2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
ICLR 2024poster
Mixup is a data augmentation strategy that employs convex combinations of training instances and their respective labels to improve the robustness and calibration of deep neural networks. Despite its widespread adoption, the nuanced mechanisms that underpin its success are not entirely understood. T…