Online Active Model Selection for Pre-trained Classifiers

Mohammad Reza Karimi
Mohammad Reza Karimi
Nezihe Merve Gürel
Nezihe Merve Gürel
Johannes Rausch
Johannes Rausch
Cited by: 0|Bibtex|Views17
Other Links: arxiv.org

Abstract:

Given $k$ pre-trained classifiers and a stream of unlabeled data examples, how can we actively decide when to query a label so that we can distinguish the best model from the rest while making a small number of queries? Answering this question has a profound impact on a range of practical scenarios. In this work, we design an online sel...More

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