cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ex - 高能物理实验 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 physics.comp-ph - 计算物理学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.GN - 通用财务 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
• [cs.AI]A Flexible Pipeline for the Optimization of CSG Trees
• [cs.AI]A Logical Approach to Representing Constraints in Wikidata
• [cs.AI]A Phase Transition in Minesweeper
• [cs.AI]ASP(AC): Answer Set Programming with Algebraic Constraints
• [cs.AI]Advancing Lazy-Grounding ASP Solving Techniques — Restarts, Phase Saving, Heuristics, and More
• [cs.AI]Bilevel Learning Model Towards Industrial Scheduling
• [cs.AI]Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming
• [cs.AI]Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
• [cs.AI]Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach
• [cs.AI]Learning (Re-)Starting Solutions for Vehicle Routing Problems
• [cs.AI]Learning abstract structure for drawing by efficient motor program induction
• [cs.AI]NMR Assignment through Linear Programming
• [cs.AI]Navigating Language Models with Synthetic Agents
• [cs.AI]On the Gap between Epidemiological Surveillance and Preparedness
• [cs.AI]Reasoning about Cardinal Directions between 3-Dimensional Extended Objects using Answer Set Programming
• [cs.AI]Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
• [cs.AI]Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
• [cs.AI]White-box Induction From SVM Models: Explainable AI with Logic Programming
• [cs.CL]A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora
• [cs.CL]A Large-Scale Chinese Short-Text Conversation Dataset
• [cs.CL]Assessing Demographic Bias in Named Entity Recognition
• [cs.CL]DQI: A Guide to Benchmark Evaluation
• [cs.CL]Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
• [cs.CL]Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
• [cs.CL]Does BERT Solve Commonsense Task via Commonsense Knowledge?
• [cs.CL]Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training
• [cs.CL]Fast and Accurate Neural CRF Constituency Parsing
• [cs.CL]FireBERT: Hardening BERT-based classifiers against adversarial attack
• [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
• [cs.CL]Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
• [cs.CL]Point or Generate Dialogue State Tracker
• [cs.CL]Question Identification in Arabic Language Using Emotional Based Features
• [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
• [cs.CL]Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection
• [cs.CL]SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
• [cs.CR]Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
• [cs.CR]Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
• [cs.CR]Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
• [cs.CR]Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach
• [cs.CV]1-Point RANSAC-Based Method for Ground Object Pose Estimation
• [cs.CV]2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
• [cs.CV]3D Human Motion Estimation via Motion Compression and Refinement
• [cs.CV]A Unified Framework for Shot Type Classification Based on Subject Centric Lens
• [cs.CV]Appearance-free Tripartite Matching for Multiple Object Tracking
• [cs.CV]Assisting Scene Graph Generation with Self-Supervision
• [cs.CV]Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification
• [cs.CV]Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
• [cs.CV]Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
• [cs.CV]Cooperative Bi-path Metric for Few-shot Learning
• [cs.CV]Cross-modal Center Loss
• [cs.CV]DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
• [cs.CV]Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
• [cs.CV]Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
• [cs.CV]Deep Sketch-guided Cartoon Video Synthesis
• [cs.CV]Deep learning for photoacoustic imaging: a survey
• [cs.CV]Depth image denoising using nuclear norm and learning graph model
• [cs.CV]Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
• [cs.CV]Domain Private and Agnostic Feature for Modality Adaptive Face Recognition
• [cs.CV]Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
• [cs.CV]Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
• [cs.CV]Feature Space Augmentation for Long-Tailed Data
• [cs.CV]Flow-Guided Attention Networks for Video-Based Person Re-Identification
• [cs.CV]Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
• [cs.CV]Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
• [cs.CV]From Rain Removal to Rain Generation
• [cs.CV]From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems
• [cs.CV]Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
• [cs.CV]HAPI: Hardware-Aware Progressive Inference
• [cs.CV]HASeparator: Hyperplane-Assisted Softmax
• [cs.CV]Hard Class Rectification for Domain Adaptation
• [cs.CV]Hard Negative Samples Emphasis Tracker without Anchors
• [cs.CV]Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification
• [cs.CV]How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
• [cs.CV]Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
• [cs.CV]I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
• [cs.CV]IF-Net: An Illumination-invariant Feature Network
• [cs.CV]Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise
• [cs.CV]Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
• [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
• [cs.CV]LPMNet: Latent Part Modification and Generation for 3D Point Clouds
• [cs.CV]Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
• [cs.CV]Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs
• [cs.CV]Learning CNN filters from user-drawn image markers for coconut-tree image classification
• [cs.CV]Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking
• [cs.CV]LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
• [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
• [cs.CV]Measuring shape relations using r-parallel sets
• [cs.CV]Meta Feature Modulator for Long-tailed Recognition
• [cs.CV]Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
• [cs.CV]NASB: Neural Architecture Search for Binary Convolutional Neural Networks
• [cs.CV]Neural Light Transport for Relighting and View Synthesis
• [cs.CV]Neural Reflectance Fields for Appearance Acquisition
• [cs.CV]Nighttime Dehazing with a Synthetic Benchmark
• [cs.CV]Online Extrinsic Camera Calibration for Temporally Consistent IPM Using Lane Boundary Observations with a Lane Width Prior
• [cs.CV]Online Multi-modal Person Search in Videos
• [cs.CV]PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
• [cs.CV]Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation
• [cs.CV]Prototype Mixture Models for Few-shot Semantic Segmentation
• [cs.CV]RPT: Learning Point Set Representation for Siamese Visual Tracking
• [cs.CV]Radar-based Dynamic Occupancy Grid Mapping and Object Detection
• [cs.CV]Recurrent Feature Reasoning for Image Inpainting
• [cs.CV]Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
• [cs.CV]Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
• [cs.CV]RocNet: Recursive Octree Network for Efficient 3D Deep Representation
• [cs.CV]SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
• [cs.CV]Self-Supervised Learning of Audio-Visual Objects from Video
• [cs.CV]SemEval-2020 Task 8: Memotion Analysis — The Visuo-Lingual Metaphor!
• [cs.CV]Single-Shot Two-Pronged Detector with Rectified IoU Loss
• [cs.CV]Spatiotemporal Contrastive Video Representation Learning
• [cs.CV]SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
• [cs.CV]T-GD: Transferable GAN-generated Images Detection Framework
• [cs.CV]Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
• [cs.CV]Tracking in Crowd is Challenging: Analyzing Crowd based on Physical Characteristics
• [cs.CV]Two-branch Recurrent Network for Isolating Deepfakes in Videos
• [cs.CV]Unravelling Small Sample Size Problems in the Deep Learning World
• [cs.CV]Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
• [cs.CV]Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
• [cs.CV]Using UNet and PSPNet to explore the reusability principle of CNN parameters
• [cs.CV]VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
• [cs.CV]Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
• [cs.CY]A novel hand-held interface supporting the self-management of Type 1 diabetes
• [cs.CY]Agricultural Knowledge Management Using Smart Voice Messaging Systems: Combination of Physical and Human Sensors
• [cs.CY]Anxiety Detection Leveraging Mobile Passive Sensing
• [cs.CY]COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
• [cs.CY]Mining and Analyzing Patron’s Book-Loan Data and University Data to Understand Library Use Patterns
• [cs.CY]PolicyKit: Building Governance in Online Communities
• [cs.CY]Service Ecosystem: A Lens of Smart Society
• [cs.CY]Tactics for Internal Compliance: A Literature Review
• [cs.CY]The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support
• [cs.CY]Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires
• [cs.DC]BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
• [cs.DC]Coloring Fast Without Learning Your Neighbors’ Colors
• [cs.DC]Communication Efficient Self-Stabilizing Leader Election (Full Version)
• [cs.DC]Concurrent Fixed-Size Allocation and Free in Constant Time
• [cs.DC]ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms
• [cs.DC]Improved Bounds for Distributed Load Balancing
• [cs.DC]Making Byzantine Consensus Live (Extended Version)
• [cs.DC]Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
• [cs.DC]Towards a Reference Architecture Model for Industrial Edge Computing
• [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
• [cs.DL]Navigating the landscape of COVID-19 research through literature analysis: A bird’s eye view
• [cs.DL]The Role of Positive and Negative Citations in Scientific Evaluation
• [cs.GR]Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
• [cs.HC]Social Interactions Clustering MOOC Students: An Exploratory Study
• [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
• [cs.IR]Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
• [cs.IR]Diverse Group Formation Based on Multiple Demographic Features
• [cs.IR]Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
• [cs.IR]Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
• [cs.IT]A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals
• [cs.IT]Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
• [cs.IT]Double Blind $T$-Private Information Retrieval
• [cs.IT]Fundamental Limits of Caching for Demand Privacy against Colluding Users
• [cs.IT]New Constructions of MDS Twisted Reed-Solomon Codes and LCD MDS Codes
• [cs.IT]Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward
• [cs.IT]Parameter estimation in the SIR model from early infections
• [cs.IT]Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things
• [cs.IT]Sketching semidefinite programs for faster clustering
• [cs.LG]A Novel Community Detection Based Genetic Algorithm for Feature Selection
• [cs.LG]A Survey on Large-scale Machine Learning
• [cs.LG]A novel residual whitening based training to avoid overfitting
• [cs.LG]ARCADe: A Rapid Continual Anomaly Detector
• [cs.LG]Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
• [cs.LG]Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach
• [cs.LG]Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
• [cs.LG]EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
• [cs.LG]Feature Ranking for Semi-supervised Learning
• [cs.LG]GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
• [cs.LG]HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
• [cs.LG]Improving the Speed and Quality of GAN by Adversarial Training
• [cs.LG]Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
• [cs.LG]Intelligent Matrix Exponentiation
• [cs.LG]Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
• [cs.LG]Lenient Regret for Multi-Armed Bandits
• [cs.LG]Lie PCA: Density estimation for symmetric manifolds
• [cs.LG]LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
• [cs.LG]Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
• [cs.LG]Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
• [cs.LG]Nyström Approximation with Nonnegative Matrix Factorization
• [cs.LG]Partitioning signal classes using transport transforms for data analysis and machine learning
• [cs.LG]RARTS: a Relaxed Architecture Search Method
• [cs.LG]Review of Swarm Intelligence-based Feature Selection Methods
• [cs.LG]Testing Determinantal Point Processes
• [cs.LG]Using Experts’ Opinions in Machine Learning Tasks
• [cs.LG]What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
• [cs.LG]Why to “grow” and “harvest” deep learning models?
