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...

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Detalles Bibliográficos
Autores principales: Tessier, Hugo, Gripon, Vincent, Léonardon, Mathieu, Arzel, Matthieu, Hannagan, Thomas, Bertrand, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950981/
https://www.ncbi.nlm.nih.gov/pubmed/35324619
http://dx.doi.org/10.3390/jimaging8030064

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