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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference item |
| Sprog: | English |
| Udgivet: |
OpenReview
2022
|