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.DC - 分布式、并行与集群计算 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.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.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 • [cs.AI]An Object Model for the Representation of Empirical Knowledge • [cs.AI]Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes • [cs.AI]DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling • [cs.AI]Exploring Crowd Co-creation Scenarios for Sketches • [cs.AI]Finding Experts in Transformer Models • [cs.AI]Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error • [cs.AI]Lifelong Multi-Agent Path Finding in Large-Scale Warehouses • [cs.AI]MineReduce: an approach based on data mining for problem size reduction • [cs.AI]Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning • [cs.CL]A chatbot architecture for promoting youth resilience • [cs.CL]A pre-training technique to localize medical BERT and enhance BioBERT • [cs.CL]Adaptive Transformers for Learning Multimodal Representations • [cs.CL]Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity • [cs.CL]COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter • [cs.CL]Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline • [cs.CL]Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model • [cs.CL]Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre • [cs.CL]Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space • [cs.CL]Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation • [cs.CL]Movement Pruning: Adaptive Sparsity by Fine-Tuning • [cs.CL]Neural Entity Linking on Technical Service Tickets • [cs.CL]OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach • [cs.CL]Recent Advances in SQL Query Generation: A Survey • [cs.CL]Spelling Error Correction with Soft-Masked BERT • [cs.CL]VirAAL: Virtual Adversarial Active Learning • [cs.CR]Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic • [cs.CR]Practical Traffic-space Adversarial Attacks on Learning-based NIDSs • [cs.CV]A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection • [cs.CV]Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models • [cs.CV]Bi3D: Stereo Depth Estimation via Binary Classifications • [cs.CV]Binarizing MobileNet via Evolution-based Searching • [cs.CV]Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation • [cs.CV]DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation • [cs.CV]Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images • [cs.CV]Evolved Explainable Classifications for Lymph Node Metastases • [cs.CV]Exploring the Capabilities and Limits of 3D Monocular Object Detection — A Study on Simulation and Real World Data • [cs.CV]Guided interactive image segmentation using machine learning and color based data set clustering • [cs.CV]HNAS: Hierarchical Neural Architecture Search on Mobile Devices • [cs.CV]Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study • [cs.CV]Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach • [cs.CV]Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension • [cs.CV]PrimiTect: Fast Continuous Hough Voting for Primitive Detection • [cs.CV]ResMoNet: A Residual Mobile-based Network for Facial Emotion Recognition in Resource-Limited Systems • [cs.CV]Resisting the Distracting-factors in Pedestrian Detection • [cs.CV]SUPER: A Novel Lane Detection System • [cs.CV]Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model • [cs.CV]Taskology: Utilizing Task Relations at Scale • [cs.CV]ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language • [cs.CY]A Risk Assessment of a Pretrial Risk Assessment Tool: Tussles, Mitigation Strategies, and Inherent Limits • [cs.CY]E-Health Sensitive Data Dissemination Exploiting Trust and Mobility of Users • [cs.CY]Factors in the Portability of Tokenized Assets on Distributed Ledgers • [cs.CY]Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners • [cs.CY]Machine Learning as a Catalyst for Value-Based Health Care • [cs.CY]Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics • [cs.CY]Practice and Experience in Advanced Research Computing • [cs.DC]Efficient Distributed Algorithms for the $K$-Nearest Neighbors Problem • [cs.DC]Elastic execution of checkpointed MPI applications • [cs.DC]Input-dynamic