astro-ph.GA - 星系天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 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.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CA - 古典分析与常微分方程 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 physics.space-ph - 空间物理学 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.GA]DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks
• [astro-ph.IM]Robust posterior inference when statistically emulating forward simulations
• [cs.AI]A general approach to progressive intelligence
• [cs.AI]Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System
• [cs.AI]Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology
• [cs.AI]Differentiable Adaptive Computation Time for Visual Reasoning
• [cs.AI]First return then explore
• [cs.AI]GymFG: A Framework with a Gym Interface for FlightGear
• [cs.AI]Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
• [cs.AI]Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
• [cs.AI]Predicting Plans and Actions in Two-Player Repeated Games
• [cs.AI]SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
• [cs.AI]Semi-Lexical Languages — A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision
• [cs.AI]Warm-Start AlphaZero Self-Play Search Enhancements
• [cs.CC]Finding Planted Cliques in Sublinear Time
• [cs.CC]Low-Degree Hardness of Random Optimization Problems
• [cs.CL]A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
• [cs.CL]A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
• [cs.CL]All Word Embeddings from One Embedding
• [cs.CL]Assessing Discourse Relations in Language Generationfrom Pre-trained Language Models
• [cs.CL]Augmenting Transformers with KNN-Based Composite Memory for Dialogue
• [cs.CL]BLEU Neighbors: A Reference-less Approach to Automatic Evaluation
• [cs.CL]Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
• [cs.CL]ColBERT: Using BERT Sentence Embedding for Humor Detection
• [cs.CL]Collecting Entailment Data for Pretraining: New Protocols and Negative Results
• [cs.CL]Contextualized Representations Using Textual Encyclopedic Knowledge
• [cs.CL]DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
• [cs.CL]DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
• [cs.CL]Dual Learning for Semi-Supervised Natural Language Understanding
• [cs.CL]Endowing Empathetic Conversational Models with Personas
• [cs.CL]Experiments with LVT and FRE for Transformer model
• [cs.CL]GLUECoS : An Evaluation Benchmark for Code-Switched NLP
• [cs.CL]Heterogeneous Graph Neural Networks for Extractive Document Summarization
• [cs.CL]Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology
• [cs.CL]How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
• [cs.CL]Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
• [cs.CL]Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
• [cs.CL]Learning to Update Natural Language Comments Based on Code Changes
• [cs.CL]Lexically Constrained Neural Machine Translation with Levenshtein Transformer
• [cs.CL]LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
• [cs.CL]MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
• [cs.CL]MCQA: Multimodal Co-attention Based Network for Question Answering
• [cs.CL]Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
• [cs.CL]MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
• [cs.CL]Multi-Domain Dialogue Acts and Response Co-Generation
• [cs.CL]Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling
• [cs.CL]Neural Machine Translation with Monte-Carlo Tree Search
• [cs.CL]Neural Topic Modeling with Bidirectional Adversarial Training
• [cs.CL]On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
• [cs.CL]PTPARL-D: Annotated Corpus of 44 years of Portuguese Parliament debates
• [cs.CL]Quantifying the Contextualization of Word Representations with Semantic Class Probing
• [cs.CL]Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
• [cs.CL]Relational Graph Attention Network for Aspect-based Sentiment Analysis
• [cs.CL]SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
• [cs.CL]Screenplay Summarization Using Latent Narrative Structure
• [cs.CL]Semantic Graphs for Generating Deep Questions
• [cs.CL]Semi-Supervised Neural System for Tagging, Parsing and Lematization
• [cs.CL]Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
• [cs.CL]Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
• [cs.CL]Synonyms and Antonyms: Embedded Conflict
• [cs.CL]Syntactic Data Augmentation Increases Robustness to Inference Heuristics
• [cs.CL]The Gutenberg Dialogue Dataset
• [cs.CL]The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
• [cs.CL]Towards Discourse Parsing-inspired Semantic Storytelling
• [cs.CL]Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization
• [cs.CL]When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
• [cs.CR]Adversarial Machine Learning in Network Intrusion Detection Systems
• [cs.CR]Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
• [cs.CV]3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
• [cs.CV]A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
• [cs.CV]A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
• [cs.CV]A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition
• [cs.CV]Adversarial Fooling Beyond “Flipping the Label”
• [cs.CV]All you need is a second look: Towards Tighter Arbitrary shape text detection
• [cs.CV]Audio-Visual Instance Discrimination with Cross-Modal Agreement
• [cs.CV]AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
• [cs.CV]CNN based Road User Detection using the 3D Radar Cube
• [cs.CV]CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
• [cs.CV]CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
• [cs.CV]Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
• [cs.CV]Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
• [cs.CV]Clustering by Constructing Hyper-Planes
• [cs.CV]CoReNet: Coherent 3D scene reconstruction from a single RGB image
• [cs.CV]Deep Multimodal Neural Architecture Search
• [cs.CV]Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study
• [cs.CV]Deepfakes Detection with Automatic Face Weighting
• [cs.CV]Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
• [cs.CV]Designing a physically-feasible colour filter to make a camera more colorimetric
• [cs.CV]Detective: An Attentive Recurrent Model for Sparse Object Detection
• [cs.CV]Difficulty Translation in Histopathology Images
• [cs.CV]Disentangled Image Generation Through Structured Noise Injection
• [cs.CV]Distance Guided Channel Weighting for Semantic Segmentation
• [cs.CV]EfficientPose: Scalable single-person pose estimation
• [cs.CV]Evaluation Metrics for Conditional Image Generation
• [cs.CV]Extending and Analyzing Self-Supervised Learning Across Domains
• [cs.CV]Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
• [cs.CV]Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays
• [cs.CV]GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
• [cs.CV]How to read faces without looking at them
• [cs.CV]Hyperspectral image classification based on multi-scale residual network with attention mechanism
• [cs.CV]Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
• [cs.CV]In-Vehicle Object Detection in the Wild for Driverless Vehicles
• [cs.CV]Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs
• [cs.CV]Learning to Autofocus
• [cs.CV]Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
• [cs.CV]MakeItTalk: Speaker-Aware Talking Head Animation
• [cs.CV]Maximum Density Divergence for Domain Adaptation
• [cs.CV]Neural Head Reenactment with Latent Pose Descriptors
• [cs.CV]Offline Signature Verification on Real-World Documents
• [cs.CV]On indirect assessment of heart rate in video
• [cs.CV]On the Limits to Multi-Modal Popularity Prediction on Instagram — A New Robust, Efficient and Explainable Baseline
• [cs.CV]On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
• [cs.CV]One-Shot Identity-Preserving Portrait Reenactment
• [cs.CV]Preliminary Forensics Analysis of DeepFake Images
• [cs.CV]Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
• [cs.CV]Remote Photoplethysmography: Rarely Considered Factors
• [cs.CV]Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
• [cs.CV]Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
• [cs.CV]Semantic Neighborhood-Aware Deep Facial Expression Recognition
• [cs.CV]Single Shot 6D Object Pose Estimation
• [cs.CV]StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
• [cs.CV]Stitcher: Feedback-driven Data Provider for Object Detection
• [cs.CV]Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation
• [cs.CV]TPNet: Trajectory Proposal Network for Motion Prediction
• [cs.CV]The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
• [cs.CV]Transfer learning for leveraging computer vision in infrastructure maintenance
• [cs.CV]Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
• [cs.CV]Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
• [cs.CV]VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
• [cs.CV]Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
• [cs.CV]When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
• [cs.CY]”Unsex me here”: Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
• [cs.CY]A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes
• [cs.CY]A New Age of Computing and the Brain
• [cs.CY]Analysis & Shortcomings of E-Recruitment Systems: Towards a Semantics-based Approach Addressing Knowledge Incompleteness and Limited Domain Coverage
• [cs.CY]From elusive to ubiquitous: understanding smart cities
• [cs.CY]How to Return to Normalcy: Fast and Comprehensive Contact Tracing of COVID-19 through Proximity Sensing Using Mobile Devices
• [cs.CY]Improving time use measurement with personal big data collection — the experience of the European Big Data Hackathon 2019
• [cs.CY]Interspecies information systems
• [cs.CY]Power of Artificial Intelligence to Diagnose and Prevent Further COVID-19 Outbreak: A Short Communication
• [cs.CY]Trans-NIH/Interagency Workshop on the Use and Development of Assistive Technology for the Aging Population and People with Chronic Disabilities
• [cs.CY]Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science
