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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

DOI retrieved: December 2, 2024

Additional Info

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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