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[1] |
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Sébastien De Blois, Mathieu Garon, Christian Gagné and Jean-François Lalonde, "Input Dropout for Spatially Aligned Modalities", ArXiv e-prints, vol. 2002.02852, 02 2020. |
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[2] |
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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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[3] |
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Azadeh Mozafari, Hugo Siqueira Gomes, Wilson Leão and Christian Gagné, "Unsupervised Temperature Scaling: An Unsupervised Post-Processing Calibration Method of Deep Networks", in ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, 6 2019. |
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[4] |
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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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[5] |
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Sébastien De Blois, Ihsen Hedhli and Christian Gagné, "Learning of Image Dehazing Models for Segmentation Tasks", ArXiv e-prints, vol. 1903.01530, 03 2019. |
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[6] |
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Karol Lina Lopez, Christian Gagné and Marc-André Gardner, "Demand-Side Management using Deep Learning for Smart Charging of Electric Vehicles", IEEE Transactions on Smart Grid, vol. 10, no 3, 5 2019. |
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[7] |
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Azadeh Mozafari, Hugo Siqueira Gomes, Steeven Janny and Christian Gagné, " A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks", ArXiv e-prints, vol. 1810.11586, 10 2018. |
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[8] |
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Changjian Shui, Ihsen Hedhli and Christian Gagné, " Accumulating Knowledge for Lifelong Online Learning", ArXiv e-prints, vol. 1810.11479, 10 2018. |
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[9] |
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Audrey Durand, Theresa Wiesner, Marc-André Gardner, Louis-Émile Robitaille, Anthony Bilodeau, Christian Gagné, Paul De Koninck and Flavie Lavoie-Cardinal, "A machine learning approach for automated optimization of super-resolution optical microscopy", Nature Communications, vol. 9, no 5247, 12 2018. |
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[10] |
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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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