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Scalable batch acquisition for deep bayesian active learning
In deep active learning, it is especially important to choose multiple examples to markup at
each step to work efficiently, especially on large datasets. At the same time, existing …
each step to work efficiently, especially on large datasets. At the same time, existing …
ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
PG Morato, CP Andriotis, S Khademi - openreview.net
Varying annotation costs among data points and budget constraints can hinder the adoption
of active learning strategies in real-world applications. This work introduces two Bayesian …
of active learning strategies in real-world applications. This work introduces two Bayesian …