astro-ph.CO - 宇宙学和天体物理学

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-fin.CP -计算金融学 q-fin.RM - 风险管理 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

    • [astro-ph.CO]Emulation of cosmological mass maps with conditional generative adversarial networks
    • [cs.AI]DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
    • [cs.AI]Symmetry as an Organizing Principle for Geometric Intelligence
    • [cs.AI]Whence the Expected Free Energy?
    • [cs.CL]Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
    • [cs.CL]AlloVera: A Multilingual Allophone Database
    • [cs.CL]Batch Clustering for Multilingual News Streaming
    • [cs.CL]Bridging Anaphora Resolution as Question Answering
    • [cs.CL]Dialogue-Based Relation Extraction
    • [cs.CL]Enriching the Transformer with Linguistic and Semantic Factors for Low-Resource Machine Translation
    • [cs.CL]Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
    • [cs.CL]Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
    • [cs.CL]Highway Transformer: Self-Gating Enhanced Self-Attentive Networks
    • [cs.CL]How recurrent networks implement contextual processing in sentiment analysis
    • [cs.CL]Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation
    • [cs.CL]Neural Approaches for Data Driven Dependency Parsing in Sanskrit
    • [cs.CL]Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
    • [cs.CL]Rigid Formats Controlled Text Generation
    • [cs.CL]Show Us the Way: Learning to Manage Dialog from Demonstrations
    • [cs.CL]Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
    • [cs.CL]Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
    • [cs.CL]Unsupervised Discovery of Implicit Gender Bias
    • [cs.CL]Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
    • [cs.CV]Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
    • [cs.CV]An integrated light management system with real-time light measurement and human perception
    • [cs.CV]Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
    • [cs.CV]Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
    • [cs.CV]Detailed 2D-3D Joint Representation for Human-Object Interaction
    • [cs.CV]Fast Soft Color Segmentation
    • [cs.CV]Generative Adversarial Networks for Video-to-Video Domain Adaptation
    • [cs.CV]IDDA: a large-scale multi-domain dataset for autonomous driving
    • [cs.CV]Image Processing Based Scene-Text Detection and Recognition with Tesseract
    • [cs.CV]Learning to Predict Context-adaptive Convolution for Semantic Segmentation
    • [cs.CV]MOPT: Multi-Object Panoptic Tracking
    • [cs.CV]Modeling Extent-of-Texture Information for Ground Terrain Recognition
    • [cs.CV]Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
    • [cs.CV]Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle
    • [cs.CV]One-vs-Rest Network-based Deep Probability Model for Open Set Recognition
    • [cs.CV]Structured Landmark Detection via Topology-Adapting Deep Graph Learning
    • [cs.CV]The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
    • [cs.CV]Transform and Tell: Entity-Aware News Image Captioning
    • [cs.CV]Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
    • [cs.CV]Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
    • [cs.CV]YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
    • [cs.CY]ECCOLA — a Method for Implementing Ethically Aligned AI Systems
    • [cs.CY]Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
    • [cs.CY]On Blockchain Metatransactions
    • [cs.DB]Duplication Detection in Knowledge Graphs: Literature and Tools
    • [cs.DB]Knowledge Scientists: Unlocking the data-driven organization
    • [cs.DC]A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)
    • [cs.DC]An Asynchronous Computability Theorem for Fair Adversaries
    • [cs.DC]Defining and Verifying Durable Opacity: Correctness for Persistent Software Transactional Memory
    • [cs.DC]Distributed Lower Bounds for Ruling Sets
    • [cs.DC]ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments
    • [cs.DS]Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
    • [cs.DS]Contention Resolution Without Collision Detection
    • [cs.DS]Maximizing Determinants under Matroid Constraints
    • [cs.HC]Smartphone camera based pointer
    • [cs.IR]Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
    • [cs.IT]A Case for Maximal Leakage as a Side Channel Leakage Metric
    • [cs.IT]A Deep Reinforcement Learning Approach for Dynamic Contents Caching in HetNets
    • [cs.IT]Beamspace Precoding and Beam Selection for Wideband Millimeter-Wave MIMO Relying on Lens Antenna Arrays
    • [cs.IT]Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity
    • [cs.IT]Computation Offloading in Heterogeneous Mobile Edge Computing with Energy Harvesting
    • [cs.LG]A stochastic approach to handle knapsack problems in the creation of ensembles
    • [cs.LG]Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
    • [cs.LG]Continuous Representation of Molecules Using Graph Variational Autoencoder
