Joint learning from explicit and inferred labels
US12073326B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 4, 2023 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Oct 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This document relates to training of machine learning models. One example method involves providing a machine learning model having a first classification layer, a second classification layer, and an encoder that feeds into the first classification layer and the second classification layer. The example method also involves obtaining first training examples having explicit labels and second training examples having inferred labels. The inferred labels are based at least on actions associated with the second training examples. The example method also involves training the machine learning model using the first training examples and the second training examples using a training objective that considers first training loss of the first classification layer for the explicit labels and second training loss of the second classification layer for the inferred labels. The method also involves outputting a trained machine learning model having the encoder and the first classification layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.