cs.AI - 人工智能

    cs.AR - 硬件体系结构 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.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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 math-ph - 数学物理 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Diseño e implementación de una meta-heurística multi-poblacional de optimización combinatoria enfocada a la resolución de problemas de asignación de rutas a vehículos
    • [cs.AR]Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
    • [cs.CL]Adversarial Multi-Binary Neural Network for Multi-class Classification
    • [cs.CL]BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
    • [cs.CL]Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
    • [cs.CL]Learning Syntactic and Dynamic Selective Encoding for Document Summarization
    • [cs.CL]SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
    • [cs.CL]XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
    • [cs.CV]A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
    • [cs.CV]A Survey of Methods for Low-Power Deep Learning and Computer Vision
    • [cs.CV]A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
    • [cs.CV]A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
    • [cs.CV]ASFD: Automatic and Scalable Face Detector
    • [cs.CV]Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
    • [cs.CV]BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
    • [cs.CV]Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment
    • [cs.CV]Circumventing Outliers of AutoAugment with Knowledge Distillation
    • [cs.CV]Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
    • [cs.CV]DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
    • [cs.CV]Data Uncertainty Learning in Face Recognition
    • [cs.CV]Deformable Style Transfer
    • [cs.CV]Fisheye Distortion Rectification from Deep Straight Lines
    • [cs.CV]Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
    • [cs.CV]G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
    • [cs.CV]GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
    • [cs.CV]HP2IFS: Head Pose estimation exploiting Partitioned Iterated Function Systems
    • [cs.CV]Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset
    • [cs.CV]Improved Techniques for Training Single-Image GANs
    • [cs.CV]Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
    • [cs.CV]Learning What to Learn for Video Object Segmentation
    • [cs.CV]Multiscale Sparsifying Transform Learning for Image Denoising
    • [cs.CV]PADS: Policy-Adapted Sampling for Visual Similarity Learning
    • [cs.CV]PiP: Planning-informed Trajectory Prediction for Autonomous Driving
    • [cs.CV]Prior-enlightened and Motion-robust Video Deblurring
    • [cs.CV]Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
    • [cs.CV]SCATTER: Selective Context Attentional Scene Text Recognizer
    • [cs.CV]SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection
    • [cs.CV]Training Binary Neural Networks with Real-to-Binary Convolutions
    • [cs.CV]Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
    • [cs.CV]What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
    • [cs.CY]AI loyalty: A New Paradigm for Aligning Stakeholder Interests
    • [cs.CY]Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy
    • [cs.CY]Mapping the Landscape of Artificial Intelligence Applications against COVID-19
    • [cs.DC]A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find
    • [cs.DC]Dynamo — Handling Scientific Data Across Sites and Storage Media
    • [cs.DC]NVMe and PCIe SSD Monitoring in Hyperscale Data Centers
    • [cs.DC]Next-Generation Information Technology Systems for Fast Detectors in Electron Microscop
    • [cs.DC]On the scalability of CFD tool for supersonic jet flow configurations
    • [cs.DC]Overview of the IBM Neural Computer Architecture
    • [cs.DL]Covid-19 Tweeting in English: Gender Differences
    • [cs.DS]Efficient Algorithms for Multidimensional Segmented Regression
    • [cs.IR]Multi-faceted Trust-based Collaborative Filtering
    • [cs.IR]Session-based Suggestion of Topics for Geographic Exploratory Search
    • [cs.IT]A Review of Methods for Estimating Algorithmic Complexity: Options, and Challenges
    • [cs.IT]Analog MIMO RoC Passive Relay for Indoor Deployments of Wireless Networks
    • [cs.IT]Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
    • [cs.IT]Dihedral codes with prescribed minimum distance
    • [cs.IT]Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering
    • [cs.IT]Robust and Secure Beamforming for Intelligent Reflecting Surface Aided mmWave MISO Systems
    • [cs.LG]A Unified Framework for Multiclass and Multilabel Support Vector Machines
    • [cs.LG]A multivariate water quality parameter prediction model using recurrent neural network
    • [cs.LG]Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule
    • [cs.LG]Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
    • [cs.LG]AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
    • [cs.LG]Bayesian Sparsification Methods for Deep Complex-valued Networks
    • [cs.LG]Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
    • [cs.LG]Boosting Ridge Regression for High Dimensional Data Classification
    • [cs.LG]Born-Again Tree Ensembles
    • [cs.LG]Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence
    • [cs.LG]Data Parallelism in Training Sparse Neural Networks
    • [cs.LG]Discriminative Viewer Identification using Generative Models of Eye Gaze
    • [cs.LG]Dynamic Narrowing of VAE Bottlenecks Using GECO and $L_0$ Regularization
    • [cs.LG]ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
    • [cs.LG]FastDTW is approximate and Generally Slower than the Algorithm it Approximates
    • [cs.LG]Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
    • [cs.LG]Generalized Canonical Correlation Analysis: A Subspace Intersection Approach
    • [cs.LG]Incorporating User’s Preference into Attributed Graph Clustering
    • [cs.LG]Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
    • [cs.LG]Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
    • [cs.LG]Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
    • [cs.LG]MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection
    • [cs.LG]Not all domains are equally complex: Adaptive Multi-Domain Learning
    • [cs.LG]Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
    • [cs.LG]Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
    • [cs.LG]Preferential Batch Bayesian Optimization
    • [cs.LG]Robustness Analysis of the Data-Selective Volterra NLMS Algorithm
    • [cs.LG]Safety-Aware Hardening of 3D Object Detection Neural Network Systems
    • [cs.LG]Scalable Variational Gaussian Process Regression Networks
    • [cs.LG]Similarity of Neural Networks with Gradients
    • [cs.LG]VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
    • [cs.LG]Volumization as a Natural Generalization of Weight Decay
    • [cs.MM]How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric
    • [cs.NE]Derivation of Coupled PCA and SVD Learning Rules from a Newton Zero-Finding Framework
    • [cs.NE]Safe Crossover of Neural Networks Through Neuron Alignment
    • [cs.NE]Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
    • [cs.PL]Context-Aware Parse Trees
    • [cs.RO]A Socially Adaptable Framework for Human-Robot Interaction
    • [cs.RO]Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning
    • [cs.RO]Aerial Imagery based LIDAR Localization for Autonomous Vehicles
    • [cs.RO]An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems
    • [cs.RO]Commentaries on “Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception” [Science Robotics Vol. 4 Issue 30 (2019) 1-10
    • [cs.RO]DevSecOps in Robotics
    • [cs.RO]Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task
    • [cs.RO]Fast and resilient manipulation planning for target retrieval in clutter
    • [cs.RO]Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems
    • [cs.RO]Merging Position and Orientation Motion Primitives
    • [cs.RO]Privacy at Home: an Inquiry into Sensors and Robots for the Stay at Home Elderly
    • [cs.RO]Removing Dynamic Objects for Static Scene Reconstruction using Light Fields
    • [cs.RO]Visual-Inertial Telepresence for Aerial Manipulation
    • [cs.SD]COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
    • [cs.SI]A Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives
    • [cs.SI]Large-scale network analysis reveals cheating spreads through victimization and observation
    • [cs.SI]What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?
    • [eess.IV]COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
    • [eess.IV]Content Adaptive and Error Propagation Aware Deep Video Compression
    • [eess.IV]ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images
    • [eess.IV]Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
    • [math-ph]Spectra of Perfect State Transfer Hamiltonians on Fractal-Like Graphs
    • [math.CO]On the Classification of Motions of Paradoxically Movable Graphs
    • [math.OC]Zeroth-order Optimization on Riemannian Manifolds
    • [math.PR]A diffusion approach to Stein’s method on Riemannian manifolds
    • [math.PR]Multivariate fractional phase—type distributions
    • [math.ST]Model Checking for Parametric Ordinary Differential Equations System
    • [math.ST]On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions
    • [math.ST]Weighted directed networks with a differentially private bi-degree sequence
    • [q-bio.PE]Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19
    • [q-bio.QM]A spatially explicit impact assessment of road characteristics, road-induced fragmentation and noise on bird species in Cyprus
    • [stat.AP]A novel discrete grey seasonal model and its applications
    • [stat.AP]Modeling and simulating depositional sequences using latent Gaussian random fields
    • [stat.AP]Probabilistic forecasting approaches for extreme NO$_2$ episodes: a comparison of models
    • [stat.ME]A Poisson Kalman Filter to Control the Dynamics of Neonatal Sepsis and Postinfectious Hydrocephalus
    • [stat.ME]Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
    • [stat.ME]Missing at Random or Not: A Semiparametric Testing Approach
    • [stat.ME]Orthogonal Impulse Response Analysis in Presence of Time-Varying Covariance
    • [stat.ME]Partial least squares for sparsely observed curves with measurement errors
    • [stat.ML]Design-unbiased statistical learning in survey sampling
    • [stat.ML]Dimension Independent Generalization Error with Regularized Online Optimization

