cond-mat.stat-mech - 统计数学
cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DM - 离散数学 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 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-ph - 数学物理 math.CO - 组合数学 math.DS - 动力系统 math.HO - 历史与概述 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Topological Persistence Machine of Phase Transitions
• [cs.AI]COVID-19: Strategies for Allocation of Test Kits
• [cs.AI]DiagNet: towards a generic, Internet-scale root cause analysis solution
• [cs.AI]Guided Dialog Policy Learning without Adversarial Learning in the Loop
• [cs.AI]Neural Analogical Matching
• [cs.AI]Predicting Strategic Behavior from Free Text
• [cs.AR]Hardware Trojan Detection Using Controlled Circuit Aging
• [cs.CL]”You are grounded!”: Latent Name Artifacts in Pre-trained Language Models
• [cs.CL]A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products
• [cs.CL]A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
• [cs.CL]A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
• [cs.CL]A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages
• [cs.CL]An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines
• [cs.CL]Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
• [cs.CL]Automated Utterance Generation
• [cs.CL]Bootstrapping a Crosslingual Semantic Parser
• [cs.CL]Class-Agnostic Continual Learning of Alternating Languages and Domains
• [cs.CL]Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
• [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
• [cs.CL]Emergent Language Generalization and Acquisition Speed are not tied to Compositionality
• [cs.CL]Enhancing Review Comprehension with Domain-Specific Commonsense
• [cs.CL]Entity Linking via Dual and Cross-Attention Encoders
• [cs.CL]Evaluating the Evaluation of Diversity in Natural Language Generation
• [cs.CL]Exemplar Auditing for Multi-Label Biomedical Text Classification
• [cs.CL]Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
• [cs.CL]Improving Fluency of Non-Autoregressive Machine Translation
• [cs.CL]Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition
• [cs.CL]Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
• [cs.CL]Information-Theoretic Probing for Linguistic Structure
• [cs.CL]Interview: A Large-Scale Open-Source Corpus of Media Dialog
• [cs.CL]Is Graph Structure Necessary for Multi-hop Reasoning?
• [cs.CL]Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering
• [cs.CL]KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
• [cs.CL]Machine Translation with Unsupervised Length-Constraints
• [cs.CL]MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
• [cs.CL]More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
• [cs.CL]Multi-Step Inference for Reasoning Over Paragraphs
• [cs.CL]Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
• [cs.CL]Operationalizing the legal concept of ‘Incitement to Hatred’ as an NLP task
• [cs.CL]Query Focused Multi-Document Summarization with Distant Supervision
• [cs.CL]RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
• [cs.CL]Reinforced Multi-task Approach for Multi-hop Question Generation
• [cs.CL]Self-Induced Curriculum Learning in Neural Machine Translation
• [cs.CL]Speaker-change Aware CRF for Dialogue Act Classification
• [cs.CL]The Role of Pragmatic and Discourse Context in Determining Argument Impact
• [cs.CL]Towards Multimodal Simultaneous Neural Machine Translation
• [cs.CL]Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation
• [cs.CL]Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
• [cs.CL]Unsupervised Neural Machine Translation with Indirect Supervision
• [cs.CL]Variational Question-Answer Pair Generation for Machine Reading Comprehension
• [cs.CL]What do Models Learn from Question Answering Datasets?
• [cs.CL]Windowing Models for Abstractive Summarization of Long Texts
• [cs.CL]Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
• [cs.CL]g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset
• [cs.CV]A Discriminator Improves Unconditional Text Generation without Updating the Generator
• [cs.CV]A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
• [cs.CV]A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
• [cs.CV]A Method for Curation of Web-Scraped Face Image Datasets
• [cs.CV]Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
• [cs.CV]Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition
• [cs.CV]An Image Labeling Tool and Agricultural Dataset for Deep Learning
• [cs.CV]Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
• [cs.CV]Attribution in Scale and Space
• [cs.CV]Bayesian aggregation improves traditional single image crop classification approaches
• [cs.CV]Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking
• [cs.CV]Cascaded Refinement Network for Point Cloud Completion
• [cs.CV]DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
• [cs.CV]Deblurring using Analysis-Synthesis Networks Pair
• [cs.CV]Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications
• [cs.CV]Dense Regression Network for Video Grounding
• [cs.CV]Depth Sensing Beyond LiDAR Range
• [cs.CV]Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
• [cs.CV]Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking
• [cs.CV]Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors
• [cs.CV]End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
• [cs.CV]Event Based, Near Eye Gaze Tracking Beyond 10,000Hz
• [cs.CV]Feature Pyramid Grids
• [cs.CV]Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
• [cs.CV]Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach
• [cs.CV]Generative Adversarial Zero-shot Learning via Knowledge Graphs
• [cs.CV]Hierarchical Opacity Propagation for Image Matting
• [cs.CV]Human Motion Transfer from Poses in the Wild
• [cs.CV]Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control
• [cs.CV]Inclusive GAN: Improving Data and Minority Coverage in Generative Models
• [cs.CV]LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood
• [cs.CV]Learning Generative Models of Shape Handles
• [cs.CV]MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
• [cs.CV]MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
• [cs.CV]Manifold-driven Attention Maps for Weakly Supervised Segmentation
• [cs.CV]Motion-supervised Co-Part Segmentation
• [cs.CV]Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
• [cs.CV]Neural Image Inpainting Guided with Descriptive Text
• [cs.CV]Nonparametric Data Analysis on the Space of Perceived Colors
• [cs.CV]Objectness-Aware One-Shot Semantic Segmentation
• [cs.CV]Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
• [cs.CV]Pyramid Focusing Network for mutation prediction and classification in CT images
• [cs.CV]RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
• [cs.CV]Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
• [cs.CV]SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition
• [cs.CV]Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes
• [cs.CV]Temporal Pyramid Network for Action Recognition
• [cs.CV]Toward Fine-grained Facial Expression Manipulation
• [cs.CV]Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing
• [cs.CV]Unsupervised Person Re-identification via Softened Similarity Learning
