awesome-AutoML 
A curated list of Meta-Learning resources. Inspired by awesome-meta-learning, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.
Please feel free to pull requests or open an issue to add papers.
Papers and Code
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Exploring Randomly Wired Neural Networks for Image Recognition. Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He.
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Neural Architecture Optimization. Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu.
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Probabilistic Neural Architecture Search. Francesco Paolo Casale, Jonathan Gordon, Nicolo Fusi.
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Fast Task-Aware Architecture Inference. Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gabor Bartok, Jesse Berent.
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NAS-Bench-101: Towards Reproducible Neural Architecture Search. Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter.
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Evaluating the Search Phase of Neural Architecture Search.Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann.
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Random Search and Reproducibility for Neural Architecture Search Liam Li, Ameet Talwalkar
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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. Han Cai, Ligeng Zhu, Song Han.
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SMASH: One-Shot Model Architecture Search through HyperNetworks.Andrew Brock, Theodore Lim, J.M. Ritchie, Nick Weston.
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Understanding and Simplifying One-Shot Architecture Search. Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc Le
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SNAS: Stochastic Neural Architecture Search. Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin. ICLR2019.
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Efficient Architecture Search by Network Transformation. Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang.
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Designing Neural Network Architectures using Reinforcement Learning. Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar. Caffe
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Learning Transferable Architectures for Scalable Image Recognition. Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le. TF
PyTorch -
Progressive Neural Architecture Search. Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy. Keras
TF -
Efficient Neural Architecture Search via Parameter Sharing. Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean. TF
PyTorch -
DARTS: Differentiable Architecture Search. Hanxiao Liu, Karen Simonyan, Yiming Yang. Pytorch
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Practical Block-wise Neural Network Architecture Generation. Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu.
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Large-Scale Evolution of Image Classifiers. Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc Le, Alex Kurakin.
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Neural Architecture Search with Reinforcement Learning. Barret Zoph, Quoc V. Le.
Tutorials and slides
- NeurIPS2018: Automatic Machine Learning.
- PNAS @ ECCV.
- What’s the deal with Neural Architecture Search?
Researchers and Labs
- Liam Li, CMU.
- Barret Zoph, Google Brain.
- Chenxi Liu. Johns Hopkins University.
- Bowen Baker. OpenAI.
- Hanxiao Liu. CMU.
- Song Han. MIT.