QuantifyingandImprovingTransferabilityin DomainGeneralization

Neural Information Processing Systems 

Based oninvariant features, a high-performing classifier on source domains could hopefully behave equally well on a target domain. In other words, we hope the invariant features to be transferable. However, in practice, there are no perfectly transferable features, andsomealgorithmsseemtolearn"moretransferable"featuresthanothers.

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