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Random pruning: channel sparsity by expectation scaling factor

Pruning is an efficient method for deep neural network model compression and acceleration. However, existing pruning strategies, both at the filter level and at the channel level, often introduce a large amount of computation and adopt complex methods for finding sub-networks. It is found that there...

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Detalles Bibliográficos
Autores principales: Sun, Chuanmeng, Chen, Jiaxin, Li, Yong, Wang, Wenbo, Ma, Tiehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495938/
https://www.ncbi.nlm.nih.gov/pubmed/37705629
http://dx.doi.org/10.7717/peerj-cs.1564