Confident Learning: Estimating Uncertainty in Dataset Labels
<jats:p>Learning exists in the context of data, yet notions of confidence typically focus on model predictions, not label quality. Confident learning (CL) is an alternative approach which focuses instead on label quality by characterizing and identifying label errors in datasets, based on the...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
AI Access Foundation
2022
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| Online Access: | https://hdl.handle.net/1721.1/142946 |