Ronan Collobert Vis

*	2009
16	EE	Bing Bai, Jason Weston, Ronan Collobert, David Grangier: Supervised Semantic Indexing. ECIR 2009: 761-765
15	EE	Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston: Curriculum learning. ICML 2009: 6
14	EE	Hossein Mobahi, Ronan Collobert, Jason Weston: Deep learning from temporal coherence in video. ICML 2009: 93
	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)

Coauthor Index

1	Bing Bai	[16]
2	Samy Bengio	[1] [2] [3] [4] [5] [6]
3	Yoshua Bengio	[2] [3] [4] [5] [15]
4	Léon Bottou	[7] [8] [9]
5	Ayse Erkan	[11]
6	David Grangier	[16]
7	Michael Karlen	[11]
8	Jérôme Louradour	[15]
9	Hossein Mobahi	[14]
10	Frédéric Ratle	[13]
11	Fabian H. Sinz	[7] [8] [9]
12	Vladimir Vapnik	[9]
13	Jason Weston	[7] [8] [9] [10] [11] [12] [13] [14] [15] [16]