Random Smoothing Regularization in Kernel Gradient Descent Learning

Liang Ding, Tianyang Hu, Jiahang Jiang +3

Random smoothing data augmentation is a unique form of regularization that can prevent overfitting by introducing noise to the input data, encouraging the model to learn more gener…