astro-ph.SR - 太阳和天体物理学恒星
cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 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.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.app-ph - 应用物理 physics.ed-ph - 物理教育 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.CP -计算金融学 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.SR]A Framework for Designing and Evaluating Solar Flare Forecasting Systems
• [cond-mat.dis-nn]Renormalization group theory of percolation on pseudo-fractal simplicial and cell complexes
• [cs.AI]A Ladder of Causal Distances
• [cs.AI]A Non-equilibrium Thermodynamic Framework of Consciousness
• [cs.AI]Hierarchical Bayesian Approach for Improving Weights for Solving Multi-Objective Route Optimization Problem
• [cs.AI]Online Parameter Estimation for Human Driver Behavior Prediction
• [cs.AI]Optimal Covid-19 Pool Testing with a priori Information
• [cs.AI]Probing the Natural Language Inference Task with Automated Reasoning Tools
• [cs.AI]The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
• [cs.AI]The computerization of archaeology: survey on AI techniques
• [cs.AI]Towards Building Knowledge by Merging Multiple Ontologies with CoMerger: A Partitioning-based Approach
• [cs.AI]Towards the Role of Theory of Mind in Explanation
• [cs.CG]Geoopt: Riemannian Optimization in PyTorch
• [cs.CL]A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
• [cs.CL]An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
• [cs.CL]Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
• [cs.CL]Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System
• [cs.CL]Building A User-Centric and Content-Driven Socialbot
• [cs.CL]CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd
• [cs.CL]Contextualizing Hate Speech Classifiers with Post-hoc Explanation
• [cs.CL]Crossing Variational Autoencoders for Answer Retrieval
• [cs.CL]Digraphie des langues ouest africaines : Latin2Ajami : un algorithme de translitteration automatique
• [cs.CL]Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks
• [cs.CL]Fine-grained Financial Opinion Mining: A Survey and Research Agenda
• [cs.CL]Harvesting and Refining Question-Answer Pairs for Unsupervised QA
• [cs.CL]It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
• [cs.CL]Learning to Understand Child-directed and Adult-directed Speech
• [cs.CL]Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders
• [cs.CL]MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
• [cs.CL]Multitask Models for Supervised Protests Detection in Texts
• [cs.CL]PeTra: A Sparsely Supervised Memory Model for People Tracking
• [cs.CL]Phonetic and Visual Priors for Decipherment of Informal Romanization
• [cs.CL]Review of text style transfer based on deep learning
• [cs.CL]Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures
• [cs.CL]Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes
• [cs.CL]Shape of synth to come: Why we should use synthetic data for English surface realization
• [cs.CL]Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
• [cs.CL]TAG : Type Auxiliary Guiding for Code Comment Generation
• [cs.CL]The Cascade Transformer: an Application for Efficient Answer Sentence Selection
• [cs.CL]TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking
• [cs.CL]Unsupervised Neural Aspect Search with Related Terms Extraction
• [cs.CL]What are the Goals of Distributional Semantics?
• [cs.CR]Insider Threat Detection Based on Stress Recognition Using Keystroke Dynamics
• [cs.CV]Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning
• [cs.CV]Automatic Detection and Recognition of Individuals in Patterned Species
• [cs.CV]Automatic Plant Image Identification of Vietnamese species using Deep Learning Models
• [cs.CV]CONFIG: Controllable Neural Face Image Generation
• [cs.CV]CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
• [cs.CV]Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
• [cs.CV]Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer’s Disease
• [cs.CV]DenoiSeg: Joint Denoising and Segmentation
• [cs.CV]Dependency Aware Filter Pruning
• [cs.CV]Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images
• [cs.CV]Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
• [cs.CV]Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
• [cs.CV]Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
• [cs.CV]Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
• [cs.CV]Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data
• [cs.CV]Generating Memorable Images Based on Human Visual Memory Schemas
• [cs.CV]GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
• [cs.CV]Iris segmentation techniques to recognize the behavior of a vigilant driver
• [cs.CV]Low-shot Object Detection via Classification Refinement
• [cs.CV]Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network
• [cs.CV]Mimicry: Towards the Reproducibility of GAN Research
• [cs.CV]Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
• [cs.CV]Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving
• [cs.CV]Partly Supervised Multitask Learning
• [cs.CV]ProbaNet: Proposal-balanced Network for Object Detection
• [cs.CV]Probabilistic Color Constancy
• [cs.CV]Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning
• [cs.CV]UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving
• [cs.CY]A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections
• [cs.CY]A Survey Study to Understand Industry Vision for Virtual and Augmented Reality Applications in Design and Construction
• [cs.CY]BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
• [cs.CY]Community-Based Service Ecosystem Evolution Analysis
• [cs.CY]Mood of India During Covid-19 — An Interactive Web Portal Based on Emotion Analysis of Twitter Data
• [cs.CY]Nanotechnology-inspired Information Processing Systems of the Future
• [cs.CY]Reliable and Efficient Long-Term Twitter Monitoring
• [cs.CY]The Pace and Pulse of the Fight against Coronavirus across the US, A Google Trends Approach
• [cs.DB]Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets
• [cs.DC]Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
• [cs.DC]Performance of Generalized Hypercubes in Dynamic Peer-to-Peer Networks
• [cs.DM]Search for developments of a box having multiple ways of folding by SAT solver
• [cs.DS]Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
• [cs.DS]Differentiable Greedy Submodular Maximization with Guarantees and Gradient Estimators
