Surrogate-assisted evolutionary neural architecture search with network embedding
Abstract To accelerate the performance estimation in neural architecture search, recently proposed algorithms adopt surrogate models to predict the performance of neural architectures instead of training the network from scratch. However, it is time-consuming to collect sufficient labeled architectu...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2022-12-01
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| coleção: | Complex & Intelligent Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s40747-022-00929-w |
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