Regularized Auto-Encoders Estimate Local Statistics

By Guillaume Alain, Yoshua Bengio, Salah Rifai. 2012

27 citations recorded by the source corpus.

Subfields: Representation & Self-Supervised Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Representation & Self-Supervised Learning

1. Yoshua Bengio
2. Yann Dauphin
3. Salah Rifai
4. Alexander Ilin
5. Pascal Vincent
6. Grégoire Mesnil
7. Aaron C. Courville
8. Harri Valpola

Citations in the corpus

• Better Mixing via Deep Representations (2012, methodology): “(2012) and linked to Langevin MCMC in Alain et al. (2012).”
• Deep learning for computational biology (2016, neutral): “As the number of configurations grows exponentially with the number of hyper-parameters, trying all of them is impossible in practice (Bengio, 2012).”
• Recurrent Ladder Networks (2017, background): “For example, the task of denoising encourages the network to learn important aspects of the data distribution [1, 2].”