activity
20192026
most citedA Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

18 citations · 27 across the 14 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020

Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

Daniel Kottke, Marek Herde, Christoph Sandrock +3

Gathering labeled data to train well-performing machine learning models is one of the critical challenges in many applications. Active learning aims at reducing the labeling costs…