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arXiv · 2404.02719

Can We Understand Plasticity Through Neural Collapse?

Guglielmo Bonifazi·Iason Chalas·Gian Hess·Jakub Łucki
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Abstract

This paper explores the connection between two recently identified phenomena in deep learning: plasticity loss and neural collapse. We analyze their correlation in different scenarios, revealing a significant association during the initial training phase on the first task. Additionally, we introduce a regularization approach to mitigate neural collapse, demonstrating its effectiveness in alleviating plasticity loss in this specific setting.

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Guglielmo Bonifazi, Iason Chalas, Gian Hess, Jakub Łucki. 2024-04-03. Can We Understand Plasticity Through Neural Collapse?. https://arxiv.org/abs/2404.02719

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