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[11] 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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[12] 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.
download documentdownload document
[13] 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.
download documentdownload document
[14] 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.
download documentdownload document
[15] 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.
download documentdownload document
[16] 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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[17] 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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[18] 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.
download documentdownload document
[19] 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.
download documentdownload document
[20] 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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