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    • [cs.AI]Diseño e implementación de una meta-heurística multi-poblacional de optimización combinatoria enfocada a la resolución de problemas de asignación de rutas a vehículos
    Eneko Osaba
    http://arxiv.org/abs/2003.11393v1

    • [cs.AR]Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
    Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
    http://arxiv.org/abs/2003.11455v1

    • [cs.CL]Adversarial Multi-Binary Neural Network for Multi-class Classification
    Haiyang Xu, Junwen Chen, Kun Han, Xiangang Li
    http://arxiv.org/abs/2003.11184v1

    • [cs.CL]BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
    Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung
    http://arxiv.org/abs/2003.11459v1

    • [cs.CL]Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
    Claudia Schulz, Damir Juric
    http://arxiv.org/abs/2003.11082v1

    • [cs.CL]Learning Syntactic and Dynamic Selective Encoding for Document Summarization
    Haiyang Xu, Yahao He, Kun Han, Junwen Chen, Xiangang Li
    http://arxiv.org/abs/2003.11173v1

    • [cs.CL]SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
    Xiaoya Li, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2
    81a
    003.09833v1
    81a
    003.09833v1)

    • [cs.CL]XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
    Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson
    http://arxiv.org/abs/2003.11080v1

    • [cs.CV]A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
    Hongfeng You, Shengwei Tian, Long Yu, Xiang Ma, Yan Xing, Ning Xin
    http://arxiv.org/abs/2003.11213v1

    • [cs.CV]A Survey of Methods for Low-Power Deep Learning and Computer Vision
    Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
    http://arxiv.org/abs/2003.11066v1

    • [cs.CV]A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
    Saeed Anwar, Nick Barnes, Lars Petersson
    http://arxiv.org/abs/2003.11154v1

    • [cs.CV]A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
    Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen
    http://arxiv.org/abs/2003.11291v1

    • [cs.CV]ASFD: Automatic and Scalable Face Detector
    Bin Zhang, Jian Li, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yili Xia, Wenjiang Pei, Rongrong Ji
    http://arxiv.org/abs/2003.11228v1

    • [cs.CV]Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study
    Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang
    http://arxiv.org/abs/2003.11145v1

    • [cs.CV]BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
    Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le
    http://arxiv.org/abs/2003.11142v1

    • [cs.CV]Bootstrapping Weakly Supervised Segmentation-free Word Spotting through HMM-based Alignment
    Tomas Wilkinson, Carl Nettelblad
    http://arxiv.org/abs/2003.11087v1

    • [cs.CV]Circumventing Outliers of AutoAugment with Knowledge Distillation
    Longhui Wei, An Xiao, Lingxi Xie, Xin Chen, Xiaopeng Zhang, Qi Tian
    http://arxiv.org/abs/2003.11342v1

    • [cs.CV]Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
    Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn
    http://arxiv.org/abs/2003.11303v1

    • [cs.CV]DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification
    Rixing Zhu, Jianwu Fang, Hongke Xu, Hongkai Yu, Jianru Xue
    http://arxiv.org/abs/2003.11315v1

    • [cs.CV]Data Uncertainty Learning in Face Recognition
    Jie Chang, Zhonghao Lan, Changmao Cheng, Yichen Wei
    http://arxiv.org/abs/2003.11339v1

    • [cs.CV]Deformable Style Transfer
    Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich
    http://arxiv.org/abs/2003.11038v1

    • [cs.CV]Fisheye Distortion Rectification from Deep Straight Lines
    Zhu-Cun Xue, Nan Xue, Gui-Song Xia
    http://arxiv.org/abs/2003.11386v1

