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Title |
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[11] |
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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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[12] |
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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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[13] |
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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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[14] |
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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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[15] |
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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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[16] |
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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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[17] |
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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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[18] |
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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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[19] |
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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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[20] |
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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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