    • [cs.LG]Exploring time-series motifs through DTW-SOM
    • [cs.LG]Finding the Optimal Network Depth in Classification Tasks
    • [cs.LG]Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
    • [cs.LG]Incorporating Multiple Cluster Centers for Multi-Label Learning
    • [cs.LG]Light-Weighted CNN for Text Classification
    • [cs.LG]MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
    • [cs.LG]Meta-Meta-Classification for One-Shot Learning
    • [cs.LG]Recommendation system using a deep learning and graph analysis approach
    • [cs.LG]Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition
    • [cs.LG]Spectral Learning on Matrices and Tensors
    • [cs.LG]Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
    • [cs.LG]There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
    • [cs.LG]Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
    • [cs.LG]Triplet Loss for Knowledge Distillation
    • [cs.LG]Understanding the Difficulty of Training Transformers
    • [cs.LG]What do you Mean? The Role of the Mean Function in Bayesian Optimisation
    • [cs.LO]Intention as Commitment toward Time
    • [cs.NE]Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
    • [cs.NE]Divergent Search for Few-Shot Image Classification
    • [cs.NE]Diversity-based Design Assist for Large Legged Robots
    • [cs.NE]GEVO: GPU Code Optimization using EvolutionaryComputation
    • [cs.NI]SoK: Beyond IoT MUD Deployments — Challenges and Future Directions
    • [cs.RO]A study of influential factors in designing self-reconfigurable robots for green manufacturing
    • [cs.RO]Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
    • [cs.RO]Estimating Motion Uncertainty with Bayesian ICP
    • [cs.RO]Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education
    • [cs.RO]Robotic Room Traversal using Optical Range Finding
    • [cs.RO]STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times
    • [cs.SE]An Annotated Dataset of Stack Overflow Post Edits
    • [cs.SI]Large-scale analysis of grooming in modern social networks
    • [cs.SI]NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
    • [cs.SI]The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes
    • [econ.EM]Causal Inference in Case-Control Studies
    • [econ.EM]Identification of a class of index models: A topological approach
    • [eess.AS]How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
    • [eess.AS]SpEx: Multi-Scale Time Domain Speaker Extraction Network
    • [eess.IV]A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
    • [eess.IV]A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images
    • [eess.IV]Cascaded Context Enhancement for Automated Skin Lesion Segmentation
    • [eess.IV]Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm
    • [eess.IV]LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification
    • [eess.IV]Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
    • [eess.SP]Forecasting Multi-Dimensional Processes over Graphs
    • [eess.SP]Index Modulation-Based Flexible Non-Orthogonal Multiple Access
    • [eess.SP]RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
    • [eess.SP]Sparse-Encoded Codebook Index Modulation
    • [eess.SP]UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey
    • [eess.SY]Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles
    • [math.OC]Estimation of sparse Gaussian graphical models with hidden clustering structure
    • [math.OC]Optimal Coverage Control for Swarm Robot Systems using a Mean Field Game
    • [math.ST]Bayesian inference for high-dimensional decomposable graphs
    • [math.ST]Detection and Estimation of Local Signals
    • [physics.geo-ph]Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization
    • [physics.soc-ph]Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
    • [physics.soc-ph]ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
    • [q-bio.MN]Identification of deregulated transcription factors involved in subtypes of cancers
    • [q-fin.CP]Empirical Study of Market Impact Conditional on Order-Flow Imbalance
    • [q-fin.RM]Modeling Institutional Credit Risk with Financial News
    • [quant-ph]Decodable quantum LDPC codes beyond the $\sqrt{n}$ distance barrier using high dimensional expanders
    • [stat.AP]Short-Term Covid-19 Forecast for Latecomers
    • [stat.AP]Smaller $p$-values in genomics studies using distilled historical information
    • [stat.ME]A Transformation-free Linear Regression for Compositional Outcomes and Predictors
    • [stat.ME]A regularization approach for stable estimation of loss development factors
    • [stat.ME]Bayesian semiparametric long memory models for discretized event data
    • [stat.ME]On the usage of randomized p-values in the Schweder-Spjotvoll estimator
    • [stat.ME]The SPDE Approach to Matérn Fields: Graph Representations
    • [stat.ML]A Mean Field Games model for finite mixtures of Bernoulli distributions
    • [stat.ML]Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
    • [stat.ML]MAP segmentation in Bayesian hidden Markov models: a case study

