SUBCOMPONENT MODEL TRAINING
    1.
    发明公开

    公开(公告)号:US20230229957A1

    公开(公告)日:2023-07-20

    申请号:US17576724

    申请日:2022-01-14

    CPC classification number: G06N20/00

    Abstract: Methods, apparatuses, and computer-program products are disclosed. The method may include inputting one or more subcomponent training datasets into the plurality of subcomponent models of the machine learning model, the machine learning model may be configured to perform a final task, and the plurality of subcomponent models may be configured to perform sequential subtasks that result in the final task. The method may include computing one or more weights for data points of the one or more subcomponent training datasets and the one or more weights may be based on a contribution of the data points to an end-to-end error loss measurement associated with performing the final task of the machine learning model. The method may include training the plurality of subcomponent models based on the one or more weights for the data points of the one or more subcomponent training datasets.

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