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Krishnan et al., 2020 - Google Patents

Improving model calibration with accuracy versus uncertainty optimization

Krishnan et al., 2020

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Document ID
6764629857380442008
Author
Krishnan R
Tickoo O
Publication year
Publication venue
Advances in Neural Information Processing Systems

External Links

Snippet

Obtaining reliable and accurate quantification of uncertainty estimates from deep neural networks is important in safety-critical applications. A well-calibrated model should be accurate when it is certain about its prediction and indicate high uncertainty when it is likely …
Continue reading at proceedings.neurips.cc (PDF) (other versions)

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