    • [cs.CV]Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
    Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng
    http://arxiv.org/abs/2003.11163v1

    • [cs.CV]G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
    Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis
    http://arxiv.org/abs/2003.11089v1

    • [cs.CV]GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
    Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang
    http://arxiv.org/abs/2003.11236v1

    • [cs.CV]HP2IFS: Head Pose estimation exploiting Partitioned Iterated Function Systems
    Carmen Bisogni, Michele Nappi, Chiara Pero, Stefano Ricciardi
    http://arxiv.org/abs/2003.11536v1

    • [cs.CV]Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset
    Yiwen Hua, Puneet Kohli, Pritish Uplavikar, Anand Ravi, Saravana Gunaseelan, Jason Orozco, Edward Li
    http://arxiv.org/abs/2003.11172v1

    • [cs.CV]Improved Techniques for Training Single-Image GANs
    Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter
    http://arxiv.org/abs/2003.11512v1

    • [cs.CV]Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
    Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, Clinton Fookes
    http://arxiv.org/abs/2003.11136v1

    • [cs.CV]Learning What to Learn for Video Object Segmentation
    Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2003.11540v1

    • [cs.CV]Multiscale Sparsifying Transform Learning for Image Denoising
    Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Neda Noormohammadi
    http://arxiv.org/abs/2003.11265v1

    • [cs.CV]PADS: Policy-Adapted Sampling for Visual Similarity Learning
    Karsten Roth, Timo Milbich, Björn Ommer
    http://arxiv.org/abs/2003.11113v1

    • [cs.CV]PiP: Planning-informed Trajectory Prediction for Autonomous Driving
    Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen
    http://arxiv.org/abs/2003.11476v1

    • [cs.CV]Prior-enlightened and Motion-robust Video Deblurring
    Ya Zhou, Jianfeng Xu, Kazuyuki Tasakab, Zhibo Chen, Weiping Li
    http://arxiv.org/abs/2003.11209v1

    • [cs.CV]Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
    Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
    http://arxiv.org/abs/2003.11539v1

    • [cs.CV]SCATTER: Selective Context Attentional Scene Text Recognizer
    Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha
    http://arxiv.org/abs/2003.11288v1

    • [cs.CV]SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection
    Zhuoping Yu, Zhong Gao, Hansheng Chen, Yuyao Huang
    http://arxiv.org/abs/2003.11337v1

    • [cs.CV]Training Binary Neural Networks with Real-to-Binary Convolutions
    Brais Martinez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
    http://arxiv.org/abs/2003.11535v1

    • [cs.CV]Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
    Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka
    http://arxiv.org/abs/2003.11211v1

    • [cs.CV]What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
    Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
    http://arxiv.org/abs/2003.11241v1

    • [cs.CY]AI loyalty: A New Paradigm for Aligning Stakeholder Interests
    Anthony Aguirre, Gaia Dempsey, Harry Surden, Peter B. Reiner
    http://arxiv.org/abs/2003.11157v1

    • [cs.CY]Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy
    Christopher Starke, Marco Luenich
    http://arxiv.org/abs/2003.11320v1

    • [cs.CY]Mapping the Landscape of Artificial Intelligence Applications against COVID-19
    Joseph Bullock, Alexandra, Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz
    http://arxiv.org/abs/2003.11336v1

    • [cs.DC]A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find
    James S. Willis, Matthieu Schaller, Pedro Gonnet, John C. Helly
    http://arxiv.org/abs/2003.11468v1

    • [cs.DC]Dynamo — Handling Scientific Data Across Sites and Storage Media
    Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov, Christoph Paus
    http://arxiv.org/abs/2003.11409v1

    • [cs.DC]NVMe and PCIe SSD Monitoring in Hyperscale Data Centers
    Nikhil Khatri, Shirshendu Chakrabarti
    http://arxiv.org/abs/2003.11267v1

    • [cs.DC]Next-Generation Information Technology Systems for Fast Detectors in Electron Microscop
    Dieter Weber, Alexander Clausen, Rafal E. Dunin-Borkowski
    http://arxiv.org/abs/2003.11332v1

    • [cs.DC]On the scalability of CFD tool for supersonic jet flow configurations
    Carlos Junqueira-Junior, João Luiz F. Azevedo, Jairo Panetta, William R. Wolf, Sami Yamouni
    http://arxiv.org/abs/2003.09926v1

