Implicit Rugosity Regularization via Data Augmentation

By Daniel LeJeune, Randall Balestriero, Hamid Javadi, Richard Baraniuk. 2019

23 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mario A. Nascimento
2. Amirreza Lashkari
3. Tom Ching LingChen
4. Ava Khonsari
5. Jaspreet Singh Sambee
6. Mina Rafi Nazari

Citations in the corpus

• UniformAugment: A Search-free Probabilistic Data Augmentation Approach (2020, background): “LeJeune et al. [11] proposed a Hessian-based rugosity measure as regularization penalty for training, and they showed the connection between data augmentation and regularization with this rugosity measure.”