• [cs.LO]Proof-Carrying Plans: a Resource Logic for AI Planning
• [cs.NE]DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
• [cs.NE]Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
• [cs.NE]Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
• [cs.NE]Protein Structured Reservoir computing for Spike-based Pattern Recognition
• [cs.NE]Spatial Sharing of GPU for Autotuning DNN models
• [cs.NE]Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
• [cs.NE]Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
• [cs.PL]Code Building Genetic Programming
• [cs.RO]Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
• [cs.RO]Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization
• [cs.RO]Cyrus 2D Simulation Team Description Paper2018
• [cs.RO]Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning
• [cs.RO]Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
• [cs.RO]Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
• [cs.RO]Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
• [cs.RO]Neural Manipulation Planning on Constraint Manifolds
• [cs.RO]TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors
• [cs.RO]The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
• [cs.RO]TriFinger: An Open-Source Robot for Learning Dexterity
• [cs.RO]Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction
• [cs.SD]A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration
• [cs.SD]Metric Learning vs Classification for Disentangled Music Representation Learning
• [cs.SI]A Random Growth Model with any Real or Theoretical Degree Distribution
• [cs.SI]Adversarial Directed Graph Embedding
• [cs.SI]Analysing Networks of Networks
• [cs.SI]Behavioral Modeling of Persian Instagram Users to detect Bots
• [cs.SI]Big Networks: A Survey
• [cs.SI]Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City
• [cs.SI]Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions
• [cs.SI]Extracting Backbones in Weighted Modular Complex Networks
• [cs.SI]ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
• [cs.SI]MODEL: Motif-based Deep Feature Learning for Link Prediction
• [cs.SI]Multivariate Relations Aggregation Learning in Social Networks
• [cs.SI]Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
• [cs.SI]Prediction Methods and Applications in the Science of Science: A Survey
• [cs.SI]Random Walks: A Review of Algorithms and Applications
• [cs.SI]Robust Bayesian inference of network structure from unreliable data
• [cs.SI]Storyline Visualizations with Ubiquitous Actors
• [econ.EM]Machine Learning Panel Data Regressions with an Application to Nowcasting Price Earnings Ratios
• [econ.EM]Nonparametric prediction with spatial data
• [econ.TH]Purely Bayesian counterfactuals versus Newcomb’s paradox
• [eess.AS]A New Approach to Accent Recognition and Conversion for Mandarin Chinese
• [eess.AS]Accurate Detection of Wake Word Start and End Using a CNN
• [eess.AS]Audio Spoofing Verification using Deep Convolutional Neural Networks by Transfer Learning
• [eess.AS]Deep F-measure Maximization for End-to-End Speech Understanding
• [eess.AS]Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
• [eess.AS]Disentangled Multidimensional Metric Learning for Music Similarity
• [eess.AS]Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
• [eess.AS]Extrapolating false alarm rates in automatic speaker verification
• [eess.AS]JukeBox: A Multilingual Singer Recognition Dataset
• [eess.AS]LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
• [eess.AS]Speaker discrimination in humans and machines: Effects of speaking style variability
• [eess.AS]Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
• [eess.AS]SpeedySpeech: Efficient Neural Speech Synthesis
• [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
• [eess.AS]VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
• [eess.AS]Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification
• [eess.AS]Word Error Rate Estimation Without ASR Output: e-WER2
• [eess.IV]A methodology for the measurement of track geometry based on computer vision and inertial sensors
• [eess.IV]A model-guided deep network for limited-angle computed tomography
• [eess.IV]An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI
• [eess.IV]Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
• [eess.IV]Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
• [eess.IV]Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
• [eess.IV]Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
• [eess.IV]Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection
• [eess.IV]Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
• [eess.IV]Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
• [eess.IV]Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
• [eess.IV]Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
• [eess.IV]Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
• [eess.IV]Representation Learning via Cauchy Convolutional Sparse Coding
• [eess.IV]Switching Loss for Generalized Nucleus Detection in Histopathology
• [eess.IV]Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network
• [eess.IV]X-Ray bone abnormalities detection using MURA dataset
• [eess.SP]A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
• [eess.SP]DFT-spread-OFDM Based Chirp Transmission
• [eess.SP]Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback
• [eess.SP]Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
• [eess.SP]Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios
• [eess.SP]Rounded Hartley Transform: A Quasi-involution
• [eess.SP]Two-Stage Clustering of Household Electricity Load Shapes based on Temporal Pattern & Peak Demand
• [eess.SP]Viral Aerosol Concentration Characterization and Detection in Bounded Environments
• [eess.SY]Deterministic error bounds for kernel-based learning techniques under bounded noise
• [eess.SY]From private to public governance: The case for reconfiguring energy systems as a commons
• [eess.SY]Maneuvering and robustness issues in undirected displacement-consensus-based formation control
• [eess.SY]One for Many: Transfer Learning for Building HVAC Control
• [hep-ex]Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
• [math.CO]On construction and (non)existence of $c$-(almost) perfect nonlinear functions
• [math.NA]Generalization error of minimum weighted norm and kernel interpolation
• [math.OC]An improved convergence analysis for decentralized online stochastic non-convex optimization
• [math.OC]Convex Q-Learning, Part 1: Deterministic Optimal Control
• [math.OC]Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance
• [math.ST]A Note on Likelihood Ratio Tests for Models with Latent Variables
• [math.ST]Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
• [math.ST]Exact log-likelihood for clustering parameterised models and normally distributed data
• [math.ST]Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes
• [math.ST]Statistical Query Lower Bounds for Tensor PCA
• [math.ST]Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices
• [physics.comp-ph]Optimal Bayesian experimental design for subsurface flow problems
• [physics.comp-ph]Representative elementary volume via averaged scalar Minkowski functionals
• [q-bio.NC]When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm
• [q-bio.QM]An AI-powered blood test to detect cancer using nanoDSF
• [q-bio.QM]Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
• [q-fin.GN]Transparency versus Performance in Financial Markets: The Role of CSR Communications
• [quant-ph]Global Optimum Search in Quantum Deep Learning
• [quant-ph]Quantum algorithmic randomness
• [stat.AP]A New Spatial Count Data Model with Time-varying Parameters
• [stat.AP]A robust and non-parametric model for prediction of dengue incidence
• [stat.AP]Scalable model selection for spatial additive mixed modeling: application to crime analysis
• [stat.AP]Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
• [stat.AP]Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
• [stat.ME]A potential outcomes approach to selection bias
• [stat.ME]Community models for partially observed networks from surveys
• [stat.ME]Covariate Balancing by Uniform Transformer
• [stat.ME]Generalized Liquid Association Analysis for Multimodal Data Integration
