STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search-Reference-Cited by-同舟云学术

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STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search

Published:2024-06 Issue:3 Volume:8 Page:2324-2335
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Cai Zicheng¹,Chen Lei¹^ORCID,Ling Tongtao¹,Liu Hai-Lin¹^ORCID

Affiliation:

1. School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Programme of Science and Technology of Guangdong Province

Programme of Science and Technology of Guangzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10538459/10440128.pdf?arnumber=10440128

Reference46 articles.

1. MnasNet: Platform-Aware Neural Architecture Search for Mobile

2. Darts-: Robustly stepping out of performance collapse without indicators;Chu,2020

3. Once-for-all: Train one network and specialize it for efficient deployment;Cai;CoRR,2019

4. HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

5. ImageNet classification with deep convolutional neural networks

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