65 citations · 94 across the 3 of their papers we have counts for
3 papers
Learning invariant features through local space contraction
Salah Rifai, Xavier Muller, Xavier Glorot +3
We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty term to the classical reconstruction cost function,…
Adding noise to the input of a model trained with a regularized objective
Salah Rifai, Xavier Glorot, Yoshua Bengio +1
Regularization is a well studied problem in the context of neural networks. It is usually used to improve the generalization performance when the number of input samples is relativ…
Deep Self-Taught Learning for Handwritten Character Recognition
Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron +14
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtained…