今日学术视野(2020.6.4)

astro-ph.HE - 高能天体物理现象

astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 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.DS - 数据结构与算法 cs.ET - 新兴技术 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.MA - 多代理系统 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.SC - 符号计算 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.CT - 范畴论 math.LO - 逻辑演算 math.OC - 优化与控制 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.GN - 通用财务 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [astro-ph.HE]Detection of gravitational-wave signals from binary neutron star mergers using machine learning • [astro-ph.IM]Learning to do multiframe blind deconvolution unsupervisedly • [cond-mat.stat-mech]Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimation • [cs.AI]Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization • [cs.AI]Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation • [cs.AI]Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions • [cs.AI]Relational Learning Analysis of Social Politics using Knowledge Graph Embedding • [cs.AI]Revisiting Bounded-Suboptimal Safe Interval Path Planning • [cs.AI]SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers • [cs.CC]Walking through Doors is Hard, even without Staircases: Proving PSPACE-hardness via Planar Assemblies of Door Gadgets • [cs.CL]A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking • [cs.CL]A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension • [cs.CL]A Survey of Neural Networks and Formal Languages • [cs.CL]A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss • [cs.CL]An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features • [cs.CL]An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results • [cs.CL]An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events • [cs.CL]Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer • [cs.CL]BERT Based Multilingual Machine Comprehension in English and Hindi • [cs.CL]BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text • [cs.CL]Context-based Transformer Models for Answer Sentence Selection • [cs.CL]DiscSense: Automated Semantic Analysis of Discourse Markers • [cs.CL]Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition • [cs.CL]Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data • [cs.CL]Exploring Cross-sentence Contexts for Named Entity Recognition with BERT • [cs.CL]Hybrid Improved Document-level Embedding (HIDE) • [cs.CL]Lexical Normalization for Code-switched Data and its Effect on POS-tagging • [cs.CL]Situated and Interactive Multimodal Conversations • [cs.CL]Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis • [cs.CL]WikiBERT models: deep transfer learning for many languages • [cs.CV]A Multi-Task Comparator Framework for Kinship Verification • [cs.CV]A Novel Nudity Detection Algorithm for Web and Mobile Application Development • [cs.CV]A heterogeneous branch and multi-level classification network for person re-identification • [cs.CV]An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture • [cs.CV]BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach • [cs.CV]Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification • [cs.CV]CNNs on Surfaces using Rotation-Equivariant Features • [cs.CV]Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution • [cs.CV]Distribution Aligned Multimodal and Multi-Domain Image Stylization • [cs.CV]Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs • [cs.CV]Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge • [cs.CV]High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow • [cs.CV]Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining • [cs.CV]Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields • [cs.CV]Is Depth Really Necessary for Salient Object Detection? • [cs.CV]Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods • [cs.CV]Multi-view Deep Features for Robust Facial Kinship Verification • [cs.CV]Recapture as You Want • [cs.CV]Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses • [cs.CV]SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors • [cs.CV]Studying The Effect of MIL Pooling Filters on MIL Tasks • [cs.CV]Transfoming Multi-Concept Attention into Video Summarization • [cs.CV]Two-hand Global 3D Pose Estimation Using Monocular RGB • [cs.CY]Application of Blockchain and Internet of Things to Ensure Tamper-Proof Data Availability for Food Safety • [cs.CY]D-ACC: Dynamic Adaptive Cruise Control for Highways with On-Ramps Based on Deep Q-Learning • [cs.CY]How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations • [cs.CY]Psychiatric Home Treatment for Inpatient Care — Design, Implementation and Participation • [cs.CY]Saber Pro success prediction model using decision tree based learning • [cs.CY]What’s Sex Got To Do With Machine Learning • [cs.DB]NEMA: Automatic Integration of Large Network Management Databases • [cs.DB]SSumM: Sparse Summarization of Massive Graphs • [cs.DB]Scalable Top-k Query on Information Networks with Hierarchical Inheritance Relations • [cs.DC]A Novel Approach to Solve K-Center Problems with Geographical Placement • [cs.DC]A Smart Background Scheduler for Storage Systems • [cs.DC]Flex: Closing the Gaps between Usage and Allocation • [cs.DC]Introducing temporal behavior to computing science • [cs.DC]Self-stabilizing Algorithm for Minimal $α$-Dominating Set • [cs.DC]Serverless End Game: Disaggregation enabling Transparency • [cs.DC]SiEVE: Semantically Encoded Video Analytics on Edge and Cloud • [cs.DC]Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine • [cs.DS]Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions • [cs.ET]SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures • [cs.GR]Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction • [cs.HC]Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019 • [cs.HC]Learning Efficient Representations of Mouse Movements