distributed graph algorithms for congested networks • [cs.DC]New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges • [cs.DC]Phase Transition of a Non-Linear Opinion Dynamics with Noisy Interactions • [cs.DC]Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments • [cs.DC]Tight Bounds for Black Hole Search in Dynamic Rings • [cs.DC]Time- and Space-Optimal Clock Synchronization in the Beeping Model • [cs.DC]kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows • [cs.IR]Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision • [cs.IR]Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching • [cs.IR]The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums • [cs.IR]Visualising COVID-19 Research • [cs.IT]Batch Codes from Affine Cartesian Codes and Quotient Spaces • [cs.IT]Beamforming Through Reconfigurable Intelligent Surfaces in Single-User MIMO Systems: SNR Distribution and Scaling Laws in the Presence of Channel Fading and Phase Noise • [cs.IT]Binary Hypothesis Testing with Deterministic Finite-Memory Decision Rules • [cs.IT]Capacity per Unit-Energy of Gaussian Random Many-Access Channels • [cs.IT]Construction $C^\star$ from Self-Dual Codes • [cs.IT]Decoding of NB-LDPC codes over Subfields • [cs.IT]Embedding Information in Radiation Pattern Fluctuations • [cs.IT]Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems • [cs.IT]Nearest Neighbor and Contact Distance Distribution for Binomial Point Process on Spherical Surfaces • [cs.IT]Network Coding Based on Byte-wise Circular Shift and Integer Addition • [cs.IT]Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming • [cs.IT]Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD • [cs.IT]Towards Optimal Energy Efficiency in Cell-Free Massive MIMO Systems • [cs.LG]A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions • [cs.LG]A Distributional View on Multi-Objective Policy Optimization • [cs.LG]Adaptive XGBoost for Evolving Data Streams • [cs.LG]Convolutional neural networks for classification and regression analysis of one-dimensional spectral data • [cs.LG]Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? • [cs.LG]Efficiently Learning Adversarially Robust Halfspaces with Noise • [cs.LG]Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures • [cs.LG]Initializing Perturbations in Multiple Directions for Fast Adversarial Training • [cs.LG]Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems • [cs.LG]Predicting User Emotional Tone in Mental Disorder Online Communities • [cs.LG]Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking • [cs.LG]Simple Sensor Intentions for Exploration • [cs.LG]Statistical Equity: A Fairness Classification Objective • [cs.LG]Structural Temporal Graph Neural Networks for Anomaly Detectio 815 n in Dynamic Graphs • [cs.LG]Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness • [cs.LG]Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data • [cs.LG]Variational Inference as Iterative Projection in a Bayesian Hilbert Space • [cs.NE]Evo 2020 — Late-Breaking Abstracts Volume • [cs.NE]Improving Neuroevolution Using Island Extinction and Repopulation • [cs.NE]Mixed-Initiative Procedural Content Generation using Level Design Patterns and Interactive Evolutionary Optimisation • [cs.NI]Minimizing the Installation Cost of Ground Stations in Satellite Networks: Complexity, Dynamic Programming and Approximation Algorithm • [cs.RO]Autonomous Planning for Multiple Aerial Cinematographers • [cs.RO]Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning • [cs.RO]Grounding Language in Play • [cs.RO]Robot Accident Investigation: a case study in Responsible Robotics • [cs.RO]Safe Motion Planning for Autonomous Driving using an Adversarial Road Model • [cs.SI]Characterizing information leaders in Twitter during COVID-19 crisis • [cs.SI]Complex Societies and the Growth of the Law • [cs.SI]Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey • [eess.AS]An Auto Encoder For Audio Dolphin Communication • [eess.AS]Context-Dependent Acoustic Modeling without Explicit Phone Clustering • [eess.AS]Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet • [eess.AS]On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors • [eess.AS]Siamese Neural Networks for Class