今日学术视野(2020.5.15)

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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MS - 数学软件 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.SD - 声音处理 cs.SI - 社交网络与信息网络 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.flu-dyn - 流体动力学 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros • [cs.AI]Artificial life properties of directed interaction combinators vs. chemlambda • [cs.AI]DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics • [cs.AI]R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution • [cs.CL]A computational model implementing subjectivity with the ‘Room Theory’. The case of detecting Emotion from Text • [cs.CL]Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report • [cs.CL]BIOMRC: A Dataset for Biomedical Machine Reading Comprehension • [cs.CL]Cross-Modality Relevance for Reasoning on Language and Vision • [cs.CL]Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA • [cs.CL]Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension • [cs.CL]End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization • [cs.CL]INFOTABS: Inference on Tables as Semi-structured Data • [cs.CL]Large Scale Multi-Actor Generative Dialog Modeling • [cs.CL]Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond • [cs.CL]Mitigating Gender Bias Amplification in Distribution by Posterior Regularization • [cs.CL]Parallel Corpus Filtering via Pre-trained Language Models • [cs.CL]Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic • [cs.CL]Reasoning with Latent Structure Refinement for Document-Level Relation Extraction • [cs.CL]Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation • [cs.CL]Sanskrit Segmentation Revisited • [cs.CL]Screenplay Quality Assessment: Can We Predict Who Gets Nominated? • [cs.CL]That is a Known Lie: Detecting Previously Fact-Checked Claims • [cs.CL]The Unstoppable Rise of Computational Linguistics in Deep Learning • [cs.CL]Towards Hate Speech Detection at Large via Deep Generative Modeling • [cs.CR]COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences • [cs.CR]LIoTS: League of IoT Sovereignties. A Scalable approach for a Transparent Privacy-safe Federation of Secured IoT Platforms • [cs.CV]3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning • [cs.CV]Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting • [cs.CV]Adversarial examples are useful too! • [cs.CV]Apple Defect Detection Using Deep Learning Based Object Detection For Better Post Harvest Handling • [cs.CV]Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification • [cs.CV]Binarizing MobileNet via Evolution-based Searching • [cs.CV]Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels • [cs.CV]Compositional Few-Shot Recognition with Primitive Discovery and Enhancing • [cs.CV]Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts • [cs.CV]DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images • [cs.CV]DeepFaceLab: A simple, flexible and extensible face swapping framework • [cs.CV]Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric • [cs.CV]Discriminative Multi-modality Speech Recognition • [cs.CV]FaR-GAN for One-Shot Face Reenactment • [cs.CV]Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing • [cs.CV]Increased-confidence adversarial examples for improved transferability of Counter-Forensic attacks • [cs.CV]Mean Oriented Riesz Features for Micro Expression Classification • [cs.CV]Multiple Attentional Pyramid Networks for Chinese Herbal Recognition • [cs.CV]Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition • [cs.CV]On the uncertainty of self-supervised monocular depth estimation • [cs.CV]Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors • [cs.CV]RISE Video Dataset: Recognizing Industrial Smoke Emissions • [cs.CV]Reference Pose Generation for Visual Localization via Learned Features and View Synthesis • [cs.CV]SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation • [cs.CV]Self-Supervised Deep Visual Odometry with Online Adaptation • [cs.CV]VIDIT: Virtual Image Dataset for Illumination Transfer • [cs.CY]A vision for global privacy bridges: Technical and legal measures for international data markets • [cs.CY]Digital Social Contracts: A Foundation for an Egalitarian and Just Digital Society • [cs.CY]How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt • [cs.CY]Oblivion of Online Reputation: How Time Cues Improve Online Recruitment • [cs.DB]Adaptive Rule Discovery for Labeling Text Data • [cs.DB]On Embeddings in Relational Databases • [cs.DB]Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data • [cs.DC]Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations • [cs.DC]Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics • [cs.DC]Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum • [cs.DC]Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising • [cs.DC]MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain • [cs.DC]RUPER-LB: Load balancing embarrasingly parallel applications in unpredictable cloud environments • [cs.DC]Semantic prefetching using forecast slices • [cs.DC]Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves • [cs.DC]The Scalable Systems Laboratory: a Platform for Software Innovation for HEP • [cs.DC]Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform • [cs.DL]MeSH descriptors indicate the knowledge growth in the SARS-CoV-2/COVID-19 pandemic • [cs.DS]Robustly Learning any Clusterable Mixture of Gaussians • [cs.GR]A Survey on Patch-based Synthesis: GPU Implementation and Optimization • [cs.IR]Efficient and Effective Query Auto-Completion • [cs.IR]Multi-modal Embedding Fusion-based Recommender • [cs.IR]Visualising COVID-19 Research • [cs.IT]A Framework for Constructing Centralized Coded Caching Schemes via Hamming Distance • [cs.IT]Detecting an Odd Restless Markov Arm with a Trembling Hand • [cs.IT]Finite-Blocklength and Error-Exponent Analyses for LDPC Codes in Point-to-Point and Multiple Access Communication • [cs.IT]Improved Computation-Communication Trade-Off for Coded Distributed Computing using Linear Dependence of Intermediate Values • [cs.IT]Low-Resolution ADC Quantized Full-Duplex Massive MIMO-Enabled Wireless Backhaul in Heterogeneous Networks Over Rician Channels • [cs.IT]Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application • [cs.IT]Stealth Communication with Vanishing Power over Binary Symmetric Channels • [cs.IT]Strong Asymptotic Composition Theorems for Sibson Mutual Information • [cs.LG]A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization • [cs.LG]Adaptive Double-Exploration Tradeoff for Outlier Detection • [cs.LG]Artificial Neural Network Pruning to Extract Knowledge • [cs.LG]DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses • [cs.LG]Explainable Reinforcement Learning: A Survey • [cs.LG]Generalized Multi-view Shared Subspace Learning using View Bootstrapping • [cs.LG]Guaranteeing Reproducibility in Deep Learning Competitions • [cs.LG]Implicit Regularization in Deep Learning May Not Be Explainable by Norms • [cs.LG]Isometric Transformation Invariant and Equivariant Graph Convolutional Networks • [cs.LG]Localized convolutional neural networks for geospatial wind forecasting • [cs.LG]Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders • [cs.LG]ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction • [cs.LG]On the Global Convergence Rates of Softmax Policy Gradient Methods • [cs.LG]Progressive growing of self-organized hierarchical representations for exploration • [cs.LG]Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning • [cs.LG]Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error • [cs.LG]The effect of Target Normalization and Momentum on Dying ReLU • [cs.LG]Towards Interpretable Deep Learning Models for Knowledge Tracing • [cs.LG]Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study • [cs.LG]Visual Analytics and Human Involvement in Machine Learning • [cs.LO]Yet Another Comparison of SAT Encodings for the At-Most-K Constraint • [cs.MS]The JuliaConnectoR: a functionally oriented interface for integrating Julia in R • [cs.NE]A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas • [cs.NE]Novelty Search makes Evolvability Inevitable • [cs.NE]Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection • [cs.NI]Deep Learning for Wireless Communications • [cs.RO]A Survey of Behavior Trees in Robotics and AI • [cs.RO]Autonomous Tissue Scanning under Free-Form Motion for Intraoperative Tissue Chara 93e cterisation • [cs.RO]Robust asymptotic stability of two-wheels differential drive mobile robot • [cs.RO]Using multiple sensors for autonomous mobile robot navigation • [cs.SD]Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis • [cs.SI]Detecting and analyzing collusive entities on YouTube • [cs.SI]Human Mobility in Response to COVID-19 in France, Italy and UK • [cs.SI]The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States • [eess.AS]Automatic Estimation of Inteligibility Measure for Consonants in Speech • [eess.IV]Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation • [eess.IV]Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement • [eess.IV]Deep Learning Techniques for Inverse Problems in Imaging • [eess.IV]Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components • [eess.IV]Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging • [eess.IV]Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration • [eess.SP]sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction • [eess.SY]A Compositional Sheaf-Theoretic Framework for Event-Based Systems • [eess.SY]Adaptive Smoothing Path Integral Control • [eess.SY]Stabilization control of networked mobile robot using past observation-based preditive filter • [math.OC]Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks • [math.PR]Detection thresholds in very sparse matrix completion • [math.ST]An Asymptotic Result of Conditional Logistic Regression Estimator • [math.ST]High Probability Lower Bounds for the Total Variation Distance • [math.ST]Nonparametric regression for locally stationary random fields under stochastic sampling design • [physics.flu-dyn]Deep Learning Convective Flow Using Conditional Generative Adversarial Networks • [q-bio.PE]The impact of undetected cases on tracking epidemics: the case of COVID-19 • [quant-ph]Boosting on the shoulders of giants in quantum device calibration • [stat.ME]Crackovid: Optimizing Group Testing • [stat.ME]Exchangeability, Conformal Prediction, and Rank Tests • [stat.ME]Inference on Achieved Signal Noise Ratio • [stat.ML]MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions ····································· • [cs.AI]A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao http://arxiv.org/abs/2005.06148v1 • [cs.AI]Artificial life properties of directed interaction combinators vs. chemlambda M. Buliga http://arxiv.org/abs/2005.06060v1 • [cs.AI]DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stephane Doncieux, Nicolas Bredeche, Léni Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz-Rodríguez, David Filliat, Timothy Hospedales, A. Eiben, Richard Duro http://arxiv.org/abs/2005.06223v1 • [cs.AI]R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution Anastasia Dimou http://arxiv.org/abs/2005.06293v1 • [cs.CL]A computational model implementing subjectivity with the ‘Room Theory’. The case of detecting Emotion from Text Carlo Lipizzi, Dario Borrelli, Fernanda de Oliveira Capela http://arxiv.org/abs/2005.06059v1 • [cs.CL]Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report Ali Hürriyetoğlu, Vanni Zavarella, Hristo Tanev, Erdem Yörük, Ali Safaya, Osman Mutlu http://arxiv.org/abs/2005.06070v1 • [cs.CL]BIOMRC: A Dataset for Biomedical Machine Reading Comprehension Petros Stavropoulos, Dimitris