Jason Weston
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
81492002
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
64072011
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
48132008
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
39252004
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
32421999
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
23172013
Curriculum learning
Y Bengio, J Louradour, R Collobert, J Weston
Proceedings of the 26th annual international conference on machine learning …, 2009
21862009
End-to-end memory networks
S Sukhbaatar, J Weston, R Fergus
Advances in neural information processing systems, 2440-2448, 2015
17772015
A neural attention model for abstractive sentence summarization
AM Rush, S Chopra, J Weston
arXiv preprint arXiv:1509.00685, 2015
16912015
Multi-class support vector machines
J Weston, C Watkins
Technical Report CSD-TR-98-04, Department of Computer Science, Royal …, 1998
16871998
A kernel method for multi-labelled classification
A Elisseeff, J Weston
Advances in neural information processing systems, 681-687, 2002
14532002
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
13252001
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
12922007
Memory networks
J Weston, S Chopra, A Bordes
arXiv preprint arXiv:1410.3916, 2014
12302014
Scaling learning algorithms towards AI
Y Bengio, Y LeCun
Large-scale kernel machines 34 (5), 1-41, 2007
12302007
Support vector machines for multi-class pattern recognition.
J Weston, C Watkins
Esann 99, 219-224, 1999
10461999
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
8812003
Deep learning via semi-supervised embedding
J Weston, F Ratle, H Mobahi, R Collobert
Neural networks: Tricks of the trade, 639-655, 2012
8732012
A user’s guide to support vector machines
A Ben-Hur, J Weston
Data mining techniques for the life sciences, 223-239, 2010
8552010
Ranking on data manifolds
D Zhou, J Weston, A Gretton, O Bousquet, B Schölkopf
Advances in neural information processing systems, 169-176, 2004
8062004
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Articles 1–20