RonanRonan Collobert

Ronan

I hold a research scientitst position in machine learning, at the IDIAP Research Institute, in Switzerland.

Ronan Collobert
IDIAP
Rue Marconi 19
CP 592
1920 Martigny
Switzerland

Email: ronan [at] collobert [dot] com
Phone: +41 27 721 77 06

I was previously a Research Staff Member at NEC Laboratories of America.

Research ProjectsResearch Projects

Deep Learning for Spoken Term Detection.

Semantic Analysis of Text.

Web Search.

Face Technologies.

SoftwareSoftware

Torch7 is a machine learning library which aims at including state-of-the-art algorithms.

SVMTorch, a Support Vector Machine library.

SENNA, a Natural Language Processing (NLP) tagger. Now version 3.0 (August 2011).

PublicationsPublications

See also my Google Scholar page.

2012

R. Collobert, K. Kavukcuoglu and C. Farabet. Implementing Neural Networks Efficiently. In Neural Networks: Tricks of the Trade, G. Montavon, G. Orr and K-R. Muller (Ed), Springer, 2012.

J. Weston, F. Ratle, H. Mobahi and R. Collobert. Deep Learning via Semi-Supervised Embedding. In Neural Networks: Tricks of the Trade, G. Montavon, G. Orr and K-R. Muller (Ed), Springer, 2012.

2011

R. Collobert, K. Kavukcuoglu and C. Farabet. Torch7: A Matlab-like Environment for Machine Learning. In BigLearn, NIPS Workshop, 2011.

R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu and P. Kuksa. Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research, 12:2493-2537, 2011.

R. Collobert. Deep Learning for Efficient Discriminative Parsing. In AISTATS, 2011.

A. Bordes, J. Weston, R. Collobert and Y. Bengio. Learning Structured Embeddings of Knowledge Bases. In AAAI, 2011.

2010

P. Kuksa, Y. Qi, B. Bai, R. Collobert, J.Weston, V. Pavlovic and X. Ning. Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction. In ECML PKDD, 2010.

A. Bordes, N. Usunier, R. Collobert and J. Weston. Towards Understanding Situated Natural Language. In AISTATS, 2010.

B. Bai, J. Weston, D. Grangier, R. Collobert, C. Cortes and M. Mohri. Half Transductive Ranking. In Artificial Intelligence and Statistics (AISTATS), 2010.

2009

A. Bordes, N. Usunier, J. Weston and R. Collobert. Learning to Disambiguate Natural Language Using World Knowledge. In NIPS workshop on Grammar Induction, Representation of Language and Language Learning, 2009.

B. Bai, J. Weston, D. Grangier, R. Collobert, C. Cortes and M. Mohri. Ranking with Half Transductive Models. In NIPS Workshop on Advances in Ranking, 2009.

B. Bai, J. Weston, D. Grangier, R. Collobert, K. Sadamasa, Y. Qi, C. Cortes and M. Mohri. Polynomial Semantic Indexing. In Advances in Neural Information Processing Systems (NIPS), 2009.

R. Collobert and J. Weston. Deep Learning in Natural Language Processing. Tutorial at NIPS, 2009.

Y. Qi, P. Kuksa, R. Collobert, K. Sadamasa, K. Kavukcuoglu and J. Weston. Semi-Supervised Sequence Labeling with Self-Learned Features. In IEEE International Conference on Data Mining (ICDM), 2009.

B. Bai, J. Weston, D. Grangier, R. Collobert, K. Sadamasa, Y. Qi, O. Chapelle and K. Weinberger. Learning to Rank with (a Lot of) Word Features. Journal of Information Retrieval, volume Special Issue on Learning to Rank for Information Retrieval, 2009.

T. Barnickel, J. Weston, R. Collobert, H-W. Mewes and V. Stümpflen. Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts. PLoS one, 4(7), July 2009.

