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:
Dec. 27, 2022

Filed:

May. 20, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Cong Li, Sunnyvale, CA (US);

Jay Adams, San Carlos, CA (US);

Manas Joglekar, Mountain View, CA (US);

Pranav Khaitan, Mountain View, CA (US);

Quoc V. Le, Sunnyvale, CA (US);

Mei Chen, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9035 (2019.01); G06F 40/242 (2020.01); G06F 11/34 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/9035 (2019.01); G06F 11/3466 (2013.01); G06F 40/242 (2020.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining, for each of one or more categorical features, a respective vocabulary of categorical feature values of the categorical feature that should be active during processing of inputs by a machine learning model. In one aspect, a method comprises: generating a batch of output sequences, each output sequence in the batch specifying, for each of the categorical features, a respective vocabulary of categorical feature values of the categorical feature that should be active; for each output sequence in the batch, determining a performance metric of the machine learning model on a machine learning task after the machine learning model has been trained to perform the machine learning task with only the respective vocabulary of categorical feature values of each categorical feature specified by the output sequence being active.


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