Activity Detection • [eess.AS]Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario • [eess.IV]3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning • [eess.IV]Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution • [eess.IV]SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset • [eess.IV]Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders • [eess.IV]TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation • [eess.IV]Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement • [eess.SP]A Reconstruction-Computation-Quantization (RCQ) Approach to Node Operations in LDPC Decoding • [eess.SP]How to Make 5G Communications “Invisible”: Adversarial Machine Learning for Wireless Privacy • [eess.SY]A Minimum Energy Filter for Distributed Multirobot Localisation • [eess.SY]Optimal Robust Safety-Critical Control for Dynamic Robotics • [eess.SY]Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance • [math.PR]On approximation theorems for the Euler characteristic with applications to the bootstrap • [math.ST]Contrast estimation of general locally stationary processes using coupling • [math.ST]Graphical modeling of stochastic processes driven by correlated errors • [math.ST]Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration • [math.ST]Power laws distributions in objective priors • [math.ST]What is resolution? A statistical minimax testing perspective on super-resolution microscopy • [physics.comp-ph]Inverse design of crystals using generalized invertible crystallographic representation • [q-bio.PE]Prescribed burning effects on savanna fire spread, intensity, and predictability • [q-bio.QM]Accelerating drug repurposing for COVID-19 via modeling drug mechanism of action with large scale gene-expression profiles • [stat.AP]Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy • [stat.AP]Hierarchical Bayesian state-space modeling of age- and sex-structured wildlife population dynamics • [stat.AP]Nowcasting fatal COVID-19 infections on a regional level in Germany • [stat.AP]Optimizing SAR data processing and thresholding for forest change detection: an application for early deforestation warnings on eastern Amazonia • [stat.CO]Bayesian model inversion using stochastic spectral embedding • [stat.ME]A causal model for subgroup effects in randomized screening trials • [stat.ME]Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study • [stat.ME]Fast and Accurate Variational Inference for Models with Many Latent Variables • [stat.ME]Hierarchical causal variance decomposition for institution and provider comparisons in healthcare • [stat.ME]Model Linkage Selection for Cooperative Learning • [stat.ML]On Learnability under General Stochastic Processes • [stat.ML]Stopping criterion for active learning based on deterministic generalization bounds ····································· • [cs.AI]An Object Model for the Representation of Empirical Knowledge Joël Colloc, Danielle Boulanger http://arxiv.org/abs/2005.07464v1 • [cs.AI]Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes Asan Agibetov, Matthias Samwald http://arxiv.org/abs/2005.07654v1 • [cs.AI]DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling Tegg Taekyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Bo Ryu http://arxiv.org/abs/2005.07666v1 • [cs.AI]Exploring Crowd Co-creation Scenarios for Sketches Devi Parikh, C. Lawrence Zitnick http://arxiv.org/abs/2005.07328v1 • [cs.AI]Finding Experts in Transformer Models Xavier Suau, Luca Zappella, Nicholas Apostoloff http://arxiv.org/abs/2005.07647v1 • [cs.AI]Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error Miguel González-Duque, Rasmus Berg Palm, David Ha, Sebastian Risi http://arxiv.org/abs/2005.07677v1 • [cs.AI]Lifelong Multi-Agent Path Finding in Large-Scale Warehouses Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig http://arxiv.org/abs/2005.07371v1 • [cs.AI]MineReduce: an approach based on data mining for problem size reduction Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna http://arxiv.org/abs/2005.07415v1 • [cs.AI]Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning Thomas M. Moerland, Anna Deichler, Simone Baldi, Joost Broekens, Catholijn M. Jonker http://arxiv.org/abs/2005.07404v1 • [cs.CL]A chatbot architecture for promoting youth resilience Chester Holt-Quick, Jim Warren, Karolina Stasiak, Ruth Williams, Grant Christie, Sarah Hetrick, Sarah Hopkins, Tania Cargo, Sally Merry http://arxiv.org/abs/2005.07355v1 • [cs.CL]A pre-training technique to localize medical BERT and enhance BioBERT Shoya Wada, Toshihiro Takeda, Shiro Manabe, Shozo Konishi, Jun Kamohara, Yasushi Matsumura http://arxiv.org/abs/2005.07202v1 • [cs.CL]Adaptive Transformers for Learning Multimodal Representations Prajjwal Bhargava http://arxiv.org/abs/2005.07486v1 • [cs.CL]Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson http://arxiv.org/abs/2005.07655v1 • [cs.CL]COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter Martin Müller, Marcel Salathé, Per E Kummervold http://arxiv.org/abs/2005.07503v1 • [cs.CL]Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline David Helbig, Enrica Troiano, Roman Klinger http://arxiv.org/abs/2005.07617v1 • [cs.CL]Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig http://arxiv.org/abs/2005.07394v1 • [cs.CL]Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre Jean-Baptiste Camps, Simon Gabay, Paul Fièvre, Thibault Clérice, Florian Cafiero http://arxiv.org/abs/2005.07505v1 • [cs.CL]Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space Marko Robnik-Sikonja, Igor Mozetic http://arxiv.org/abs/2005.07456v1 • [cs.CL]Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang http://arxiv.org/abs/2005.07362v1 • [cs.CL]Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh, Thomas Wolf, Alexander M. Rush http://arxiv.org/abs/2005.07683v1 • [cs.CL]Neural Entity Linking on Technical Service Tickets Nadja Kurz, Felix Hamann, Adrian Ulges http://arxiv.org/abs/2005.07604v1 • [cs.CL]OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach Fatemah Husain http://arxiv.org/abs/2005.07297v1 • [cs.CL]Recent Advances in SQL Query Generation: A Survey Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska http://arxiv.org/abs/2005.07667v1 • [cs.CL]Spelling Error Correction with Soft-Masked BERT Shaohua Zhang, Haoran Huang, Jicong Liu, Hang Li http://arxiv.org/abs/2005.07421v1 • [cs.CL]VirAAL: Virtual Adversarial Active Learning Gregory Senay, Badr Youbi Idrissi, Marine Haziza http://arxiv.org/abs/2005.07287v1 • [cs.CR]Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic Aythami Morales, Alejandro Acien, Julian Fierrez, John V. Monaco and, Ruben Tolosana and, Ruben Vera-Rodriguez, Javier Ortega-Garcia http://arxiv.org/abs/2005.07688v1 • [cs.CR]Practical Traffic-space Adversarial Attacks on Learning-based NIDSs Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin http://arxiv.org/abs/2005.07519v1 • [cs.CV]A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp http://arxiv.org/abs/2005.07431v1 • [cs.CV]Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu http://arxiv.org/abs/2005.07310v1 • [cs.CV]Bi3D: Stereo Depth Estimation via Binary Classifications Abhishek Badki, Alejandro Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo http://arxiv.org/abs/2005.07274v1 • [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/2005.06305v2 • [cs.CV]Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation Jun Liu, Xue-Cheng Tai, Shousheng Luo http://arxiv.org/abs/2005.07476v1 • [cs.CV]DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou http://arxiv.org/abs/2005.07298v1 • [cs.CV]Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images Lei Ding, Lorenzo Bruzzone http://arxiv.org/abs/2005.07232v1 • [cs.CV]Evolved Explainable Classifications for Lymph Node Metastases Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva http://arxiv.org/abs/2005.07229v1 • [cs.CV]Exploring the Capabilities and Limits of 3D Monocular Object Detection — A Study on Simulation and Real World Data Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp http://arxiv.org/abs/2005.07424v1 • [cs.CV]Guided interactive image segmentation using machine learning and color based data set clustering Adrian Friebel, Tim Johann, Dirk Drasdo, Stefan Hoehme http://arxiv.org/abs/2005.07662v1 • [cs.CV]HNAS: Hierarchical Neural Architecture Search on Mobile Devices Xin Xia, Wenrui Ding http://arxiv.org/abs/2005.07564v1 • [cs.CV]Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study Markos