Work

On the Compression of Neural Networks Using $\ell_0$-Norm Regularization and Weight Pruning

Year: 2021

Type: article

Abstract: -norm regularization to avoid overfitting as well as fine tuning to improve the performance of the pruned network. Experimental results are presented aiming to show the effectiveness of the proposed scheme as well as to make comparisons with competing approaches.

Source: PubMed

DOI: 10.48550/arxiv.2109.05075

Authors: Oliveira, Felipe Dennis de Resende, Batista, Eduardo Luiz Ortiz, Seara, Rui

Institution: Universidade Federal de Santa Catarina

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico

OpenAlex ID: W4286980206

FWCI: 0.076

Cites: 64

Cited by: 2

Related to: 10