Concept

Methods to Tackle Model Uncertainty in Deep Learning for Active Learning

Some researchers have applied Bayesian deep learning to deal with the high-dimensional mini-batch samples with fewer queries in the AL context, , thereby effectively alleviating the problem of the DL model being too confident about the output results.

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Updated 2022-07-19

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Data Science