    • [cs.DC]Overview of the IBM Neural Computer Architecture
    Pritish Narayanan, Charles E. Cox, Alexis Asseman, Nicolas Antoine, Harald Huels, Winfried W. Wilcke, Ahmet S. Ozcan
    http://arxiv.org/abs/2003.11178v1

    • [cs.DL]Covid-19 Tweeting in English: Gender Differences
    Mike Thelwall, Saheeda Thelwall
    http://arxiv.org/abs/2003.11090v1

    • [cs.DS]Efficient Algorithms for Multidimensional Segmented Regression
    Ilias Diakonikolas, Jerry Li, Anastasia Voloshinov
    http://arxiv.org/abs/2003.11086v1

    • [cs.IR]Multi-faceted Trust-based Collaborative Filtering
    Noemi Mauro, Liliana Ardissono, Zhongli Filippo Hu
    http://arxiv.org/abs/2003.11445v1

    • [cs.IR]Session-based Suggestion of Topics for Geographic Exploratory Search
    Noemi Mauro, Liliana Ardissono
    http://arxiv.org/abs/2003.11314v1

    • [cs.IT]A Review of Methods for Estimating Algorithmic Complexity: Options, and Challenges
    Hector Zenil
    http://arxiv.org/abs/2003.11044v1

    • [cs.IT]Analog MIMO RoC Passive Relay for Indoor Deployments of Wireless Networks
    A. Matera, V. Rampa, M. Donati, A. Colamonico, A. F. Cattoni, U. Spagnolini
    http://arxiv.org/abs/2003.11404v1

    • [cs.IT]Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
    Eyal Nitzan, Topi Halme, Visa Koivunen
    http://arxiv.org/abs/2003.11062v1

    • [cs.IT]Dihedral codes with prescribed minimum distance
    Martino Borello, Abdelillah Jamous
    http://arxiv.org/abs/2003.11125v1

    • [cs.IT]Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering
    Nazar Emirov, Cheng Cheng, Junzheng Jiang, Qiyu Sun
    http://arxiv.org/abs/2003.11152v1

    • [cs.IT]Robust and Secure Beamforming for Intelligent Reflecting Surface Aided mmWave MISO Systems
    Xingbo Lu, Weiwei Yang, Xinrong Guan, Qingqing Wu, Yueming Cai
    http://arxiv.org/abs/2003.11195v1

    • [cs.LG]A Unified Framework for Multiclass and Multilabel Support Vector Machines
    Hoda Shajari, Anand Rangarajan
    http://arxiv.org/abs/2003.11197v1

    • [cs.LG]A multivariate water quality parameter prediction model using recurrent neural network
    Dhruti Dheda, Ling Cheng
    http://arxiv.org/abs/2003.11492v1

    • [cs.LG]Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule
    Thanh Tung Khuat, Bogdan Gabrys
    http://arxiv.org/abs/2003.11333v1

    • [cs.LG]Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
    Jun Yang, Fei Wang
    http://arxiv.org/abs/2003.11266v1

    • [cs.LG]AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
    Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
    http://arxiv.org/abs/2003.11235v1

    • [cs.LG]Bayesian Sparsification Methods for Deep Complex-valued Networks
    Ivan Nazarov, Evgeny Burnaev
    http://arxiv.org/abs/2003.11413v1

    • [cs.LG]Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
    Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
    http://arxiv.org/abs/2003.11126v1

    • [cs.LG]Boosting Ridge Regression for High Dimensional Data Classification
    Jakramate Bootkrajang
    http://arxiv.org/abs/2003.11283v1

    • [cs.LG]Born-Again Tree Ensembles
    Thibaut Vidal, Toni Pacheco, Maximilian Schiffer
    http://arxiv.org/abs/2003.11132v1

    • [cs.LG]Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence
    Abhishek Gupta, William B. Haskell
    http://arxiv.org/abs/2003.11403v1

    • [cs.LG]Data Parallelism in Training Sparse Neural Networks
    Namhoon Lee, Philip H. S. Torr, Martin Jaggi
    http://arxiv.org/abs/2003.11316v1

