Skimming data sequences using recurrent neural networks
US11048875B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2020 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | May 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/289
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing sequential data. In one aspect, a computer-implemented method includes receiving a request to generate a system output for an input data sequence, the input data sequence including a plurality of tokens. One or more tokens may be designated as tokens to be skipped. When a token has not been designated as a token to be skipped, the token is processed using a recurrent neural network to update a current internal state of the recurrent neural network. The system output is generated from the final internal state of the recurrent neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.