Training robust machine learning models
US11416775B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2020 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Mar 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for training robust machine learning models for adversarial input data. Training data for a machine learning (ML) model is received. The training data includes a plurality of labels for data elements. First modified training data is generated by modifying one or more of the plurality of labels in the training data using parameterized label smoothing with a first optimization parameter. The ML model is trained using the first modified training data. The training includes updating a first one or more model weights in the ML model, and generating a second optimization parameter suitable for use in future parameterized label smoothing for future training of the ML model
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.