STORING LEARNED EMBEDDINGS OF SEQUENCE STATES

    公开(公告)号:US20250156733A1

    公开(公告)日:2025-05-15

    申请号:US18388403

    申请日:2023-11-09

    Applicant: STRIPE, INC.

    Inventor: Sai Kiran Burle

    Abstract: A method for computing a prediction using a machine learning model includes: receiving a current data sample of a sequence of data samples; retrieving, from a data store, a state value representing a learned embedding of previous samples of the sequence of data samples; computing, by a recurrent neural network, based on the current data sample and the state value: an output value representing an inference regarding the current data sample; and an updated state value representing a learned embedding of the current data sample and the previous samples of the sequence of data samples; storing the updated state value in the data store; and outputting the output value regarding the current data sample.

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