• [cs.DC]A New Qubits Mapping Mechanism for Multi-programming Quantum Computing
• [cs.DC]Computing server power modeling in a data center: survey,taxonomy and performance evaluation
• [cs.DC]Signature-based Selection of IaaS Cloud Services
• [cs.DL]QURATOR: Innovative Technologies for Content and Data Curation
• [cs.DS]Learning and Testing Junta Distributions with Subcube Conditioning
• [cs.ET]Adaptive model selection in photonic reservoir computing by reinforcement learning
• [cs.GT]Probabilistic Serial Mechanism for Multi-Type Resource Allocation
• [cs.GT]Robustness of Nash Equilibria in Network Games
• [cs.HC]Congestion-aware Evacuation Routing using Augmented Reality Devices
• [cs.HC]CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
• [cs.HC]The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
• [cs.HC]Tradeoff-Focused Contrastive Explanation for MDP Planning
• [cs.IR]Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling
• [cs.IR]Automatic Textual Evidence Mining in COVID-19 Literature
• [cs.IR]Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching
• [cs.IR]ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• [cs.IR]Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
• [cs.IR]Personalized Recommendation of PoIs to People with Autism
• [cs.IR]Question Answering over Curated and Open Web Sources
• [cs.IR]Visual Analysis of Ontology Matching Results with the MELT Dashboard
• [cs.IT]A New QoS-Guarantee Strategy for NOMA Assisted Semi-Grant-Free Transmission
• [cs.IT]A general method for finding the compositional inverses of permutations from the AGW criterion
• [cs.IT]Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel
• [cs.IT]Binary MIMO Detection via Homotopy Optimization and Its Deep Adaptation
• [cs.IT]Deep Reinforcement Learning for Multi-Agent Non-Cooperative Power Control in Heterogeneous Networks
• [cs.IT]Error Analysis of Decode-Forward Cooperative Relaying NOMA Schemes over Nakagami-m Fading Channels
• [cs.IT]Error Probability Analysis of Non-Orthogonal Multiple Access with Channel Estimation Errors
• [cs.IT]Fractionally-Spaced Equalization and Decision Feedback Sequence Detection for Diffusive MC
• [cs.IT]Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC
• [cs.IT]Physics-based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces
• [cs.IT]Pilot Interval Reduction by Deep Learning Based Detectors in Uplink NOMA
• [cs.IT]Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage
• [cs.IT]Rateless Codes for Private Distributed Matrix-Matrix Multiplication
• [cs.IT]Reconfigurable ULAs for Line-of-Sight MIMO Transmission
• [cs.IT]Timely Estimation Using Coded Quantized Samples
• [cs.IT]Wiener Filter for Short-Reach Fiber-Optic Links
• [cs.LG]A Batch Normalized Inference Network Keeps the KL Vanishing Away
• [cs.LG]A Bayesian machine scientist to aid in the solution of challenging scientific problems
• [cs.LG]A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering
• [cs.LG]An Empirical Study on Feature Discretization
• [cs.LG]An Extension of LIME with Improvement of Interpretability and Fidelity
• [cs.LG]An exposition to the finiteness of fibers in matrix completion via Pl{ü}cker coordinates
• [cs.LG]Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
• [cs.LG]COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
• [cs.LG]Computation on Sparse Neural Networks: an Inspiration for Future Hardware
• [cs.LG]Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
• [cs.LG]Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
• [cs.LG]DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
• [cs.LG]Data-Driven Construction of Data Center Graph of Things for Anomaly Detection
• [cs.LG]Deep k-NN for Noisy Labels
• [cs.LG]Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control
• [cs.LG]Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
• [cs.LG]Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media
• [cs.LG]Evolutionary Stochastic Policy Distillation
• [cs.LG]Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer’s Disease
• [cs.LG]Explainable Unsupervised Change-point Detection via Graph Neural Networks
• [cs.LG]Explicit Domain Adaptation with Loosely Coupled Samples
• [cs.LG]Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization
• [cs.LG]Federated Transfer Learning for EEG Signal Classification
• [cs.LG]Forecasting in Non-stationary Environments with Fuzzy Time Series
• [cs.LG]From Theory to Behaviour: Towards a General Model of Engagement
• [cs.LG]Improved Adversarial Training via Learned Optimizer
• [cs.LG]Improved Image Wasserstein Attacks and Defenses
• [cs.LG]Improving Sample Complexity Bounds for Actor-Critic Algorithms
• [cs.LG]Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
• [cs.LG]Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units
• [cs.LG]Knowledge Base Completion for Constructing Problem-Oriented Medical Records
• [cs.LG]Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
• [cs.LG]Learning to Guide Random Search
• [cs.LG]Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks
• [cs.LG]Local Graph Clustering with Network Lasso
• [cs.LG]Maximum Entropy Multi-Task Inverse RL
• [cs.LG]Memory-efficient training with streaming dimensionality reduction
• [cs.LG]Neural Network-Based Collaborative Filtering for Question Sequencing
• [cs.LG]NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function
• [cs.LG]Order preserving hierarchical agglomerative clustering of strict posets
• [cs.LG]Privacy in Deep Learning: A Survey
• [cs.LG]Reinforcement Learning Generalization with Surprise Minimization
• [cs.LG]Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement
• [cs.LG]Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
• [cs.LG]Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN
• [cs.LG]Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
• [cs.LG]Symbolic Regression Driven by Training Data and Prior Knowledge
• [cs.LG]The Ingredients of Real-World Robotic Reinforcement Learning
• [cs.LG]Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
• [cs.LG]Towards Accurate and Robust Domain Adaptation under Noisy Environments
• [cs.LG]Towards Differentiable Resampling
• [cs.LG]Towards Feature Space Adversarial Attack
• [cs.LG]Transferable Perturbations of Deep Feature Distributions
• [cs.LO]Algebraic Approach to Directed Rough Sets
• [cs.LO]An Epistemic Approach to the Formal Specification of Statistical Machine Learning
• [cs.MA]Information and Causality in Promise Theory
• [cs.MM]Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations
• [cs.NE]A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
• [cs.NE]Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
• [cs.NE]Evolutionary Multi-Objective Optimization for the Dynamic Knapsack Problem
• [cs.NE]Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
• [cs.NE]Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
• [cs.NE]MATE: A Model-based Algorithm Tuning Engine
• [cs.NE]Neuromorphic Nearest-Neighbor Search Using Intel’s Pohoiki Springs
• [cs.NE]The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
• [cs.NE]Why should we add early exits to neural networks?
• [cs.RO]A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control
• [cs.RO]A Point Cloud-Based Method for Automatic Groove Detection and Trajectory Generation of Robotic Arc Welding Tasks
• [cs.RO]Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
• [cs.RO]Continuous hand-eye calibration using 3D points
• [cs.RO]Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques
• [cs.RO]EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
• [cs.RO]Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
• [cs.RO]Flight Control of Sliding Arm Quadcopter with Dynamic Structural Parameters
• [cs.RO]GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
• [cs.RO]Non-Linear Trajectory Optimization for Large Step-Ups: Application to the Humanoid Robot Atlas
• [cs.RO]On the Generalization Capability of Evolved Counter-propagation Neuro-controllers for Robot Navigation
• [cs.RO]Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments
• [cs.RO]Planning Actions by Interactive Movement Primitives: pushing occluding pieces to pick a ripe fruit
• [cs.RO]Social and Emotional Skills Training with Embodied Moxie
• [cs.SD]Jointly Trained Transformers models for Spoken Language Translation
• [cs.SE]How Much Should I Pay? An Empirical Analysis on Monetary Prize in TopCoder
• [cs.SE]Is This the Right Time to Post My Task? An Empirical Analysis on a Task Similarity Arrival in TopCoder
• [cs.SI]A First Instagram Dataset on COVID-19
• [cs.SI]A Smartphone enabled Approach to Manage COVID-19 Lockdown and Economic Crisis
• [cs.SI]Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks
• [cs.SI]Citation Cascade and the Evolution of Topic Relevance
• [cs.SI]DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation
• [cs.SI]Hierarchical Clustering of World Cuisines
• [cs.SI]How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?
• [cs.SI]Internet-human infrastructures: Lessons from Havana’s StreetNet
• [cs.SI]Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
• [cs.SI]Methods for Computing Legal Document Similarity: A Comparative Study
• [cs.SI]Modeling Friendship Networks among Agents with Personality Traits
• [cs.SI]Optimal Decisions of a Rational Agent in the Presence of Biased Information Providers
• [cs.SI]Urban Anomaly Analytics: Description, Detection, and Prediction
• [cs.SI]Why lockdown : On the spread of SARS-CoV-2 in India, a network approach
• [econ.EM]Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity
• [eess.AS]Active Voice Authentication
• [eess.AS]Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
• [eess.IV]A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
• [eess.IV]A Survey on Domain Knowledge Powered Deep Learning for Medical Image Analysis
• [eess.IV]Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
• [eess.IV]DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
• [eess.IV]Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities
• [eess.IV]Joint Liver Lesion Segmentation and Classification via Transfer Learning