• [cs.CV]Utilising Prior Knowledge for Visual Navigation: Distil and Adapt
• [cs.CV]When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
• [cs.DB]GeoFlink: A Framework for the Real-time Processing of Spatial Streams
• [cs.DB]Learning Individual Models for Imputation (Technical Report)
• [cs.DC]Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers
• [cs.DC]Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
• [cs.DC]LUDA: Boost LSM Key Value Store Compactions with GPUs
• [cs.DC]Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism
• [cs.DL]On the Persistence of Persistent Identifiers of the Scholarly Web
• [cs.DM]Graph Distances and Clustering
• [cs.DM]On the Number of Factorizations of Polynomials over Finite Fields
• [cs.GR]Iconify: Converting Photographs into Icons
• [cs.HC]BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
• [cs.HC]Pedagogical Agents for Fostering Question-Asking Skills in Children
• [cs.IR]Discovering associations in COVID-19 related research papers
• [cs.IR]Testing pre-trained Transformer models for Lithuanian news clustering
• [cs.IT]A Spatial Time-Frequency Hopping Index Modulated Scheme in Turbulence-free Optical Wireless Communication Channels
• [cs.IT]Contention-based Grant-free Transmission with Independent Multi-pilot Scheme
• [cs.IT]Exact separation of forbidden-set cuts associated with redundant parity checks of binary linear codes
• [cs.IT]Markov Decision Process Based Design of SWIPT Systems: Non-linear EH Circuits, Memory, and Impedance Mismatch
• [cs.IT]Near-Optimal Sparse Adaptive Group Testing
• [cs.IT]On Decoding of Generalized Concatenated Codes and Matrix-Product Codes
• [cs.IT]Successive Eigenvalue Removal for Multi-Soliton Spectral Amplitude Estimation
• [cs.LG]Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using $α$-Divergence
• [cs.LG]Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
• [cs.LG]Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems
• [cs.LG]CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification
• [cs.LG]Capsule Networks — A Probabilistic Perspective
• [cs.LG]Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise
• [cs.LG]Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
• [cs.LG]Deep Neural Network Learning with Second-Order Optimizers — a Practical Study with a Stochastic Quasi-Gauss-Newton Method
• [cs.LG]Direct loss minimization for sparse Gaussian processes
• [cs.LG]Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
• [cs.LG]Evolving Normalization-Activation Layers
• [cs.LG]Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios
• [cs.LG]Forecasting in multivariate irregularly sampled time series with missing values
• [cs.LG]Generalized Label Enhancement with Sample Correlations
• [cs.LG]How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
• [cs.LG]Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
• [cs.LG]Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
• [cs.LG]Inspector Gadget: A Data Programming-based Labeling System for Industrial Images
• [cs.LG]Learning from Imperfect Annotations
• [cs.LG]Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
• [cs.LG]MedDialog: A Large-scale Medical Dialogue Dataset
• [cs.LG]Model-Agnostic Characterization of Fairness Trade-offs
• [cs.LG]On the Complexity of Learning from Label Proportions
• [cs.LG]Online Constrained Model-based Reinforcement Learning
• [cs.LG]Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning
• [cs.LG]QuantNet: Transferring Learning Across Systematic Trading Strategies
• [cs.LG]Repulsive Mixture Models of Exponential Family PCA for Clustering
• [cs.LG]TSInsight: A local-global attribution framework for interpretability in time-series data
• [cs.LG]Teacher-Class Network: A Neural Network Compression Mechanism
• [cs.LG]Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning
• [cs.LG]Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification
• [cs.LG]Uniform State Abstraction For Reinforcement Learning
• [cs.NE]Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation Methods
• [cs.NE]Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
• [cs.NE]Specific Single- and Multi-Objective Evolutionary Algorithmsfor the Chance-Constrained Knapsack Problem
• [cs.NE]The multi-objective optimisation of breakwaters using evolutionary approach
• [cs.PF]The State of Research on Function-as-a-Service Performance Evaluation: A Multivocal Literature Review
• [cs.RO]CrowdSteer: Realtime Smooth and Collision-Free Robot Navigation in Dense Crowd Scenarios Trained using High-Fidelity Simulation
• [cs.RO]Curved patch mapping and tracking for irregular terrain modeling: Application to bipedal robot foot placement
• [cs.RO]Human-Guided Planner for Non-Prehensile Manipulation
• [cs.RO]Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
• [cs.RO]Self-propulsion on spandex: toward a robotic analog gravity system
• [cs.RO]Series Elastic Force Control for Soft Robotic Fluid Actuators
• [cs.RO]Variable Autonomy of Whole-body Control for Inspection and Intervention in Industrial Environments using Legged Robots
• [cs.SE]Improved Code Summarization via a Graph Neural Network
• [cs.SI]A Few Topical Tweets are Enough for Effective User-Level Stance Detection
• [cs.SI]Gender-specific behavior change following terror attacks
• [cs.SI]General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
• [cs.SI]Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis — A Computational Content Analysis
• [cs.SI]Routine pattern discovery and anomaly detection in individual travel behavior
• [econ.EM]Robust Empirical Bayes Confidence Intervals
• [eess.AS]Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition
• [eess.AS]Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification
• [eess.AS]SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement
• [eess.IV]Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
• [eess.IV]Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
• [eess.IV]COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images
• [eess.IV]Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
• [eess.IV]Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
• [eess.IV]Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
• [eess.IV]Exploiting context dependence for image compression with upsampling
• [eess.IV]Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
• [eess.IV]Plug-and-play ISTA converges with kernel denoisers
• [eess.IV]Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
• [eess.IV]U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
• [eess.SP]A Comprehensive Study of Reconfigurable Intelligent Surfaces in Generalized Fading
• [eess.SP]Efficient Task Mapping for Manycore Systems
• [eess.SP]LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
• [eess.SP]Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
• [eess.SP]Performance of Wireless Powered Cognitive Radio Sensor Networks With Nonlinear Energy Harvester
• [eess.SP]Pooling in Graph Convolutional Neural Networks
• [eess.SP]Reconfigurable Intelligent Surface-Empowered MIMO Systems
• [eess.SP]Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission with Statistical CSIT
