APPARATUS, SYSTEM, AND METHOD OF GENERATING A MULTI-MODEL MACHINE LEARNING (ML) ARCHITECTURE

    公开(公告)号:US20220222927A1

    公开(公告)日:2022-07-14

    申请号:US17710770

    申请日:2022-03-31

    Abstract: For example, an apparatus may include an input to receive Machine Learning (ML) model information corresponding to an ML model to process input information; and a processor to construct a multi-model ML architecture including a plurality of ML model variants based on the ML model, wherein the processor is configured to determine the plurality of ML model variants based on an attribution-based diversity metric corresponding to a model group including a first ML model variant and a second ML model variant, wherein the attribution-based diversity metric corresponding to the model group is based on a diversity between a first attribution scheme and a second attribution scheme, the first attribution scheme representing first portions of the input information attributing to an output of the first ML model variant, the second attribution scheme representing second portions of the input information attributing to an output of the second ML model variant.

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