今日学术视野(2020.6.2)

cs.AI - 人工智能

cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 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 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.GN - 通用财务 q-fin.PR - 证券定价 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction • [cs.AI]First Neural Conjecturing Datasets and Experiments • [cs.CL]Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models • [cs.CL]Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics • [cs.CL]Detection of Bangla Fake News using MNB and SVM Classifier • [cs.CL]Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking • [cs.CL]Investigating Deep Learning Approaches for Hate Speech Detection in Social Media • [cs.CL]Language (Technology) is Power: A Critical Survey of “Bias” in NLP • [cs.CL]Massive Choice, Ample Tasks (MaChAmp):A Toolkit for Multi-task Learning in NLP • [cs.CL]Neural Simultaneous Speech Translation Using Alignment-Based Chunking • [cs.CL]Noise-robust Named Entity Understanding for Virtual Assistants • [cs.CL]On Incorporating Structural Information to improve Dialogue Response Generation • [cs.CL]Prosody leaks into the memories of words • [cs.CL]SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences • [cs.CL]The Importance of Suppressing Domain Style in Authorship Analysis • [cs.CL]Using Large Pretrained Language Models for Answering User Queries from Product Specifications • [cs.CL]What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP • [cs.CR]Algorithm Selection Framework for Cyber Attack Detection • [cs.CR]The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums • [cs.CV]Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection • [cs.CV]Controlling Length in Image Captioning • [cs.CV]Deep graph learning for semi-supervised classification • [cs.CV]Dynamic Routing with Path Diversity and Consistency for Compact Network Learning • [cs.CV]Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification • [cs.CV]Federated Face Anti-spoofing • [cs.CV]Fixed-size Objects Encoding for Visual Relationship Detection • [cs.CV]High-order structure preserving graph neural network for few-shot learning • [cs.CV]HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens • [cs.CV]LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery • [cs.CV]Monocular Depth Estimators: Vulnerabilities and Attacks • [cs.CV]Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization • [cs.CV]NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images • [cs.CV]PnPNet: End-to-End Perception and Prediction with Tracking in the Loop • [cs.CV]Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning • [cs.CV]Privacy-Protection Drone Patrol System based on Face Anonymization • [cs.CV]Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences • [cs.CV]Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning • [cs.CV]UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content • [cs.CV]Unconstrained Matching of 2D and 3D Descriptors for 6-DOF Pose Estimation • [cs.CV]WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation • [cs.CV]Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling • [cs.CV]ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification • [cs.CY]IMDb data from two generations (1979 to 2019). Part one: Dataset • [cs.CY]Improving Community Resiliency and Emergency Response With Artificial Intelligence • [cs.CY]Towards an Electronic Health Record System in Vietnam: A Core Readiness Assessment • [cs.CY]Use and Adaptation of Open Source Software for Capacity Building to Strengthen Health Research in Low- and Middle-Income Countries • [cs.DB]Learning How To Learn Within An LSM-based Key-Value Store • [cs.DB]Multi-Dimensional Event Data in Graph Databases • [cs.DC]A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent • [cs.DC]A Survey on Blockchain Interoperability: Past, Present, and Future Trends • [cs.DC]AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments • [cs.DC]Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format • [cs.DC]Parallelizing Machine Learning as a Service for the End-User • [cs.ET]Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models • [cs.HC]An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes • [cs.IR]Controlling Fairness and Bias in Dynamic Learning-to-Rank • [cs.IR]Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data • [cs.IR]Los perfiles de investigación y su implantación en la Universidad Publica de Navarra • [cs.IR]Relation Extraction with Explanation • [cs.IR]Towards Question-based Recommender Systems • [cs.IT]Achievable Rate Analyses and Phase Shift Optimizations on Intelligent Reflecting Surface with Hardware Impairments • [cs.IT]Algorithms for reconstruction over single and multiple deletion channels • [cs.IT]An Analytical Model for Molecular Communication over a Non-linear Reaction-Diffusion Medium • [cs.IT]Erasure Broadcast Channels with Intermittent Feedback • [cs.IT]Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design • [cs.IT]On Lattice Packings and Coverings of Asymmetric Limited-Magnitude Balls • [cs.IT]On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains • [cs.IT]Performance of Multibeam Very High Throughput Satellite Systems Based on FSO Feeder Links with HPA Nonlinearity • [cs.IT]Query complexity of heavy hitter estimation • [cs.IT]Task-Based Information Compression for Multi-Agent Communication Problems with Channel Rate Constraints • [cs.LG]A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers • [cs.LG]Agnostic Learning of a Single Neuron with Gradient Descent • [cs.LG]Bayesian network structure learning with causal effects in the presence of latent variables • [cs.LG]DC-NAS: Divide-and-Conquer Neural Architecture Search • [cs.LG]Deep convolutional tensor network • [cs.LG]Differentially Private Decomposable Submodular Maximization • [cs.LG]Learning From Context-Agnostic Synthetic Data • [cs.LG]Machine Learning for recognition of minerals from multispectral data • [cs.LG]Machine learning in spectral domain • [cs.LG]Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity • [cs.LG]Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics • [cs.LG]Non-Local Graph Neural Networks • [cs.LG]Probabilistic Object Classification using CNN ML-MAP layers • [cs.LG]Reinforcement Learning • [cs.LG]SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions • [cs.LG]Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization • [cs.LG]Unsupervised Feature Selection via Multi-step Markov Transition Probability • [cs.NI]Two-Hop Connectivity to the Roadside in a VANET Under the Random Connection Model • [cs.RO]A Hierarchical Collision Avoidance Architecture for Multiple Fixed-Wing UAVs in an Integrated Airspace • [cs.RO]An Observer Design for Visual Simultaneous Localisation and Mapping with Output Equivariance • [cs.RO]DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation • [cs.RO]Data-Driven Convergence Prediction of Astrobots Swarms • [cs.RO]Hibikino-Musashi@Home 2020 Team Description Paper • [cs.RO]Low-Cost Fiducial-based 6-Axis Force-Torque Sensor • [cs.RO]MAV Development Towards Navigation in Unknown and Dark Mining Tunnels • [cs.RO]Non-Linearity Measure for POMDP-based Motion Planning • [cs.RO]Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera • [cs.RO]Stochastic Modeling of Distance to Collision for Robot Manipulators • [cs.SE]Simplifying Deep-Learning-Based Model for Code Search • [cs.SI]A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification • [cs.SI]A rank-3 network representation for single-affiliation systems • [cs.SI]Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions • [cs.SI]Fairness-Aware Link Analysis • [cs.SI]Unsupervised Anomaly Detection in Journal-Level Citation Networks • [econ.EM]Machine learning time series regressions with an application to nowcasting • [eess.AS]Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization • [eess.AS]On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition • [eess.AS]SNR-based teachers-student technique for speech enhancement • [eess.AS]Sub-band Knowledge Distillation Framework for Speech Enhancement • [eess.IV]A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection • [eess.IV]Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images • [eess.IV]Enhancing Foreground Boundaries for Medical Image Segmentation • [eess.IV]Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks • [eess.IV]Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model • [eess.IV]Uncertainty Evaluation Metric for Brain Tumour Segmentation • [eess.SP]Intelligent Residential Energy Management System using Deep Reinforcement Learning • [math.OC]Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks • [math.OC]Online DR-Submodular Maximization with Stochastic Cumulative Constraints • [math.ST]Doubly robust estimation of average treatment effect revisited • [math.ST]Malliavin calculus techniques for local asymptotic mixed normality and their application to degenerate diffusions • [physics.comp-ph]Machine Learning for Condensed Matter Physics • [physics.soc-ph]A Current-Flow Centrality With Adjustable Reach • [physics.soc-ph]Network-based ranking in social systems: three challenges • [physics.soc-ph]Recurrence in the evolution of air transport networks • [q-bio.NC]Extracting low-dimensional psychological representations from convolutional neural networks • [q-bio.QM]Trajectory Clustering in Multi-layer Networks: Identifying Parkinson’s Subtypes • [q-fin.GN]Egalitarian and Just Digital Currency Networks • [q-fin.PR]Pricing Energy Contracts under Regime Switching Time-Changed models • [stat.AP]A Causal Machine Learning Framework for Predicting Preventable Hospital Readmissions • [stat.AP]Accounting for location uncertainty in distance sampling data • [stat.AP]Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation • [stat.AP]Implementation of Tripartite Estimands Using Adherence Causal Estimators Under the Causal Inference Framework • [stat.AP]Model selection for ecological community data using tree shrinkage priors • [stat.ME]A Robust Bayesian Approach to Function Registration in $\mathbb{R}^1$ • [stat.ME]Estimation of Semi-Markov Multi-state Models: A Comparison of the Sojourn Times and Transition Intensities Approaches • [stat.ME]Multiresolution Decomposition of Areal Count Data • [stat.ME]Ridge TRACE Diagnostics • [stat.ME]Statistical applications of Random matrix theory: comparison of two populations III • [stat.ME]Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis • [stat.ML]CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing • [stat.ML]Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression • [stat.ML]The energy distance for ensemble and scenario reduction ····································· • [cs.AI]Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction Ozge Nilay Yalcin, Nouf Abukhodair, Steve DiPaola http://arxiv.org/abs/2005.14223v1 • [cs.AI]First Neural Conjecturing Datasets and Experiments Josef Urban, Jan Jakubův http://arxiv.org/abs/2005.14664v1 • [cs.CL]Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro http://arxiv.org/abs/2005.14709v1 • [cs.CL]Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics Gemma De las Cuevas, Andreas Klingler, Martha Lewis, Tim Netzer http://arxiv.org/abs/2005.14134v2 • [cs.CL]Detection of Bangla Fake News using MNB and SVM Classifier Md Gulzar Hussain, Md Rashidul Hasan, Mahmuda Rahman, Joy Protim, Sakib Al Hasan http://arxiv.org/abs/2005.14627v1 • [cs.CL]Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski http://arxiv.org/abs/2005.14253v1 • [cs.CL]Investigating Deep Learning Approaches for Hate Speech Detection in Social Media Prashant Kapil, Asif Ekbal, Dipankar Das http://arxiv.org/abs/2005.14690v1 • [cs.CL]Language (Technology) is Power: A Critical Survey of “Bias” in NLP Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna Wallach http://arxiv.org/abs/2005.14050v2 • [cs.CL]Massive Choice, Ample Tasks (MaChAmp):A Toolkit for Multi-task Learning in NLP Rob van der Goot, Ahmet Üstün, Alan Ramponi, Barbara Plank http://arxiv.org/abs/2005.14672v1 • [cs.CL]Neural Simultaneous Speech Translation Using Alignment-Based Chunking Patrick Wilken, Tamer Alkhouli, Evgeny Matusov, Pavel Golik http://arxiv.org/abs/2005.14489v1 • [cs.CL]Noise-robust Named