    • [cs.LG]Discriminative Viewer Identification using Generative Models of Eye Gaze
    Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer
    http://arxiv.org/abs/2003.11399v1

    • [cs.LG]Dynamic Narrowing of VAE Bottlenecks Using GECO and $L_0$ Regularization
    Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
    http://arxiv.org/abs/2003.10901v2

    • [cs.LG]ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
    Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
    http://arxiv.org/abs/2003.11256v1

    • [cs.LG]FastDTW is approximate and Generally Slower than the Algorithm it Approximates
    Renjie Wu, Eamonn J. Keogh
    http://arxiv.org/abs/2003.11246v1

    • [cs.LG]Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
    Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley
    http://arxiv.org/abs/2003.11164v1

    • [cs.LG]Generalized Canonical Correlation Analysis: A Subspace Intersection Approach
    Mikael Sørensen, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
    http://arxiv.org/abs/2003.11205v1

    • [cs.LG]Incorporating User’s Preference into Attributed Graph Clustering
    Wei Ye, Dominik Mautz, Christian Boehm, Ambuj Singh, Claudia Plant
    http://arxiv.org/abs/2003.11079v1

    • [cs.LG]Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
    Satya Narayan Shukla, Benjamin M. Marlin
    http://arxiv.org/abs/2003.11059v1

    • [cs.LG]Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
    Hansenclever F. Bassani, Renie A. Delgado, Jose Nilton de O. Lima Junior, Heitor R. Medeiros, Pedro H. M. Braga, Alain Tapp
    http://arxiv.org/abs/2003.11102v1

    • [cs.LG]Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
    Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
    http://arxiv.org/abs/2003.11227v1

    • [cs.LG]MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection
    Rui She, Pingyi Fan
    http://arxiv.org/abs/2003.11285v1

    • [cs.LG]Not all domains are equally complex: Adaptive Multi-Domain Learning
    Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2003.11504v1

    • [cs.LG]Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
    Alejandro Barredo-Arrieta, Javier Del Ser
    http://arxiv.org/abs/2003.11323v1

    • [cs.LG]Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
    Farbod Taymouri, Marcello La Rosa, Sarah Erfani, Zahra Dasht Bozorgi, Ilya Verenich
    http://arxiv.org/abs/2003.11268v1

    • [cs.LG]Preferential Batch Bayesian Optimization
    Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier Gonzalez, Pablo Garcia Moreno, Aki Vehtari
    http://arxiv.org/abs/2003.11435v1

    • [cs.LG]Robustness Analysis of the Data-Selective Volterra NLMS Algorithm
    Javad Sharafi, Abbas Maarefparvar
    http://arxiv.org/abs/2003.11514v1

    • [cs.LG]Safety-Aware Hardening of 3D Object Detection Neural Network Systems
    Chih-Hong Cheng
    http://arxiv.org/abs/2003.11242v1

    • [cs.LG]Scalable Variational Gaussian Process Regression Networks
    Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe
    http://arxiv.org/abs/2003.11489v1

    • [cs.LG]Similarity of Neural Networks with Gradients
    Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou
    http://arxiv.org/abs/2003.11498v1

    • [cs.LG]VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
    Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jincho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang
    http://arxiv.org/abs/2003.11249v1

    • [cs.LG]Volumization as a Natural Generalization of Weight Decay
    Liu Ziyin, Zihao Wang, Makoto Yamada, Masahito Ueda
    http://arxiv.org/abs/2003.11243v1

    • [cs.MM]How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric
    Helard Martinez, Andrew Hines, Mylene C. Q. Farias
    http://arxiv.org/abs/2003.11100v1

    • [cs.NE]Derivation of Coupled PCA and SVD Learning Rules from a Newton Zero-Finding Framework
    Ralf Möller
    http://arxiv.org/abs/2003.11456v1

    • [cs.NE]Safe Crossover of Neural Networks Through Neuron Alignment
    Thomas Uriot, Dario Izzo
    http://arxiv.org/abs/2003.10306v2

    • [cs.NE]Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
    Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman
    http://arxiv.org/abs/2003.11120v1

    • [cs.PL]Context-Aware Parse Trees
    Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
    http://arxiv.org/abs/2003.11118v1

