RASP: Regularization-based Amplitude Saliency Pruning.

Zhen, Chenghui; Zhang, Weiwei; Mo, Jian; Ji, Ming; Zhou, Hongbo; Zhu, Jianqing

Zhen, Chenghui; Zhang, Weiwei; Mo, Jian; Ji, Ming; Zhou, Hongbo; Zhu, Jianqing.

Afiliação

Zhen C; College of Information Science and Engineering, Huaqiao University, Xiamen, 361021, Fujian, China. Electronic address: chzhen@stu.hqu.edu.cn.
Zhang W; College of Engineering, Huaqiao University, Quanzhou, 362021, Fujian, China. Electronic address: weiweizh@hqu.edu.cn.
Mo J; College of Engineering, Huaqiao University, Quanzhou, 362021, Fujian, China. Electronic address: 1895111020@hqu.edu.cn.
Ji M; College of Engineering, Huaqiao University, Quanzhou, 362021, Fujian, China. Electronic address: jiming@stu.hqu.edu.cn.
Zhou H; College of Engineering, Huaqiao University, Quanzhou, 362021, Fujian, China; Intelligent Software Research Center, Institute of Software Chinese Academy of Sciences, 100190, Beijing, China. Electronic address: zhouhongbo@iscas.ac.cn.
Zhu J; College of Engineering, Huaqiao University, Quanzhou, 362021, Fujian, China. Electronic address: jqzhu@hqu.edu.cn.

Neural Netw ; 168: 1-13, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37734135

Assuntos

Benchmarking; Redes Neurais de Computação

Palavras-chave

Filter pruning; Model compression; Pruning criterion; Regularization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Benchmarking Tipo de estudo: Prognostic_studies Idioma: En Revista: Neural Netw Ano de publicação: 2023 Tipo de documento: Article

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