Georgopoulos, Yannis Panagakis, Maja Pantic http://arxiv.org/abs/2005.07302v1 • [cs.CV]Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach Jeovane Honorio Alves, Lucas Ferrari de Oliveira http://arxiv.org/abs/2005.07669v1 • [cs.CV]Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp http://arxiv.org/abs/2005.07429v1 • [cs.CV]PrimiTect: Fast Continuous Hough Voting for Primitive Detection Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers http://arxiv.org/abs/2005.07457v1 • [cs.CV]ResMoNet: A Residual Mobile-based Network for Facial Emotion Recognition in Resource-Limited Systems Rodolfo Ferro-Pérez, Hugo Mitre-Hernandez http://arxiv.org/abs/2005.07649v1 • [cs.CV]Resisting the Distracting-factors in Pedestrian Detection Zhe Wang, Jun Wang, Yezhou Yang http://arxiv.org/abs/2005.07344v1 • [cs.CV]SUPER: A Novel Lane Detection System Pingping Lu, Chen Cui, Shaobing Xu, Huei Peng, Fan Wang http://arxiv.org/abs/2005.07277v1 • [cs.CV]Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng Ann Heng http://arxiv.org/abs/2005.07377v1 • [cs.CV]Taskology: Utilizing Task Relations at Scale Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon http://arxiv.org/abs/2005.07289v1 • [cs.CV]ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang http://arxiv.org/abs/2005.07327v1 • [cs.CY]A Risk Assessment of a Pretrial Risk Assessment Tool: Tussles, Mitigation Strategies, and Inherent Limits Marc Faddoul, Henriette Ruhrmann, Joyce Lee http://arxiv.org/abs/2005.07299v1 • [cs.CY]E-Health Sensitive Data Dissemination Exploiting Trust and Mobility of Users Agnaldo Batista, Michele Nogueira, Aldri Santos http://arxiv.org/abs/2005.07296v1 • [cs.CY]Factors in the Portability of Tokenized Assets on Distributed Ledgers Richard Barnes http://arxiv.org/abs/2005.07461v1 • [cs.CY]Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners Mohammadreza Tavakoli, Stefan T. Mol, Gábor Kismihók http://arxiv.org/abs/2005.07465v1 • [cs.CY]Machine Learning as a Catalyst for Value-Based Health Care Matthew G. Crowson, Timothy C. Y. Chan http://arxiv.org/abs/2005.07534v1 • [cs.CY]Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Jr., Vinod Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac http://arxiv.org/abs/2005.07572v1 • [cs.CY]Practice and Experience in Advanced Research Computing Brandon Barker, Susan Mehringer http://arxiv.org/abs/2005.07252v1 • [cs.DC]Efficient Distributed Algorithms for the $K$-Nearest Neighbors Problem Reza Fathi, Anisur Rahaman Molla, Gopal Pandurangan http://arxiv.org/abs/2005.07373v1 • [cs.DC]Elastic execution of checkpointed MPI applications Sumeet Gajjar, Saurabh Vaidya http://arxiv.org/abs/2005.07543v1 • [cs.DC]Input-dynamic distributed graph algorithms for congested networks Klaus-Tycho Foerster, Janne H. Korhonen, Ami Paz, Joel Rybicki, Stefan Schmid http://arxiv.org/abs/2005.07637v1 • [cs.DC]New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu http://arxiv.org/abs/2005.07338v1 • [cs.DC]Phase Transition of a Non-Linear Opinion Dynamics with Noisy Interactions Francesco d’Amore, Andrea Clementi, Emanuele Natale http://arxiv.org/abs/2005.07423v1 • [cs.DC]Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments Roman Iakymchuk, Maria Barreda, Stef Graillat, Jose I. Aliaga, Enrique S. Quintana-Orti http://arxiv.org/abs/2005.07282v1 • [cs.DC]Tight Bounds for Black Hole Search in Dynamic Rings Giuseppe Antonio Di Luna, Paola Flocchini, Giuseppe Prencipe, Nicola Santoro http://arxiv.org/abs/2005.07453v1 • [cs.DC]Time- and Space-Optimal Clock Synchronization in the Beeping Model Michael Feldmann, Ardalan Khazraei, Christian Scheideler http://arxiv.org/abs/2005.07388v1 • [cs.DC]kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows Martin Uhrin, Sebastiaan P. Huber http://arxiv.org/abs/2005.07475v1 • [cs.IR]Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras http://arxiv.org/abs/2005.07638v1 • [cs.IR]Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching B. Tahayna, M. Belkhatir http://arxiv.org/abs/2005.07356v1 • [cs.IR]The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu http://arxiv.org/abs/2005.07382v1 • [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/2005.06380v2 • [cs.IT]Batch Codes from Affine Cartesian Codes and Quotient Spaces