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Noah Videcrantz

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#artificial intelligence Preprint Aug 2026

ActiveAugment: Online Active Learning for Augmentation Selection in Deep Learning

This work introduces ActiveAugment, a unified framework that treats augmentation selection as an online active learning problem, and reveals that the augmentation selection policy evolves meaningfully during training and that strategy choice has a direct impact on generalisation.

Noah Videcrantz, M. M. Ghazi · 0 citations

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