Contractive Autoencoder (CAE) The idea guiding a contractive autoencoder, proposed by Rifai et al. [ninety], is to produce the autoencoders sturdy of modest improvements from the teaching dataset. In its aim purpose, a CAE incorporates an explicit regularizer that forces the model to learn an encoding that is strong to compact improvements in enter