Transfer Across Domains
Adapt model to new domain.
Types
unsupervised: source labeled, target unlabeled. Domain shift: different data distributions.
Methods
Domain adversarial: learn domain-invariant features. Maximum mean discrepancy: align distributions.
Pseudo-labeling on target. Self-training on target domain.
Key Takeaways
- Handle domain shift
- Domain adversarial learning
- Align source and target