Jason Weston - Google Scholar

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Citations	70340	45408
h-index	95	71
i10-index	205	179

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Ronan CollobertFacebook AI ResearchVerified email at collobert.com
Antoine BordesDirector / Facebook AI ResearchVerified email at fb.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Leon BottouFacebook AI ResearchVerified email at bottou.org
Isabelle GuyonClopiNet / ChaLearnVerified email at chalearn.org
Sumit ChopraImagen TechnologiesVerified email at imagen.ai
William Stafford NobleProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
Olivier ChapelleGoogleVerified email at chapelle.cc
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
Usunier NicolasFacebook AI ResearchVerified email at fb.com
Christina LeslieMemorial Sloan-Kettering Cancer CenterVerified email at cbio.mskcc.org
Samy BengioResearch Scientist, Google BrainVerified email at google.com
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Pavel P. KuksaInstitute for Biomedical Informatics, University of PennsylvaniaVerified email at cs.rutgers.edu
Chris WatkinsProfessor in Computer Science, Royal HollowayVerified email at rhul.ac.uk
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Rob FergusProfessor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org

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Artificial Intelligence Machine Learning Bioinformatics Vision Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gene selection for cancer classification using support vector machines I Guyon, J Weston, S Barnhill, V Vapnik Machine learning 46 (1-3), 389-422, 2002	8061	2002
Natural language processing (almost) from scratch R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa Journal of machine learning research 12 (ARTICLE), 2493− 2537, 2011	6257	2011
A unified architecture for natural language processing: Deep neural networks with multitask learning R Collobert, J Weston Proceedings of the 25th international conference on Machine learning, 160-167, 2008	4726	2008
Learning with local and global consistency D Zhou, O Bousquet, TN Lal, J Weston, B Schölkopf Advances in neural information processing systems, 321-328, 2004	3893	2004
Fisher discriminant analysis with kernels S Mika, G Ratsch, J Weston, B Scholkopf, KR Mullers Neural networks for signal processing IX: Proceedings of the 1999 IEEE …, 1999	3226	1999
Translating embeddings for modeling multi-relational data A Bordes, N Usunier, A Garcia-Duran, J Weston, O Yakhnenko Advances in neural information processing systems, 2787-2795, 2013	2234	2013
Curriculum learning Y Bengio, J Louradour, R Collobert, J Weston Proceedings of the 26th annual international conference on machine learning …, 2009	2104	2009
End-to-end memory networks S Sukhbaatar, J Weston, R Fergus Advances in neural information processing systems, 2440-2448, 2015	1733	2015
Multi-class support vector machines J Weston, C Watkins Technical Report CSD-TR-98-04, Department of Computer Science, Royal …, 1998	1678	1998
A neural attention model for abstractive sentence summarization AM Rush, S Chopra, J Weston arXiv preprint arXiv:1509.00685, 2015	1643	2015
A kernel method for multi-labelled classification A Elisseeff, J Weston Advances in neural information processing systems, 681-687, 2002	1438	2002
Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik Advances in neural information processing systems, 668-674, 2001	1315	2001
Semi-supervised learning for peptide identification from shotgun proteomics datasets L Käll, JD Canterbury, J Weston, WS Noble, MJ MacCoss Nature methods 4 (11), 923-925, 2007	1270	2007
Scaling learning algorithms towards AI Y Bengio, Y LeCun Large-scale kernel machines 34 (5), 1-41, 2007	1222	2007
Memory networks J Weston, S Chopra, A Bordes arXiv preprint arXiv:1410.3916, 2014	1200	2014
Support vector machines for multi-class pattern recognition. J Weston, C Watkins Esann 99, 219-224, 1999	1041	1999
Use of the zero-norm with linear models and kernel methods J Weston, A Elisseeff, B Schölkopf, M Tipping Journal of machine learning research 3 (Mar), 1439-1461, 2003	877	2003
Deep learning via semi-supervised embedding J Weston, F Ratle, H Mobahi, R Collobert Neural networks: Tricks of the trade, 639-655, 2012	857	2012
A user’s guide to support vector machines A Ben-Hur, J Weston Data mining techniques for the life sciences, 223-239, 2010	845	2010
Ranking on data manifolds D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf Advances in neural information processing systems, 169-176, 2004	801	2004

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