Adversarial training of machine learning models
US12242971B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 29, 2020 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Jul 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This document relates to training of machine learning models such as neural networks. One example method involves providing a machine learning model having one or more layers and associated parameters and performing a pretraining stage on the parameters of the machine learning model to obtain pretrained parameters. The example method also involves performing a tuning stage on the machine learning model by using labeled training samples to tune the pretrained parameters. The tuning stage can include performing noise adjustment of the labeled training examples to obtain noise-adjusted training samples. The tuning stage can also include adjusting the pretrained parameters based at least on the labeled training examples and the noise-adjusted training examples to obtain adapted parameters. The example method can also include outputting a tuned machine learning model having the adapted parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.