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:
May. 21, 2024

Filed:

Nov. 18, 2020
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Xiaohong Gong, Sunnyvale, CA (US);

Arturo Bajuelos Castillo, Miami, FL (US);

Sanjeev Jagannatha Rao, Sunnyvale, CA (US);

Xueliang Lu, Fremont, CA (US);

Amogh S. Asgekar, Palo Alto, CA (US);

Anton Alexandrov, San Francisco, CA (US);

Carsten Miklos Steinebach, El Cerrito, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/045 (2023.01); G06Q 30/0601 (2023.01); G06F 3/04842 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/045 (2023.01); G06Q 30/0641 (2013.01); G06F 3/04842 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network used to generate a ranking score for a network input. One of the methods includes generating training data and training the neural network on the training data. The training data includes a plurality of training pairs. The generating comprising: obtaining data indicating that a plurality of training network inputs were displayed in a user interface according to a presentation order, obtaining data indicating that a first training network input of the plurality of training network inputs has a positive label, determining that a second training network input of the plurality of training network inputs (i) has a negative label and (ii) is higher than the first training network input in the presentation order, and generating a training pair that includes the first training network input and the second training network input.


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