SYSTEMS AND METHODS FOR NEAREST-NEIGHBOR PREDICTION BASED MACHINE LEARNED MODELS

    公开(公告)号:US20220245917A1

    公开(公告)日:2022-08-04

    申请号:US17559633

    申请日:2021-12-22

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure can include a computer-implemented method. The method can include obtaining a machine-learned model comprising one or more layers. At least a first layer of the one or more layers can be configured to receive a set of query vectors respectively associated with layer inputs, determine similarity measures the key vectors and the query vectors, apply a normalization operation to the plurality of respective similarity measures, and determine an output based on the normalized respective similarity measures and a plurality of class labels respectively associated with the plurality of key vectors.

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