astro-ph.SR - 太阳和天体物理学恒星
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
cs.SY - 系统与控制
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.CO - 组合数学
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.GN - 基因组学
q-fin.PM - 投资组合管理
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.SR]A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
• [cs.AI]Generating and Sampling Orbits for Lifted Probabilistic Inference
• [cs.AI]Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
• [cs.AI]Iterated two-phase local search for the Set-Union Knapsack Problem
• [cs.AR]Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
• [cs.CL]Character Eyes: Seeing Language through Character-Level Taggers
• [cs.CL]Context-Aware Learning for Neural Machine Translation
• [cs.CL]Few-Shot and Zero-Shot Learning for Historical Text Normalization
• [cs.CL]Partially Shuffling the Training Data to Improve Language Models
• [cs.CL]Practical Semantic Parsing for Spoken Language Understanding
• [cs.CL]Syllable-based Neural Named Entity Recognition for Myanmar Language
• [cs.CL]The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection
• [cs.CR]Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network
• [cs.CV]A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
• [cs.CV]An End-to-End Network for Panoptic Segmentation
• [cs.CV]Cascaded Projection: End-to-End Network Compression and Acceleration
• [cs.CV]Deep Learning for Automated Medical Image Analysis
• [cs.CV]Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image
• [cs.CV]Dense Classification and Implanting for Few-Shot Learning
• [cs.CV]Discriminative Principal Component Analysis: A REVERSE THINKING
• [cs.CV]Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
• [cs.CV]GOGGLES: Automatic Training Data Generation with Affinity Coding
• [cs.CV]Generating superpixels using deep image representations
• [cs.CV]Image Classification base on PCA of Multi-view Deep Representation
• [cs.CV]Knowledge Adaptation for Efficient Semantic Segmentation
• [cs.CV]MTRNet: A Generic Scene Text Eraser
• [cs.CV]Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition
• [cs.CV]Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
• [cs.CV]Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis
• [cs.CV]Placental Flattening via Volumetric Parameterization
• [cs.CV]Quality-Gated Convolutional LSTM for Enhancing compressed video
• [cs.CV]Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
• [cs.CV]Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
• [cs.CV]Structured Knowledge Distillation for Semantic Segmentation
• [cs.CV]The Unconstrained Ear Recognition Challenge 2019 - ArXiv version With Appendix
• [cs.CV]Transfer Adaptation Learning: A Decade Survey
• [cs.CV]Unsupervised motion saliency map estimation based on optical flow inpainting
• [cs.CY]Analysis of the use of smart cards on the urban railway
• [cs.DC]Analyzing the Impact of GDPR on Storage Systems
• [cs.DC]Decentralized Smart Surveillance through Microservices Platform
• [cs.DC]Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment
• [cs.IR]Challenges in Search on Streaming Services: Netflix Case Study
• [cs.IR]Extracting localized information from a Twitter corpus for flood prevention
• [cs.IR]SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm
• [cs.IT]Age of Information in a Multiple Access Channel with Heterogeneous Traffic and an Energy Harvesting Node
• [cs.IT]Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test
• [cs.IT]Bit-Interleaved Coded Multiple Beamforming in Millimeter-Wave Massive MIMO Systems
• [cs.IT]Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN
• [cs.LG]Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification
• [cs.LG]Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty
• [cs.LG]Communication-efficient distributed SGD with Sketching
• [cs.LG]Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
• [cs.LG]Deep Log-Likelihood Ratio Quantization
• [cs.LG]Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
• [cs.LG]Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
• [cs.LG]Embarrassingly parallel MCMC using deep invertible transformations
• [cs.LG]Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks
• [cs.LG]Generating Compact Geometric Track-Maps for Train Positioning Applications
• [cs.LG]Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
• [cs.LG]Imitation Learning of Factored Multi-agent Reactive Models
• [cs.LG]Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
• [cs.LG]Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
• [cs.LG]Learning Edge Properties in Graphs from Path Aggregations
• [cs.LG]Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
• [cs.LG]Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
• [cs.LG]Online Human Activity Recognition Employing Hierarchical Hidden Markov Models
• [cs.LG]Open-Set Recognition Using Intra-Class Splitting
• [cs.LG]Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
• [cs.LG]Tensor Grid Decomposition with Application to Tensor Completion
• [cs.LG]Theory III: Dynamics and Generalization in Deep Networks
• [cs.LO]Probabilistic Temporal Logic over Finite Traces (Technical Report)
• [cs.NE]Efficient Optimization of Echo State Networks for Time Series Datasets
• [cs.NE]NeuroCore: Guiding CDCL with Unsat-Core Predictions
• [cs.RO]An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners
• [cs.RO]Blackbox End-to-End Verification of Ground Robot Safety and Liveness
• [cs.RO]Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory
• [cs.RO]Information correlated Lévy walk exploration and distributed mapping using a swarm of robots
• [cs.RO]Proceedings of the Fifth International Conference on Cloud and Robotics (ICCR2018)
• [cs.RO]Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps
• [cs.RO]Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams
• [cs.RO]Siamese Convolutional Neural Network for Sub-millimeter-accurate Camera Pose Estimation and Visual Servoing
• [cs.RO]Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
• [cs.RO]UAV/UGV Autonomous Cooperation: UAV Assists UGV to Climb a Cliff by Attaching a Tether
• [cs.SD]Progressive Generative Adversarial Binary Networks for Music Generation
• [cs.SI]Characterization of Local Attitudes Toward Immigration Using Social Media
• [cs.SI]What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
• [cs.SY]Control Barrier Functions for Systems with High Relative Degree
• [cs.SY]Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs
• [eess.AS]Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
• [eess.IV]AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks
• [eess.SP]Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
• [eess.SP]Satellite Based IoT for MC Applications
• [math.CO]The Iterated Local Model for Social Networks
• [math.NA]A total variation based regularizer promoting piecewise-Lipschitz reconstructions
• [math.OC]Accelerated Learning in the Presence of Time Varying Features with Applications to Machine Learning and Adaptive Control
• [math.OC]An Efficient Augmented Lagrangian Based Method for Constrained Lasso
• [math.PR]Calibrating dependence between random elements
• [math.PR]The Inverse first passage time method for a two compartment model as a tool to relate Inverse Gaussian and Gamma spike distributions
• [math.ST]ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data
• [math.ST]The All-or-Nothing Phenomenon in Sparse Linear Regression
• [math.ST]The limits of distribution-free conditional predictive inference
• [physics.soc-ph]A subset selection based approach to finding important structure of complex networks
• [q-bio.GN]conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads
• [q-fin.PM]Financial Applications of Gaussian Processes and Bayesian Optimization
• [stat.AP]Analysis of the AOK Lower Saxony hospitalisation records data (years 2008 -- 2015)
• [stat.AP]The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
• [stat.CO]ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
• [stat.ME]Causal organic direct and indirect effects: closer to Baron and Kenny
• [stat.ME]Discrete factor analysis
• [stat.ME]Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
• [stat.ME]Generalized Sparse Additive Models
• [stat.ME]Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
• [stat.ML]Elements of Sequential Monte Carlo
• [stat.ML]Imputation estimators for unnormalized models with missing data
• [stat.ML]Testing Conditional Independence on Discrete Data using Stochastic Complexity
• [stat.ML]Wavelet regression and additive models for irregularly spaced data
·····································
