今日学术视野(2020.5.14)

cond-mat.mtrl-sci - 材料科学

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.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.DG - 微分几何 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cond-mat.mtrl-sci]Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB${2}$ Near Hydrogen Liquefaction Temperature • [cs.AI]Argument Schemes for Explainable Planning • [cs.AI]Data-driven Algorithm for Scheduling with Total Tardiness • [cs.AI]Dynamic Models Applied to Value Learning in Artificial Intelligence • [cs.AI]Goal Recognition over Imperfect Domain Models • [cs.AI]Preference Elicitation in Assumption-Based Argumentation • [cs.AI]Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL • [cs.AI]Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI • [cs.AI]WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge • [cs.CL]A Framework for Hierarchical Multilingual Machine Translation • [cs.CL]A Frobenius Algebraic Analysis for Parasitic Gaps • [cs.CL]A Report on the 2020 Sarcasm Detection Shared Task • [cs.CL]Detecting Multiword Expression Type Helps Lexical Complexity Assessment • [cs.CL]DiscreTalk: Text-to-Speech as a Machine Translation Problem • [cs.CL]Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension • [cs.CL]Dynamic Memory Induction Networks for Few-Shot Text Classification • [cs.CL]Enabling Language Models to Fill in the Blanks • [cs.CL]Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach • [cs.CL]Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) • [cs.CL]Intersectional Bias in Hate Speech and Abusive Language Datasets • [cs.CL]Learning and Evaluating Emotion Lexicons for 91 Languages • [cs.CL]Luganda Text-to-Speech Machine • [cs.CL]MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning • [cs.CL]Neighborhood Matching Network for Entity Alignment • [cs.CL]Neural Polysynthetic Language Modelling • [cs.CL]On the Generation of Medical Dialogues for COVID-19 • [cs.CL]On the Robustness of Language Encoders against Grammatical Errors • [cs.CL]Prta: A System to Support the Analysis of Propaganda Techniques in the News • [cs.CL]Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic • [cs.CL]Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019 • [cs.CL]SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis • [cs.CL]Schema-Guided Natural Language Generation • [cs.CL]Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data • [cs.CL]Semantic Scaffolds for Pseudocode-to-Code Generation • [cs.CL]Simultaneous paraphrasing and translation by fine-tuning Transformer models • [cs.CL]Simultaneous paraphrasing and translation by fine-tuning Transformer models • [cs.CR]A Secure Federated Learning Framework for 5G Networks • [cs.CR]Perturbing Inputs to Prevent Model Stealing • [cs.CV]3DV: 3D Dynamic Voxel for Action Recognition in Depth Video • [cs.CV]A Novel Distributed Approximate Nearest Neighbor Method for Real-time Face Recognition • [cs.CV]A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes • [cs.CV]Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting • [cs.CV]Automatic clustering of Celtic coins based on 3D point cloud pattern analysis • [cs.CV]Bayesian Fusion for Infrared and Visible Images • [cs.CV]Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract • [cs.CV]DeepFaceLab: A simple, flexible and extensible face swapping framework • [cs.CV]Detecting CNN-Generated Facial Images in Real-World Scenarios • [cs.CV]Discriminative Multi-modality Speech Recognition • [cs.CV]Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients • [cs.CV]Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling • [cs.CV]HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning • [cs.CV]IterDet: Iterative Scheme for ObjectDetection in Crowded Environments • [cs.CV]Latent Fingerprint Registration via Matching Densely Sampled Points 7000 • [cs.CV]Neural Architecture Transfer • [cs.CV]Normalized Convolutional Neural Network • [cs.CV]One-Shot Recognition of Manufacturing Defects in Steel Surfaces • [cs.CV]Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation • [cs.CV]Optimizing Vessel Trajectory Compression • [cs.CV]PSDet: Efficient and Universal Parking Slot Detection • [cs.CV]Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing • [cs.CV]ReadNet:Towards Accurate ReID with Limited and Noisy Samples • [cs.CV]Real-time Facial Expression Recognition “In The Wild’’ by Disentangling 3D Expression from Identity • [cs.CV]Recurrent and Spiking Modeling of Sparse Surgical Kinematics • [cs.CV]RetinotopicNet: An Iterative Attention Mechanism Using Local Descriptors with Global Context • [cs.CV]Scope Head for Accurate Localization in Object Detection • [cs.CV]Skeleton-Aware Networks for Deep Motion Retargeting • [cs.CV]Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics • [cs.CV]Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search • [cs.CV]Train and Deploy an Image Classifier for Disaster Response • [cs.CV]Unsupervised Multi-label Dataset Generation from Web Data • [cs.CV]VIDIT: Virtual Image Dataset for Illumination Transfer • [cs.CY]Ransomware in Windows and Android Platforms • [cs.CY]Tracking COVID-19 by Tracking Infectious Trajectories • [cs.DB]Counting Query Answers over a DL-Lite Knowledge Base (extended version) • [cs.DC]Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters • [cs.DC]CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks • [cs.DC]Compact Distributed Certification of Planar Graphs • [cs.DC]DMR API: Improving cluster productivity by turning applications into malleable • [cs.DC]Do we know the operating principles of our computers better than those of our brain? • [cs.DC]Guarding