Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning
By Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio. 2013
34 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yoshua Bengio
- Aaron C. Courville
- Sergey Levine
- Mohit Bansal
- Quoc V. Le
- Ian J. Goodfellow
- Kyunghyun Cho
- Percy Liang
In Computer Vision and Pattern Recognition
- Yoshua Bengio
- Luc Van Gool
- Dacheng Tao
- Trevor Darrell
- Ming-Hsuan Yang
- Xiaogang Wang
- Jitendra Malik
- Bernt Schiele
Citations in the corpus
- Joint Training Deep Boltzmann Machines for Classification (2013, methodology): “See (Goodfellow et al., 2013) for an example of a DBM that has failed to learn using the naive training algorithm. Salakhutdinov and Hinton (2009) found that for CD / PCD to work, the DBM must be initialized by training one layer at a time.”
- Multi-Prediction Deep Boltzmann Machines (2013, background): “See [8] for an example of a DBM that has failed to learn using the naive training algorithm.”