we ask: “Given k pre-trained classifiers and a stream or pool of unlabeled data examples, how can we actively decide whose label to query so that we can distinguish the best model from the rest
we ask: “Given k pre-trained classifiers and a stream or pool of unlabeled data examples, how can we actively decide whose label to query so that we can distinguish the best model from the rest
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