2009 |
14 | EE | Bing Bai,
Jason Weston,
Ronan Collobert,
David Grangier:
Supervised Semantic Indexing.
ECIR 2009: 761-765 |
2008 |
13 | EE | Jason Weston,
Frédéric Ratle,
Ronan Collobert:
Deep learning via semi-supervised embedding.
ICML 2008: 1168-1175 |
12 | EE | Ronan Collobert,
Jason Weston:
A unified architecture for natural language processing: deep neural networks with multitask learning.
ICML 2008: 160-167 |
11 | EE | Michael Karlen,
Jason Weston,
Ayse Erkan,
Ronan Collobert:
Large scale manifold transduction.
ICML 2008: 448-455 |
2007 |
10 | EE | Ronan Collobert,
Jason Weston:
Fast Semantic Extraction Using a Novel Neural Network Architecture.
ACL 2007 |
2006 |
9 | EE | Jason Weston,
Ronan Collobert,
Fabian H. Sinz,
Léon Bottou,
Vladimir Vapnik:
Inference with the Universum.
ICML 2006: 1009-1016 |
8 | EE | Ronan Collobert,
Fabian H. Sinz,
Jason Weston,
Léon Bottou:
Trading convexity for scalability.
ICML 2006: 201-208 |
7 | EE | Ronan Collobert,
Fabian H. Sinz,
Jason Weston,
Léon Bottou:
Large Scale Transductive SVMs.
Journal of Machine Learning Research 7: 1687-1712 (2006) |
2004 |
6 | EE | Ronan Collobert,
Samy Bengio:
Links between perceptrons, MLPs and SVMs.
ICML 2004 |
2003 |
5 | EE | Ronan Collobert,
Yoshua Bengio,
Samy Bengio:
Scaling Large Learning Problems with Hard Parallel Mixtures.
IJPRAI 17(3): 349-365 (2003) |
2002 |
4 | EE | Ronan Collobert,
Yoshua Bengio,
Samy Bengio:
Scaling Large Learning Problems with Hard Parallel Mixtures.
SVM 2002: 8-23 |
3 | EE | Ronan Collobert,
Samy Bengio,
Yoshua Bengio:
A Parallel Mixture of SVMs for Very Large Scale Problems.
Neural Computation 14(5): 1105-1114 (2002) |
2001 |
2 | EE | Ronan Collobert,
Samy Bengio,
Yoshua Bengio:
A Parallel Mixture of SVMs for Very Large Scale Problems.
NIPS 2001: 633-640 |
1 | EE | Ronan Collobert,
Samy Bengio:
SVMTorch: Support Vector Machines for Large-Scale Regression Problems.
Journal of Machine Learning Research 1: 143-160 (2001) |