Dropout injection at test time for post hoc uncertainty quantification in neural networks

Research article (Information Sciences, 2023) · cited 20× · AI/ML
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Dropout injection at test time for post hoc uncertainty quantification in neural networks

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Dropout injection at test time for post hoc uncertainty quantification in neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dropout injection at test time for post hoc uncertainty quantification in neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/dropout-injection-at-test-time-for-post-hoc-uncertainty-quantification-in-neural-networks
MLA “Dropout injection at test time for post hoc uncertainty quantification in neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dropout-injection-at-test-time-for-post-hoc-uncertainty-quantification-in-neural-networks.
BibTeX @misc{4ortxyz_dropout-injection-at-test-time-for-post-hoc-uncertainty-quantification-in-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dropout injection at test time for post hoc uncertainty quantification in neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/dropout-injection-at-test-time-for-post-hoc-uncertainty-quantification-in-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dropout injection at test time for post hoc uncertainty quantification in neural networks — https://4ort.xyz/entity/dropout-injection-at-test-time-for-post-hoc-uncertainty-quantification-in-neural-networks (retrieved 2026-05-24)

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