Knowledge Commons of Institute of Automation,CAS
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search | |
Zixiang, Ding1,2; Yaran, Chen1,2; Nannan, Li1,2; Dongbin, Zhao1,2 | |
发表期刊 | IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS |
2022-01 | |
卷号 | 0期号:0页码:0 |
摘要 | In this paper, we propose BNAS-v2 to further |
关键词 | Broad neural architecture search (BNAS), continuous relaxation, confident learning rate, partial channel connections, image classification. |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000750216400001 |
七大方向——子方向分类 | 强化与进化学习 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46597 |
专题 | 多模态人工智能系统全国重点实验室_深度强化学习 |
通讯作者 | Dongbin, Zhao |
作者单位 | 1.the School of Artificial Intelligence, University of Chinese Academy of Sciences 2.the State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zixiang, Ding,Yaran, Chen,Nannan, Li,et al. BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,2022,0(0):0. |
APA | Zixiang, Ding,Yaran, Chen,Nannan, Li,&Dongbin, Zhao.(2022).BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search.IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,0(0),0. |
MLA | Zixiang, Ding,et al."BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search".IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS 0.0(2022):0. |
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bnas_v2.pdf(7657KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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