• [eess.SP]Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning
• [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
• [eess.SY]Learning Control Barrier Functions from Expert Demonstrations
• [math-ph]A System of Billiard and Its Application to Information-Theoretic Entropy
• [math.CO]Strengthening of the Assmus—Mattson theorem for some dual codes
• [math.DS]Circuminvariants of 3-Periodics in the Elliptic Billiard
• [math.HO]Arithmetic, Geometry, and Coding Theory: Homage to Gilles Lachaud
• [math.OC]Directional approach to gradual cover: the continuous case
• [math.OC]Nonparametric Estimation of Uncertainty Sets for Robust Optimization
• [math.ST]Model selection in the space of Gaussian models invariant by symmetry
• [math.ST]Nonparametric Estimation for I.I.D. Paths of Fractional SDE
• [math.ST]On the Theory of Covariate-Adaptive Designs
• [math.ST]Testing Equality of Spectral Density Operators for Functional Processes
• [math.ST]The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions
• [physics.soc-ph]A Network Percolation-based Contagion Model of Flood Propagation and Recession in Urban Road Networks
• [physics.soc-ph]Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
• [physics.soc-ph]Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks
• [physics.soc-ph]Statistical properties of telephone communication network
• [physics.soc-ph]The geographic spread of COVID-19 correlates with structure of social networks as measured by Facebook
• [q-bio.PE]Covid-19 — A simple statistical model for predicting ICU load in exponential phases of the disease
• [q-bio.PE]Prediction of COVID-19 Disease Progression in India : Under the Effect of National Lockdown
• [q-bio.QM]Multilingual enrichment of disease biomedical ontologies
• [stat.AP]A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy
• [stat.AP]Modeling and presentation of vaccination coverage estimates using data from household surveys
• [stat.AP]Modelling death rates due to COVID-19: A Bayesian approach
• [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
• [stat.AP]Variable pool testing for infection spread estimation
• [stat.CO]Bootstraps Regularize Singular Correlation Matrices
• [stat.ME]Forecasting count data using time series model with exponentially decaying covariance structure
• [stat.ME]Latent Network Structure Learning from High Dimensional Multivariate Point Processes
• [stat.ME]Optimal Projections for Gaussian Discriminants
• [stat.ML]Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation
• [stat.ML]Disentangled sticky hierarchical Dirichlet process hidden Markov model
• [stat.ML]From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture
• [stat.ML]Parametrization of Neural Networks with Connected Abelian Lie Groups as Data Manifold
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• [cond-mat.stat-mech]Topological Persistence Machine of Phase Transitions
Quoc Hoan Tran, Mark Chen, Yoshihiko Hasegawa
http://arxiv.org/abs/2004.03169v1
• [cs.AI]COVID-19: Strategies for Allocation of Test Kits
Arpita Biswas, Shruthi Bannur, Prateek Jain, Srujana Merugu
http://arxiv.org/abs/2004.01740v1
• [cs.AI]DiagNet: towards a generic, Internet-scale root cause analysis solution
Loïck Bonniot, Christoph Neumann, François Taïani
http://arxiv.org/abs/2004.03343v1
• [cs.AI]Guided Dialog Policy Learning without Adversarial Learning in the Loop
Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, Jianfeng Gao
http://arxiv.org/abs/2004.03267v1
• [cs.AI]Neural Analogical Matching
Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth Forbus
http://arxiv.org/abs/2004.03573v1
• [cs.AI]Predicting Strategic Behavior from Free Text
Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz
http://arxiv.org/abs/2004.02973v1
• [cs.AR]Hardware Trojan Detection Using Controlled Circuit Aging
Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jörg Henkel, Ramesh Karri, Farshad Khorrami
http://arxiv.org/abs/2004.02997v1
• [cs.CL]“You are grounded!”: Latent Name Artifacts in Pre-trained Language Models
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
http://arxiv.org/abs/2004.03012v1
• [cs.CL]A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products
Saskia Schön, Veselina Mironova, Aleksandra Gabryszak, Leonhard Hennig
http://arxiv.org/abs/2004.03287v1
• [cs.CL]A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig
http://arxiv.org/abs/2004.03283v1
• [cs.CL]A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
http://arxiv.org/abs/2004.03116v1
• [cs.CL]A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages
Daniel Edmiston
http://arxiv.org/abs/2004.03032v1
• [cs.CL]An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines
Elena Álvarez-Mellado
http://arxiv.org/abs/2004.02929v1
• [cs.CL]Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, Adina Williams
http://arxiv.org/abs/2004.03066v1
• [cs.CL]Automated Utterance Generation
Soham Parikh, Quaizar Vohra, Mitul Tiwari
http://arxiv.org/abs/2004.03484v1
• [cs.CL]Bootstrapping a Crosslingual Semantic Parser
Tom Sherborne, Yumo Xu, Mirella Lapata
http://arxiv.org/abs/2004.02585v2
• [cs.CL]Class-Agnostic Continual Learning of Alternating Languages and Domains
Germán Kruszewski, Ionut-Teodor Sorodoc, Tomas Mikolov
http://arxiv.org/abs/2004.03340v1
• [cs.CL]Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin
http://arxiv.org/abs/2004.02594v2
• [cs.CL]Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Su Zhu, Jieyu Li, Lu Chen, Kai Yu
http://arxiv.org/abs/2004.03386v1
• [cs.CL]Emergent Language Generalization and Acquisition Speed are not tied to Compositionality
Eugene Kharitonov, Marco Baroni
http://arxiv.org/abs/2004.03420v1
• [cs.CL]Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Cagatay Demiralp, Wang-Chiew Tan
http://arxiv.org/abs/2004.03020v1
• [cs.CL]Entity Linking via Dual and Cross-Attention Encoders
Oshin Agarwal, Daniel M. Bikel
http://arxiv.org/abs/2004.03555v1
• [cs.CL]Evaluating the Evaluation of Diversity in Natural Language Generation
Guy Tevet, Jonathan Berant
http://arxiv.org/abs/2004.02990v1
• [cs.CL]Exemplar Auditing for Multi-Label Biomedical Text Classification
Allen Schmaltz, Andrew Beam
http://arxiv.org/abs/2004.03093v1
• [cs.CL]Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
Muhammad Asif Ali, Yifang Sun, Bing Li, Wei Wang
http://arxiv.org/abs/2004.03554v1
• [cs.CL]Improving Fluency of Non-Autoregressive Machine Translation
Zdeněk Kasner, Jindřich Libovický, Jindřich Helcl
http://arxiv.org/abs/2004.03227v1
• [cs.CL]Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition
Nina Poerner, Ulli Waltinger, Hinrich Schütze
http://arxiv.org/abs/2004.03354v1
• [cs.CL]Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou
http://arxiv.org/abs/2004.03070v1
• [cs.CL]Information-Theoretic Probing for Linguistic Structure
Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell
http://arxiv.org/abs/2004.03061v1
• [cs.CL]Interview: A Large-Scale Open-Source Corpus of Media Dialog
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
http://arxiv.org/abs/2004.03090v1
• [cs.CL]Is Graph Structure Necessary for Multi-hop Reasoning?
