SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. (arXiv:2004.09557v3 [cs.LG] UPDATED)

Clinical settings are often characterized by abundant unlabelled data and
limited labelled data. This is typically driven by the high burden placed on
oracles (e.g., physicians) to provide annotations. One way to mitigate this
burden is via active learning (AL) which involves the (a) acquisition and (b)
annotation of informative unlabelled instances. Whereas previous work addresses
either one of these elements independently, we propose an AL framework that
addresses both. For acquisition, we propose Bayesian Active Learning by
Consistency (BALC), …

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