• [cs.DS]Outlier-Robust Clustering of Non-Spherical Mixtures
• [cs.HC]Integrating Prior Knowledge in Mixed Initiative Social Network Clustering
• [cs.HC]Prediction of Human Empathy based on EEG Cortical Asymmetry
• [cs.IR]Graph-Embedding Empowered Entity Retrieval
• [cs.IR]Interpretable Learning-to-Rank with Generalized Additive Models
• [cs.IR]Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies
• [cs.IR]SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
• [cs.IR]TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
• [cs.IT]Bit-Interleaved Coded Multiple Beamforming with Perfect Coding in Massive MIMO Systems
• [cs.IT]Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing
• [cs.IT]Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC
• [cs.IT]Performance Limit and Code Design for Resistive Random-Access Memory Channels
• [cs.IT]Physical Layer Security of TAS/MRC Over $κ$-$μ$ Shadowed Fading Channel
• [cs.IT]Regularized Estimation of Information via High Dimensional Canonical Correlation Analysis
• [cs.LG]A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
• [cs.LG]A Comprehensive Survey on Outlying Aspect Mining Methods
• [cs.LG]A Survey of Algorithms for Black-Box Safety Validation
• [cs.LG]Approaches and Applications of Early Classification of Time Series: A Review
• [cs.LG]AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance
• [cs.LG]Deep Divergence Learning
• [cs.LG]Deep Lagrangian Constraint-based Propagation in Graph Neural Networks
• [cs.LG]EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
• [cs.LG]Effect of The Latent Structure on Clustering with GANs
• [cs.LG]Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
• [cs.LG]Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning
• [cs.LG]LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees
• [cs.LG]Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
• [cs.LG]Learning Architectures from an Extended Search Space for Language Modeling
• [cs.LG]Local Search is State of the Art for NAS Benchmarks
• [cs.LG]Mathematical foundations of stable RKHSs
• [cs.LG]Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
• [cs.LG]Proper measure for adversarial robustness
• [cs.LG]Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
• [cs.LG]Stolen Probability: A Structural Weakness of Neural Language Models
• [cs.LG]SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
• [cs.LG]Testing the Robustness of AutoML Systems
• [cs.LG]Time Dependence in Non-Autonomous Neural ODEs
• [cs.LG]Training robust neural networks using Lipschitz bounds
• [cs.LG]Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait Patterns
• [cs.LO]Towards Concise, Machine-discovered Proofs of Gödel’s Two Incompleteness Theorems
• [cs.MM]Cross-media Structured Common Space for Multimedia Event Extraction
• [cs.NE]Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
• [cs.NE]Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning
• [cs.NE]Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
• [cs.NE]Vehicle Routing and Scheduling for Regular Mobile Healthcare Services
• [cs.NI]Scheduling and Dynamic Pilot Allocation For Massive MIMO with Varying Traffic
• [cs.RO]A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids
• [cs.RO]Active Preference-Based Gaussian Process Regression for Reward Learning
• [cs.RO]DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation
• [cs.RO]Multi-Resolution POMDP Planning for Multi-Object Search in 3D
• [cs.RO]Robotic Arm Control and Task Training through Deep Reinforcement Learning
• [cs.RO]SwarmLab: a Matlab Drone Swarm Simulator
• [cs.SI]Birth-Burst in Evolving Networks
• [cs.SI]Information Propagation in Stochastic Networks
• [eess.IV]Groupwise Multimodal Image Registration using Joint Total Variation
• [eess.IV]Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
• [eess.IV]Multi-task pre-training of deep neural networks
• [eess.IV]NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
• [eess.IV]Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
• [eess.SP]Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis
• [eess.SP]Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array
• [eess.SP]High-Contrast Limited-Angle Reflection Tomography
• [eess.SP]Identifying Unused RF Channels Using Least Matching Pursuit
• [eess.SP]Network Massive MIMO Transmission Over Millimeter-Wave and Terahertz Bands: Mobility Enhancement and Blockage Mitigation
• [eess.SP]Similarity and delay between two non-narrow-band time signals
• [eess.SY]Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
• [math.CO]On the list recoverability of randomly punctured codes
• [math.OC]Variance Reduction for Sequential Sampling in Stochastic Programming
• [math.ST]Bayesian estimation and prediction for mixtures
• [math.ST]Bias-Variance Tradeoffs in Joint Spectral Embeddings
• [math.ST]Dependence structure estimation using Copula Recursive Trees
• [math.ST]Exponential increase of the power of the independence and homogeneity chi-square tests with auxiliary information
• [math.ST]Multiscale Bayesian Survival Analysis
• [math.ST]Statistical errors in Monte Carlo-based inference for random elements
• [physics.ao-ph]Predicting atmospheric optical properties for radiative transfer computations using neural networks
• [physics.app-ph]Modeling nanoconfinement effects using active learning
• [physics.ed-ph]A Network Science Summer Cour
1000
se for High School Students
• [physics.soc-ph]City limits in the age of smartphones and urban scaling
• [physics.soc-ph]Interplay between $k$-core and community structure in complex networks
• [physics.soc-ph]Network extraction by routing optimization
• [physics.soc-ph]The Fractional Preferential Attachment Scale-Free Network Model
• [q-bio.GN]A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
• [q-bio.NC]A Model for Image Segmentation in Retina
• [q-bio.QM]Application-oriented mathematical algorithms for group testing
• [q-bio.QM]Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing
• [q-fin.CP]A generative adversarial network approach to calibration of local stochastic volatility models
• [q-fin.CP]ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
• [quant-ph]Towards quantum advantage for topological data analysis
• [stat.AP]A Bernoulli Mixture Model to Understand and Predict Children Longitudinal Wheezing Patterns
• [stat.AP]Coronavirus and sports leagues: how to obtain a fair ranking if the season cannot resume?
