astro-ph.GA - 星系天体物理学
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.FL - 形式语言与自动机理论 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.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.RM - 风险管理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.GA]Characterization of hot stellar systems with confidence
• [cs.AI]Learning Compositional Rules via Neural Program Synthesis
• [cs.AI]Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
• [cs.AI]The Chef’s Hat Simulation Environment for Reinforcement-Learning-Based Agents
• [cs.CL]A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
• [cs.CL]Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
• [cs.CL]It Means More if It Sounds Good: Yet Another Hypotheses Concerning the Evolution of Polysemous Words
• [cs.CL]KGvec2go — Knowledge Graph Embeddings as a Service
• [cs.CL]Learning word-referent mappings and concepts from raw inputs
• [cs.CL]Semantic Holism and Word Representations in Artificial Neural Networks
• [cs.CL]Sentiment Analysis with Contextual Embeddings and Self-Attention
• [cs.CR]ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
• [cs.CR]Inline Detection of DGA Domains Using Side Information
• [cs.CR]Securing Autonomous Service Robots through Fuzzing, Detection, and Mitigation
• [cs.CV]ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
• [cs.CV]Arbitrary-Oriented Object Detection with Circular Smooth Label
• [cs.CV]Beyond the Camera: Neural Networks in World Coordinates
• [cs.CV]CPS: Class-level 6D Pose and Shape Estimation From Monocular Images
• [cs.CV]Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
• [cs.CV]Conditional Convolutions for Instance Segmentation
• [cs.CV]Confidence Guided Stereo 3D Object Detection with Split Depth Estimation
• [cs.CV]Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
• [cs.CV]Deep Vectorization of Technical Drawings
• [cs.CV]Deformation Flow Based Two-Stream Network for Lip Reading
• [cs.CV]EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation
• [cs.CV]Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
• [cs.CV]End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
• [cs.CV]Extended Batch Normalization
• [cs.CV]Fairness by Learning Orthogonal Disentangled Representations
• [cs.CV]Frequency-Tuned Universal Adversarial Attacks
• [cs.CV]Highly Efficient Salient Object Detection with 100K Parameters
• [cs.CV]Learning to Segment 3D Point Clouds in 2D Image Space
• [cs.CV]Low-Rank and Total Variation Regularization and Its Application to Image Recovery
• [cs.CV]Memory-efficient Learning for Large-scale Computational Imaging
• [cs.CV]Open Source Computer Vision-based Layer-wise 3D Printing Analysis
• [cs.CV]Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
• [cs.CV]Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
• [cs.CV]SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
• [cs.CV]SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
• [cs.CV]Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information
• [cs.CV]Softmax Splatting for Video Frame Interpolation
• [cs.CV]SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
• [cs.CV]Top-1 Solution of Multi-Moments in Time Challenge 2019
• [cs.CV]Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
• [cs.CV]Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
• [cs.CV]Understanding Crowd Flow Movements Using Active-Langevin Model
• [cs.CV]Unified Image and Video Saliency Modeling
• [cs.CV]VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
• [cs.CV]ZSTAD: Zero-Shot Temporal Activity Detection
• [cs.CY]Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE)
• [cs.CY]Positive Work Practices. Opportunities and Challenges in Designing Meaningful Work-related Technology
• [cs.CY]Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres
• [cs.CY]Undergraduate Student Research With Low Faculty Cost
• [cs.CY]Understanding and Designing Automation with Peoples’ Wellbeing in Mind
• [cs.DC]Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
• [cs.DC]PALS: Plesiochronous and Locally Synchronous Systems
• [cs.DC]Topology Dependent Bounds For FAQs
• [cs.DC]Trends in Development of Databases and Blockchain
• [cs.DL]Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations
• [cs.FL]Regular Intersection Emptiness of Graph Problems: Finding a Needle in a Haystack of Graphs with the Help of Automata
• [cs.HC]Natural Language Interaction to Facilitate Mental Models of Remote Robots
• [cs.IR]Needmining: Identifying micro blog data containing customer needs
• [cs.IR]Reinforced Negative Sampling over Knowledge Graph for Recommendation
• [cs.IT]Asymptotic Expansions of Smooth Rényi Entropies and Their Applications
• [cs.IT]Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO
• [cs.IT]Random NOMA With Cross-Slot Successive Interference Cancellation Packet Recovery
• [cs.LG]A Survey of Adversarial Learning on Graphs
• [cs.LG]Fairness by Explicability and Adversarial SHAP Learning
• [cs.LG]Fisher Deep Domain Adaptation
• [cs.LG]Hyper-Parameter Optimization: A Review of Algorithms and Applications
• [cs.LG]Industrial Scale Privacy Preserving Deep Neural Network
• [cs.LG]Learning Algebraic Multigrid Using Graph Neural Networks
• [cs.LG]Learning distributed representations of graphs with Geo2DR
• [cs.LG]Machine Learning on Volatile Instances
• [cs.LG]Option Discovery in the Absence of Rewards with Manifold Analysis
• [cs.LG]Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization
• [cs.LG]PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
• [cs.LG]SUOD: A Scalable Unsupervised Outlier Detection Framework
• [cs.LG]The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective
• [cs.LG]Time Series Forecasting Using LSTM Networks: A Symbolic Approach
• [cs.LG]Topological Effects on Attacks Against Vertex Classification
• [cs.LG]Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning
• [cs.LO]Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
• [cs.MA]The Application of Market-based Multi-Robot Task Allocation to Ambulance Dispatch
• [cs.NI]Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
• [cs.RO]A Hamilton-Jacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems
• [cs.RO]A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
• [cs.RO]AirSim Drone Racing Lab
• [cs.RO]An autonomous swarm of micro flying robots with range-based relative localization
• [cs.RO]DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
• [cs.RO]Fast and Accurate Mapping for Autonomous Racing
• [cs.RO]Inertial-Only Optimization for Visual-Inertial Initialization
• [cs.RO]Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
• [cs.RO]Learning State-Dependent Losses for Inverse Dynamics Learning
• [cs.RO]Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control
• [cs.RO]Planning and Execution using Inaccurate Models with Provable Guarantees
• [cs.RO]SAHRTA: A Supervisory-Based Adaptive Human-Robot Teaming Architecture
• [cs.RO]Some Experiments on the influence of Problem Hardness in Morphological Development based Learning of Neural Controllers
• [cs.RO]The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
• [cs.SI]Analysis of ResearchGate, A Community Detection Approach
• [eess.IV]Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
• [eess.IV]Optimal HDR and Depth from Dual Cameras
• [eess.SP]A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise
• [eess.SP]Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models
• [eess.SP]Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
• [eess.SY]On the Convergence of the Dynamic Inner PCA Algorithm