Pappas, Ion Androutsopoulos, Ryan McDonald http://arxiv.org/abs/2005.06376v1 • [cs.CL]Cross-Modality Relevance for Reasoning on Language and Vision Chen Zheng, Quan Guo, Parisa Kordjamshidi http://arxiv.org/abs/2005.06035v1 • [cs.CL]Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA Hyounghun Kim, Zineng Tang, Mohit Bansal http://arxiv.org/abs/2005.06409v1 • [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/2005.05806v2 • [cs.CL]End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu http://arxiv.org/abs/2005.06377v1 • [cs.CL]INFOTABS: Inference on Tables as Semi-structured Data Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar http://arxiv.org/abs/2005.06117v1 • [cs.CL]Large Scale Multi-Actor Generative Dialog Modeling Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro http://arxiv.org/abs/2005.06114v1 • [cs.CL]Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond Zhuosheng Zhang, Hai Zhao, Rui Wang http://arxiv.org/abs/2005.06249v1 • [cs.CL]Mitigating Gender Bias Amplification in Distribution by Posterior Regularization Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang http://arxiv.org/abs/2005.06251v1 • [cs.CL]Parallel Corpus Filtering via Pre-trained Language Models Boliang Zhang, Ajay Nagesh, Kevin Knight http://arxiv.org/abs/2005.06166v1 • [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/2005.05513v2 • [cs.CL]Reasoning with Latent Structure Refinement for Document-Level Relation Extraction Guoshun Nan, Zhijiang Guo, Ivan Sekulić, Wei Lu http://arxiv.org/abs/2005.06312v1 • [cs.CL]Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang http://arxiv.org/abs/2005.06128v1 • [cs.CL]Sanskrit Segmentation Revisited Sriram Krishnan, Amba Kulkarni http://arxiv.org/abs/2005.06383v1 • [cs.CL]Screenplay Quality Assessment: Can We Predict Who Gets Nominated? Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan http://arxiv.org/abs/2005.06123v1 • [cs.CL]That is a Known Lie: Detecting Previously Fact-Checked Claims Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov http://arxiv.org/abs/2005.06058v1 • [cs.CL]The Unstoppable Rise of Computational Linguistics in Deep Learning James Henderson http://arxiv.org/abs/2005.06420v1 • [cs.CL]Towards Hate Speech Detection at Large via Deep Generative Modeling Tomer Wullach, Amir Adler, Einat Minkov http://arxiv.org/abs/2005.06370v1 • [cs.CR]COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences Lucy Simko, Ryan Calo, Franziska Roesner, Tadayoshi Kohno http://arxiv.org/abs/2005.06056v1 • [cs.CR]LIoTS: League of IoT Sovereignties. A Scalable approach for a Transparent Privacy-safe Federation of Secured IoT Platforms Flavio Cirillo, Nicola Capuano, Simon Pietro Romano, Ernö Kovacs http://arxiv.org/abs/2005.06226v1 • [cs.CV]3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning Mi Tian, Qiong Nie, Hao Shen http://arxiv.org/abs/2005.06147v1 • [cs.CV]Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu, Jie Yang, Wenrui Ding http://arxiv.org/abs/2005.05776v2 • [cs.CV]Adversarial examples are useful too! Ali Borji http://arxiv.org/abs/2005.06107v1 • [cs.CV]Apple Defect Detection Using Deep Learning Based Object Detection For Better Post Harvest Handling Paolo Valdez http://arxiv.org/abs/2005.06089v1 • [cs.CV]Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification Chaoran Zhuge, Yujie Peng, Yadong Li, Jiangbo Ai, Junru Chen http://arxiv.org/abs/2005.06184v1 • [cs.CV]Binarizing MobileNet via Evolution-based Searching Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen http://arxiv.org/abs/2005.06305v1 • [cs.CV]Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt http://arxiv.org/abs/2005.06050v1 • [cs.CV]Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian http://arxiv.org/abs/2005.06047v1 • [cs.CV]Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts Aditya M. Deshpande, Anil Kumar Telikicherla, Vinay Jakkali, David A. Wickelhaus, Manish Kumar, Sam Anand http://arxiv.org/abs/2005.06037v1 • [cs.CV]DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images Onur Tasar, Alain Giros, Yuliya Tarabalka, Pierre Alliez, Sébastien Clerc http://arxiv.org/abs/2005.06216v1 • [cs.CV]DeepFaceLab: A simple, flexible and extensible face swapping framework Ivan Petrov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang http://arxiv.org/abs/2005.05535v2 • [cs.CV]Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric Yuteng Zhu, Graham D. Finlayson http://arxiv.org/abs/2005.06421v1 • [cs.CV]Discriminative Multi-modality Speech Recognition Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang http://arxiv.org/abs/2005.05592v2 • [cs.CV]FaR-GAN for One-Shot Face Reenactment Hanxiang Hao, Sriram Baireddy, Amy R. Reibman, Edward J. Delp http://arxiv.org/abs/2005.06402v1 • [cs.CV]Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing Sourya Dipta Das, Saikat Dutta http://arxiv.org/abs/2005.05999v1 • [cs.CV]Increased-confidence adversarial examples for improved transferability of Counter-Forensic attacks Wenjie Li, Benedetta Tondi, Rongrong Ni, Mauro Barni http://arxiv.org/abs/2005.06023v1 • [cs.CV]Mean Oriented Riesz Features for Micro Expression Classification Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand http://arxiv.org/abs/2005.06198v1 • [cs.CV]Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall http://arxiv.org/abs/2005.06423v1 • [cs.CV]Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition Hui Ding, Peng Zhou, Rama Chellappa http://arxiv.org/abs/2005.06040v1 • [cs.CV]On the uncertainty of self-supervised monocular depth estimation Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia http://arxiv.org/abs/2005.06209v1 • [cs.CV]Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors Lucas Brynte, Fredrik Kahl http://arxiv.org/abs/2005.06262v1 • [cs.CV]RISE Video Dataset: Recognizing Industrial Smoke Emissions Yen-Chia Hsu, Ting-Hao, Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah Nourbakhsh http://arxiv.org/abs/2005.06111v1 • [cs.CV]Reference Pose Generation for Visual Localization via Learned Features and View Synthesis Zichao Zhang, Torsten Sattler, Davide Scaramuzza http://arxiv.org/abs/2005.05179v2 • [cs.CV]SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation Enhai Liu, Zhenjie Tang, Bin Pan, Xia Xu, Tianyang Shi, Zhenwei Shi http://arxiv.org/abs/2005.06382v1 • [cs.CV]Self-Supervised Deep Visual Odometry with Online Adaptation Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha http://arxiv.org/abs/2005.06136v1 • [cs.CV]VIDIT: Virtual Image Dataset for Illumination Transfer Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine Süsstrunk http://arxiv.org/abs/2005.05460v2 • [cs.CY]A vision for global privacy bridges: Technical and legal measures for international data markets Sarah Spiekermann, Alexander Novotny http://arxiv.org/abs/2005.06324v1 • [cs.CY]Digital Social Contracts: A Foundation for an Egalitarian and Just Digital Society Luca Cardelli, Gal Shahaf, Ehud Shapiro, Nimrod Talmon http://arxiv.org/abs/2005.06261v1 • [cs.CY]How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt Gabriel Kaptchuk, Dan Goldstein, Eszter Hargittai, Jake Hofman, Elissa M. Redmiles http://arxiv.org/abs/2005.04343v2 • [cs.CY]Oblivion of Online Reputation: How Time Cues Improve Online Recruitment Alexander Novotny, Sarah Spiekermann http://arxiv.org/abs/2005.06302v1 • [cs.DB]Adaptive Rule Discovery for Labeling Text Data Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan http://arxiv.org/abs/2005.06133v1 • [cs.DB]On Embeddings in Relational Databases Siddhant Arora, Srikanta Bedathur http://arxiv.org/abs/2005.06437v1 • [cs.DB]Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Dhrubajyoti Ghosh, Peeyush Gupta http://arxiv.org/abs/2005.06154v1 • [cs.DC]Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu http://arxiv.org/abs/2005.05968v1 • [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/2005.05899v2 • [cs.DC]Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum Paulo Silva, David Vavřička, João Barr 8000 eto, Miguel Matos http://arxiv.org/abs/2005.06356v1 • [cs.DC]Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai http://arxiv.org/abs/2005.04355v2 • [cs.DC]MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta http://arxiv.org/abs/2005.06332v1 • [cs.DC]RUPER-LB: Load balancing embarrasingly parallel applications in unpredictable cloud environments Vicent Giménez Alventosa, Germán Moltó Martínez, J. Damián Segrelles Quilis http://arxiv.org/abs/2005.06361v1 • [cs.DC]Semantic prefetching using forecast slices Leeor Peled, Uri Weiser, Yoav Etsion http://arxiv.org/abs/2005.06102v1 • [cs.DC]Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves Tarek Elgamal, Klara Nahrstedt http://arxiv.org/abs/2005.06043v1 • [cs.DC]The Scalable Systems Laboratory: a Platform for Software Innovation for HEP Robert Gardner, Lincoln Bryant, Mark Neubauer, Frank Wuerthwein, Judith Stephen, Andrew Chien http://arxiv.org/abs/2005.06151v1 • [cs.DC]Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludaescher, Timothy McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis http://arxiv.org/abs/2005.06087v1 • [cs.DL]MeSH descriptors indicate the knowledge growth in the SARS-CoV-2/COVID-19 pandemic Johannes Stegmann http://arxiv.org/abs/2005.06259v1 • [cs.DS]Robustly Learning any Clusterable Mixture of Gaussians Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar http://arxiv.org/abs/2005.06417v1 • [cs.GR]A Survey on Patch-based Synthesis: GPU Implementation and Optimization Hadi Abdi Khojasteh http://arxiv.org/abs/2005.06278v1 • [cs.IR]Efficient and Effective Query Auto-Completion Simon Gog, Giulio Ermanno Pibiri, Rossano Venturini http://arxiv.org/abs/2005.06213v1 • [cs.IR]Multi-modal Embedding Fusion-based Recommender Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk http://arxiv.org/abs/2005.06331v1 • [cs.IR]Visualising COVID-19 Research Pierre Le Bras, Azimeh Gharavi, David A. Robb, Ana F. Vidal, Stefano Padilla, Mike J. Chantler http://arxiv.org/abs/2005.06380v1 • [cs.IT]A Framework for Constructing Centralized Coded Caching Schemes via Hamming Distance Xi Zhong, Minquan Cheng, Ruizhong Wei http://arxiv.org/abs/2005.06126v1 • [cs.IT]Detecting an Odd Restless Markov Arm with a Trembling Hand PN Karthik, Rajesh Sundaresan http://arxiv.org/abs/2005.06255v1 • [cs.IT]Finite-Blocklength and Error-Exponent Analyses for LDPC Codes in Point-to-Point and Multiple Access Communication Yuxin Liu, Michelle Effros http://arxiv.org/abs/2005.06428v1 • [cs.IT]Improved Computation-Communication Trade-Off for Coded Distributed Computing using Linear Dependence of Intermediate Values Shunsuke Horii http://arxiv.org/abs/2005.06118v1 • [cs.IT]Low-Resolution ADC Quantized Full-Duplex Massive MIMO-Enabled Wireless Backhaul in Heterogeneous Networks Over Rician Channels Prince Anokye, Roger Kwao Ahiadormey, Han-Shin Jo, Changick Song, Kyoung-Jae Lee http://arxiv.org/abs/2005.06185v1 • [cs.IT]Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application Zhenyu Zhang, Anas Chaaban, Mohamed-Slim Alouini http://arxiv.org/abs/2005.06211v1 • [cs.IT]Stealth Communication with Vanishing Power over Binary Symmetric Channels Diego Lentner, Gerhard Kramer http://arxiv.org/abs/2005.06313v1 • [cs.IT]Strong Asymptotic Composition Theorems for Sibson Mutual Information Benjamin Wu, Aaron B. Wagner, G. Edward Suh, Ibrahim Issa http://arxiv.org/abs/2005.06033v1 • [cs.LG]A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy http://arxiv.org/abs/2005.06394v1 • [cs.LG]Adaptive Double-Exploration Tradeoff for Outlier Detection Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou http://arxiv.org/abs/2005.06092v1 • [cs.LG]Artificial Neural Network Pruning to Extract Knowledge Evgeny M Mirkes http://arxiv.org/abs/2005.06284v1 • [cs.LG]DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li, Wei Jin, Han Xu, Jiliang Tang http://arxiv.org/abs/2005.06149v1 • [cs.LG]Explainable Reinforcement Learning: A Survey Erika Puiutta, Eric MSP Veith http://arxiv.org/abs/2005.06247v1 • [cs.LG]Generalized Multi-view Shared Subspace Learning using View Bootstrapping Krishna Somandepalli, Shrikanth Narayanan http://arxiv.org/abs/2005.06038v1 • [cs.LG]Guaranteeing Reproducibility in Deep Learning Competitions Brandon Houghton, Stephanie Milani, Nicholay Topin, William Guss, Katja Hofmann, Diego Perez-Liebana, Manuela Veloso, Ruslan Salakhutdinov http://arxiv.org/abs/2005.06041v1 • [cs.LG]Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin, Nadav Cohen http://arxiv.org/abs/2005.06398v1 • [cs.LG]Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie, Naoki Morita, Yu Ihara, Naoto Mitsume http://arxiv.org/abs/2005.06316v1 • [cs.LG]Localized convolutional neural networks for geospatial wind forecasting Arnas Uselis, Mantas Lukoševičius, Lukas Stasytis http://arxiv.org/abs/2005.05930v2 • [cs.LG]Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders Kristian Miok, Dong Nguyen-Doan, Marko Robnik-Šikonja, Daniela Zaharie http://arxiv.org/abs/2005.06173v1 • [cs.LG]ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow http://arxiv.org/abs/2005.06434v1 • [cs.LG]On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans http://arxiv.org/abs/2005.06392v1 • [cs.LG]Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke http://arxiv.org/abs/2005.06369v1 • [cs.LG]Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Leargning Han Cha, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim http://arxiv.org/abs/2005.06105v1 • [cs.LG]Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen Wright, David Page http://arxiv.org/abs/2005.06083v1 • [cs.LG]The effect of Target Normalization and Momentum on Dying ReLU Isac Arnekvist, J. Frederico Carvalho, Danica Kragic, Johannes A. Stork http://arxiv.org/abs/2005.06195v1 • [cs.LG]Towards Interpretable Deep Learning Models for Knowledge Tracing Yu Lu, Deliang Wang, Qinggang Meng, Penghe Chen http://arxiv.org/abs/2005.06139v1 • [cs.LG]Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi http://arxiv.org/abs/2005.06091v1 • [cs.LG]Visual Analytics and Human Involvement in Machine Learning Salomon Eisler, Joachim Meyer http://arxiv.org/abs/2005.06057v1 • [cs.LO]Yet Another Comparison of SAT Encodings for the At-Most-K Constraint Neng-Fa Zhou http://arxiv.org/abs/2005.06274v1 • [cs.MS]The JuliaConnectoR: a functionally oriented interface for integrating Julia in R Stefan Lenz, Maren Hackenberg, Harald Binder http://arxiv.org/abs/2005.06334v1 • [cs.NE]A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas Charlotte Frenkel, Jean-Didier Legat, David Bol http://arxiv.org/abs/2005.06318v1 • [cs.NE]Novelty Search makes Evolvability Inevitable Stephane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx http://arxiv.org/abs/2005.06224v1 • [cs.NE]Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection Karan Nayak http://arxiv.org/abs/2005.06142v1 • [cs.NI]Deep Learning for Wireless Communications Tugba Erpek, Timothy J. O’Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy http://arxiv.org/abs/2005.06068v1 • [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/2005.05842v2 • [cs.RO]Autonomous Tissue Scanning under Free-Form Motion for Intraoperative Tissue Chara 93e cterisation Jian Zhan, Joao Cartucho, Stamatia Giannarou http://arxiv.org/abs/2005.05050v2 • [cs.RO]Robust asymptotic stability of two-wheels differential drive mobile robot Thi Thanh Van Nguyen, Manh Duong Phung, Quang Vinh Tran http://arxiv.org/abs/2005.06181v1 • [cs.RO]Using multiple sensors for autonomous mobile robot navigation Thuan Hoang Tran, Manh Duong Phung, Anh Viet Dang, Quang Vinh Tran http://arxiv.org/abs/2005.06179v1 • [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/2005.05957v2 • [cs.SI]Detecting and