• [stat.AP]Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud
• [stat.AP]Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART)
• [stat.AP]The Information Content of Taster’s Valuation in Tea Auctions of India
• [stat.ME]A Chi-square Goodness-of-Fit Test for Continuous Distributions against a known Alternative
• [stat.ME]A Lasso-OLS Hybrid Approach to Covariate Selection and Average Treatment Effect Estimation for Clustered RCTs Using Design-Based Methods
• [stat.ME]A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
• [stat.ME]Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles
• [stat.ME]Group Heterogeneity Assessment for Multilevel Models
• [stat.ME]Log-Regularly Varying Scale Mixture of Normals for Robust Regression
• [stat.ME]Multiple-bias sensitivity analysis using bounds
• [stat.ME]Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
• [stat.ML]DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
• [stat.ML]Designing Data Augmentation for Simulating Interventions
• [stat.ML]Event Cartography: Latent Point Process Embeddings
• [stat.ML]Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
• [stat.ML]Token Manipulation Generative Adversarial Network for Text Generation
·····································
• [astro-ph.SR]A Framework for Designing and Evaluating Solar Flare Forecasting Systems
T. Cinto, A. L. S. Gradvohl, G. P. Coelho, A. E. A. da Silva
http://arxiv.org/abs/2005.02493v1
• [cond-mat.dis-nn]Renormalization group theory of percolation on pseudo-fractal simplicial and cell complexes
Hanlin Sun, Robert M. Ziff, Ginestra Bianconi
http://arxiv.org/abs/2005.02984v1
• [cs.AI]A Ladder of Causal Distances
Maxime Peyrard, Robert West
http://arxiv.org/abs/2005.02480v1
• [cs.AI]A Non-equilibrium Thermodynamic Framework of Consciousness
Natesh Ganesh
http://arxiv.org/abs/2005.02801v1
• [cs.AI]Hierarchical Bayesian Approach for Improving Weights for Solving Multi-Objective Route Optimization Problem
Romit S Beed, Sunita Sarkar, Arindam Roy, Durba Bhattacharya
http://arxiv.org/abs/2005.02811v1
• [cs.AI]Online Parameter Estimation for Human Driver Behavior Prediction
Raunak Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel Kochenderfer
http://arxiv.org/abs/2005.02597v1
• [cs.AI]Optimal Covid-19 Pool Testing with a priori Information
Marc Beunardeau, Éric Brier, Noémie Cartier, Aisling Connolly, Nathanaël Courant, Rémi Géraud-Stewart, David Naccache, Ofer Yifrach-Stav
http://arxiv.org/abs/2005.02940v1
• [cs.AI]Probing the Natural Language Inference Task with Automated Reasoning Tools
Zaid Marji, Animesh Nighojkar, John Licato
http://arxiv.org/abs/2005.02573v1
• [cs.AI]The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
http://arxiv.org/abs/2005.02986v1
• [cs.AI]The computerization of archaeology: survey on AI techniques
Lorenzo Mantovan, Loris Nanni
http://arxiv.org/abs/2005.02863v1
• [cs.AI]Towards Building Knowledge by Merging Multiple Ontologies with CoMerger: A Partitioning-based Approach
Samira Babalou, Birgitta König-Ries
http://arxiv.org/abs/2005.02659v1
• [cs.AI]Towards the Role of Theory of Mind in Explanation
Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith
http://arxiv.org/abs/2005.02963v1
• [cs.CG]Geoopt: Riemannian Optimization in PyTorch
Max Kochurov, Rasul Karimov, Sergei Kozlukov
http://arxiv.org/abs/2005.02819v1
• [cs.CL]A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li, Guodong Zhou
http://arxiv.org/abs/2005.02680v1
• [cs.CL]An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng, Qingyu Chen, Zhiyong Lu
http://arxiv.org/abs/2005.02799v1
• [cs.CL]Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
Guy Emerson
http://arxiv.org/abs/2005.02991v1
• [cs.CL]Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
http://arxiv.org/abs/2005.02431v1
• [cs.CL]Building A User-Centric and Content-Driven Socialbot
Hao Fang
http://arxiv.org/abs/2005.02623v1
• [cs.CL]CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd
Ting-Hao ‘Kenneth’ Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
http://arxiv.org/abs/2005.02367v2
• [cs.CL]Contextualizing Hate Speech Classifiers with Post-hoc Explanation
Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren
http://arxiv.org/abs/2005.02439v1
• [cs.CL]Crossing Variational Autoencoders for Answer Retrieval
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang
http://arxiv.org/abs/2005.02557v1
• [cs.CL]Digraphie des langues ouest africaines : Latin2Ajami : un algorithme de translitteration automatique
El hadji M. Fall, El hadji M. Nguer, Bao Diop Sokhna, Mouhamadou Khoule, Mathieu Mangeot, Mame T. Cisse
http://arxiv.org/abs/2005.02827v1
• [cs.CL]Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks
Kervy Rivas Rojas, Gina Bustamante, Marco A. Sobrevilla Cabezudo, Arturo Oncevay
http://arxiv.org/abs/2005.02473v1
• [cs.CL]Fine-grained Financial Opinion Mining: A Survey and Research Agenda
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
http://arxiv.org/abs/2005.01897v2
• [cs.CL]Harvesting and Refining Question-Answer Pairs for Unsupervised QA
Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu
http://arxiv.org/abs/2005.02925v1
• [cs.CL]It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki
http://arxiv.org/abs/2005.02354v1
• [cs.CL]Learning to Understand Child-directed and Adult-directed Speech
Lieke Gelderloos, Grzegorz Chrupała, Afra Alishahi
http://arxiv.org/abs/2005.02721v1
• [cs.CL]Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders
Terra Blevins, Luke Zettlemoyer
http://arxiv.org/abs/2005.02590v1
• [cs.CL]MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, Noah Constant
http://arxiv.org/abs/2005.02507v1
• [cs.CL]Multitask Models for Supervised Protests Detection in Texts
Benjamin J. Radford
http://arxiv.org/abs/2005.02954v1
• [cs.CL]PeTra: A Sparsely Supervised Memory Model for People Tracking
Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu
http://arxiv.org/abs/2005.02990v1
• [cs.CL]Phonetic and Visual Priors for Decipherment of Informal Romanization
Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2005.02517v1
• [cs.CL]Review of text style transfer based on deep learning
Xiangyang Li, Guo Pu, Keyu Ming, Pu Li, Jie Wang, Yuxuan Wang, Sujian Li
http://arxiv.org/abs/2005.02914v1
• [cs.CL]Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures
Zein Shaheen, Gerhard Wohlgenannt, Bassel Zaity, Dmitry Mouromtsev, Vadim Pak
http://arxiv.org/abs/2005.02470v1
• [cs.CL]Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes
Benjamin J. Radford
http://arxiv.org/abs/2005.02966v1
• [cs.CL]Shape of synth to come: Why we should use synthetic data for English surface realization
Henry Elder, Robert Burke, Alexander O’Connor, Jennifer Foster
http://arxiv.org/abs/2005.02693v1
• [cs.CL]Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback
Ahmed Elgohary, Saghar Hosseini, Ahmed Hassan Awadallah
http://arxiv.org/abs/2005.02539v1
• [cs.CL]TAG : Type Auxiliary Guiding for Code Comment Generation
Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
http://arxiv.org/abs/2005.02835v1
• [cs.CL]The Cascade Transformer: an Application for Efficient Answer Sentence Selection
Luca Soldaini, Alessandro Moschitti
http://arxiv.org/abs/2005.02534v1
• [cs.CL]TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gašić
http://arxiv.org/abs/2005.02877v1
• [cs.CL]Unsupervised Neural Aspect Search with Related Terms Extraction
Timur Sokhin, Maria Khodorchenko, Nikolay Butakov
http://arxiv.org/abs/2005.02771v1
• [cs.CL]What are the Goals of Distributional Semantics?
Guy Emerson
http://arxiv.org/abs/2005.02982v1
• [cs.CR]Insider Threat Detection Based on Stress Recognition Using Keystroke Dynamics
Azamat Sultanov, Konstantin Kogos
http://arxiv.org/abs/2005.02862v1
• [cs.CV]Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning
Anh Duc Le
http://arxiv.org/abs/2005.02669v1
• [cs.CV]Automatic Detection and Recognition of Individuals in Patterned Species
Gullal Singh Cheema, Saket Anand
http://arxiv.org/abs/2005.02905v1
• [cs.CV]Automatic Plant Image Identification of Vietnamese species using Deep Learning Models
Nguyen Van Hieu, Ngo Le Huy Hien
http://arxiv.org/abs/2005.02832v1
• [cs.CV]CONFIG: Controllable Neural Face Image Generation
Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton
http://arxiv.org/abs/2005.02671v1
• [cs.CV]CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2005.02551v1
• [cs.CV]Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
http://arxiv.org/abs/2005.02436v1
• [cs.CV]Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer’s Disease
Wonsik Jung, Eunji Jun, Heung-Il Suk
http://arxiv.org/abs/2005.02643v1
• [cs.CV]DenoiSeg: Joint Denoising and Segmentation
Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug
http://arxiv.org/abs/2005.02987v1
• [cs.CV]Dependency Aware Filter Pruning
Kai Zhao, Xin-Yu Zhang, Qi Han, Ming-Ming Cheng
http://arxiv.org/abs/2005.02634v1
• [cs.CV]Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images
Alexander Prutsch, Antonio Pepe, Jan Egger
http://arxiv.org/abs/2005.02760v1
• [cs.CV]Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai
http://arxiv.org/abs/2005.02696v1
• [cs.CV]Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
http://arxiv.org/abs/2005.02690v1
• [cs.CV]Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
Jun Hayakawa, Behzad Dariush
http://arxiv.org/abs/2005.01632v3
• [cs.CV]Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
http://arxiv.org/abs/2005.02591v1
• [cs.CV]Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data
Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh, Ananda S. Chowdhury, Sanjoy Kumar Saha
http://arxiv.org/abs/2005.02704v1
• [cs.CV]Generating Memorable Images Based on Human Visual Memory Schemas
Cameron Kyle-Davidson, Adrian G. Bors, Karla K. Evans
http://arxiv.org/abs/2005.02969v1
• [cs.CV]GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
Ankita Shukla, Pavan Turaga, Saket Anand
http://arxiv.org/abs/2005.02936v1
• [cs.CV]Iris segmentation techniques to recognize the behavior of a vigilant driver
Abdullatif Baba
http://arxiv.org/abs/2005.02450v1
