Moustapha Cissé

Affiliations:
  • Sorbonne University


According to our database1, Moustapha Cissé authored at least 26 papers between 2010 and 2022.

Collaborative distances:

Timeline

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Bibliography

2022
On Mixup Regularization.
J. Mach. Learn. Res., 2022

2021
Variance Reduction in Deep Learning: More Momentum is All You Need.
CoRR, 2021

Continental-Scale Building Detection from High Resolution Satellite Imagery.
CoRR, 2021

2020
Fairness with Overlapping Groups.
CoRR, 2020

2019
Comparative study of the mechanisms for personalization of information.
Proceedings of the 9th International Conference on Information Systems and Technologies, 2019

2018
Fooling End-to-end Speaker Verification by Adversarial Examples.
CoRR, 2018

Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring.
Proceedings of the 27th USENIX Security Symposium, 2018

State of the art on mechanisms for personalization of information.
Proceedings of the 7th International Conference on Software Engineering and New Technologies, 2018

mixup: Beyond Empirical Risk Minimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Kronecker Recurrent Units.
Proceedings of the 6th International Conference on Learning Representations, 2018

Countering Adversarial Images using Input Transformations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Fooling End-To-End Speaker Verification With Adversarial Examples.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
ConvNets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism.
CoRR, 2017

Houdini: Fooling Deep Structured Prediction Models.
CoRR, 2017

Unbounded cache model for online language modeling with open vocabulary.
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.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient softmax approximation for GPUs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Large margin classification with indefinite similarities.
Mach. Learn., 2016

Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

ADIOS: Architectures Deep In Output Space.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2013
Robust Bloom Filters for Large MultiLabel Classification Tasks.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Deep Learners Benefit More from Out-of-Distribution Examples.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

2010
Deep Self-Taught Learning for Handwritten Character Recognition
CoRR, 2010


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