Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 1691-1697, 2017.

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Abstract:

Domain adaptation addresses learning tasks where training is performed on data from one domain whereas testing is performed on data belonging to a different but related domain. Assumptions about the relationship between the source and target domains should lead to tractable solutions on the one hand, and be realistic on the other hand. He...More

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