Marc'Aurelio Ranzato
Marc'Aurelio Ranzato
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TitleCited byYear
Deepface: Closing the gap to human-level performance in face verification
Y Taigman, M Yang, MA Ranzato, L Wolf
Proceedings of the IEEE conference on computer vision and pattern …, 2014
34492014
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, A Senior, ...
Advances in neural information processing systems, 1223-1231, 2012
21052012
Building high-level features using large scale unsupervised learning
QV Le, MA Ranzato, R Monga, M Devin, K Chen, GS Corrado, J Dean, ...
arXiv preprint arXiv:1112.6209, 2011
19402011
What is the best multi-stage architecture for object recognition?
K Jarrett, K Kavukcuoglu, Y LeCun
2009 IEEE 12th international conference on computer vision, 2146-2153, 2009
17402009
Efficient Learning of Sparse Overcomplete Representations with an Energy-Based Model
M Ranzato, CS Poultney, S Chopra, Y LeCun
Neural Information Processing Systems, 2006
1149*2006
Unsupervised learning of invariant feature hierarchies with applications to object recognition
FJH Marc’Aurelio Ranzato, YL Boureau, Y LeCun
Proc. Computer Vision and Pattern Recognition Conference (CVPR’07). IEEE …, 2007
9562007
Sparse feature learning for deep belief networks
Y Boureau, YL Cun
Advances in neural information processing systems, 1185-1192, 2008
7262008
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, N De Freitas
Advances in neural information processing systems, 2148-2156, 2013
5672013
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
5292015
A tutorial on energy-based learning
Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang
Predicting structured data 1 (0), 2006
4382006
On rectified linear units for speech processing
MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
3822013
Panda: Pose aligned networks for deep attribute modeling
N Zhang, M Paluri, MA Ranzato, T Darrell, L Bourdev
Proceedings of the IEEE conference on computer vision and pattern …, 2014
3702014
Learning invariant features through topographic filter maps
K Kavukcuoglu, R Fergus, Y LeCun
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1605-1612, 2009
3532009
Phone recognition with the mean-covariance restricted Boltzmann machine
G Dahl, A Mohamed, GE Hinton
Advances in neural information processing systems, 469-477, 2010
3092010
Modeling pixel means and covariances using factorized third-order Boltzmann machines
GE Hinton
2010 IEEE computer society conference on computer vision and pattern …, 2010
2522010
Word translation without parallel data
A Conneau, G Lample, MA Ranzato, L Denoyer, H Jégou
arXiv preprint arXiv:1710.04087, 2017
2452017
Fast inference in sparse coding algorithms with applications to object recognition
K Kavukcuoglu, MA Ranzato, Y LeCun
arXiv preprint arXiv:1010.3467, 2010
2392010
Video (language) modeling: a baseline for generative models of natural videos
MA Ranzato, A Szlam, J Bruna, M Mathieu, R Collobert, S Chopra
arXiv preprint arXiv:1412.6604, 2014
2372014
Multilingual acoustic models using distributed deep neural networks
G Heigold, V Vanhoucke, A Senior, P Nguyen, MA Ranzato, M Devin, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
2242013
On deep generative models with applications to recognition
M Ranzato, J Susskind, V Mnih, G Hinton
IEEE, 2011
1932011
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