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Jul, 2023
统一常用领域泛化方法的因果框架
A Causal Framework to Unify Common Domain Generalization Approaches
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Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin...
TL;DR
本研究提出了一种因果框架来研究领域泛化问题,希望通过对领域泛化的统一视角,帮助研究人员更好地理解其基本原理并发展出更有效的机器学习方法。
Abstract
domain
generalization
(DG) is about learning models that generalize well to new domains that are related to, but different from, the training domain(s). It is a fundamental problem in
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