Learning device, learning method, and computer program product
US12033370B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2020 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Apr 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to an embodiment, a learning device includes one or more processors. The processors calculate a latent vector of each of a plurality of first target data, by using a parameter of a learning model configured to output a latent vector indicating a feature of a target data. The processors calculate, for each first target data, first probabilities that the first target data belongs to virtual classes on an assumption that the plurality of first target data belong to the virtual classes different from each other. The processors update the parameter such that a first loss of the first probabilities, and a second loss that is lower as, for each of element classes to which a plurality of elements included in each of the plurality of first target data belong, a relation with another element class is lower, become lower.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.