Total: 1
Author: Mohammad Rostami
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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#1 Internal Robust Representations for Domain Generalization
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