2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
NeurIPS 2021poster
Domain adaptation (DA) benefits from the rigorous theoretical works that study its insightful characteristics and various aspects, e.g., learning domain-invariant representations and its trade-off. However, it seems not the case for the multiple source DA and domain generalization (DG) settings whic…