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RankMixup: Ranking-Based Mixup Training for Network Calibration

Network calibration aims to accurately estimate the level of confidences, which is particularly important for employing deep neural networks in real-world systems.

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Cite this as

Jongyoun Noh, Hyekang Park, Junghyup Lee, Bumsub Ham (2024). Dataset: RankMixup: Ranking-Based Mixup Training for Network Calibration. https://doi.org/10.57702/9vdmewx3

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2308.11990
Author	Jongyoun Noh
More Authors	Hyekang Park Junghyup Lee Bumsub Ham
Homepage	https://cvlab.yonsei.ac.kr/projects/RankMixup