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cs.LG2021★ 18 cited
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
Marek Herde, Denis Huseljic, Bernhard Sick +1
Pool-based active learning (AL) aims to optimize the annotation process (i.e., labeling) as the acquisition of annotations is often time-consuming and therefore expensive. For this…
cs.LG2015★ 2 cited
A New Vision of Collaborative Active Learning
Adrian Calma, Tobias Reitmaier, Bernhard Sick +2
Active learning (AL) is a learning paradigm where an active learner has to train a model (e.g., a classifier) which is in principal trained in a supervised way, but in AL it has to…