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
http://arxiv.org/abs/2004.03096v1
• [cs.CL]Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering
Pratyay Banerjee, Chitta Baral
http://arxiv.org/abs/2004.03101v1
• [cs.CL]KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
Jiyeon Ham, Yo Joong Choe, Kyubyong Park, Ilji Choi, Hyungjoon Soh
http://arxiv.org/abs/2004.03289v1
• [cs.CL]Machine Translation with Unsupervised Length-Constraints
Jan Niehues
http://arxiv.org/abs/2004.03176v1
• [cs.CL]MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
http://arxiv.org/abs/2004.02984v1
• [cs.CL]More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
http://arxiv.org/abs/2004.03186v1
• [cs.CL]Multi-Step Inference for Reasoning Over Paragraphs
Jiangming Liu, Matt Gardner
http://arxiv.org/abs/2004.02995v1
• [cs.CL]Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon
http://arxiv.org/abs/2004.03133v1
• [cs.CL]Operationalizing the legal concept of ‘Incitement to Hatred’ as an NLP task
Frederike Zufall, Huangpan Zhang, Katharina Kloppenborg, Torsten Zesch
http://arxiv.org/abs/2004.03422v1
• [cs.CL]Query Focused Multi-Document Summarization with Distant Supervision
Yumo Xu, Mirella Lapata
http://arxiv.org/abs/2004.03027v1
• [cs.CL]RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, Dong Ryeol Shin
http://arxiv.org/abs/2004.03125v1
• [cs.CL]Reinforced Multi-task Approach for Multi-hop Question Generation
Deepak Gupta, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya
http://arxiv.org/abs/2004.02143v2
• [cs.CL]Self-Induced Curriculum Learning in Neural Machine Translation
Dana Ruiter, Cristina España-Bonet, Josef van Genabith
http://arxiv.org/abs/2004.03151v1
• [cs.CL]Speaker-change Aware CRF for Dialogue Act Classification
Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré
http://arxiv.org/abs/2004.02913v1
• [cs.CL]The Role of Pragmatic and Discourse Context in Determining Argument Impact
Esin Durmus, Faisal Ladhak, Claire Cardie
http://arxiv.org/abs/2004.03034v1
• [cs.CL]Towards Multimodal Simultaneous Neural Machine Translation
Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi
http://arxiv.org/abs/2004.03180v1
• [cs.CL]Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation
Bowen Wu, Huan Zhang, Mengyuan Li, Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang
http://arxiv.org/abs/2004.03097v1
• [cs.CL]Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
Changmao Li, Jinho D. Choi
http://arxiv.org/abs/2004.03561v1
• [cs.CL]Unsupervised Neural Machine Translation with Indirect Supervision
Hongxiao Bai, Mingxuan Wang, Hai Zhao, Lei Li
http://arxiv.org/abs/2004.03137v1
• [cs.CL]Variational Question-Answer Pair Generation for Machine Reading Comprehension
Kazutoshi Shinoda, Akiko Aizawa
http://arxiv.org/abs/2004.03238v1
• [cs.CL]What do Models Learn from Question Answering Datasets?
Priyanka Sen, Amir Saffari
http://arxiv.org/abs/2004.03490v1
• [cs.CL]Windowing Models for Abstractive Summarization of Long Texts
Leon Schüller, Florian Wilhelm, Nico Kreiling, Goran Glavaš
http://arxiv.org/abs/2004.03324v1
• [cs.CL]Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Xusen Yin, Jonathan May
http://arxiv.org/abs/2004.02986v1
• [cs.CL]g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset
Kyubyong Park, Seanie Lee
http://arxiv.org/abs/2004.03136v1
• [cs.CV]A Discriminator Improves Unconditional Text Generation without Updating the Generator
Xingyuan Chen, Ping Cai, Peng Jin, Hongjun Wang, Xingyu Dai, Jiajun Chen
http://arxiv.org/abs/2004.02135v2
• [cs.CV]A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
Lukas Liebel, Ksenia Bittner, Marco Körner
http://arxiv.org/abs/2004.02493v2
• [cs.CV]A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin
http://arxiv.org/abs/2004.02678v2
• [cs.CV]A Method for Curation of Web-Scraped Face Image Datasets
Kai Zhang, Vítor Albiero, Kevin W. Bowyer
http://arxiv.org/abs/2004.03074v1
• [cs.CV]Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan
http://arxiv.org/abs/2004.03015v1
• [cs.CV]Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition
Yang Zhang, Changhui Hu, Xiaobo Lu
http://arxiv.org/abs/2004.03153v1
• [cs.CV]An Image Labeling Tool and Agricultural Dataset for Deep Learning
Patrick Wspanialy, Justin Brooks, Medhat Moussa
http://arxiv.org/abs/2004.03351v1
• [cs.CV]Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen
http://arxiv.org/abs/2004.02108v2
• [cs.CV]Attribution in Scale and Space
Shawn Xu, Subashini Venugopalan, Mukund Sundararajan
http://arxiv.org/abs/2004.03383v1
• [cs.CV]Bayesian aggregation improves traditional single image crop classification approaches
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan Oseledets
http://arxiv.org/abs/2004.03468v1
• [cs.CV]Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking
Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
http://arxiv.org/abs/2004.02932v1
• [cs.CV]Cascaded Refinement Network for Point Cloud Completion
Xiaogang Wang, Marcelo H Ang Jr, Gim Hee Lee
http://arxiv.org/abs/2004.03327v1
• [cs.CV]DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang
http://arxiv.org/abs/2004.02164v2
• [cs.CV]Deblurring using Analysis-Synthesis Networks Pair
Adam Kaufman, Raanan Fattal
http://arxiv.org/abs/2004.02956v1
• [cs.CV]Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications
María J. Gómez-Silva
http://arxiv.org/abs/2004.03531v1
• [cs.CV]Dense Regression Network for Video Grounding
Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan
http://arxiv.org/abs/2004.03545v1
• [cs.CV]Depth Sensing Beyond LiDAR Range
Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen
http://arxiv.org/abs/2004.03048v1
• [cs.CV]Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao
http://arxiv.org/abs/2004.03572v1
• [cs.CV]Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking
Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
http://arxiv.org/abs/2004.02933v1
• [cs.CV]Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors
Ali Borji
http://arxiv.org/abs/2004.02877v1
• [cs.CV]End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
http://arxiv.org/abs/2004.03080v1