• [math.OC]Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints
• [math.PR]Rényi entropy and pattern matching for run-length encoded sequences
• [math.ST]Asymptotic normality of a generalized maximum mean discrepancy estimator
• [math.ST]Benign overfitting in the large deviation regime
• [math.ST]Identification in a Fully Nonparametric Transformation Model with Heteroscedasticity
• [math.ST]Level set and density estimation on manifolds
• [math.ST]On Bayesian posterior mean estimators in imaging sciences and Hamilton-Jacobi Partial Differential Equations
• [math.ST]On uniform consistency of nonparametric tests I
• [math.ST]Posterior asymptotics in Wasserstein metrics on the real line
• [q-bio.PE]Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world
• [q-bio.QM]A deep belief network-based method to identify proteomic risk markers for Alzheimer disease
• [q-fin.RM]Covariance matrix filtering with bootstrapped hierarchies
• [stat.AP]Marginal and Total Exceedance Probabilities for Environmental Contours
• [stat.AP]Optimal dose calibration in radiotherapy
• [stat.AP]Spatial Modeling of Heavy Precipitation by Coupling Weather Station Recordings and Ensemble Forecasts with Max-Stable Processes
• [stat.AP]What can we learn from functional clustering of mortality data? An application to HMD data
• [stat.CO]Lifted samplers for partially ordered discrete state-spaces
• [stat.CO]MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values
• [stat.ME]A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts
• [stat.ME]Dynamic Tensor Recommender Systems
• [stat.ME]Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modeling: Application to a genome-wide association study of coronary artery disease
• [stat.ME]Modification Indices for Diagnostic Classification Models
• [stat.ML]A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
• [stat.ML]General linear-time inference for Gaussian Processes on one dimension
• [stat.ML]Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
• [stat.ML]Statistical and Topological Properties of Sliced Probability Divergences
• [stat.ML]Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
• [stat.ML]Towards a General Theory of Infinite-Width Limits of Neural Classifiers
·····································
• [astro-ph.GA]Characterization of hot stellar systems with confidence
Souradeep Chattopadhyay, Ranjan Maitra
http://arxiv.org/abs/2003.05777v1
• [cs.AI]Learning Compositional Rules via Neural Program Synthesis
Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake
http://arxiv.org/abs/2003.05562v1
• [cs.AI]Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexande Lacoste, David Vazquez, Laurent Charlin
http://arxiv.org/abs/2003.05856v1
• [cs.AI]The Chef’s Hat Simulation Environment for Reinforcement-Learning-Based Agents
Pablo Barros, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia Barakova, Alessandra Sciutti
http://arxiv.org/abs/2003.05861v1
• [cs.CL]A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim
http://arxiv.org/abs/2003.05443v1
• [cs.CL]Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking
Samuel Broscheit
http://arxiv.org/abs/2003.05473v1
• [cs.CL]It Means More if It Sounds Good: Yet Another Hypotheses Concerning the Evolution of Polysemous Words
Ivan P. Yamshchikov, Cyrille Merleau Nono Saha, Igor Samenko, Jürgen Jost
http://arxiv.org/abs/2003.05758v1
• [cs.CL]KGvec2go — Knowledge Graph Embeddings as a Service
Jan Portisch, Michael Hladik, Heiko Paulheim
http://arxiv.org/abs/2003.05809v1
• [cs.CL]Learning word-referent mappings and concepts from raw inputs
Wai Keen Vong, Brenden M. Lake
http://arxiv.org/abs/2003.05573v1
• [cs.CL]Semantic Holism and Word Representations in Artificial Neural Networks
