THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search-Reference-Cited by-同舟云学术

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THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search

Published:2024-07-14 Issue: Volume:33 Page:1128-1136
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Short-container-title:

Author:

Thanh Tran Hai¹^ORCID,Doan Long²^ORCID,Luong Ngoc Hoang³⁴^ORCID,Huynh Thi Thanh Binh¹^ORCID

Affiliation:

1. Hanoi University of Science and Technology, Hanoi, Vietnam

2. George Mason University, Virginia, United States of America

3. University of Information Technology (UIT), VNU-HCM, Ho Chi Minh City, Vietnam

4. Vietnam National University - Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam

Funder

Vingroup Innovation Foundation

Publisher

ACM

Reference26 articles.

1. Mohamed S Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, and Nicholas D Lane. 2021. Zero-cost proxies for lightweight nas. arXiv preprint arXiv:2101.08134 (2021).

2. Han Cai, Ligeng Zhu, and Song Han. 2018. Proxylessnas: Direct neural architecture search on target task and hardware. arXiv preprint arXiv:1812.00332 (2018).

3. Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild

4. Patryk Chrabaszcz, Ilya Loshchilov, and Frank Hutter. 2017. A downsampled variant of imagenet as an alternative to the cifar datasets. arXiv preprint arXiv:1707.08819 (2017).

5. J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.

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