• [cs.CV]Event Based, Near Eye Gaze Tracking Beyond 10,000Hz
Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jorg Conradt, Gordon Wetzstein
http://arxiv.org/abs/2004.03577v1
• [cs.CV]Feature Pyramid Grids
Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer
http://arxiv.org/abs/2004.03580v1
• [cs.CV]Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef
http://arxiv.org/abs/2004.03023v1
• [cs.CV]Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach
Steven A. Grosz, Tarang Chugh, Anil K. Jain
http://arxiv.org/abs/2004.02941v1
• [cs.CV]Generative Adversarial Zero-shot Learning via Knowledge Graphs
Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen
http://arxiv.org/abs/2004.03109v1
• [cs.CV]Hierarchical Opacity Propagation for Image Matting
Yaoyi Li, Qingyao Xu, Hongtao Lu
http://arxiv.org/abs/2004.03249v1
• [cs.CV]Human Motion Transfer from Poses in the Wild
Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang
http://arxiv.org/abs/2004.03142v1
• [cs.CV]Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
http://arxiv.org/abs/2004.03373v1
• [cs.CV]Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
http://arxiv.org/abs/2004.03355v1
• [cs.CV]LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood
Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
http://arxiv.org/abs/2004.02980v1
• [cs.CV]Learning Generative Models of Shape Handles
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
http://arxiv.org/abs/2004.03028v1
• [cs.CV]MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning
Jingjing Chen, Jichao Zhang, Jiayuan Fan, Tao Chen, Enver Sangineto, Nicu Sebe
http://arxiv.org/abs/2004.03064v1
• [cs.CV]MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
Yang Zheng, Izzat H. Izzat, Sanling Song
http://arxiv.org/abs/2004.03401v1
• [cs.CV]Manifold-driven Attention Maps for Weakly Supervised Segmentation
Sukesh Adiga V, Jose Dolz, Herve Lombaert
http://arxiv.org/abs/2004.03046v1
• [cs.CV]Motion-supervised Co-Part Segmentation
Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe
http://arxiv.org/abs/2004.03234v1
• [cs.CV]Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng, Haizhou Ai, Zijie Zhuang, Long Chen
http://arxiv.org/abs/2004.03164v1
• [cs.CV]Neural Image Inpainting Guided with Descriptive Text
Lisai Zhang, Qingcai Chen, Baotian Hu, Shuoran Jiang
http://arxiv.org/abs/2004.03212v1
• [cs.CV]Nonparametric Data Analysis on the Space of Perceived Colors
Vic Patrangenaru, Yifang Deng
http://arxiv.org/abs/2004.03402v1
• [cs.CV]Objectness-Aware One-Shot Semantic Segmentation
Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari
http://arxiv.org/abs/2004.02945v1
• [cs.CV]Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
Zhe Wang, Daeyun Shin, Charless C. Fowlkes
http://arxiv.org/abs/2004.03143v1
• [cs.CV]Pyramid Focusing Network for mutation prediction and classification in CT images
Xukun Zhang, Wenxin Hu, Wen Wu
http://arxiv.org/abs/2004.03302v1
• [cs.CV]RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
http://arxiv.org/abs/2004.03451v1
• [cs.CV]Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D’Oro, Marco Gallieri, Jonathan Masci
http://arxiv.org/abs/2004.03156v1
• [cs.CV]SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
http://arxiv.org/abs/2004.03259v1
• [cs.CV]Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes
Tong ZHENG, Hirohisa ODA, Takayasu MORIYA, Takaaki SUGINO, Shota NAKAMURA, Masahiro ODA, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Kensaku MORI
http://arxiv.org/abs/2004.03272v1
• [cs.CV]Temporal Pyramid Network for Action Recognition
Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou
http://arxiv.org/abs/2004.03548v1
• [cs.CV]Toward Fine-grained Facial Expression Manipulation
Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu
http://arxiv.org/abs/2004.03132v1
• [cs.CV]Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing
Huikai Shao, Dexing Zhong, Xuefeng Du
http://arxiv.org/abs/2004.03303v1
• [cs.CV]Unsupervised Person Re-identification via Softened Similarity Learning
Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian
http://arxiv.org/abs/2004.03547v1
• [cs.CV]Utilising Prior Knowledge for Visual Navigation: Distil and Adapt
M. Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi
http://arxiv.org/abs/2004.03222v1
• [cs.CV]When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella Atkins, David Crandall
http://arxiv.org/abs/2004.03044v1
• [cs.DB]GeoFlink: A Framework for the Real-time Processing of Spatial Streams
Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim
http://arxiv.org/abs/2004.03352v1
• [cs.DB]Learning Individual Models for Imputation (Technical Report)
Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang
http://arxiv.org/abs/2004.03436v1
• [cs.DC]Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers
Shijian Li, Robert J. Walls, Tian Guo
http://arxiv.org/abs/2004.03072v1
• [cs.DC]Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
http://arxiv.org/abs/2004.01953v2
• [cs.DC]LUDA: Boost LSM Key Value Store Compactions with GPUs
Peng Xu, Jiguang Wan, Ping Huang, Xiaogang Yang, Chenlei Tang, Fei Wu, Changsheng Xie
http://arxiv.org/abs/2004.03054v1
• [cs.DC]Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism
M. Maronas, K. Sala, S. Mateo, E. Ayguadé, V. Beltran Barcelona Supercomputing Center
http://arxiv.org/abs/2004.03258v1
• [cs.DL]On the Persistence of Persistent Identifiers of the Scholarly Web
Martin Klein, Lyudmila Balakireva
http://arxiv.org/abs/2004.03011v1
• [cs.DM]Graph Distances and Clustering
Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas Pitsoulis, Yuri Lawryshyn
http://arxiv.org/abs/2004.03016v1
• [cs.DM]On the Number of Factorizations of Polynomials over Finite Fields
Rachel N. Berman, Ron M. Roth
http://arxiv.org/abs/2004.03058v1
• [cs.GR]Iconify: Converting Photographs into Icons
Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida
http://arxiv.org/abs/2004.03179v1
• [cs.HC]BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento
http://arxiv.org/abs/2004.03500v1
• [cs.HC]Pedagogical Agents for Fostering Question-Asking Skills in Children