• [stat.ME]Generalized k-Means in GLMs with Applications to the Outbreak of COVID-19 in the United States
• [stat.ME]Grouping effects of sparse CCA models in variable selection
• [stat.ME]Using Multiple Imputation to Classify Potential Outcomes Subgroups
• [stat.ME]Visualization of Covariance Structures for Multivariate Spatio-Temporal Random Fields
• [stat.ML]$k$-means on a log-Cholesky Manifold, with Unsupervised Classification of Radar Products
• [stat.ML]A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
• [stat.ML]Directed hypergraph neural network
• [stat.ML]Do ideas have shape? Plato’s theory of forms as the continuous limit of artificial neural networks
• [stat.ML]Individualized Prediction of COVID-19 Adverse outcomes with MLHO
• [stat.ML]Intervention Generative Adversarial Networks
• [stat.ML]Modal Principal Component Analysis
• [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
• [stat.ML]Robust Validation: Confident Predictions Even When Distributions Shift
• [stat.ML]Spectral Algorithms for Community Detection in Directed Networks
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• [cs.AI]A Flexible Pipeline for the Optimization of CSG Trees
Markus Friedrich, Christoph Roch, Sebastian Feld, Carsten Hahn, Pierre-Alain Fayolle
http://arxiv.org/abs/2008.03674v1
• [cs.AI]A Logical Approach to Representing Constraints in Wikidata
David L. Martin, Peter F. Patel-Schneider
http://arxiv.org/abs/2008.03900v1
• [cs.AI]A Phase Transition in Minesweeper
Ross Dempsey, Charles Guinn
http://arxiv.org/abs/2008.04116v1
• [cs.AI]ASP(AC): Answer Set Programming with Algebraic Constraints
Thomas Eiter, Rafael Kiesel
http://arxiv.org/abs/2008.04008v1
• [cs.AI]Advancing Lazy-Grounding ASP Solving Techniques — Restarts, Phase Saving, Heuristics, and More
Antonius Weinzierl, Richard Taupe, Gerhard Friedrich
http://arxiv.org/abs/2008.03526v1
• [cs.AI]Bilevel Learning Model Towards Industrial Scheduling
Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, XialiangTong, Jia Zeng, Jun Wang, Dirk Schnieders
http://arxiv.org/abs/2008.04130v1
• [cs.AI]Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming
Aysu Bogatarkan, Esra Erdem
http://arxiv.org/abs/2008.03573v1
• [cs.AI]Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong
http://arxiv.org/abs/2008.03444v1
• [cs.AI]Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach
Momina Rizwan, Volkan Patoglu, Esra Erdem
http://arxiv.org/abs/2008.03496v1
• [cs.AI]Learning (Re-)Starting Solutions for Vehicle Routing Problems
Xingwen Zhang, Shuang Yang
http://arxiv.org/abs/2008.03424v1
• [cs.AI]Learning abstract structure for drawing by efficient motor program induction
Lucas Y. Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum
http://arxiv.org/abs/2008.03519v1
• [cs.AI]NMR Assignment through Linear Programming
Jose F. S. Bravo-Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
http://arxiv.org/abs/2008.03641v1
• [cs.AI]Navigating Language Models with Synthetic Agents
Philip Feldman
http://arxiv.org/abs/2008.04162v1
• [cs.AI]On the Gap between Epidemiological Surveillance and Preparedness
Svetlana Yanushkevich, Vlad Shmerko
http://arxiv.org/abs/2008.03845v1
• [cs.AI]Reasoning about Cardinal Directions between 3-Dimensional Extended Objects using Answer Set Programming
Yusuf Izmirlioglu, Esra Erdem
http://arxiv.org/abs/2008.04126v1
• [cs.AI]Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
Jarrett Holtz, Arjun Guha, Joydeep Biswas
http://arxiv.org/abs/2008.04133v1
• [cs.AI]Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
Joshua R Bertram, Peng Wei, Joseph Zambreno
http://arxiv.org/abs/2008.03518v1
• [cs.AI]White-box Induction From SVM Models: Explainable AI with Logic Programming
Farhad Shakerin, Gopal Gupta
http://arxiv.org/abs/2008.03301v1
• [cs.CL]A Bootstrapped Model to Detect Abuse and Intent in White Supremacist Corpora
B. Simons, D. B. Skillicorn
http://arxiv.org/abs/2008.04276v1
• [cs.CL]A Large-Scale Chinese Short-Text Conversation Dataset
Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang
http://arxiv.org/abs/2008.03946v1
• [cs.CL]Assessing Demographic Bias in Named Entity Recognition
Shubhanshu Mishra, Sijun He, Luca Belli
http://arxiv.org/abs/2008.03415v1
• [cs.CL]DQI: A Guide to Benchmark Evaluation
Swaroop Mishra, Anjana Arunkumar, Bhavdeep Sachdeva, Chris Bryan, Chitta Baral
http://arxiv.org/abs/2008.03964v1
• [cs.CL]Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Hayato Futami, Hirofumi Inaguma, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
http://arxiv.org/abs/2008.03822v1
• [cs.CL]Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke
http://arxiv.org/abs/2008.03391v1
• [cs.CL]Does BERT Solve Commonsense Task via Commonsense Knowledge?
Leyang Cui, Sijie Cheng, Yu Wu, Yue Zhang
http://arxiv.org/abs/2008.03945v1
• [cs.CL]Fast Gradient Projection Method for Text Adversary Generation and Adversarial Training
Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
http://arxiv.org/abs/2008.03709v1
• [cs.CL]Fast and Accurate Neural CRF Constituency Parsing
Yu Zhang, Houquan Zhou, Zhenghua Li
http://arxiv.org/abs/2008.03736v1
• [cs.CL]FireBERT: Hardening BERT-based classifiers against adversarial attack
Gunnar Mein, Kevin Hartman, Andrew Morris
http://arxiv.org/abs/2008.04203v1
• [cs.CL]KR-BERT: A Small-Scale Korean-Specific Language Model
Sangah Lee, Hansol Jang, Yunmee Baik, Hyopil Shin
http://arxiv.org/abs/2008.03979v1
• [cs.CL]Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
Prakhar Swarup, Debmalya Chakrabarty, Ashtosh Sapru, Hitesh Tulsiani, Harish Arsikere, Sri Garimella
http://arxiv.org/abs/2008.03923v1
• [cs.CL]Point or Generate Dialogue State Tracker
Song Xiaohui, Hu Songlin
http://arxiv.org/abs/2008.03417v1
• [cs.CL]Question Identification in Arabic Language Using Emotional Based Features
Ahmed Ramzy, Ahmed Elazab
http://arxiv.org/abs/2008.03843v1
• [cs.CL]Quran Intelligent Ontology Construction Approach Using Association Rules Mining
Fouzi Harrag, Abdullah Al-Nasser, Abdullah Al-Musnad, Rayan Al-Shaya
http://arxiv.org/abs/2008.03232v2
• [cs.CL]Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection
Xiruo Ding, Trevor Cohen
http://arxiv.org/abs/2008.03340v1
• [cs.CL]SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das
http://arxiv.org/abs/2008.04277v1
• [cs.CR]Consumer UAV Cybersecurity Vulnerability Assessment Using Fuzzing Tests
David Rudo, Dr. Kai Zeng
http://arxiv.org/abs/2008.03621v1
• [cs.CR]Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
Mohammad J. Hashemi, Eric Keller
http://arxiv.org/abs/2008.03677v1
• [cs.CR]Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
http://arxiv.org/abs/2008.03297v1
• [cs.CR]Randomness Evaluation of a Genetic Algorithm for Image Encryption: A Signal Processing Approach
Zoubir Hamici
http://arxiv.org/abs/2008.03681v1
• [cs.CV]1-Point RANSAC-Based Method for Ground Object Pose Estimation
Jeong-Kyun Lee, Young-Ki Baik, Hankyu Cho, Kang Kim, Duck Hoon Kim
http://arxiv.org/abs/2008.03718v1
• [cs.CV]2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao
http://arxiv.org/abs/2008.03996v1
• [cs.CV]3D Human Motion Estimation via Motion Compression and Refinement
Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani
http://arxiv.org/abs/2008.03789v1
• [cs.CV]A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin
http://arxiv.org/abs/2008.03548v1
• [cs.CV]Appearance-free Tripartite Matching for Multiple Object Tracking
Lijun Wang, Yanting Zhu, Jue Shi, Xiaodan Fan
http://arxiv.org/abs/2008.03628v1
• [cs.CV]Assisting Scene Graph Generation with Self-Supervision
Sandeep Inuganti, Vineeth N Balasubramanian
http://arxiv.org/abs/2008.03555v1
• [cs.CV]Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification
Daniel de Marchi, Amarjit Budhiraja
http://arxiv.org/abs/2008.03646v1
• [cs.CV]Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
Fangqiang Ding, Changhong Fu, Yiming Li, Jin Jin, Chen Feng
http://arxiv.org/abs/2008.03915v1
• [cs.CV]Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
Weifeng Ma, Zhe Chen, Caoting Ji
http://arxiv.org/abs/2008.03706v1
• [cs.CV]Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian
http://arxiv.org/abs/2008.04031v1
• [cs.CV]Cross-modal Center Loss
Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian
