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Active Learning (AL): The traditional AL methods are        as softmax output of the classifier, hθ (x) is a composition
iterative schemes which obtain labels (from oracle or        of fθ  gθ (x) where, gθ (x) is the function that maps input
experts) for a set of informative data samples. The newly      to embedding and fθ does final classification. The domain
labeled samples are then added to the pool of existing       discriminator is a network Dφ (gθ (x)) which classifies the
lab ...