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[1] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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] |
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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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