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    • [astro-ph.CO]Emulation of cosmological mass maps with conditional generative adversarial networks
    Nathanaël Perraudin, Sandro Marcon, Aurelien Lucchi, Tomasz Kacprzak
    http://arxiv.org/abs/2004.08139v1

    • [cs.AI]DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
    Yun Zeng, Siqi Zuo, Dongcai Shen
    http://arxiv.org/abs/2004.08366v1

    • [cs.AI]Symmetry as an Organizing Principle for Geometric Intelligence
    Snejana Sheghava, Ashok Goel
    http://arxiv.org/abs/2004.07879v1

    • [cs.AI]Whence the Expected Free Energy?
    Beren Millidge, Alexander Tschantz, Christopher L Buckley
    http://arxiv.org/abs/2004.08128v1

    • [cs.CL]Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space
    Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
    http://arxiv.org/abs/2004.08046v1

    • [cs.CL]AlloVera: A Multilingual Allophone Database
    David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig
    http://arxiv.org/abs/2004.08031v1

    • [cs.CL]Batch Clustering for Multilingual News Streaming
    Mathis Linger, Mhamed Hajaiej
    http://arxiv.org/abs/2004.08123v1

    • [cs.CL]Bridging Anaphora Resolution as Question Answering
    Yufang Hou
    http://arxiv.org/abs/2004.07898v1

    • [cs.CL]Dialogue-Based Relation Extraction
    Dian Yu, Kai Sun, Claire Cardie, Dong Yu
    http://arxiv.org/abs/2004.08056v1

    • [cs.CL]Enriching the Transformer with Linguistic and Semantic Factors for Low-Resource Machine Translation
    Jordi Armengol-Estapé, Marta R. Costa-jussà, Carlos Escolano
    http://arxiv.org/abs/2004.08053v1

    • [cs.CL]Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
    Lea Dieudonat, Kelvin Han, Phyllicia Leavitt, Esteban Marquer
    http://arxiv.org/abs/2004.08371v1

    • [cs.CL]Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
    Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
    http://arxiv.org/abs/2004.08097v1

    • [cs.CL]Highway Transformer: Self-Gating Enhanced Self-Attentive Networks
    Yekun Chai, Jin Shuo, Xinwen Hou
    http://arxiv.org/abs/2004.08178v1

    • [cs.CL]How recurrent networks implement contextual processing in sentiment analysis
    Niru Maheswaranathan, David Sussillo
    http://arxiv.org/abs/2004.08013v1

    • [cs.CL]Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation
    Alireza Borjali, Martin Magneli, David Shin, Henrik Malchau, Orhun K. Muratoglu, Kartik M. Varadarajan
    http://arxiv.org/abs/2004.08333v1

    • [cs.CL]Neural Approaches for Data Driven Dependency Parsing in Sanskrit
    Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal
    http://arxiv.org/abs/2004.08076v1

    • [cs.CL]Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
    Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig
    http://arxiv.org/abs/2004.08134v1

    • [cs.CL]Rigid Formats Controlled Text Generation
    Piji Li, Haisong Zhang, Xiaojiang Liu, Shuming Shi
    http://arxiv.org/abs/2004.08022v1

    • [cs.CL]Show Us the Way: Learning to Manage Dialog from Demonstrations
    Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci
    http://arxiv.org/abs/2004.08114v1

    • [cs.CL]Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
    Yavuz Selim Kartal, Busra Guvenen, Mucahid Kutlu
    http://arxiv.org/abs/2004.08166v1

    • [cs.CL]Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
    Georg Rehm, Dimitrios Galanis, Penny Labropoulou, Stelios Piperidis, Martin Welß, Ricardo Usbeck, Joachim Köhler, Miltos Deligiannis, Katerina Gkirtzou, Johannes Fischer, Christian Chiarcos, Nils Feldhus, Julián Moreno-Schneider, Florian Kintzel, Elena Montiel, Víctor Rodríguez Doncel, John P. McCrae, David Laqua, Irina Patricia Theile, Christian Dittmar, Kalina Bontcheva, Ian Roberts, Andrejs Vasiljevs, Andis Lagzdiņš
    http://arxiv.org/abs/2004.08355v1

    • [cs.CL]Unsupervised Discovery of Implicit Gender Bias
    Anjalie Field, Yulia Tsvetkov
    http://arxiv.org/abs/2004.08361v1

    • [cs.CL]Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
    Isabelle van der Vegt, Bennett Kleinberg
    http://arxiv.org/abs/2004.08202v1

    • [cs.CV]Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
    Motoshi Abe, Junichi Miyao, Takio Kurita
    http://arxiv.org/abs/2004.08074v1

    • [cs.CV]An integrated light management system with real-time light measurement and human perception
    Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso
    http://arxiv.org/abs/2004.08346v1

    • [cs.CV]Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
    Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman
    http://arxiv.org/abs/2004.07944v1

    • [cs.CV]Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
    Zifeng Guo, Joao P. Leitao, Nuno E. Simoes, Vahid Moosavi
    http://arxiv.org/abs/2004.08340v1

    • [cs.CV]Detailed 2D-3D Joint Representation for Human-Object Interaction
    Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu
    http://arxiv.org/abs/2004.08154v1

    • [cs.CV]Fast Soft Color Segmentation
    Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
    http://arxiv.org/abs/2004.08096v1

    • [cs.CV]Generative Adversarial Networks for Video-to-Video Domain Adaptation
    Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2004.08058v1

    • [cs.CV]IDDA: a large-scale multi-domain dataset for autonomous driving
    Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo
    http://arxiv.org/abs/2004.08298v1

    • [cs.CV]Image Processing Based Scene-Text Detection and Recognition with Tesseract
    Ebin Zacharias, Martin Teuchler, Bénédicte Bernier
    http://arxiv.org/abs/2004.08079v1

    • [cs.CV]Learning to Predict Context-adaptive Convolution for Semantic Segmentation
    Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li
    http://arxiv.org/abs/2004.08222v1

    • [cs.CV]MOPT: Multi-Object Panoptic Tracking
    Juana Valeria Hurtado, Rohit Mohan, Abhinav Valada
    http://arxiv.org/abs/2004.08189v1

    • [cs.CV]Modeling Extent-of-Texture Information for Ground Terrain Recognition
    Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal
    http://arxiv.org/abs/2004.08141v1

    • [cs.CV]Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
    Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz Khan
    http://arxiv.org/abs/2004.08352v1

    • [cs.CV]Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle
    Ebin Zacharias, Didier Stricker, Martin Teuchler, Kripasindhu Sarkar
    http://arxiv.org/abs/2004.08118v1

    • [cs.CV]One-vs-Rest Network-based Deep Probability Model for Open Set Recognition
    Jaeyeon Jang, Chang Ouk Kim
    http://arxiv.org/abs/2004.08067v1

    • [cs.CV]Structured Landmark Detection via Topology-Adapting Deep Graph Learning
    Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao
    http://arxiv.org/abs/2004.08190v1

    • [cs.CV]The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
    Pablo Barros, Nikhil Churamani, Alessandra Sciutti
    http://arxiv.org/abs/2004.08195v1

    • [cs.CV]Transform and Tell: Entity-Aware News Image Captioning
    Alasdair Tran, Alexander Mathews, Lexing Xie
    http://arxiv.org/abs/2004.08070v1

    • [cs.CV]Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
    Friedrich Kruber, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
    http://arxiv.org/abs/2004.08206v1

    • [cs.CV]Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
    Avik Hati, Matteo Bustreo, Diego Sona, Vittorio Murino, Alessio Del Bue
    http://arxiv.org/abs/2004.08270v1

