Explaining cross domain model predictions
US11501115B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 14, 2020 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Mar 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for explaining cross domain model predictions are provided herein. A computer-implemented method includes providing a test data point to a domain adaptation model to obtain a prediction, wherein the domain adaptation model is trained on a set of labeled data points and a set of unlabeled data points. The method includes generating a task specific explanation for the prediction that includes one or more data points from among the sets that satisfy a threshold score for influencing the prediction. Additionally, the method includes generating a domain invariant explanation for the prediction. The domain variation explanation is generated by ranking pairs of data points based on a statistical similarity to the test data point, wherein each pair includes a data point from the set of labeled data points and a data point from the set of unlabeled data points.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.