Compression of machine learned models
US10970470B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 6, 2020 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Feb 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices and techniques are generally described for compression of natural language processing models. A first index value to a first address of a weight table may be stored in a hash table. The first address may store a first weight associated with a first feature of a natural language processing model. A second index value to a second address of the weight table may be stored in the hash table. The second address may store a second weight associated with a second feature of the natural language processing model. A first code associated with the first feature and comprising a first number of bits may be generated. A second code may be generated associated with the second feature and comprising a second number of bits greater than the first number of bits based on a magnitude of the second weight being greater than a magnitude of the first weight.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.