Mehdi Alaimi, Edith Law, Kevin Daniel Pantasdo, Pierre-Yves Oudeyer, Helene Sauzeon
http://arxiv.org/abs/2004.03472v1
• [cs.IR]Discovering associations in COVID-19 related research papers
Iztok Fister Jr., Karin Fister, Iztok Fister
http://arxiv.org/abs/2004.03397v1
• [cs.IR]Testing pre-trained Transformer models for Lithuanian news clustering
Lukas Stankevičius, Mantas Lukoševičius
http://arxiv.org/abs/2004.03461v1
• [cs.IT]A Spatial Time-Frequency Hopping Index Modulated Scheme in Turbulence-free Optical Wireless Communication Channels
Francisco J. Escribano, Alexandre Wagemakers, Georges Kaddoum, Joao V. C. Evangelista
http://arxiv.org/abs/2004.03008v1
• [cs.IT]Contention-based Grant-free Transmission with Independent Multi-pilot Scheme
Zhifeng Yuan, Weimin Li, Zhigang Li, Yuzhou Hu, Yihua Ma
http://arxiv.org/abs/2004.03225v1
• [cs.IT]Exact separation of forbidden-set cuts associated with redundant parity checks of binary linear codes
Christian Puchert, Andreas M. Tillmann
http://arxiv.org/abs/2004.03387v1
• [cs.IT]Markov Decision Process Based Design of SWIPT Systems: Non-linear EH Circuits, Memory, and Impedance Mismatch
Nikita Shanin, Laura Cottatellucci, Robert Schober
http://arxiv.org/abs/2004.03429v1
• [cs.IT]Near-Optimal Sparse Adaptive Group Testing
Nelvin Tan, Jonathan Scarlett
http://arxiv.org/abs/2004.03119v1
• [cs.IT]On Decoding of Generalized Concatenated Codes and Matrix-Product Codes
Ferdinand Blomqvist, Oliver W. Gnilke, Marcus Greferath
http://arxiv.org/abs/2004.03538v1
• [cs.IT]Successive Eigenvalue Removal for Multi-Soliton Spectral Amplitude Estimation
Alexander Span, Vahid Aref, Henning Buelow, Stephan ten Brink
http://arxiv.org/abs/2004.02974v1
• [cs.LG]Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using $α$-Divergence
Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus
http://arxiv.org/abs/2004.03139v1
• [cs.LG]Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
http://arxiv.org/abs/2004.02786v2
• [cs.LG]Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems
Jing Pan, Vincent Pham, Mohan Dorairaj, Huigang Chen, Jeong-Yoon Lee
http://arxiv.org/abs/2004.03045v1
• [cs.LG]CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification
Michał Koziarski
http://arxiv.org/abs/2004.03409v1
• [cs.LG]Capsule Networks — A Probabilistic Perspective
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk
http://arxiv.org/abs/2004.03553v1
• [cs.LG]Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise
Michał Koziarski, Michał Woźniak, Bartosz Krawczyk
http://arxiv.org/abs/2004.03406v1
• [cs.LG]Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen
http://arxiv.org/abs/2004.03106v1
• [cs.LG]Deep Neural Network Learning with Second-Order Optimizers — a Practical Study with a Stochastic Quasi-Gauss-Newton Method
Christopher Thiele, Mauricio Araya-Polo, Detlef Hohl
http://arxiv.org/abs/2004.03040v1
• [cs.LG]Direct loss minimization for sparse Gaussian processes
Yadi Wei, Rishit Sheth, Roni Khardon
http://arxiv.org/abs/2004.03083v1
• [cs.LG]Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay
http://arxiv.org/abs/2004.02942v1
• [cs.LG]Evolving Normalization-Activation Layers
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
http://arxiv.org/abs/2004.02967v1
• [cs.LG]Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios
Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando
http://arxiv.org/abs/2004.03295v1
• [cs.LG]Forecasting in multivariate irregularly sampled time series with missing values
Shivam Srivastava, Prithviraj Sen, Berthold Reinwald
http://arxiv.org/abs/2004.03398v1
• [cs.LG]Generalized Label Enhancement with Sample Correlations
Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu
http://arxiv.org/abs/2004.03104v1
• [cs.LG]How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes, Moritz Schneider, Tobias Meisen
http://arxiv.org/abs/2004.03237v1
• [cs.LG]Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang
http://arxiv.org/abs/2004.02182v2
• [cs.LG]Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
http://arxiv.org/abs/2004.03188v1
• [cs.LG]Inspector Gadget: A Data Programming-based Labeling System for Industrial Images
Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Euijong Whang
http://arxiv.org/abs/2004.03264v1
• [cs.LG]Learning from Imperfect Annotations
Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric Xing, Tom Mitchell
http://arxiv.org/abs/2004.03473v1
• [cs.LG]Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu
http://arxiv.org/abs/2004.01732v1
• [cs.LG]MedDialog: A Large-scale Medical Dialogue Dataset
Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie
http://arxiv.org/abs/2004.03329v1
• [cs.LG]Model-Agnostic Characterization of Fairness Trade-offs
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
http://arxiv.org/abs/2004.03424v1
• [cs.LG]On the Complexity of Learning from Label Proportions
Benjamin Fish, Lev Reyzin
http://arxiv.org/abs/2004.03515v1
• [cs.LG]Online Constrained Model-based Reinforcement Learning
Benjamin van Niekerk, Andreas Damianou, Benjamin Rosman
http://arxiv.org/abs/2004.03499v1
• [cs.LG]Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning
Gustavo A. Valencia-Zapata, Okan Ersoy, Carolina Gonzalez-Canas, Michael G. Zentner, Gerhard Klimeck
http://arxiv.org/abs/2004.02988v1
• [cs.LG]QuantNet: Transferring Learning Across Systematic Trading Strategies
Adriano Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip Treleaven
http://arxiv.org/abs/2004.03445v1
• [cs.LG]Repulsive Mixture Models of Exponential Family PCA for Clustering
Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao
http://arxiv.org/abs/2004.03112v1
• [cs.LG]TSInsight: A local-global attribution framework for interpretability in time-series data
Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed
http://arxiv.org/abs/2004.02958v1
• [cs.LG]Teacher-Class Network: A Neural Network Compression Mechanism
Shaiq Munir Malik, Mohbat Tharani, Murtaza Taj
http://arxiv.org/abs/2004.03281v1
• [cs.LG]Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning
Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
http://arxiv.org/abs/2004.03168v1
