2026
To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
ICLR 2026poster
Symmetry-aware methods for machine learning, such as data augmentation and equivariant architectures, encourage correct model behavior on all transformations (e.g. rotations or permutations) of the original dataset. These methods can impart improved generalization and sample efficiency, under the as…