Deepdomainadaptationhasemergedasanewlearningtechniquetoaddressthelackofmassive
amountsoflabeleddata.Comparedtoconventionalmethods,whichlearnsharedfeaturesubspacesor
reuseimportantsourceinstanceswithshallowrepresentations,deepdomainadaptationmethodsleverage
deep
