Moustapha Cissé

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 31

Top Topics

Speaker Verification

Empirical Risk Minimization

Top Venues

Publications

Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
On Mixup Regularization. J. Mach. Learn. Res. 23 (2022)
Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn
Continental-Scale Building Detection from High Resolution Satellite Imagery. CoRR (2021)
Lionel Tondji, Sergii Kashubin, Moustapha Cissé
Variance Reduction in Deep Learning: More Momentum is All You Need. CoRR (2021)
Forest Yang, Moustapha Cissé, Sanmi Koyejo
Fairness with Overlapping Groups. CoRR (2020)
Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
On Mixup Regularization. CoRR (2020)
Moustapha Cissé, Marie Ndiaye, Khalifa Gaye, Ousmane Sall, Mouhamadou Saliou Diallo
Comparative study of the mechanisms for personalization of information. ICIST (2019)
Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet
Fooling End-To-End Speaker Verification With Adversarial Examples. ICASSP (2018)
Cijo Jose, Moustapha Cissé, François Fleuret
Kronecker Recurrent Units. ICLR (Workshop) (2018)
Mouhamadou Saliou Diallo, Moustapha Cissé, Marie N'diaye, Ousmane Sall
State of the art on mechanisms for personalization of information. ICSENT (2018)
Hongyi Zhang, Moustapha Cissé, Yann N. Dauphin, David Lopez-Paz
mixup: Beyond Empirical Risk Minimization. ICLR (Poster) (2018)
Cijo Jose, Moustapha Cissé, François Fleuret
Kronecker Recurrent Units. ICML (2018)
Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten
Countering Adversarial Images using Input Transformations. ICLR (Poster) (2018)
Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. USENIX Security Symposium (2018)
Pierre Stock, Moustapha Cissé
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases. ECCV (6) (2018)
Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet
Fooling End-to-end Speaker Verification by Adversarial Examples. CoRR (2018)
Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. CoRR (2018)
Cijo Jose, Moustapha Cissé, François Fleuret
Kronecker Recurrent Units. CoRR (2017)
Edouard Grave, Moustapha Cissé, Armand Joulin
Unbounded cache model for online language modeling with open vocabulary. NIPS (2017)
Edouard Grave, Moustapha Cissé, Armand Joulin
Unbounded cache model for online language modeling with open vocabulary. CoRR (2017)
Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet
Houdini: Fooling Deep Structured Prediction Models. CoRR (2017)
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
Efficient softmax approximation for GPUs. ICML (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. ICML (2017)
Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten
Countering Adversarial Images using Input Transformations. CoRR (2017)
Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR (2017)
Pierre Stock, Moustapha Cissé
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism. CoRR (2017)
Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. NIPS (2017)
Hongyi Zhang, Moustapha Cissé, Yann N. Dauphin, David Lopez-Paz
mixup: Beyond Empirical Risk Minimization. CoRR (2017)
Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang
Large margin classification with indefinite similarities. Mach. Learn. 103 (2) (2016)
Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) (2016)
Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio
ADIOS: Architectures Deep In Output Space. ICML (2016)
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou
Efficient softmax approximation for GPUs. CoRR (2016)
Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari
Robust Bloom Filters for Large MultiLabel Classification Tasks. NIPS (2013)
Moustapha Cissé, Thierry Artières, Patrick Gallinari
Learning Compact Class Codes for Fast Inference in Large Multi Class Classification. ECML/PKDD (1) (2012)
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cissé, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard
Deep Learners Benefit More from Out-of-Distribution Examples. AISTATS (2011)
Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cissé, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard
Deep Self-Taught Learning for Handwritten Character Recognition CoRR (2010)