a Polygon Without Losing Touch • [cs.DC]Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics • [cs.DC]Porting and optimizing UniFrac for GPUs • [cs.DC]What Can Be Done with Consensus Number One: Relaxed Queues and Stacks • [cs.DS]A Relational Gradient Descent Algorithm For Support Vector Machine Training • [cs.GR]Unpaired Motion Style Transfer from Video to Animation • [cs.GT]On Stackelberg Signaling and its Impact on Receiver’s Trust in Personalized Recommender Systems • [cs.HC]Polyrhythmic Bimanual Coordination Training using Haptic Force Feedback • [cs.IR]COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19 • [cs.IR]Do not let the history haunt you — Mitigating Compounding Errors in Conversational Question Answering • [cs.IR]Interpreting Neural Ranking Models using Grad-CAM • [cs.IT]Age-Energy Tradeoff in Fading Channels with Packet-Based Transmissions • [cs.IT]Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach • [cs.IT]Characterizing Linear Memory-Rate Tradeoff of Coded Caching: The $(N,K)=(3,3)$ Case • [cs.IT]Competitive Algorithms for Minimizing the Maximum Age-of-Information • [cs.IT]Constructions of complementary sequence sets and complete complementary codes by 2-level autocorrelation sequences and permutation polynomials • [cs.IT]Federated Learning and Wireless Communications • [cs.IT]Noisy Density Evolution With Asymmetric Deviation Models • [cs.IT]Non-linear Log-Sobolev inequalities for the Potts semigroup and applications to reconstruction problems • [cs.IT]On Parity-Preserving Variable-Length Constrained Coding • [cs.IT]Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks • [cs.IT]Private Two-Terminal Hypothesis Testing • [cs.IT]Quadratic Privacy-Signaling Games, Payoff Dominant Equilibria and the Information Bottleneck Problem • [cs.IT]Rate Adaptation in Predictor Antenna Systems • [cs.IT]Secure mm-Wave Communications with Imperfect Hardware and Uncertain Eavesdropper Location • [cs.IT]Some Useful Integral Representations for Information-Theoretic Analyses • [cs.IT]Transmission Scheduling for Multi-loop Wireless Networked Control Based on LQ Cost Offset • [cs.IT]Upper Bounds on the Generalization Error of Private Algorithms • [cs.LG]Agglomerative Neural Networks for Multi-view Clustering • [cs.LG]Aortic Pressure Forecasting with Deep Sequence Learning • [cs.LG]AttViz: Online exploration of self-attention for transparent neural language modeling • [cs.LG]Delay-Aware Model-Based Reinforcement Learning for Continuous Control • [cs.LG]Delay-Aware Multi-Agent Reinforcement Learning • [cs.LG]Energy-Aware DNN Graph Optimization • [cs.LG]Evaluating Ensemble Robustness Against Adversarial Attacks • [cs.LG]Fostering Event Compression using Gated Surprise • [cs.LG]Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems • [cs.LG]Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics • [cs.LG]GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions • [cs.LG]Handling Concept Drift for Predictions in Business Process Mining • [cs.LG]Hypergraph Learning with Line Expansion • [cs.LG]Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach • [cs.LG]Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders • [cs.LG]Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data • [cs.LG]Localized convolutional neural networks for geospatial wind forecasting • [cs.LG]MOReL : Model-Based Offline Reinforcement Learning • [cs.LG]Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon • [cs.LG]Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise • [cs.LG]Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions • [cs.LG]Planning to Explore via Self-Supervised World Models • [cs.LG]Pretraining Federated Text Models for Next Word Prediction • [cs.LG]Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning • [cs.LG]RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks • [cs.LG]Robustness Verification for Classifier Ensembles • [cs.LG]SimpleMKKM: Simple Multiple Kernel K-means • [cs.LG]Training spiking neural networks using reinforcement learning • [cs.LG]Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization • [cs.LO]MathZero, The Classification Problem, and Set-Theoretic Type Theory • [cs.NE]Deep Learning: Our Miraculous Year 1990-1991 • [cs.NE]Unified Framework for the Adaptive Operator Selection of Discrete Parameters • [cs.NI]How Reliable is Smartphone-based Electronic Contact Tracing for COVID-19? • [cs.PF]Demonstrating 100 Gbps in and out of the public Clouds • [cs.RO]A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information • [cs.RO]A Survey of Behavior Trees in Robotics and AI • [cs.RO]A new RCM mechanism for an ear and facial surgical application • [cs.RO]Active Inference for Integrated State-Estimation, Control, and Learning • [cs.RO]Effective Viscous Damping Enables Morphological Computation in Legged Locomotion • [cs.RO]Human-Robot Collaboration in Microgravity: The Object Handover Problem • [cs.RO]Identifying Mechanical Models through Differentiable Simulations • [cs.RO]Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations • [cs.RO]Learning to Slide Unknown Objects with Differentiable Physics Simulations • [cs.RO]Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation • [cs.RO]Making Robots Draw A Vivid Portrait In Two Minutes • [cs.RO]Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning • [cs.RO]Towards Transparency of TD-RL Robotic Systems with a Human Teacher • [cs.RO]Towards biomimicry of a bat-style perching maneuver on structures: the manipulation of inertial dynamics • [cs.RO]Trust Considerations for Explainable Robots: A Human Factors Perspective • [cs.SD]AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN • [cs.SD]Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis • [cs.SI]An Exploratory Study of COVID-19 Misinformation on Twitter • [cs.SI]Networks in a World Unknown: Public WhatsApp Groups in the Venezuelan Refugee Crisis • [cs.SI]Observational Learning with Fake Agents • [eess.IV]Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation • [eess.IV]Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing • [eess.IV]High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks • [eess.IV]Invertible Image Rescaling • [eess.IV]Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 • [eess.IV]Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis • [eess.IV]Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks • [eess.SP]Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers • [eess.SP]Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network • [eess.SP]Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach • [eess.SP]Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation • [eess.SY]A Compositional Sheaf-Theoretic Framework for Event-Based Systems • [eess.SY]Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization • [math.CO]Estimating the Cheeger constant using machine learning • [math.DG]Fisher-Rao geometry of Dirichlet distributions • [math.DS]Convergence of Online Adaptive and Recurrent Optimization Algorithms • [math.NA]Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations • [math.NA]SPADE: Sequential-clustering Particle Annihilation via Discrepancy Estimation • [math.OC]Gradient-Free Methods for Saddle-Point Problem • [math.OC]Scalable First-Order Methods for Robust MDPs • [math.OC]Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space • [math.ST]A theoretical treatment of conditional independence testing under Model-X • [physics.soc-ph]Causal Estimation of Stay-at-Home Orders on SARS-CoV-2 Transmission • [q-bio.NC]Spike-Triggered Descent • [quant-ph]Bayesian optimal control of GHZ states in Rydberg lattices • [quant-ph]The Safari of Update Structures: Visiting the Lens and Quantum Enclosures • [stat.AP]Bayesian survival analysis with BUGS • [stat.AP]Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria • [stat.AP]Robust Lasso-Zero for sparse corruption and model selection with missing covariates • [stat.ME]Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data • [stat.ME]Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital • [stat.ME]Non-Separable Spatio-temporal Models via Transformed Gaussian Markov Random Fields • [stat.ME]On estimating the size of overcoverage with the latent class model. A critique of the paper “Population Size Estimation Using Multiple Incomplete Lists with Overcoverage” by di Cecco, di Zio, Filipponi and Rocchetti (2018, JOS 34 557-572) • [stat.ME]Two-phase analysis and study design for survival models with error-prone exposures • [stat.ML]Machine learning based digital twin for dynamical systems with multiple time-scales • [stat.ML]Modularizing Deep Learning via Pairwise Learning With Kernels • [stat.ML]The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis • [stat.ML]Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design ····································· • [cond-mat.mtrl-sci]**Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB${2}$ Near Hydrogen Liquefaction Temperature Pedro Baptista de Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki Takeya, Yoshihiko Takano http://arxiv.org/abs/2005.05618v1 • [cs.AI]Argument Schemes for Explainable Planning Quratul-ain Mahesar, Simon Parsons http://arxiv.org/abs/2005.05849v1 • [cs.AI]Data-driven Algorithm for Scheduling with Total Tardiness Michal Bouška, Antonín Novák, Přemysl Šůcha, István Módos, Zdeněk Hanzálek http://arxiv.org/abs/2005.05579v1 • [cs.AI]Dynamic Models Applied to Value Learning in Artificial Intelligence Nicholas Kluge Corrêa, Nythamar de Oliveira http://arxiv.org/abs/2005.05538v1 • [cs.AI]Goal Recognition over Imperfect Domain Models Ramon Fraga Pereira http://arxiv.org/abs/2005.05712v1 • [cs.AI]Preference Elicitation in Assumption-Based Argumentation Quratul-ain Mahesar, Nir Oren, Wamberto W. Vasconcelos http://arxiv.org/abs/2005.05721v1 • [cs.AI]Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish http://arxiv.org/abs/2005.04544v2 • [cs.AI]Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI Sandra Wachter, Brent Mittelstadt, Chris Russell http://arxiv.org/abs/2005.05906v1 • [cs.AI]WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge Hongming Zhang, Xinran Zhao, Yangqiu Song http://arxiv.org/abs/2005.05763v1 • [cs.CL]A Framework for Hierarchical Multilingual Machine Translation Ion Madrazo Azpiazu, Maria Soledad Pera http://arxiv.org/abs/2005.05507v1 • [cs.CL]A Frobenius Algebraic Analysis for Parasitic Gaps Michael Moortgat, Mehrnoosh Sadrzadeh, Gijs Wijnholds http://arxiv.org/abs/2005.05639v1 • [cs.CL]A Report on the 2020 Sarcasm Detection Shared Task Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan http://arxiv.org/abs/2005.05814v1 • [cs.CL]Detecting Multiword Expression Type Helps Lexical Complexity Assessment Ekaterina Kochmar, Sian Gooding, Matthew Shardlow http://arxiv.org/abs/2005.05692v1 • [cs.CL]DiscreTalk: Text-to-Speech as a Machine Translation Problem Tomoki Hayashi, Shinji Watanabe http://arxiv.org/abs/2005.05525v1 • [cs.CL]Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu http://arxiv.org/abs/2005.05806v1 • [cs.CL]Dynamic Memory Induction Networks for Few-Shot Text Classification Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu http://arxiv.org/abs/2005.05727v1 • [cs.CL]Enabling Language Models to Fill in the Blanks