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Generative Class-conditional Autoencoders
Recent work by Bengio et al. (2013) proposes a sampling procedure for denoising autoencoders which involves learning the transition operator of a Markov chain.
Neural Network Regularization via Robust Weight Factorization
Regularization is essential when training large neural networks.
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