Parting with Illusions about Deep Active Learning

11 Dec 2019Sudhanshu MittalMaxim TatarchenkoÖzgün ÇiçekThomas Brox

Active learning aims to reduce the high labeling cost involved in training machine learning models on large datasets by efficiently labeling only the most informative samples. Recently, deep active learning has shown success on various tasks... (read more)

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