Intelligent learning system with noisy label data
US11663486B2 · kind B2 · utility
1Cited by
1References
17Claims
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Key dates
| Filing date | Jun 23, 2020 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Jun 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are provided for providing machine learning with noisy label data in a computing environment using one or more processors in a computing system. A label corruption probability of noisy labels may be estimated for selected data from a dataset using temporal inconsistency in a machine model prediction during a training operation in a neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.