• [astro-ph.SR]A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
Richard Galvez, David F. Fouhey, Meng Jin, Alexandre Szenicer, Andrés Muñoz-Jaramillo, Mark C. M. Cheung, Paul J. Wright, Monica G. Bobra, Yang Liu, James Mason, Rajat Thomas
http://arxiv.org/abs/1903.04538v1
• [cs.AI]Generating and Sampling Orbits for Lifted Probabilistic Inference
Steven Holtzen, Todd Millstein, Guy Van den Broeck
http://arxiv.org/abs/1903.04672v1
• [cs.AI]Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
http://arxiv.org/abs/1903.04750v1
• [cs.AI]Iterated two-phase local search for the Set-Union Knapsack Problem
Zequn Wei, Jin-Kao Hao
http://arxiv.org/abs/1903.04966v1
• [cs.AR]Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan Tallent, Kevin Barker
http://arxiv.org/abs/1903.04611v1
• [cs.CL]Character Eyes: Seeing Language through Character-Level Taggers
Yuval Pinter, Marc Marone, Jacob Eisenstein
http://arxiv.org/abs/1903.05041v1
• [cs.CL]Context-Aware Learning for Neural Machine Translation
Sébastien Jean, Kyunghyun Cho
http://arxiv.org/abs/1903.04715v1
• [cs.CL]Few-Shot and Zero-Shot Learning for Historical Text Normalization
Marcel Bollmann, Natalia Korchagina, Anders Søgaard
http://arxiv.org/abs/1903.04870v1
• [cs.CL]Partially Shuffling the Training Data to Improve Language Models
Ofir Press
http://arxiv.org/abs/1903.04167v2
• [cs.CL]Practical Semantic Parsing for Spoken Language Understanding
Marco Damonte, Rahul Goel, Tagyoung Chung
http://arxiv.org/abs/1903.04521v1
• [cs.CL]Syllable-based Neural Named Entity Recognition for Myanmar Language
Hsu Myat Mo, Khin Mar Soe
http://arxiv.org/abs/1903.04739v1
• [cs.CL]The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection
Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai
http://arxiv.org/abs/1903.04484v1
• [cs.CR]Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network
Kyle Worley, Md Tauhidur Rahman
http://arxiv.org/abs/1903.04677v1
• [cs.CV]A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong
http://arxiv.org/abs/1903.04704v1
• [cs.CV]An End-to-End Network for Panoptic Segmentation
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
http://arxiv.org/abs/1903.05027v1
• [cs.CV]Cascaded Projection: End-to-End Network Compression and Acceleration
Breton Minnehan, Andreas Savakis
http://arxiv.org/abs/1903.04988v1
• [cs.CV]Deep Learning for Automated Medical Image Analysis
Wentao Zhu
http://arxiv.org/abs/1903.04711v1
• [cs.CV]Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image
Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui
http://arxiv.org/abs/1903.04019v2
• [cs.CV]Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
http://arxiv.org/abs/1903.05050v1
• [cs.CV]Discriminative Principal Component Analysis: A REVERSE THINKING
Hanli Qiao
http://arxiv.org/abs/1903.04963v1
• [cs.CV]Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, Chun Yuan
http://arxiv.org/abs/1903.04630v1
• [cs.CV]GOGGLES: Automatic Training Data Generation with Affinity Coding
Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
http://arxiv.org/abs/1903.04552v1
• [cs.CV]Generating superpixels using deep image representations
Thomas Verelst, Matthew Blaschko, Maxim Berman
http://arxiv.org/abs/1903.04586v1
• [cs.CV]Image Classification base on PCA of Multi-view Deep Representation
Yaoqi Sun, Liang Li, Liang Zheng, Ji Hu, Yatong Jiang, Chenggang Yan
http://arxiv.org/abs/1903.04814v1
• [cs.CV]Knowledge Adaptation for Efficient Semantic Segmentation
Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
http://arxiv.org/abs/1903.04688v1
• [cs.CV]MTRNet: A Generic Scene Text Eraser
Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivipalan, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1903.04092v2
• [cs.CV]Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition
Yuhang Wu, Ioannis A. Kakadiaris
http://arxiv.org/abs/1903.04752v1
• [cs.CV]Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
Arash Akbarinia, Karl R. Gegenfurtner
http://arxiv.org/abs/1903.04772v1
• [cs.CV]Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis
Chao Gou, Tianyu Shen, Wenbo Zheng, Oliver Kwan, Fei-Yue Wang
http://arxiv.org/abs/1903.04855v1
• [cs.CV]Placental Flattening via Volumetric Parameterization
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland
http://arxiv.org/abs/1903.05044v1
• [cs.CV]Quality-Gated Convolutional LSTM for Enhancing compressed video
