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REPARTI

MIVIM

Titre
[1] 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] 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] 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] 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] 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] 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] Stéphane Côté and Alexandra Mercier,
"Augmentation of road surfaces with subsurface utility model projections",
journal, March 2018.
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[8] Jinsong Zhang, Rodrigo Verschae, Shohei Nobuhara and Jean-François Lalonde,
"Deep Photovoltaic Nowcasting",
CoRR abs, vol. 1810.06327, 2018.
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[9] 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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[10] 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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