http://arxiv.org/abs/2008.03561v1
• [cs.CV]DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng
http://arxiv.org/abs/2008.03912v1
• [cs.CV]Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
Timo Hinzmann, Tobias Stegemann, Cesar Cadena, Roland Siegwart
http://arxiv.org/abs/2008.04197v1
• [cs.CV]Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
Zhenzhen Wang, Weixiang Hong, Junsong Yuan
http://arxiv.org/abs/2008.03973v1
• [cs.CV]Deep Sketch-guided Cartoon Video Synthesis
Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
http://arxiv.org/abs/2008.04149v1
• [cs.CV]Deep learning for photoacoustic imaging: a survey
Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao
http://arxiv.org/abs/2008.04221v1
• [cs.CV]Depth image denoising using nuclear norm and learning graph model
Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang
http://arxiv.org/abs/2008.03741v1
• [cs.CV]Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri
http://arxiv.org/abs/2008.04200v1
• [cs.CV]Domain Private and Agnostic Feature for Modality Adaptive Face Recognition
Yingguo Xu, Lei Zhang, Qingyan Duan
http://arxiv.org/abs/2008.03848v1
• [cs.CV]Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
http://arxiv.org/abs/2008.04047v1
• [cs.CV]Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild
Jichao Zhang, Jingjing Chen, Hao Tang, Wei Wang, Yan Yan, Enver Sangineto, Nicu Sebe
http://arxiv.org/abs/2008.03834v1
• [cs.CV]Feature Space Augmentation for Long-Tailed Data
Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling
http://arxiv.org/abs/2008.03673v1
• [cs.CV]Flow-Guided Attention Networks for Video-Based Person Re-Identification
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
http://arxiv.org/abs/2008.03788v1
• [cs.CV]Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis Gonzalez, Munchurl Kim
http://arxiv.org/abs/2008.03633v1
• [cs.CV]Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh
http://arxiv.org/abs/2008.03553v1
• [cs.CV]From Rain Removal to Rain Generation
Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng
http://arxiv.org/abs/2008.03580v1
• [cs.CV]From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems
Chayma Zatout, Slimane Larabi
http://arxiv.org/abs/2008.03685v1
• [cs.CV]Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain
Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe
http://arxiv.org/abs/2008.03697v1
• [cs.CV]HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
http://arxiv.org/abs/2008.03997v1
• [cs.CV]HASeparator: Hyperplane-Assisted Softmax
Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos
http://arxiv.org/abs/2008.03539v1
• [cs.CV]Hard Class Rectification for Domain Adaptation
Zhang Yunlong, Jing Changxing, Lin Huangxing, Chen Chaoqi, Huang Yue, Ding Xinghao, Zou Yang
http://arxiv.org/abs/2008.03455v1
• [cs.CV]Hard Negative Samples Emphasis Tracker without Anchors
Zhongzhou Zhang, Lei Zhang
http://arxiv.org/abs/2008.03512v1
• [cs.CV]Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification
Zhipu Liu, Lei Zhang, Yang Yang
http://arxiv.org/abs/2008.03509v1
• [cs.CV]How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian Reid
http://arxiv.org/abs/2008.03533v1
• [cs.CV]Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data
Thomas Truong, Jonathan Graf, Svetlana Yanushkevich
http://arxiv.org/abs/2008.03353v1
• [cs.CV]I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
Gyeongsik Moon, Kyoung Mu Lee
http://arxiv.org/abs/2008.03713v1
• [cs.CV]IF-Net: An Illumination-invariant Feature Network
Po-Heng Chen, Zhao-Xu Luo, Zu-Kuan Huang, Chun Yang, Kuan-Wen Chen
http://arxiv.org/abs/2008.03897v1
• [cs.CV]Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise
Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
http://arxiv.org/abs/2008.04114v1
• [cs.CV]Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
Hongchen Tan, Yuhao Bian, Huasheng Wang, Xiuping Liu, Baocai Yin
http://arxiv.org/abs/2008.04010v1
• [cs.CV]Invertible Neural BRDF for Object Inverse Rendering
Zhe Chen, Shohei Nobuhara, Ko Nishino
http://arxiv.org/abs/2008.04030v1
• [cs.CV]LPMNet: Latent Part Modification and Generation for 3D Point Clouds
Cihan Öngün, Alptekin Temizel
http://arxiv.org/abs/2008.03560v1
• [cs.CV]Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
http://arxiv.org/abs/2008.04168v1
• [cs.CV]Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs
Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu
http://arxiv.org/abs/2008.03922v1
• [cs.CV]Learning CNN filters from user-drawn image markers for coconut-tree image classification
Itaalos Estilon de Souza, Alexandre X. Falcão
http://arxiv.org/abs/2008.03549v1
• [cs.CV]Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking
Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu, Changjing Liu, Peng Lu
http://arxiv.org/abs/2008.03704v1
• [cs.CV]LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu
http://arxiv.org/abs/2008.03694v1
• [cs.CV]MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Hongchen Tan, Xiuping Liu, Shengjing Tian, Baocai Yin, Xin Li
http://arxiv.org/abs/2008.04015v1
• [cs.CV]Measuring shape relations using r-parallel sets
Hans JT Stephensen, Anne Marie Svane, Carlos Benitez, Steven A. Goldman, Jon Sporring
http://arxiv.org/abs/2008.03927v1
• [cs.CV]Meta Feature Modulator for Long-tailed Recognition
Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng
http://arxiv.org/abs/2008.03428v1
• [cs.CV]Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo, Qijiang Xu, Huiming Zhang, Zhizhong Wang, Haibo Chen, Ailin Li, Lei Zhao, Wei Xing, Dongming Lu
http://arxiv.org/abs/2008.03529v1
• [cs.CV]NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu, Zaid Al-Ars, Peter Hofstee
http://arxiv.org/abs/2008.03515v1
• [cs.CV]Neural Light Transport for Relighting and View Synthesis
Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman
http://arxiv.org/abs/2008.03806v1
• [cs.CV]Neural Reflectance Fields for Appearance Acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
http://arxiv.org/abs/2008.03824v1
• [cs.CV]Nighttime Dehazing with a Synthetic Benchmark
Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao
http://arxiv.org/abs/2008.03864v1
• [cs.CV]Online Extrinsic Camera Calibration for Temporally Consistent IPM Using Lane Boundary Observations with a Lane Width Prior
Jeong-Kyun Lee, Young-Ki Baik, Hankyu Cho, Seungwoo Yoo
http://arxiv.org/abs/2008.03722v1
• [cs.CV]Online Multi-modal Person Search in Videos
Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin
http://arxiv.org/abs/2008.03546v1
• [cs.CV]PAN: Towards Fast Action Recognition via Learning Persistence of Appearance
Can Zhang, Yuexian Zou, Guang Chen, Lei Gan
http://arxiv.org/abs/2008.03462v1
• [cs.CV]Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation
Shijie Li, Yun Liu, Juergen Gall
http://arxiv.org/abs/2008.03928v1
• [cs.CV]Prototype Mixture Models for Few-shot Semantic Segmentation
Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye
http://arxiv.org/abs/2008.03898v1
• [cs.CV]RPT: Learning Point Set Representation for Siamese Visual Tracking
Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin
http://arxiv.org/abs/2008.03467v1
• [cs.CV]Radar-based Dynamic Occupancy Grid Mapping and Object Detection
Christopher Diehl, Eduard Feicho, Alexander Schwambach, Thomas Dammeier, Eric Mares, Torsten Bertram
http://arxiv.org/abs/2008.03696v1
• [cs.CV]Recurrent Feature Reasoning for Image Inpainting
Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao
http://arxiv.org/abs/2008.03737v1
• [cs.CV]Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang
http://arxiv.org/abs/2008.03791v1
• [cs.CV]Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang
http://arxiv.org/abs/2008.04021v1
• [cs.CV]RocNet: Recursive Octree Network for Efficient 3D Deep Representation
Juncheng Liu, Steven Mills, Brendan McCane
http://arxiv.org/abs/2008.03875v1
• [cs.CV]SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Haoran Duan, Shidong Wang, Yu Guan
http://arxiv.org/abs/2008.03723v1
• [cs.CV]Self-Supervised Learning of Audio-Visual Objects from Video
Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman
http://arxiv.org/abs/2008.04237v1
• [cs.CV]SemEval-2020 Task 8: Memotion Analysis — The Visuo-Lingual Metaphor!
Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Bjorn Gamback
http://arxiv.org/abs/2008.03781v1
• [cs.CV]Single-Shot Two-Pronged Detector with Rectified IoU Loss
Keyang Wang, Lei Zhang
http://arxiv.org/abs/2008.03511v1
• [cs.CV]Spatiotemporal Contrastive Video Representation Learning
Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui
http://arxiv.org/abs/2008.03800v1
• [cs.CV]SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder
http://arxiv.org/abs/2008.04017v1
• [cs.CV]T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, Simon S. Woo
http://arxiv.org/abs/2008.04115v1
• [cs.CV]Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation
Baozhou Zhu Zaid Al-Ars, Wei Pan
http://arxiv.org/abs/2008.03520v1
• [cs.CV]Tracking in Crowd is Challenging: Analyzing Crowd based on Physical Characteristics
Constantinou Miti, Demetriou Zatte, Siraj Sajid Gondal
http://arxiv.org/abs/2008.03614v1
• [cs.CV]Two-branch Recurrent Network for Isolating Deepfakes in Videos
Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed
http://arxiv.org/abs/2008.03412v1
• [cs.CV]Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh
http://arxiv.org/abs/2008.03522v1
• [cs.CV]Unsupervised Deep-Learning Based Deformable Image Registration: A Bayesian Framework
Samah Khawaled, Moti Freiman
http://arxiv.org/abs/2008.03949v1
• [cs.CV]Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
Xudong Wang, Ziwei Liu, Stella X. Yu
http://arxiv.org/abs/2008.03813v1
• [cs.CV]Using UNet and PSPNet to explore the reusability principle of CNN parameters
Wei Wang
http://arxiv.org/abs/2008.03414v1
• [cs.CV]VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
Yan Xia, Yusheng Xu, Cheng Wang, Uwe Stilla
http://arxiv.org/abs/2008.03404v1
• [cs.CV]Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
Yiheng Liu, Wengang Zhou, Mao Xi, Sanjing Shen, Houqiang Li
http://arxiv.org/abs/2008.04146v1
• [cs.CY]A novel hand-held interface supporting the self-management of Type 1 diabetes
Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou
http://arxiv.org/abs/2008.03550v1
• [cs.CY]Agricultural Knowledge Management Using Smart Voice Messaging Systems: Combination of Physical and Human Sensors
Naoshi Uchihira, Masami Yoshida
http://arxiv.org/abs/2008.03711v1
• [cs.CY]Anxiety Detection Leveraging Mobile Passive Sensing
Lionel Levine, Migyeong Gwak, Kimmo Karkkainen, Shayan Fazeli, Bita Zadeh, Tara Peris, Alexander Young, Majid Sarrafzadeh
http://arxiv.org/abs/2008.03810v1
• [cs.CY]COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin
http://arxiv.org/abs/2008.04285v1
• [cs.CY]Mining and Analyzing Patron’s Book-Loan Data and University Data to Understand Library Use Patterns
Tipawan Silwattananusarn, Pachisa Kulkanjanapiban
http://arxiv.org/abs/2008.03545v1
• [cs.CY]PolicyKit: Building Governance in Online Communities
Amy X. Zhang, Grant Hugh, Michael S. Bernstein
http://arxiv.org/abs/2008.04236v1
• [cs.CY]Service Ecosystem: A Lens of Smart Society
Xiao Xue, ZhiYong Feng, ShiZhan Chen, ZhangBing Zhou, ChengZhi Qin, Bing Li, ZhongJie Wang, Bin Hu, HongYue Wu, ShuFang Wang, Lu Zhang
http://arxiv.org/abs/2008.03418v1
• [cs.CY]Tactics for Internal Compliance: A Literature Review
Ralph Foorthuis
http://arxiv.org/abs/2008.03775v1
• [cs.CY]The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support
Kate O’Leary, Elvira Perez Vallejos, Neil Coulson, Derek McAuley
http://arxiv.org/abs/2008.03541v1
• [cs.CY]Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires
Paige Maas, Zack Almquist, Eugenia Giraudy, JW Schneider
http://arxiv.org/abs/2008.03665v1
• [cs.DC]BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
Leonid B. Sokolinsky
http://arxiv.org/abs/2008.03485v1
• [cs.DC]Coloring Fast Without Learning Your Neighbors’ Colors
Magnus M. Halldorsson, Fabian Kuhn, Yannic Maus, Alexandre Nolin
http://arxiv.org/abs/2008.04303v1
• [cs.DC]Communication Efficient Self-Stabilizing Leader Election (Full Version)
Xavier Défago, Yuval Emek, Shay Kutten, Toshimitsu Masuzawa, Yasumasa Tamura
http://arxiv.org/abs/2008.04252v1
• [cs.DC]Concurrent Fixed-Size Allocation and Free in Constant Time
Guy E. Blelloch, Yuanhao Wei
http://arxiv.org/abs/2008.04296v1
• [cs.DC]ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms
Laxman Dhulipala, Changwan Hong, Julian Shun
http://arxiv.org/abs/2008.03909v1
• [cs.DC]Improved Bounds for Distributed Load Balancing
Sepehr Assadi, Aaron Bernstein, Zachary Langley
http://arxiv.org/abs/2008.04148v1
• [cs.DC]Making Byzantine Consensus Live (Extended Version)
Manuel Bravo, Gregory Chockler, Alexey Gotsman
http://arxiv.org/abs/2008.04167v1
• [cs.DC]Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
Luke Lockhart, Paul Harvey, Pierre Imai, Peter Willis, Blesson Varghese
http://arxiv.org/abs/2008.03523v1
• [cs.DC]Towards a Reference Architecture Model for Industrial Edge Computing
Alexander Willner, Varun Gowtham
http://arxiv.org/abs/2008.04164v1
• [cs.DC]TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests
Naorin Hossain, Caroline Trippel, Margaret Martonosi
http://arxiv.org/abs/2008.03578v1
• [cs.DL]Navigating the landscape of COVID-19 research through literature analysis: A bird’s eye view
Lana Yeganova, Rezarta Islamaj, Qingyu Chen, Robert Leaman, Alexis Allot, Chin-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu
http://arxiv.org/abs/2008.03397v1
• [cs.DL]The Role of Positive and Negative Citations in Scientific Evaluation
Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia
http://arxiv.org/abs/2008.03844v1
• [cs.GR]Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning
Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle
http://arxiv.org/abs/2008.03669v1
• [cs.HC]Social Interactions Clustering MOOC Students: An Exploratory Study
Lei Shi, Alexandra Cristea, Ahmad Alamri, Armando M. Toda, Wilk Oliveira
http://arxiv.org/abs/2008.03982v1
• [cs.IR]Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides, Evangelos Kanoulas
http://arxiv.org/abs/2008.03717v1
• [cs.IR]Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhour, LiWen Fan
http://arxiv.org/abs/2008.03917v1
• [cs.IR]Diverse Group Formation Based on Multiple Demographic Features
Mohammed Alqahtani, Susan Gauch, Omar Salman, Mohammed Ibrahim, Reem Al-Saffar
http://arxiv.org/abs/2008.03808v1
• [cs.IR]Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
Manel Slokom, Martha Larson, Alan Hanjalic
http://arxiv.org/abs/2008.03797v1
• [cs.IR]Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
http://arxiv.org/abs/2008.04185v1
• [cs.IT]A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals
Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic
http://arxiv.org/abs/2008.04145v1
• [cs.IT]Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
Xuemei Yi, Caijun Zhong
http://arxiv.org/abs/2008.03977v1
• [cs.IT]Double Blind $T$-Private Information Retrieval
Yuxiang Lu, Zhuqing Jia, Syed A. Jafar
http://arxiv.org/abs/2008.03828v1
• [cs.IT]Fundamental Limits of Caching for Demand Privacy against Colluding Users
Qifa Yan, Daniela Tuninetti
http://arxiv.org/abs/2008.03642v1
• [cs.IT]New Constructions of MDS Twisted Reed-Solomon Codes and LCD MDS Codes
Hongwei Liu, Shengwei Liu
http://arxiv.org/abs/2008.03708v1
• [cs.IT]Opportunistic Cooperation Strategies for Multiple Access Relay Channels with Compute-and-Forward
Mohammad Nur Hasan, Brian M. Kurkoski
http://arxiv.org/abs/2008.03437v1
• [cs.IT]Parameter estimation in the SIR model from early infections
Charles Clum, Dustin G. Mixon
http://arxiv.org/abs/2008.04286v1
• [cs.IT]Robust Design for NOMA-based Multi-Beam LEO Satellite Internet of Things
Jianhang Chu, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
http://arxiv.org/abs/2008.03868v1
• [cs.IT]Sketching semidefinite programs for faster clustering
Dustin G. Mixon, Kaiying Xie
http://arxiv.org/abs/2008.04270v1
• [cs.LG]A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
http://arxiv.org/abs/2008.03543v1
• [cs.LG]A Survey on Large-scale Machine Learning
Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu
http://arxiv.org/abs/2008.03911v1
• [cs.LG]A novel residual whitening based training to avoid overfitting
Anand Ramakrishnan, Warren B. Jackson, Kent Evans
http://arxiv.org/abs/2008.03582v1
• [cs.LG]ARCADe: A Rapid Continual Anomaly Detector
Ahmed Frikha, Denis Krompaß, Volker Tresp
http://arxiv.org/abs/2008.04042v1
• [cs.LG]Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
http://arxiv.org/abs/2008.03961v1
• [cs.LG]Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach
Manie Tadayon, Greg Pottie
http://arxiv.org/abs/2008.03825v1
• [cs.LG]Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
Anjin Liu, Jie Lu, Guangquan Zhang
http://arxiv.org/abs/2008.03662v1
• [cs.LG]EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
Jonas Rauber, Matthias Bethge, Wieland Brendel
http://arxiv.org/abs/2008.04175v1
• [cs.LG]Feature Ranking for Semi-supervised Learning
Matej Petković, Sašo Džeroski, Dragi Kocev
http://arxiv.org/abs/2008.03937v1
• [cs.LG]GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John T. Halloran, David M. Rocke
http://arxiv.org/abs/2008.03433v1
• [cs.LG]HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
http://arxiv.org/abs/2008.04063v1
• [cs.LG]Improving the Speed and Quality of GAN by Adversarial Training
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh
http://arxiv.org/abs/2008.03364v1
• [cs.LG]Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
http://arxiv.org/abs/2008.04254v1
• [cs.LG]Intelligent Matrix Exponentiation
Thomas Fischbacher, Iulia M. Comsa, Krzysztof Potempa, Moritz Firsching, Luca Versari, Jyrki Alakuijala
http://arxiv.org/abs/2008.03936v1
• [cs.LG]Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
Bo Wang, Yue Wu, Niall Taylor, Terry Lyons, Maria Liakata, Alejo J Nevado-Holgado, Kate E A Saunders
http://arxiv.org/abs/2008.03408v1
• [cs.LG]Lenient Regret for Multi-Armed Bandits
Nadav Merlis, Shie Mannor
http://arxiv.org/abs/2008.03959v1
• [cs.LG]Lie PCA: Density estimation for symmetric manifolds
Jameson Cahill, Dustin G. Mixon, Hans Parshall
http://arxiv.org/abs/2008.04278v1
• [cs.LG]LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
http://arxiv.org/abs/2008.03371v1
• [cs.LG]Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
http://arxiv.org/abs/2008.03606v1
• [cs.LG]Non-Adversarial Imitation Learning and its Connections to Adversarial Methods
Oleg Arenz, Gerhard Neumann
http://arxiv.org/abs/2008.03525v1
• [cs.LG]Nyström Approximation with Nonnegative Matrix Factorization
Yongquan Fu
http://arxiv.org/abs/2008.03399v1
• [cs.LG]Partitioning signal classes using transport transforms for data analysis and machine learning
Akram Aldroubi, Shiying Li, Gustavo K. Rohde
http://arxiv.org/abs/2008.03452v1
• [cs.LG]RARTS: a Relaxed Architecture Search Method
Fanghui Xue, Yingyong Qi, Jack Xin
http://arxiv.org/abs/2008.03901v1
• [cs.LG]Review of Swarm Intelligence-based Feature Selection Methods
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
http://arxiv.org/abs/2008.04103v1
• [cs.LG]Testing Determinantal Point Processes
Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka
http://arxiv.org/abs/2008.03650v1
• [cs.LG]Using Experts’ Opinions in Machine Learning Tasks
Amir Fazelinia, Issa Annamoradnejad, Jafar Habibi
http://arxiv.org/abs/2008.04216v1
• [cs.LG]What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
http://arxiv.org/abs/2008.03703v1
• [cs.LG]Why to “grow” and “harvest” deep learning models?
Ilona Kulikovskikh, Tarzan Legović
http://arxiv.org/abs/2008.03501v1
• [cs.LO]Proof-Carrying Plans: a Resource Logic for AI Planning
Alasdair Hill, Ekaterina Komendantskaya, Ronald P. A. Petrick
http://arxiv.org/abs/2008.04165v1
• [cs.NE]DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
http://arxiv.org/abs/2008.03658v1
• [cs.NE]Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
Ali Hakem Alsaeedi, Adil L. Albukhnefis, Dhiah Al-Shammary, Muntasir Al-Asfoor
http://arxiv.org/abs/2008.03530v1
• [cs.NE]Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
http://arxiv.org/abs/2008.03620v1
• [cs.NE]Protein Structured Reservoir computing for Spike-based Pattern Recognition
Karolos-Alexandros Tsakalos, Georgios Ch. Sirakoulis, Andrew Adamatzky, Jim Smith
http://arxiv.org/abs/2008.03330v1
• [cs.NE]Spatial Sharing of GPU for Autotuning DNN models
Aditya Dhakal, Junguk Cho, Sameer G. Kulkarni, K. K. Ramakrishnan, Puneet Sharma
http://arxiv.org/abs/2008.03602v1
• [cs.NE]Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
Maryam Hasani Shoreh, Renato Hermoza Aragonés, Frank Neumann
http://arxiv.org/abs/2008.04002v1
• [cs.NE]Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Sandro Baumgartner, Alpha Renner, Raphaela Kreiser, Dongchen Liang, Giacomo Indiveri, Yulia Sandamirskaya
http://arxiv.org/abs/2008.03470v1
• [cs.PL]Code Building Genetic Programming
Edward Pantridge, Lee Spector
http://arxiv.org/abs/2008.03649v1
• [cs.RO]Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
Yuanfeng Han, Ruixin Li, Gregory S. Chirikjian
http://arxiv.org/abs/2008.03801v1
• [cs.RO]Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization
Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu
http://arxiv.org/abs/2008.03826v1
• [cs.RO]Cyrus 2D Simulation Team Description Paper2018
Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari
http://arxiv.org/abs/2008.03456v1
• [cs.RO]Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning
Zichao Zhang, Davide Scaramuzza
http://arxiv.org/abs/2008.03324v1
• [cs.RO]Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space
RB Ashith Shyam, Zhou Hao, Umberto Montanaro, Gerhard Neumann
http://arxiv.org/abs/2008.04007v1
• [cs.RO]Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
Lei Zheng, Jiesen Pan, Rui Yang, Hui Cheng, Haifeng Hu
http://arxiv.org/abs/2008.03421v1
• [cs.RO]Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone
http://arxiv.org/abs/2008.03880v1
• [cs.RO]Neural Manipulation Planning on Constraint Manifolds
Ahmed H. Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip
http://arxiv.org/abs/2008.03787v1
• [cs.RO]TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors
Hongkai Ye, Xin Zhou, Chao Xu, Jian Chu, Fei Gao
http://arxiv.org/abs/2008.03468v1
• [cs.RO]The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
Carlo Rizzardo, Sunny Katyara, Miguel Fernandes, Fei Chen
http://arxiv.org/abs/2008.03983v1
• [cs.RO]TriFinger: An Open-Source Robot for Learning Dexterity
Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer
http://arxiv.org/abs/2008.03596v1
• [cs.RO]Variable Stiffness Control with Strict Frequency Domain Constraints for Physical Human-Robot Interaction
Wulin Zou, Pu Duan, Yawen Chen, Ningbo Yu, Ling Shi
http://arxiv.org/abs/2008.03663v1
• [cs.SD]A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration
Noman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga Samarasinghe, Thushara Abhayapala
http://arxiv.org/abs/2008.03513v1
• [cs.SD]Metric Learning vs Classification for Disentangled Music Representation Learning
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
http://arxiv.org/abs/2008.03729v1
• [cs.SI]A Random Growth Model with any Real or Theoretical Degree Distribution
Frédéric Giroire, Stéphane Pérennes, Thibaud Trolliet
http://arxiv.org/abs/2008.03831v1
• [cs.SI]Adversarial Directed Graph Embedding
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He
http://arxiv.org/abs/2008.03667v1
• [cs.SI]Analysing Networks of Networks
Johan Koskinen, Pete Jones, Darkhan Medeuov, Artem Antonyuk, Kseniia Puzyreva, Nikita Basov
http://arxiv.org/abs/2008.03692v1
• [cs.SI]Behavioral Modeling of Persian Instagram Users to detect Bots
Muhammad Bazm, Masoud Asadpour
http://arxiv.org/abs/2008.03951v1
• [cs.SI]Big Networks: A Survey
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
http://arxiv.org/abs/2008.03638v1
• [cs.SI]Clustering Network Tree Data From Respondent-driven sampling with application to opioid users in New York City