• [cs.CV]Low-shot Object Detection via Classification Refinement
Yiting Li, Yu Cheng, Lu Liu, Sichao Tian, Haiyue Zhu, Cheng Xiang, Prahlad Vadakkepat, Cheksing Teo, Tongheng Lee
http://arxiv.org/abs/2005.02641v1
• [cs.CV]Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network
Zehao Chen, Hua Yang
http://arxiv.org/abs/2005.02958v1
• [cs.CV]Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee, Christopher Town
http://arxiv.org/abs/2005.02494v1
• [cs.CV]Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
http://arxiv.org/abs/2005.01385v2
• [cs.CV]Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving
Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi
http://arxiv.org/abs/2005.02545v1
• [cs.CV]Partly Supervised Multitask Learning
Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos
http://arxiv.org/abs/2005.02523v1
• [cs.CV]ProbaNet: Proposal-balanced Network for Object Detection
Xiang Zhang, Jing Wu, Mingyi Zhou
http://arxiv.org/abs/2005.02699v1
• [cs.CV]Probabilistic Color Constancy
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj
http://arxiv.org/abs/2005.02730v1
• [cs.CV]Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning
Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar
http://arxiv.org/abs/2005.02463v1
• [cs.CV]UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving
Hao He, Hengchen Dai, Naiyan Wang
http://arxiv.org/abs/2005.02790v1
• [cs.CY]A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections
Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, Jussara M. Almeida, Dean Eckles, Fabrício Benevenuto
http://arxiv.org/abs/2005.02443v1
• [cs.CY]A Survey Study to Understand Industry Vision for Virtual and Augmented Reality Applications in Design and Construction
Mojtaba Noghabaei, Arsalan Heydarian, Vahid Balali, Kevin Han
http://arxiv.org/abs/2005.02795v1
• [cs.CY]BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nikos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, Tahar Kechadi, Shane O’ Donnell, Gerardine Doyle, Sarah Browne, Grace O’ Malley, Rachel Heimeier, Katerina Riviou, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos
http://arxiv.org/abs/2005.02928v1
• [cs.CY]Community-Based Service Ecosystem Evolution Analysis
Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang
http://arxiv.org/abs/2005.02729v1
• [cs.CY]Mood of India During Covid-19 — An Interactive Web Portal Based on Emotion Analysis of Twitter Data
Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, Sridhar Chimalakonda
http://arxiv.org/abs/2005.02955v1
• [cs.CY]Nanotechnology-inspired Information Processing Systems of the Future
Randy Bryant, Mark Hill, Tom Kazior, Daniel Lee, Jie Liu, Klara Nahrstedt, Vijay Narayanan, Jan Rabaey, Hava Siegelmann, Naresh Shanbhag, Naveen Verma, H. -S. Philip Wong
http://arxiv.org/abs/2005.02434v1
• [cs.CY]Reliable and Efficient Long-Term Twitter Monitoring
Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez
http://arxiv.org/abs/2005.02442v1
• [cs.CY]The Pace and Pulse of the Fight against Coronavirus across the US, A Google Trends Approach
Tichakunda Mangono, Peter Smittenaar, Yael Caplan, Vincent S. Huang, Staci Sutermaster, Hannah Kemp, Sema K. Sgaier
http://arxiv.org/abs/2005.02489v1
• [cs.DB]Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets
Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang
http://arxiv.org/abs/2005.02510v1
• [cs.DC]Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
http://arxiv.org/abs/2005.02426v1
• [cs.DC]Performance of Generalized Hypercubes in Dynamic Peer-to-Peer Networks
Reem Abdel-Rahman Osman, Omar H. Karam
http://arxiv.org/abs/2005.00338v2
• [cs.DM]Search for developments of a box having multiple ways of folding by SAT solver
Riona Tadaki, Kazuyuki Amano
http://arxiv.org/abs/2005.02645v1
• [cs.DS]Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
Peyman Afshani, Mark De Berg, Kevin Buchin, Jie Gao, Maarten Loffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
http://arxiv.org/abs/2005.02530v1
• [cs.DS]Differentiable Greedy Submodular Maximization with Guarantees and Gradient Estimators
Shinsaku Sakaue
http://arxiv.org/abs/2005.02578v1
• [cs.DS]Outlier-Robust Clustering of Non-Spherical Mixtures
Ainesh Bakshi, Pravesh Kothari
http://arxiv.org/abs/2005.02970v1
• [cs.HC]Integrating Prior Knowledge in Mixed Initiative Social Network Clustering
Alexis Pister, Paolo Buono, Jean-Daniel Fekete, Catherine Plaisant, Paola Valdivia
http://arxiv.org/abs/2005.02972v1
• [cs.HC]Prediction of Human Empathy based on EEG Cortical Asymmetry
Andrea Kuijt, Maryam Alimardani
http://arxiv.org/abs/2005.02824v1
• [cs.IR]Graph-Embedding Empowered Entity Retrieval
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries
http://arxiv.org/abs/2005.02843v1
• [cs.IR]Interpretable Learning-to-Rank with Generalized Additive Models
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
http://arxiv.org/abs/2005.02553v1
• [cs.IR]Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies
Fabian Kirstein, Kyriakos Stefanidis, Benjamin Dittwald, Simon Dutkowski, Sebastian Urbanek, Manfred Hauswirth
