Cluster-Based Structural Redundancy Identification for Neural Network Compression

The increasingly large structure of neural networks makes it difficult to deploy on edge devices with limited computing resources. Network pruning has become one of the most successful model compression methods in recent years. Existing works typically compress models based on importance, removing u...

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Detalles Bibliográficos
Autores principales: Wu, Tingting, Song, Chunhe, Zeng, Peng, Xia, Changqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857617/
https://www.ncbi.nlm.nih.gov/pubmed/36673149
http://dx.doi.org/10.3390/e25010009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857617/
https://www.ncbi.nlm.nih.gov/pubmed/36673149
http://dx.doi.org/10.3390/e25010009

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