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pro vyhledávání: '"Musat, Bogdan"'
Autor:
Musat, Bogdan, Andonie, Razvan
In recent years, pruning has emerged as a popular technique to reduce the computational complexity and memory footprint of Convolutional Neural Network (CNN) models. Mutual Information (MI) has been widely used as a criterion for identifying unimport
Externí odkaz:
http://arxiv.org/abs/2312.04926
Autor:
Musat, Bogdan, Andonie, Razvan
Structural pruning has become an integral part of neural network optimization, used to achieve architectural configurations which can be deployed and run more efficiently on embedded devices. Previous results showed that pruning is possible with mini
Externí odkaz:
http://arxiv.org/abs/2312.04918
Autor:
Musat, Bogdan, Andonie, Razvan
Publikováno v:
Entropy 2020, 22(12), 1365
Convolutional neural networks utilize a hierarchy of neural network layers. The statistical aspects of information concentration in successive layers can bring an insight into the feature abstraction process. We analyze the saliency maps of these lay
Externí odkaz:
http://arxiv.org/abs/2104.10931
Autor:
Musat, Bogdan
Publikováno v:
Concept. (1-2):52-60
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=877200
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