AAAI 2023technical1 citations
Internal Robust Representations for Domain Generalization
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.
BibTeX
@article{Rostami_2024, title={Internal Robust Representations for Domain Generalization}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26818}, DOI={10.1609/aaai.v37i13.26818}, abstractNote={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.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Rostami, Mohammad}, year={2024}, month={Jul.}, pages={15451-15451} }