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:
Mar. 10, 2026

Filed:

Oct. 12, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Yujun Yan, Ann Arbor, MI (US);

Kevin Jordan Swersky, Toronto, CA;

Milad Olia Hashemi, San Francisco, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/045 (2023.01); G06N 3/04 (2013.01); G06N 3/0455 (2023.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. In one aspect, one of the systems includes one or more subroutine neural networks each comprising: an encoder neural network configured to receive an encoder network input comprising i) a subroutine input sequence of the subroutine neural network and ii) an input mask that masks one or more subroutine input elements of the subroutine input sequence and to generate an encoded representation of the encoder network input; a decoder neural network configured to receive the encoded representation and to generate the subroutine network output; and a masking neural network configured to generate an output mask, wherein the output mask will be used as the input mask of the encoder neural network at a subsequence time step of the plurality of time steps.


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