to Predict User Attention • [cs.IR]Question Answering on Scholarly Knowledge Graphs • [cs.IT]A Comparison of Empirical Tree Entropies • [cs.IT]Age-Based Coded Computation for Bias Reduction in Distributed Learning • [cs.IT]Compressive Subspace Learning with Antenna Cross-correlations for Wideband Spectrum Sensing • [cs.IT]Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability • [cs.IT]Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification • [cs.IT]Non-Adaptive Group Testing in the Linear Regime: Strong Converse and Approximate Recovery • [cs.IT]Rate-Splitting Multiple Access: A New Frontier for the PHY Layer of 6G • [cs.IT]Two-Timescale Optimization for Intelligent Reflecting Surface Aided D2D Underlay Communication • [cs.LG]A Randomized Algorithm to Reduce the Support of Discrete Measures • [cs.LG]Acceleration of Descent-based Optimization Algorithms via Carathéodory’s Theorem • [cs.LG]An Informal Introduction to Multiplet Neural Networks • [cs.LG]Channel Distillation: Channel-Wise Attention for Knowledge Distillation • [cs.LG]Cross-Domain Imitation Learning with a Dual Structure • [cs.LG]Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging • [cs.LG]Deep Context-Aware Novelty Detection • [cs.LG]DeepCoDA: personalized interpretability for compositional health • [cs.LG]Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration • [cs.LG]Estimating Principal Components under Adversarial Perturbations • [cs.LG]Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense • [cs.LG]Factorial Powers for Stochastic Optimization • [cs.LG]From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models • [cs.LG]Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19 • [cs.LG]Inductive Geometric Matrix Midranges • [cs.LG]Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations • [cs.LG]Learning optimal environments using projected stochastic gradient ascent • [cs.LG]Light-in-the-loop: using a photonics co-processor for scalable training of neural networks • [cs.LG]Modelling of daily reference evapotranspiration using deep neural network in different climates • [cs.LG]Multi-Agent Determinantal Q-Learning • [cs.LG]Multi-Stage Transfer Learning with an Application to Selection Process • [cs.LG]Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators • [cs.LG]Neural Control Variates • [cs.LG]Neural Power Units • [cs.LG]Perturbation Analysis of Gradient-based Adversarial Attacks • [cs.LG]Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods • [cs.LG]SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization • [cs.LG]Sampling Techniques in Bayesian Target Encoding • [cs.LG]Shapley Value as Principled Metric for Structured Network Pruning • [cs.LG]Shapley-based explainability on the data manifold • [cs.LG]Streaming Coresets for Symmetric Tensor Factorization • [cs.LG]Surprisal-Triggered Conditional Computation with Neural Networks • [cs.LG]TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding • [cs.LG]Temporally-Extended ε-Greedy Exploration • [cs.LG]Theory and Algorithms for Shapelet-based Multiple-Instance Learning • [cs.LG]Toward Optimal Probabilistic Active Learning Using a Bayesian Approach • [cs.LG]Transferring Inductive Biases through Knowledge Distillation • [cs.LG]Variational Bayesian Inference for Crowdsourcing Predictions • [cs.LG]Variational Inference and Learning of Piecewise-linear Dynamical Systems • [cs.MA]Coordinating Multiagent Industrial Symbiosis • [cs.NE]A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems • [cs.NE]Deep Learning in Target Space • [cs.NI]Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement • [cs.NI]Information Freshness and Packet Drop Rate Interplay in a Two-User Multi-Access Channel • [cs.RO]Backstepping Control of Muscle Driven Systems with Redundancy Resolution • [cs.RO]Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots • [cs.RO]Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling • [cs.RO]Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision • [cs.RO]Workspace monitoring and planning for safe mobile manipulation • [cs.SC]Good pivots for small sparse matrices • [cs.SE]Analyzing programming languages by community characteristics on Github and StackOverflow • [cs.SE]Monitoring Data Distribution and Exploitation in a Global-Scale Microservice Artefact Observatory • [cs.SI]Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions • [cs.SI]Identifying Fake Profiles in LinkedIn • [cs.SI]Learning Opinion Dynamics From Social Traces • [cs.SI]Tracking Public Opinion in China through Various Stages of the COVID-19 Pandemic • [econ.EM]Estimates of derivatives of (log) densities and related objects • [econ.EM]New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence • [econ.EM]New robust inference for predictive regressions • [eess.AS]Neural Speaker Diarization with Speaker-Wise Chain Rule • [eess.IV]A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction • [eess.IV]A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial • [eess.IV]Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging • [eess.IV]BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients • [eess.IV]COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images • [eess.IV]CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification • [eess.IV]Fast and accurate aberration estimation from 3D bead images using convolutional neural networks • [eess.IV]Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks • [eess.SP]AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors • [eess.SP]Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind • [eess.SP]Federated Learning for Vehicular Networks • [eess.SP]Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising • [eess.SP]Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation • [eess.SP]RNNs on Monitoring Physical Activity Energy Expenditure in Older People • [eess.SP]RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks • [eess.SY]Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions • [math.CT]Bayesian Updates Compose Optically • [math.LO]Automatized Evaluation of Formalization Exercises in Mathematics • [math.OC]A modification of quasi-Newton’s methods helping to avoid saddle points • [math.OC]Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography • [math.OC]Online Stochastic Convex Optimization: Wasserstein Distance Variation • [math.OC]Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False • [physics.chem-ph]Committee neural network potentials control generalization errors and enable active learning • [physics.comp-ph]Identification of hydrodynamic instability by convolutional neural networks • [physics.comp-ph]Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties • [physics.geo-ph]Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence • [physics.soc-ph]Decomposing Excess Commuting: A Monte Carlo Simulation Approach • [physics.soc-ph]Networks beyond pairwise interactions: structure and dynamics • [physics.soc-ph]Statistical physics of social networking • [q-bio.PE]Stochastic Modeling of an Infectious Disease, Part I: Understand the Negative Binomial Distribution and Predict an Epidemic More Reliably • [q-bio.QM]A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks • [q-bio.QM]Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models • [q-fin.GN]Egalitarian and Just Digital Currency Networks • [stat.AP]Comparing and Integrating US COVID-19 Daily Data from Multiple Sources: A County-Level Dataset with Local Characteristics • [stat.AP]Epileptic seizure prediction using Pearson’s product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling • [stat.AP]Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data • [stat.AP]Two-Phase Data Synthesis for Income: An Application to the NHIS • [stat.ME]$l1$-ball Prior: Uncertainty Quantification with Exact Zeros • [stat.ME]Assessing Non-Stationary Heatwave Hazard with Magnitude-Dependent Spatial Extremal Dependence • [stat.ME]Conformal prediction intervals for the individual treatment effect • [stat.ME]Cox regression analysis for distorted covariates with an unknown distortion function • [stat.ME]Feature-weighted elastic net: using “features of features” for better prediction • [stat.ME]Hyperparameter Selection for Subsampling Bootstraps • [stat.ME]Identification Risk Evaluation of Continuous Synthesized Variables • [stat.ME]Non-parametric causal effects based on longitudinal modified treatment policies • [stat.ME]Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy • [stat.ME]Robust multivariate methods in Chemometrics • [stat.ME]Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models • [stat.ME]The role of exchangeability in causal inference • [stat.ME]Two Robust Tools for Inference about Causal Effects with Invalid Instruments • [stat.ML]A combinatorial conjecture from PAC-Bayesian machine learning • [stat.ML]A generalized linear joint trained framework for semi-supervised leaning of sparse features • [stat.ML]A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables • [stat.ML]Bayesian Neural Networks • [stat.ML]Careful analysis of XRD patterns with Attention • [stat.ML]Improved scalability under heavy tails, without strong convexity • [stat.ML]Meta Learning as Bayes Risk Minimization • [stat.ML]Non-asymptotic Analysis in Kernel Ridge Regression • [stat.ML]Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model • [stat.ML]Sparse Cholesky covariance parametrization for recovering latent structure in ordered data • [stat.ML]Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization • [stat.ML]Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs ····································· • [astro-ph.HE]Detection of gravitational-wave signals from binary neutron star mergers using machine learning _Marlin B. Schäfer, Frank Ohme, Alexander H. Nitz http://arxiv.org/abs/2006.01509v1 • [astro-ph.IM]Learning to do multiframe blind deconvolution unsupervisedly A. Asensio Ramos http://arxiv.org/abs/2006.01438v1 • [cond-mat.stat-mech]Interacting particle solutions of Fokker-Planck equations through gradient-log-density estimation Dimitra Maoutsa, Sebastian Reich, Manfred Opper http://arxiv.org/abs/2006.00702v1 • [cs.AI]Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Andre Cire http://arxiv.org/abs/2006.01610v1 • [cs.AI]Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation Kai Sauerwald, Jonas Haldimann, Martin von Berg, Christoph Beierle http://arxiv.org/abs/2006.01444v1 • [cs.AI]Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions Emmanouil Rigas, Panayiotis Kolios, Georgios Ellinas http://arxiv.org/abs/2006.01473v1 • [cs.AI]Relational Learning Analysis of Social Politics using Knowledge Graph Embedding Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham http://arxiv.org/abs/2006.01626v1 • [cs.AI]Revisiting Bounded-Suboptimal Safe Interval Path Planning Konstantin Yakovlev, Anton Andreychuk, Roni Stern http://arxiv.org/abs/2006.01195v1 • [cs.AI]SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers Gilles Audemard, Loïc Paulevé, Laurent Simon http://arxiv.org/abs/2006.01503v1 • [cs.CC]Walking through Doors is Hard, even without Staircases: Proving PSPACE-hardness via Planar Assemblies of Door Gadgets Joshua Ani, Jeffrey Bosboom, Erik D. Demaine, Yevhenii Diomidov, Dylan Hendrickson, Jayson Lynch http://arxiv.org/abs/2006.01256v1 • [cs.CL]A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou http://arxiv.org/abs/2006.01554v1 • [cs.CL]A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu http://arxiv.org/abs/2006.01346v1 • [cs.CL]A Survey of Neural Networks and Formal Languages Joshua Ackerman, George Cybenko http://arxiv.org/abs/2006.01338v1 • [cs.CL]A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss Hou Pong Chan, Wang Chen, Irwin King