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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |