玩忽职守
发表于 2025-3-25 06:17:48
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严厉批评
发表于 2025-3-25 07:45:24
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思想上升
发表于 2025-3-25 14:17:48
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不要严酷
发表于 2025-3-25 16:32:28
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PHIL
发表于 2025-3-25 23:49:14
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反馈
发表于 2025-3-26 03:04:16
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想象
发表于 2025-3-26 06:20:00
Tony Ribeiro,Katsumi Inoue,Chiaki Sakamarform in comparison to in-model approaches, we benchmarked them against deep ensembles, which can be considered the gold standard for in-model uncertainty estimation, as well as to the softmax outputs of a deep neural network as a baseline. Despite a slightly higher Brier score, the UW provides othe
dysphagia
发表于 2025-3-26 09:56:10
Sriraam Natarajan,Phillip Odom,Saket Joshi,Tushar Khot,Kristian Kersting,Prasad Tadepallirform in comparison to in-model approaches, we benchmarked them against deep ensembles, which can be considered the gold standard for in-model uncertainty estimation, as well as to the softmax outputs of a deep neural network as a baseline. Despite a slightly higher Brier score, the UW provides othe
怒目而视
发表于 2025-3-26 14:44:45
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opprobrious
发表于 2025-3-26 18:17:23
Rui Camacho,Ruy Ramos,Nuno A. Fonsecae EAST-ADL. The contribution of this work is (1) the definition of properties that indicate the correct application of the workflow using the language. The properties and a model integrating the work products of the workflow are used for the automated detection of errors (property checker) and the a