Travis Baumbaugh, Haley Colgate, Timothy Jackman, Felice Manganiello http://arxiv.org/abs/2005.07577v1 • [cs.IT]Beamforming Through Reconfigurable Intelligent Surfaces in Single-User MIMO Systems: SNR Distribution and Scaling Laws in the Presence of Channel Fading and Phase Noise Xuewen Qian, Marco Di Renzo, Jiang Liu, Abla Kammoun, Mohamed-Slim Alouini http://arxiv.org/abs/2005.07472v1 • [cs.IT]Binary Hypothesis Testing with Deterministic Finite-Memory Decision Rules Tomer Berg, Ofer Shayevitz, Or Ordentlich http://arxiv.org/abs/2005.07445v1 • [cs.IT]Capacity per Unit-Energy of Gaussian Random Many-Access Channels Jithin Ravi, Tobias Koch http://arxiv.org/abs/2005.07436v1 • [cs.IT]Construction $C^\star$ from Self-Dual Codes Maiara Francine Bollauf, Sueli Irene Rodrigues Costa, Ram Zamir http://arxiv.org/abs/2005.07291v1 • [cs.IT]Decoding of NB-LDPC codes over Subfields V. B. Wijekoon, Emanuele Viterbo, Yi Hong http://arxiv.org/abs/2005.07352v1 • [cs.IT]Embedding Information in Radiation Pattern Fluctuations Milad Johnny, Alireza Vahid http://arxiv.org/abs/2005.07625v1 • [cs.IT]Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems Jiayu Zhou, Deli Qiao, Haifeng Qian http://arxiv.org/abs/2005.07364v1 • [cs.IT]Nearest Neighbor and Contact Distance Distribution for Binomial Point Process on Spherical Surfaces Anna Talgat, Mustafa A. Kishk, Mohamed-Slim Alouini http://arxiv.org/abs/2005.07330v1 • [cs.IT]Network Coding Based on Byte-wise Circular Shift and Integer Addition Kenneth W. Shum, Hanxu Hou http://arxiv.org/abs/2005.07336v1 • [cs.IT]Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming Wenzhi Fang, Min Fu, Yuanming Shi, Yong Zhou http://arxiv.org/abs/2005.07416v1 • [cs.IT]Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD Hongguang Sun, Howard H. Yang, Xijun Wang, Chao Xu, Tony Q. S. Quek http://arxiv.org/abs/2005.07410v1 • [cs.IT]Towards Optimal Energy Efficiency in Cell-Free Massive MIMO Systems Anastasios Papazafeiropoulos, Hien Q. Ngo, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior http://arxiv.org/abs/2005.07459v1 • [cs.LG]A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor http://arxiv.org/abs/2005.07656v1 • [cs.LG]A Distributional View on Multi-Objective Policy Optimization Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller http://arxiv.org/abs/2005.07513v1 • [cs.LG]Adaptive XGBoost for Evolving Data Streams Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet http://arxiv.org/abs/2005.07353v1 • [cs.LG]Convolutional neural networks for classification and regression analysis of one-dimensional spectral data Ine L. Jernelv, Dag Roar Hjelme, Yuji Matsuura, Astrid Aksnes http://arxiv.org/abs/2005.07530v1 • [cs.LG]Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov http://arxiv.org/abs/2005.07292v1 • [cs.LG]Efficiently Learning Adversarially Robust Halfspaces with Noise Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro http://arxiv.org/abs/2005.07652v1 • [cs.LG]Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe http://arxiv.org/abs/2005.07443v1 • [cs.LG]Initializing Perturbations in Multiple Directions for Fast Adversarial Training Xunguang Wang, Ship Peng Xu, Eric Ke Wang http://arxiv.org/abs/2005.07606v1 • [cs.LG]Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems Preetum Nakkiran http://arxiv.org/abs/2005.07360v1 • [cs.LG]Predicting User Emotional Tone in Mental Disorder Online Communities Bárbara Silveira, Fabricio Murai, Ana Paula Couto da Silva http://arxiv.org/abs/2005.07473v1 • [cs.LG]Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do http://arxiv.org/abs/2005.07308v1 • [cs.LG]Simple Sensor Intentions for Exploration Tim Hertweck, Martin Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess http://arxiv.org/abs/2005.07541v1 • [cs.LG]Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter http://arxiv.org/abs/2005.07293v1 • [cs.LG]Structural Temporal Graph Neural Networks for Anomaly Detectio 815 n in Dynamic Graphs Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen http://arxiv.org/abs/2005.07427v1 • [cs.LG]Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu http://arxiv.org/abs/2005.07347v1 • [cs.LG]Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data Athanasios Davvetas, Iraklis