most citedAddressing Bias in Active Learning with Depth Uncertainty Networks... or Not

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cs.LG2021★ 1 cited

Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not

Chelsea Murray, James U. Allingham, Javier Antorán +1

Farquhar et al. [2021] show that correcting for active learning bias with underparameterised models leads to improved downstream performance. For overparameterised models such as N…

cs.LG2021

Depth Uncertainty Networks for Active Learning

Chelsea Murray, James U. Allingham, Javier Antorán +1

In active learning, the size and complexity of the training dataset changes over time. Simple models that are well specified by the amount of data available at the start of active…