by Michele Laurelli
Data augmentation creating synthetic examples by mixing pairs of training samples.
Linearly interpolates between two samples and their labels: x = λx₁ + (1-λ)x₂. Improves generalization and calibration. Simple yet effective regularization.
Image classification augmentation
Regularization technique
Improved generalization