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Estimating uncertainty in image-to-image networks is an important task, particularly as such networks are being increasingly deployed in the biological and medical imaging realms.
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Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, et al · 2021
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The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
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A gentle introduction to conformal prediction and distribution-free uncertainty quantification
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Anastasios N Angelopoulos, Stephen Bates, Emmanuel J Candès, Michael I Jordan, and Lihua Lei · 2021
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