Internal Robust Representations for Domain Generalization

Authors

  • Mohammad Rostami University of Southern California

DOI:

https://doi.org/10.1609/aaai.v37i13.26818

Keywords:

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Abstract

Model generalization under distributional changes remains a significant challenge for machine learning. We present consolidating the internal representation of the training data in a model as a strategy of improving model generalization.

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Published

2024-07-15

How to Cite

Rostami, M. (2024). Internal Robust Representations for Domain Generalization. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 15451-15451. https://doi.org/10.1609/aaai.v37i13.26818