Y. Qi, R. Collobert, P. Kuksa, K. Kavukcuoglu and J. Weston. Combining Labeled and Unlabeled Data with Word-Class Distribution Learning. In The 18th ACM Conference on Information and Knowledge Management (CIKM), 2009.

B. Bai, J. Weston, D. Grangier, R. Collobert, O. Chapelle and K. Weinberger. Supervised Semantic Indexing. In The 18th ACM Conference on Information and Knowledge Management (CIKM), 2009.

H. Mobahi, R. Collobert and J. Weston. Deep Learning from Temporal Coherence in Video. In International Conference on Machine Learning, ICML, 2009.

Y. Bengio, J. Louradour, R. Collobert and J. Weston. Curriculum Learning. In International Conference on Machine Learning, ICML, 2009.

B. Bai, J. Weston, R. Collobert and D. Grangier. Supervised Semantic Indexing. In 31st European Conference on Information Retrieval, 2009.

2008

R. Collobert. Torch. NIPS Workshop on Machine Learning Open Source Software, 2008.

M. Karlen, J. Weston, A. Erkan and R. Collobert. Large Scale Manifold Transduction. In International Conference on Machine Learning, ICML, 2008.

R. Collobert and J. Weston. A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. In International Conference on Machine Learning, ICML, 2008.

J. Weston, F. Rattle and R. Collobert. Deep Learning via Semi-Supervised Embedding. In International Conference on Machine Learning, ICML, 2008.

2007

R. Collobert and J. Weston. Fast Semantic Extraction Using a Novel Neural Network Architecture. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 560-567, June 2007.

2006

J. Weston, R. Collobert, F. Sinz, L. Bottou and V. Vapnik. Inference with the Universum. In Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006), pages 1009-1016, ACM Press, 2006.

R. Collobert, F. Sinz, J. Weston and L. Bottou. Large Scale Transductive SVMs. Journal of Machine Learning Research, 7:1687-1712, September 2006.

R. Collobert, F. Sinz, J. Weston and L. Bottou. Trading convexity for scalability. In Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006), pages 201-208, ACM Press, 2006.

2004

R. Collobert. Large Scale Machine Learning. Université Paris VI, 2004.

R. Collobert and S. Bengio. Links Between Perceptrons, MLPs and SVMs. In International Conference on Machine Learning, ICML, 2004.

R. Collobert and S. Bengio. A Gentle Hessian for Efficient Gradient Descent. In IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004.

2003

R. Collobert, Y. Bengio and S. Bengio. Scaling Large Learning Problems with Hard Parallel Mixtures. International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3):349-365, 2003.

C. Sanderson, S. Bengio, H. Bourlard, J. Mariéthoz, R. Collobert, M.F. BenZeghiba, F. Cardinaux and S. Marcel. Speech & Face Based Biometric Authentication at IDIAP. In International Conference on Multimedia and Expo, ICME, volume 3, pages 1-4, 2003.

2002

R. Collobert, S. Bengio and J. Mariéthoz. Torch: a modular machine learning software library. Technical Report IDIAP-RR 02-46, IDIAP, 2002.

R. Collobert, S. Bengio and Y. Bengio. A Parallel Mixture of SVMs for Very Large Scale Problems. In T.G. Dietterich, S. Becker and Z. Ghahramani, editors, Advances in Neural Information Processing Systems, NIPS 14, pages 633-640, MIT Press, 2002.

R. Collobert, S. Bengio and Y. Bengio. A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Computation, 14(5):1105-1114, 2002.

2001

R. Collobert and S. Bengio. SVMTorch: Support Vector Machines for Large-Scale Regression Problems. Journal of Machine Learning Research, 1:143-160, 2001.

2000

Ronan Collobert. Support Vector Machines: Théorie et Applications. Université de Rennes I, 2000.


CoursesEPFL Courses


CollaboratorsCollaborators

Last Modified 04/26/14 19:52