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