中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

7 records (took 0.01 seconds)

    Implicit bridging of machine learning tasks
    3.
    发明授权
    Implicit bridging of machine learning tasks 有权

    公开(公告)号：US10713593B2

    公开(公告)日：2020-07-14

    申请号：US15394708

    申请日：2016-12-29

    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 ,  G06N3/063 ,  G06F40/44 ,  G06F40/47

    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, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input.

    Implicit bridging of machine learning tasks
    4.
    发明授权
    Implicit bridging of machine learning tasks 有权

    公开(公告)号：US10679148B2

    公开(公告)日：2020-06-09

    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 ,  G06N3/063 ,  G06F40/44 ,  G06F40/47

    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.

    IMPLICIT BRIDGING OF MACHINE LEARNING TASKS
    6.
    发明申请
    IMPLICIT BRIDGING OF MACHINE LEARNING TASKS 审中-公开

    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.

    IMPLICIT BRIDGING OF MACHINE LEARNING TASKS
    7.
    发明申请
    IMPLICIT BRIDGING OF MACHINE LEARNING TASKS 有权

    公开(公告)号：US20250021889A1

    公开(公告)日：2025-01-16

    申请号：US18897967

    申请日：2024-09-26

    Applicant: Google LLC

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

    IPC: G06N20/00 ,  G06F40/44 ,  G06F40/47 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063

    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, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input.

Patent Agency Ranking