Robustifying and Boosting Training-Free Neural Architecture Search

Neural architecture search (NAS) has become a key component of AutoML and a standard tool to automate the design of deep neural networks. Recently, training-free NAS as an emerging paradigm has successfully reduced the search costs of standard training-based NAS by estimating the true architecture p...

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Hauptverfasser:	He, Zhenfeng, Shu, Yao, Dai, Zhongxiang, Low, Bryan Kian Hsiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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