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:
Nov. 03, 2026

Filed:

Sep. 27, 2022
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Zhengyi Zhou, Chappaqua, NY (US);

Cheryl Brooks, Maplewood, NJ (US);

Aritra Guha, Edison, NJ (US);

Yaron Kanza, Fair Lawn, NJ (US);

Balachander Krishnamurthy, New York, NY (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01);
Abstract

Transfer knowledge from auxiliary data for more inclusive machine learning models is provided. A method can include generating a common feature space comprising first data features, wherein the first data features are present in training data used to train a first machine learning model, and wherein the first data features are present in auxiliary data that are independent of the training data; generating a combined learned feature representation, the combined learned feature representation being representative of the first data features of the common feature space and second data features that are unique to the training data; and training a second machine learning model based on the combined learned feature representation.


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Zhou, Zhengyi. (2026). Transfer knowledge from auxiliary data for more inclusive machine learning models (U.S. Patent No. 12783940). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12783940

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