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Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift.
Uncertainty Based Detection and Relabeling of Noisy Image Labels
Deep neural networks (DNNs) are powerful tools in computer vision tasks.
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