| Gradient-based learning applied to document recognition Y LeCun, L Bottou, Y Bengio, P Haffner Proceedings of the IEEE 86 (11), 2278-2324, 1998 | 28016 | 1998 |
| Natural language processing (almost) from scratch R Collobert, J Weston, L Bottou, M Karlen, K Kavukcuoglu, P Kuksa Journal of machine learning research 12 (ARTICLE), 2493− 2537, 2011 | 6244 | 2011 |
| Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou Journal of machine learning research 11 (12), 2010 | 4910 | 2010 |
| Wasserstein generative adversarial networks M Arjovsky, S Chintala, L Bottou International Conference on Machine Learning, 214-223, 2017 | 4712* | 2017 |
| Large-scale machine learning with stochastic gradient descent L Bottou Proceedings of COMPSTAT'2010, 177-186, 2010 | 3602 | 2010 |
| Efficient backprop YA LeCun, L Bottou, GB Orr, KR Müller Neural networks: Tricks of the trade, Lecture Notes in Computer Science LNCS …, 1998 | 3436* | 1998 |
| 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 | 2406 | 2014 |
| 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, 737-744, 1994 | 1800 | 1994 |
| The Tradeoffs of Large-Scale Learning L Bottou, O Bousquet Neural Information Processing Systems 20, 161-168, 2008 | 1442 | 2008 |
| 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 | 1256 | 2004 |
| Online learning and stochastic approximations L Bottou On-line learning in neural networks 17 (9), 142, 1998 | 1128 | 1998 |
| Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal Siam Review 60 (2), 223-311, 2018 | 1085 | 2018 |
| Towards principled methods for training generative adversarial networks M Arjovsky, L Bottou arXiv preprint arXiv:1701.04862, 2017 | 1021 | 2017 |
| Stochastic gradient descent tricks L Bottou Neural networks: Tricks of the trade, 421-436, 2012 | 1019 | 2012 |
| 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 | 853 | 1994 |
| Fast kernel classifiers with online and active learning A Bordes, S Ertekin, J Weston, L Bottou Journal of Machine Learning Research 6 (Sep), 1579-1619, 2005 | 737 | 2005 |
| Comparison of learning algorithms for handwritten digit recognition Y LeCun, LD Jackel, L Bottou, A Brunot, C Cortes, J Denker, H Drucker, ... International conference on artificial neural networks 60, 53-60, 1995 | 705 | 1995 |
| Local learning algorithms L Bottou, V Vapnik Neural computation 4 (6), 888-900, 1992 | 669 | 1992 |
| 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 | 628 | 2015 |
| On-line learning in neural networks D Saad Cambridge University Press, 2009 | 611 | 2009 |
