Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence

Research article (Neural Information Processing Systems, 2021) · cited 41× · AI/ML
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Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence

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Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence. Retrieved May 24, 2026, from https://4ort.xyz/entity/rethinking-calibration-of-deep-neural-networks-do-not-be-afraid-of-overconfidence
MLA “Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rethinking-calibration-of-deep-neural-networks-do-not-be-afraid-of-overconfidence.
BibTeX @misc{4ortxyz_rethinking-calibration-of-deep-neural-networks-do-not-be-afraid-of-overconfidence_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence}}, year = {2026}, url = {https://4ort.xyz/entity/rethinking-calibration-of-deep-neural-networks-do-not-be-afraid-of-overconfidence}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence — https://4ort.xyz/entity/rethinking-calibration-of-deep-neural-networks-do-not-be-afraid-of-overconfidence (retrieved 2026-05-24)

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