• [eess.IV]OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images
• [eess.IV]POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
• [eess.IV]Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision
• [eess.IV]Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
• [eess.IV]Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images
• [eess.IV]Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
• [eess.SP]Age-Aware Status Update Control for Energy Harvesting IoT Sensors via Reinforcement Learning
• [eess.SP]Blind Data Detection in Massive MIMO via $\ell_3$-norm Maximization over the Stiefel Manifold
• [eess.SP]Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems
• [eess.SP]Muscle Synergy and Coupling for Hand
• [eess.SY]Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
• [eess.SY]Subgoal Planning Algorithm for Autonomous Vehicle Guidance
• [math.CA]A unified view of space-time covariance functions through Gelfand pairs
• [math.CO]The number of almost perfect nonlinear functions grows exponentially
• [math.DS]Forty New Invariants of N-Periodics in the Elliptic Billiard
• [math.NA]Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
• [math.NA]Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks
• [math.ST]Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index
• [math.ST]Decision-theoretic foundations for statistical causality
• [math.ST]Efficient tests for bio-equivalence in functional data
• [math.ST]Learning discrete distributions with infinite support
• [math.ST]Limit laws for the norms of extremal samples
• [math.ST]Minimax testing and quadratic functional estimation for circular convolution
• [math.ST]On Cumulative Residual (Past) Extropy of Extreme Order Statistics
• [math.ST]Spectral analysis of large reflexive generalized inverse and Moore-Penrose inverse matrices
• [math.ST]The Local Partial Autocorrelation Function and Some Applications
• [physics.comp-ph]Neural Network Solutions to Differential Equations in Non-Convex Domains: Solving the Electric Field in the Slit-Well Microfluidic Device
• [physics.comp-ph]The Accuracy of Restricted Boltzmann Machine Models of Ising Systems
• [physics.data-an]Parametric unfolding. Method and restrictions
• [physics.soc-ph]Agent-Level Pandemic Simulation (ALPS) for Analyzing Effects of Lockdown Measures
• [physics.soc-ph]Analysing the combined health, social and economic impacts of the corovanvirus pandemic using agent-based social simulation
• [physics.soc-ph]Multiplex Markov Chains
• [physics.soc-ph]Optimal prediction of decisions and model selection in social dilemmas using block models
• [physics.soc-ph]Scaling laws and dynamics of hashtags on Twitter
• [physics.space-ph]Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
• [q-fin.TR]Trading Foreign Exchange Triplets
• [quant-ph]Quantum machine learning and quantum biomimetics: A perspective
• [stat.AP]An Epidemiological Modelling Approach for Covid19 via Data Assimilation
• [stat.AP]Assessment of research frameworks for on-farm experimentation through a simulation study of wheat yield in Japan
• [stat.AP]Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics
• [stat.AP]Limiting Bias from Test-Control Interference in Online Marketplace Experiments
• [stat.ME]A Bayesian dose-response meta-analysis model: simulation study and application
• [stat.ME]A bimodal gamma distribution: Properties, regression model and applications
• [stat.ME]Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
• [stat.ME]Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization
• [stat.ME]Efficient Quantile Tracking Using an Oracle
• [stat.ME]Incorporating historical information to improve phase I clinical trial designs
• [stat.ME]Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
• [stat.ME]Nonparametric sequential change-point detection for multivariate time series based on empirical distribution functions
• [stat.ME]Recovering individual-level spatial inference from aggregated binary data
• [stat.ME]Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records
• [stat.ME]Reducing Interference Bias in Online Marketplace Pricing Experiments
• [stat.ME]Retrospective analysis of a fatal dose-finding trial
• [stat.ME]Sparse Structures for Multivariate Extremes
• [stat.ME]Two-Stage Sparse Regression Screening to Detect Biomarker-Treatment Interactions in Randomized Clinical Trials
• [stat.ML]Compromise-free Bayesian neural networks
• [stat.ML]Finite-sample analysis of interpolating linear classifiers in the overparameterized regime
• [stat.ML]Randomized spectral co-clustering for large-scale directed networks
• [stat.ML]Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
• [stat.ML]The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
• [stat.ML]Towards causal generative scene models via competition of experts
·····································
• [astro-ph.GA]DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks
A. Ćiprijanović, G. F. Snyder, B. Nord, J. E. G. Peek
http://arxiv.org/abs/2004.11981v1
• [astro-ph.IM]Robust posterior inference when statistically emulating forward simulations
Grigor Aslanyan, Richard Easther, Nathan Musoke, Layne C. Price
http://arxiv.org/abs/2004.11929v1
• [cs.AI]A general approach to progressive intelligence
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey E. Priebe
http://arxiv.org/abs/2004.12908v1
• [cs.AI]Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System
Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi
http://arxiv.org/abs/2004.12303v1
• [cs.AI]Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology
Adrian Groza
http://arxiv.org/abs/2004.12330v1
• [cs.AI]Differentiable Adaptive Computation Time for Visual Reasoning
Cristobal Eyzaguirre, Alvaro Soto
http://arxiv.org/abs/2004.12770v1
• [cs.AI]First return then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
http://arxiv.org/abs/2004.12919v1
• [cs.AI]GymFG: A Framework with a Gym Interface for FlightGear
Andrew Wood, Ali Sydney, Peter Chin, Bishal Thapa, Ryan Ross
http://arxiv.org/abs/2004.12481v1
• [cs.AI]Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
Masataro Asai, Christian Muise
http://arxiv.org/abs/2004.12850v1
• [cs.AI]Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu
http://arxiv.org/abs/2004.12193v1
• [cs.AI]Predicting Plans and Actions in Two-Player Repeated Games
Najma Mathema, Michael A. Goodrich, Jacob W. Crandall
http://arxiv.org/abs/2004.12480v1
• [cs.AI]SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
Di Zhuang, Nam Nguyen, Keyu Chen, J. Morris Chang
http://arxiv.org/abs/2004.12059v1
• [cs.AI]Semi-Lexical Languages — A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision
Briti Gangopadhyay, Somnath Hazra, Pallab Dasgupta
http://arxiv.org/abs/2004.12152v1
• [cs.AI]Warm-Start AlphaZero Self-Play Search Enhancements
Hui Wang, Mike Preuss, Aske Plaat
http://arxiv.org/abs/2004.12357v1
• [cs.CC]Finding Planted Cliques in Sublinear Time
Jay Mardia, Hilal Asi, Kabir Aladin Chandrasekher
http://arxiv.org/abs/2004.12002v1
• [cs.CC]Low-Degree Hardness of Random Optimization Problems
David Gamarnik, Aukosh Jagannath, Alexander S. Wein
http://arxiv.org/abs/2004.12063v1
• [cs.CL]A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin
http://arxiv.org/abs/2004.12057v1
• [cs.CL]A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun
http://arxiv.org/abs/2004.12126v1
• [cs.CL]All Word Embeddings from One Embedding
Sho Takase, Sosuke Kobayashi
http://arxiv.org/abs/2004.12073v1
• [cs.CL]Assessing Discourse Relations in Language Generationfrom Pre-trained Language Models
Wei-Jen Ko, Junyi Jessy Li
http://arxiv.org/abs/2004.12506v1
• [cs.CL]Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Angela Fan, Claire Gardent, Chloe Braud, Antoine Bordes
http://arxiv.org/abs/2004.12744v1
• [cs.CL]BLEU Neighbors: A Reference-less Approach to Automatic Evaluation
Kawin Ethayarajh, Dorsa Sadigh
http://arxiv.org/abs/2004.12726v1
• [cs.CL]Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart Shieber
http://arxiv.org/abs/2004.12265v1
• [cs.CL]ColBERT: Using BERT Sentence Embedding for Humor Detection
Issa Annamoradnejad
http://arxiv.org/abs/2004.12765v1
• [cs.CL]Collecting Entailment Data for Pretraining: New Protocols and Negative Results
Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, Emily Pitler
http://arxiv.org/abs/2004.11997v1
• [cs.CL]Contextualized Representations Using Textual Encyclopedic Knowledge
Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova
http://arxiv.org/abs/2004.12006v1
• [cs.CL]DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab, Smaranda Muresan
http://arxiv.org/abs/2004.12864v1
• [cs.CL]DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin
http://arxiv.org/abs/2004.12993v1
• [cs.CL]Dual Learning for Semi-Supervised Natural Language Understanding
Su Zhu, Ruisheng Cao, Kai Yu
http://arxiv.org/abs/2004.12299v1
• [cs.CL]Endowing Empathetic Conversational Models with Personas
Peixiang Zhong, Yan Zhu, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao
http://arxiv.org/abs/2004.12316v1
• [cs.CL]Experiments with LVT and FRE for Transformer model
Ilshat Gibadullin, Aidar Valeev
http://arxiv.org/abs/2004.12495v1
• [cs.CL]GLUECoS : An Evaluation Benchmark for Code-Switched NLP
Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury
http://arxiv.org/abs/2004.12376v1
• [cs.CL]Heterogeneous Graph Neural Networks for Extractive Document Summarization
Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/2004.12393v1
• [cs.CL]Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology
Arda Akdemir, Tetsuo Shibuya, Tunga Güngör
http://arxiv.org/abs/2004.12247v1
• [cs.CL]How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/2004.12158v1
• [cs.CL]Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
http://arxiv.org/abs/2004.12894v1
• [cs.CL]Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
Kawin Ethayarajh
http://arxiv.org/abs/2004.12332v1
• [cs.CL]Learning to Update Natural Language Comments Based on Code Changes
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney
http://arxiv.org/abs/2004.12169v1
• [cs.CL]Lexically Constrained Neural Machine Translation with Levenshtein Transformer
Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan
http://arxiv.org/abs/2004.12681v1
• [cs.CL]LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu
http://arxiv.org/abs/2004.12817v1
• [cs.CL]MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
http://arxiv.org/abs/2004.12302v1
• [cs.CL]MCQA: Multimodal Co-attention Based Network for Question Answering
Abhishek Kumar, Trisha Mittal, Dinesh Manocha
http://arxiv.org/abs/2004.12238v1
• [cs.CL]Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
Mengjie Zhao, Tao Lin, Martin Jaggi, Hinrich Schütze
http://arxiv.org/abs/2004.12406v1
• [cs.CL]MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Jiaao Chen, Zichao Yang, Diyi Yang
http://arxiv.org/abs/2004.12239v1
• [cs.CL]Multi-Domain Dialogue Acts and Response Co-Generation
Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, Jianxing Yu
http://arxiv.org/abs/2004.12363v1
• [cs.CL]Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling
Costanza Conforti, Stephanie Hirmer, David Morgan, Marco Basaldella, Yau Ben Or
http://arxiv.org/abs/2004.12935v1
• [cs.CL]Neural Machine Translation with Monte-Carlo Tree Search
Jerrod Parker, Jerry Zikun Chen
http://arxiv.org/abs/2004.12527v1
• [cs.CL]Neural Topic Modeling with Bidirectional Adversarial Training
Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu
http://arxiv.org/abs/2004.12331v1
• [cs.CL]On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
http://arxiv.org/abs/2004.12617v1
• [cs.CL]PTPARL-D: Annotated Corpus of 44 years of Portuguese Parliament debates
Paulo Almeida, Manuel Marques-Pita, Joana Gonçalves-Sá
http://arxiv.org/abs/2004.12502v1
• [cs.CL]Quantifying the Contextualization of Word Representations with Semantic Class Probing
Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schütze
http://arxiv.org/abs/2004.12198v1
• [cs.CL]Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu
http://arxiv.org/abs/2004.12651v1
• [cs.CL]Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang
http://arxiv.org/abs/2004.12362v1
• [cs.CL]SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
Xiang Kong, Varun Gangal, Eduard Hovy
http://arxiv.org/abs/2004.12934v1
• [cs.CL]Screenplay Summarization Using Latent Narrative Structure
Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata
http://arxiv.org/abs/2004.12727v1
• [cs.CL]Semantic Graphs for Generating Deep Questions
Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan
http://arxiv.org/abs/2004.12704v1
• [cs.CL]Semi-Supervised Neural System for Tagging, Parsing and Lematization
Piotr Rybak, Alina Wróblewska
http://arxiv.org/abs/2004.12450v1
• [cs.CL]Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Baoyu Jing, Zeya Wang, Eric Xing
http://arxiv.org/abs/2004.12274v1
• [cs.CL]Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
http://arxiv.org/abs/2004.12440v1
• [cs.CL]Synonyms and Antonyms: Embedded Conflict
Igor Samenko, Alexey Tikhonov, Ivan P. Yamshchikov
http://arxiv.org/abs/2004.12835v1
• [cs.CL]Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen
http://arxiv.org/abs/2004.11999v1
• [cs.CL]The Gutenberg Dialogue Dataset
Richard Csaky, Gabor Recski
http://arxiv.org/abs/2004.12752v1
• [cs.CL]The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
Hana Al-Theiabat, Aisha Al-Sadi
http://arxiv.org/abs/2004.11964v1
• [cs.CL]Towards Discourse Parsing-inspired Semantic Storytelling
Georg Rehm, Karolina Zaczynska, Julián Moreno-Schneider, Malte Ostendorff, Peter Bourgonje, Maria Berger, Jens Rauenbusch, André Schmidt, Mikka Wild
http://arxiv.org/abs/2004.12190v1
• [cs.CL]Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization
Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou
http://arxiv.org/abs/2004.12429v1
• [cs.CL]When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
Kenneth Joseph, Jonathan H. Morgan
http://arxiv.org/abs/2004.12043v1
• [cs.CR]Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
http://arxiv.org/abs/2004.11898v1
• [cs.CR]Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo, Xiangqi Zhu
http://arxiv.org/abs/2004.12571v1
• [cs.CV]3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection
Jin Hyeok Yoo, Yeocheol Kim, Ji Song Kim, Jun Won Choi
http://arxiv.org/abs/2004.12636v1
• [cs.CV]A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour
http://arxiv.org/abs/2004.12847v1
• [cs.CV]A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Davide Borra, Alessandro Masci, Cristiana Corsi, Rashed Karim, Coen de Vente, Mitko Veta, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Yashu Liu, Kuanquan Wang, Nicolo Savioli, Pablo Lamata, Jichao Zhao
http://arxiv.org/abs/2004.12314v1
• [cs.CV]A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition
Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri
http://arxiv.org/abs/2004.12769v1
• [cs.CV]Adversarial Fooling Beyond “Flipping the Label”
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
http://arxiv.org/abs/2004.12771v1
• [cs.CV]All you need is a second look: Towards Tighter Arbitrary shape text detection
Meng Cao, Yuexian Zou
http://arxiv.org/abs/2004.12436v1
• [cs.CV]Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado, Nuno Vasconcelos, Ishan Misra
http://arxiv.org/abs/2004.12943v1
• [cs.CV]AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao
http://arxiv.org/abs/2004.12292v1
• [cs.CV]CNN based Road User Detection using the 3D Radar Cube
Andras Palffy, Jiaao Dong, Julian F. P. Kooij, Dariu M. Gavrila
http://arxiv.org/abs/2004.12165v1
• [cs.CV]CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
Di Zhuang, Keyu Chen, J. Morris Chang
http://arxiv.org/abs/2004.12064v1
• [cs.CV]CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
Devashish Prasad, Ayan Gadpal, Kshitij Kapadni, Manish Visave, Kavita Sultanpure
http://arxiv.org/abs/2004.12629v1
• [cs.CV]Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang
http://arxiv.org/abs/2004.12178v1
• [cs.CV]Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal, Prabhu Pradhan
http://arxiv.org/abs/2004.12344v1
• [cs.CV]Clustering by Constructing Hyper-Planes
Luhong Diao, Jinying Gao1, Manman Deng
http://arxiv.org/abs/2004.12087v1
• [cs.CV]CoReNet: Coherent 3D scene reconstruction from a single RGB image
Stefan Popov, Pablo Bauszat, Vittorio Ferrari
http://arxiv.org/abs/2004.12989v1
• [cs.CV]Deep Multimodal Neural Architecture Search
Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, Qi Tian
http://arxiv.org/abs/2004.12070v1
• [cs.CV]Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study
Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi
http://arxiv.org/abs/2004.12040v1
• [cs.CV]Deepfakes Detection with Automatic Face Weighting
Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda, Sriram Baireddy, Ruiting Shao, Janos Horv ath, Emily Bartusiak, Justin Yang, David Guera, Fengqing Zhu, Edward J. Delp
http://arxiv.org/abs/2004.12027v1
• [cs.CV]Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Koan-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, BY Shen, Kloze Kao, Chia-Ming Cheng, Hung-Jen Chen
http://arxiv.org/abs/2004.12599v1
• [cs.CV]Designing a physically-feasible colour filter to make a camera more colorimetric
Yuteng Zhu
http://arxiv.org/abs/2004.12464v1
• [cs.CV]Detective: An Attentive Recurrent Model for Sparse Object Detection
Amine Kechaou, Manuel Martinez, Monica Haurilet, Rainer Stiefelhagen
http://arxiv.org/abs/2004.12197v1
• [cs.CV]Difficulty Translation in Histopathology Images
Jerry Wei, Arief Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
http://arxiv.org/abs/2004.12535v1
• [cs.CV]Disentangled Image Generation Through Structured Noise Injection
Yazeed Alharbi, Peter Wonka
http://arxiv.org/abs/2004.12411v1
• [cs.CV]Distance Guided Channel Weighting for Semantic Segmentation
Lanyun Zhu, Shiping Zhu, Xuanyi Liu, Li Luo
http://arxiv.org/abs/2004.12679v1
• [cs.CV]EfficientPose: Scalable single-person pose estimation
Daniel Groos, Heri Ramampiaro, Espen Ihlen
http://arxiv.org/abs/2004.12186v1
• [cs.CV]Evaluation Metrics for Conditional Image Generation
Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf
http://arxiv.org/abs/2004.12361v1
• [cs.CV]Extending and Analyzing Self-Supervised Learning Across Domains
Bram Wallace, Bharath Hariharan
http://arxiv.org/abs/2004.11992v1
• [cs.CV]Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie
http://arxiv.org/abs/2004.12276v1
• [cs.CV]Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays
Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas
http://arxiv.org/abs/2004.12525v1
• [cs.CV]GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Chunhua Jia, Lei Zhang, Hui Huang, Weiwei Cai, Hao Hu, Rohan Adivarekar
http://arxiv.org/abs/2004.12709v1
• [cs.CV]How to read faces without looking at them
Suyash Shandilya, Waris Quamer
http://arxiv.org/abs/2004.12103v1
• [cs.CV]Hyperspectral image classification based on multi-scale residual network with attention mechanism
Xiangdong Zhang, Tengjun Wang, Yun Yang
http://arxiv.org/abs/2004.12381v1
• [cs.CV]Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge
http://arxiv.org/abs/2004.12880v1
• [cs.CV]In-Vehicle Object Detection in the Wild for Driverless Vehicles
Ranjith Dinakaran, Li Zhang, Richard Jiang
http://arxiv.org/abs/2004.12700v1
• [cs.CV]Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs
Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, Song-Chun Zhu
http://arxiv.org/abs/2004.12248v1
• [cs.CV]Learning to Autofocus
Charles Herrmann, Richard Strong Bowen, Neal Wadwha, Rahul Garg, Qirui He, Jonathan T. Barron, Ramin Zabih
http://arxiv.org/abs/2004.12260v1
• [cs.CV]Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
Amelie Royer, Christoph H. Lampert
http://arxiv.org/abs/2004.12623v1
• [cs.CV]MakeItTalk: Speaker-Aware Talking Head Animation
Yang Zhou, DIngzeyu Li, Xintong Han, Evangelos Kalogerakis, Eli Shechtman, Jose Echevarria
http://arxiv.org/abs/2004.12992v1
• [cs.CV]Maximum Density Divergence for Domain Adaptation
Li Jingjing, Chen Erpeng, Ding Zhengming, Zhu Lei, Lu Ke, Shen Heng Tao
http://arxiv.org/abs/2004.12615v1
• [cs.CV]Neural Head Reenactment with Latent Pose Descriptors
Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor Lempitsky
http://arxiv.org/abs/2004.12000v1
• [cs.CV]Offline Signature Verification on Real-World Documents
Deniz Engin, Alperen Kantarcı, Seçil Arslan, Hazım Kemal Ekenel
http://arxiv.org/abs/2004.12104v1
• [cs.CV]On indirect assessment of heart rate in video
Mikhail Kopeliovich, Konstantin Kalinin, Yuriy Mironenko, Mikhail Petrushan
http://arxiv.org/abs/2004.12703v1
• [cs.CV]On the Limits to Multi-Modal Popularity Prediction on Instagram — A New Robust, Efficient and Explainable Baseline
Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
http://arxiv.org/abs/2004.12482v1
• [cs.CV]On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
Marichelo Garcia-Venegas, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais
http://arxiv.org/abs/2004.11909v1
• [cs.CV]One-Shot Identity-Preserving Portrait Reenactment
Sitao Xiang, Yuming Gu, Pengda Xiang, Mingming He, Koki Nagano, Haiwei Chen, Hao Li
http://arxiv.org/abs/2004.12452v1
• [cs.CV]Preliminary Forensics Analysis of DeepFake Images
Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato
http://arxiv.org/abs/2004.12626v1
• [cs.CV]Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image
Aniket Pokale, Aditya Aggarwal, K. Madhava Krishna
http://arxiv.org/abs/2004.12232v1
• [cs.CV]Remote Photoplethysmography: Rarely Considered Factors
Yuriy Mironenko, Konstantin Kalinin, Mikhail Kopeliovich, Mikhail Petrushan
http://arxiv.org/abs/2004.12695v1
• [cs.CV]Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Joern Hees, Andreas Dengel
http://arxiv.org/abs/2004.12170v1
• [cs.CV]Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Rafi Umer, Andreas Doering, Bastian Leibe, Juergen Gall
http://arxiv.org/abs/2004.12652v1
• [cs.CV]Semantic Neighborhood-Aware Deep Facial Expression Recognition
Yongjian Fu, Xintian Wu, Xi Li, Zhijie Pan, Daxin Luo
http://arxiv.org/abs/2004.12725v1
• [cs.CV]Single Shot 6D Object Pose Estimation
Kilian Kleeberger, Marco F. Huber
http://arxiv.org/abs/2004.12729v1
• [cs.CV]StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
Sangrok Lee, Eunsoo Park, Hongsuk Yi, Sang Hun Lee
http://arxiv.org/abs/2004.12032v1
• [cs.CV]Stitcher: Feedback-driven Data Provider for Object Detection
Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Gaofeng Meng, Shiming Xiang, Jian Sun, Jiaya Jia
http://arxiv.org/abs/2004.12432v1
• [cs.CV]Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki
http://arxiv.org/abs/2004.12288v1
• [cs.CV]TPNet: Trajectory Proposal Network for Motion Prediction
Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou
http://arxiv.org/abs/2004.12255v1
• [cs.CV]The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Ranjita Thapa, Noah Snavely, Serge Belongie, Awais Khan
http://arxiv.org/abs/2004.11958v1
• [cs.CV]Transfer learning for leveraging computer vision in infrastructure maintenance
Mateusz Żarski, Bartosz Wójcik, Jarosław Adam Miszczak
http://arxiv.org/abs/2004.12337v1
• [cs.CV]Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
http://arxiv.org/abs/2004.12724v1
• [cs.CV]Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Yui-Lam Chan
http://arxiv.org/abs/2004.12811v1
• [cs.CV]VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu
http://arxiv.org/abs/2004.12591v1
• [cs.CV]Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
Haiyan Wang, Xuejian Rong, Liang Yang, Jinglun Feng, Jizhong Xiao, Yingli Tian
http://arxiv.org/abs/2004.12498v1
• [cs.CV]When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can, Ryosuke Nakamura
http://arxiv.org/abs/2004.12349v1
• [cs.CY]“Unsex me here”: Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
Mattia Samory, Indira Sen, Julian Kohne, Fabian Floeck, Claudia Wagner
http://arxiv.org/abs/2004.12764v1
• [cs.CY]A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes
Dipankar Chaki, Athman Bouguettaya, Sajib Mistry
http://arxiv.org/abs/2004.12702v1
• [cs.CY]A New Age of Computing and the Brain
Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein
http://arxiv.org/abs/2004.12926v1
• [cs.CY]Analysis & Shortcomings of E-Recruitment Systems: Towards a Semantics-based Approach Addressing Knowledge Incompleteness and Limited Domain Coverage
M. Maree, A. Kmail, M. Belkhatir
http://arxiv.org/abs/2004.12034v1
• [cs.CY]From elusive to ubiquitous: understanding smart cities
Maria-Alexandra Barina, Gabriel Barina
http://arxiv.org/abs/2004.11943v1
• [cs.CY]How to Return to Normalcy: Fast and Comprehensive Contact Tracing of COVID-19 through Proximity Sensing Using Mobile Devices
Ye Xia, Gwendolyn Lee
http://arxiv.org/abs/2004.12576v1
• [cs.CY]Improving time use measurement with personal big data collection — the experience of the European Big Data Hackathon 2019
Mattia Zeni, Ivano Bison, Britta Gauckler, Fernando Reis Fausto Giunchiglia
http://arxiv.org/abs/2004.11940v1
• [cs.CY]Interspecies information systems
Dirk van der Linden
http://arxiv.org/abs/2004.12168v1
• [cs.CY]Power of Artificial Intelligence to Diagnose and Prevent Further COVID-19 Outbreak: A Short Communication
Muhammad Lawan Jibril, Usman Sani Sharif
http://arxiv.org/abs/2004.12463v1
• [cs.CY]Trans-NIH/Interagency Workshop on the Use and Development of Assistive Technology for the Aging Population and People with Chronic Disabilities
Elizabeth Mynatt, Alice Borrelli, Sara Czaja, Erin Iturriaga, Jeff Kaye, Wendy Nilsen, Dan Siewiorek, John Stankovic
http://arxiv.org/abs/2004.12961v1
• [cs.CY]Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science
Ross Whitaker, William Thompson, James Berger, Baruch Fischhof, Michael Goodchild, Mary Hegarty, Christopher Jermaine, Kathryn S. McKinley, Alex Pang, Joanne Wendelberger
http://arxiv.org/abs/2004.12939v1
• [cs.DC]A New Qubits Mapping Mechanism for Multi-programming Quantum Computing
Lei Liu, Xinglei Dou
http://arxiv.org/abs/2004.12854v1
• [cs.DC]Computing server power modeling in a data center: survey,taxonomy and performance evaluation
Leila Ismail, Huned Materwala
http://arxiv.org/abs/2004.12335v1
• [cs.DC]Signature-based Selection of IaaS Cloud Services
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
http://arxiv.org/abs/2004.12378v1
• [cs.DL]QURATOR: Innovative Technologies for Content and Data Curation
Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
http://arxiv.org/abs/2004.12195v1
• [cs.DS]Learning and Testing Junta Distributions with Subcube Conditioning
Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten
http://arxiv.org/abs/2004.12496v1
• [cs.ET]Adaptive model selection in photonic reservoir computing by reinforcement learning
Kazutaka Kanno, Makoto Naruse, Atsushi Uchida
http://arxiv.org/abs/2004.12575v1
• [cs.GT]Probabilistic Serial Mechanism for Multi-Type Resource Allocation
Xiaoxi Guo, Sujoy Sikdar, Haibin Wang, Lirong Xia, Yongzhi Cao, Hanpin Wang
http://arxiv.org/abs/2004.12062v1
• [cs.GT]Robustness of Nash Equilibria in Network Games
Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli
http://arxiv.org/abs/2004.12869v1
• [cs.HC]Congestion-aware Evacuation Routing using Augmented Reality Devices
Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu
http://arxiv.org/abs/2004.12246v1
• [cs.HC]CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
Keyu Yang, Yunjun Gao, Lei Liang, Song Bian, Lu Chen, Baihua Zheng
http://arxiv.org/abs/2004.12389v1
• [cs.HC]The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha
http://arxiv.org/abs/2004.12388v1
• [cs.HC]Tradeoff-Focused Contrastive Explanation for MDP Planning
Roykrong Sukkerd, Reid Simmons, David Garlan
http://arxiv.org/abs/2004.12960v1
• [cs.IR]Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling
Yitong Li, Wenying Ji, Simaan M. AbouRizk
http://arxiv.org/abs/2004.12213v1
• [cs.IR]Automatic Textual Evidence Mining in COVID-19 Literature
Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han
http://arxiv.org/abs/2004.12563v1
• [cs.IR]Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
http://arxiv.org/abs/2004.12297v1
• [cs.IR]ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab, Matei Zaharia
http://arxiv.org/abs/2004.12832v1
• [cs.IR]Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
Feng Liu, Qing Liu, Wei Guo, Huifeng Guo, Weiwen Liu, Ruiming Tang, Xutao Li, Yunming Ye, Xiuqiang He
http://arxiv.org/abs/2004.12118v1
• [cs.IR]Personalized Recommendation of PoIs to People with Autism
Noemi Mauro, Liliana Ardissono, Federica Cena
http://arxiv.org/abs/2004.12733v1
• [cs.IR]Question Answering over Curated and Open Web Sources
Rishiraj Saha Roy, Avishek Anand
http://arxiv.org/abs/2004.11980v1
• [cs.IR]Visual Analysis of Ontology Matching Results with the MELT Dashboard
Jan Portisch, Sven Hertling, Heiko Paulheim
http://arxiv.org/abs/2004.12628v1
• [cs.IT]A New QoS-Guarantee Strategy for NOMA Assisted Semi-Grant-Free Transmission
Z. Ding, R. Schober, H. V. Poor
http://arxiv.org/abs/2004.12997v1
• [cs.IT]A general method for finding the compositional inverses of permutations from the AGW criterion
Tailin Niu, Kangquan Li, Longjiang Qu, Qiang Wang
http://arxiv.org/abs/2004.12552v1
• [cs.IT]Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel
Antonio Bazco-Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset
http://arxiv.org/abs/2004.11918v1
• [cs.IT]Binary MIMO Detection via Homotopy Optimization and Its Deep Adaptation
Mingjie Shao, Wing-Kin Ma
http://arxiv.org/abs/2004.12587v1
• [cs.IT]Deep Reinforcement Learning for Multi-Agent Non-Cooperative Power Control in Heterogeneous Networks
Lin Zhang, Ying-Chang Liang
http://arxiv.org/abs/2004.12095v1
• [cs.IT]Error Analysis of Decode-Forward Cooperative Relaying NOMA Schemes over Nakagami-m Fading Channels
Ferdi Kara, Hakan Kaya
http://arxiv.org/abs/2004.12407v1
• [cs.IT]Error Probability Analysis of Non-Orthogonal Multiple Access with Channel Estimation Errors
Ferdi Kara, Hakan Kaya
http://arxiv.org/abs/2004.12402v1
• [cs.IT]Fractionally-Spaced Equalization and Decision Feedback Sequence Detection for Diffusive MC
Trang Ngoc Cao, Vahid Jamali, Nikola Zlatanov, Phee Lep Yeoh, Jamie Evans, Robert Schober
http://arxiv.org/abs/2004.12735v1
• [cs.IT]Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC
Ferdi Kara, Hakan Kaya
http://arxiv.org/abs/2004.12353v1
• [cs.IT]Physics-based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces
Marzieh Najafi, Vahid Jamali, Robert Schober, Vincent H. Poor
http://arxiv.org/abs/2004.12957v1
• [cs.IT]Pilot Interval Reduction by Deep Learning Based Detectors in Uplink NOMA
Ahmet Emir, Ferdi Kara, Hakan Kaya
http://arxiv.org/abs/2004.12416v1
• [cs.IT]Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage
Onur Günlü, Peter Trifonov, Muah Kim, Rafael F. Schaefer, Vladimir Sidorenko
http://arxiv.org/abs/2004.12091v1
• [cs.IT]Rateless Codes for Private Distributed Matrix-Matrix Multiplication
Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
http://arxiv.org/abs/2004.12925v1
• [cs.IT]Reconfigurable ULAs for Line-of-Sight MIMO Transmission
Heedong Do, Namyoon Lee, Angel Lozano
http://arxiv.org/abs/2004.12039v1
• [cs.IT]Timely Estimation Using Coded Quantized Samples
Ahmed Arafa, Karim Banawan, Karim G. Seddik, H. Vincent Poor
http://arxiv.org/abs/2004.12982v1
• [cs.IT]Wiener Filter for Short-Reach Fiber-Optic Links
Daniel Plabst, Javier García Gómez, Thomas Wiegart, Norbert Hanik
http://arxiv.org/abs/2004.12148v1
• [cs.LG]A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Wu
http://arxiv.org/abs/2004.12585v1
• [cs.LG]A Bayesian machine scientist to aid in the solution of challenging scientific problems
Roger Guimera, Ignasi Reichardt, Antoni Aguilar-Mogas, Francesco A Massucci, Manuel Miranda, Jordi Pallares, Marta Sales-Pardo
http://arxiv.org/abs/2004.12157v1
• [cs.LG]A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering
Yunxia Lin, Songcan Chen
http://arxiv.org/abs/2004.12756v1
• [cs.LG]An Empirical Study on Feature Discretization
Qiang Liu, Zhaocheng Liu, Haoli Zhang
http://arxiv.org/abs/2004.12602v1
• [cs.LG]An Extension of LIME with Improvement of Interpretability and Fidelity
Sheng Shi, Yangzhou Du, Wei Fan
http://arxiv.org/abs/2004.12277v1
• [cs.LG]An exposition to the finiteness of fibers in matrix completion via Pl{ü}cker coordinates
Manolis C. Tsakiris
http://arxiv.org/abs/2004.12430v1
• [cs.LG]Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri
http://arxiv.org/abs/2004.12492v1
• [cs.LG]COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
http://arxiv.org/abs/2004.12443v1
• [cs.LG]Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie
http://arxiv.org/abs/2004.11946v1
• [cs.LG]Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang
http://arxiv.org/abs/2004.12209v1
• [cs.LG]Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
Qian Wang, Toby P. Breckon
http://arxiv.org/abs/2004.12427v1
• [cs.LG]DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun
http://arxiv.org/abs/2004.12311v1
• [cs.LG]Data-Driven Construction of Data Center Graph of Things for Anomaly Detection
Hao Zhang, Zhan Li, Zhixing Ren
http://arxiv.org/abs/2004.12540v1
• [cs.LG]Deep k-NN for Noisy Labels
Dara Bahri, Heinrich Jiang, Maya Gupta
http://arxiv.org/abs/2004.12289v1
• [cs.LG]Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control
Christian Muench, Frans A. Oliehoek, Dariu M. Gavrila
http://arxiv.org/abs/2004.12678v1
• [cs.LG]Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Shell Xu Hu, Pablo G. Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas Damianou
http://arxiv.org/abs/2004.12696v1
• [cs.LG]Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media
Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian
http://arxiv.org/abs/2004.12500v1
• [cs.LG]Evolutionary Stochastic Policy Distillation
Hao Sun, Xinyu Pan, Bo Dai, Dahua Lin, Bolei Zhou
http://arxiv.org/abs/2004.12909v1
• [cs.LG]Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer’s Disease
Eduardo Nigri, Nivio Ziviani, Fabio Cappabianco, Augusto Antunes, Adriano Veloso
http://arxiv.org/abs/2004.12204v1
• [cs.LG]Explainable Unsupervised Change-point Detection via Graph Neural Networks
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
http://arxiv.org/abs/2004.11934v1
• [cs.LG]Explicit Domain Adaptation with Loosely Coupled Samples
Oliver Scheel, Loren Schwarz, Nassir Navab, Federico Tombari
http://arxiv.org/abs/2004.11995v1
• [cs.LG]Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization
Shatian Wang, Shuoguang Yang, Zhen Xu, Van-Anh Truong
http://arxiv.org/abs/2004.11963v1
• [cs.LG]Federated Transfer Learning for EEG Signal Classification
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
http://arxiv.org/abs/2004.12321v1
• [cs.LG]Forecasting in Non-stationary Environments with Fuzzy Time Series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo Silva, Miri Weiss Cohen, Frederico Gadelha Guimarães
http://arxiv.org/abs/2004.12554v1
• [cs.LG]From Theory to Behaviour: Towards a General Model of Engagement
Valerio Bonometti, Charles Ringer, Mathieu Ruiz, Alex Wade, Anders Drachen
http://arxiv.org/abs/2004.12644v1
• [cs.LG]Improved Adversarial Training via Learned Optimizer
Yuanhao Xiong, Cho-Jui Hsieh
http://arxiv.org/abs/2004.12227v1
• [cs.LG]Improved Image Wasserstein Attacks and Defenses
J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang
http://arxiv.org/abs/2004.12478v1
• [cs.LG]Improving Sample Complexity Bounds for Actor-Critic Algorithms
Tengyu Xu, Zhe Wang, Yingbin Liang
http://arxiv.org/abs/2004.12956v1
• [cs.LG]Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
http://arxiv.org/abs/2004.12551v1
• [cs.LG]Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units
Sohee Cho, Ginkyeng Lee, Jaesik Choi
http://arxiv.org/abs/2004.12538v1
• [cs.LG]Knowledge Base Completion for Constructing Problem-Oriented Medical Records
James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David Sontag
http://arxiv.org/abs/2004.12905v1
• [cs.LG]Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
http://arxiv.org/abs/2004.12485v1
• [cs.LG]Learning to Guide Random Search
Ozan Sener, Vladlen Koltun
http://arxiv.org/abs/2004.12214v1
• [cs.LG]Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks
Youcheng Huang, Tangchen Wei, Jundong Zhou, Chunxin Yang
http://arxiv.org/abs/2004.12731v1
• [cs.LG]Local Graph Clustering with Network Lasso
Alexander Jung
http://arxiv.org/abs/2004.12199v1
• [cs.LG]Maximum Entropy Multi-Task Inverse RL
Saurabh Arora, Bikramjit Banerjee, Prashant Doshi
http://arxiv.org/abs/2004.12873v1
• [cs.LG]Memory-efficient training with streaming dimensionality reduction
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
http://arxiv.org/abs/2004.12041v1
• [cs.LG]Neural Network-Based Collaborative Filtering for Question Sequencing
Lior Sidi, Hadar Klein
http://arxiv.org/abs/2004.12212v1
• [cs.LG]NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function
Mohamed H. Abdelpakey, Mohamed S. Shehata
http://arxiv.org/abs/2004.12058v1
• [cs.LG]Order preserving hierarchical agglomerative clustering of strict posets
Daniel Bakkelund
http://arxiv.org/abs/2004.12488v1
• [cs.LG]Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh
http://arxiv.org/abs/2004.12254v1
• [cs.LG]Reinforcement Learning Generalization with Surprise Minimization
Jerry Zikun Chen
http://arxiv.org/abs/2004.12399v1
• [cs.LG]Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement
Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz
http://arxiv.org/abs/2004.12031v1
• [cs.LG]Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
Benjamin Shickel, Parisa Rashidi
http://arxiv.org/abs/2004.12524v1
• [cs.LG]Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN
Kazuya Nishimura, Ryoma Bise
http://arxiv.org/abs/2004.12531v1
• [cs.LG]Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Liming Zhang, Andreas Züfle, Dieter Pfoser
http://arxiv.org/abs/2004.12828v1
• [cs.LG]Symbolic Regression Driven by Training Data and Prior Knowledge
J. Kubalík, E. Derner, R. Babuška
http://arxiv.org/abs/2004.11947v1
• [cs.LG]The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
http://arxiv.org/abs/2004.12570v1
• [cs.LG]Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah Scott, Dan Lubman
http://arxiv.org/abs/2004.12092v1
• [cs.LG]Towards Accurate and Robust Domain Adaptation under Noisy Environments
Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin
http://arxiv.org/abs/2004.12529v1
• [cs.LG]Towards Differentiable Resampling
Michael Zhu, Kevin Murphy, Rico Jonschkowski
http://arxiv.org/abs/2004.11938v1
• [cs.LG]Towards Feature Space Adversarial Attack
Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang
http://arxiv.org/abs/2004.12385v1
• [cs.LG]Transferable Perturbations of Deep Feature Distributions
Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen
http://arxiv.org/abs/2004.12519v1
• [cs.LO]Algebraic Approach to Directed Rough Sets
Mani A, Sandor Radeleczki
http://arxiv.org/abs/2004.12171v1
• [cs.LO]An Epistemic Approach to the Formal Specification of Statistical Machine Learning
Yusuke Kawamoto
http://arxiv.org/abs/2004.12734v1
• [cs.MA]Information and Causality in Promise Theory
Mark Burgess
http://arxiv.org/abs/2004.12661v1
• [cs.MM]Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations
M. Belkhatir
http://arxiv.org/abs/2004.12038v1
• [cs.NE]A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
http://arxiv.org/abs/2004.12117v1
• [cs.NE]Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property
Weijie Zheng, Huanhuan Chen, Xin Yao
http://arxiv.org/abs/2004.12304v1
• [cs.NE]Evolutionary Multi-Objective Optimization for the Dynamic Knapsack Problem
Vahid Roostapour, Aneta Neumann, Frank Neumann
http://arxiv.org/abs/2004.12574v1
• [cs.NE]Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen Pilly, Andrea Soltoggio
http://arxiv.org/abs/2004.12846v1
• [cs.NE]Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner
http://arxiv.org/abs/2004.12762v1
• [cs.NE]MATE: A Model-based Algorithm Tuning Engine
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen
http://arxiv.org/abs/2004.12750v1
• [cs.NE]Neuromorphic Nearest-Neighbor Search Using Intel’s Pohoiki Springs
E. Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
http://arxiv.org/abs/2004.12691v1
• [cs.NE]The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Ragav Sachdeva, Frank Neumann, Markus Wagner
http://arxiv.org/abs/2004.12045v1
• [cs.NE]Why should we add early exits to neural networks?
