How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Pruning has emerged as a powerful technique for compressing deep neural networks, reducing memory usage and inference time without significantly affecting overall performance. However, the nuanced ways in which pruning impacts model behavior are not well understood, particularly for long-tailed, mul...

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Detalles Bibliográficos
Autores principales: Holste, Gregory, Jiang, Ziyu, Jaiswal, Ajay, Hanna, Maria, Minkowitz, Shlomo, Legasto, Alan C., Escalon, Joanna G., Steinberger, Sharon, Bittman, Mark, Shen, Thomas C., Ding, Ying, Summers, Ronald M., Shih, George, Peng, Yifan, Wang, Zhangyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543014/
https://www.ncbi.nlm.nih.gov/pubmed/37791108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543014/
https://www.ncbi.nlm.nih.gov/pubmed/37791108

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