]Generalized Cut Polytopes for Binary Hierarchical Models
Jane Ivy Coons, Joseph Cummings, Benjamin Hollering, Aida Maraj
http://arxiv.org/abs/2008.00043v1
• [math.CO]Superregular matrices over small finite fields
Paulo Almeida, Diego Napp
http://arxiv.org/abs/2008.00215v1
• [math.DS]On Frink’s type metrization of weighted graphs
María Florencia Acosta, Hugo Aimar, Ivana Gómez
http://arxiv.org/abs/2008.00569v1
• [math.FA]Phase Transitions in Rate Distortion Theory and Deep Learning
Philipp Grohs, Andreas Klotz, Felix Voigtlaender
http://arxiv.org/abs/2008.01011v1
• [math.OC]Review on Ranking and Selection: A New Perspective
L. Jeff Hong, Weiwei Fan, Jun Luo
http://arxiv.org/abs/2008.00249v1
• [math.ST]A New Class of Multivariate Elliptically Contoured Distributions with Inconsistency Property
Yeshunying Wang, Chuancun Yin
http://arxiv.org/abs/2008.00130v1
• [math.ST]Gibbs sampler and coordinate ascent variational inference: a set-theoretical review
Se Yoon Lee
http://arxiv.org/abs/2008.01006v1
• [math.ST]On Bayesian Estimation of Densities and Sampling Distributions: the Posterior Predictive Distribution as the Bayes Estimator
A. G. Nogales
http://arxiv.org/abs/2008.00683v1
• [math.ST]On Dantzig and Lasso estimators of the drift in a high dimensional Ornstein-Uhlenbeck model
Gabriela Ciolek, Dmytro Marushkevych, Mark Podolskij
http://arxiv.org/abs/2008.00847v1
• [math.ST]Posterior Impropriety of some Sparse Bayesian Learning Models
Anand Dixit, Vivekananda Roy
http://arxiv.org/abs/2008.00242v1
• [physics.comp-ph]DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory
Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E
http://arxiv.org/abs/2008.00167v1
• [physics.soc-ph]Effective Self-Healing Networks against Attacks or Disasters in Resource Allocation Control
Yukio Hayashi, Atsushi Tanaka, Jun Matsukubo
http://arxiv.org/abs/2008.00651v1
• [q-bio.NC]Neural Network Degeneration and its Relationship to the Brain
Jacob Adamczyk
http://arxiv.org/abs/2008.00053v1
• [quant-ph]Order from chaos in quantum walks on cyclic graphs
Abhisek Panda, Colin Benjamin
http://arxiv.org/abs/2008.00316v1
• [quant-ph]Quantum versus Classical Generative Modelling in Finance
Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi
http://arxiv.org/abs/2008.00691v1
• [stat.AP]Analysis of Prescription Drug Utilization with Beta Regression Models
Guojun Gan, Emiliano A. Valdez
http://arxiv.org/abs/2008.00048v1
• [stat.AP]Application of Bayesian Dynamic Linear Models to Random Allocation Clinical Trials
Albert. H. Lee III, Edward L Boone, Roy T. Sabo, Erin Donahue
http://arxiv.org/abs/2008.00339v1
• [stat.AP]Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
Jinjian Mu, Qingyang Liu, Lynn Kuo, Guanyu Hu
http://arxiv.org/abs/2008.00615v1
• [stat.AP]Combining Breast Cancer Risk Prediction Models
Zoe Guan, Theodore Huang, Anne Marie McCarthy, Kevin S. Hughes, Alan Semine, Hajime Uno, Lorenzo Trippa, Giovanni Parmigiani, Danielle Braun
http://arxiv.org/abs/2008.01019v1
• [stat.AP]Fixing Bias in Zipf’s Law Estimators Using Approximate Bayesian Computation
Charlie Pilgrim, Thomas Hills
http://arxiv.org/abs/2008.00903v1
• [stat.AP]Markovian And Non-Markovian Processes with Active Decision Making Strategies For Addressing The COVID-19 Epidemic
Hamid Eftekhari, Debarghya Mukherjee, Moulinath Banerjee, Ya’acov Ritov
http://arxiv.org/abs/2008.00375v1
• [stat.AP]Modeling of Lifeline Infrastructure Restoration Using Empirical Quantitative Data
Matthew Martell, Scott Miles, Youngjun Choe
http://arxiv.org/abs/2008.00991v1
• [stat.AP]On unified framework for continuous-time grey models: an integral matching perspective
Baolei Wei, Naiming Xie
http://arxiv.org/abs/2008.00522v1
• [stat.AP]Spatiotemporal Analysis of Ridesourcing and Taxi Demand by Taxi zones in New York City
