Apple ML Research
· Cloud & Big Tech
Anti-Causal Domain Generalization: Leveraging Unlabeled Data
The problem of domain generalization concerns learning predictive models that are robust to distribution shifts when deployed in new, previously unseen environments. Existing methods typically require labeled data from multiple training environments, limiting their applicability when labeled data are scarce. In this wo