• [cs.LG]Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification
Michał Koziarski
http://arxiv.org/abs/2004.03332v1
• [cs.LG]Uniform State Abstraction For Reinforcement Learning
John Burden, Daniel Kudenko
http://arxiv.org/abs/2004.02919v1
• [cs.NE]Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation Methods
Mohammad Majid al-Rifaie, Marc Cavazza
http://arxiv.org/abs/2004.03438v1
• [cs.NE]Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Amirhossein Rajabi, Carsten Witt
http://arxiv.org/abs/2004.03266v1
• [cs.NE]Specific Single- and Multi-Objective Evolutionary Algorithmsfor the Chance-Constrained Knapsack Problem
Yue Xie, Aneta Neumann, Frank Neumann
http://arxiv.org/abs/2004.03205v1
• [cs.NE]The multi-objective optimisation of breakwaters using evolutionary approach
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
http://arxiv.org/abs/2004.03010v1
• [cs.PF]The State of Research on Function-as-a-Service Performance Evaluation: A Multivocal Literature Review
Joel Scheuner, Philipp Leitner
http://arxiv.org/abs/2004.03276v1
• [cs.RO]CrowdSteer: Realtime Smooth and Collision-Free Robot Navigation in Dense Crowd Scenarios Trained using High-Fidelity Simulation
Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha
http://arxiv.org/abs/2004.03089v1
• [cs.RO]Curved patch mapping and tracking for irregular terrain modeling: Application to bipedal robot foot placement
Dimitrios Kanoulas, Nikos G. Tsagarakis, Marsette Vona
http://arxiv.org/abs/2004.03405v1
• [cs.RO]Human-Guided Planner for Non-Prehensile Manipulation
Rafael Papallas, Mehmet R. Dogar
http://arxiv.org/abs/2004.00946v2
• [cs.RO]Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Yeping Hu, Wei Zhan, Masayoshi Tomizuka
http://arxiv.org/abs/2004.03053v1
• [cs.RO]Self-propulsion on spandex: toward a robotic analog gravity system
Shengkai Li, Yasemin Ozkan Aydin, Gabriella Small, Charles Xiao, Jennifer M. Rieser, Hussain N. Gynai, Pablo Laguna, Daniel I. Goldman
http://arxiv.org/abs/2004.03549v1
• [cs.RO]Series Elastic Force Control for Soft Robotic Fluid Actuators
Chunpeng Wang, John P. Whitney
http://arxiv.org/abs/2004.01269v2
• [cs.RO]Variable Autonomy of Whole-body Control for Inspection and Intervention in Industrial Environments using Legged Robots
Guiyang Xin, Carlo Tiseo, Wouter Wolfslag, Joshua Smith, Oguzhan Cebe, Zhibin Li, Sethu Vijayakumar, Michael Mistry
http://arxiv.org/abs/2004.02996v1
• [cs.SE]Improved Code Summarization via a Graph Neural Network
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan
http://arxiv.org/abs/2004.02843v2
• [cs.SI]A Few Topical Tweets are Enough for Effective User-Level Stance Detection
Younes Samih, Kareem Darwish
http://arxiv.org/abs/2004.03485v1
• [cs.SI]Gender-specific behavior change following terror attacks
Jonas S. Juul, Laura Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann, Joachim Mathiesen
http://arxiv.org/abs/2004.02957v1
• [cs.SI]General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya, Shirshendu Chatterjee
http://arxiv.org/abs/2004.03480v1
• [cs.SI]Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis — A Computational Content Analysis
Svenja Boberg, Thorsten Quandt, Tim Schatto-Eckrodt, Lena Frischlich
http://arxiv.org/abs/2004.02566v2
• [cs.SI]Routine pattern discovery and anomaly detection in individual travel behavior
Lijun Sun, Xinyu Chen, Zhaocheng He, Luis F. Miranda-Moreno
http://arxiv.org/abs/2004.03481v1
• [econ.EM]Robust Empirical Bayes Confidence Intervals
Timothy B. Armstrong, Michal Kolesár, Mikkel Plagborg-Møller
http://arxiv.org/abs/2004.03448v1
• [eess.AS]Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition
Yi Zheng, Xianjie Yang, Xuyong Dang
http://arxiv.org/abs/2004.03437v1
• [eess.AS]Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification
Youngmoon Jung, Seongmin Kye, Yeunju Choi, Myunghun Jung, Hoirin Kim
http://arxiv.org/abs/2004.03194v1
• [eess.AS]SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement
Robert Rehr, Timo Gerkmann
http://arxiv.org/abs/2004.03512v1
• [eess.IV]Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
http://arxiv.org/abs/2004.03271v1
• [eess.IV]Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
Misgina Tsighe Hagos, Shri Kant, Surayya Ado Bala
http://arxiv.org/abs/2004.03408v1
• [eess.IV]COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images
Xin Li, Dongxiao Zhu
http://arxiv.org/abs/2004.03042v1
• [eess.IV]Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
Yang Zhang, Changhui Hu, Xiaobo Lu
http://arxiv.org/abs/2004.03150v1
• [eess.IV]Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel
http://arxiv.org/abs/2004.03399v1
• [eess.IV]Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Simon Graham, David Epstein, Nasir Rajpoot
http://arxiv.org/abs/2004.03037v1
• [eess.IV]Exploiting context dependence for image compression with upsampling
Jarek Duda
http://arxiv.org/abs/2004.03391v1
• [eess.IV]Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj, Aboul Ella Hassanien, K. C. Santosh, N. Sri Madhava Raja
http://arxiv.org/abs/2004.03431v1
• [eess.IV]Plug-and-play ISTA converges with kernel denoisers
Ruturaj G. Gavaskar, Kunal N. Chaudhury
http://arxiv.org/abs/2004.03145v1
• [eess.IV]Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
http://arxiv.org/abs/2004.02731v2
• [eess.IV]U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Connie Lehman, Viksit Kumar, Anthony Samir
http://arxiv.org/abs/2004.03466v1
• [eess.SP]A Comprehensive Study of Reconfigurable Intelligent Surfaces in Generalized Fading
Imène Trigui, Wessam Ajib, Wei-Ping Zhu
http://arxiv.org/abs/2004.02922v1
• [eess.SP]Efficient Task Mapping for Manycore Systems
Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian
http://arxiv.org/abs/2004.03462v1
• [eess.SP]LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
http://arxiv.org/abs/2004.03021v1
• [eess.SP]Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN
Bin Lyu, Parisa Ramezani, Dinh Thai Hoang, Shimin Gong, Zhen Yang, Abbas Jamalipour
http://arxiv.org/abs/2004.03108v1
• [eess.SP]Performance of Wireless Powered Cognitive Radio Sensor Networks With Nonlinear Energy Harvester