http://arxiv.org/abs/2005.02614v1
• [cs.IR]SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
Sean MacAvaney, Arman Cohan, Nazli Goharian
http://arxiv.org/abs/2005.02365v2
• [cs.IR]TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
http://arxiv.org/abs/2005.02844v1
• [cs.IT]Bit-Interleaved Coded Multiple Beamforming with Perfect Coding in Massive MIMO Systems
Sadjad Sedighi, Ender Ayanoglu
http://arxiv.org/abs/2005.02380v1
• [cs.IT]Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing
Wanli Wen, Ying Cui, Tony Q. S. Quek, Fu-Chun Zheng, Shi Jin
http://arxiv.org/abs/2005.02627v1
• [cs.IT]Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC
Wanqing Zhang, Shuaichao Li, Ying Cui
http://arxiv.org/abs/2005.02389v1
• [cs.IT]Performance Limit and Code Design for Resistive Random-Access Memory Channels
Guanghui Song, Kui Cai, Xingwei Zhong, Jun Cheng
http://arxiv.org/abs/2005.02601v1
• [cs.IT]Physical Layer Security of TAS/MRC Over $κ$-$μ$ Shadowed Fading Channel
José David Vega Sánchez, D. P. Moya Osorio, F. Javier López-Martínez, Martha Cecilia Paredes Paredes, Luis Urquiza-Aguiar
http://arxiv.org/abs/2005.02441v1
• [cs.IT]Regularized Estimation of Information via High Dimensional Canonical Correlation Analysis
Jaume Riba, Ferran de Cabrera
http://arxiv.org/abs/2005.02977v1
• [cs.LG]A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
Fan He, Xiaolin Huang, Kexin Lv, Jie Yang
http://arxiv.org/abs/2005.02664v1
• [cs.LG]A Comprehensive Survey on Outlying Aspect Mining Methods
Durgesh Samariya, Jiangang Ma, Sunil Aryal, Kai Ming Ting
http://arxiv.org/abs/2005.02637v1
• [cs.LG]A Survey of Algorithms for Black-Box Safety Validation
Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer
http://arxiv.org/abs/2005.02979v1
• [cs.LG]Approaches and Applications of Early Classification of Time Series: A Review
Ashish Gupta, Hari Prabhat Gupta, Bhaskar Biswas, Tanima Dutta
http://arxiv.org/abs/2005.02595v1
• [cs.LG]AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance
Young Geun Kim, Carole-Jean Wu
http://arxiv.org/abs/2005.02544v1
• [cs.LG]Deep Divergence Learning
Kubra Cilingir, Rachel Manzelli, Brian Kulis
http://arxiv.org/abs/2005.02612v1
• [cs.LG]Deep Lagrangian Constraint-based Propagation in Graph Neural Networks
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
http://arxiv.org/abs/2005.02392v1
• [cs.LG]EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen
http://arxiv.org/abs/2005.02563v1
• [cs.LG]Effect of The Latent Structure on Clustering with GANs
Deepak Mishra, Aravind Jayendran, Prathosh A. P
http://arxiv.org/abs/2005.02435v1
• [cs.LG]Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
Guanlin Li, Shuya Ding, Jun Luo, Chang Liu
http://arxiv.org/abs/2005.02552v1
• [cs.LG]Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning
Semih Yagli, Alex Dytso, H. Vincent Poor
http://arxiv.org/abs/2005.02503v1
• [cs.LG]LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees
Kacper Sokol, Peter Flach
http://arxiv.org/abs/2005.01
93f
427v1
93f
427v1)
• [cs.LG]Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer
http://arxiv.org/abs/2005.02934v1
• [cs.LG]Learning Architectures from an Extended Search Space for Language Modeling
Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li
http://arxiv.org/abs/2005.02593v1
• [cs.LG]Local Search is State of the Art for NAS Benchmarks
Colin White, Sam Nolen, Yash Savani
http://arxiv.org/abs/2005.02960v1
• [cs.LG]Mathematical foundations of stable RKHSs
Mauro Bisiacco, Gianluigi Pillonetto
http://arxiv.org/abs/2005.02971v1
• [cs.LG]Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Henrique Lemos, Pedro Avelar, Marcelo Prates, Luís Lamb, Artur Garcez
http://arxiv.org/abs/2005.02525v1
• [cs.LG]Proper measure for adversarial robustness
Hyeongji Kim, Ketil Malde
http://arxiv.org/abs/2005.02540v1
• [cs.LG]Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
Toshiaki Koike-Akino, Ye Wang
http://arxiv.org/abs/2005.02870v1
• [cs.LG]Stolen Probability: A Structural Weakness of Neural Language Models
David Demeter, Gregory Kimmel, Doug Downey
http://arxiv.org/abs/2005.02433v1
• [cs.LG]SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models
Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov
http://arxiv.org/abs/2005.02387v1
• [cs.LG]Testing the Robustness of AutoML Systems
Tuomas Halvari, Jukka K. Nurminen, Tommi Mikkonen
http://arxiv.org/abs/2005.02649v1
• [cs.LG]Time Dependence in Non-Autonomous Neural ODEs
Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani
http://arxiv.org/abs/2005.01906v2
• [cs.LG]Training robust neural networks using Lipschitz bounds
Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer
http://arxiv.org/abs/2005.02929v1
• [cs.LG]Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait Patterns
Anirudh Som, Narayanan Krishnamurthi, Matthew Buman, Pavan Turaga
http://arxiv.org/abs/2005.02589v1
• [cs.LO]Towards Concise, Machine-discovered Proofs of Gödel’s Two Incompleteness Theorems
Elijah Malaby, Bradley Dragun, John Licato
http://arxiv.org/abs/2005.02576v1