Patrick Toman, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri
http://arxiv.org/abs/2008.00568v1
• [stat.AP]Vector quantisation and partitioning of COVID-19 temporal dynamics in the United States
Chris von Csefalvay
http://arxiv.org/abs/2008.00559v1
• [stat.ME]A Bayesian Mixture Model for Changepoint Estimation Using Ordinal Predictors
Emily Roberts, Lili Zhao
http://arxiv.org/abs/2008.00300v1
• [stat.ME]A Stochastic EM Algorithm for Cure Rate Model with Negative Binomial Competing Risks and Non-homogeneous Lifetime
Suvra Pal
http://arxiv.org/abs/2008.00532v1
• [stat.ME]A monotonicity property of weighted log-rank tests
Tahani Coolen-Maturi, Frank P. A. Coolen
http://arxiv.org/abs/2008.00848v1
• [stat.ME]Bayesian model averaging for analysis of lattice field theory results
William I. Jay, Ethan T. Neil
http://arxiv.org/abs/2008.01069v1
• [stat.ME]Conditional As-If Analyses in Randomized Experiments
Nicole E. Pashley, Guillaume W. Basse, Luke W. Miratrix
http://arxiv.org/abs/2008.01029v1
• [stat.ME]Dirichlet-tree multinomial mixtures for clustering microbiome compositions
Jialiang Mao, Li Ma
http://arxiv.org/abs/2008.00400v1
• [stat.ME]Double-robust and efficient methods for estimating the causal effects of a binary treatment
James Robins, Mariela Sued, Quanhong Lei-Gomez, Andrea Rotnitzky
http://arxiv.org/abs/2008.00507v1
• [stat.ME]Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
Amanda Fernández-Fontelo, David Moriña, Alejandra Cabaña, Argimiro Arratia, Pere Puig
http://arxiv.org/abs/2008.00262v1
• [stat.ME]Heterogeneous Treatment and Spillover Effects under Clustered Network Interference
Falco J. Bargagli-Stoffi, Costanza Tortù, Laura Forastiere
http://arxiv.org/abs/2008.00707v1
• [stat.ME]Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
Nina Kudryashova, Theoklitos Amvrosiadis, Nathalie Dupuy, Nathalie Rochefort, Arno Onken
http://arxiv.org/abs/2008.01007v1
• [stat.ME]Partial identification and dependence-robust confidence intervals for capture-recapture surveys
Jinghao Sun, Luk Van Baelen, Els Plettinckx, Forrest W. Crawford
http://arxiv.org/abs/2008.00127v1
• [stat.ME]Robust Experimental Designs for Model Calibration
Arvind Krishna, V. Roshan Joseph, Shan Ba, William A. Brenneman, William R. Myers
http://arxiv.org/abs/2008.00547v1
• [stat.ME]Robust optimal estimation of the mean function from discretely sampled functional data
Ioannis Kalogridis, Stefan Van Aelst
http://arxiv.org/abs/2008.00782v1
• [stat.ME]Sparse Network Modeling
Moo K. Chung
http://arxiv.org/abs/2008.00313v1
• [stat.ME]The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
Konstantinos Pantazis, Avanti Athreya, William N. Frost, Evan S. Hill, Vince Lyzinski
http://arxiv.org/abs/2008.00163v1
• [stat.ME]Two-sample Testing on Latent Distance Graphs With Unknown Link Functions
Yiran Wang, Minh Tang, Soumendra Nath Lahiri
http://arxiv.org/abs/2008.01038v1
• [stat.ME]Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome
Alessandra Cabassi, Denis Seyres, Mattia Frontini, Paul D. W. Kirk
http://arxiv.org/abs/2008.00235v1
• [stat.ML]Cold Posteriors and Aleatoric Uncertainty
Ben Adlam, Jasper Snoek, Samuel L. Smith
http://arxiv.org/abs/2008.00029v1
• [stat.ML]Convergence of Sparse Variational Inference in Gaussian Processes Regression
David R. Burt, Carl Edward Rasmussen, Mark van der Wilk
http://arxiv.org/abs/2008.00323v1
• [stat.ML]Geometrically Enriched Latent Spaces
Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf
http://arxiv.org/abs/2008.00565v1
• [stat.ML]Rule-based Bayesian regression
Themistoklis Botsas, Lachlan R. Mason, Indranil Pan
http://arxiv.org/abs/2008.00422v1
• [stat.OT]A fresh look at introductory data science
Mine Çetinkaya-Rundel, Victoria Ellison
http://arxiv.org/abs/2008.00315v1