1. The probabilistic interpretation led to the introduction of dropout as regularizer in neural networks.

2. Contractive autoencoder CAE adds an explicit regularizer in their objective function that forces the model to learn a function that is robust to slight variations of input values

3. Contractive autoencoder (CAE) The Contractive autoencoder adds an explicit regularizer in its objective function that forces the model to learn an encoding robust to slight variations of input values