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Contractive Autoencoder (CAE) The theory driving a contractive autoencoder, proposed by Rifai et al. [90], is to help make the autoencoders sturdy of little alterations inside the training dataset. In its aim perform, a CAE includes an express regularizer that forces the model to learn an encoding that is robust to compact adjustments in enter valu