Selected papers:
- Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks.
Richard Socher, Christopher Manning and Andrew Ng.
In NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning. [PDF] - An Analysis of Single-Layer Networks in Unsupervised Feature Learning.
Adam Coates, Honglak Lee and Andrew Ng.
NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning. [PDF] - On random weights and unsupervised feature learning.
Andrew Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh and Andrew Ng.
NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning.
[ PDF, supplementary material ] - Multimodal Deep Learning.
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee and Andrew Ng.
NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning. [PDF] - A Probabilistic Model for Semantic Word Vectors.
Andrew Maas and Andrew Ng.
NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning. [PDF] - Tiled Convolutional Neural Networks.
Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Chia, Pangwei Koh and Andrew Y. Ng.
NIPS 2010. [PDF, visualizations] - Energy Disaggregation via Discriminative Sparse Coding.
J. Zico Kolter and Andrew Y. Ng.
NIPS 2010. [PDF] - Measuring invariances in deep networks.
Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee and Andrew Y. Ng.
NIPS 2009. [PDF] - Unsupervised feature learning for audio classification using convolutional deep belief networks.
Honglak Lee, Yan Largman, Peter Pham and Andrew Y. Ng.
NIPS 2009. [PDF] - 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]