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Weight sharing, as an approach to speed up architecture performance estimation has received wide attention.
The proof and measurement of association between two things
Charles Spearman · 1961
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Neural architecture search with reinforcement learning, 2016
Barret Zoph and Quoc V. Le · 2016
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Understanding and simplifying one-shot architecture search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc Le · 2018
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Efficient neural architecture search via parameters sharing
Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean · 2018
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Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2018
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ProxylessNAS: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2019
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Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
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Single path one-shot neural architecture search with uniform sampling
Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, and Jian Sun · 2019
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Can weight sharing outperform random architecture search? an investigation with tunas
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, and Quoc V Le · 2020
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How to train your super-net: An analysis of training heuristics in weight-sharing nas, 2020
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Scarlet-nas: Bridging the gap between stability and scalability in weight-sharing neural architecture search, 2019a
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Fairnas: Rethinking evaluation fairness of weight sharing neural architecture search, 2019b
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Nas evaluation is frustratingly hard, 2019a
Antoine Yang, Pedro M. Esperança, and Fabio M. Carlucci
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Cars: Continuous evolution for efficient neural architecture search, 2019b
Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu
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