公开(公告)号：US20190258961A1

公开(公告)日：2019-08-22

申请号：US16402787

申请日：2019-05-03

Applicant: Google LLC

Inventor： Zhifeng Chen ,  Michael Schuster ,  Melvin Jose Johnson Premkumar ,  Yonghui Wu ,  Quoc V. Le ,  Maxim Krikun ,  Thorsten Brants

IPC: G06N20/00 ,  G06N3/04 ,  G06F17/28

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model. An exemplary system applying implicit bridging for machine learning tasks, as described in this specification, trains a machine learning model to perform certain types of machine learning tasks without requiring explicit training data for the certain types of machine learning tasks to be used during training.

公开(公告)号：US10248662B2

公开(公告)日：2019-04-02

申请号：US15926726

申请日：2018-03-20

Applicant: Google LLC

Inventor： Yonghui Wu ,  Michael E. Flaster ,  Randall G. Keller ,  Paul Haahr

IPC: H03M5/00 ,  H03M7/00 ,  G06F17/30 ,  G06F17/27 ,  G06F17/21 ,  G06F3/0484

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating descriptive text for images. In one aspect, a method includes identifying a set of seed descriptors for an image in a document that is hosted on a website. For each seed descriptor, structure information is generated that specifies a structure of the document with respect to the image and the seed descriptor. One or more templates are generated for each seed descriptor using the structure information for the seed descriptor. Each template can include image location information, document structure information, image feature information, and a generative rule that generates descriptive text for other images in other documents. Descriptive text for other images is generated using the templates and the other documents. The descriptive text is associated with the images.

公开(公告)号：US09971790B2

公开(公告)日：2018-05-15

申请号：US14211487

申请日：2014-03-14

Applicant: GOOGLE LLC

Inventor： Yonghui Wu ,  Michael E. Flaster ,  Randall G. Keller ,  Paul Haahr

IPC: H04N21/84 ,  H04N21/431 ,  H04N21/4782 ,  H04N21/4725 ,  G06F17/30 ,  G06F17/27 ,  G06F3/0484 ,  G06F17/21

CPC classification number: G06F17/30247 ,  G06F3/04842 ,  G06F17/211 ,  G06F17/212 ,  G06F17/2785 ,  G06F17/30011 ,  G06F17/30047 ,  G06F17/30253 ,  G06F17/30289 ,  G06F17/30876

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating descriptive text for images. In one aspect, a method includes identifying a set of seed descriptors for an image in a document that is hosted on a website. For each seed descriptor, structure information is generated that specifies a structure of the document with respect to the image and the seed descriptor. One or more templates are generated for each seed descriptor using the structure information for the seed descriptor. Each template can include image location information, document structure information, image feature information, and a generative rule that generates descriptive text for other images in other documents. Descriptive text for other images is generated using the templates and the other documents. The descriptive text is associated with the images.