Automatic Subspace Evoking for Efficient Neural Architecture Search

Neural Architecture Search (NAS) aims to automatically find effective architectures from a predefined search space. However, the search space is often extremely large. As a result, directly searching in such a large search space is non-trivial and also very time-consuming. To address the above issue...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Chen, Yaofo, Guo, Yong, Liao, Daihai, Lv, Fanbing, Song, Hengjie, Tan, Mingkui
Format:	Artikel
Sprache:	eng
Schlagworte:	Search methods Subspaces
Online-Zugang:	Volltext
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