Chris Donahue, Mina Lee, Percy Liang http://arxiv.org/abs/2005.05339v1 • [cs.CL]Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio, Yue Zhang http://arxiv.org/abs/2005.05864v1 • [cs.CL]Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) Takashi Morita, Hiroki Koda http://arxiv.org/abs/2005.05487v1 • [cs.CL]Intersectional Bias in Hate Speech and Abusive Language Datasets Jae Yeon Kim, Carlos Ortiz, Sarah Nam, Sarah Santiago, Vivek Datta http://arxiv.org/abs/2005.05921v1 • [cs.CL]Learning and Evaluating Emotion Lexicons for 91 Languages Sven Buechel, Susanna Rücker, Udo Hahn http://arxiv.org/abs/2005.05672v1 • [cs.CL]Luganda Text-to-Speech Machine Irene Nandutu, Ernest Mwebaze http://arxiv.org/abs/2005.05447v1 • [cs.CL]MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal http://arxiv.org/abs/2005.05402v1 • [cs.CL]Neighborhood Matching Network for Entity Alignment Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao http://arxiv.org/abs/2005.05607v1 • [cs.CL]Neural Polysynthetic Language Modelling Lane Schwartz, Francis Tyers, Lori Levin, Christo Kirov, Patrick Littell, Chi-kiu Lo, Emily Prud’hommeaux, Hyunji, Park, Kenneth Steimel, Rebecca Knowles, Jeffrey Micher, Lonny Strunk, Han Liu, Coleman Haley, Katherine J. Zhang, Robbie Jimmerson, Vasilisa Andriyanets, Aldrian Obaja Muis, Naoki Otani, Jong Hyuk Park, Zhisong Zhang http://arxiv.org/abs/2005.05477v1 • [cs.CL]On the Generation of Medical Dialogues for COVID-19 Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric Xing, Pengtao Xie http://arxiv.org/abs/2005.05442v1 • [cs.CL]On the Robustness of Language Encoders against Grammatical Errors Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang http://arxiv.org/abs/2005.05683v1 • [cs.CL]Prta: A System to Support the Analysis of Propaganda Techniques in the News Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov http://arxiv.org/abs/2005.05854v1 • [cs.CL]Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi http://arxiv.org/abs/2005.05513v1 • [cs.CL]Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019 Antonio Toral http://arxiv.org/abs/2005.05738v1 • [cs.CL]SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu http://arxiv.org/abs/2005.05635v1 • [cs.CL]Schema-Guided Natural Language Generation Yuheng Du, Shereen Oraby, Vittorio Perera, Minmin Shen, Anjali Narayan-Chen, Tagyoung Chung, Anu Venkatesh, Dilek Hakkani-Tur http://arxiv.org/abs/2005.05480v1 • [cs.CL]Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay, Plaban Kumar Bhowmick, Parthapratim Das http://arxiv.org/abs/2005.05414v1 • [cs.CL]Semantic Scaffolds for Pseudocode-to-Code Generation Ruiqi Zhong, Mitchell Stern, Dan Klein http://arxiv.org/abs/2005.05927v1 • [cs.CL]Simultaneous paraphrasing and translation by fine-tuning Transformer models Rakesh Chada http://arxiv.org/abs/org/abs/2005.05570v1 • [cs.CL]Simultaneous paraphrasing and translation by fine-tuning Transformer models Rakesh Chada http://arxiv.org/abs/2005.05570v1 • [cs.CR]A Secure Federated Learning Framework for 5G Networks Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif http://arxiv.org/abs/2005.05752v1 • [cs.CR]Perturbing Inputs to Prevent Model Stealing Justin Grana http://arxiv.org/abs/2005.05823v1 • [cs.CV]3DV: 3D Dynamic Voxel for Action Recognition in Depth Video Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan http://arxiv.org/abs/2005.05501v1 • [cs.CV]A Novel Distributed Approximate Nearest Neighbor Method for Real-time Face Recognition Aysan Aghazadeh, Maryam Amirmazlaghani http://arxiv.org/abs/2005.05824v1 • [cs.CV]A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes Kaijie Xu, Witold Pedrycz, Zhiwu Li, Yinghui Quan, Weike Nie http://arxiv.org/abs/2005.05519v1 • [cs.CV]Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu, Jie Yang, Tieqiang Wang, Wenrui Ding http://arxiv.org/abs/2005.05776v1 • [cs.CV]Automatic clustering of Celtic coins based on 3D point cloud pattern analysis Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars http://arxiv.org/abs/2005.05705v1 • [cs.CV]Bayesian Fusion for Infrared and Visible Images Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang http://arxiv.org/abs/2005.05839v1 • [cs.CV]Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract Jingwei Song, Mitesh Patel, Andreas Girgensohn, Chelhwon Kim http://arxiv.org/abs/2005.05481v1 • [cs.CV]DeepFaceLab: A simple, flexible and extensible face swapping framework Ivan Petrov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Jian Jiang, Luis RP, Sheng Zhang, Pingyu Wu, Weiming Zhang http://arxiv.org/abs/2005.05535v1 • [cs.CV]Detecting CNN-Generated Facial Images in Real-World Scenarios Nils Hulzebosch, Sarah Ibrahimi, Marcel Worring http://arxiv.org/abs/2005.05632v1 • [cs.CV]Discriminative Multi-modality Speech Recognition Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang http://arxiv.org/abs/2005.05592v1 • [cs.CV]Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li http://arxiv.org/abs/2005.05552v1 • [cs.CV]Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang http://arxiv.org/abs/2005.05896v1 • [cs.CV]HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning Axel Barroso-Laguna, Yannick Verdie, Benjamin Busam, Krystian Mikolajczyk http://arxiv.org/abs/2005.05777v1 • [cs.CV]IterDet: Iterative Scheme for ObjectDetection in Crowded Environments Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin http://arxiv.org/abs/2005.05708v1 • [cs.CV]Latent Fingerprint Registration via Matching Densely Sampled Points 7000 Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou http://arxiv.org/abs/2005.05878v1 • [cs.CV]Neural Architecture Transfer Zhichao Lu, Gautam