| 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 |
| Wasserstein generative adversarial networks M Arjovsky, S Chintala, L Bottou International Conference on Machine Learning, 214-223, 2017 | 16082 | 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 | 10057 | 2011 |
| Large-scale machine learning with stochastic gradient descent L Bottou Proceedings of COMPSTAT'2010: 19th International Conference on Computational …, 2010 | 7305 | 2010 |
| Efficient backprop YA LeCun, L Bottou, GB Orr, KR Müller Neural networks: Tricks of the trade, Lecture Notes in Computer Science LNCS …, 1998 | 7100* | 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 | 4863 | 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 | 4000 | 2014 |
| Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM review 60 (2), 223-311, 2018 | 3611 | 2018 |
| Stochastic gradient descent tricks L Bottou Neural Networks: Tricks of the Trade: Second Edition, 421-436, 2012 | 3025 | 2012 |
| The Tradeoffs of Large-Scale Learning L Bottou, O Bousquet Neural Information Processing Systems 20, 161-168, 2008 | 2186 | 2008 |
| Advances in neural information processing systems A Krizhevsky (No Title), 1097, 2012 | 2151 | 2012 |
| Invariant risk minimization M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz arXiv preprint arXiv:1907.02893, 2019 | 1903 | 2019 |
| 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 |
| 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 |
| Online learning and stochastic approximations L eon Bottou Online learning in neural networks 17 (9), 142, 1998 | 1244 | 1998 |
| 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 | 1122 | 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 | 1058 | 1994 |
| Stochastic gradient learning in neural networks L Bottou Proceedings of Neuro-Nımes 91 (8), 12, 1991 | 938 | 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 | 928 | 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 | 880 | 2005 |
| Learning algorithms for classification: A comparison on handwritten digit recognition Y LeCun, LD Jackel, L Bottou, C Cortes, JS Denker, H Drucker, I Guyon, ... Neural networks: the statistical mechanics perspective 261 (276), 2, 1995 | 813 | 1995 |
| Online algorithms and stochastic approximations L Bottou Online learning in neural networks, 1998 | 810 | 1998 |
| Local learning algorithms L Bottou, V Vapnik Neural computation 4 (6), 888-900, 1992 | 797 | 1992 |
| Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising. L Bottou, J Peters, J Quiñonero-Candela, DX Charles, DM Chickering, ... Journal of Machine Learning Research 14 (11), 2013 | 779 | 2013 |
| Convergence properties of the k-means algorithms L Bottou, Y Bengio Advances in neural information processing systems 7, 1994 | 761 | 1994 |
| Large scale transductive SVMS. R Collobert, F Sinz, J Weston, L Bottou, T Joachims Journal of Machine Learning Research 7 (8), 2006 | 632 | 2006 |
| Parallel support vector machines: The cascade SVM H Graf, E Cosatto, L Bottou, I Dourdanovic, V Vapnik Advances in neural information processing systems 17, 2004 | 626 | 2004 |
| Large scale online learning L Bottou, Y Cun Advances in neural information processing systems 16, 2003 | 598 | 2003 |
| Stochastic learning L Bottou Summer School on Machine Learning, 146-168, 2003 | 564 | 2003 |
| Learning on the border: active learning in imbalanced data classification S Ertekin, J Huang, L Bottou, L Giles Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 560 | 2007 |
| Support vector machine solvers L Bottou, CJ Lin | 531 | 2007 |
| Unifying distillation and privileged information D Lopez-Paz, L Bottou, B Schölkopf, V Vapnik arXiv preprint arXiv:1511.03643, 2015 | 509 | 2015 |
| Advances in neural information processing systems 17: proceedings of the 2004 conference LK Saul, Y Weiss, L Bottou MIT Press, 2005 | 489 | 2005 |
| SGD-QN: Careful quasi-Newton stochastic gradient descent A Bordes, L Bottou, P Gallinari Journal of Machine Learning Research 10, 1737-1754, 2009 | 459 | 2009 |
| Trading convexity for scalability R Collobert, F Sinz, J Weston, L Bottou Proceedings of the 23rd international conference on Machine learning, 201-208, 2006 | 440 | 2006 |
| Neural networks: Tricks of the trade Y LeCun, L Bottou, GB Orr, KR Müller Springer Lecture Notes in Computer Sciences 1524 (5-50), 6, 1998 | 435 | 1998 |
| Toward automatic phenotyping of developing embryos from videos F Ning, D Delhomme, Y LeCun, F Piano, L Bottou, PE Barbano IEEE Transactions on Image Processing 14 (9), 1360-1371, 2005 | 408 | 2005 |
| Advances in neural information processing systems J Snoek, H Larochelle, RP Adams, F Pereira, CJC Burges, L Bottou, ... Practical Bayesian optimization of machine learning algorithms, 2951-9, 2012 | 388 | 2012 |
| From machine learning to machine reasoning: An essay L Bottou Machine learning 94, 133-149, 2014 | 384 | 2014 |
| High quality document image compression with" DjVu" L Bottou, P Haffner, PG Howard, P Simard, Y Bengio, Y Le Cun Journal of Electronic Imaging 7 (3), 410-425, 1998 | 384 | 1998 |