Ren Yang, Xiaoyan Sun, Mai Xu, Wenjun Zeng
http://arxiv.org/abs/1903.04596v1
• [cs.CV]Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng
http://arxiv.org/abs/1903.04778v1
• [cs.CV]Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu
http://arxiv.org/abs/1903.03911v2
• [cs.CV]Structured Knowledge Distillation for Semantic Segmentation
Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
http://arxiv.org/abs/1903.04197v2
• [cs.CV]The Unconstrained Ear Recognition Challenge 2019 - ArXiv version With Appendix
Žiga Emeršič, Aruna Kumar S. V., B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi Khiarak, Andrzej Pacut, Earnest Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazım Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Banshidhar Majhi, Peter Peer, Vitomir Štruc
http://arxiv.org/abs/1903.04143v2
• [cs.CV]Transfer Adaptation Learning: A Decade Survey
Lei Zhang
http://arxiv.org/abs/1903.04687v1
• [cs.CV]Unsupervised motion saliency map estimation based on optical flow inpainting
L. Maczyta, P. Bouthemy, O. Le Meur
http://arxiv.org/abs/1903.04842v1
• [cs.CY]Analysis of the use of smart cards on the urban railway
Dmitry Namiot, Oleg Pokusaev, Vasily Kupriyanovsky
http://arxiv.org/abs/1903.03851v1
• [cs.DC]Analyzing the Impact of GDPR on Storage Systems
Vinay Banakar, Aashaka Shah, Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram
http://arxiv.org/abs/1903.04880v1
• [cs.DC]Decentralized Smart Surveillance through Microservices Platform
Seyed Yahya Nikouei, Ronghua Xu, Yu Chen, Alex Aved, Erik Blasch
http://arxiv.org/abs/1903.04563v1
• [cs.DC]Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment
Wei Du, Tao Lei, Qiang He, Wei Liu, Qiwang Lei, Hailiang Zhao, Wei Wang
http://arxiv.org/abs/1903.04709v1
• [cs.IR]Challenges in Search on Streaming Services: Netflix Case Study
Sudarshan Lamkhede, Sudeep Das
http://arxiv.org/abs/1903.04638v1
• [cs.IR]Extracting localized information from a Twitter corpus for flood prevention
Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier
http://arxiv.org/abs/1903.04748v1
• [cs.IR]SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm
Wei Peng, Baogui Xin
http://arxiv.org/abs/1903.04489v1
• [cs.IT]Age of Information in a Multiple Access Channel with Heterogeneous Traffic and an Energy Harvesting Node
Zheng Chen, Nikolaos Pappas, Emil Björnson, Erik G. Larsson
http://arxiv.org/abs/1903.05066v1
• [cs.IT]Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test
Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
http://arxiv.org/abs/1903.04766v1
• [cs.IT]Bit-Interleaved Coded Multiple Beamforming in Millimeter-Wave Massive MIMO Systems
Sadjad Sedighi, Ender Ayanoglu
http://arxiv.org/abs/1903.04693v1
• [cs.IT]Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN
An Liu, Xihan Chen, Wei Yu, Vincent Lau, Min-Jian Zhao
http://arxiv.org/abs/1903.04692v1
• [cs.LG]Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification
Scott E. Coull, Christopher Gardner
http://arxiv.org/abs/1903.04717v1
• [cs.LG]Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty
Michael Lingzhi Li, Elliott Wolf, Daniel Wintz
http://arxiv.org/abs/1903.05063v1
• [cs.LG]Communication-efficient distributed SGD with Sketching
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
http://arxiv.org/abs/1903.04488v1
• [cs.LG]Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
http://arxiv.org/abs/1903.04566v1
• [cs.LG]Deep Log-Likelihood Ratio Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
http://arxiv.org/abs/1903.04656v1
• [cs.LG]Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
http://arxiv.org/abs/1903.04959v1
• [cs.LG]Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
Guy Shtar, Lior Rokach, Bracha Shapira
http://arxiv.org/abs/1903.04571v1
• [cs.LG]Embarrassingly parallel MCMC using deep invertible transformations
Diego Mesquita, Paul Blomstedt, Samuel Kaski
http://arxiv.org/abs/1903.04556v1
• [cs.LG]Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks
Omer Berat Sezer, Ahmet Murat Ozbayoglu
http://arxiv.org/abs/1903.04610v1
• [cs.LG]Generating Compact Geometric Track-Maps for Train Positioning Applications
Hanno Winter, Stefan Luthardt, Volker Willert, Jürgen Adamy
http://arxiv.org/abs/1903.05014v1
• [cs.LG]Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Henrique Lemos, Marcelo Prates, Pedro Avelar, Luis Lamb
