Gradient matching for domain generalization
Machine learning systems typically assume that the distributions of training and test sets match closely. However, a critical requirement of such systems in the real world is their ability to generalize to unseen domains. Here, we propose an inter-domain gradient matching objective that targets doma...
| Auteurs principaux: | , , , , , , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
OpenReview
2022
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