Patent · US Active

Method and apparatus with neural network training and inference

US11651053B2 · kind B2 · utility

0Cited by
2References
35Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMar 3, 2021
Grant dateMay 16, 2023
Priority date
Expiry dateJul 17, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG10L25/30
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A processor-implemented method using a neural network (NN) includes: receiving input data; and determining information inferred from the input data based on state information about a state in which the NN is activated in response to the input data, wherein an embedding vector generated by encoding the input data using at least a portion of the NN comprises information used to reconstruct a first partial region of the input data with a first accuracy and to reconstruct a second partial region of the input data with a second accuracy, and wherein the first partial region is adaptively determined based on either one or both of the inferred information and the embedding vector.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.