Moustapha Cissé

According to our database, Moustapha Cissé authored at least 26 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

On Mixup Regularization.

Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert

J. Mach. Learn. Res., 2022

2021

Variance Reduction in Deep Learning: More Momentum is All You Need.

Lionel Tondji, Sergii Kashubin, Moustapha Cissé

CoRR, 2021

Continental-Scale Building Detection from High Resolution Satellite Imagery.

Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn

CoRR, 2021

2020

Fairness with Overlapping Groups.

Forest Yang, Moustapha Cissé, Sanmi Koyejo

CoRR, 2020

2019

Comparative study of the mechanisms for personalization of information.

Moustapha Cissé, Marie Ndiaye, Khalifa Gaye, Ousmane Sall, Mouhamadou Saliou Diallo

Proceedings of the 9th International Conference on Information Systems and Technologies, 2019

2018

Fooling End-to-end Speaker Verification by Adversarial Examples.

Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet

CoRR, 2018

Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring.

Yossi Adi, Carsten Baum, Moustapha Cissé, Benny Pinkas, Joseph Keshet

Proceedings of the 27th USENIX Security Symposium, 2018

State of the art on mechanisms for personalization of information.

Mouhamadou Saliou Diallo, Moustapha Cissé, Marie N'diaye, Ousmane Sall

Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018

Kronecker Recurrent Units.

Cijo Jose, Moustapha Cissé, François Fleuret

Proceedings of the 35th International Conference on Machine Learning, 2018

mixup: Beyond Empirical Risk Minimization.

Hongyi Zhang, Moustapha Cissé, Yann N. Dauphin, David Lopez-Paz

Proceedings of the 6th International Conference on Learning Representations, 2018

Countering Adversarial Images using Input Transformations.

Chuan Guo, Mayank Rana, Moustapha Cissé, Laurens van der Maaten

Proceedings of the 6th International Conference on Learning Representations, 2018

Fooling End-To-End Speaker Verification With Adversarial Examples.

Felix Kreuk, Yossi Adi, Moustapha Cissé, Joseph Keshet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases.

Pierre Stock, Moustapha Cissé

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism.

Pierre Stock, Moustapha Cissé

CoRR, 2017

Houdini: Fooling Deep Structured Prediction Models.

Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet

CoRR, 2017

Unbounded cache model for online language modeling with open vocabulary.

Edouard Grave, Moustapha Cissé, Armand Joulin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples.

Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient softmax approximation for GPUs.

Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou

Proceedings of the 34th International Conference on Machine Learning, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.

Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Large margin classification with indefinite similarities.

Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang

Mach. Learn., 2016

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?

Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

ADIOS: Architectures Deep In Output Space.

Moustapha Cissé, Maruan Al-Shedivat, Samy Bengio

Proceedings of the 33nd International Conference on Machine Learning, 2016

2013

Robust Bloom Filters for Large MultiLabel Classification Tasks.

Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification.

Moustapha Cissé, Thierry Artières, Patrick Gallinari

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Deep Learners Benefit More from Out-of-Distribution Examples.

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

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010

Deep Self-Taught Learning for Handwritten Character Recognition

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

CoRR, 2010