Entity Understanding for Virtual Assistants Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Lin Li, Justine Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason Williams http://arxiv.org/abs/2005.14408v1 • [cs.CL]On Incorporating Structural Information to improve Dialogue Response Generation Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra http://arxiv.org/abs/2005.14315v1 • [cs.CL]Prosody leaks into the memories of words Kevin Tang, Jason A. Shaw http://arxiv.org/abs/2005.14716v1 • [cs.CL]SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences Yusuke Takimoto, Yosuke Fukuchi, Shoya Matsumori, Michita Imai http://arxiv.org/abs/2005.14662v1 • [cs.CL]The Importance of Suppressing Domain Style in Authorship Analysis Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, Martin Potthast http://arxiv.org/abs/2005.14714v1 • [cs.CL]Using Large Pretrained Language Models for Answering User Queries from Product Specifications Kalyani Roy, Smit Shah, Nithish Pai, Jaidam Ramtej, Prajit Prashant Nadkarn, Jyotirmoy Banerjee, Pawan Goyal, Surender Kumar http://arxiv.org/abs/2005.14613v1 • [cs.CL]What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP Oskar Wysocki, Malina Florea, Andre Freitas http://arxiv.org/abs/2005.14299v1 • [cs.CR]Algorithm Selection Framework for Cyber Attack Detection Marc Chalé, Nathaniel D. Bastian, Jeffery Weir http://arxiv.org/abs/2005.14230v1 • [cs.CR]The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums Emily Tseng, Rosanna Bellini, Nora McDonald, Matan Danos, Rachel Greenstadt, Damon McCoy, Nicola Dell, Thomas Ristenpart http://arxiv.org/abs/2005.14341v1 • [cs.CV]Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed http://arxiv.org/abs/2005.14308v1 • [cs.CV]Controlling Length in Image Captioning Ruotian Luo, Greg Shakhnarovich http://arxiv.org/abs/2005.14386v1 • [cs.CV]Deep graph learning for semi-supervised classification Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, Fan Zhao, Yajun Chen http://arxiv.org/abs/2005.14403v1 • [cs.CV]Dynamic Routing with Path Diversity and Consistency for Compact Network Learning Huanyu Wang, Zequn Qin, Xi Li http://arxiv.org/abs/2005.14439v1 • [cs.CV]Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification Fei Shen, Jianqing Zhu, Xiaobin Zhu, Yi Xie, Jingchang Huang http://arxiv.org/abs/2005.14684v1 • [cs.CV]Federated Face Anti-spoofing Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel http://arxiv.org/abs/2005.14638v1 • [cs.CV]Fixed-size Objects Encoding for Visual Relationship Detection Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou http://arxiv.org/abs/2005.14600v1 • [cs.CV]High-order structure preserving graph neural network for few-shot learning Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao http://arxiv.org/abs/2005.14415v1 • [cs.CV]HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu http://arxiv.org/abs/2005.14446v1 • [cs.CV]LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn http://arxiv.org/abs/2005.14264v1 • [cs.CV]Monocular Depth Estimators: Vulnerabilities and Attacks Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew http://arxiv.org/abs/2005.14302v1 • [cs.CV]Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization Komal Chugh, Parul Gupta, Abhinav Dhall, Ramanathan Subramanian http://arxiv.org/abs/2005.14405v1 • [cs.CV]NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir Rajpoot http://arxiv.org/abs/2005.14511v1 • [cs.CV]PnPNet: End-to-End Perception and Prediction with Tracking in the Loop Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun http://arxiv.org/abs/2005.14711v1 • [cs.CV]Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory Zelinsky, Dimitris Samaras, Minh Hoai http://arxiv.org/abs/2005.14310v1 • [cs.CV]Privacy-Protection Drone Patrol System based on Face Anonymization Harim Lee, Myeung Un Kim, Yeongjun Kim, Hyeonsu Lyu, Hyun Jong Yang http://arxiv.org/abs/2005.14390v1 • [cs.CV]Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew http://arxiv.org/abs/2005.14313v1 • [cs.CV]Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed http://arxiv.org/abs/2005.14284v1 • [cs.CV]UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik http://arxiv.org/abs/2005.14354v1 • [cs.CV]Unconstrained Matching of 2D and 3D Descriptors for 6-DOF Pose Estimation Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel http://arxiv.org/abs/2005.14502v1 • [cs.CV]WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation Qiufu Li, Linlin Shen http://arxiv.org/abs/2005.14461v1 • [cs.CV]Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling Wenwu Ye, Jin Yao, Hui Xue, Yi Li http://arxiv.org/abs/2005.14480v1 • [cs.CV]ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin http://arxiv.org/abs/2005.14288v1 • [cs.CY]IMDb data from two generations (1979 to 2019). Part one: Dataset M. Bahraminasr, A. Vafaei Sadr http://arxiv.org/abs/2005.14147v2 • [cs.CY]Improving Community Resiliency and Emergency Response With Artificial Intelligence Ben Ortiz, Laura Kahn, Marc Bosch, Philip Bogden, Viveca Pavon-Harr, Onur Savas, Ian McCulloh http://arxiv.org/abs/2005.14212v1 • [cs.CY]Towards an Electronic Health Record System in Vietnam: A Core Readiness Assessment Stefan Hochwarter, Do Duy Cuong, Nguyen Thi Kim Chuc, Mattias Larsson http://arxiv.org/abs/2005.14248v1 • [cs.CY]Use and Adaptation of Open Source Software for Capacity Building to Strengthen Health Research in Low- and Middle-Income Countries Stefan Hochwarter, Salla Atkins, Vinod K. Diwan, Nabil Zary http://arxiv.org/abs/2005.14233v1 • [cs.DB]Learning How To Learn Within An LSM-based Key-Value Store Yifan Dai, Yien Xu, Aishwarya Ganesan, Ramnatthan Alagappan, Brian Kroth, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau http://arxiv.org/abs/2005.14213v1 • [cs.DB]Multi-Dimensional Event Data in Graph Databases Stefan Esser, Dirk Fahland http://arxiv.org/abs/2005.14552v1 • [cs.DC]A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent Wanjing Wei, Yangzihao Wang, Pin Gao, Shijie Sun, Donghai Yu http://arxiv.org/abs/2005.13789v2 • [cs.DC]A Survey on Blockchain Interoperability: Past, Present, and Future Trends Rafael Belchior, André Vasconcelos, Sérgio Guerreiro, Miguel Correia http://arxiv.org/abs/2005.14282v1 • [cs.DC]AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments Lucia Schuler, Somaya Jamil, Niklas Kühl http://arxiv.org/abs/2005.14410v1 • [cs.DC]Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format Shaohuai Shi, Qiang Wang, Xiaowen Chu http://arxiv.org/abs/2005.14469v1 • [cs.DC]Parallelizing Machine Learning as a Service for the End-User Daniela Loreti, Marco Lippi, Paolo Torroni http://arxiv.org/abs/2005.14080v2 • [cs.ET]Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models Dharani Punithan, Byoung-Tak Zhang http://arxiv.org/abs/2005.13780v2 • [cs.HC]An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes Affan Idrees, Zahid Iqbal, Maria Ishfaq http://arxiv.org/abs/2005.14517v1 • [cs.IR]Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims http://arxiv.org/abs/2005.14713v1 • [cs.IR]Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data Susanne Arndt, Dieter Schnäpp http://arxiv.org/abs/2005.14576v1 • [cs.IR]Los perfiles de investigación y su implantación en la Universidad Publica de Navarra Manuel Ruiz de Luzuriaga Peña, Isabel Muñoz Mouriño, Mercedes Bogino Larrambebere http://arxiv.org/abs/2005.14630v1 • [cs.IR]Relation Extraction with Explanation Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli http://arxiv.org/abs/2005.14271v1 • [cs.IR]Towards Question-based Recommender Systems Jie Zou, Yifan Chen, Evangelos Kanoulas http://arxiv.org/abs/2005.14255v1 • [cs.IT]Achievable Rate Analyses and Phase Shift Optimizations on Intelligent Reflecting Surface with Hardware Impairments Zhe Xing, Rui Wang http://arxiv.org/abs/2005.14411v1 • [cs.IT]Algorithms for reconstruction over single and multiple deletion channels Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas Diggavi, Christina Fragouli http://arxiv.org/abs/2005.14388v1 • [cs.IT]An Analytical Model for Molecular Communication over a Non-linear Reaction-Diffusion Medium Hamidreza Abin, Amin Gohari, Masoumeh Nasiri-Kenari http://arxiv.org/abs/2005.14296v1 • [cs.IT]Erasure Broadcast Channels with Intermittent Feedback Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang http://arxiv.org/abs/2005.14383v1 • [cs.IT]Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire http://arxiv.org/abs/2005.14457v1 • [cs.IT]On Lattice Packings and Coverings of Asymmetric Limited-Magnitude Balls Hengjia Wei, Xin Wang, Moshe Schwartz http://arxiv.org/abs/2005.14519v1 • [cs.IT]On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains Jindan Xu, Yucheng Wang, Wei Xu, Shi Jin, Hong Shen, Xiaohu You http://arxiv.org/abs/2005.14608v1 • [cs.IT]Performance of Multibeam Very High Throughput Satellite Systems Based on FSO Feeder Links with HPA Nonlinearity Emna Zedini, Abla Kammoun, Mohamed-Slim Alouini http://arxiv.org/abs/2005.14218v1 • [cs.IT]Query complexity of heavy hitter estimation Sahasrajit Sarmasarkar, Kota Srinivas Reddy, Nikhil Karamchandani http://arxiv.org/abs/2005.14425v1 • [cs.IT]Task-Based Information Compression for Multi-Agent Communication Problems with Channel Rate Constraints Arsham Mostaani, Thang X. Vu, Symeon Chatzinotas, Björn Ottersten http://arxiv.org/abs/2005.14220v1 • [cs.LG]A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers Kevin Fauvel, Véronique Masson, Élisa Fromont http://arxiv.org/abs/2005.14501v1 • [cs.LG]Agnostic Learning of a Single Neuron with Gradient Descent Spencer Frei, Yuan Cao, Quanquan Gu http://arxiv.org/abs/2005.14426v1 • [cs.LG]Bayesian network structure learning with causal effects in the presence of latent variables Kiattikun Chobtham, Anthony C. Constantinou http://arxiv.org/abs/2005.14381v1 • [cs.LG]DC-NAS: Divide-and-Conquer Neural Architecture Search Yunhe Wang, Yixing Xu, Dacheng Tao http://arxiv.org/abs/2005.14456v1 • [cs.LG]Deep convolutional tensor network Philip Blagoveschensky, Anh Huy Phan http://arxiv.org/abs/2005.14506v1 • [cs.LG]Differentially Private Decomposable Submodular Maximization Anamay Chaturvedi, Huy Nguyen, Lydia Zakynthinou http://arxiv.org/abs/2005.14717v1 • [cs.LG]Learning From Context-Agnostic Synthetic Data Charles Jin, Martin Rinard http://arxiv.org/abs/2005.14707v1 • [cs.LG]Machine Learning for recognition of minerals from multispectral data Pavel Jahoda, Igor Drozdovskiy, Francesco Sauro, Leonardo Turchi, Samuel Payler, Loredana Bessone http://arxiv.org/abs/2005.14324v1 • [cs.LG]Machine learning in spectral domain Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli http://arxiv.org/abs/2005.14436v1 • [cs.LG]Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro http://arxiv.org/abs/2005.14635v1 • [cs.LG]Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer http://arxiv.org/abs/2005.14617v1 • [cs.LG]Non-Local Graph Neural Networks Meng Liu, Zhengyang Wang, Shuiwang Ji http://arxiv.org/abs/2005.14612v1 • [cs.LG]Probabilistic Object Classification using CNN ML-MAP layers G. Melotti, C. Premebida, J. J. Bird, D. R. Faria, N. Gonçalves http://arxiv.org/abs/2005.14565v1 • [cs.LG]Reinforcement Learning Olivier Buffer, Olivier Pietquin, Paul Weng http://arxiv.org/abs/2005.14419v1 • [cs.LG]SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions Mao Ye, Chengyue Gong, Qiang Liu http://arxiv.org/abs/2005.14424v1 • [cs.LG]Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang http://arxiv.org/abs/2005.14601v1 • [cs.LG]Unsupervised Feature Selection via Multi-step Markov Transition Probability Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang http://arxiv.org/abs/2005.14359v1 • [cs.NI]Two-Hop Connectivity to the Roadside in a VANET Under the Random Connection Model Alexander P. Kartun-Giles, Konstantinos Koufos, Xiao Lu, Nicolas Privault, Dusit Niyato http://arxiv.org/abs/2005.14407v1 • [cs.RO]A Hierarchical Collision Avoidance Architecture for Multiple Fixed-Wing UAVs in an Integrated Airspace Yajing Wang, Xiangke Wang, Shulong Zhao, Lincheng Shen http://arxiv.org/abs/2005.14455v1 • [cs.RO]An Observer Design for Visual Simultaneous Localisation and Mapping with Output Equivariance Pieter van Goor, Robert Mahony, Tarek Hamel, Jochen Trumpf http://arxiv.org/abs/2005.14347v1 • [cs.RO]DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra http://arxiv.org/abs/2005.14679v1 • [cs.RO]Data-Driven Convergence Prediction of Astrobots Swarms Matin Macktoobian, Francesco Basciani, Denis Gillet, Jean-Paul Kneib http://arxiv.org/abs/2005.14703v1 • [cs.RO]Hibikino-Musashi@Home 2020 Team Description Paper Tomohiro Ono, Yuichiro Tanaka, Yutaro Ishida, Yushi Abe, Kazuki Kanamaru, Daichi Kamimura, Kentaro Nakamura, Yuta Nishimura, Shoshi Tokuno, Yuya Mii, Morio Yamauchi, Yuichiro Uemura, Takunori Hashimoto, Yugo Nakamura, Issei Uchino, Daiju Kanaoka, Takeru Hanyu, Kenta Tsukamoto, Takashi Morie, Hakaru Tamukoh http://arxiv.org/abs/2005.14451v1 • [cs.RO]Low-Cost Fiducial-based 6-Axis Force-Torque Sensor Rui Ouyang, Robert Howe http://arxiv.org/abs/2005.14250v1 • [cs.RO]MAV Development Towards Navigation in Unknown and Dark Mining Tunnels Dariusz Kominiak, Sina Sharif Mansouri, Christoforos Kanellakis, George Nikolakopoulos http://arxiv.org/abs/2005.14433v1 • [cs.RO]Non-Linearity Measure for POMDP-based Motion Planning Marcus Hoerger, Hanna Kurniawati, Alberto Elfes http://arxiv.org/abs/2005.14406v1 • [cs.RO]Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera Damian Bogunowicz, Aleksandr Rybnikov, Komal Vendidandi, Fedor Chervinskii http://arxiv.org/abs/2005.14401v1 • [cs.RO]Stochastic Modeling of Distance to Collision for Robot Manipulators Nikhil Das, Michael C. Yip http://arxiv.org/abs/2005.14391v1 • [cs.SE]Simplifying Deep-Learning-Based Model for Code Search Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li http://arxiv.org/abs/2005.14373v1 • [cs.SI]A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification Christoph Martin, Meike Riebeling http://arxiv.org/abs/2005.14683v1 • [cs.SI]A rank-3 network representation for single-affiliation systems Alexander O. Hultin, James A. Gopsill, Nigel Johnston, Linda B. Newnes http://arxiv.org/abs/2005.14692v1 • [cs.SI]Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li http://arxiv.org/abs/2005.14464v1 • [cs.SI]Fairness-Aware Link Analysis Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Panayiotis Tsaparas, Ilias Kleftakis, Nikos Mamoulis http://arxiv.org/abs/2005.14431v1 • [cs.SI]Unsupervised Anomaly Detection in Journal-Level Citation Networks Baani Leen Kaur Jolly, Lavina Jain, Debajyoti Bera, Tanmoy Chakraborty http://arxiv.org/abs/2005.14343v1 • [econ.EM]Machine learning time series regressions with an application to nowcasting Andrii Babii, Eric Ghysels, Jonas Striaukas http://arxiv.org/abs/2005.14057v2 • [eess.AS]Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization Benjamin Milde, Chris Biemann http://arxiv.org/abs/2005.14578v1 • [eess.AS]On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition Jinyu Li, Yu Wu, Yashesh Gaur, Chengyi Wang, Rui Zhao, Shujie Liu http://arxiv.org/abs/2005.14327v1 • [eess.AS]SNR-based teachers-student technique for speech enhancement Xiang Hao, Xiangdong Su, Zhiyu Wang, Qiang Zhang, Huali Xu, Guanglai Gao http://arxiv.org/abs/2005.14441v1 • [eess.AS]Sub-band Knowledge Distillation Framework for Speech Enhancement Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li http://arxiv.org/abs/2005.14435v1 • [eess.IV]A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection Rongfang Wang, Fan Ding, Licheng Jiao, Jia-Wei Chen, Bo Liu, Wenping Ma, Mi Wang http://arxiv.org/abs/2005.14376v1 • [eess.IV]Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael To, Zhen Qian, Demetri Terzopoulos http://arxiv.org/abs/2005.14330v1 • [eess.IV]Enhancing Foreground Boundaries for Medical Image Segmentation Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu http://arxiv.org/abs/2005.14355v1 • [eess.IV]Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot http://arxiv.org/abs/2005.14400v1 • [eess.IV]Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel http://arxiv.org/abs/2005.14695v1 • [eess.IV]Uncertainty Evaluation Metric for Brain Tumour Segmentation Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel http://arxiv.org/abs/2005.14262v1 • [eess.SP]Intelligent Residential Energy Management System using Deep Reinforcement