Techniques for Automated Machine Learning

21 July 2019

Papers citing "Techniques for Automated Machine Learning"

49 / 49 papers shown

Title
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 104 182 0 07 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 67 263 0 11 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 129 1,457 0 02 Aug 2019
An Open Source AutoML Benchmark Pieter Gijsbers E. LeDell Janek Thomas Sébastien Poirier B. Bischl Joaquin Vanschoren VLM 63 240 0 01 Jul 2019
Efficient Neural Interaction Function Search for Collaborative Filtering Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho-Jui Hsieh 42 44 0 28 Jun 2019
A Survey on Neural Architecture Search Martin Wistuba Ambrish Rawat Tejaswini Pedapati AI4CE 57 258 0 04 May 2019
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles Charles Weill J. Gonzalvo Vitaly Kuznetsov Scott Yang Scott Yak ... Ghassen Jerfel Vladimir Macko Ben Adlam M. Mohri Corinna Cortes 33 21 0 30 Apr 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 46 109 0 29 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 66 100 0 22 Apr 2019
Automating Predictive Modeling Process using Reinforcement Learning Udayan Khurana Horst Samulowitz OffRL 38 4 0 02 Mar 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 80 683 0 25 Feb 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei SSeg 115 981 0 10 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 102 1,867 0 02 Dec 2018
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning Fei Qi Z. Xia Gaoyang Tang Hang Yang Yu Song Guangrui Qian Xiong An Chunhuan Lin Guangming Shi AI4CE 37 5 0 20 Nov 2018
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 62 259 0 31 Oct 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 77 654 0 22 Aug 2018
Benchmarking Automatic Machine Learning Frameworks Adithya Balaji A. Allen 58 72 0 17 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 82 1,091 0 31 Jul 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 209 903 0 13 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 206 1,098 0 04 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 199 4,355 0 24 Jun 2018
Autostacker: A Compositional Evolutionary Learning System Boyuan Chen Harvey Wu Warren Mo I. Chattopadhyay Hod Lipson BDL 41 84 0 02 Mar 2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search Masanori Suganuma Mete Ozay Takayuki Okatani 113 87 0 01 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 62 706 0 26 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 79 608 0 11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 113 2,764 0 09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 160 3,031 0 05 Feb 2018
Intriguing Properties of Adversarial Examples E. D. Cubuk Barret Zoph S. Schoenholz Quoc V. Le AAML 64 85 0 08 Nov 2017
Hierarchical Representations for Efficient Architecture Search Hanxiao Liu Karen Simonyan Oriol Vinyals Chrisantha Fernando Koray Kavukcuoglu 3DV 89 928 0 01 Nov 2017
Feature Engineering for Predictive Modeling using Reinforcement Learning Udayan Khurana Horst Samulowitz D. Turaga 68 187 0 21 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 177 5,605 0 21 Jul 2017
One button machine for automating feature engineering in relational databases Hoang Thanh Lam Johann-Michael Thiebaut M. Sinn Bei Chen Tiep Mai Öznur Alkan 59 95 0 01 Jun 2017
Probabilistic Matrix Factorization for Automated Machine Learning Nicolò Fusi Rishit Sheth Melih Elibol 51 135 0 15 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,858 0 17 Apr 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 125 1,641 0 03 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 468 5,373 0 05 Nov 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 328 2,876 0 26 Sep 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 246 3,216 0 15 Jun 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 74 549 0 23 May 2016
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science Randal S. Olson Nathan Bartley Ryan J. Urbanowicz J. Moore 48 530 0 20 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,247 0 03 Dec 2015
Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen Ian Goodfellow Jonathon Shlens 162 669 0 18 Nov 2015
A Review of Feature Selection Methods Based on Mutual Information J. Vergara P. Estévez 58 1,010 0 24 Sep 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 208 580 0 27 Feb 2015
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning T. Nickson Michael A. Osborne S. Reece Stephen J. Roberts 48 25 0 30 Jul 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 87 269 0 16 Jun 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,517 0 22 Mar 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,942 0 13 Jun 2012