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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.:

US 11804034 B1

PDFFull Text
Date of Patent:
Oct. 31, 2023

Filed:

Apr. 16, 2021

Training a function to respond predictably to differences

Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Thomas Andy Keller, Amsterdam, NL;

Anna Khoreva, Stuttgart, DE;

Max Welling, Amsterdam, NL;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:

NORTON ROSE FULBRIGHT US LLP

Gerard Messina

Primary Examiner:

Utpal D Shah

Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06V 10/776 (2022.01); G06V 20/56 (2022.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06V 10/764 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06F 18/2155 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 20/56 (2022.01); G06V 20/70 (2022.01);
Abstract

A computer-implemented method of training a machine learnable function, such as an image classifier or image feature extractor. When applying such machine learnable functions in autonomous driving and similar application areas, generalizability may be important. To improve generalizability, the machine learnable function is rewarded for responding predictably at a layer of the machine learnable function to a set of differences between input observations. This is done by means of a regularization objective included in the objective function used to train the machine learnable function. The regularization objective rewards a mutual statistical dependence between representations of input observations at the given layer, given a difference label indicating a difference between the input observations.

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Quick Actions:

Keller, Thomas. (2023). Training a function to respond predictably to differences (U.S. Patent No. 11804034). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11804034

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