Marc'Aurelio Ranzato
Marc'Aurelio Ranzato
DeepMind
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引用次数
引用次数
年份
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
58772014
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ...
Advances in neural information processing systems 25, 1223-1231, 2012
34712012
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
25972013
What is the best multi-stage architecture for object recognition?
K Jarrett, K Kavukcuoglu, MA Ranzato, Y LeCun
2009 IEEE 12th international conference on computer vision, 2146-2153, 2009
25082009
Devise: A deep visual-semantic embedding model
A Frome, G Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, T Mikolov
21102013
Efficient Learning of Sparse Overcomplete Representations with an Energy-Based Model
M Ranzato, CS Poultney, S Chopra, Y LeCun
Neural Information Processing Systems, 2006
1556*2006
Unsupervised learning of invariant feature hierarchies with applications to object recognition
MA Ranzato, FJ Huang, YL Boureau, Y LeCun
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
13352007
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
11672015
Word translation without parallel data
A Conneau, G Lample, MA Ranzato, L Denoyer, H Jégou
arXiv preprint arXiv:1710.04087, 2017
10812017
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
arXiv preprint arXiv:1306.0543, 2013
10712013
Sparse feature learning for deep belief networks
MA Ranzato, YL Boureau, Y LeCun
Advances in neural information processing systems 20, 1185-1192, 2007
9502007
A tutorial on energy-based learning
Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang
Predicting structured data 1 (0), 2006
8232006
Gradient episodic memory for continual learning
D Lopez-Paz, MA Ranzato
Advances in neural information processing systems 30, 6467-6476, 2017
7812017
Unsupervised machine translation using monolingual corpora only
G Lample, A Conneau, L Denoyer, MA Ranzato
arXiv preprint arXiv:1711.00043, 2017
7372017
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
5682013
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
5382014
Phrase-based & neural unsupervised machine translation
G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato
arXiv preprint arXiv:1804.07755, 2018
4882018
Learning invariant features through topographic filter maps
K Kavukcuoglu, MA Ranzato, R Fergus, Y LeCun
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1605-1612, 2009
4152009
Phone recognition with the mean-covariance restricted Boltzmann machine
G Dahl, MA Ranzato, A Mohamed, GE Hinton
Advances in neural information processing systems 23, 469-477, 2010
4002010
Fader networks: Manipulating images by sliding attributes
G Lample, N Zeghidour, N Usunier, A Bordes, L Denoyer, MA Ranzato
arXiv preprint arXiv:1706.00409, 2017
3842017
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