Architecture Search
Architecture Search is a systematic methodology within design space exploration that identifies optimal architectural configurations by differentiating candidate structures according to performance, efficiency, and constraint satisfaction criteria.
889
Publications
77.1K
Citations
2.9K
Authors
645
Institutions
Publications per year
2017–2026
839
Parents
889
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le · arXiv (Cornell University) · 2016 · 3.9K citations · Full text
Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang et al. · 2019 · 2.7K citations
Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter · arXiv (Cornell University) · 2018 · 1.4K citations · Full text
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645
Google (United States)
Mountain View, United States
26 h-index
166 publications
54.3K citations
University of Chinese Academy of Sciences
Beijing, China
22 h-index
60 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
54 publications
2.6K citations

Peking University
Beijing, China
18 h-index
65 publications
3.9K citations
Tsinghua University
Beijing, China
18 h-index
65 publications
2.2K citations
Peng Cheng Laboratory
Shenzhen, China
17 h-index
41 publications
2.1K citations
Huawei Technologies (Sweden)
Stockholm, Sweden
16 h-index
66 publications
6.1K citations

University of Surrey
Guildford, United Kingdom
15 h-index
25 publications
1.9K citations
1–8 of 645
Repository · 254 publications · 30K citations
61
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Conference · 22 publications · 2.1K citations
18
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TPAMI · 18 publications · 2.1K citations
17
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18 publications · 1.2K citations
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15 publications · 1.1K citations
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