Semi-supervised learning by entropy minimization Y Grandvalet, Y Bengio Advances in neural information processing systems 17, 2004 | 2553 | 2004 |
SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008 | 1849 | 2008 |
No unbiased estimator of the variance of k-fold cross-validation Y Bengio, Y Grandvalet Advances in Neural Information Processing Systems 16, 2003 | 1406 | 2003 |
More efficiency in multiple kernel learning A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Proceedings of the 24th international conference on Machine learning, 775-782, 2007 | 401 | 2007 |
Explicit inductive bias for transfer learning with convolutional networks LI Xuhong, Y Grandvalet, F Davoine International Conference on Machine Learning, 2825-2834, 2018 | 342 | 2018 |
Adaptive scaling for feature selection in SVMs Y Grandvalet, S Canu Advances in neural information processing systems 15, 2002 | 252 | 2002 |
Support vector machines with a reject option Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu Advances in neural information processing systems 21, 2008 | 228 | 2008 |
Bagging equalizes influence Y Grandvalet Machine Learning 55, 251-270, 2004 | 178 | 2004 |
Noise injection: Theoretical prospects Y Grandvalet, S Canu, S Boucheron Neural Computation 9 (5), 1093-1108, 1997 | 166 | 1997 |
Composite kernel learning M Szafranski, Y Grandvalet, A Rakotomamonjy Proceedings of the 25th international conference on Machine learning, 1040-1047, 2008 | 161 | 2008 |
Least absolute shrinkage is equivalent to quadratic penalization Y Grandvalet ICANN 98: Proceedings of the 8th International Conference on Artificial …, 1998 | 158 | 1998 |
Optimizing F-measures by cost-sensitive classification S Puthiya Parambath, N Usunier, Y Grandvalet Advances in neural information processing systems 27, 2014 | 156 | 2014 |
Semi-supervised marginboost F d'Alché-Buc, Y Grandvalet, C Ambroise Advances in neural information processing systems 14, 2001 | 121 | 2001 |
Inferring multiple graphical structures J Chiquet, Y Grandvalet, C Ambroise Statistics and Computing 21, 537-553, 2011 | 107 | 2011 |
A coverage-based approach to recommendation diversity on similarity graph SA Puthiya Parambath, N Usunier, Y Grandvalet Proceedings of the 10th ACM Conference on Recommender Systems, 15-22, 2016 | 105 | 2016 |
Transfer learning in computer vision tasks: Remember where you come from X Li, Y Grandvalet, F Davoine, J Cheng, Y Cui, H Zhang, S Belongie, ... Image and Vision Computing 93, 103853, 2020 | 98 | 2020 |
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage Y Grandvalet, S Canu Advances in neural information processing systems 11, 1998 | 96 | 1998 |
Combining two and three-way embedding models for link prediction in knowledge bases A Garcia-Duran, A Bordes, N Usunier, Y Grandvalet Journal of Artificial Intelligence Research 55, 715-742, 2016 | 79 | 2016 |
Bias in Estimating the Variance of K-Fold Cross-Validation Y Bengio, Y Grandvalet Statistical modeling and analysis for complex data problems, 75-95, 2005 | 68 | 2005 |
A baseline regularization scheme for transfer learning with convolutional neural networks X Li, Y Grandvalet, F Davoine Pattern Recognition 98, 107049, 2020 | 60 | 2020 |