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Coreset of a given dataset and loss function is usually a small weighed set that approximates this loss for every query from a given set of queries. Coresets have shown to be very useful in many applications. However, coresets construction is done in
Externí odkaz:
http://arxiv.org/abs/2111.03044
Model compression is crucial for deployment of neural networks on devices with limited computational and memory resources. Many different methods show comparable accuracy of the compressed model and similar compression rates. However, the majority of
Externí odkaz:
http://arxiv.org/abs/2008.08316
Previous work showed empirically that large neural networks can be significantly reduced in size while preserving their accuracy. Model compression became a central research topic, as it is crucial for deployment of neural networks on devices with li
Externí odkaz:
http://arxiv.org/abs/1907.04018
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; 2024, Vol. 35 Issue: 5 p6893-6905, 13p
Akademický článek
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Autor:
Mussay, Ben1 (AUTHOR) bengordoncshaifa@gmail.com, Feldman, Dan1 (AUTHOR) dannyf.post@gmail.com, Zhou, Samson2 (AUTHOR) samsonzhou@gmail.com, Braverman, Vladimir3 (AUTHOR) vova@cs.jhu.edu, Osadchy, Margarita1 (AUTHOR) rita@cs.haifa.ac.il
Publikováno v:
IEEE Transactions on Neural Networks & Learning Systems. Dec2022, Vol. 33 Issue 12, p7829-7841. 13p.