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
http://arxiv.org/abs/2004.12814v1
• [cs.RO]A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control
David Navarro-Alarcon, Jiaming Qi, Jihong Zhu, Andrea Cherubini
http://arxiv.org/abs/2004.12097v1
• [cs.RO]A Point Cloud-Based Method for Automatic Groove Detection and Trajectory Generation of Robotic Arc Welding Tasks
Rui Peng, David Navarro-Alarcon, Victor Wu, Wen Yang
http://arxiv.org/abs/2004.12281v1
• [cs.RO]Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha Anavatti, Michael Barlow, Hussein A. Abbass
http://arxiv.org/abs/2004.11543v2
• [cs.RO]Continuous hand-eye calibration using 3D points
Bjarne Grossmann, Volker Krueger
http://arxiv.org/abs/2004.12611v1
• [cs.RO]Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques
Seid Miad Zandavi, Vera Chung, Ali Anaissi
http://arxiv.org/abs/2004.12886v1
• [cs.RO]EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Yanmin Wu, Yunzhou Zhang, Delong Zhu, Yonghui Feng, Sonya Coleman, Dermot Kerr
http://arxiv.org/abs/2004.12730v1
• [cs.RO]Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
http://arxiv.org/abs/2004.12974v1
• [cs.RO]Flight Control of Sliding Arm Quadcopter with Dynamic Structural Parameters
Rumit Kumar, Aditya M. Deshpande, James Z. Wells, Manish Kumar
http://arxiv.org/abs/2004.12920v1
• [cs.RO]GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Sicong Du, Hengkai Guo, Yao Chen, Yilun Lin, Xiangbing Meng, Linfu Wen, Fei-Yue Wang
http://arxiv.org/abs/2004.12051v1
• [cs.RO]Non-Linear Trajectory Optimization for Large Step-Ups: Application to the Humanoid Robot Atlas
Stefano Dafarra, Sylvain Bertrand, Robert J. Griffin, Giorgio Metta, Daniele Pucci, Jerry Pratt
http://arxiv.org/abs/2004.12083v1
• [cs.RO]On the Generalization Capability of Evolved Counter-propagation Neuro-controllers for Robot Navigation
Amiram Moshaiov, Michael Zadok
http://arxiv.org/abs/2004.12188v1
• [cs.RO]Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments
Èric Pairet, Juan David Hernández, Yvan Petillot, Morteza Lahijanian
http://arxiv.org/abs/2004.12317v1
• [cs.RO]Planning Actions by Interactive Movement Primitives: pushing occluding pieces to pick a ripe fruit
Sariah Mghames, Marc Hanheide, Amir Ghalamzan E
http://arxiv.org/abs/2004.12916v1
• [cs.RO]Social and Emotional Skills Training with Embodied Moxie
Nikki Hurst, Caitlyn Clabaugh, Rachel Baynes, Jeff Cohn, Donna Mitroff, Stefan Scherer
http://arxiv.org/abs/2004.12962v1
• [cs.SD]Jointly Trained Transformers models for Spoken Language Translation
Hari Krishna Vydana, Martin Karafi’at, Katerina Zmolikova, Luk’as Burget, Honza Cernocky
http://arxiv.org/abs/2004.12111v1
• [cs.SE]How Much Should I Pay? An Empirical Analysis on Monetary Prize in TopCoder
Mostaan Lotfalian Saremi, Razieh Saremi, Denisse Martinez-Mejorado
http://arxiv.org/abs/2004.12504v1
• [cs.SE]Is This the Right Time to Post My Task? An Empirical Analysis on a Task Similarity Arrival in TopCoder
Razieh Saremi, Mostaan Lotfalian Saremi, Prasad Desai, Robert Anzalone
http://arxiv.org/abs/2004.12501v1
• [cs.SI]A First Instagram Dataset on COVID-19
Koosha Zarei, Reza Farahbakhsh, Noel Crespi, Gareth Tyson
http://arxiv.org/abs/2004.12226v1
• [cs.SI]A Smartphone enabled Approach to Manage COVID-19 Lockdown and Economic Crisis
Halgurd S. Maghdid, Kayhan Zrar Ghafoor
http://arxiv.org/abs/2004.12240v1
• [cs.SI]Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks
Sameera Horawalavithana, John Skvoretz, Adriana Iamnitchi
http://arxiv.org/abs/2004.12373v1
• [cs.SI]Citation Cascade and the Evolution of Topic Relevance
Chao Min, Qingyu Chen, Erjia Yan, Yi Bu, Jianjun Sun
http://arxiv.org/abs/2004.12275v1
• [cs.SI]DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation
Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He
http://arxiv.org/abs/2004.12161v1
• [cs.SI]Hierarchical Clustering of World Cuisines
Tript Sharma, Utkarsh Upadhyay, Jushaan Kalra, Sakshi Arora, Saad Ahmad, Bhavay Aggarwal, Ganesh Bagler
http://arxiv.org/abs/2004.12283v1
• [cs.SI]How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions?
Aditya Gopalan, Himanshu Tyagi
http://arxiv.org/abs/2004.12782v1
• [cs.SI]Internet-human infrastructures: Lessons from Havana’s StreetNet
Abigail Z. Jacobs, Michaelanne Dye
http://arxiv.org/abs/2004.12207v1
• [cs.SI]Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio’
http://arxiv.org/abs/2004.11924v1
• [cs.SI]Methods for Computing Legal Document Similarity: A Comparative Study
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
http://arxiv.org/abs/2004.12307v1
• [cs.SI]Modeling Friendship Networks among Agents with Personality Traits
Heng-Chien Liou, Hung-Yun Hsieh
http://arxiv.org/abs/2004.12901v1
• [cs.SI]Optimal Decisions of a Rational Agent in the Presence of Biased Information Providers
H. Kesavareddigari, A. Eryilmaz
http://arxiv.org/abs/2004.12910v1
• [cs.SI]Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng
http://arxiv.org/abs/2004.12094v1
• [cs.SI]Why lockdown : On the spread of SARS-CoV-2 in India, a network approach
Pradumn Kumar Pandey, Bibhas Adhikari
http://arxiv.org/abs/2004.11973v1
• [econ.EM]Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity
Samuele Centorrino, María Pérez-Urdiales
http://arxiv.org/abs/2004.12369v1
• [eess.AS]Active Voice Authentication
Zhong Meng, M Umair Bin Altaf, Biing-Hwang, Juang
http://arxiv.org/abs/2004.12071v1
• [eess.AS]Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan
http://arxiv.org/abs/2004.12261v1
• [eess.IV]A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
http://arxiv.org/abs/2004.12823v1
• [eess.IV]A Survey on Domain Knowledge Powered Deep Learning for Medical Image Analysis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang
http://arxiv.org/abs/2004.12150v1
• [eess.IV]Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
Huayu Li, Xiwen Chen, Haiyu Wu, Zaoyi Chi, Christopher Mann, Abolfazl Razi
http://arxiv.org/abs/2004.12231v1
• [eess.IV]DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger, Christian R. Wirtz, Oliver Burgert
http://arxiv.org/abs/2004.12333v1
• [eess.IV]Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities
Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl
http://arxiv.org/abs/2004.12604v1
• [eess.IV]Joint Liver Lesion Segmentation and Classification via Transfer Learning
Michal Heker, Hayit Greenspan
http://arxiv.org/abs/2004.12352v1
• [eess.IV]OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images
Fabian Isensee, Klaus H. Maier-Hein
http://arxiv.org/abs/2004.12668v1
• [eess.IV]POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann
http://arxiv.org/abs/2004.12084v1
• [eess.IV]Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision
Junhua Sun, Zhou Zhang, Jie Zhang
http://arxiv.org/abs/2004.12697v1
• [eess.IV]Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
Tianyang Li, Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yanfei Hong, Jinyu Cong
http://arxiv.org/abs/2004.12592v1
• [eess.IV]Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images
Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne
http://arxiv.org/abs/2004.11989v1
• [eess.IV]Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang
http://arxiv.org/abs/2004.12537v1
• [eess.SP]Age-Aware Status Update Control for Energy Harvesting IoT Sensors via Reinforcement Learning
Mohammad Hatami, Mojtaba Jahandideh, Markus Leinonen, Marian Codreanu
http://arxiv.org/abs/2004.12684v1
• [eess.SP]Blind Data Detection in Massive MIMO via $\ell_3$-norm Maximization over the Stiefel Manifold
Ye Xue, Yifei Shen, Vincent Lau, Jun Zhang, Khaled B. Letaief
http://arxiv.org/abs/2004.12301v1
• [eess.SP]Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems
Shaocheng Huang, Yu Ye, Ming Xiao
http://arxiv.org/abs/2004.12917v1
• [eess.SP]Muscle Synergy and Coupling for Hand
Gang Liu, Jing Wang
http://arxiv.org/abs/2004.11910v1
• [eess.SY]Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
Weiming Xiang, Hoang-Dung Tran, Xiaodong Yang, Taylor T. Johnson
