Domain adaptation solves only certain distribution-shift problems
Domain adaptation studies how to train a model on one data distribution and get it to work well on another. It can be very useful, but it tends to fit a limited set of problem types rather than being the standard solution for every training-versus-test mismatch.
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Domain adaptation solves only certain distribution-shift problems
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