An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification

Author:

Yuan Gonglin1ORCID,Xue Bing1ORCID,Zhang Mengjie1ORCID

Affiliation:

1. School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

Publisher

ACM

Reference47 articles.

1. Elitism-based compact genetic algorithms

2. Bowen Baker , Otkrist Gupta , Nikhil Naik , and Ramesh Raskar . 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 ( 2016 ). Bowen Baker, Otkrist Gupta, Nikhil Naik, and Ramesh Raskar. 2016. Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016).

3. Gabriel Bender , Pieter-Jan Kindermans , Barret Zoph , Vijay Vasudevan , and Quoc Le . 2018 . Understanding and Simplifying One-Shot Architecture Search . In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research , Vol. 80), Jennifer Dy and Andreas Krause (Eds.). PMLR, 550-- 559 . https://proceedings.mlr.press/v80/bender18a.html Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc Le. 2018. Understanding and Simplifying One-Shot Architecture Search. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 80), Jennifer Dy and Andreas Krause (Eds.). PMLR, 550--559. https://proceedings.mlr.press/v80/bender18a.html

4. Efficient Architecture Search by Network Transformation

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

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NAS-SW: Efficient Neural Architecture Search with Stage-Wise Search Strategy;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3