http://arxiv.org/abs/2004.12273v1
• [eess.SY]Subgoal Planning Algorithm for Autonomous Vehicle Guidance
Andrew Feit, Bérénice Mettler
http://arxiv.org/abs/2004.12526v1
• [math.CA]A unified view of space-time covariance functions through Gelfand pairs
Christian Berg
http://arxiv.org/abs/2004.12842v1
• [math.CO]The number of almost perfect nonlinear functions grows exponentially
Christian Kaspers, Yue Zhou
http://arxiv.org/abs/2004.11896v1
• [math.DS]Forty New Invariants of N-Periodics in the Elliptic Billiard
Dan Reznik, Ronaldo Garcia, Jair Koiller
http://arxiv.org/abs/2004.12497v1
• [math.NA]Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
http://arxiv.org/abs/2004.12670v1
• [math.NA]Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks
Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok
http://arxiv.org/abs/2004.12131v1
• [math.ST]Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index
Svetlana Litvinova, Mervyn J. Silvapulle
http://arxiv.org/abs/2004.12639v1
• [math.ST]Decision-theoretic foundations for statistical causality
A. Philip Dawid
http://arxiv.org/abs/2004.12493v1
• [math.ST]Efficient tests for bio-equivalence in functional data
Holger Dette, Kevin Kokot
http://arxiv.org/abs/2004.12364v1
• [math.ST]Learning discrete distributions with infinite support
Doron Cohen, Aryeh Kontorovich, Geoffrey Wolfer
http://arxiv.org/abs/2004.12680v1
• [math.ST]Limit laws for the norms of extremal samples
Peter Kevei, Lillian Oluoch, Laszlo Viharos
http://arxiv.org/abs/2004.12736v1
• [math.ST]Minimax testing and quadratic functional estimation for circular convolution
Sandra Schluttenhofer, Jan Johannes
http://arxiv.org/abs/2004.12714v1
• [math.ST]On Cumulative Residual (Past) Extropy of Extreme Order Statistics
Chanchal Kundu
http://arxiv.org/abs/2004.12787v1
• [math.ST]Spectral analysis of large reflexive generalized inverse and Moore-Penrose inverse matrices
Taras Bodnar, Nestor Parolya
http://arxiv.org/abs/2004.12932v1
• [math.ST]The Local Partial Autocorrelation Function and Some Applications
Rebecca Killick, Marina I. Knight, Guy P. Nason, Idris A. Eckley
http://arxiv.org/abs/2004.12716v1
• [physics.comp-ph]Neural Network Solutions to Differential Equations in Non-Convex Domains: Solving the Electric Field in the Slit-Well Microfluidic Device
Martin Magill, Andrew M. Nagel, Hendrick W. de Haan
http://arxiv.org/abs/2004.12235v1
• [physics.comp-ph]The Accuracy of Restricted Boltzmann Machine Models of Ising Systems
David Yevick, Roger Melko
http://arxiv.org/abs/2004.12867v1
• [physics.data-an]Parametric unfolding. Method and restrictions
Nikolay Gagunashvili
http://arxiv.org/abs/2004.12766v1
• [physics.soc-ph]Agent-Level Pandemic Simulation (ALPS) for Analyzing Effects of Lockdown Measures
Anuj Srivastava
http://arxiv.org/abs/2004.12250v1
• [physics.soc-ph]Analysing the combined health, social and economic impacts of the corovanvirus pandemic using agent-based social simulation
Frank Dignum, Virginia Dignum, Paul Davidsson, Amineh Ghorbani, Mijke van der Hurk, Maarten Jensen, Christian Kammler, Fabian Lorig, Luis Gustavo Ludescher, Alexander Melchior, René Mellema, Cezara Pastrav, Loïs Vanhee, Harko Verhagen
http://arxiv.org/abs/2004.12809v1
• [physics.soc-ph]Multiplex Markov Chains
Dane Taylor
http://arxiv.org/abs/2004.12820v1
• [physics.soc-ph]Optimal prediction of decisions and model selection in social dilemmas using block models
Sergio Cobo-Lopez, Antonia Godoy-Lorite, Jordi Duch, Marta Sales-Pardo, Roger Guimera
http://arxiv.org/abs/2004.12151v1
• [physics.soc-ph]Scaling laws and dynamics of hashtags on Twitter
Hongjia H. Chen, Tristram J. Alexander, Diego F. M. Oliveira, Eduardo G. Altmann
http://arxiv.org/abs/2004.12707v1
• [physics.space-ph]Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson
http://arxiv.org/abs/2004.12270v1
• [q-fin.TR]Trading Foreign Exchange Triplets
Álvaro Cartea, Sebastian Jaimungal, Tianyi Jia
http://arxiv.org/abs/2004.12011v1
• [quant-ph]Quantum machine learning and quantum biomimetics: A perspective
Lucas Lamata
http://arxiv.org/abs/2004.12076v1
• [stat.AP]An Epidemiological Modelling Approach for Covid19 via Data Assimilation
Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo
http://arxiv.org/abs/2004.12130v1
• [stat.AP]Assessment of research frameworks for on-farm experimentation through a simulation study of wheat yield in Japan
Takashi S. T. Tanaka
http://arxiv.org/abs/2004.12741v1
• [stat.AP]Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics
Snigdha Panigrahi, Shariq Mohammed, Arvind Rao, Veerabhadran Baladandayuthapani
http://arxiv.org/abs/2004.12012v1
• [stat.AP]Limiting Bias from Test-Control Interference in Online Marketplace Experiments
David Holtz, Sinan Aral
http://arxiv.org/abs/2004.12162v1
• [stat.ME]A Bayesian dose-response meta-analysis model: simulation study and application
Tasnim Hamza, Andrea Cipriani, Toshi A. Furukawa, Matthias Egger, Nicola Orsini, Georgia Salanti
http://arxiv.org/abs/2004.12737v1
• [stat.ME]A bimodal gamma distribution: Properties, regression model and applications
R. Vila, L. Ferreira, H. Saulo, F. Prataviera, E. M. M. Ortega
http://arxiv.org/abs/2004.12491v1
• [stat.ME]Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
Guanyu Hu, Yishu Xue, Zhihua Ma
http://arxiv.org/abs/2004.12022v1
• [stat.ME]Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization
Yichen Zhu, David B. Dunson
http://arxiv.org/abs/2004.12293v1
• [stat.ME]Efficient Quantile Tracking Using an Oracle
Hugo L. Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue
http://arxiv.org/abs/2004.12588v1
• [stat.ME]Incorporating historical information to improve phase I clinical trial designs
Yanhong Zhou, J. Jack Lee, Shunguang Wang, Stuart Bailey, Ying Yuan
http://arxiv.org/abs/2004.12972v1
• [stat.ME]Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
http://arxiv.org/abs/2004.12508v1
• [stat.ME]Nonparametric sequential change-point detection for multivariate time series based on empirical distribution functions
Ivan Kojadinovic, Ghislain Verdier
http://arxiv.org/abs/2004.12322v1
• [stat.ME]Recovering individual-level spatial inference from aggregated binary data
Nelson B. Walker, Trevor J. Hefley, Anne E. Ballmann, Robin E. Russell, Daniel P. Walsh
http://arxiv.org/abs/2004.12013v1
• [stat.ME]Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records
Yifei Sun, Charles E. McCulloch, Kieren A. Marr, Chiung-Yu Huang
http://arxiv.org/abs/2004.12234v1
• [stat.ME]Reducing Interference Bias in Online Marketplace Pricing Experiments
David Holtz, Ruben Lobel, Inessa Liskovich, Sinan Aral
http://arxiv.org/abs/2004.12489v1
• [stat.ME]Retrospective analysis of a fatal dose-finding trial
David C. Norris
http://arxiv.org/abs/2004.12755v1
• [stat.ME]Sparse Structures for Multivariate Extremes
Sebastian Engelke, Jevgenijs Ivanovs
http://arxiv.org/abs/2004.12182v1
• [stat.ME]Two-Stage Sparse Regression Screening to Detect Biomarker-Treatment Interactions in Randomized Clinical Trials
Jixiong Wang, Ashish Patel, James M. S. Wason, Paul J. Newcombe
http://arxiv.org/abs/2004.12028v1
• [stat.ML]Compromise-free Bayesian neural networks
Kamran Javid, Will Handley, Mike Hobson, Anthony Lasenby
http://arxiv.org/abs/2004.12211v1
• [stat.ML]Finite-sample analysis of interpolating linear classifiers in the overparameterized regime
Niladri S. Chatterji, Philip M. Long
http://arxiv.org/abs/2004.12019v1
• [stat.ML]Randomized spectral co-clustering for large-scale directed networks
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
http://arxiv.org/abs/2004.12164v1
• [stat.ML]Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite
http://arxiv.org/abs/2004.12983v1
• [stat.ML]The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal, Yoshua Bengio, Matthew Botvinick, Sergey Levine
http://arxiv.org/abs/2004.11935v1
• [stat.ML]Towards causal generative scene models via competition of experts
Julius von Kügelgen, Ivan Ustyuzhaninov, Peter Gehler, Matthias Bethge, Bernhard Schölkopf
http://arxiv.org/abs/2004.12906v1