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May, 2024
机器学习及其之后的遗忘:一项调研
"Forgetting" in Machine Learning and Beyond: A Survey
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Alyssa Shuang Sha, Bernardo Pereira Nunes, Armin Haller
TL;DR
这份论文调查了机器学习中遗忘的多方面本质,从神经科学研究中得出结论,认为遗忘是一种适应性功能而非缺陷,它能增强学习过程,防止过拟合,并与各种机器学习子领域的应用联系,以提高模型性能和增强数据隐私。此外,本文还讨论了将遗忘机制整合到机器学习模型中所面临的当前挑战、未来方向和伦理考虑。
Abstract
This survey investigates the multifaceted nature of
forgetting
in
machine learning
, drawing insights from neuroscientific research that posits
fo
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