Techniques for identification of out-of-distribution input data in neural networks
US11978258B2 · kind B2 · utility
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Key dates
| Filing date | Apr 6, 2021 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Nov 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training one or more neural networks to infer a plurality of characteristics about input information based, at least in part, on the one or more neural networks being independently trained to infer each of the plurality of characteristics about the input information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.