    • [cs.CV]YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
    Yuki Hagiwara, Toshihisa Tanaka
    http://arxiv.org/abs/2004.08066v1

    • [cs.CY]ECCOLA — a Method for Implementing Ethically Aligned AI Systems
    Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson
    http://arxiv.org/abs/2004.08377v1

    • [cs.CY]Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
    Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo
    http://arxiv.org/abs/2004.08263v1

    • [cs.CY]On Blockchain Metatransactions
    István András Seres
    http://arxiv.org/abs/2004.08094v1

    • [cs.DB]Duplication Detection in Knowledge Graphs: Literature and Tools
    Elwin Huaman, Elias Kärle, Dieter Fensel
    http://arxiv.org/abs/2004.08257v1

    • [cs.DB]Knowledge Scientists: Unlocking the data-driven organization
    George Fletcher, Paul Groth, Juan Sequeda
    http://arxiv.org/abs/2004.07917v1

    • [cs.DC]A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)
    Shashikant Ilager, Rajeev Muralidhar, Kotagiri Rammohanrao, Rajkumar Buyya
    http://arxiv.org/abs/2004.08177v1

    • [cs.DC]An Asynchronous Computability Theorem for Fair Adversaries
    Petr Kuznetsov, Thibault Rieutord, Yuan He
    http://arxiv.org/abs/2004.08348v1

    • [cs.DC]Defining and Verifying Durable Opacity: Correctness for Persistent Software Transactional Memory
    Eleni Bila, Simon Doherty, Brijesh Dongol, John Derrick, Gerhard Schellhorn, Heike Wehrheim
    http://arxiv.org/abs/2004.08200v1

    • [cs.DC]Distributed Lower Bounds for Ruling Sets
    Alkida Balliu, Sebastian Brandt, Dennis Olivetti
    http://arxiv.org/abs/2004.08282v1

    • [cs.DC]ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments
    Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Felix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer Rana, Schahram Dustdar, Rajkumar Buyya
    http://arxiv.org/abs/2004.08131v1

    • [cs.DS]Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
    Zhao Song, David P. Woodruff, Peilin Zhong
    http://arxiv.org/abs/2004.07986v1

    • [cs.DS]Contention Resolution Without Collision Detection
    Michael A. Bender, Tsvi Kopelowitz, William Kuszmaul, Seth Pettie
    http://arxiv.org/abs/2004.08039v1

    • [cs.DS]Maximizing Determinants under Matroid Constraints
    Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat
    http://arxiv.org/abs/2004.07886v1

    • [cs.HC]Smartphone camera based pointer
    Predrag Lazic
    http://arxiv.org/abs/2004.08030v1

    • [cs.IR]Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
    Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
    http://arxiv.org/abs/2004.08068v1

    • [cs.IT]A Case for Maximal Leakage as a Side Channel Leakage Metric
    Benjamin Wu, Aaron B. Wagner, G. Edward Suh
    http://arxiv.org/abs/2004.08035v1

    • [cs.IT]A Deep Reinforcement Learning Approach for Dynamic Contents Caching in HetNets
    Manyou Ma, Vincent W. S. Wong
    http://arxiv.org/abs/2004.07911v1

    • [cs.IT]Beamspace Precoding and Beam Selection for Wideband Millimeter-Wave MIMO Relying on Lens Antenna Arrays
    Wenqian Shen, Xiangyuan Bu, Xinyu Gao, Chengwen Xing, Lajos Hanzo
    http://arxiv.org/abs/2004.08071v1

    • [cs.IT]Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity
    Francisco J. Escribano, José Sáez-Landete, Alexandre Wagemakers
    http://arxiv.org/abs/2004.07653v2

    • [cs.IT]Computation Offloading in Heterogeneous Mobile Edge Computing with Energy Harvesting
    Tian Zhang, Wei Chen
    http://arxiv.org/abs/2004.08073v1

    • [cs.LG]A stochastic approach to handle knapsack problems in the creation of ensembles
    Andras Hajdu, Gyorgy Terdik, Attila Tiba, Henrietta Toman
    http://arxiv.org/abs/2004.08101v1

    • [cs.LG]Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
    Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
    http://arxiv.org/abs/2004.08151v1

