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