http://arxiv.org/abs/2006.01592v1 • [cs.CL]An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features Shi-Yan Weng, Tien-Hong Lo, Berlin Chen http://arxiv.org/abs/2006.01189v1 • [cs.CL]An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results Enrique Amigó, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz http://arxiv.org/abs/2006.01245v1 • [cs.CL]An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events M. Janina Sarol, Ly Dinh, Rezvaneh Rezapour, Chieh-Li Chin, Pingjing Yang, Jana Diesner http://arxiv.org/abs/2006.01439v1 • [cs.CL]Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer Yuan Shangguan, Kate Knister, Yanzhang He, Ian McGraw, Francoise Beaufays http://arxiv.org/abs/2006.01416v1 • [cs.CL]BERT Based Multilingual Machine Comprehension in English and Hindi Somil Gupta, Nilesh Khade http://arxiv.org/abs/2006.01432v1 • [cs.CL]BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text Tanvi Dadu, Kartikey Pant, Radhika Mamidi http://arxiv.org/abs/2006.01222v1 • [cs.CL]Context-based Transformer Models for Answer Sentence Selection Ivano Lauriola, Alessandro Moschitti http://arxiv.org/abs/2006.01285v1 • [cs.CL]DiscSense: Automated Semantic Analysis of Discourse Markers Damien Sileo, Tim Van de Cruys, Camille Pradel, Philippe Muller http://arxiv.org/abs/2006.01603v1 • [cs.CL]Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui http://arxiv.org/abs/2006.01372v1 • [cs.CL]Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data Xinyu Wang, Yong Jiang, Kewei Tu http://arxiv.org/abs/2006.01414v1 • [cs.CL]Exploring Cross-sentence Contexts for Named Entity Recognition with BERT Jouni Luoma, Sampo Pyysalo http://arxiv.org/abs/2006.01563v1 • [cs.CL]Hybrid Improved Document-level Embedding (HIDE) Satanik Mitra, Mamata Jenamani http://arxiv.org/abs/2006.01203v1 • [cs.CL]Lexical Normalization for Code-switched Data and its Effect on POS-tagging Rob van der Goot, Özlem Çetinoğlu http://arxiv.org/abs/2006.01175v1 • [cs.CL]Situated and Interactive Multimodal Conversations Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard http://arxiv.org/abs/2006.01460v1 • [cs.CL]Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis Alireza Saleh Sedghpour, Mohammad Reza Saleh Sedghpour http://arxiv.org/abs/2006.01715v1 • [cs.CL]WikiBERT models: deep transfer learning for many languages Sampo Pyysalo, Jenna Kanerva, Antti Virtanen, Filip Ginter http://arxiv.org/abs/2006.01538v1 • [cs.CV]A Multi-Task Comparator Framework for Kinship Verification Stefan Hörmann, Martin Knoche, Gerhard Rigoll http://arxiv.org/abs/2006.01615v1 • [cs.CV]A Novel Nudity Detection Algorithm for Web and Mobile Application Development Rahat Yeasin Emon http://arxiv.org/abs/2006.01780v1 • [cs.CV]A heterogeneous branch and multi-level classification network for person re-identification Jiabao Wang, Yang f9b Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang http://arxiv.org/abs/2006.01367v1 • [cs.CV]An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani http://arxiv.org/abs/2006.01228v1 • [cs.CV]BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu http://arxiv.org/abs/2006.01232v1 • [cs.CV]Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification Hanrong Ye, Hong Liu, Fanyang Meng, Xia Li http://arxiv.org/abs/2006.00878v2 • [cs.CV]CNNs on Surfaces using Rotation-Equivariant Features Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt http://arxiv.org/abs/2006.01570v1 • [cs.CV]Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdng Li, Ruigang Yang http://arxiv.org/abs/2006.01469v1 • [cs.CV]Distribution Aligned Multimodal and Multi-Domain Image Stylization Minxuan Lin, Fan Tang, Weiming Dong, Xiao Li, Chongyang Ma, Changsheng Xu http://arxiv.org/abs/2006.01431v1 • [cs.CV]Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs Daniel T. Chang http://arxiv.org/abs/2006.01785v1 • [cs.CV]Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge Peng Wang, Dongyang Liu, Hui Li, Qi Wu http://arxiv.org/abs/2006.01629v1 • [cs.CV]High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow Mingyuan Meng, Shaojun Liu http://arxiv.org/abs/2006.01201v1 • [cs.CV]Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Humphrey Shi http://arxiv.org/abs/2006.01424v1 • [cs.CV]Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields Genta Kobayashi, Hayaru Shouno http://arxiv.org/abs/2006.01645v1 • [cs.CV]Is Depth Really Necessary for Salient Object Detection? Jiawei Zhao, Yifan Zhao, Jia Li, Xiaowu Chen http://arxiv.org/abs/2006.00269v2 • [cs.CV]Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods Yucheng Chen, Yingli Tian, Mingyi He http://arxiv.org/abs/2006.01423v1 • [cs.CV]Multi-view Deep Features for Robust Facial Kinship Verification Oualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid http://arxiv.org/abs/2006.01315v1 • [cs.CV]Recapture as You Want Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li http://arxiv.org/abs/2006.01435v1 • [cs.CV]Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses Trong Huy Phan, Kazuma Yamamoto http://arxiv.org/abs/2006.01413v1 • [cs.CV]SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors Shasha Guo, Lei Wang, Xiaofan Chen, Limeng Zhang, Ziyang Kang, Weixia Xu http://arxiv.org/abs/2006.01687v1 • [cs.CV]Studying The Effect of MIL Pooling Filters on MIL Tasks Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung http://arxiv.org/abs/2006.01561v1 • [cs.CV]Transfoming Multi-Concept Attention into Video Summarization Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang http://arxiv.org/abs/2006.01410v1 • [cs.CV]Two-hand Global 3D Pose Estimation Using Monocular RGB Fanqing Lin, Connor Wilhelm, Tony Martinez http://arxiv.org/abs/2006.01320v1 • [cs.CY]Application of Blockchain and Internet of Things to Ensure Tamper-Proof Data Availability for Food Safety Adnan Iftekhar, Xiaohui Cui, Mir Hassan, Wasif Afzal http://arxiv.org/abs/2006.01307v1 • [cs.CY]D-ACC: Dynamic Adaptive Cruise Control for Highways with On-Ramps Based on Deep Q-Learning Lokesh Das, Myounggyu Won http://arxiv.org/abs/2006.01411v1 • [cs.CY]How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer http://arxiv.org/abs/2006.01447v1 • [cs.CY]Psychiatric Home Treatment for Inpatient Care — Design, Implementation and Participation Stefan Hochwarter, Pierre Tangermann, Martin Heinze, Julian Schwarz http://arxiv.org/abs/2006.01523v1 • [cs.CY]Saber Pro success prediction model using decision tree based learning Gregorio Perez Bernal, Luisa Toro Villegas, Mauricio Toro http://arxiv.org/abs/2006.01322v1 • [cs.CY]What’s Sex Got To Do With Machine Learning Lily Hu 6eaf, Issa Kohler-Hausmann http://arxiv.org/abs/2006.01770v1 • [cs.DB]NEMA: Automatic Integration of Large Network Management Databases Fubao Wu, Han Hee Song, Jiangtao Yin, Lixin Gao, Mario Baldi, Narendra Anand http://arxiv.org/abs/2006.01294v1 • [cs.DB]SSumM: Sparse Summarization of Massive Graphs Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin http://arxiv.org/abs/2006.01060v2 • [cs.DB]Scalable Top-k Query on Information Networks with Hierarchical Inheritance Relations Fubao Wu, Lixin Gao http://arxiv.org/abs/2006.01279v1 • [cs.DC]A Novel Approach to Solve K-Center Problems with Geographical Placement Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose http://arxiv.org/abs/2006.01598v1 • [cs.DC]A Smart Background Scheduler for Storage Systems Maher Kachmar, David Kaeli http://arxiv.org/abs/2006.01402v1 • [cs.DC]Flex: Closing the Gaps between Usage and Allocation Tan N. Le, Zhenhua Liu http://arxiv.org/abs/2006.01354v1 • [cs.DC]Introducing temporal behavior to computing science János Végh http://arxiv.org/abs/2006.01128v1 • [cs.DC]Self-stabilizing Algorithm for Minimal $α$-Dominating Set Badreddine Benreguia, Hamouma Moumen http://arxiv.org/abs/2006.01311v1 • [cs.DC]Serverless End Game: Disaggregation enabling Transparency Pedro García-López, Aleksander Slominski, Simon Shillaker, Michael Behrendt, Barnard Metzler http://arxiv.org/abs/2006.01251v1 • [cs.DC]SiEVE: Semantically Encoded Video Analytics on Edge and Cloud Tarek Elgamal, Shu Shi, Varun Gupta, Rittwik Jana, Klara Nahrstedt http://arxiv.org/abs/2006.01318v1 • [cs.DC]Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees Vissers, Vivek Sarkar http://arxiv.org/abs/2006.01331v1 • [cs.DS]Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions Kaito Fujii http://arxiv.org/abs/2006.01400v1 • [cs.ET]SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures Brendan Reidy, Ramtin Zand http://arxiv.org/abs/2006.01238v1 • [cs.GR]Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction Steven L. Song, Weiqi Shi, Michael Reed http://arxiv.org/abs/2006.01746v1 • [cs.HC]Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019 Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati http://arxiv.org/abs/2006.01310v1 • [cs.HC]Learning Efficient Representations of Mouse Movements to Predict User Attention Ioannis Arapakis, Luis A. Leiva http://arxiv.org/abs/2006.01644v1 • [cs.IR]Question Answering on Scholarly Knowledge Graphs Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer http://arxiv.org/abs/2006.01527v1 • [cs.IT]A Comparison of Empirical Tree Entropies Danny Hucke, Markus Lohrey, Louisa Seelbach Benkner http://arxiv.org/abs/2006.01695v1 • [cs.IT]Age-Based Coded Computation for Bias Reduction in Distributed Learning Emre Ozfatura, Baturalp Buyukates, Deniz Gunduz, Sennur Ulukus http://arxiv.org/abs/2006.01816v1 • [cs.IT]Compressive Subspace Learning with Antenna Cross-correlations for Wideband Spectrum Sensing Tierui Gong, Zhijia Yang, Meng Zheng, Zhifeng Liu, Gengshan Wang http://arxiv.org/abs/2006.01709v1 • [cs.IT]Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability Xinyi Jiang, Xiaoyu Liu, Riqing Chen, Yuntian Wang, Feng Shu, Jiangzhou Wang http://arxiv.org/abs/2006.01479v1 • [cs.IT]Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification Samrat Mukhopadhyay, Mrityunjoy Chakraborty http://arxiv.org/abs/2006.01436v1 • [cs.IT]Non-Adaptive Group Testing in the Linear Regime: Strong Converse and Approximate Recovery Bay Wei Heng, Jonathan Scarlett http://arxiv.org/abs/2006.01325v1 • [cs.IT]Rate-Splitting Multiple Access: A New Frontier for the PHY Layer of 6G Onur Dizdar, Yijie Mao, Wei Han, Bruno Clerckx http://arxiv.org/abs/2006.01437v1 • [cs.IT]Two-Timescale Optimization for Intelligent Reflecting Surface Aided D2D Underlay Communication Chang Cai, Huiyuan Yang, Xiaojun Yuan, Ying-Chang Liang http://arxiv.org/abs/2006.01604v1 • [cs.LG]A Randomized Algorithm to Reduce the Support of Discrete Measures Francesco Cosentino, Harald Oberhauser, Alessandro Abate http://arxiv.org/abs/2006.01757v1 • [cs.LG]Acceleration of Descent-based Optimization Algorithms via Carathéodory’s Theorem Francesco Cosentino, Harald Oberhauser, Alessandro Abate http://arxiv.org/abs/2006.01819v1 • [cs.LG]An Informal Introduction to Multiplet Neural Networks Nathan E. Frick http://arxiv.org/abs/2006.01606v1 • [cs.LG]Channel Distillation: Channel-Wise Attention for Knowledge Distillation Zaida Zhou, Chaoran Zhuge, Xinwei Guan, Wen Liu http://arxiv.org/abs/2006.01683v1 • [cs.LG]Cross-Domain Imitation Learning with a Dual Structure Sungho Choi, Seungyul Han, Woojun Kim, Youngchul Sung http://arxiv.org/abs/2006.01494v1 • [cs.LG]Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging David H. Silver, Martin Feder, Yael Gold-Zamir, Avital L. Polsky, Shahar Rosentraub, Efrat Shachor, Adi Weinberger, Pavlo Mazur, Valery D. Zukin, Alex M. Bronstein http://arxiv.org/abs/2006.01035v2 • [cs.LG]Deep Context-Aware Novelty Detection Ellen Rushe, Brian Mac Namee http://arxiv.org/abs/2006.01168v1 • [cs.LG]DeepCoDA: personalized interpretability for compositional health Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh http://arxiv.org/abs/2006.01392v1 • [cs.LG]Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han, Youngchul Sung http://arxiv.org/abs/2006.01419v1 • [cs.LG]Estimating Principal Components under Adversarial Perturbations Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan http://arxiv.org/abs/2006.00602v2 • [cs.LG]Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan http://arxiv.org/abs/2006.01408v1 • [cs.LG]Factorial Powers for Stochastic Optimization Aaron Defazio, Robert M. Gower http://arxiv.org/abs/2006.01244v1 • [cs.LG]From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause http://arxiv.org/abs/2006.01293v1 • [cs.LG]Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19 Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Mittal Sudip, Anupam Joshi, Tülay Adalı http://arxiv.org/abs/2006.01284v1 • [cs.LG]Inductive Geometric Matrix Midranges Graham W. Van Goffrier, Cyrus Mostajeran, Rodolphe Sepulchre http://arxiv.org/abs/2006.01508v1 • [cs.LG]Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O’Reilly, Georgiana Ifrim http://arxiv.org/abs/2006.01667v1 • [cs.LG]Learning optimal environments using projected stochastic gradient ascent Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst http://arxiv.org/abs/2006.01738v1 • [cs.LG]Light-in-the-loop: using a photonics co-processor for scalable training of neural networks Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan http://arxiv.org/abs/2006.01475v1 • [cs.LG]Modelling of daily reference evapotranspiration using deep neural network in different climates Atilla Özgür, Sevim Seda Yamaç http://arxiv.org/abs/2006.01760v1 • [cs.LG]Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Lihuan Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang http://arxiv.org/abs/2006.01482v1 • [cs.LG]Multi-Stage Transfer Learning with an Application to Selection Process Andre Mendes, Julian Togelius, Leandro dos Santos Coelho http://arxiv.org/abs/2006.01276v1 • [cs.LG]Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators Chepuri Shri Krishna, Ashish Gupta, Himanshu Rai, Swarnim Narayan http://arxiv.org/abs/2006.00939v2 • [cs.LG]Neural Control Variates Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller http://arxiv.org/abs/2006.01524v1 • [cs.LG]Neural Power Units Niklas Heim, Tomáš Pevný, Václav Šmídl http://arxiv.org/abs/2006.01681v1 • [cs.LG]Perturbation Analysis of Gradient-based Adversarial Attacks Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem http://arxiv.org/abs/2006.01456v1 • [cs.LG]Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee, Anantha P. Chandrakasan http://arxiv.org/abs/2006.01304v1 • [cs.LG]SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae http://arxiv.org/abs/2006.01791v1 • [cs.LG]Sampling Techniques in Bayesian Target Encoding Michael Larionov http://arxiv.org/abs/2006.01317v1 • [cs.LG]Shapley Value as Principled Metric for Structured Network Pruning Marco Ancona, Cengiz Öztireli, Markus Gross http://arxiv.org/abs/2006.01795v1 • [cs.LG]Shapley-based explainability on the data manifold Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige http://arxiv.org/abs/2006.01272v1 • [cs.LG]Streaming Coresets for Symmetric Tensor Factorization Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit http://arxiv.org/abs/2006.01225v1 • [cs.LG]Surprisal-Triggered Conditional Computation with Neural Networks Loren Lugosch, Derek Nowrouzezahrai, Brett H. Meyer http://arxiv.org/abs/2006.01659v1 • [cs.LG]TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun http://arxiv.org/abs/2006.01321v1 • [cs.LG]Temporally-Extended ε-Greedy Exploration Will Dabney, Georg Ostrovski, André Barreto http://arxiv.org/abs/2006.01782v1 • [cs.LG]Theory and Algorithms for Shapelet-based Multiple-Instance Learning Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda http://arxiv.org/abs/2006.01130v1 • [cs.LG]Toward Optimal Probabilistic Active Learning Using a Bayesian Approach Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick http://arxiv.org/abs/2006.01732v1 • [cs.LG]Transferring Inductive Biases through Knowledge Distillation Samira Abnar, Mostafa Dehghani, Willem Zuidema http://arxiv.org/abs/2006.00555v2 • [cs.LG]Variational Bayesian Inference for Crowdsourcing Predictions Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter http://arxiv.org/abs/2006.00778v2 • [cs.LG]Variational Inference and Learning of Piecewise-linear Dynamical Systems Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud http://arxiv.org/abs/2006.01668v1 • [cs.MA]Coordinating Multiagent Industrial Symbiosis Vahid Yazdanpanah, Devrim Murat Yazan, W. Henk M. Zijm http://arxiv.org/abs/2006.01784v1 • [cs.NE]A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang http://arxiv.org/abs/2006.01415v1 • [cs.NE]Deep Learning in Target Space Michael Fairbank, Spyridon Samothrakis http://arxiv.org/abs/2006.01578v1 • [cs.NI]Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement Dimitrios Michael Manias, Hassan Hawilo, Manar Jammal, Abdallah Shami http://arxiv.org/abs/2006.01790v1 • [cs.NI]Information Freshness and Packet Drop Rate Interplay in a Two-User Multi-Access Channel Emmanouil Fountoulakis, Themistoklis Charalambous, Nikolaos Nomikos, Nikolaos Pappas http://arxiv.org/abs/2006.01515v1 • [cs.RO]Backstepping Control of Muscle Driven Systems with Redundancy Resolution Humberto De las Casas, Hanz Richter http://arxiv.org/abs/2006.01186v1 • [cs.RO]Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots Corneliu Arsene http://arxiv.org/abs/2006.01286v1 • [cs.RO]Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling Zhongliang Jiang, Long Lei, Yu Sun, Xiaozhi Qi, Ying Hu, Bing Li, Nassir Navab, Jianwei Zhang http://arxiv.org/abs/2006.01650v1 • [cs.RO]Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision Patrick Rosenberger, Akansel Cosgun, Rhys Newbury, Jun Kwan, Valerio Ortenzi, Peter Corke, Manfred Grafinger http://arxiv.org/abs/2006.01797v1 • [cs.RO]Workspace