• [cs.MM]Cross-media Structured Common Space for Multimedia Event Extraction
Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang
http://arxiv.org/abs/2005.02472v1
• [cs.NE]Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates
Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer
http://arxiv.org/abs/2005.02666v1
• [cs.NE]Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning
Kyung-Hwan Shim, Ji-Hoon Jeong, Seong-Whan Lee
http://arxiv.org/abs/2005.02602v1
• [cs.NE]Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
Desheng Wang, Jiawei Liu, Xiang Qi, Baolin Sun, Peng Zhang
http://arxiv.org/abs/2005.02558v1
• [cs.NE]Vehicle Routing and Scheduling for Regular Mobile Healthcare Services
Cosmin Pascaru, Paul Diac
http://arxiv.org/abs/2005.02618v1
• [cs.NI]Scheduling and Dynamic Pilot Allocation For Massive MIMO with Varying Traffic
Mehmet Karaca
http://arxiv.org/abs/2005.02644v1
• [cs.RO]A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids
Abdullatif Baba
http://arxiv.org/abs/2005.02460v1
• [cs.RO]Active Preference-Based Gaussian Process Regression for Reward Learning
Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
http://arxiv.org/abs/2005.02575v1
• [cs.RO]DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation
Fang Wan, Haokun Wang, Xiaobo Liu, Linhan Yang, Chaoyang Song
http://arxiv.org/abs/2005.02588v1
• [cs.RO]Multi-Resolution POMDP Planning for Multi-Object Search in 3D
Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex
http://arxiv.org/abs/2005.02878v1
• [cs.RO]Robotic Arm Control and Task Training through Deep Reinforcement Learning
Andrea Franceschetti, Elisa Tosello, Nicola Castaman, Stefano Ghidoni
http://arxiv.org/abs/2005.02632v1
• [cs.RO]SwarmLab: a Matlab Drone Swarm Simulator
Enrica Soria, Fabrizio Schiano, Dario Floreano
http://arxiv.org/abs/2005.02769v1
• [cs.SI]Birth-Burst in Evolving Networks
Dong Chen, Hong Yu
http://arxiv.org/abs/2005.02549v1
• [cs.SI]Information Propagation in Stochastic Networks
Peter Laszlo Juhasz
http://arxiv.org/abs/2005.00758v2
• [eess.IV]Groupwise Multimodal Image Registration using Joint Total Variation
Mikael Brudfors, Yaël Balbastre, John Ashburner
http://arxiv.org/abs/2005.02933v1
• [eess.IV]Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer
http://arxiv.org/abs/2005.02706v1
• [eess.IV]Multi-task pre-training of deep neural networks
Romain Mormont, Pierre Geurts, Raphaël Marée
http://arxiv.org/abs/2005.02561v1
• [eess.IV]NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
http://arxiv.org/abs/2005.02291v2
• [eess.IV]Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo
http://arxiv.org/abs/2005.02818v1
• [eess.SP]Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis
Ehsan Tohidi, David Gesbert, Antonio Bazco-Nogueras, Paul de Kerret
http://arxiv.org/abs/2005.02746v1
• [eess.SP]Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array
Aya Mostafa Ahmed, Omar Eissa, Aydin Sezgin
http://arxiv.org/abs/2005.02728v1
• [eess.SP]High-Contrast Limited-Angle Reflection Tomography
Ajinkya Kadu, Hassan Mansour, Petros T. Boufounos
http://arxiv.org/abs/2005.02903v1
• [eess.SP]Identifying Unused RF Channels Using Least Matching Pursuit
Emre Gönültaş, Milad Taghavi, Sweta Soni, Alyssa B. Apsel, Christoph Studer
http://arxiv.org/abs/2005.02571v1
• [eess.SP]Network Massive MIMO Transmission Over Millimeter-Wave and Terahertz Bands: Mobility Enhancement and Blockage Mitigation
Li You, Xu Chen, Xiaohang Song, Fan Jiang, Wenjin Wang, Xiqi Gao, Gerhard Fettweis
http://arxiv.org/abs/2005.02650v1
• [eess.SP]Similarity and delay between two non-narrow-band time signals
Zhen Sun, Guocheng Wang, Xiaoqing Su, Xinghui Liang, Lintao Liu
http://arxiv.org/abs/2005.02579v1
• [eess.SY]Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
Marcel Menner, Melanie N. Zeilinger
http://arxiv.org/abs/2005.02767v1
• [math.CO]On the list recoverability of randomly punctured codes
Ben Lund, Aditya Potukuchi
http://arxiv.org/abs/2005.02478v1
• [math.OC]Variance Reduction for Sequential Sampling in Stochastic Programming
Jangho Park, Rebecca Stockbridge, Güzin Bayraksan
http://arxiv.org/abs/2005.02458v1
• [math.ST]Bayesian estimation and prediction for mixtures
Aziz LMoudden, Éric Marchand
http://arxiv.org/abs/2005.02879v1
• [math.ST]Bias-Variance Tradeoffs in Joint Spectral Embeddings
Benjamin Draves, Daniel L. Sussman
http://arxiv.org/abs/2005.02511v1
• [math.ST]Dependence structure estimation using Copula Recursive Trees
Oskar Laverny, Véronique Maume-Deschamps, Esterina Masiello, Didier Rullière
http://arxiv.org/abs/2005.02912v1
• [math.ST]Exponential increase of the power of the independence and homogeneity chi-square tests with auxiliary information
Mickael Albertus
http://arxiv.org/abs/2005.02952v1
• [math.ST]Multiscale Bayesian Survival Analysis
Ismaël Castillo, Stéphanie van der Pas
http://arxiv.org/abs/2005.02889v1
• [math.ST]Statistical errors in Monte Carlo-based inference for random elements
Yasutaka Shimizu
http://arxiv.org/abs/2005.02532v1