Tomáš Musil
http://arxiv.org/abs/2003.05522v1
• [cs.CL]Sentiment Analysis with Contextual Embeddings and Self-Attention
Katarzyna Biesialska, Magdalena Biesialska, Henryk Rybinski
http://arxiv.org/abs/2003.05574v1
• [cs.CR]ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li, Jin Young Lee, Yingyuan Yang, Jinyuan Stella Sun, Kevin Tomsovic
http://arxiv.org/abs/2003.05631v1
• [cs.CR]Inline Detection of DGA Domains Using Side Information
Raaghavi Sivaguru, Jonathan Peck, Femi Olumofin, Anderson Nascimento, Martine De Cock
http://arxiv.org/abs/2003.05703v1
• [cs.CR]Securing Autonomous Service Robots through Fuzzing, Detection, and Mitigation
Chundong Wang, Yee Ching Tok, Rohini Poolat, Sudipta Chattopadhyay, Mohan Rajesh Elara
http://arxiv.org/abs/2003.05564v1
• [cs.CV]ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee
http://arxiv.org/abs/2003.05669v1
• [cs.CV]Arbitrary-Oriented Object Detection with Circular Smooth Label
Xue Yang, Junchi Yan
http://arxiv.org/abs/2003.05597v1
• [cs.CV]Beyond the Camera: Neural Networks in World Coordinates
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari
http://arxiv.org/abs/2003.05614v1
• [cs.CV]CPS: Class-level 6D Pose and Shape Estimation From Monocular Images
Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab
http://arxiv.org/abs/2003.05848v1
• [cs.CV]Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen
http://arxiv.org/abs/2003.05905v1
• [cs.CV]Conditional Convolutions for Instance Segmentation
Zhi Tian, Chunhua Shen, Hao Chen
http://arxiv.org/abs/2003.05664v1
• [cs.CV]Confidence Guided Stereo 3D Object Detection with Split Depth Estimation
Chengyao Li, Jason Ku, Steven L. Waslander
http://arxiv.org/abs/2003.05505v1
• [cs.CV]Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
http://arxiv.org/abs/2003.05787v1
• [cs.CV]Deep Vectorization of Technical Drawings
Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
http://arxiv.org/abs/2003.05471v1
• [cs.CV]Deformation Flow Based Two-Stream Network for Lip Reading
Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2003.05709v1
• [cs.CV]EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation
Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri
http://arxiv.org/abs/2003.05710v1
• [cs.CV]Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao, Boonserm Kijsirikul
http://arxiv.org/abs/2003.05586v1
• [cs.CV]End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai
http://arxiv.org/abs/2003.05855v1
• [cs.CV]Extended Batch Normalization
Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
http://arxiv.org/abs/2003.05569v1
• [cs.CV]Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
http://arxiv.org/abs/2003.05707v1
• [cs.CV]Frequency-Tuned Universal Adversarial Attacks
Yingpeng Deng, Lina J. Karam
http://arxiv.org/abs/2003.05549v1
• [cs.CV]Highly Efficient Salient Object Detection with 100K Parameters
Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan
http://arxiv.org/abs/2003.05643v1
• [cs.CV]Learning to Segment 3D Point Clouds in 2D Image Space
Yecheng Lyu, Xinming Huang, Ziming Zhang
http://arxiv.org/abs/2003.05593v1
• [cs.CV]Low-Rank and Total Variation Regularization and Its Application to Image Recovery
Pawan Goyal, Hussam Al Daas, Peter Benner
http://arxiv.org/abs/2003.05698v1
• [cs.CV]Memory-efficient Learning for Large-scale Computational Imaging
Michael Kellman, Kevin Zhang, Jon Tamir, Emrah Bostan, Michael Lustig, Laura Waller
http://arxiv.org/abs/2003.05551v1
• [cs.CV]Open Source Computer Vision-based Layer-wise 3D Printing Analysis
Aliaksei L. Petsiuk, Joshua M. Pearce
http://arxiv.org/abs/2003.05660v1
• [cs.CV]Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Adam Bernheim, Eliot Siegel
http://arxiv.org/abs/2003.05037v2
• [cs.CV]Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
Hyeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, Sangyoun Lee
http://arxiv.org/abs/2003.05145v2
• [cs.CV]SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen
http://arxiv.org/abs/2003.05891v1
• [cs.CV]SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker
http://arxiv.org/abs/2003.05559v1
• [cs.CV]Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information
Zhize Wu, Thomas Weise, Le Zou, Fei Sun, Ming Tan
http://arxiv.org/abs/2003.05684v1
• [cs.CV]Softmax Splatting for Video Frame Interpolation
Simon Niklaus, Feng Liu
http://arxiv.org/abs/2003.05534v1
• [cs.CV]SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty, Nibaran Das
http://arxiv.org/abs/2003.05712v1
• [cs.CV]Top-1 Solution of Multi-Moments in Time Challenge 2019
Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan
http://arxiv.org/abs/2003.05837v1
• [cs.CV]Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
Jiangke Lin, Yi Yuan, Tianjia Shao, Kun Zhou
http://arxiv.org/abs/2003.05653v1
• [cs.CV]Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo
http://arxiv.org/abs/2003.05863v1
• [cs.CV]Understanding Crowd Flow Movements Using Active-Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy
http://arxiv.org/abs/2003.05626v1
• [cs.CV]Unified Image and Video Saliency Modeling
Richard Droste, Jianbo Jiao, J. Alison Noble
http://arxiv.org/abs/2003.05477v1
• [cs.CV]VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Oytun Ulutan, A S M Iftekhar, B. S. Manjunath
http://arxiv.org/abs/2003.05541v1
• [cs.CV]ZSTAD: Zero-Shot Temporal Activity Detection
Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander Hauptmann
http://arxiv.org/abs/2003.05583v1
• [cs.CY]Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE)
Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki
http://arxiv.org/abs/2003.05720v1
• [cs.CY]Positive Work Practices. Opportunities and Challenges in Designing Meaningful Work-related Technology
Matthias Laschke, Alarith Uhde, Marc Hassenzahl
http://arxiv.org/abs/2003.05533v1
• [cs.CY]Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres
Philippe Ravaud, Franck le Ouay, Etienne Depaulis, Alexandre Huckert, Bruno Vegreville, Viet-Thi Tran
http://arxiv.org/abs/2003.05873v1
• [cs.CY]Undergraduate Student Research With Low Faculty Cost
Sindhu Kutty, Mark Guzdial
http://arxiv.org/abs/2003.05719v1
• [cs.CY]Understanding and Designing Automation with Peoples’ Wellbeing in Mind
Holger Klapperich, Alarith Uhde, Marc Hassenzahl
http://arxiv.org/abs/2003.05530v1
• [cs.DC]Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li
http://arxiv.org/abs/2003.05622v1
• [cs.DC]PALS: Plesiochronous and Locally Synchronous Systems
Johannes Bund, Matthias Függer, Christoph Lenzen, Moti Medina, Will Rosenbaum
http://arxiv.org/abs/2003.05542v1
• [cs.DC]Topology Dependent Bounds For FAQs
Michael Langberg, Shi Li, Sai Vikneshwar Mani Jayaraman, Atri Rudra
http://arxiv.org/abs/2003.05575v1
• [cs.DC]Trends in Development of Databases and Blockchain
Mayank Raikwar, Danilo Gligoroski, Goran Velinov
http://arxiv.org/abs/2003.05687v1
• [cs.DL]Expressiveness and machine processability of Knowledge Organization Systems (KOS): An analysis of concepts and relations
Manolis Peponakis, Anna Mastora, Sarantos Kapidakis, Martin Doerr
http://arxiv.org/abs/2003.05258v1
• [cs.FL]Regular Intersection Emptiness of Graph Problems: Finding a Needle in a Haystack of Graphs with the Help of Automata
Petra Wolf, Henning Fernau
http://arxiv.org/abs/2003.05826v1
• [cs.HC]Natural Language Interaction to Facilitate Mental Models of Remote Robots
Francisco J. Chiyah Garcia, José Lopes, Helen Hastie
http://arxiv.org/abs/2003.05870v1
• [cs.IR]Needmining: Identifying micro blog data containing customer needs
Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
http://arxiv.org/abs/2003.05917v1
• [cs.IR]Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
http://arxiv.org/abs/2003.05753v1
• [cs.IT]Asymptotic Expansions of Smooth Rényi Entropies and Their Applications
Yuta Sakai, Vincent Y. F. Tan
http://arxiv.org/abs/2003.05545v1
• [cs.IT]Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO
Xisuo Ma, Zhen Gao
http://arxiv.org/abs/2003.05875v1
• [cs.IT]Random NOMA With Cross-Slot Successive Interference Cancellation Packet Recovery
Zhaoji Zhang, Ying Li, Guanghui Song, Chau Yuen, Yong Liang Guan
http://arxiv.org/abs/2003.05864v1
• [cs.LG]A Survey of Adversarial Learning on Graphs
Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng
http://arxiv.org/abs/2003.05730v1
• [cs.LG]Fairness by Explicability and Adversarial SHAP Learning
James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou
http://arxiv.org/abs/2003.05330v2
• [cs.LG]Fisher Deep Domain Adaptation
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
http://arxiv.org/abs/2003.05636v1
• [cs.LG]Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu, Hong Zhu
http://arxiv.org/abs/2003.05689v1
• [cs.LG]Industrial Scale Privacy Preserving Deep Neural Network
Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
http://arxiv.org/abs/2003.05198v2
• [cs.LG]Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh
http://arxiv.org/abs/2003.05744v1
• [cs.LG]Learning distributed representations of graphs with Geo2DR
Paul Scherer, Pietro Lio
http://arxiv.org/abs/2003.05926v1
• [cs.LG]Machine Learning on Volatile Instances
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
http://arxiv.org/abs/2003.05649v1
• [cs.LG]Option Discovery in the Absence of Rewards with Manifold Analysis
Amitay Bar, Ronen Talmon, Ron Meir
http://arxiv.org/abs/2003.05878v1
• [cs.LG]Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
http://arxiv.org/abs/2003.05610v1
• [cs.LG]PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
http://arxiv.org/abs/2003.05602v1
• [cs.LG]SUOD: A Scalable Unsupervised Outlier Detection Framework
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
http://arxiv.org/abs/2003.05731v1
• [cs.LG]The MineRL Competition on Sample-Efficient Reinforcement Learning Using Human Priors: A Retrospective
Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Oriol Vinyals, Noboru Sean Kuno
http://arxiv.org/abs/2003.05012v2
• [cs.LG]Time Series Forecasting Using LSTM Networks: A Symbolic Approach
Steven Elsworth, Stefan Güttel
http://arxiv.org/abs/2003.05672v1
• [cs.LG]Topological Effects on Attacks Against Vertex Classification
Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin Chan, Tina Eliassi-Rad
http://arxiv.org/abs/2003.05822v1
• [cs.LG]Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning
Christopher Zach, Huu Le
http://arxiv.org/abs/2003.05886v1
• [cs.LO]Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
Meghyn Bienvenu, Camille Bourgaux
http://arxiv.org/abs/2003.05746v1
• [cs.MA]The Application of Market-based Multi-Robot Task Allocation to Ambulance Dispatch
Eric Schneider, Marcus Poulton, Archie Drake, Leanne Smith, George Roussos, Simon Parsons, Elizabeth I Sklar
http://arxiv.org/abs/2003.05550v1
• [cs.NI]Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Hamza Khan, M. Majid Butt, Sumudu Samarakoon, Philippe Sehier, Mehdi Bennis
http://arxiv.org/abs/2003.05685v1
• [cs.RO]A Hamilton-Jacobi Formulation for Optimal Coordination of Heterogeneous Multiple Vehicle Systems
Matthew R. Kirchner, Mark J. Debord, João P. Hespanha
http://arxiv.org/abs/2003.05792v1
• [cs.RO]A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification
Yasuto Yokota, Kanata Suzuki, Yuzi Kanazawa, Tomoyoshi Takebayashi
http://arxiv.org/abs/2003.05624v1
• [cs.RO]AirSim Drone Racing Lab
