| Gradient-based learning applied to document recognition Y LeCun, L Bottou, Y Bengio, P Haffner Proceedings of the IEEE 86 (11), 2278-2324, 1998 | 70661 | 1998 |
| Wasserstein generative adversarial networks M Arjovsky, S Chintala, L Bottou International Conference on Machine Learning, 214-223, 2017 | 17907 | 2017 |
| Natural language processing (almost) from scratch R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa Journal of machine learning research 12, 2493− 2537, 2011 | 10445 | 2011 |
| Large-scale machine learning with stochastic gradient descent L Bottou Proceedings of COMPSTAT'2010: 19th International Conference on Computational …, 2010 | 7808 | 2010 |
| Efficient backprop YA LeCun, L Bottou, GB Orr, KR Müller Neural networks: Tricks of the trade, Lecture Notes in Computer Science LNCS …, 1998 | 7460* | 1998 |
| 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 | 5281 | 1993 |
| Learning and transferring mid-level image representations using convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 4128 | 2014 |
| Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM review 60 (2), 223-311, 2018 | 4047 | 2018 |
| Stochastic gradient descent tricks L Bottou Neural Networks: Tricks of the Trade: Second Edition, 421-436, 2012 | 3276 | 2012 |
| Towards principled methods for training generative adversarial networks M Arjovsky, L Bottou arXiv preprint arXiv:1701.04862, 2017 | 2980 | 2017 |
| Invariant risk minimization M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz arXiv preprint arXiv:1907.02893, 2019 | 2290 | 2019 |
| The Tradeoffs of Large-Scale Learning L Bottou, O Bousquet Neural Information Processing Systems 20, 161-168, 2008 | 2272 | 2008 |
| Online algorithms and stochastic approximations L Bottou Online learning in neural networks, 1998 | 2089* | 1998 |
| 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 | 1943 | 2004 |
| 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 | 1695 | 1999 |
| Is object localization for free?-weakly-supervised learning with convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1163 | 2015 |
| Comparison of classifier methods: a case study in handwritten digit recognition L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, LD Jackel, Y LeCun, ... Proceedings of the 12th IAPR International Conference on Pattern Recognition …, 1994 | 1091 | 1994 |
| Stochastic gradient learning in neural networks L Bottou Proceedings of Neuro-Nımes 91 (8), 12, 1991 | 1000 | 1991 |
| 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 60 (1), 53-60, 1995 | 959 | 1995 |
| Fast kernel classifiers with online and active learning. A Bordes, S Ertekin, J Weston, L Botton, N Cristianini Journal of machine learning research 6 (9), 2005 | 891 | 2005 |
