Understanding Label Smoothing

In the realm of deep learning, label smoothing has emerged as a powerful technique for improving the generalization and robustness of neural network models.

Traditional classification tasks often involve assigning a single binary label to each sample, assuming that the ground truth is always certain. However, this assumption may not hold in practice, leading to overconfident predictions and reduced model performance on unseen data. Label smoothing addresses this issue by introducing a controlled...