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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Nature Portfolio
2025-12-01
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| Schriftenreihe: | Scientific Reports |
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| Online-Zugang: | https://doi.org/10.1038/s41598-025-30012-6 |
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