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Xavier Glorot
Xavier Glorot
Independent
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Understanding the difficulty of training deep feedforward neural networks
X Glorot, Y Bengio
Proceedings of the thirteenth international conference on artificial …, 2010
240042010
Deep sparse rectifier neural networks
X Glorot, A Bordes, Y Bengio
Proceedings of the fourteenth international conference on artificial …, 2011
119652011
beta-vae: Learning basic visual concepts with a constrained variational framework.
I Higgins, L Matthey, A Pal, CP Burgess, X Glorot, MM Botvinick, ...
ICLR (Poster) 3, 2017
48102017
Domain adaptation for large-scale sentiment classification: A deep learning approach
X Glorot, A Bordes, Y Bengio
Proceedings of the 28th international conference on machine learning (ICML …, 2011
22682011
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
22512018
Contractive auto-encoders: Explicit invariance during feature extraction
S Rifai, P Vincent, X Muller, X Glorot, Y Bengio
Proceedings of the 28th international conference on international conference …, 2011
19702011
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
1072*2016
A semantic matching energy function for learning with multi-relational data
A Bordes, X Glorot, J Weston, Y Bengio
Machine Learning, 1-27, 2012
843*2012
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
8332019
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
A Bordes, X Glorot, J Weston, Y Bengio
4872011
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 ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012
2812012
Higher order contractive auto-encoder
S Rifai, G Mesnil, P Vincent, X Muller, Y Bengio, Y Dauphin, X Glorot
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
2782011
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
1952011
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
1942016
International Conference on Learning Representations
I Higgins, L Matthey, A Pal, C Burgess, X Glorot, M Botvinick, S Mohamed, ...
ICLR 2017, Toulon, France, 2017
1472017
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
872011
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
N Tomašev, N Harris, S Baur, A Mottram, X Glorot, JW Rae, M Zielinski, ...
Nature Protocols 16 (6), 2765-2787, 2021
602021
Theano: A Python framework for fast computation of mathematical expressions. arXiv
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688 10, 2016
512016
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
48*2015
Generalizable medical image analysis using segmentation and classification neural networks
J De Fauw, JR Ledsam, B Romera-paredes, S Nikolov, N Tomasev, ...
US Patent App. 16/236,045, 2019
462019
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