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[1] Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba,
"Toward Metrics for Differentiating Out-of-Distribution Sets",
in NeurIPS Workshop on Safety and Robustness in Decision Making, 12 2019.
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[2] Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Buyo Wang and Christian Gagné,
"A Principled Approach for Learning Task Similarity in Multitask Learning",
in International Joint Conference on Artificial Intelligence, 8 2019.
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[3] Mahdieh Abbasi, Arezoo Rajabi, Azadeh Mozafari, Rakesh B. Bobba and Christian Gagné,
"Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection",
ArXiv e-prints, vol. 1808.08282, 8 2018.
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[4] Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba,
"Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning",
in DSN Workshop on Dependable and Secure Machine Learning (DSML 2018), June 2018.
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[5] Mahdieh Abbasi and Christian Gagné,
"Robustness to Adversarial Examples through an Ensemble of Specialists",
in International Conference on Learning Representations (ICLR), Workshop Track, 4 2017.
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[6] Farkhondeh Kiaee, Christian Gagné and Mahdieh Abbasi,
"Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks",
ArXiv e-prints, vol. 1611.01590, 11 2016.
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[7] Mahdieh Abbasi, Hamid R. Rabiee and Christian Gagné,
"Monocular 3D Human Pose Estimation with a Semi-supervised Graph-based Method",
in Proc. of the International Conference on 3D Vision (3DV), 10 2015.
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