    • [cs.RO]A Socially Adaptable Framework for Human-Robot Interaction
    Ana Tanevska, Francesco Rea, Giulio Sandini, Lola Cañamero, Alessandra Sciutti
    http://arxiv.org/abs/2003.11410v1

    • [cs.RO]Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning
    M. Tuluhan Akbulut, M. Yunus Seker, Ahmet E. Tekden, Yukie Nagai, Erhan Oztop, Emre Ugur
    http://arxiv.org/abs/2003.11334v1

    • [cs.RO]Aerial Imagery based LIDAR Localization for Autonomous Vehicles
    Ankit Vora, Siddharth Agarwal, Gaurav Pandey, James McBride
    http://arxiv.org/abs/2003.11192v1

    • [cs.RO]An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems
    Matteo Saveriano
    http://arxiv.org/abs/2003.11290v1

    • [cs.RO]Commentaries on “Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception” [Science Robotics Vol. 4 Issue 30 (2019) 1-10
    Denis Kleyko, Ross W. Gayler, Evgeny Osipov
    http://arxiv.org/abs/2003.11458v1

    • [cs.RO]DevSecOps in Robotics
    Víctor Mayoral-Vilches, Nuria García-Maestro, McKenna Towers, Endika Gil-Uriarte
    http://arxiv.org/abs/2003.10402v2

    • [cs.RO]Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task
    Trenton Schulz, Patrick Holthaus, Farshid Amirabdollahian, Kheng Lee Koay, Jim Torresen, Jo Herstad
    http://arxiv.org/abs/2003.11443v1

    • [cs.RO]Fast and resilient manipulation planning for target retrieval in clutter
    Changjoo Nam, Jinhwi Lee, Sang Hun Cheong, Brian Y. Cho, ChangHwan Kim
    http://arxiv.org/abs/2003.11420v1

    • [cs.RO]Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems
    Matteo Saveriano, Dongheui Lee
    http://arxiv.org/abs/2003.11500v1

    • [cs.RO]Merging Position and Orientation Motion Primitives
    Matteo Saveriano, Felix Franzel, Dongheui Lee
    http://arxiv.org/abs/2003.11507v1

    • [cs.RO]Privacy at Home: an Inquiry into Sensors and Robots for the Stay at Home Elderly
    Trenton Schulz, Jo Herstad, Harald Holone
    http://arxiv.org/abs/2003.11432v1

    • [cs.RO]Removing Dynamic Objects for Static Scene Reconstruction using Light Fields
    Pushyami Kaveti, Sammie Katt, Hanumant Singh
    http://arxiv.org/abs/2003.11076v1

    • [cs.RO]Visual-Inertial Telepresence for Aerial Manipulation
    Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak
    http://arxiv.org/abs/2003.11509v1

    • [cs.SD]COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
    Björn W. Schuller, Dagmar M. Schuller, Kun Qian, Juan Liu, Huaiyuan Zheng, Xiao Li
    http://arxiv.org/abs/2003.11117v1

    • [cs.SI]A Novel Metric Shows the Robustness of the Graph Communities to Brain-Tractography False-Positives
    Juan Luis Villarreal-Haro, Alonso Ramirez-Manzanares, Juan Antonio Pichardo-Corpus
    http://arxiv.org/abs/2003.11075v1

    • [cs.SI]Large-scale network analysis reveals cheating spreads through victimization and observation
    Ji Eun Kim, Milena Tsvetkova
    http://arxiv.org/abs/2003.11139v1

    • [cs.SI]What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?
    Josimar E. Chire Saire, Roberto C. Navarro
    http://arxiv.org/abs/2003.11159v1

    • [eess.IV]COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
    Ezz El-Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar
    http://arxiv.org/abs/2003.11055v1

    • [eess.IV]Content Adaptive and Error Propagation Aware Deep Video Compression
    Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao
    http://arxiv.org/abs/2003.11282v1

    • [eess.IV]ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images
    Charles N. Christensen, Edward N. Ward, Pietro Lio, Clemens F. Kaminski
    http://arxiv.org/abs/2003.11064v1

    • [eess.IV]Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
    Saeed Izadi, Ghassan Hamarneh
    http://arxiv.org/abs/2003.11177v1