http://arxiv.org/abs/1903.04598v1
• [cs.LG]Imitation Learning of Factored Multi-agent Reactive Models
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
http://arxiv.org/abs/1903.04714v1
• [cs.LG]Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
Xiaobai Ma, Katherine Driggs-Campbell, Mykel J. Kochenderfer
http://arxiv.org/abs/1903.03642v1
• [cs.LG]Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon
http://arxiv.org/abs/1903.04860v1
• [cs.LG]Learning Edge Properties in Graphs from Path Aggregations
Rakshit Agrawal, Luca de Alfaro
http://arxiv.org/abs/1903.04613v1
• [cs.LG]Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li
http://arxiv.org/abs/1903.04527v1
• [cs.LG]Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
http://arxiv.org/abs/1903.04561v1
• [cs.LG]Online Human Activity Recognition Employing Hierarchical Hidden Markov Models
Parviz Asghari, Elnaz Soelimani, Ehsan Nazerfard
http://arxiv.org/abs/1903.04820v1
• [cs.LG]Open-Set Recognition Using Intra-Class Splitting
Patrick Schlachter, Yiwen Liao, Bin Yang
http://arxiv.org/abs/1903.04774v1
• [cs.LG]Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson
http://arxiv.org/abs/1903.04703v1
• [cs.LG]Tensor Grid Decomposition with Application to Tensor Completion
Huyan Huang, Yipeng Liu, Ce Zhu
http://arxiv.org/abs/1903.04735v1
• [cs.LG]Theory III: Dynamics and Generalization in Deep Networks
Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso Poggio
http://arxiv.org/abs/1903.04991v1
• [cs.LO]Probabilistic Temporal Logic over Finite Traces (Technical Report)
Fabrizio M. Maggi, Marco Montali, Rafael Peñaloza
http://arxiv.org/abs/1903.04940v1
• [cs.NE]Efficient Optimization of Echo State Networks for Time Series Datasets
Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas
http://arxiv.org/abs/1903.05071v1
• [cs.NE]NeuroCore: Guiding CDCL with Unsat-Core Predictions
Daniel Selsam, Nikolaj Bjørner
http://arxiv.org/abs/1903.04671v1
• [cs.RO]An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners
Dimitri A. Schreiber, Daniel B. Shak, Alexander M. Norbash, Michael C. Yip
http://arxiv.org/abs/1903.04646v1
• [cs.RO]Blackbox End-to-End Verification of Ground Robot Safety and Liveness
Brandon Bohrer, Yong Kiam Tan, Stefan Mitsch, Andrew Sogokon, André Platzer
http://arxiv.org/abs/1903.05073v1
• [cs.RO]Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory
Minju Jung, Takazumi Matsumoto, Jun Tani
http://arxiv.org/abs/1903.04932v1
• [cs.RO]Information correlated Lévy walk exploration and distributed mapping using a swarm of robots
Ragesh K. Ramachandran, Zahi Kakish, Spring Berman
http://arxiv.org/abs/1903.04836v1
• [cs.RO]Proceedings of the Fifth International Conference on Cloud and Robotics (ICCR2018)
Huaxi, Zhang, Jacques Malenfant
http://arxiv.org/abs/1903.04824v1
• [cs.RO]Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps
Payam Nikdel, Richard Vaughan
http://arxiv.org/abs/1903.03669v1
• [cs.RO]Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams
Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme
http://arxiv.org/abs/1903.04856v1
• [cs.RO]Siamese Convolutional Neural Network for Sub-millimeter-accurate Camera Pose Estimation and Visual Servoing
Cunjun Yu, Zhongang Cai, Hung Pham, Quang-Cuong Pham
http://arxiv.org/abs/1903.04713v1
• [cs.RO]Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme
http://arxiv.org/abs/1903.04628v1
• [cs.RO]UAV/UGV Autonomous Cooperation: UAV Assists UGV to Climb a Cliff by Attaching a Tether
Takahiro Miki, Petr Khrapchenkov, Koichi Hori
http://arxiv.org/abs/1903.04898v1
• [cs.SD]Progressive Generative Adversarial Binary Networks for Music Generation
Manan Oza, Himanshu Vaghela, Kriti Srivastava
http://arxiv.org/abs/1903.04722v1
• [cs.SI]Characterization of Local Attitudes Toward Immigration Using Social Media
Yerka Freire, Eduardo Graells-Garrido
http://arxiv.org/abs/1903.05072v1
• [cs.SI]What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta
http://arxiv.org/abs/1903.04879v1
• [cs.SY]Control Barrier Functions for Systems with High Relative Degree
Wei Xiao, Calin Belta
http://arxiv.org/abs/1903.04706v1
• [cs.SY]Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs
Wei Ma, Xidong Pi, Sean Qian
http://arxiv.org/abs/1903.04681v1
• [eess.AS]Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Peidong Wang, Ke Tan, DeLiang Wang
