Training a machine learning model with limited training data
US11386326B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2019 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Jul 1, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include a transforming a trained machine learning model including by replacing at least one layer of the trained machine learning model with a dictionary matrix and a coefficient matrix. The dictionary matrix and the coefficient matrix may be formed by decomposing a weight matrix associated with the at least one layer of the trained machine learning model. A product of the dictionary matrix and the coefficient matrix may form a reduced-dimension representation of the weight matrix associated with the at least one layer of the trained machine learning model. The transformed machine learning model may be deployed to a client. Related systems and computer program products are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.