计算机应用研究2025，Vol.42Issue(1)：11-18,8.DOI:10.19734/j.issn.1001-3695.2024.05.0172
神经架构搜索技术研究综述
Review of research on neural architecture search technology
摘要
Abstract
The purpose of NAS is to automatically optimize and generate high-performance network architectures for specific tasks,in order to reduce the dependence of architecture design on expert experience and human resource consumption in the architecture design process.It mainly includes three components:search space,search strategy,and evaluation strategy.Early NAS requires multiple GPUs to complete searches in multiple days,and the high search time and computational cost are the core issues of NAS.To help researchers quickly and comprehensively understand the field of NAS,this paper provided a new perspective to sort out existing NAS work.Firstly,this paper analyzed the early work of NAS and elucidated the core is-sues and their origins.Secondly,focusing on the three categories of methods to address the core issues of NAS:reducing the search space of architectures,decreasing the time for evaluating candidate architectures,and reducing the time for evaluating architectures,this paper conducted a targeted analysis,comparison,and summary of algorithms in this field.Finally,it sum-marized the main research directions in this field for future work.关键词
神经架构搜索/搜索范围/搜索时间/评估时间Key words
neural architecture search(NAS)/search scope/search time/evaluation time分类
计算机与自动化引用本文复制引用
武家辉,李科研,陈丽新,张家诺,刘帅兵,逯鹏..神经架构搜索技术研究综述[J].计算机应用研究,2025,42(1):11-18,8.基金项目
国家重点研发计划资助项目(2020YFC2006100) （2020YFC2006100）
河南省高等学校重点科研 资助项目(22A520009) （22A520009）
