METHOD AND DEVICE WITH ENSEMBLE MODEL FOR DATA LABELING

    公开(公告)号:US20240143976A1

    公开(公告)日:2024-05-02

    申请号:US18193781

    申请日:2023-03-31

    CPC classification number: G06N3/045

    Abstract: A method and device for labeling are provided. A labeling method includes: determining inference performance features of respective neural network models included in an ensemble model, wherein the inference performance features correspond to performance of the neural network models with respect to inferring classes of the ensemble model; based on the inference performance features, determining weights for each of the classes for each of the neural network models, wherein the weights are not weights of nodes of the neural network models; generating classification result data by performing a classification inference operation on labeling target inputs by the neural network models; determining score data representing confidences for each of the classes for the labeling target inputs by applying weights of the weight data to the classification result data; and measuring classification accuracy of the classification operation for the labeling target inputs based on the score data.

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