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Enhancing Compositional Generalization via Compositional Feature Alignment

Real-world applications of machine learning models often confront data distribution shifts, where discrepancies exist between the training and test data distributions.

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Cite this as

Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao (2024). Dataset: Enhancing Compositional Generalization via Compositional Feature Alignment. https://doi.org/10.57702/qpn6a33v

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2402.02851
Author	Haoxiang Wang
More Authors	Haozhe Si Huajie Shao Han Zhao
Homepage	https://github.com/Haoxiang-Wang/Compositional-Feature-Alignment