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:
Sep. 15, 2026

Filed:

Mar. 03, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Xuan-Hong Dang, Chappaqua, NY (US);

Dinesh C. Verma, New Castle, NY (US);

Seraphin Bernard Calo, Cortlandt Manor, NY (US);

Petros Zerfos, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/094 (2023.01); G06N 3/045 (2023.01); G06N 3/096 (2023.01);
U.S. Cl.
CPC ...
G06N 3/094 (2023.01); G06N 3/045 (2023.01); G06N 3/096 (2023.01);
Abstract

A method, computer system, and a computer program product for training a machine learning model are provided. A first set of labelled training data from a source domain is obtained. A second set of labelled training data from a target domain is obtained. A number of labelled samples of the first set is greater than a number of labelled samples of the second set. The first machine learning model is trained with the first set and the second set and with a discriminator so that the discriminator is unable to distinguish whether a sample is from the first set or from the second set. The first machine learning model is trained with triplet loss regularization using the first set and the second set.


Find Patent Forward Citations

Dang, Xuan-Hong. (2026). Machine learning model training with adversarial learning and triplet loss regularization (U.S. Patent No. 12737637). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12737637

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

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