Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer, Vidya Muthukumar. The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective. Journal of Machine Learning Research, 25, 2024. [doi]
@article{LinKDM24,
title = {The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective},
author = {Chi-Heng Lin and Chiraag Kaushik and Eva L. Dyer and Vidya Muthukumar},
year = {2024},
url = {https://jmlr.org/papers/v25/22-1312.html},
researchr = {https://researchr.org/publication/LinKDM24},
cites = {0},
citedby = {0},
journal = {Journal of Machine Learning Research},
volume = {25},
}