ADA Outperforms ERM and Competes with C-Mixup in In-Distribution Generalization Tasks | HackerNoon
Briefly

from Hackernoon4 months ago
In this work, we introduce Anchor Data Augmentation (ADA) as a novel technique aimed at improving in-distribution generalization, outperforming previous methods like C-Mixup.
Hackernoonhttps://hackernoon.com/ada-outperforms-erm-and-competes-with-c-mixup-in-in-distribution-generalization-tasks
Our experiments reveal that ADA significantly enhances robustness in out-of-distribution settings by preserving the nonlinear structure of data, offering a distinct advantage over other augmentation techniques.
Hackernoonhttps://hackernoon.com/ada-outperforms-erm-and-competes-with-c-mixup-in-in-distribution-generalization-tasks
Read at Hackernoon
#data-augmentation #machine-learning #in-distribution-generalization #robustness #nonlinear-data-structure
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