| 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 | 8403 | 2014 |
| 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, 2012 | 4942 | 2012 |
| Devise: A deep visual-semantic embedding model A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ... Advances in neural information processing systems 26, 2013 | 3358 | 2013 |
| 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 | 3150 | 2009 |
| Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 3125 | 2013 |
| Gradient episodic memory for continual learning D Lopez-Paz, MA Ranzato Advances in neural information processing systems 30, 2017 | 2829 | 2017 |
| Efficient Learning of Sparse Overcomplete Representations with an Energy-Based Model M Ranzato, CS Poultney, S Chopra, Y LeCun Neural Information Processing Systems, 2006 | 1894* | 2006 |
| Sequence level training with recurrent neural networks MA Ranzato, S Chopra, M Auli, W Zaremba arXiv preprint arXiv:1511.06732, 2015 | 1876 | 2015 |
| A tutorial on energy-based learning Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang Predicting structured data 1 (0), 2006 | 1719 | 2006 |
| Predicting parameters in deep learning M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas Advances in neural information processing systems 26, 2013 | 1642 | 2013 |
| 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 | 1597 | 2007 |
| Efficient lifelong learning with a-gem A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny arXiv preprint arXiv:1812.00420, 2018 | 1512 | 2018 |
| Word translation without parallel data A Conneau, G Lample, MA Ranzato, L Denoyer, H Jégou arXiv preprint arXiv:1710.04087, 2017 | 1317 | 2017 |
| Unsupervised machine translation using monolingual corpora only G Lample, A Conneau, L Denoyer, MA Ranzato arXiv preprint arXiv:1711.00043, 2017 | 1282 | 2017 |
| Sparse feature learning for deep belief networks MA Ranzato, YL Boureau, Y Cun Advances in neural information processing systems 20, 2007 | 1176 | 2007 |
| Phrase-based & neural unsupervised machine translation G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato arXiv preprint arXiv:1804.07755, 2018 | 783 | 2018 |
| 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 | 754 | 2013 |
| 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 | 641 | 2014 |
| Word translation without parallel data G Lample, A Conneau, MA Ranzato, L Denoyer, H Jégou International conference on learning representations, 2018 | 613 | 2018 |
| Fader networks: Manipulating images by sliding attributes G Lample, N Zeghidour, N Usunier, A Bordes, L Denoyer, MA Ranzato Advances in neural information processing systems 30, 2017 | 608 | 2017 |
