Domain generalization (DG) tends to alleviate the poor generalization
ca...
Domain generalization (DG) is essentially an out-of-distribution problem...
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
In this paper, we focus on learning effective entity matching models ove...
Domain adaptation (DA) paves the way for label annotation and dataset bi...
Unsupervised domain adaptation challenges the problem of transferring
kn...