Slice-based dynamic neural networks
US12275412B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 13, 2024 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Feb 13, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using slice-based dynamic neural networks. One of the methods includes receiving a new input for processing by a neural network that includes a first conditional neural network layer that has a set of shared parameters and a respective set of slice parameters for each of a plurality of slices. One or more slices to which the new input belongs are identified. The new input is processed to generate a network output, including: receiving a layer input to the first conditional neural network layer; and processing the layer input using the set of shared parameters, the respective one or more sets of slice parameters for the identified one or more slices, but not the respective sets of slice parameters for any other slices to which the new input does not belong.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.