Shuaimin Kang, Krista Gile, Pedro Mateu-Gelabert, Honoria Guarino
http://arxiv.org/abs/2008.03604v1
• [cs.SI]Data-driven Inferences of Agency-level Risk and Response Communication on COVID-19 through Social Media based Interactions
Md Ashraf Ahmed, Arif Mohaimin Sadri, M. Hadi Amini
http://arxiv.org/abs/2008.03866v1
• [cs.SI]Extracting Backbones in Weighted Modular Complex Networks
Zakariya Ghalmane, Chantal Cherifi, Hocine Cherifi, Mohammed El Hassouni
http://arxiv.org/abs/2008.03383v1
• [cs.SI]ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
Yi Xie, Yun Xiong, Yangyong Zhu
http://arxiv.org/abs/2008.03970v1
• [cs.SI]MODEL: Motif-based Deep Feature Learning for Link Prediction
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
http://arxiv.org/abs/2008.03637v1
• [cs.SI]Multivariate Relations Aggregation Learning in Social Networks
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
http://arxiv.org/abs/2008.03654v1
• [cs.SI]Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
http://arxiv.org/abs/2008.03450v1
• [cs.SI]Prediction Methods and Applications in the Science of Science: A Survey
Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia
http://arxiv.org/abs/2008.03640v1
• [cs.SI]Random Walks: A Review of Algorithms and Applications
Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
http://arxiv.org/abs/2008.03639v1
• [cs.SI]Robust Bayesian inference of network structure from unreliable data
Jean-Gabriel Young, George T. Cantwell, M. E. J. Newman
http://arxiv.org/abs/2008.03334v1
• [cs.SI]Storyline Visualizations with Ubiquitous Actors
Emilio Di Giacomo, Walter Didimo, Giuseppe Liotta, Fabrizio Montecchiani, Alessandra Tappini
http://arxiv.org/abs/2008.04125v1
• [econ.EM]Machine Learning Panel Data Regressions with an Application to Nowcasting Price Earnings Ratios
Andrii Babii, Ryan T. Ball, Eric Ghysels, Jonas Striaukas
http://arxiv.org/abs/2008.03600v1
• [econ.EM]Nonparametric prediction with spatial data
Abhimanyu Gupta, Javier Hidalgo
http://arxiv.org/abs/2008.04269v1
• [econ.TH]Purely Bayesian counterfactuals versus Newcomb’s paradox
Lê Nguyên Hoang
http://arxiv.org/abs/2008.04256v1
• [eess.AS]A New Approach to Accent Recognition and Conversion for Mandarin Chinese
Lin Ai, Shih-Ying Jeng, Homayoon Beigi
http://arxiv.org/abs/2008.03359v1
• [eess.AS]Accurate Detection of Wake Word Start and End Using a CNN
Christin Jose, Yuriy Mishchenko, Thibaud Senechal, Anish Shah, Alex Escott, Shiv Vitaladevuni
http://arxiv.org/abs/2008.03790v1
• [eess.AS]Audio Spoofing Verification using Deep Convolutional Neural Networks by Transfer Learning
Rahul T P, P R Aravind, Ranjith C, Usamath Nechiyil, Nandakumar Paramparambath
http://arxiv.org/abs/2008.03464v1
• [eess.AS]Deep F-measure Maximization for End-to-End Speech Understanding
Leda Sarı, Mark Hasegawa-Johnson
http://arxiv.org/abs/2008.03425v1
• [eess.AS]Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
Yeunju Choi, Youngmoon Jung, Hoirin Kim
http://arxiv.org/abs/2008.03710v1
• [eess.AS]Disentangled Multidimensional Metric Learning for Music Similarity
Jongpil Lee, Nicholas J. Bryan, Justin Salamon, Zeyu Jin, Juhan Nam
http://arxiv.org/abs/2008.03720v1
• [eess.AS]Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
Vijay Ravi, Ruchao Fan, Amber Afshan, Huanhua Lu, Abeer Alwan
http://arxiv.org/abs/2008.03615v1
• [eess.AS]Extrapolating false alarm rates in automatic speaker verification
Alexey Sholokhov, Tomi Kinnunen, Ville Vestman, Kong Aik Lee
http://arxiv.org/abs/2008.03590v1
• [eess.AS]JukeBox: A Multilingual Singer Recognition Dataset
Anurag Chowdhury, Austin Cozzo, Arun Ross
http://arxiv.org/abs/2008.03507v1
• [eess.AS]LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition
Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
http://arxiv.org/abs/2008.03687v1
• [eess.AS]Speaker discrimination in humans and machines: Effects of speaking style variability
Amber Afshan, Jody Kreiman, Abeer Alwan
http://arxiv.org/abs/2008.03617v1
• [eess.AS]Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
Sefik Emre Eskimez, You Zhang, Zhiyao Duan
http://arxiv.org/abs/2008.03592v1
• [eess.AS]SpeedySpeech: Efficient Neural Speech Synthesis
Jan Vainer, Ondřej Dušek
http://arxiv.org/abs/2008.03802v1
• [eess.AS]TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana
http://arxiv.org/abs/2008.04245v1
• [eess.AS]VAW-GAN for Singing Voice Conversion with Non-parallel Training Data
Junchen Lu, Kun Zhou, Berrak Sisman, Haizhou Li
http://arxiv.org/abs/2008.03992v1
• [eess.AS]Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification
Amber Afshan, Jinxi Guo, Soo Jin Park, Vijay Ravi, Alan McCree, Abeer Alwan
http://arxiv.org/abs/2008.03616v1
• [eess.AS]Word Error Rate Estimation Without ASR Output: e-WER2
Ahmed Ali, Steve Renals
http://arxiv.org/abs/2008.03403v1
• [eess.IV]A methodology for the measurement of track geometry based on computer vision and inertial sensors
José L. Escalona
http://arxiv.org/abs/2008.03763v1
• [eess.IV]A model-guided deep network for limited-angle computed tomography
Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei
http://arxiv.org/abs/2008.03988v1
• [eess.IV]An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI
Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
http://arxiv.org/abs/2008.04024v1
• [eess.IV]Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
Wang Jian, Miao Juzheng, Yang Xin, Li Rui, Zhou Guangquan, Huang Yuhao, Lin Zehui, Xue Wufeng, Jia Xiaohong, Zhou Jianqiao, Huang Ruobing, Ni Dong
http://arxiv.org/abs/2008.03435v1
• [eess.IV]Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang
http://arxiv.org/abs/2008.03483v1
• [eess.IV]Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum
Hongwei Li, Aurore Menegaux, Felix JB Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern Menze, Dennis Hedderich
http://arxiv.org/abs/2008.03465v1
• [eess.IV]Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT
Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Išgum
http://arxiv.org/abs/2008.03985v1
• [eess.IV]Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection
Bowen Jiang, Maohao Shen
http://arxiv.org/abs/2008.03440v1
• [eess.IV]Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
http://arxiv.org/abs/2008.03632v1
• [eess.IV]Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes
http://arxiv.org/abs/2008.04139v1
• [eess.IV]Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui
http://arxiv.org/abs/2008.03765v1
• [eess.IV]Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
Dingquan Li, Tingting Jiang, Ming Jiang
http://arxiv.org/abs/2008.03889v1
• [eess.IV]Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
Renwei Dian, Shutao Li, Bin Sun, Anjing Guo
http://arxiv.org/abs/2008.03426v1
• [eess.IV]Representation Learning via Cauchy Convolutional Sparse Coding
Perla Mayo, Oktay Karakuş, Robin Holmes, Alin Achim
http://arxiv.org/abs/2008.03473v1
• [eess.IV]Switching Loss for Generalized Nucleus Detection in Histopathology
Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
http://arxiv.org/abs/2008.03750v1
• [eess.IV]Using PSPNet and UNet to analyze the internal parameter relationship and visualization of the convolutional neural network
Wei Wang
http://arxiv.org/abs/2008.03411v1
• [eess.IV]X-Ray bone abnormalities detection using MURA dataset
A. Solovyova, I. Solovyov
http://arxiv.org/abs/2008.03356v1
• [eess.SP]A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
Chirag Raman, Stephanie Tan, Hayley Hung
http://arxiv.org/abs/2008.03715v1
• [eess.SP]DFT-spread-OFDM Based Chirp Transmission
Alphan Sahin, Nozhan Hosseini, Hosseinali Jamal, David W. Matolak
http://arxiv.org/abs/2008.03766v1
• [eess.SP]Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback
Kyeongbo Kong, Woo-Jin Song, Moonsik Min
http://arxiv.org/abs/2008.04147v1
• [eess.SP]Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Linhai Ma, Liang Liang
http://arxiv.org/abs/2008.03609v1
