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. 26, 2023

Filed:

Jun. 06, 2022
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Alexander Lerchner, London, GB;

Irina Higgins, London, GB;

Nicolas Sonnerat, London, GB;

Arka Tilak Pal, London, GB;

Demis Hassabis, London, GB;

Loic Matthey-de-l'Endroit, London, GB;

Christopher Paul Burgess, Purley, GB;

Matthew Botvinick, Philadelphia, PA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06T 9/00 (2006.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/045 (2023.01); G06T 9/002 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for learning visual concepts using neural networks. One of the methods includes receiving a new symbol input comprising one or more symbols from a vocabulary; and generating a new output image that depicts concepts referred to by the new symbol input, comprising: processing the new symbol input using a symbol encoder neural network to generate a new symbol encoder output for the new symbol input; sampling, from the distribution parameterized by the new symbol encoder output, a respective value for each of a plurality of visual factors; and processing a new image decoder input comprising the respective values for the visual factors using an image decoder neural network to generate the new output image.


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