zhuyiche / awesome-architecture-search

A curated list of awesome architecture search resources

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Awesome Architecture Search Awesome

A curated list of awesome architecture search and hyper-parameter optimization resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning and awesome-deep-learning-papers.

Hyper-parameter optimization has always been a popular field in the Machine Learning community, architecture search just emerges as a rising star in recent years. These are some of the awesome resources!

Table of Contents

Architecture Search

Reinforcement Learning

  • Neural Architecture Search with Reinforcement Learning [pdf]
    • Barret Zoph and Quoc V. Le. ICLR'17
  • Designing Neural Network Architectures Using Reinforcement Learning [pdf] [code]
    • Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar. ICLR'17
  • Efficient Architecture Search by Network Transformation [pdf] [code]
    • Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang. AAAI'18
  • Learning Transferable Architectures for Scalable Image Recognition [pdf] [nasnet]
    • Barret Zoph, Vijay Vasudevan, Jonathan Shlens, Quoc V. Le. Arxiv 1707
  • Practical Network Blocks Design with Q-Learning [pdf]
    • Zhao Zhong, Junjie Yan, Cheng-Lin Liu. CVPR'18
  • Efficient Neural Architecture Search via Parameter Sharing [pdf] [code (not official)] [code (official)]
    • Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean. Arxiv 1802
  • Path-Level Network Transformation for Efficient Architecture Search [pdf] [code]
    • Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu. ICML'18

Evolutionary Algorithm

  • Large-Scale Evolution of Image Classifiers [pdf]
    • Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc Le, Alex Kurakin. ICML'17
  • Genetic CNN [pdf] [code]
    • Lingxi Xie and Alan Yuille. ICCV'17
  • Hierarchical Representations for Efficient Architecture Search [pdf]
    • Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu. ICLR'18
  • Regularized Evolution for Image Classifier Architecture Search [pdf]
    • Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V Le. Arxiv 1802


  • Neural Architecture Optimization [pdf] [code]
    • Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu. Arxiv 1808
  • DeepArchitect: Automatically Designing and Training Deep Architectures [pdf] [code]
    • Renato Negrinho and Geoff Gordon. Arxiv 1704
  • SMASH: One-Shot Model Architecture Search through HyperNetworks [pdf] [code]
    • Andrew Brock, Theodore Lim, J.M. Ritchie, Nick Weston. ICLR'18
  • Simple and efficient architecture search for Convolutional Neural Networks [pdf]
    • Thomas Elsken, Jan-Hendrik Metzen, Frank Hutter. ICLR'18 Workshop
  • Progressive Neural Architecture Search [pdf]
    • Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy. Arxiv 1712
  • DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures [pdf]
    • Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun. ECCV'18
  • Neural Architecture Search with Bayesian Optimisation and Optimal Transport [pdf]
    • Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabas Poczos, Eric Xing. Arxiv 1802
  • Effective Building Block Design for Deep Convolutional Neural Networks using Search [pdf]
    • Jayanta K Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah. Arxiv 1801
  • DARTS: Differentiable Architecture Search [pdf] [code]
    • Hanxiao Liu, Karen Simonyan, Yiming Yang. Arxiv 1806
  • Efficient Neural Architecture Search with Network Morphism [pdf] [code]
    • Haifeng Jin, Qingquan Song, Xia Hu. Arxiv 1806
  • Searching for Efficient Multi-Scale Architectures for Dense Image Prediction [pdf]
    • Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens. Arxiv 1809

Hyper-Parameter Search

  • Speeding up Automatic Hyperparameter Optimization of Deep Neural Networksby Extrapolation of Learning Curves [pdf] [code]
    • Tobias Domhan, Jost Tobias Springenberg, Frank Hutter. IJCAI'15
  • Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization [pdf]
    • Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar. ICLR'17
  • Learning Curve Prediction with Bayesian Neural Networks [pdf]
    • Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter. ICLR'17
  • Accelerating Neural Architecture Search using Performance Prediction [pdf]
    • Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik. ICLR'18 Workshop
  • Hyperparameter Optimization: A Spectral Approach [pdf] [code]
    • Elad Hazan, Adam Klivans, Yang Yuan. NIPS DLTP Workshop 2017
  • Population Based Training of Neural Networks [pdf]
    • Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu. Arxiv 1711


We Need You!

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Markdown format:

- Paper Name [[pdf]](link) [[code]](link)
  - Author 1, Author 2, Author 3. *Conference'Year*



To the extent possible under law, Mark Dong has waived all copyright and related or neighboring rights to this work.


A curated list of awesome architecture search resources