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor
http://arxiv.org/abs/2003.05654v1
• [cs.RO]An autonomous swarm of micro flying robots with range-based relative localization
Shushuai Li, Mario Coppola, Christophe De Wagter, Guido C. H. E. de Croon
http://arxiv.org/abs/2003.05853v1
• [cs.RO]DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
Bharat Joshi, Md Modasshir, Travis Manderson, Hunter Damron, Marios Xanthidis, Alberto Quattrini Li, Ioannis Rekleitis, Gregory Dudek
http://arxiv.org/abs/2003.05523v1
• [cs.RO]Fast and Accurate Mapping for Autonomous Racing
Leiv Andresen, Adrian Brandemuehl, Alex Hönger, Benson Kuan, Niclas Vödisch, Hermann Blum, Victor Reijgwart, Lukas Bernreiter, Lukas Schaupp, Jen Jen Chung, Mathias Bürki, Martin R. Oswald, Roland Siegwart, Abel Gawel
http://arxiv.org/abs/2003.05266v2
• [cs.RO]Inertial-Only Optimization for Visual-Inertial Initialization
Carlos Campos, José M. M. Montiel, Juan D. Tardós
http://arxiv.org/abs/2003.05766v1
• [cs.RO]Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
Han Wang, Chen Wang, Lihua Xie
http://arxiv.org/abs/2003.05656v1
• [cs.RO]Learning State-Dependent Losses for Inverse Dynamics Learning
Kristen Morse, Neha Das, Yixin Lin, Austin Wang, Akshara Rai, Franziska Meier
http://arxiv.org/abs/2003.04947v2
• [cs.RO]Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control
Carlos Mastalli, Ioannis Havoutis, Michele Focchi, Darwin G. Caldwell, Claudio Semini
http://arxiv.org/abs/2003.05481v1
• [cs.RO]Planning and Execution using Inaccurate Models with Provable Guarantees
Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev
http://arxiv.org/abs/2003.04394v2
• [cs.RO]SAHRTA: A Supervisory-Based Adaptive Human-Robot Teaming Architecture
Jamison Heard, Julian Fortune, Julie A. Adams
http://arxiv.org/abs/2003.05823v1
• [cs.RO]Some Experiments on the influence of Problem Hardness in Morphological Development based Learning of Neural Controllers
M. Naya-Varela, A. Faina, R. J. Duro
http://arxiv.org/abs/2003.05817v1
• [cs.RO]The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matias Mattamala, Maurice Fallon
http://arxiv.org/abs/2003.05691v1
• [cs.SI]Analysis of ResearchGate, A Community Detection Approach
Mohammad Heydari, Babak Teimourpour
http://arxiv.org/abs/2003.05591v1
• [eess.IV]Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
http://arxiv.org/abs/2003.04989v2
• [eess.IV]Optimal HDR and Depth from Dual Cameras
Pradyumna Chari, Anil Kumar Vadathya, Kaushik Mitra
http://arxiv.org/abs/2003.05907v1
• [eess.SP]A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise
Nobutaka Ito, Simon Godsill
http://arxiv.org/abs/2003.05778v1
• [eess.SP]Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models
Thiernithi Variddhisai, Danilo Mandic
http://arxiv.org/abs/2003.05729v1
• [eess.SP]Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
Kenneth Leerbeck, Peder Bacher, Rune Junker, Goran Goranović, Olivier Corradi, Razgar Ebrahimy, Anna Tveit, Henrik Madsen
http://arxiv.org/abs/2003.05740v1
• [eess.SY]On the Convergence of the Dynamic Inner PCA Algorithm
Sungho Shin, Alex D. Smith, S. Joe Qin, Victor M. Zavala
http://arxiv.org/abs/2003.05928v1
• [math.OC]Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints
Qinbo Bai, Ather Gattami, Vaneet Aggarwal
http://arxiv.org/abs/2003.05555v1
• [math.PR]Rényi entropy and pattern matching for run-length encoded sequences
Jerome Rousseau
http://arxiv.org/abs/2003.05500v1
• [math.ST]Asymptotic normality of a generalized maximum mean discrepancy estimator
Armando Sosthene Kali Balogoun, Guy Martial Nkiet, Carlos Ogouyandjou
http://arxiv.org/abs/2003.05716v1
• [math.ST]Benign overfitting in the large deviation regime
Geoffrey Chinot, Matthieu Lerasle
http://arxiv.org/abs/2003.05838v1