http://arxiv.org/abs/1903.04567v1
• [eess.IV]AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks
Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das
http://arxiv.org/abs/1903.04659v1
• [eess.SP]Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Ben Bartlett, Sunil Pai, Shanhui Fan
http://arxiv.org/abs/1903.04579v1
• [eess.SP]Satellite Based IoT for MC Applications
Sudhir Routray, Abhishek Javali, Laxmi Sharma, Richa Tengshe, Sutapa Sarkar, Aritri Ghosh
http://arxiv.org/abs/1903.04844v1
• [math.CO]The Iterated Local Model for Social Networks
Anthony Bonato, Huda Chuangpishit, Sean English, Bill Kay, Erin Meger
http://arxiv.org/abs/1903.04523v1
• [math.NA]A total variation based regularizer promoting piecewise-Lipschitz reconstructions
Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
http://arxiv.org/abs/1903.05079v1
• [math.OC]Accelerated Learning in the Presence of Time Varying Features with Applications to Machine Learning and Adaptive Control
Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy, Michael A. Bolender
http://arxiv.org/abs/1903.04666v1
• [math.OC]An Efficient Augmented Lagrangian Based Method for Constrained Lasso
Zengde Deng, Anthony Man-Cho So
http://arxiv.org/abs/1903.05006v1
• [math.PR]Calibrating dependence between random elements
Abram M. Kagan, Gabor J. Székely
http://arxiv.org/abs/1903.04663v1
• [math.PR]The Inverse first passage time method for a two compartment model as a tool to relate Inverse Gaussian and Gamma spike distributions
Alessia Civallero, Cristina Zucca
http://arxiv.org/abs/1903.04927v1
• [math.ST]ECKO: Ensemble of Clustered Knockoffs for multivariate inference on fMRI data
Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion
http://arxiv.org/abs/1903.04955v1
• [math.ST]The All-or-Nothing Phenomenon in Sparse Linear Regression
Galen Reeves, Jiaming Xu, Ilias Zadik
http://arxiv.org/abs/1903.05046v1
• [math.ST]The limits of distribution-free conditional predictive inference
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, Ryan J. Tibshirani
http://arxiv.org/abs/1903.04684v1
• [physics.soc-ph]A subset selection based approach to finding important structure of complex networks
Richa Tripathi, Amit Reza
http://arxiv.org/abs/1903.04649v1
• [q-bio.GN]conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads
Angana Chakraborty, Sanghamitra Bandyopadhyay
http://arxiv.org/abs/1903.04925v1
• [q-fin.PM]Financial Applications of Gaussian Processes and Bayesian Optimization
Joan Gonzalvez, Edmond Lezmi, Thierry Roncalli, Jiali Xu
http://arxiv.org/abs/1903.04841v1
• [stat.AP]Analysis of the AOK Lower Saxony hospitalisation records data (years 2008 -- 2015)
Monika J. Piotrowska, Konrad Sakowski
http://arxiv.org/abs/1903.04701v1
• [stat.AP]The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation
Ethan Lawler, Kim Whoriskey, William H. Aeberhard, Chris Field, Joanna Mills Flemming
http://arxiv.org/abs/1903.04999v1
• [stat.CO]ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
John Muschelli
http://arxiv.org/abs/1903.04881v1
• [stat.ME]Causal organic direct and indirect effects: closer to Baron and Kenny
Judith J. Lok
http://arxiv.org/abs/1903.04697v1
• [stat.ME]Discrete factor analysis
Rolf Larsson
http://arxiv.org/abs/1903.04919v1
• [stat.ME]Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions
Michael P. B. Gallaugher, Yang Tang, Paul D. McNicholas
http://arxiv.org/abs/1903.05054v1
• [stat.ME]Generalized Sparse Additive Models
Asad Haris, Noah Simon, Ali Shojaie
http://arxiv.org/abs/1903.04641v1
• [stat.ME]Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
John R. Tipton, Mevin B. Hooten, Connor Nolan, Robert K. Booth, Jason McLachlan
http://arxiv.org/abs/1903.05036v1
• [stat.ML]Elements of Sequential Monte Carlo
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
http://arxiv.org/abs/1903.04797v1
• [stat.ML]Imputation estimators for unnormalized models with missing data
Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
http://arxiv.org/abs/1903.03630v1
• [stat.ML]Testing Conditional Independence on Discrete Data using Stochastic Complexity
Alexander Marx, Jilles Vreeken
http://arxiv.org/abs/1903.04829v1
• [stat.ML]Wavelet regression and additive models for irregularly spaced data
Asad Haris, Noah Simon, Ali Shojaie
http://arxiv.org/abs/1903.04631v1
网友评论