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.
Patent No.:
Date of Patent:
Jan. 10, 2023
Filed:
Dec. 20, 2019
Applicant:
Robert Bosch Gmbh, Stuttgart, DE;
Inventors:
Rajshekhar Das, Pittsburgh, PA (US);
Filipe J. Cabrita Condessa, Pittsburgh, PA (US);
Jeremy Zieg Kolter, Pittsburgh, PA (US);
Assignee:
Robert Bosch GmbH, Stuttgart, DE;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 9/48 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 9/4881 (2013.01); G06N 3/0454 (2013.01); G06N 20/00 (2019.01);
Abstract
A system and method is disclosed for labeling an unlabeled dataset, with a labeling budget constraint and noisy oracles (i.e. noisy labels provided by annotator), using a noisy labeled dataset from another domain or application. The system and method combine active learning with noisy labels and active learning with domain adaptation to enhance classification performance.
Das, Rajshekhar. (2023). System and method of robust active learning method using noisy labels and domain adaptation (U.S. Patent No. 11551084). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11551084
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