How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS

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Original

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Original

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Original

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Neural Architecture Search with Reinforcement Learning

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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Original

H. Cai, L. Zhu, and S. Han · 2018

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Neural architecture search with bayesian optimisation and optimal transport

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Progressive neural architecture search

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Efficient neural architecture search via parameter sharing

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Cited alongside, same era.

Regularized evolution for image classifier architecture search

Original

E. Real, A. Aggarwal, Y. Huang, and Q. V. Le · 2018

Cited alongside, same era.

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Original

B. Wu, X. Dai, P. Zhang, Y. Wang, F. Sun, Y. Wu, Y. Tian, P. Vajda, Y. Jia, and K. Keutzer · 2018

Cited alongside, same era.

SNAS: Stochastic neural architecture search

Original

S. Xie, H. Zheng, C. Liu, and L. Lin · 2018

Cited alongside, same era.

Shufflenet: An extremely efficient convolutional neural network for mobile devices

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On Network Design Spaces for Visual Recognition

I. Radosavovic, J. Johnson, S. Xie, W.-Y. Lo, and P. Dollár · 2019

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The evolved transformer

D. R. So, C. Liang, and Q. V. Le · 2019

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NAS-Bench-101: Towards reproducible neural architecture search

Original

C. Ying, A. Klein, E. Real, E. Christiansen, K. Murphy, and F. Hutter · 2019

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BayesNAS: A bayesian approach for neural architecture search

H. Zhou, M. Yang, J. Wang, and W. Pan · 2019

Later among the works it cites.

Once for all: Train one network and specialize it for efficient deployment

H. Cai, C. Gan, T. Wang, Z. Zhang, and S. Han · 2020

Closest in time.

NAS-Bench-201: Extending the scope of reproducible neural architecture search

X. Dong and Y. Yang · 2020