Mahdieh Abbasi
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Robustness to Adversarial Examples through an Ensemble of Specialists
M Abbasi, C Gagné
ICLR Workshop, 2017
A Principled Approach for Learning Task Similarity in Multitask Learning
C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IJCAI, 2019
Alternating direction method of multipliers for sparse convolutional neural networks
F Kiaee, C Gagné, M Abbasi
arXiv preprint arXiv:1611.01590, 2016
Controlling over-generalization and its effect on adversarial examples generation and detection
M Abbasi, A Rajabi, AS Mozafari, RB Bobba, C Gagne
arXiv preprint arXiv:1808.08282, 2018
Toward adversarial robustness by diversity in an ensemble of specialized deep neural networks
M Abbasi, A Rajabi, C Gagné, RB Bobba
Canadian Conference on Artificial Intelligence, 1-14, 2020
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning
M Abbasi, A Rajabi, C Gagné, RB Bobba
Dependable and Secure Machine Learning (DSML), 2018
Task similarity estimation through adversarial multitask neural network
F Zhou, C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 466-480, 2020
Toward Metrics for Differentiating Out-of-Distribution Sets
M Abbasi, C Shui, A Rajabi, C Gagne, R Bobba
NeurIPS Workshop on Safety and Robustness in Decision Making; ECAI 2020, 2019
Monocular 3D human pose estimation with a semi-supervised graph-based method
M Abbasi, HR Rabiee, C Gagné
2015 International Conference on 3D Vision, 518-526, 2015
Self-supervised Robust Object Detectors from Partially Labelled datasets
M Abbasi, D Laurendeau, C Gagne, 2020
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