Sreekumar, Erik Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti http://arxiv.org/abs/2005.05859v1 • [cs.CV]Normalized Convolutional Neural Network Dongsuk Kim, Geonhee Lee http://arxiv.org/abs/2005.05274v2 • [cs.CV]One-Shot Recognition of Manufacturing Defects in Steel Surfaces Aditya M. Deshpande, Ali A. Minai, Manish Kumar http://arxiv.org/abs/2005.05815v1 • [cs.CV]Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation Arjun Gupta, Luca Carlone http://arxiv.org/abs/2005.05451v1 • [cs.CV]Optimizing Vessel Trajectory Compression Giannis Fikioris, Kostas Patroumpas, Alexander Artikis http://arxiv.org/abs/2005.05418v1 • [cs.CV]PSDet: Efficient and Universal Parking Slot Detection Zizhang Wu, Weiwei Sun, Man Wang, Xiaoquan Wang, Lizhu Ding, Fan Wang http://arxiv.org/abs/2005.05528v1 • [cs.CV]Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing Philipe A. Dias, Henry Medeiros http://arxiv.org/abs/2005.05856v1 • [cs.CV]ReadNet:Towards Accurate ReID with Limited and Noisy Samples Yitian Li, Ruini Xue, Mengmeng Zhu, Qing Xu, Zenglin Xu http://arxiv.org/abs/2005.05740v1 • [cs.CV]Real-time Facial Expression Recognition “In The Wild’’ by Disentangling 3D Expression from Identity Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis, Nicolas Pugeault, Anastasios Roussos http://arxiv.org/abs/2005.05509v1 • [cs.CV]Recurrent and Spiking Modeling of Sparse Surgical Kinematics Neil Getty, Zixuan Zhou, Stephan Gruessner, Liaohai Chen, Fangfang Xia http://arxiv.org/abs/2005.05868v1 • [cs.CV]RetinotopicNet: An Iterative Attention Mechanism Using Local Descriptors with Global Context Thomas Kurbiel, Shahrzad Khaleghian http://arxiv.org/abs/2005.05701v1 • [cs.CV]Scope Head for Accurate Localization in Object Detection Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang http://arxiv.org/abs/2005.04854v2 • [cs.CV]Skeleton-Aware Networks for Deep Motion Retargeting Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen http://arxiv.org/abs/2005.05732v1 • [cs.CV]Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics Max Schwarz, Sven Behnke http://arxiv.org/abs/2005.05659v1 • [cs.CV]Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar http://arxiv.org/abs/2005.05432v1 • [cs.CV]Train and Deploy an Image Classifier for Disaster Response Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren http://arxiv.org/abs/2005.05495v1 • [cs.CV]Unsupervised Multi-label Dataset Generation from Web Data Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust http://arxiv.org/abs/2005.05623v1 • [cs.CV]VIDIT: Virtual Image Dataset for Illumination Transfer Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine Süsstrunk http://arxiv.org/abs/2005.05460v1 • [cs.CY]Ransomware in Windows and Android Platforms Abdulrahman Alzahrani, Ali Alshehri, Hani Alshahrani, Huirong Fu http://arxiv.org/abs/2005.05571v1 • [cs.CY]Tracking COVID-19 by Tracking Infectious Trajectories Badreddine Benreguia, Hamouma Moumen, Mohammed Amine Merzoug http://arxiv.org/abs/2005.05523v1 • [cs.DB]Counting Query Answers over a DL-Lite Knowledge Base (extended version) Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski http://arxiv.org/abs/2005.05886v1 • [cs.DC]Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters Jing Pan, Wendao Liu, Jing Zhou http://arxiv.org/abs/2005.05510v1 • [cs.DC]CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden K. -H. So, Martin Herbordt, Ang Li, Yanzhi Wang http://arxiv.org/abs/2005.05758v1 • [cs.DC]Compact Distributed Certification of Planar Graphs Laurent Feuilloley, Pierre Fraigniaud, Ivan Rapaport, Éric Rémila, Pedro Montealegre, Ioan Todinca http://arxiv.org/abs/2005.05863v1 • [cs.DC]DMR API: Improving cluster productivity by turning applications into malleable Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti, Vicenc Beltran, Antonio J. Peña http://arxiv.org/abs/2005.05910v1 • [cs.DC]Do we know the operating principles of our computers better than those of our brain? János Végh, Ádám J. Berki http://arxiv.org/abs/2005.05061v1 • [cs.DC]Guarding a Polygon Without Losing Touch Barath Ashok, John Augustine, Aditya Mehekare, Sridhar Ragupathi, Srikkanth Ramachandran, Suman Sourav http://arxiv.org/abs/2005.05601v1 • [cs.DC]Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics R. Borrell, D. Dosimont, M. Garcia-Gasulla, G. Houzeaux, O. Lehmkuhl, V. Mehta, H. Owen, M. Vazquez, G. Oyarzun http://arxiv.org/abs/2005.05899v1 • [cs.DC]Porting and optimizing UniFrac for GPUs Igor Sfiligoi, Daniel McDonald, Rob Knight http://arxiv.org/abs/2005.05826v1 • [cs.DC]What Can Be Done with Consensus Number One: Relaxed Queues and Stacks Armando Castañeda, Sergio Rajsbaum, Michel Raynal http://arxiv.org/abs/2005.05427v1 • [cs.DS]A Relational Gradient Descent Algorithm For Support Vector Machine Training Mahmoud Abo-Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian http://arxiv.org/abs/2005.05325v1 • [cs.GR]Unpaired Motion Style Transfer from Video to Animation Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen http://arxiv.org/abs/2005.05751v1 • [cs.GT]On Stackelberg Signaling and its Impact on Receiver’s Trust in Personalized Recommender Systems Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla http://arxiv.org/abs/2005.05516v1 • [cs.HC]Polyrhythmic Bimanual Coordination Training using Haptic Force Feedback Ramy Mounir, Kyle Reed http://arxiv.org/abs/2005.05445v1 • [cs.IR]COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19 Junaed Younus Khan, Md. Tawkat Islam Khondaker, Iram Tazim Hoque, Hamada Al-Absi, Mohammad Saifur Rahman, Tanvir Alam, M. Sohel Rahman http://arxiv.org/abs/2005.05954v1 • [cs.IR]Do not let the history haunt you — Mitigating Compounding Errors in Conversational Question Answering Angrosh Mandya, James O’Neill, Danushka Bollegala, Frans Coenen http://arxiv.org/abs/2005.05754v1 • [cs.IR]Interpreting Neural Ranking Models using Grad-CAM Jaekeol Choi, Jungin Choi, Wonjong Rhee http://arxiv.org/abs/2005.05768v1 • [cs.IT]Age-Energy Tradeoff in Fading Channels with Packet-Based Transmissions Haitao Huang, Deli Qiao, M. Cenk Gursoy http://arxiv.org/abs/2005.05610v1 • [cs.IT]Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach Aoyu Gong, Tong Zhang, He Chen, Yijin Zhang http://arxiv.org/abs/2005.05443v1 • [cs.IT]Characterizing Linear Memory-Rate Tradeoff of Coded Caching: The $(N,K)=(3,3)$ Case Daming Cao, Yinfei Xu http://arxiv.org/abs/2005.05548v1 • [cs.IT]Competitive Algorithms for Minimizing the Maximum Age-of-Information Rajarshi Bhattacharjee, Abhishek Sinha http://arxiv.org/abs/2005.05873v1 • [cs.IT]Constructions of complementary sequence sets and complete complementary codes by 2-level autocorrelation sequences and permutation polynomials Zilong Wang, Guang Gong http://arxiv.org/abs/2005.05825v1 • [cs.IT]Federated Learning and Wireless Communications Zhijin Qin, Geoffrey Ye Li, Hao Ye http://arxiv.org/abs/2005.05265v2 • [cs.IT]Noisy Density Evolution With Asymmetric Deviation Models Elsa Dupraz, François Leduc-Primeau http://arxiv.org/abs/2005.05788v1 • [cs.IT]Non-linear Log-Sobolev inequalities for the Potts semigroup and applications to reconstruction problems Yuzhou Gu, Yury Polyanskiy http://arxiv.org/abs/2005.05444v1 • [cs.IT]On Parity-Preserving Variable-Length Constrained Coding Ron M. Roth, Paul H. Siegel http://arxiv.org/abs/2005.05455v1 • [cs.IT]Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks Ramy Amer, Hesham ElSawy, Jacek Kibiłda, M. Majid Butt, Nicola Marchetti http://arxiv.org/abs/2005.05458v1 • [cs.IT]Private Two-Terminal Hypothesis Testing Varun Narayanan, Manoj Mishra, Vinod M. Prabhakaran http://arxiv.org/abs/2005.05961v1 • [cs.IT]Quadratic Privacy-Signaling Games, Payoff Dominant Equilibria and the Information Bottleneck Problem Ertan Kazıklı, Sinan Gezici, Serdar Yüksel http://arxiv.org/abs/2005.05743v1 • [cs.IT]Rate Adaptation in Predictor Antenna Systems Hao Guo, Behrooz Makki, Tommy Svensson http://arxiv.org/abs/2005.05323v1 • [cs.IT]Secure mm-Wave Communications with Imperfect Hardware and Uncertain Eavesdropper Location Saeed Mashdour, Majid Moradikia, Phee Lep Yeoh http://arxiv.org/abs/2005.05439v1 • [cs.IT]Some Useful Integral Representations for Information-Theoretic Analyses Neri Merhav, Igal Sason http://arxiv.org/abs/2005.05795v1 • [cs.IT]Transmission Scheduling for Multi-loop Wireless Networked Control Based on LQ Cost Offset He Ma, Shidong Zhou, Xiujun Zhang, Limin Xiao http://arxiv.org/abs/2005.05591v1 • [cs.IT]Upper Bounds on the Generalization Error of Private Algorithms Borja Rodríguez-Gálvez, Germán Bassi, Mikael Skoglund http://arxiv.org/abs/2005.05889v1 • [cs.LG]Agglomerative Neural Networks for Multi-view Clustering Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie http://arxiv.org/abs/2005.05556v1 • [cs.LG]Aortic Pressure Forecasting with Deep Sequence Learning Rui Wang, Eliza Huang, Uma Chandrasekaran, Rose Yu http://arxiv.org/abs/2005.05502v1 • [cs.LG]AttViz: Online exploration of self-attention for transparent neural language modeling Blaž Škrlj, Nika Eržen, Shane Sheehan, Saturnino Luz, Marko Robnik-Šikonja, Senja Pollak http://arxiv.org/abs/2005.05716v1 • [cs.LG]Delay-Aware Model-Based Reinforcement Learning for Continuous Control Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao http://arxiv.org/abs/2005.05440v1 • [cs.LG]Delay-Aware Multi-Agent Reinforcement Learning Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao http://arxiv.org/abs/2005.05441v1 • [cs.LG]Energy-Aware DNN Graph Optimization Yu Wang, Rong Ge, Shuang Qiu http://arxiv.org/abs/2005.05837v1 • [cs.LG]Evaluating Ensemble Robustness Against Adversarial Attacks George Adam, Romain Speciel http://arxiv.org/abs/2005.05750v1 • [cs.LG]Fostering Event Compression using Gated Surprise Dania Humaidan, Sebastian Otte, Martin V. Butz http://arxiv.org/abs/2005.05704v1 • [cs.LG]Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems Yuan Sun, Andreas Ernst, Xiaodong Li, Jake Weiner http://arxiv.org/abs/2005.05847v1 • [cs.LG]Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics Antonin Raffin, Freek Stulp http://arxiv.org/abs/2005.05719v1 • [cs.LG]GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin http://arxiv.org/abs/2005.05537v1 • [cs.LG]Handling Concept Drift for Predictions in Business Process Mining Lucas Baier, Josua Reimold, Niklas Kühl http://arxiv.org/abs/2005.05810v1 • [cs.LG]Hypergraph Learning with Line Expansion Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher http://arxiv.org/abs/2005.04843v2 • [cs.LG]Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach Xinting Zhu, Lishuai Li http://arxiv.org/abs/2005.05684v1 • [cs.LG]Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis http://arxiv.org/abs/2005.05496v1 • [cs.LG]Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi http://arxiv.org/abs/2005.05898v1 • [cs.LG]Localized convolutional neural networks for geospatial wind forecasting Arnas Uselis, Mantas Lukoševičius, Lukas Stasytis http://arxiv.org/abs/2005.05930v1 • [cs.LG]MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli, Thorsten Joachims http://arxiv.org/abs/2005.05951v1 • [cs.LG]Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon David Suter, Ruwan Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar http://arxiv.org/abs/2005.05490v1 • [cs.LG]Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise