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Tsymbalov et al., 2018 - Google Patents

Dropout-based active learning for regression

Tsymbalov et al., 2018

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Document ID
5554728805611427126
Author
Tsymbalov E
Panov M
Shapeev A
Publication year
Publication venue
Analysis of Images, Social Networks and Texts: 7th International Conference, AIST 2018, Moscow, Russia, July 5–7, 2018, Revised Selected Papers 7

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Active learning is relevant and challenging for high-dimensional regression models when the annotation of the samples is expensive. Yet most of the existing sampling methods cannot be applied to large-scale problems, consuming too much time for data processing. In …
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