• [eess.SP]Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios
Rakshit Ramesh, Aaron John-Sabu, Harshitha S, Siddarth Ramesh, Vishwas Navada B, Mukunth Arunachalam, Bharadwaj Amrutur
http://arxiv.org/abs/2008.04248v1
• [eess.SP]Rounded Hartley Transform: A Quasi-involution
R. J. Cintra, H. M. de Oliveira, C. O. Cintra
http://arxiv.org/abs/2008.03379v1
• [eess.SP]Two-Stage Clustering of Household Electricity Load Shapes based on Temporal Pattern & Peak Demand
Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry
http://arxiv.org/abs/2008.04293v1
• [eess.SP]Viral Aerosol Concentration Characterization and Detection in Bounded Environments
Osama Amin, Hayssam Dahrouj, Nojood Almayouf, Tareq Y. Al-Naffouri, Basem Shihada, Mohamed-Slim Alouini
http://arxiv.org/abs/2008.04218v1
• [eess.SY]Deterministic error bounds for kernel-based learning techniques under bounded noise
Emilio T. Maddalena, Paul Scharnhorst, Colin N. Jones
http://arxiv.org/abs/2008.04005v1
• [eess.SY]From private to public governance: The case for reconfiguring energy systems as a commons
Chris Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan
http://arxiv.org/abs/2008.04028v1
• [eess.SY]Maneuvering and robustness issues in undirected displacement-consensus-based formation control
Hector Garcia de Marina
http://arxiv.org/abs/2008.03544v1
• [eess.SY]One for Many: Transfer Learning for Building HVAC Control
Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O’Neill, Qi Zhu
http://arxiv.org/abs/2008.03625v1
• [hep-ex]Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
http://arxiv.org/abs/2008.03601v1
• [math.CO]On construction and (non)existence of $c$-(almost) perfect nonlinear functions
Daniele Bartoli, Marco Calderini
http://arxiv.org/abs/2008.03953v1
• [math.NA]Generalization error of minimum weighted norm and kernel interpolation
Weilin Li
http://arxiv.org/abs/2008.03365v1
• [math.OC]An improved convergence analysis for decentralized online stochastic non-convex optimization
Ran Xin, Usman A. Khan, Soummya Kar
http://arxiv.org/abs/2008.04195v1
• [math.OC]Convex Q-Learning, Part 1: Deterministic Optimal Control
Prashant G. Mehta, Sean P. Meyn
http://arxiv.org/abs/2008.03559v1
• [math.OC]Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance
Li Xia
http://arxiv.org/abs/2008.03707v1
• [math.ST]A Note on Likelihood Ratio Tests for Models with Latent Variables
Yunxiao Chen, Irini Moustaki, Haoran Zhang
http://arxiv.org/abs/2008.03971v1
• [math.ST]Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
F. Richard Guo, Emilija Perković
http://arxiv.org/abs/2008.03481v1
• [math.ST]Exact log-likelihood for clustering parameterised models and normally distributed data
Anthony J. Webster
http://arxiv.org/abs/2008.03974v1
• [math.ST]Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes
Michaël Lalancette, Sebastian Engelke, Stanislav Volgushev
http://arxiv.org/abs/2008.03349v1
• [math.ST]Statistical Query Lower Bounds for Tensor PCA
Rishabh Dudeja, Daniel Hsu
http://arxiv.org/abs/2008.04101v1
• [math.ST]Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices
Xiucai Ding, Fan Yang
http://arxiv.org/abs/2008.04166v1
• [physics.comp-ph]Optimal Bayesian experimental design for subsurface flow problems
Alexander Tarakanov, Ahmed H. Elsheikh
http://arxiv.org/abs/2008.03989v1
• [physics.comp-ph]Representative elementary volume via averaged scalar Minkowski functionals
M. V. Andreeva, A. V. Kalyuzhnyuk, V. V. Krutko, N. E. Russkikh, I. A. Taimanov
http://arxiv.org/abs/2008.03727v1
• [q-bio.NC]When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm
Audrey Bürki, F. -Xavier Alario, Shravan Vasishth
http://arxiv.org/abs/2008.03972v1
• [q-bio.QM]An AI-powered blood test to detect cancer using nanoDSF
Philipp O. Tsvetkov, Rémi Eyraud, Stéphane Ayache, Anton A. Bougaev, Soazig Malesinski, Hamed Benazha, Svetlana Gorokhova, Christophe Buffat, Caroline Dehais, Marc Sanson, Franck Bielle, Dominique Figarella-Branger, Olivier Chinot, Emeline Tabouret, François Devred
http://arxiv.org/abs/2008.03493v1
• [q-bio.QM]Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang
http://arxiv.org/abs/2008.03776v1
• [q-fin.GN]Transparency versus Performance in Financial Markets: The Role of CSR Communications
Rajiv Kashyap, Mohamed Menisy, Peter Caiazzo, Jim Samuel
http://arxiv.org/abs/2008.03443v1
• [quant-ph]Global Optimum Search in Quantum Deep Learning
Lanston Hau Man Chu, Tejas Bhojraj, Rui Huang
http://arxiv.org/abs/2008.03655v1
• [quant-ph]Quantum algorithmic randomness
Tejas Bhojraj
http://arxiv.org/abs/2008.03584v1
• [stat.AP]A New Spatial Count Data Model with Time-varying Parameters
Prasad Buddhavarapu, Prateek Bansal, Jorge A. Prozzi
http://arxiv.org/abs/2008.03760v1
• [stat.AP]A robust and non-parametric model for prediction of dengue incidence
Atlanta Chakraborty, Vijay Chandru
http://arxiv.org/abs/2008.03943v1
• [stat.AP]Scalable model selection for spatial additive mixed modeling: application to crime analysis
Daisuke Murakami, Mami Kajita, Seiji Kajita
http://arxiv.org/abs/2008.03551v1
• [stat.AP]Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
Henry Wilde, Vincent Knight, Jonathan Gillard, Kendal Smith
http://arxiv.org/abs/2008.04295v1
• [stat.AP]Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
Hou-Cheng Yang, Yishu Xue, Yuqing Pan, Qingyang Liu, Guanyu Hu
http://arxiv.org/abs/2008.04284v1
• [stat.ME]A potential outcomes approach to selection bias
Eben Kenah
http://arxiv.org/abs/2008.03786v1
• [stat.ME]Community models for partially observed networks from surveys
Tianxi Li, Elizaveta Levina, Ji Zhu
http://arxiv.org/abs/2008.03652v1
• [stat.ME]Covariate Balancing by Uniform Transformer
Ruoqi Yu, Shulei Wang
http://arxiv.org/abs/2008.03738v1
• [stat.ME]Generalized Liquid Association Analysis for Multimodal Data Integration
Lexin Li, Jing Zeng, Xin Zhang
http://arxiv.org/abs/2008.03733v1
• [stat.ME]Generalized k-Means in GLMs with Applications to the Outbreak of COVID-19 in the United States
Tonglin Zhang, Ge Lin
http://arxiv.org/abs/2008.03838v1
• [stat.ME]Grouping effects of sparse CCA models in variable selection
Kefei Liu, Qi Long, Li Shen
http://arxiv.org/abs/2008.03392v1
• [stat.ME]Using Multiple Imputation to Classify Potential Outcomes Subgroups
Yun Li, Irina Bondarenko, Michael R. Elliott, Timothy P. Hofer, Jeremy M. G. Taylor
http://arxiv.org/abs/2008.04257v1
• [stat.ME]Visualization of Covariance Structures for Multivariate Spatio-Temporal Random Fields
Huang Huang, Ying Sun, Marc G. Genton
http://arxiv.org/abs/2008.03689v1
• [stat.ML]$k$-means on a log-Cholesky Manifold, with Unsupervised Classification of Radar Products
Daniel Fryer, Hien Nguyen, Pascal Castellazzi
http://arxiv.org/abs/2008.03454v1
• [stat.ML]A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris
http://arxiv.org/abs/2008.03534v1
• [stat.ML]Directed hypergraph neural network
Loc Hoang Tran, Linh Hoang Tran
http://arxiv.org/abs/2008.03626v1
• [stat.ML]Do ideas have shape? Plato’s theory of forms as the continuous limit of artificial neural networks
Houman Owhadi
http://arxiv.org/abs/2008.03920v1
• [stat.ML]Individualized Prediction of COVID-19 Adverse outcomes with MLHO
Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy
http://arxiv.org/abs/2008.03869v1
• [stat.ML]Intervention Generative Adversarial Networks
Jiadong Liang, Liangyu Zhang, Cheng Zhang, Zhihua Zhang
http://arxiv.org/abs/2008.03712v1
• [stat.ML]Modal Principal Component Analysis
Keishi Sando, Hideitsu Hino
http://arxiv.org/abs/2008.03400v1
• [stat.ML]Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
Marco Mondelli, Christos Thrampoulidis, Ramji Venkataramanan
http://arxiv.org/abs/2008.03326v1
• [stat.ML]Robust Validation: Confident Predictions Even When Distributions Shift
Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi
http://arxiv.org/abs/2008.04267v1
• [stat.ML]Spectral Algorithms for Community Detection in Directed Networks
Zhe Wang, Yingbin Liang, Pengsheng Ji