Yan Yan, Yuhong Guo http://arxiv.org/abs/2005.05407v1 • [cs.LG]Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang http://arxiv.org/abs/2005.05117v2 • [cs.LG]Planning to Explore via Self-Supervised World Models Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak http://arxiv.org/abs/2005.05960v1 • [cs.LG]Pretraining Federated Text Models for Next Word Prediction Joel Stremmel, Arjun Singh http://arxiv.org/abs/2005.04828v2 • [cs.LG]Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning Suleyman Yildirim, Alper Ekrem Murat, Murat Yildirim, Suzan Arslanturk http://arxiv.org/abs/2005.05385v1 • [cs.LG]RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks Rohun Tripathi, Bharat Singh http://arxiv.org/abs/2005.05955v1 • [cs.LG]Robustness Verification for Classifier Ensembles Dennis Gross, Nils Jansen, Guillermo A. Pérez, Stephan Raaijmakers http://arxiv.org/abs/2005.05587v1 • [cs.LG]SimpleMKKM: Simple Multiple Kernel K-means Xinwang Liu, En Zhu, Jiyuan Liu, Timothy Hospedales, Yang Wang, Meng Wang http://arxiv.org/abs/2005.04975v2 • [cs.LG]Training spiking neural networks using reinforcement learning Sneha Aenugu http://arxiv.org/abs/2005.05941v1 • [cs.LG]Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization Selim F. Yilmaz, Suleyman S. Kozat http://arxiv.org/abs/2005.05865v1 • [cs.LO]MathZero, The Classification Problem, and Set-Theoretic Type Theory David McAllester http://arxiv.org/abs/2005.05512v1 • [cs.NE]Deep Learning: Our Miraculous Year 1990-1991 Juergen Schmidhuber http://arxiv.org/abs/2005.05744v1 • [cs.NE]Unified Framework for the Adaptive Operator Selection of Discrete Parameters Mudita Sharma, Manuel Lopez-Ibanez, Dimitar Kazakov http://arxiv.org/abs/2005.05613v1 • [cs.NI]How Reliable is Smartphone-based Electronic Contact Tracing for COVID-19? Philipp H. Kindt, Trinad Chakraborty, Samarjit Chakraborty http://arxiv.org/abs/2005.05625v1 • [cs.PF]Demonstrating 100 Gbps in and out of the public Clouds Igor Sfiligoi http://arxiv.org/abs/2005.05836v1 • [cs.RO]A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information Yutong Li, Nan Li, H. Eric Tseng, Suzhou Huang, Ilya Kolmanovsky, Anouck Girard, Dimitar Filev http://arxiv.org/abs/2005.05405v1 • [cs.RO]A Survey of Behavior Trees in Robotics and AI Matteo Iovino, Edvards Scukins, Jonathan Styrud, Petter Ögren, Christian Smith http://arxiv.org/abs/2005.05842v1 • [cs.RO]A new RCM mechanism for an ear and facial surgical application Guillaume Michel, Durgesh Salunkhe, Damien Chablat, Philippe Bordure http://arxiv.org/abs/2005.05599v1 • [cs.RO]Active Inference for Integrated State-Estimation, Control, and Learning Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes http://arxiv.org/abs/2005.05894v1 • [cs.RO]Effective Viscous Damping Enables Morphological Computation in Legged Locomotion An Mo, Fabio Izzi, Daniel F. B. Haeufle, Alexander Badri-Spröwitz http://arxiv.org/abs/2005.05725v1 • [cs.RO]Human-Robot Collaboration in Microgravity: The Object Handover Problem Adriana Fernandes, Rodrigo Ventura http://arxiv.org/abs/2005.05735v1 • [cs.RO]Identifying Mechanical Models through Differentiable Simulations Changkyu Song, Abdeslam Boularias http://arxiv.org/abs/2005.05410v1 • [cs.RO]Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson http://arxiv.org/abs/2005.05421v1 • [cs.RO]Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song, Abdeslam Boularias http://arxiv.org/abs/2005.05456v1 • [cs.RO]Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund http://arxiv.org/abs/2005.05662v1 • [cs.RO]Making Robots Draw A Vivid Portrait In Two Minutes Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang http://arxiv.org/abs/2005.05526v1 • [cs.RO]Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok http://arxiv.org/abs/2005.05420v1 • [cs.RO]Towards Transparency of TD-RL Robotic Systems with a Human Teacher Marco Matarese, Silvia Rossi, Alessandra Sciutti, Francesco Rea http://arxiv.org/abs/2005.05926v1 • [cs.RO]Towards biomimicry of a bat-style perching maneuver on structures: the manipulation of inertial dynamics Alireza Ramezani http://arxiv.org/abs/2005.05426v1 • [cs.RO]Trust Considerations for Explainable Robots: A Human Factors Perspective Lindsay Sanneman, Julie A. Shah http://arxiv.org/abs/2005.05940v1 • [cs.SD]AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN Zewang Zhang, Qiao Tian, Heng Lu, Ling-Hui Chen, Shan Liu http://arxiv.org/abs/2005.05642v1 • [cs.SD]Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis Rafael Valle, Kevin Shih, Ryan Prenger, Bryan Catanzaro http://arxiv.org/abs/2005.05957v1 • [cs.SI]An Exploratory Study of COVID-19 Misinformation on Twitter Gautam Kishore Shahi, Anne Dirkson, Tim A. Majchrzak http://arxiv.org/abs/2005.05710v1 • [cs.SI]Networks in a World Unknown: Public WhatsApp Groups in the Venezuelan Refugee Crisis Adam Chang http://arxiv.org/abs/2005.05883v1 • [cs.SI]Observational Learning with Fake Agents Pawan Poojary, Randall Berry http://arxiv.org/abs/2005.05518v1 • [eess.IV]Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation Samira Masoudi, Syed M. Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci http://arxiv.org/abs/rg/abs/2005.05761v1 • [eess.IV]Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing Neil Getty, Thomas Brettin, Dong Jin, Rick Stevens, Fangfang Xia http://arxiv.org/abs/2005.05431v1 • [eess.IV]High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya http://arxiv.org/abs/2005.05550v1 • [eess.IV]Invertible Image Rescaling Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu http://arxiv.org/abs/2005.05650v1 • [eess.IV]Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19 Sampa Misra, Seungwan Jeon, Seiyon Lee, Ravi Managuli, Chulhong Kim http://arxiv.org/abs/2005.05576v1 • [eess.IV]Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao http://arxiv.org/abs/2005.05594v1 • [eess.IV]Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks Thomas Tilak, Arnaud Braun, David Chandler, Nicolas David, Sylvain Galopin, Amélie Lombard, Michaël Michaud, Camille Parisel, Matthieu Porte, Marjorie Robert http://arxiv.org/abs/2005.05652v1 • [eess.SP]Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus http://arxiv.org/abs/2005.05321v1 • [eess.SP]Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O’Toole http://arxiv.org/abs/2005.05561v1 • [eess.SP]Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O’Toole http://arxiv.org/abs/2005.05559v1 • [eess.SP]Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation Junbo Zhao, Marcos Netto, Zhenyu Huang, Samson Shenglong Yu, Antonio Gomez-Exposito, Shaobu Wang, Innocent Kamwa, Shahrokh Akhlaghi, Lamine Mili, Vladimir Terzija, A. P. Sakis Meliopoulos, Bikash Pal, Abhinav Kumar Singh, Ali Abur, Tianshu Bi, Alireza Rouhani http://arxiv.org/abs/2005.05380v1 • [eess.SY]A Compositional Sheaf-Theoretic Framework for Event-Based Systems Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli http://arxiv.org/abs/2005.04715v2 • [eess.SY]Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization Ankush Chakrabarty, Mouhacine Benosman http://arxiv.org/abs/2005.05888v1 • [math.CO]Estimating the Cheeger constant using machine learning Ambar Jain, Shivam Pal, Kashyap Rajeevsarathy http://arxiv.org/abs/2005.05812v1 • [math.DG]Fisher-Rao geometry of Dirichlet distributions Alice Le Brigant, Stephen Preston, Stéphane Puechmorel http://arxiv.org/abs/2005.05608v1 • [math.DS]Convergence of Online Adaptive and Recurrent Optimization Algorithms Pierre-Yves Massé, Yann Ollivier http://arxiv.org/abs/2005.05645v1 • [math.NA]Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations Wayne Isaac Tan Uy, Benjamin Peherstorfer http://arxiv.org/abs/2005.05890v1 • [math.NA]SPADE: Sequential-clustering Particle Annihilation via Discrepancy Estimation Sihong Shao, Yunfeng Xiong http://arxiv.org/abs/2005.05129v2 • [math.OC]Gradient-Free Methods for Saddle-Point Problem Aleksandr Beznosikov, Abdurakhmon Sadiev, Alexander Gasnikov http://arxiv.org/abs/2005.05913v1 • [math.OC]Scalable First-Order Methods for Robust MDPs Julien Grand-Clément, Christian Kroer http://arxiv.org/abs/2005.05434v1 • [math.OC]Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space Nikolas Nüsken, Lorenz Richter http://arxiv.org/abs/2005.05409v1 • [math.ST]A theoretical treatment of conditional independence testing under Model-X Eugene Katsevich, Aaditya Ramdas http://arxiv.org/abs/2005.05506v1 • [physics.soc-ph]Causal Estimation of Stay-at-Home Orders on SARS-CoV-2 Transmission M. Keith Chen, Yilin Zhuo, Malena de la Fuente, Ryne Rohla, Elisa F. Long http://arxiv.org/abs/2005.05469v1 • [q-bio.NC]Spike-Triggered Descent Michael Kummer, Arunava Banerjee http://arxiv.org/abs/2005.05572v1 • [quant-ph]Bayesian optimal control of GHZ states in Rydberg lattices Rick Mukherjee, Harry Xie, Florian Mintert http://arxiv.org/abs/2005.05802v1 • [quant-ph]The Safari of Update Structures: Visiting the Lens and Quantum Enclosures Matthew Wilson, James Hefford, Guillaume Boisseau, Vincent Wang http://arxiv.org/abs/2005.05293v2 • [stat.AP]Bayesian survival analysis with BUGS Danilo Alvares, Elena Lázaro, Virgilio Gómez-Rubio, Carmen Armero http://arxiv.org/abs/2005.05952v1 • [stat.AP]Informed attribution of flood changes to decadal variation of atmospheric, catchment and river drivers in Upper Austria Miriam Bertola, Alberto Viglione, Günter Blöschl http://arxiv.org/abs/2005.05665v1 • [stat.AP]Robust Lasso-Zero for sparse corruption and model selection with missing covariates Pascaline Descloux, Claire Boyer, Julie Josse, Aude Sportisse, Sylvain Sardy http://arxiv.org/abs/2005.05628v1 • [stat.ME]Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data Yuan Fang, Dimitris Karlis, Sanjeena Subedi http://arxiv.org/abs/2005.05324v1 • [stat.ME]Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital Setareh Ranjbar, Eva Cantoni, Valérie Chavez-Demoulin, Giampiero Marra, Rosalba Radice, Katia Jaton-Ogay http://arxiv.org/abs/2005.05808v1 • [stat.ME]Non-Separable Spatio-temporal Models via Transformed Gaussian Markov Random Fields Douglas R. M. Azevedo, Marcos O. Prates, Michael R. Willig http://arxiv.org/abs/2005.05464v1 • [stat.ME]On estimating the size of overcoverage with the latent class model. A critique of the paper “Population Size Estimation Using Multiple Incomplete Lists with Overcoverage” by di Cecco, di Zio, Filipponi and Rocchetti (2018, JOS 34 557-572) Peter G M van der Heijden, Paul A. Smith http://arxiv.org/abs/2005.05452v1 • [stat.ME]Two-phase analysis and study design for survival models with error-prone exposures Kyunghee Han, Thomas Lumley, Bryan E. Shepherd, Pamela A. Shaw http://arxiv.org/abs/2005.05511v1 • [stat.ML]Machine learning based digital twin for dynamical systems with multiple time-scales Souvik Chakraborty, Sondipon Adhikari http://arxiv.org/abs/2005.05862v1 • [stat.ML]Modularizing Deep Learning via Pairwise Learning With Kernels Shiyu Duan, Shujian Yu, Jose Principe http://arxiv.org/abs/2005.05541v1 • [stat.ML]The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis Jiae Kim, Yoonkyung Lee, Zhiyu Liang http://arxiv.org/abs/2005.05546v1 • [stat.ML]Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design** Rémy Priem, Nathalie Bartoli, Youssef Diouane, Alessandro Sgueglia http://arxiv.org/abs/2005.05067v2