    • [math-ph]Spectra of Perfect State Transfer Hamiltonians on Fractal-Like Graphs
    Gamal Mograby, Maxim Derevyagin, Gerald V. Dunne, Alexander Teplyaev
    http://arxiv.org/abs/2003.11190v1

    • [math.CO]On the Classification of Motions of Paradoxically Movable Graphs
    Georg Grasegger, Jan Legerský, Josef Schicho
    http://arxiv.org/abs/2003.11416v1

    • [math.OC]Zeroth-order Optimization on Riemannian Manifolds
    Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
    http://arxiv.org/abs/2003.11238v1

    • [math.PR]A diffusion approach to Stein’s method on Riemannian manifolds
    Huiling Le, Alexander Lewis, Karthik Bharath, Christopher Fallaize
    http://arxiv.org/abs/2003.11497v1

    • [math.PR]Multivariate fractional phase—type distributions
    Hansjoerg Albrecher, Martin Bladt, Mogens Bladt
    http://arxiv.org/abs/2003.11122v1

    • [math.ST]Model Checking for Parametric Ordinary Differential Equations System
    Ran Liu, Yun Fang, Lixing Zhu
    http://arxiv.org/abs/2003.10844v2

    • [math.ST]On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions
    Shaojun Guo, Xinghao Qiao
    http://arxiv.org/abs/2003.11462v1

    • [math.ST]Weighted directed networks with a differentially private bi-degree sequence
    Qiuping Wang, Xiao Zhang, Jing Luo, Yang Ouyang, Qian Wang
    http://arxiv.org/abs/2003.11373v1

    • [q-bio.PE]Mechanistic-statistical SIR modelling for early estimation of the actual number of cases and mortality rate from COVID-19
    Lionel Roques, Etienne Klein, Julien Papaix, Samuel Soubeyrand
    http://arxiv.org/abs/2003.10720v2

    • [q-bio.QM]A spatially explicit impact assessment of road characteristics, road-induced fragmentation and noise on bird species in Cyprus
    Konstantinos Konstantopoulos, Aristides Moustakas, Ioannis N. Vogiatzakis
    http://arxiv.org/abs/2003.11451v1

    • [stat.AP]A novel discrete grey seasonal model and its applications
    Weijie Zhou, Jiao Pan, Song Ding, Xiaoli Wu
    http://arxiv.org/abs/2003.11401v1

    • [stat.AP]Modeling and simulating depositional sequences using latent Gaussian random fields
    Denis Allard, Paolo Fabbri, Carlo Gaetan
    http://arxiv.org/abs/2003.11383v1

    • [stat.AP]Probabilistic forecasting approaches for extreme NO$_2$ episodes: a comparison of models
    Sebastián Pérez Vasseur, José L. Aznarte
    http://arxiv.org/abs/2003.11356v1

    • [stat.ME]A Poisson Kalman Filter to Control the Dynamics of Neonatal Sepsis and Postinfectious Hydrocephalus
    Donald Ebeigbe, Tyrus Berry, Steven J. Schiff, Timothy Sauer
    http://arxiv.org/abs/2003.11194v1

    • [stat.ME]Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
    Michele Peruzzi, Sudipto Banerjee, Andrew O. Finley
    http://arxiv.org/abs/2003.11208v1

    • [stat.ME]Missing at Random or Not: A Semiparametric Testing Approach
    Rui Duan, C. Jason Liang, Pamela Shaw, Cheng Yong Tang, Yong Chen
    http://arxiv.org/abs/2003.11181v1

    • [stat.ME]Orthogonal Impulse Response Analysis in Presence of Time-Varying Covariance
    Valentin Patilea, Hamdi Raïssi
    http://arxiv.org/abs/2003.11188v1

    • [stat.ME]Partial least squares for sparsely observed curves with measurement errors
    Zhiyang Zhou, Richard Lockhart
    http://arxiv.org/abs/2003.11542v1

    • [stat.ML]Design-unbiased statistical learning in survey sampling
    Luis Sanguiao Sande, Li-Chun Zhang
    http://arxiv.org/abs/2003.11423v1

    • [stat.ML]Dimension Independent Generalization Error with Regularized Online Optimization
    Xi Chen, Qiang Liu, Xin T. Tong
    http://arxiv.org/abs/2003.11196v1