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:
Jul. 14, 2026

Filed:

Oct. 24, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Rajiv Bhawanji Jain, Falls Church, VA (US);

Michelle Yuan, Montclair, NJ (US);

Vlad Ion Morariu, Potomac, MD (US);

Ani Nenkova Nenkova, Philadelphia, PA (US);

Smitha Bangalore Naresh, Sudbury, MA (US);

Nikolaos Barmpalios, Palo Alto, CA (US);

Ruchi Deshpande, Belmont, CA (US);

Ruiyi Zhang, San Jose, CA (US);

Jiuxiang Gu, Baltimore, MD (US);

Varun Manjunatha, Newton, MA (US);

Nedim Lipka, Campbell, CA (US);

Andrew Marc Greene, Newton, MA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 40/169 (2020.01);
U.S. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 40/169 (2020.01);
Abstract

Systems and methods for document classification are described. Embodiments of the present disclosure generate classification data for a plurality of samples using a neural network trained to identify a plurality of known classes; select a set of samples for annotation from the plurality of samples using an open-set metric based on the classification data, wherein the annotation includes an unknown class; and train the neural network to identify the unknown class based on the annotation of the set of samples.


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