A Causal Framework to Unify Common Domain Generalization Approaches

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 machine learning and has attracted much attention in recent years. A large number of approaches have been proposed....

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Bibliographische Detailangaben

Hauptverfasser:	Zhang, Nevin L, Li, Kaican, Gao, Han, Xie, Weiyan, Lin, Zhi, Li, Zhenguo, Wang, Luning, Huang, Yongxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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