• [physics.ao-ph]Predicting atmospheric optical properties for radiative transfer computations using neural networks
Menno A. Veerman, Robert Pincus, Robin Stoffer, Caspar van Leeuwen, Damian Podareanu, Chiel C. van Heerwaarden
http://arxiv.org/abs/2005.02265v2
• [physics.app-ph]Modeling nanoconfinement effects using active learning
Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan
http://arxiv.org/abs/2005.02587v1
• [physics.ed-ph]A Network Science Summer Cour
1000
se for High School Students
Florian Klimm, Benjamin F. Maier
http://arxiv.org/abs/2005.02487v1
• [physics.soc-ph]City limits in the age of smartphones and urban scaling
Boris Sotomayor-Gómez, Horacio Samaniego
http://arxiv.org/abs/2005.02978v1
• [physics.soc-ph]Interplay between $k$-core and community structure in complex networks
Irene Malvestio, Alessio Cardillo, Naoki Masuda
http://arxiv.org/abs/2005.01147v2
• [physics.soc-ph]Network extraction by routing optimization
Diego Baptista, Daniela Leite, Enrico Facca, Mario Putti, Caterina De Bacco
http://arxiv.org/abs/2005.02805v1
• [physics.soc-ph]The Fractional Preferential Attachment Scale-Free Network Model
Rafał Rak, Ewa Rak
http://arxiv.org/abs/2005.01512v1
• [q-bio.GN]A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
Vineet K Raghu, Xiaoyu Ge, Arun Balajee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis
http://arxiv.org/abs/2005.02521v1
• [q-bio.NC]A Model for Image Segmentation in Retina
Christopher Warner, Friedrich T. Sommer
http://arxiv.org/abs/2005.02567v1
• [q-bio.QM]Application-oriented mathematical algorithms for group testing
Endre Csóka
http://arxiv.org/abs/2005.02388v1
• [q-bio.QM]Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing
Semion Rozov
http://arxiv.org/abs/2005.02935v1
• [q-fin.CP]A generative adversarial network approach to calibration of local stochastic volatility models
Christa Cuchiero, Wahid Khosrawi, Josef Teichmann
http://arxiv.org/abs/2005.02505v1
• [q-fin.CP]ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
Tian Guo, Nicolas Jamet, Valentin Betrix, Louis-Alexandre Piquet, Emmanuel Hauptmann
http://arxiv.org/abs/2005.02527v1
• [quant-ph]Towards quantum advantage for topological data analysis
Casper Gyurik, Chris Cade, Vedran Dunjko
http://arxiv.org/abs/2005.02607v1
• [stat.AP]A Bernoulli Mixture Model to Understand and Predict Children Longitudinal Wheezing Patterns
Pierre G. B. Moutounet-Cartan
http://arxiv.org/abs/2005.02931v1
• [stat.AP]Coronavirus and sports leagues: how to obtain a fair ranking if the season cannot resume?
László Csató
http://arxiv.org/abs/2005.02280v2
• [stat.AP]Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud
Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
http://arxiv.org/abs/2005.02488v1
• [stat.AP]Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART)
Piyali Basak, Antonio R. Linero, Debajyoti SInha, Stuart Lipsitz
http://arxiv.org/abs/2005.02509v1
• [stat.AP]The Information Content of Taster’s Valuation in Tea Auctions of India
Abhinandan Dalal, Diganta Mukherjee, Subhrajyoty Roy
http://arxiv.org/abs/2005.02814v1
• [stat.ME]A Chi-square Goodness-of-Fit Test for Continuous Distributions against a known Alternative
Wolfgang Rolke, Cristian Gutierrez Gongora
http://arxiv.org/abs/2005.02793v1
• [stat.ME]A Lasso-OLS Hybrid Approach to Covariate Selection and Average Treatment Effect Estimation for Clustered RCTs Using Design-Based Methods
Peter Z. Schochet
http://arxiv.org/abs/2005.02502v1
• [stat.ME]A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
Ray Bai, Lifeng Lin, Mary R. Boland, Yong Chen
http://arxiv.org/abs/2005.02930v1
• [stat.ME]Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles
Yinpu Li, Antonio R. Linero, Jared S. Murray
http://arxiv.org/abs/2005.02490v1
• [stat.ME]Group Heterogeneity Assessment for Multilevel Models
Topi Paananen, Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari
http://arxiv.org/abs/2005.02773v1
• [stat.ME]Log-Regularly Varying Scale Mixture of Normals for Robust Regression
Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa
http://arxiv.org/abs/2005.02800v1
• [stat.ME]Multiple-bias sensitivity analysis using bounds
Louisa H. Smith, Maya B. Mathur, Tyler J. VanderWeele
http://arxiv.org/abs/2005.02908v1
• [stat.ME]Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
Muhammad Ammar Malik, Tom Michoel
http://arxiv.org/abs/2005.02921v1
• [stat.ML]DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
Yichun Hu, Nathan Kallus
http://arxiv.org/abs/2005.02791v1
• [stat.ML]Designing Data Augmentation for Simulating Interventions
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré
http://arxiv.org/abs/2005.01856v2
• [stat.ML]Event Cartography: Latent Point Process Embeddings
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2005.02515v1
• [stat.ML]Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
Saswata Sahoo, Souradip Chakraborty
http://arxiv.org/abs/2005.02817v1
• [stat.ML]Token Manipulation Generative Adversarial Network for Text Generation
DaeJin Jo
http://arxiv.org/abs/2005.02794v1
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