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GPT-NAS:Neural Architecture Search Meets Generative Pre-Trained Transformer Model

Caiyang Yu Xianggen Liu Yifan Wang Yun Liu Wentao Feng Xiong Deng Chenwei Tang Jiancheng Lv

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：45-64,20.

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：45-64,20.DOI:10.26599/BDMA.2024.9020036

GPT-NAS:Neural Architecture Search Meets Generative Pre-Trained Transformer Model

Caiyang Yu ¹Xianggen Liu ¹Yifan Wang ¹Yun Liu ¹Wentao Feng ¹Xiong Deng ²Chenwei Tang ¹Jiancheng Lv¹

作者信息

1. College of Computer Science,and Engineering Research Center of Machine Learning and Industry Intelligence(affiliated to the Ministry of Education),Sichuan University,Chengdu 610065,China
2. Department of Mechanical Engineering,Stevens Institute of Technology,Hoboken,NJ 07030,USA
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摘要

关键词

Neural Architecture Search(NAS)/Generative Pre-trained Transformer(GPT)model/evolutionary algorithm/image classification

Key words

Neural Architecture Search(NAS)/Generative Pre-trained Transformer(GPT)model/evolutionary algorithm/image classification

引用本文复制引用

Caiyang Yu,Xianggen Liu,Yifan Wang,Yun Liu,Wentao Feng,Xiong Deng,Chenwei Tang,Jiancheng Lv..GPT-NAS:Neural Architecture Search Meets Generative Pre-Trained Transformer Model[J].大数据挖掘与分析（英文版）,2025,8(1):45-64,20.

基金项目

This work was supported by the National Nature Science Foundation of China(No.62106161),the Fundamental Research Funds for the Central Universities(No.1082204112364),the Sichuan University Luzhou Municipal Government Strategic Cooperation Project(No.2022CDLZ-8),the Key R&D Program of Sichuan Province(Nos.2022YFN0017 and 2023YFG0019),the Natural Science Foundation of Sichuan(No.2023NSFSC0474),the Tianfiu Yongxing Laboratory Organized Research Project Funding(No.2023CXXM14),and the Digital Media Art,Key Laboratory of Sichuan Province,Sichuan Conservatory of Music(No.22DMAKL04). （No.62106161）

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