monitoring and planning for safe mobile manipulation Christian Frese, Angelika Zube, Christian Frey http://arxiv.org/abs/2006.01546v1 • [cs.SC]Good pivots for small sparse matrices Manuel Kauers, Jakob Moosbauer http://arxiv.org/abs/2006.01623v1 • [cs.SE]Analyzing programming languages by community characteristics on Github and StackOverflow Samarth Tambad, Rohit Nandwani, Suzanne K. McIntosh http://arxiv.org/abs/2006.01351v1 • [cs.SE]Monitoring Data Distribution and Exploitation in a Global-Scale Microservice Artefact Observatory Panagiotis Gkikopoulos, Josef Spillner, Valerio Schiavoni http://arxiv.org/abs/2006.01514v1 • [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/2005.14464v2 • [cs.SI]Identifying Fake Profiles in LinkedIn Shalinda Adikari, Kaushik Dutta http://arxiv.org/abs/2006.01381v1 • [cs.SI]Learning Opinion Dynamics From Social Traces Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi http://arxiv.org/abs/2006.01673v1 • [cs.SI]Tracking Public Opinion in China through Various Stages of the COVID-19 Pandemic Yuqi Gao, Hang Hua, Jiebo Luo http://arxiv.org/abs/2006.00163v2 • [econ.EM]Estimates of derivatives of (log) densities and related objects Joris Pinkse, Karl Schurter http://arxiv.org/abs/2006.01328v1 • [econ.EM]New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence Rustam Ibragimov, Rasmus Pedersen, Anton Skrobotov http://arxiv.org/abs/2006.01212v1 • [econ.EM]New robust inference for predictive regressions Rustam Ibragimov, Jihyun Kim, Anton Skrobotov http://arxiv.org/abs/2006.01191v1 • [eess.AS]Neural Speaker Diarization with Speaker-Wise Chain Rule Yusuke Fujita, Shinji Watanabe, Shota Horiguchi, Yawen Xue, Jing Shi, Kenji Nagamatsu http://arxiv.org/abs/2006.01796v1 • [eess.IV]A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction Snehal Rajput, Mehul S Raval http://arxiv.org/abs/2006.01632v1 • [eess.IV]A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial Shruti Jadon, Owen P. Leary, Ian Pan, Tyler J. Harder, David W. Wright, Lisa H. Merck, Derek L. Merck http://arxiv.org/abs/2006.01263v1 • [eess.IV]Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging Tianming Du, Honggang Zhang, Hee Kwon Song, Yong Fan http://arxiv.org/abs/2006.01385v1 • [eess.IV]BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco Garcia, Marisa Caparrós, Germán González, Jose María Salinas http://arxiv.org/abs/2006.01174v1 • [eess.IV]COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, M. Rey-Area, D. Charte, E. Guirado, J. L. Suárez, J. Luengo, M. A. Valero-González, P. García-Villanova, E. Olmedo-Sánchez, F. Herrera http://arxiv.org/abs/2006.01409v1 • [eess.IV]CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov, Boris Shirokikh, Anvar Kurmukov, Ivan Blokhin, Valeria Chernina, Alexander Solovev, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev http://arxiv.org/abs/2006.01441v1 • [eess.IV]Fast and accurate aberration estimation from 3D bead images using convolutional neural networks Debayan Saha, Uwe Schmidt, Qinrong Zhang, Aurelien Barbotin, Qi Hu, Na Ji, Martin J. Booth, Martin Weigert, Eugene W. Myers http://arxiv.org/abs/2006.01804v1 • [eess.IV]Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks Xueqing Liu, Paul Sajda http://arxiv.org/abs/2006.01658v1 • [eess.SP]AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors Matthew Z. Wong, Benoit Guillard, Riku Murai, Sajad Saeedi, Paul H. J. Kelly http://arxiv.org/abs/2006.01765v1 • [eess.SP]Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind Yifan Zhang, Jiangbin Lyu, Liqun Fu http://arxiv.org/abs/2006.01371v1 • [eess.SP]Federated Learning for Vehicular Networks Ahmet M. Elbir, S. Coleri http://arxiv.org/abs/2006.01412v1 • [eess.SP]Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising Siheng Chen, Yonina C. Eldar, Lingxiao Zhao http://arxiv.org/abs/2006.01301v1 • [eess.SP]Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation Mattia Lecci, Michele Polese, Chiehping Lai, Jian Wang, Camillo Gentile, Nada Golmie, Michele Zorzi http://arxiv.org/abs/2006.01235v1 • [eess.SP]RNNs on Monitoring Physical Activity Energy Expenditure in Older People Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, Eline P. Slagboom, Marian Beekman, Arno Knobbe http://arxiv.org/abs/2006.01169v1 • [eess.SP]RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks Mahnoor Anjum, Muhammad Abdullah Khan, Syed Ali Hassan, Aamir Mahmood, Hassaan Khaliq Qureshi, Mikael Gidlund http://arxiv.org/abs/2006.01278v1 • [eess.SY]Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames http://arxiv.org/abs/2006.01229v1 • [math.CT]Bayesian Updates Compose Optically Toby St. Clere Smithe http://arxiv.org/abs/2006.01631v1 • [math.LO]Automatized Evaluation of Formalization Exercises in Mathematics Merlin Carl http://arxiv.org/abs/2006.01800v1 • [math.OC]A modification of quasi-Newton’s methods helping to avoid saddle points Tuyen Trung Truong, Tat Dat To, Tuan Hang Nguyen, Thu Hang Nguyen, Hoang Phuong Nguyen, Maged Helmy http://arxiv.org/abs/2006.01512v1 • [math.OC]Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen http://arxiv.org/abs/2006.01620v1 • [math.OC]Online Stochastic Convex Optimization: Wasserstein Distance Variation Iman Shames, Farhad Farokhi http://arxiv.org/abs/2006.01397v1 • [math.OC]Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False Zehua Lai, Lek-Heng Lim http://arxiv.org/abs/2006.01510v1 • [physics.chem-ph]Committee neural network potentials control generalization errors and enable active learning Christoph Schran, Krystof Brezina, Ondrej Marsalek http://arxiv.org/abs/2006.01541v1 • [physics.comp-ph]Identification of hydrodynamic instability by convolutional neural networks Wuyue Yang, Liangrong Peng, Yi Zhu, Liu Hong http://arxiv.org/abs/2006.01446v1 • [physics.comp-ph]Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties Paul Sinz, Michael W. Swift, Xavier Brumwell, Jialin Liu, Kwang