Learning Alwyn Mathew, Abhijit Roy, Jimson Mathew http://arxiv.org/abs/2005.14259v1 • [math.OC]Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks Simge Kucukyavuz, Ali Shojaie, Hasan Manzour, Linhchuan Wei http://arxiv.org/abs/2005.14346v1 • [math.OC]Online DR-Submodular Maximization with Stochastic Cumulative Constraints Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel http://arxiv.org/abs/2005.14708v1 • [math.ST]Doubly robust estimation of average treatment effect revisited Keli Guo, Chuyun Ye, Jun Fan, Lixing Zhu http://arxiv.org/abs/2005.14508v1 • [math.ST]Malliavin calculus techniques for local asymptotic mixed normality and their application to degenerate diffusions Fukasawa Masaaki, Teppei Ogihara http://arxiv.org/abs/2005.14599v1 • [physics.comp-ph]Machine Learning for Condensed Matter Physics Edwin A. Bedolla-Montiel, Luis Carlos Padierna, Ramón Castañeda-Priego http://arxiv.org/abs/2005.14228v1 • [physics.soc-ph]A Current-Flow Centrality With Adjustable Reach Aleks J. Gurfinkel, Per Arne Rikvold http://arxiv.org/abs/2005.14356v1 • [physics.soc-ph]Network-based ranking in social systems: three challenges Manuel S. Mariani, Linyuan Lü http://arxiv.org/abs/2005.14564v1 • [physics.soc-ph]Recurrence in the evolution of air transport networks Kashin Sugishita, Naoki Masuda http://arxiv.org/abs/2005.14392v1 • [q-bio.NC]Extracting low-dimensional psychological representations from convolutional neural networks Aditi Jha, Thomas L. Griffiths http://arxiv.org/abs/2005.14363v1 • [q-bio.QM]Trajectory Clustering in Multi-layer Networks: Identifying Parkinson’s Subtypes Sanjukta Krishnagopal http://arxiv.org/abs/2005.14472v1 • [q-fin.GN]Egalitarian and Just Digital Currency Networks Gal Shahaf, Ehud Shapiro, Nimrod Talmon http://arxiv.org/abs/2005.14631v1 • [q-fin.PR]Pricing Energy Contracts under Regime Switching Time-Changed models Konrad Gajewski, Sebastian Ferrando, Pablo Olivares http://arxiv.org/abs/2005.14361v1 • [stat.AP]A Causal Machine Learning Framework for Predicting Preventable Hospital Readmissions Ben J. Marafino, Alejandro Schuler, Vincent X. Liu, Gabriel J. Escobar, Mike Baiocchi http://arxiv.org/abs/2005.14409v1 • [stat.AP]Accounting for location uncertainty in distance sampling data Trevor J. Hefley, W. Alice Boyle, Narmadha M. Mohankumar http://arxiv.org/abs/2005.14316v1 • [stat.AP]Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen http://arxiv.org/abs/2005.14263v1 • [stat.AP]Implementation of Tripartite Estimands Using Adherence Causal Estimators Under the Causal Inference Framework Yongming Qu, Junxiang Luo, Stephen J. Ruberg http://arxiv.org/abs/2005.14624v1 • [stat.AP]Model selection for ecological community data using tree shrinkage priors Trevor Hefley http://arxiv.org/abs/2005.14303v1 • [stat.ME]A Robust Bayesian Approach to Function Registration in $\mathbb{R}^1$ J. Derek Tucker, Lyndsay Shand, Kenny Chowdhary http://arxiv.org/abs/2005.14372v1 • [stat.ME]Estimation of Semi-Markov Multi-state Models: A Comparison of the Sojourn Times and Transition Intensities Approaches Azam Asanjarani, Benoit Liquet, Yoni Nazarathy http://arxiv.org/abs/2005.14462v1 • [stat.ME]Multiresolution Decomposition of Areal Count Data Roman Flury, Reinhard Furrer http://arxiv.org/abs/2005.14473v1 • [stat.ME]Ridge TRACE Diagnostics Bob Obenchain http://arxiv.org/abs/2005.14291v1 • [stat.ME]Statistical applications of Random matrix theory: comparison of two populations III Rémy Mariétan, Stephan Morgenthaler http://arxiv.org/abs/2005.14524v1 • [stat.ME]Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis Ao Huang, Sho Komukai, Tim Friede, Satoshi Hattori http://arxiv.org/abs/2005.14396v1 • [stat.ML]CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing Oleksandr Borysenko, Maksym Byshkin http://arxiv.org/abs/2005.14605v1 • [stat.ML]Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression Domagoj Ćevid, Loris Michel, Nicolai Meinshausen, Peter Bühlmann http://arxiv.org/abs/2005.14458v1 • [stat.ML]The energy distance for ensemble and scenario reduction Florian Ziel http://arxiv.org/abs/2005.14670v1