A. Klampanos http://arxiv.org/abs/2005.07243v1 • [cs.LG]Variational Inference as Iterative Projection in a Bayesian Hilbert Space Timothy D. Barfoot, Gabriele M. T. D’Eleuterio http://arxiv.org/abs/2005.07275v1 • [cs.NE]Evo 2020 — Late-Breaking Abstracts Volume A. M. Mora, A. I. Esparcia-Alcázar http://arxiv.org/abs/2005.07235v1 • [cs.NE]Improving Neuroevolution Using Island Extinction and Repopulation Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell http://arxiv.org/abs/2005.07376v1 • [cs.NE]Mixed-Initiative Procedural Content Generation using Level Design Patterns and Interactive Evolutionary Optimisation Sean P. Walton, Alma A. M. Rahat, James Stovold http://arxiv.org/abs/2005.07478v1 • [cs.NI]Minimizing the Installation Cost of Ground Stations in Satellite Networks: Complexity, Dynamic Programming and Approximation Algorithm Christos N. Efrem, Athanasios D. Panagopoulos http://arxiv.org/abs/2005.07498v1 • [cs.RO]Autonomous Planning for Multiple Aerial Cinematographers Luis-Evaristo Caraballo, Ángel Montes-Romero, José-Miguel Díaz-Báñez, Jesús Capitán, Arturo Torres-González, Aníbal Ollero http://arxiv.org/abs/2005.07237v1 • [cs.RO]Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz http://arxiv.org/abs/2005.07385v1 • [cs.RO]Grounding Language in Play Corey Lynch, Pierre Sermanet http://arxiv.org/abs/2005.07648v1 • [cs.RO]Robot Accident Investigation: a case study in Responsible Robotics Alan F. T. Winfield, Katie Winkle, Helena Webb, Ulrik Lyngs, Marina Jirotka, Carl Macrae http://arxiv.org/abs/2005.07474v1 • [cs.RO]Safe Motion Planning for Autonomous Driving using an Adversarial Road Model Alexander Liniger, Luc van Gool http://arxiv.org/abs/2005.07691v1 • [cs.SI]Characterizing information leaders in Twitter during COVID-19 crisis David Pastor-Escuredo, Carlota Tarazona http://arxiv.org/abs/2005.07266v1 • [cs.SI]Complex Societies and the Growth of the Law Daniel Martin Katz, Corinna Coupette, Janis Beckedorf, Dirk Hartung http://arxiv.org/abs/2005.07646v1 • [cs.SI]Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding, Bogdan Gabrys, Katarzyna Musial http://arxiv.org/abs/2005.07496v1 • [eess.AS]An Auto Encoder For Audio Dolphin Communication Daniel Kohlsdorf, Denise Herzing, Thad Starner http://arxiv.org/abs/2005.07623v1 • [eess.AS]Context-Dependent Acoustic Modeling without Explicit Phone Clustering Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney http://arxiv.org/abs/2005.07578v1 • [eess.AS]Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet Hongsheng Chen, Teng Xiang, Kai Chen, Jing Lu http://arxiv.org/abs/2005.07631v1 • [eess.AS]On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors Achintya Kumar Sarkar, Zheng-Hua Tan http://arxiv.org/abs/2005.07383v1 • [eess.AS]Siamese Neural Networks for Class Activity Detection Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu http://arxiv.org/abs/2005.07549v1 • [eess.AS]Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko http://arxiv.org/abs/2005.07272v1 • [eess.IV]3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek http://arxiv.org/abs/2005.07545v1 • [eess.IV]Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution Akella Ravi Tej, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan http://arxiv.org/abs/2005.07502v1 • [eess.IV]SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset Padmaja Jonnalagedda, Brent Weinberg, Jason Allen, Taejin L. Min, Shiv Bhanu, Bir Bhanu http://arxiv.org/abs/2005.07225v1 • [eess.IV]Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders Baurzhan Muminov, Luat T. Vuong http://arxiv.org/abs/2005.07682v1 • [eess.IV]TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen http://arxiv.org/abs/2005.07462v1 • [eess.IV]Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement Xiaoxiao Li, Xiaopeng Guo, Liye Mei, Mingyu Shang, Jie Gao, Maojing Shu, Xiang Wang http://arxiv.org/abs/2005.07343v1 • [eess.SP]A Reconstruction-Computation-Quantization (RCQ) Approach to Node Operations in LDPC Decoding Linfang Wang, Maximilian Stark, Richard D. Wesel, Gerhard Bauch http://arxiv.org/abs/2005.07259v1 • [eess.SP]How to Make 5G Communications “Invisible”: Adversarial Machine Learning for Wireless Privacy Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus http://arxiv.org/abs/2005.07675v1 • [eess.SY]A Minimum Energy Filter for Distributed Multirobot Localisation Jack Henderson, Jochen Trumpf, Mohammad Zamani http://arxiv.org/abs/2005.07303v1 • [eess.SY]Optimal Robust Safety-Critical Control for Dynamic Robotics Quan Nguyen, Koushil Sreenath http://arxiv.org/abs/2005.07284v1 • [eess.SY]Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance Ahmad Gazar, Majid Khadiv, Andrea Del Prete, Ludovic Righetti http://arxiv.org/abs/2005.07555v1 • [math.PR]On approximation theorems for the Euler characteristic with applications to the bootstrap Johannes Krebs, Benjamin Roycraft, Wolfgang Polonik http://arxiv.org/abs/2005.07557v1 • [math.ST]Contrast estimation of general locally stationary processes using coupling J. -M. Bardet, P. Doukhan, O. Wintenberger http://arxiv.org/abs/2005.07397v1 • [math.ST]Graphical modeling of stochastic processes driven by correlated errors Søren Wengel Mogensen, Niels Richard Hansen http://arxiv.org/abs/2005.07568v1 • [math.ST]Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration Yufei Yi, Matey Neykov http://arxiv.org/abs/2005.07587v1 • [math.ST]Power laws distributions in objective priors Pedro L. Ramos, Francisco A. Rodrigues, Eduardo Ramos, Dipak K. Dey, Francisco Louzada http://arxiv.org/abs/2005.07674v1 • [math.ST]What is resolution? A statistical minimax testing perspective on super-resolution microscopy Gytis Kulaitis, Axel Munk, Frank Werner http://arxiv.org/abs/2005.07450v1 • [physics.comp-ph]Inverse design of crystals using generalized invertible crystallographic representation Zekun Ren, Juhwan Noh, Siyu Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi http://arxiv.org/abs/2005.07609v1 • [q-bio.PE]Prescribed burning effects on savanna fire spread, intensity, and predictability Aristides Moustakas, Orestis Davlias http://arxiv.org/abs/2005.07593v1 • [q-bio.QM]Accelerating drug repurposing for COVID-19 via modeling drug mechanism of action with large scale gene-expression profiles Lu Han, G. C. Shan, H. Y. Wang, S. Q. Gao, W. X. Zhou http://arxiv.org/abs/2005.07567v1 • [stat.AP]Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy Krzysztof Bartoszek, Emanuele Guidotti, Stefano Maria Iacus, Marcin Okrój http://arxiv.org/abs/2005.07271v1 • [stat.AP]Hierarchical Bayesian state-space modeling of age- and sex-structured wildlife population dynamics Sabyasachi Mukhopadhyay, Hans-Peter Piepho, Sourabh Bhattacharya, Holly T. Dublin, Joseph O. Ogutu http://arxiv.org/abs/2005.07468v1 • [stat.AP]Nowcasting fatal COVID-19 infections on a regional level in Germany Marc Schneble, Giacomo De Nicola, Göran Kauermann, Ursula Berger http://arxiv.org/abs/2005.07452v1 • [stat.AP]Optimizing SAR data processing and thresholding for forest change detection: an application for early deforestation warnings on eastern Amazonia Juan Doblas http://arxiv.org/abs/2005.07334v1 • [stat.CO]Bayesian model inversion using stochastic spectral embedding P. -R. Wagner, S. Marelli, B. Sudret http://arxiv.org/abs/2005.07380v1 • [stat.ME]A causal model for subgroup effects in randomized screening trials Sudipta Saha, Zhihui Liu, Olli Saarela http://arxiv.org/abs/2005.07322v1 • [stat.ME]Evaluating methods for Lasso selective inference in biomedical research by a comparative simulation study Michael Kammer, Daniela Dunkler, Stefan Michiels, Georg Heinze http://arxiv.org/abs/2005.07484v1 • [stat.ME]Fast and Accurate Variational Inference for Models with Many Latent Variables Rubén Loaiza-Maya, Michael Stanley Smith, David J. Nott, Peter J. Danaher http://arxiv.org/abs/2005.07430v1 • [stat.ME]Hierarchical causal variance decomposition for institution and provider comparisons in healthcare Bo Chen, Olli Saarela http://arxiv.org/abs/2005.07314v1 • [stat.ME]Model Linkage Selection for Cooperative Learning Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh http://arxiv.org/abs/2005.07342v1 • [stat.ML]On Learnability under General Stochastic Processes A. Philip Dawid, Ambuj Tewari http://arxiv.org/abs/2005.07605v1 • [stat.ML]Stopping criterion for active learning based on deterministic generalization bounds* Hideaki Ishibashi, Hideitsu Hino http://arxiv.org/abs/2005.07402v1
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