Jin Kim, Yue Qi, Matthew Hirn http://arxiv.org/abs/2006.01247v1 • [physics.geo-ph]Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence Xiong Zhang, Miao Zhang, Xiao Tian http://arxiv.org/abs/2006.01332v1 • [physics.soc-ph]Decomposing Excess Commuting: A Monte Carlo Simulation Approach Yujie Hu, Fahui Wang http://arxiv.org/abs/2006.01638v1 • [physics.soc-ph]Networks beyond pairwise interactions: structure and dynamics Federico Battiston, Giulia Cencetti, Iacopo Iacopini, Vito Latora, Maxime Lucas, Alice Patania, Jean-Gabriel Young, Giovanni Petri http://arxiv.org/abs/2006.01764v1 • [physics.soc-ph]Statistical physics of social networking Vaibhav Wasnik http://arxiv.org/abs/2006.01605v1 • [q-bio.PE]Stochastic Modeling of an Infectious Disease, Part I: Understand the Negative Binomial Distribution and Predict an Epidemic More Reliably Hisashi Kobayashi http://arxiv.org/abs/2006.01586v1 • [q-bio.QM]A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati http://arxiv.org/abs/2006.01693v1 • [q-bio.QM]Regression Enrichment Surfaces: a Simple Analysis Technique for Virtual Drug Screening Models Austin Clyde, Xiaotian Duan, Rick Stevens http://arxiv.org/abs/2006.01171v1 • [q-fin.GN]Egalitarian and Just Digital Currency Networks Gal Shahaf, Ehud Shapiro, Nimrod Talmon http://arxiv.org/abs/2005.14631v2 • [stat.AP]Comparing and Integrating US COVID-19 Daily Data from Multiple Sources: A County-Level Dataset with Local Characteristics Guannan Wang, Zhiling Gu, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Lei Gao, Li Wang http://arxiv.org/abs/2006.01333v1 • [stat.AP]Epileptic seizure prediction using Pearson’s product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling Antonio Quintero-Rincon, Carlos D’Giano, Marcelo Risk http://arxiv.org/abs/2006.01359v1 • [stat.AP]Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data Milan Straka, Rui Carvalho, Gijs van der Poel, Lubos Buzna http://arxiv.org/abs/2006.01672v1 • [stat.AP]Two-Phase Data Synthesis for Income: An Application to the NHIS Kevin Ros, Henrik Olsson, Jingchen Hu http://arxiv.org/abs/2006.01686v1 • [stat.ME]$l_1$-ball Prior: Uncertainty Quantification with Exact Zeros Maoran Xu, Leo L. Duan http://arxiv.org/abs/2006.01340v1 • [stat.ME]Assessing Non-Stationary Heatwave Hazard with Magnitude-Dependent Spatial Extremal Dependence Peng Zhong, Raphaël Huser, Thomas Opitz http://arxiv.org/abs/2006.01569v1 • [stat.ME]Conformal prediction intervals for the individual treatment effect Danijel Kivaranovic, Robin Ristl, Martin Posch, Hannes Leeb http://arxiv.org/abs/2006.01474v1 • [stat.ME]Cox regression analysis for distorted covariates with an unknown distortion function Yanyan Liu, Yuanshan Wu, Jing Zhang, Haibo Zhou http://arxiv.org/abs/2006.01507v1 • [stat.ME]Feature-weighted elastic net: using “features of features” for better prediction J. Kenneth Tay, Nima Aghaeepour, Trevor Hastie, Robert Tibshirani http://arxiv.org/abs/2006.01395v1 • [stat.ME]Hyperparameter Selection for Subsampling Bootstraps Yingying Ma, Hansheng Wang http://arxiv.org/abs/2006.01786v1 • [stat.ME]Identification Risk Evaluation of Continuous Synthesized Variables Ryan Hornby, Jingchen Hu http://arxiv.org/abs/2006.01298v1 • [stat.ME]Non-parametric causal effects based on longitudinal modified treatment policies Iván Díaz, Nicholas Williams, Katherine L. Hoffman, Edward J. Schenck http://arxiv.org/abs/2006.01366v1 • [stat.ME]Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy Jingchen Hu, Terrance D. Savitsky, Matthew R. Williams http://arxiv.org/abs/2006.01230v1 • [stat.ME]Robust multivariate methods in Chemometrics Peter Filzmoser, Sven Serneels, Ricardo Maronna, Christophe Croux http://arxiv.org/abs/2006.01617v1 • [stat.ME]Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models Yang Liu, Robert J. B. Goudie http://arxiv.org/abs/2006.01584v1 • [stat.ME]The role of exchangeability in causal inference Olli Saarela, David A. Stephens, Erica E. M. Moodie http://arxiv.org/abs/2006.01799v1 • [stat.ME]Two Robust Tools for Inference about Causal Effects with Invalid Instruments Hyunseung Kang, Youjin Lee, T. Tony Cai, Dylan S. Small http://arxiv.org/abs/2006.01393v1 • [stat.ML]A combinatorial conjecture from PAC-Bayesian machine learning M. Younsi, A. Lacasse http://arxiv.org/abs/2006.01387v1 • [stat.ML]A generalized linear joint trained framework for semi-supervised leaning of sparse features Juan C. Laria, Line H. Clemmensen, Bjarne K. Ersbøll http://arxiv.org/abs/2006.01671v1 • [stat.ML]A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables Maximilian Rixner, Phaedon-Stelios Koutsourelakis http://arxiv.org/abs/2006.01789v1 • [stat.ML]Bayesian Neural Networks Tom Charnock, Laurence Perreault-Levasseur, François Lanusse http://arxiv.org/abs/2006.01490v1 • [stat.ML]Careful analysis of XRD patterns with Attention Koichi Kano, Takashi Segi, Hiroshi Ozono http://arxiv.org/abs/2006.01451v1 • [stat.ML]Improved scalability under heavy tails, without strong convexity Matthew J. Holland http://arxiv.org/abs/2006.01364v1 • [stat.ML]Meta Learning as Bayes Risk Minimization Shin-ichi Maeda, Toshiki Nakanishi, Masanori Koyama http://arxiv.org/abs/2006.01488v1 • [stat.ML]Non-asymptotic Analysis in Kernel Ridge Regression Zejian Liu, Meng Li http://arxiv.org/abs/2006.01350v1 • [stat.ML]Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model Alejandro Schuler, Aashish Bhardwaj, Vincent Liu http://arxiv.org/abs/2006.01752v1 • [stat.ML]Sparse Cholesky covariance parametrization for recovering latent structure in ordered data Irene Córdoba, Concha Bielza, Pedro Larrañaga, Gherardo Varando http://arxiv.org/abs/2006.01448v1 • [stat.ML]Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler http://arxiv.org/abs/2006.01759v1 • [stat.ML]Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Sheng Xu, Zhou Fan, Sahand Negahban http://arxiv.org/abs/2006.01662v1