Selected papers:
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.
Honglak Lee, Roger Grosse, Rajesh Ranganath and Andrew Y. Ng.
ICML 2009. [PDF]
- Large-scale Deep Unsupervised Learning using Graphics Processors.
Rajat Raina, Anand Madhavan and Andrew Y. Ng.
ICML 2009. [PDF]
- Exponential Family Sparse Coding with Application to Self-taught Learning.
Honglak Lee, Rajat Raina, Alex Teichman and Andrew Y. Ng.
IJCAI 2009. [PDF]
- Sparse Deep Belief Net Model for Visual Area V2.
H. Lee, Chaitanya Ekanadham and A. Y. Ng.
NIPS 2008. [PDF]
- Exponential family sparse coding with application to self-taught learning with text documents.
H. Lee and R. Raina and A. Teichman and A. Y. Ng.
ICML Workshop on Prior Knowledge for Text and Language, 2008. [PDF] - Shift-Invariant Sparse Coding for Audio Classification.
R. Grosse, R. Raina, H. Kwong and A. Y. Ng.
Uncertainty in Artificial Intelligence (UAI), 2007. [PDF] - Self-taught learning: Transfer learning from unlabeled data.
R. Raina, A. Battle, H. Lee, B. Packer and A. Y. Ng.
ICML 2007. [PDF] - Efficient sparse coding algorithms.
Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng.
NIPS 2007. [PDF]