Neural architecture search using network embedding and generative adversarial networks

Abstract Surrogate models are used by recently proposed algorithms as a means of forecasting neural architecture performance. Rather than training the network from scratch, which speeds up evaluation of performance in the search for neural architecture. However, collecting a sufficient number of lab...

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Hlavní autoři:	Morteza Yousefi, Vahid Mehrdad, Mohammad Bagher Dowlatshahi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-12-01
Edice:	Scientific Reports
Témata:	Neural architecture search (NAS) Particle swarm optimization (PSO) Generative adversarial networks (GAN) Surrogate model
On-line přístup:	https://doi.org/10.1038/s41598-025-30012-6
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