| Deep learning Y LeCun, Y Bengio, G Hinton nature 521 (7553), 436-444, 2015 | 78546 | 2015 |
| Gradient-based learning applied to document recognition Y LeCun, L Bottou, Y Bengio, P Haffner Proceedings of the IEEE 86 (11), 2278-2324, 1998 | 64202 | 1998 |
| Backpropagation applied to handwritten zip code recognition Y LeCun, B Boser, JS Denker, D Henderson, RE Howard, W Hubbard, ... Neural computation 1 (4), 541-551, 1989 | 16504 | 1989 |
| Convolutional networks for images, speech, and time series Y LeCun, Y Bengio The handbook of brain theory and neural networks 3361 (10), 1995, 1995 | 8054 | 1995 |
| OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y LeCun International Conference on Learning Representations (ICLR 2014), 2014 | 7674 | 2014 |
| The MNIST database of handwritten digits Y LeCun, C Cortes | 7482 | 1998 |
| Efficient backprop Y LeCun, L Bottou, GB Orr, KR Müller Neural networks: Tricks of the trade, 9-50, 2002 | 7100 | 2002 |
| Character-level convolutional networks for text classification X Zhang, J Zhao, Y LeCun Advances in neural information processing systems 28, 2015 | 6598 | 2015 |
| Handwritten digit recognition with a back-propagation network Y LeCun, B Boser, JS Denker, D Henderson, RE Howard, W Hubbard, ... Advances in neural information processing systems 2, NIPS 1989, 396-404, 1990 | 6307 | 1990 |
| Spectral Networks and Locally Connected Networks on Graphs J Bruna, W Zaremba, A Szlam, Y LeCun International Conference on Learning Representations (ICLR 2014), 2014 | 5900 | 2014 |
| Optimal Brain Damage Y LeCun, JS Denker, SA Solla Advances in neural information processing systems 2, NIPS 1989 2, 598-605, 1990 | 5888 | 1990 |
| Dimensionality reduction by learning an invariant mapping R Hadsell, S Chopra, Y LeCun Computer vision and pattern recognition 2006. CVPR 2006. IEEE computer …, 2006 | 5864 | 2006 |
| MNIST handwritten digit database Y LeCun, C Cortes, C Burges | 5419 | 2010 |
| Learning a similarity metric discriminatively, with application to face verification S Chopra, R Hadsell, Y LeCun 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 5188 | 2005 |
| Signature verification using a" siamese" time delay neural network J Bromley, I Guyon, Y LeCun, E Säckinger, R Shah Advances in neural information processing systems 6, 1993 | 4863 | 1993 |
| Geometric deep learning: going beyond euclidean data MM Bronstein, J Bruna, Y LeCun, A Szlam, P Vandergheynst IEEE Signal Processing Magazine 34 (4), 18-42, 2017 | 3753 | 2017 |
| Learning Hierarchical Features for Scene Labeling C Farabet, C Couprie, L Najman, Y LeCun IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (35), 1915-1929, 2013 | 3459 | 2013 |
| A Closer Look at Spatiotemporal Convolutions for Action Recognition D Tran, H Wang, L Torresani, J Ray, Y LeCun, M Paluri computer vision and pattern recognition conference (CVPR 2018), 2017 | 3247 | 2017 |
| Regularization of neural networks using dropconnect L Wan, M Zeiler, S Zhang, Y LeCun, R Fergus 30th International Conference on Machine Learning (ICML 2013), 1058-1066, 2013 | 3244 | 2013 |
| What is the best multi-stage architecture for object recognition? K Jarrett, K Kavukcuoglu, MA Ranzato, Y LeCun Computer Vision, 2009. ICCV 2009. IEEE 12th International Conference on …, 2009 | 3069 | 2009 |
| Convolutional networks and applications in vision Y LeCun, K Kavukcuoglu, C Farabet Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010 | 2909 | 2010 |
| Deep multi-scale video prediction beyond mean square error M Mathieu, C Couprie, Y LeCun international Conference on Learning Representations (ICLR 2016), 2015 | 2234 | 2015 |
| Barlow twins: Self-supervised learning via redundancy reduction J Zbontar, L Jing, I Misra, Y LeCun, S Deny International Conference on Machine Learning (ICML) 139, 12310-12320, 2021 | 2003 | 2021 |
| Exploiting linear structure within convolutional networks for efficient evaluation EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus Advances in neural information processing systems 27, 2014 | 1991 | 2014 |
| Learning fast approximations of sparse coding K Gregor, Y Lecun Machine Learning (ICML), 2010, International Conference on, 1-8, 2010 | 1938 | 2010 |
| Deep convolutional networks on graph-structured data M Henaff, J Bruna, Y LeCun arXiv preprint arXiv:1506.05163, 2015 | 1924 | 2015 |
| Joint training of a convolutional network and a graphical model for human pose estimation JJ Tompson, A Jain, Y LeCun, C Bregler Advances in neural information processing systems, 1799-1807, 2014 | 1906 | 2014 |
| A theoretical analysis of feature pooling in visual recognition YL Boureau, J Ponce, Y LeCun Machine Learning (ICML), 2010, International Conference on, 2010 | 1872 | 2010 |
| Efficient learning of sparse representations with an energy-based model MA Ranzato, C Poultney, S Chopra, Y LeCun Advances in neural information processing systems 19, NIPS 2006 19, 1137-1144, 2006 | 1868 | 2006 |
| Learning methods for generic object recognition with invariance to pose and lighting Y LeCun, FJ Huang, L Bottou Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 1866 | 2004 |
| Scaling learning algorithms toward AI Y Bengio, Y LeCun | 1840 | 2007 |
| Efficient object localization using convolutional networks J Tompson, R Goroshin, A Jain, Y LeCun, C Bregler computer Vision and Pattern Recognition (CVPR 2015), 2014 | 1753 | 2014 |
| Comparison of Learning Algorithms for Handwritten Digit Recognition Y LeCun, L Jackel, L Bottou, A Brunot, C Cortes, J Denker, H Drucker, ... International Conference on Artificial Neural Networks, 53-60, 1995 | 1722* | 1995 |
| Generalization and network design strategies Y LeCun Connectionism in perspective 19 (143-155), 18, 1989 | 1690 | 1989 |
| Very deep convolutional networks for natural language processing A Conneau, H Schwenk, L Barrault, Y Lecun arXiv preprint arXiv:1606.01781 2 (1), 2016 | 1637* | 2016 |
| Object recognition with gradient-based learning DA Forsyth, JL Mundy, V di Gesú, R Cipolla, Y LeCun, P Haffner, L Bottou, ... Shape, contour and grouping in computer vision, 319-345, 1999 | 1605 | 1999 |
| The Loss Surface of Multilayer Networks A Choromanska, M Henaff, M Mathieu, G Ben Arous, Y LeCun AI & Statistics (AIStats 2015), 2015 | 1569 | 2015 |
| Energy-based generative adversarial network J Zhao, M Mathieu, Y LeCun international Conference on Learning Representations (ICLR 2017), 2016 | 1547 | 2016 |
| A tutorial on energy-based learning Y LeCun, S Chopra, R Hadsell, M Ranzato, F Huang Predicting Structured Data, 2006 | 1547 | 2006 |
| Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches J Žbontar, Y LeCun Journal of Machine Learning Research 17, 1-32, 2016 | 1531 | 2016 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
