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:
Jun. 23, 2026

Filed:

Feb. 18, 2022
Applicant:

Theta Lake, Inc., Santa Barbara, CA (US);

Inventors:

Rohit Jain, Ventura, CA (US);

Devin H. Redmond, Encinitas, CA (US);

Richard B. Sutton, San Mateo, CA (US);

Assignee:

THETA LAKE, INC., Santa Barbara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/2113 (2023.01); G06F 18/22 (2023.01); G06N 3/043 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2155 (2023.01); G06F 18/2113 (2023.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06N 3/043 (2023.01);
Abstract

Systems, methods and computer program products for sample efficient training of machine learning models are provided. A process may proceed, starting with an initial set of labeled examples and the initial set of unlabeled examples, to label unlabeled examples in an iterative manner, with the input dataset for a next iteration comprising an augmented set of labeled examples from a current iteration and selected unlabeled examples, until a final set of labeled examples is created. The final set of labeled examples is used to train a machine learning model. Each iteration includes mapping the input dataset to a reduced dimension space and using the reduced dimension space to identify high value examples to label.


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