analyzing collusive entities on YouTube Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty http://arxiv.org/abs/2005.06243v1 • [cs.SI]Human Mobility in Response to COVID-19 in France, Italy and UK Alessandro Galeazzi, Matteo Cinelli, Giovanni Bonaccorsi, Francesco Pierri, Ana Lucia Schmidt, Antonio Scala, Fabio Pammolli, Walter Quattrociocchi http://arxiv.org/abs/2005.06341v1 • [cs.SI]The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States Omid Askarisichania, Ambuj K. Singh, Francesco Bullo, Noah E. Friedkin http://arxiv.org/abs/2005.06245v1 • [eess.AS]Automatic Estimation of Inteligibility Measure for Consonants in Speech Ali Abavisani, Mark Hasegawa-Johnson http://arxiv.org/abs/2005.06065v1 • [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/2005.05761v1 • [eess.IV]Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement Minh-Chuong Huynh, Trung-Hieu Nguyen, Minh-Triet Tran http://arxiv.org/abs/2005.06189v1 • [eess.IV]Deep Learning Techniques for Inverse Problems in Imaging Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett http://arxiv.org/abs/2005.06001v1 • [eess.IV]Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components Thomas Baranowski, Dascha Dobrovolskij, Kilian Dremel, Astrid Hölzing, Günter Lohfink, Katja Schladitz, Simon Zabler http://arxiv.org/abs/2005.06431v1 • [eess.IV]Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging Feifan Wang, Bharat Biswal http://arxiv.org/abs/2005.06338v1 • [eess.IV]Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton Koning, Stefan Klein http://arxiv.org/abs/2005.06368v1 • [eess.SP]sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani, Vedant Khandelwal http://arxiv.org/abs/2005.06342v1 • [eess.SY]A Compositional Sheaf-Theoretic Framework for Event-Based Systems Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli http://arxiv.org/abs/2005.04715v3 • [eess.SY]Adaptive Smoothing Path Integral Control Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez http://arxiv.org/abs/2005.06364v1 • [eess.SY]Stabilization control of networked mobile robot using past observation-based preditive filter Manh Duong Phung, Thi Thanh Van Nguyen, Thuan Hoang Tran, Quang Vinh Tran http://arxiv.org/abs/2005.06175v1 • [math.OC]Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks Jie Peng, Qing Ling http://arxiv.org/abs/2005.06276v1 • [math.PR]Detection thresholds in very sparse matrix completion Charles Bordenave, Simon Coste, Raj Rao Nadakuditi http://arxiv.org/abs/2005.06062v1 • [math.ST]An Asymptotic Result of Conditional Logistic Regression Estimator Zhulin He, Yuyuan Ouyang http://arxiv.org/abs/2005.06158v1 • [math.ST]High Probability Lower Bounds for the Total Variation Distance Loris Michel, Jeffrey Näf, Nicolai Meinshausen http://arxiv.org/abs/2005.06006v1 • [math.ST]Nonparametric regression for locally stationary random fields under stochastic sampling design Daisuke Kurisu http://arxiv.org/abs/2005.06371v1 • [physics.flu-dyn]Deep Learning Convective Flow Using Conditional Generative Adversarial Networks Changlin Jiang, Amir Barati Farimani http://arxiv.org/abs/2005.06422v1 • [q-bio.PE]The impact of undetected cases on tracking epidemics: the case of COVID-19 Andrea De Simone, Marco Piangerelli http://arxiv.org/abs/2005.06180v1 • [quant-ph]Boosting on the shoulders of giants in quantum device calibration Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix Binder http://arxiv.org/abs/2005.06194v1 • [stat.ME]Crackovid: Optimizing Group Testing Louis Abraham, Gary Bécigneul, Bernhard Schölkopf http://arxiv.org/abs/2005.06413v1 • [stat.ME]Exchangeability, Conformal Prediction, and Rank Tests Arun Kumar Kuchibhotla http://arxiv.org/abs/2005.06095v1 • [stat.ME]Inference on Achieved Signal Noise Ratio Steven E. Pav http://arxiv.org/abs/2005.06171v1 • [stat.ML]MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions Hyuntae Lim, YounJoon Jung http://arxiv.org/abs/2005.06182v1