Ronan Collobert

	2011
28		Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio: Learning Structured Embeddings of Knowledge Bases. AAAI 2011
27		Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa: Natural Language Processing (almost) from Scratch CoRR abs/1103.0398: (2011)
26		Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa: Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research 12: 2493-2537 (2011)
25		Ronan Collobert: Deep Learning for Efficient Discriminative Parsing. Journal of Machine Learning Research - Proceedings Track 15: 224-232 (2011)
	2010
24		Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning: Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. ECML/PKDD (2) 2010: 128-144
23		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Learning to rank with (a lot of) word features. Inf. Retr. 13(3): 291-314 (2010)
22		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri: Half Transductive Ranking. Journal of Machine Learning Research - Proceedings Track 9: 49-56 (2010)
21		Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston: Towards Understanding Situated Natural Language. Journal of Machine Learning Research - Proceedings Track 9: 65-72 (2010)
	2009
20		Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston: Combining labeled and unlabeled data with word-class distribution learning. CIKM 2009: 1737-1740
19		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger: Supervised semantic indexing. CIKM 2009: 187-196
18		Bing Bai, Jason Weston, Ronan Collobert, David Grangier: Supervised Semantic Indexing. ECIR 2009: 761-765
17		Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston: Semi-Supervised Sequence Labeling with Self-Learned Features. ICDM 2009: 428-437
16		Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston: Curriculum learning. ICML 2009: 6
15		Hossein Mobahi, Ronan Collobert, Jason Weston: Deep learning from temporal coherence in video. ICML 2009: 93
14		Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri: Polynomial Semantic Indexing. NIPS 2009: 64-72
	2008
13		Jason Weston, Frédéric Ratle, Ronan Collobert: Deep learning via semi-supervised embedding. ICML 2008: 1168-1175
12		Ronan Collobert, Jason Weston: A unified architecture for natural language processing: deep neural networks with multitask learning. ICML 2008: 160-167
11		Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert: Large scale manifold transduction. ICML 2008: 448-455
	2007
10		Ronan Collobert, Jason Weston: Fast Semantic Extraction Using a Novel Neural Network Architecture. ACL 2007
	2006
9		Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik: Inference with the Universum. ICML 2006: 1009-1016
8		Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Trading convexity for scalability. ICML 2006: 201-208
7		Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou: Large Scale Transductive SVMs. Journal of Machine Learning Research 7: 1687-1712 (2006)
	2004
6		Ronan Collobert, Samy Bengio: Links between perceptrons, MLPs and SVMs. ICML 2004
	2003
5		Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. IJPRAI 17(3): 349-365 (2003)
	2002
4		Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. SVM 2002: 8-23
3		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		Ronan Collobert, Samy Bengio, Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. NIPS 2001: 633-640
1		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	[14] [18] [19] [22] [23] [24]
2	Samy Bengio	[1] [2] [3] [4] [5] [6]
3	Yoshua Bengio	[2] [3] [4] [5] [16] [28]
4	Antoine Bordes	[21] [28]
5	Léon Bottou	[7] [8] [9] [26] [27]
6	Olivier Chapelle	[19] [23]
7	Corinna Cortes	[14] [22]
8	Ayse Erkan	[11]
9	David Grangier	[14] [18] [19] [22] [23]
10	Michael Karlen	[11] [26] [27]
11	Koray Kavukcuoglu	[17] [20] [26] [27]
12	Pavel P. Kuksa	[17] [20] [24] [26] [27]
13	Jérôme Louradour	[16]
14	Hossein Mobahi	[15]
15	Mehryar Mohri	[14] [22]
16	Xia Ning	[24]
17	Vladimir Pavlovic	[24]
18	Yanjun Qi	[14] [17] [19] [20] [23] [24]
19	Frédéric Ratle	[13]
20	Kunihiko Sadamasa	[14] [17] [19] [23]
21	Fabian H. Sinz	[7] [8] [9]
22	Nicolas Usunier	[21]
23	Vladimir Vapnik	[9]
24	Kilian Q. Weinberger	[19] [23]
25	Jason Weston	[7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [26] [27] [28]

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