    • [cs.LG]Continuous Representation of Molecules Using Graph Variational Autoencoder
    Mohammadamin Tavakoli, Pierre Baldi
    http://arxiv.org/abs/2004.08152v1

    • [cs.LG]Exploring time-series motifs through DTW-SOM
    Maria Inês Silva, Roberto Henriques
    http://arxiv.org/abs/2004.08176v1

    • [cs.LG]Finding the Optimal Network Depth in Classification Tasks
    Bartosz Wójcik, Maciej Wołczyk, Klaudia Bałazy, Jacek Tabor
    http://arxiv.org/abs/2004.08172v1

    • [cs.LG]Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
    Aditi Mavalankar
    http://arxiv.org/abs/2004.08356v1

    • [cs.LG]Incorporating Multiple Cluster Centers for Multi-Label Learning
    Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
    http://arxiv.org/abs/2004.08113v1

    • [cs.LG]Light-Weighted CNN for Text Classification
    Ritu Yadav
    http://arxiv.org/abs/2004.07922v1

    • [cs.LG]MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
    Dmitry Kazhdan, Zohreh Shams, Pietro Liò
    http://arxiv.org/abs/2004.07928v1

    • [cs.LG]Meta-Meta-Classification for One-Shot Learning
    Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
    http://arxiv.org/abs/2004.08083v1

    • [cs.LG]Recommendation system using a deep learning and graph analysis approach
    Mahdi Kherad, Amir Jalaly Bidgoly
    http://arxiv.org/abs/2004.08100v1

    • [cs.LG]Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition
    Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Bakalos, Nikolaos Doulamis
    http://arxiv.org/abs/2004.08153v1

    • [cs.LG]Spectral Learning on Matrices and Tensors
    Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
    http://arxiv.org/abs/2004.07984v1

    • [cs.LG]Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
    Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
    http://arxiv.org/abs/2004.08085v1

    • [cs.LG]There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
    Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
    http://arxiv.org/abs/2004.07790v2

    • [cs.LG]Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting
    Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane Macfarlane
    http://arxiv.org/abs/2004.08038v1

    • [cs.LG]Triplet Loss for Knowledge Distillation
    Hideki Oki, Motoshi Abe, Junichi Miyao, Takio Kurita
    http://arxiv.org/abs/2004.08116v1

    • [cs.LG]Understanding the Difficulty of Training Transformers
    Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han
    http://arxiv.org/abs/2004.08249v1

    • [cs.LG]What do you Mean? The Role of the Mean Function in Bayesian Optimisation
    George De Ath, Jonathan E. Fieldsend, Richard M. Everson
    http://arxiv.org/abs/2004.08349v1

    • [cs.LO]Intention as Commitment toward Time
    Marc van Zee, Dragan Doder, Leendert van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit
    http://arxiv.org/abs/2004.08144v1

    • [cs.NE]Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
    Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni
    http://arxiv.org/abs/2004.08170v1

    • [cs.NE]Divergent Search for Few-Shot Image Classification
    Jeremy Tan, Bernhard Kainz
    http://arxiv.org/abs/2004.07903v1

    • [cs.NE]Diversity-based Design Assist for Large Legged Robots
    David Howard, Thomas Lowe, Wade Geles
    http://arxiv.org/abs/2004.08057v1

    • [cs.NE]GEVO: GPU Code Optimization using EvolutionaryComputation
    Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu
    http://arxiv.org/abs/2004.08140v1

    • [cs.NI]SoK: Beyond IoT MUD Deployments — Challenges and Future Directions
    Angelo Feraudo, Poonam Yadav, Richard Mortier, Paolo Bellavista, Jon Crowcroft
    http://arxiv.org/abs/2004.08003v1

    • [cs.RO]A study of influential factors in designing self-reconfigurable robots for green manufacturing
    Mahdi Fahmideh, Thorsten Lammers
    http://arxiv.org/abs/2004.08024v1

    • [cs.RO]Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
    Keuntaek Lee, Bogdan Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou
    http://arxiv.org/abs/2004.08051v1

    • [cs.RO]Estimating Motion Uncertainty with Bayesian ICP
    Fahira Afzal Maken, Fabio Ramos, Lionel Ott
    http://arxiv.org/abs/2004.07973v1

