Xavier Glorot
Xavier Glorot
DeepMind
Verified email at google.com
TitleCited byYear
Understanding the difficulty of training deep feedforward neural networks
X Glorot, Y Bengio
Proceedings of the thirteenth international conference on artificial …, 2010
79452010
Deep sparse rectifier neural networks
X Glorot, A Bordes, Y Bengio
Proceedings of the fourteenth international conference on artificial …, 2011
44142011
Domain adaptation for large-scale sentiment classification: A deep learning approach
X Glorot, A Bordes, Y Bengio
13832011
Contractive auto-encoders: Explicit invariance during feature extraction
S Rifai, P Vincent, X Muller, X Glorot, Y Bengio
10522011
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.
I Higgins, L Matthey, A Pal, C Burgess, X Glorot, M Botvinick, S Mohamed, ...
Iclr 2 (5), 6, 2017
7202017
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5822016
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
4232018
A semantic matching energy function for learning with multi-relational data
A Bordes, X Glorot, J Weston, Y Bengio
Machine Learning, 1-27, 2012
3792012
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
A Bordes, X Glorot, J Weston, Y Bengio
2972011
Unsupervised and transfer learning challenge: a deep learning approach
G Mesnil, Y Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ...
Proceedings of the 2011 International Conference on Unsupervised and …, 2011
1762011
Higher order contractive auto-encoder
S Rifai, G Mesnil, P Vincent, X Muller, Y Bengio, Y Dauphin, X Glorot
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
1532011
Early visual concept learning with unsupervised deep learning
I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell, S Mohamed, ...
arXiv preprint arXiv:1606.05579, 2016
942016
Deep learners benefit more from out-of-distribution examples
Y Bengio, F Bastien, A Bergeron, N Boulanger-Lewandowski, T Breuel, ...
JMLR W&CP: Proceedings of the Fourteenth International Conference on …, 2011
882011
A clinically applicable approach to continuous prediction of future acute kidney injury
N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ...
Nature 572 (7767), 116-119, 2019
612019
Adding noise to the input of a model trained with a regularized objective
S Rifai, X Glorot, Y Bengio, P Vincent
arXiv preprint arXiv:1104.3250, 2011
482011
Large-Scale Learning of Embeddings with Reconstruction Sampling.
Y Dauphin, X Glorot, Y Bengio
ICML, 945-952, 2011
332011
Deep self-taught learning for handwritten character recognition
F Bastien, Y Bengio, A Bergeron, N Boulanger-Lewandowski, T Breuel, ...
arXiv preprint arXiv:1009.3589, 2010
172010
Unsupervised Learning of Semantics of Object Detections for Scene Categorization
G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent
Pattern Recognition Applications and Methods, 209-224, 2015
152015
Learning invariant features through local space contraction
S Rifai, X Muller, X Glorot, G Mesnil, Y Bengio, P Vincent
arXiv preprint arXiv:1104.4153, 2011
142011
Unsupervised and Transfer Learning under Uncertainty-From Object Detections to Scene Categorization.
G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent
ICPRAM, 345-354, 2013
112013
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Articles 1–20