Devendra Singh Gurjar, Ha H. Nguyen, Prabina Pattanayak
http://arxiv.org/abs/2004.02642v1
• [eess.SP]Pooling in Graph Convolutional Neural Networks
Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura
http://arxiv.org/abs/2004.03519v1
• [eess.SP]Reconfigurable Intelligent Surface-Empowered MIMO Systems
Aymen Khaleel, Ertugrul Basar
http://arxiv.org/abs/2004.02238v1
• [eess.SP]Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission with Statistical CSIT
Li You, Jiayuan Xiong, Alessio Zappone, Wenjin Wang, Xiqi Gao
http://arxiv.org/abs/2004.03092v1
• [eess.SP]Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning
Yizhuo Song, Muhammad R. A. Khandaker, Faisal Tariq, Kai-Kit Wong
http://arxiv.org/abs/2004.03056v1
• [eess.SY]Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli
http://arxiv.org/abs/2004.03041v1
• [eess.SY]Learning Control Barrier Functions from Expert Demonstrations
Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
http://arxiv.org/abs/2004.03315v1
• [math-ph]A System of Billiard and Its Application to Information-Theoretic Entropy
Supriyo Dutta, Partha Guha
http://arxiv.org/abs/2004.03444v1
• [math.CO]Strengthening of the Assmus—Mattson theorem for some dual codes
Tsuyoshi Miezaki, Hiroyuki Nakasora
http://arxiv.org/abs/2004.03396v1
• [math.DS]Circuminvariants of 3-Periodics in the Elliptic Billiard
Dan Reznik, Ronaldo Garcia
http://arxiv.org/abs/2004.02680v2
• [math.HO]Arithmetic, Geometry, and Coding Theory: Homage to Gilles Lachaud
Sudhir R. Ghorpade, Christophe Ritzenthaler, François Rodier, Michael A. Tsfasman
http://arxiv.org/abs/2004.03263v1
• [math.OC]Directional approach to gradual cover: the continuous case
Tammy Drezner, Zvi Drezner, Pawel Kalczynski
http://arxiv.org/abs/2004.03035v1
• [math.OC]Nonparametric Estimation of Uncertainty Sets for Robust Optimization
Polina Alexeenko, Eilyan Bitar
http://arxiv.org/abs/2004.03069v1
• [math.ST]Model selection in the space of Gaussian models invariant by symmetry
Piotr Graczyk, Hideyuki Ishi, Kołodziejek Bartosz, Hélène Massam
http://arxiv.org/abs/2004.03503v1
• [math.ST]Nonparametric Estimation for I.I.D. Paths of Fractional SDE
Fabienne COMTE, Nicolas MARIE
http://arxiv.org/abs/2004.03417v1
• [math.ST]On the Theory of Covariate-Adaptive Designs
Feifang Hu, Li-Xin Zhang
http://arxiv.org/abs/2004.02994v1
• [math.ST]Testing Equality of Spectral Density Operators for Functional Processes
Anne Leucht, Efstathios Paparoditis, Daniel Rademacher, Theofanis Sapatinas
http://arxiv.org/abs/2004.03412v1
• [math.ST]The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions
Yanjun Han, Kirankumar Shiragur
http://arxiv.org/abs/2004.03166v1
• [physics.soc-ph]A Network Percolation-based Contagion Model of Flood Propagation and Recession in Urban Road Networks
Chao Fan, Xiangqi Jiang, Ali Mostafavi
http://arxiv.org/abs/2004.03552v1
• [physics.soc-ph]Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
David Rushing Dewhurst, Thayer Alshaabi, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2004.03516v1
• [physics.soc-ph]Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks
Vander L. S. Freitas, Jeferson Feitosa, Catia S. N. Sepetauskas, Leonardo B. L. Santos
http://arxiv.org/abs/2004.02648v2
• [physics.soc-ph]Statistical properties of telephone communication network
V. M. Danilevskiy, V. V. Yanovsky
http://arxiv.org/abs/2004.03172v1
• [physics.soc-ph]The geographic spread of COVID-19 correlates with structure of social networks as measured by Facebook
Theresa Kuchler, Dominic Russel, Johannes Stroebel
http://arxiv.org/abs/2004.03055v1
• [q-bio.PE]Covid-19 — A simple statistical model for predicting ICU load in exponential phases of the disease
Matthias Ritter, John-Dylan Haynes, Kerstin Ritter
http://arxiv.org/abs/2004.03384v1
• [q-bio.PE]Prediction of COVID-19 Disease Progression in India : Under the Effect of National Lockdown
Sourish Das
http://arxiv.org/abs/2004.03147v1
• [q-bio.QM]Multilingual enrichment of disease biomedical ontologies
Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch
http://arxiv.org/abs/2004.03181v1
• [stat.AP]A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy
Ruochen Sun, Felipe Hernández, Xu Liang, Huiling Yuan
http://arxiv.org/abs/2004.02390v2
• [stat.AP]Modeling and presentation of vaccination coverage estimates using data from household surveys
Tracy Qi Dong, Jon Wakefield
http://arxiv.org/abs/2004.03127v1
• [stat.AP]Modelling death rates due to COVID-19: A Bayesian approach
Cristian Bayes, Victor Sal y Rosas, Luis Valdivieso
http://arxiv.org/abs/2004.02386v2
• [stat.AP]Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
Paolo Girardi, Luca Greco, Valentina Mameli, Monica Musio, Walter Racugno, Erlis Ruli, Laura Ventura
http://arxiv.org/abs/2004.03187v1
• [stat.AP]Variable pool testing for infection spread estimation
Itsik Bergel
http://arxiv.org/abs/2004.03322v1
• [stat.CO]Bootstraps Regularize Singular Correlation Matrices
Christian Bongiorno
http://arxiv.org/abs/2004.03165v1
• [stat.ME]Forecasting count data using time series model with exponentially decaying covariance structure
Soudeep Deb
http://arxiv.org/abs/2004.03130v1
• [stat.ME]Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Biao Cai, Jingfei Zhang, Yongtao Guan
http://arxiv.org/abs/2004.03569v1
• [stat.ME]Optimal Projections for Gaussian Discriminants
David P. Hofmeyr, Francois Kamper, Michail C. Melonas
http://arxiv.org/abs/2004.03294v1
• [stat.ML]Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation
Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang
http://arxiv.org/abs/2004.03260v1
• [stat.ML]Disentangled sticky hierarchical Dirichlet process hidden Markov model
Ding Zhou, Yuanjun Gao, Liam Paninski
http://arxiv.org/abs/2004.03019v1
• [stat.ML]From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture
Laurent Vanni, Marco Corneli, Damon Mayaffre, Frédéric Precioso
http://arxiv.org/abs/2004.03254v1
• [stat.ML]Parametrization of Neural Networks with Connected Abelian Lie Groups as Data Manifold
Luciano Melodia, Richard Lenz
http://arxiv.org/abs/2004.02881v1
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