Batch selection policies for training machine learning models using active learning
US12282854B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 3, 2024 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | May 3, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model. In one aspect, a method comprises: generating a set of candidate batches of model inputs; generating, for each candidate batch of model inputs, a respective score for the candidate batch of model inputs that characterizes: (i) an uncertainty of the machine learning model in generating predicted labels for the model inputs in the candidate batch of model inputs, and (ii) a diversity of the model inputs in the candidate batch of model inputs; and selecting the current batch of model inputs from the set of candidate batches of model inputs based on the scores; and training the machine learning model on at least the current batch of model inputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.