Direct Uncertainty Prediction with Applications to Healthcare

Maithra Raghu
Maithra Raghu
Katy Blumer
Katy Blumer
Rory Sayres
Rory Sayres
Ziad Obermeyer
Ziad Obermeyer

arXiv: Learning, Volume abs/1807.01771, 2018.

Cited by: 1|Bibtex|Views23|Links
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Abstract:

Large labeled datasets for supervised learning are frequently constructed by assigning each instance to multiple human evaluators, and this leads to disagreement in the labels associated with a single instance. Here we consider the question of predicting the level of disagreement for a given instance, and we find an interesting phenomenon...More

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