Search Results for author: Emirhan Kurtulus

Found 1 papers, 1 papers with code

Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

1 code implementation22 May 2023 Emirhan Kurtulus, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk

For example, even the simple flips-and-crops augmentation requires training for more than 5 epochs to improve performance, whereas RandAugment requires more than 90 epochs.

Data Augmentation

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