    • [cs.RO]Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education
    Patrick Scheffe, Janis Maczijewski, Maximilian Kloock, Alexandru Kampmann, Andreas Derks, Stefan Kowalewski, Bassam Alrifaee
    http://arxiv.org/abs/2004.08364v1

    • [cs.RO]Robotic Room Traversal using Optical Range Finding
    Cole Smith, Eric Lin, Dennis Shasha
    http://arxiv.org/abs/2004.08368v1

    • [cs.RO]STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times
    Oriana Peltzer, Kyle Brown, Mac Schwager, Mykel J. Kochenderfer, Martin Sehr
    http://arxiv.org/abs/2004.08025v1

    • [cs.SE]An Annotated Dataset of Stack Overflow Post Edits
    Sebastian Baltes, Markus Wagner
    http://arxiv.org/abs/2004.08193v1

    • [cs.SI]Large-scale analysis of grooming in modern social networks
    Nikolaos Lykousas, Constantinos Patsakis
    http://arxiv.org/abs/2004.08205v1

    • [cs.SI]NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
    Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
    http://arxiv.org/abs/2004.08145v1

    • [cs.SI]The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes
    Andrew Daw, Antonio Castellanos, Galit B. Yom-Tov, Jamol Pender, Leor Gruendlinger
    http://arxiv.org/abs/2004.07861v1

    • [econ.EM]Causal Inference in Case-Control Studies
    Sung Jae Jun, Sokbae Lee
    http://arxiv.org/abs/2004.08318v1

    • [econ.EM]Identification of a class of index models: A topological approach
    Mogens Fosgerau, Dennis Kristensen
    http://arxiv.org/abs/2004.07900v1

    • [eess.AS]How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
    George Sterpu, Christian Saam, Naomi Harte
    http://arxiv.org/abs/2004.08250v1

    • [eess.AS]SpEx: Multi-Scale Time Domain Speaker Extraction Network
    Chenglin Xu, Wei Rao, Eng Siong Chng, Haizhou Li
    http://arxiv.org/abs/2004.08326v1

    • [eess.IV]A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
    Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek, Marius Staring
    http://arxiv.org/abs/2004.08122v1

    • [eess.IV]A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images
    Mohammad Rahimzadeh, Abolfazl Attar
    http://arxiv.org/abs/2004.08052v1

    • [eess.IV]Cascaded Context Enhancement for Automated Skin Lesion Segmentation
    Ruxin Wang, Shuyuan Chen, Jianping Fan, Ye Li
    http://arxiv.org/abs/2004.08107v1

    • [eess.IV]Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm
    Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio
    http://arxiv.org/abs/2004.08345v1

    • [eess.IV]LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification
    Rui Li, Chenxi Duan
    http://arxiv.org/abs/2004.08112v1

    • [eess.IV]Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
    Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta, Tomi Westerlund
    http://arxiv.org/abs/2004.08108v1

    • [eess.SP]Forecasting Multi-Dimensional Processes over Graphs
    Alberto Natali, Elvin Isufi, Geert Leus
    http://arxiv.org/abs/2004.08260v1

    • [eess.SP]Index Modulation-Based Flexible Non-Orthogonal Multiple Access
    Emre Arslan, Ali Tugberk Dogukan, Ertu
    7bb4
    grul Basar
    http://arxiv.org/abs/2004.08317v1

    • [eess.SP]RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
    Sricharan Vijayarangan, Vignesh R, Balamurali Murugesan, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
    http://arxiv.org/abs/2004.08103v1

    • [eess.SP]Sparse-Encoded Codebook Index Modulation
    Emre Arslan, Ali Tugberk Dogukan, Ertugrul Basar
    http://arxiv.org/abs/2004.08330v1

    • [eess.SP]UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey
    Wang Shule, Carmen Martínez Almansa, Jorge Peña Queralta, Zhuo Zou, Tomi Westerlund
    http://arxiv.org/abs/2004.08174v1

    • [eess.SY]Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles
    Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Ragunathan, Rajkumar, Chen-Fang Chang
    http://arxiv.org/abs/2004.07980v1

