| * | 2009 |
|---|
| 7 | EE | Rajat Raina,
Anand Madhavan,
Andrew Y. Ng:
Large-scale deep unsupervised learning using graphics processors.
ICML 2009: 110 |
| 6 | EE | Honglak Lee,
Rajat Raina,
Alex Teichman,
Andrew Y. Ng:
Exponential Family Sparse Coding with Application to Self-taught Learning.
IJCAI 2009: 1113-1119 |
| 2007 |
|---|
| 5 | EE | Rajat Raina,
Alexis Battle,
Honglak Lee,
Benjamin Packer,
Andrew Y. Ng:
Self-taught learning: transfer learning from unlabeled data.
ICML 2007: 759-766 |
| 2006 |
|---|
| 4 | EE | Rajat Raina,
Andrew Y. Ng,
Daphne Koller:
Constructing informative priors using transfer learning.
ICML 2006: 713-720 |
| 3 | EE | Honglak Lee,
Alexis Battle,
Rajat Raina,
Andrew Y. Ng:
Efficient sparse coding algorithms.
NIPS 2006: 801-808 |
| 2005 |
|---|
| 2 | | Rajat Raina,
Andrew Y. Ng,
Christopher D. Manning:
Robust Textual Inference Via Learning and Abductive Reasoning.
AAAI 2005: 1099-1105 |
| 2003 |
|---|
| 1 | EE | Rajat Raina,
Yirong Shen,
Andrew Y. Ng,
Andrew McCallum:
Classification with Hybrid Generative/Discriminative Models.
NIPS 2003 |
