On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

no code implementations • NeurIPS 2021 • Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

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.

Domain Generalization Transfer Learning