Cisse, Moustapha

12 publications

JMLR 2022 On Mixup Regularization Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert

ECCV 2018 ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases Pierre Stock, Moustapha Cisse

ICLR 2018 Countering Adversarial Images Using Input Transformations Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

ICML 2018 Kronecker Recurrent Units Cijo Jose, Moustapha Cisse, Francois Fleuret

ICLR 2018 Mixup: Beyond Empirical Risk Minimization Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz

ICML 2017 Efficient SoftMax Approximation for GPUs Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou

ICML 2017 Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier

ICML 2016 ADIOS: Architectures Deep in Output Space Moustapha Cisse, Maruan Al-Shedivat, Samy Bengio

ECML-PKDD 2016 Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang

MLJ 2016 Large Margin Classification with Indefinite Similarities Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang

ECML-PKDD 2012 Learning Compact Class Codes for Fast Inference in Large Multi Class Classification Moustapha Cissé, Thierry Artières, Patrick Gallinari

AISTATS 2011 Deep Learners Benefit More from Out-of-Distribution Examples Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger–Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard