UNSUPERVISED MODEL DRIFT ESTIMATION SYSTEM FOR DATASET SHIFT DETECTION AND MODEL SELECTION

    公开(公告)号:US20240370731A1

    公开(公告)日:2024-11-07

    申请号:US18573527

    申请日:2021-11-03

    Abstract: Systems, apparatuses and methods include technology that identifies a first neural network, wherein the first neural network is associated with a first training parameter and first population data that are generated during a process to train the first neural network. The technology executes a first neural network process to serve input data with the first neural network, and estimates a first drift of the first neural network based on the first neural network process, the first training parameter and the first population data to determine whether to retrain the first neural network.

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