Debugging correctness issues in training machine learning models
US11556861B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2019 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Nov 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for debugging correctness issues in training machine learning models. In one aspect, a method comprises training a first machine learning model using a first computing system having a first configuration; training a second machine learning model using a second computing system having a second configuration, wherein the second configuration of the second computing system is different than the first configuration of the first computing system; and determining, for each of a plurality of shared training operations that are performed by both the first computing system and the second computing system, a respective similarity measure that measures a similarity between: a first training output generated by the first computing system by performing the shared training operation, and a second training output generated by the second computing system by performing the shared training operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.