    • [math.OC]Estimation of sparse Gaussian graphical models with hidden clustering structure
    Meixia Lin, Defeng Sun, Kim-Chuan Toh, Chengjing Wang
    http://arxiv.org/abs/2004.08115v1

    • [math.OC]Optimal Coverage Control for Swarm Robot Systems using a Mean Field Game
    Daisuke Inoue, Hiroaki Yoshida
    http://arxiv.org/abs/2004.07994v1

    • [math.ST]Bayesian inference for high-dimensional decomposable graphs
    Kyoungjae Lee, Xuan Cao
    http://arxiv.org/abs/2004.08102v1

    • [math.ST]Detection and Estimation of Local Signals
    Xiao Fang, David Siegmund
    http://arxiv.org/abs/2004.08159v1

    • [physics.geo-ph]Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization
    Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann
    http://arxiv.org/abs/2004.07871v1

    • [physics.soc-ph]Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
    Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza, Alessandro Vezzani
    http://arxiv.org/abs/2004.07902v1

    • [physics.soc-ph]ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
    Shahar Somin, Goren Gordon, Alex Pentland, Erez Shmueli, Yaniv Altshuler
    http://arxiv.org/abs/2004.08201v1

    • [q-bio.MN]Identification of deregulated transcription factors involved in subtypes of cancers
    Magali Champion, Julien Chiquet, Pierre Neuvial, Mohamed Elati, François Radvanyi, Etienne Birmelé
    http://arxiv.org/abs/2004.08312v1

    • [q-fin.CP]Empirical Study of Market Impact Conditional on Order-Flow Imbalance
    Anastasia Bugaenko
    http://arxiv.org/abs/2004.08290v1

    • [q-fin.RM]Modeling Institutional Credit Risk with Financial News
    Tam Tran-The
    http://arxiv.org/abs/2004.08204v1

    • [quant-ph]Decodable quantum LDPC codes beyond the $\sqrt{n}$ distance barrier using high dimensional expanders
    Shai Evra, Tali Kaufman, Gilles Zémor
    http://arxiv.org/abs/2004.07935v1

    • [stat.AP]Short-Term Covid-19 Forecast for Latecomers
    Marcelo Medeiros, Alexandre Street, Davi Valladão, Gabriel Vasconcelos, Eduardo Zilberman
    http://arxiv.org/abs/2004.07977v1

    • [stat.AP]Smaller $p$-values in genomics studies using distilled historical information
    Jordan G. Bryan, Peter D. Hoff
    http://arxiv.org/abs/2004.07887v1

    • [stat.ME]A Transformation-free Linear Regression for Compositional Outcomes and Predictors
    Jacob Fiksel, Scott Zeger, Abhirup Datta
    http://arxiv.org/abs/2004.07881v1

    • [stat.ME]A regularization approach for stable estimation of loss development factors
    Himchan Jeong, Hyunwoong Chang, Emiliano A. Valdez
    http://arxiv.org/abs/2004.08032v1

    • [stat.ME]Bayesian semiparametric long memory models for discretized event data
    Antik Chakraborty, Otso Ovaskainen, David B. Dunson
    http://arxiv.org/abs/2004.08309v1

    • [stat.ME]On the usage of randomized p-values in the Schweder-Spjotvoll estimator
    Anh-Tuan Hoang, Thorsten Dickhaus
    http://arxiv.org/abs/2004.08256v1

    • [stat.ME]The SPDE Approach to Matérn Fields: Graph Representations
    Daniel Sanz-Alonso, Ruiyi Yang
    http://arxiv.org/abs/2004.08000v1

    • [stat.ML]A Mean Field Games model for finite mixtures of Bernoulli distributions
    Laura Aquilanti, Simone Cacace, Fabio Camilli, Raul De Maio
    http://arxiv.org/abs/2004.08119v1

    • [stat.ML]Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
    Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2004.08217v1

    • [stat.ML]MAP segmentation in Bayesian hidden Markov models: a case study
    Alexey Koloydenko, Kristi Kuljus, Jüri Lember
    http://arxiv.org/abs/2004.08336v1