The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

May. 19, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Weizhu Chen, Kirkland, WA (US);

Jingfeng Hu, Redmond, WA (US);

Yelong Shen, Redmond, WA (US);

Shean Wang, Sammamish, WA (US);

Yabin Liu, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 3/10 (2006.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/10 (2013.01); G06N 5/04 (2013.01);
Abstract

A computer implemented method obtains neural network-based model base model weight matrices for each of multiple neural network layers. First low-rank factorization matrices are added to corresponding base model weight matrices to form a first domain model. The low-rank factorization matrices are treated as trainable parameters. The first domain model is trained with first domain specific training data without modifying base model weight matrices.


Find Patent Forward Citations

Chen, Weizhu. (2026). Low-rank adaptation of neural network models (U.S. Patent No. 12718102). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12718102

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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