Cargando…
Rethinking Weight Decay for Efficient Neural Network Pruning
Introduced in the late 1980s for generalization purposes, pruning has now become a staple for compressing deep neural networks. Despite many innovations in recent decades, pruning approaches still face core issues that hinder their performance or scalability. Drawing inspiration from early work in t...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950981/ https://www.ncbi.nlm.nih.gov/pubmed/35324619 http://dx.doi.org/10.3390/jimaging8030064 |