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