• [math.ST]Identification in a Fully Nonparametric Transformation Model with Heteroscedasticity
Nick Kloodt
http://arxiv.org/abs/2003.05683v1
• [math.ST]Level set and density estimation on manifolds
Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
http://arxiv.org/abs/2003.05814v1
• [math.ST]On Bayesian posterior mean estimators in imaging sciences and Hamilton-Jacobi Partial Differential Equations
Jerome Darbon, Gabriel P. Langlois
http://arxiv.org/abs/2003.05572v1
• [math.ST]On uniform consistency of nonparametric tests I
Mikhail Ermakov
http://arxiv.org/abs/2003.05619v1
• [math.ST]Posterior asymptotics in Wasserstein metrics on the real line
Minwoo Chae, Pierpaolo De Blasi, Stephen G. Walker
http://arxiv.org/abs/2003.05599v1
• [q-bio.PE]Generalized logistic growth modeling of the COVID-19 outbreak in 29 provinces in China and in the rest of the world
Ke Wu, Didier Darcet, Qian Wang, Didier Sornette
http://arxiv.org/abs/2003.05681v1
• [q-bio.QM]A deep belief network-based method to identify proteomic risk markers for Alzheimer disease
Ning An, Liuqi Jin, Huitong Ding, Jiaoyun Yang, Jing Yuan
http://arxiv.org/abs/2003.05776v1
• [q-fin.RM]Covariance matrix filtering with bootstrapped hierarchies
Christian Bongiorno, Damien Challet
http://arxiv.org/abs/2003.05807v1
• [stat.AP]Marginal and Total Exceedance Probabilities for Environmental Contours
Edward B. L. Mackay, Andreas F. Haselsteiner
http://arxiv.org/abs/2003.05463v1
• [stat.AP]Optimal dose calibration in radiotherapy
Jesús López-Fidalgo, Mariano Amo-Salas
http://arxiv.org/abs/2003.05510v1
• [stat.AP]Spatial Modeling of Heavy Precipitation by Coupling Weather Station Recordings and Ensemble Forecasts with Max-Stable Processes
Marco Oesting, Philippe Naveau
http://arxiv.org/abs/2003.05854v1
• [stat.AP]What can we learn from functional clustering of mortality data? An application to HMD data
Ainhoa-Elena Léger, Stefano Mazzuco
http://arxiv.org/abs/2003.05780v1
• [stat.CO]Lifted samplers for partially ordered discrete state-spaces
Philippe Gagnon, Florian Maire
http://arxiv.org/abs/2003.05492v1
• [stat.CO]MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values
Shovanur Haque, Kerrie Mengersen
http://arxiv.org/abs/2003.05686v1
• [stat.ME]A marginal moment matching approach for fitting endemic-epidemic models to underreported disease surveillance counts
Johannes Bracher, Leonhard Held
http://arxiv.org/abs/2003.05885v1
• [stat.ME]Dynamic Tensor Recommender Systems
Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu
http://arxiv.org/abs/2003.05568v1
• [stat.ME]Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modeling: Application to a genome-wide association study of coronary artery disease
Shonosuke Sugasawa, Hisashi Noma
http://arxiv.org/abs/2003.05611v1
• [stat.ME]Modification Indices for Diagnostic Classification Models
Christy Brown, Jonathan Templin
http://arxiv.org/abs/2003.05880v1
• [stat.ML]A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
http://arxiv.org/abs/2003.05508v1
• [stat.ML]General linear-time inference for Gaussian Processes on one dimension
Jackson Loper, David Blei, John P. Cunningham, Liam Paninski
http://arxiv.org/abs/2003.05554v1
• [stat.ML]Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill
http://arxiv.org/abs/2003.05623v1
• [stat.ML]Statistical and Topological Properties of Sliced Probability Divergences
Kimia Nadjahi, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, Umut Şimşekli
http://arxiv.org/abs/2003.05783v1
• [stat.ML]Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Sudeep Salgia, Qing Zhao, Sattar Vakili
http://arxiv.org/abs/2003.05482v1
• [stat.ML]Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Eugene A. Golikov
http://arxiv.org/abs/2003.05884v1
若有收获，就点个赞吧
0 人点赞
