Multi-task based lifelong learning

    公开(公告)号:US11775812B2

    公开(公告)日:2023-10-03

    申请号:US16379704

    申请日:2019-04-09

    CPC classification number: G06N3/08 G06N3/04

    Abstract: Methods, devices, and computer-readable media for multi-task based lifelong learning. A method for lifelong learning includes identifying a new task for a machine learning model to perform. The machine learning model trained to perform an existing task. The method includes adaptively training a network architecture of the machine learning model to generate an adapted machine learning model based on incorporating inherent correlations between the new task and the existing task. The method further includes using the adapted machine learning model to perform both the existing task and the new task.

    Near field communication antenna structure, housing with the same, and electronic terminal

    公开(公告)号:US12088022B2

    公开(公告)日:2024-09-10

    申请号:US17292172

    申请日:2018-11-09

    CPC classification number: H01Q7/00 H04B5/24 H04B5/77

    Abstract: The present application provides a near field communication antenna structure, a housing with the same, and an electronic terminal, the near field communication antenna structure including a first conductive body, a second conductive body, a micro-slit structure, a first feed point and a second feed point, wherein the micro-slit structure is positioned between the first conductive body and the second conductive body to separate the first conductive body from the second conductive body, the first feed point is provided on the first conductive body, and the second feed point is provided on the second conductive body. The use of the above NFC antenna structure saves a separate NFC antenna structure, reduces cost and has a simple structure.

    System and method for fast object detection

    公开(公告)号:US11113507B2

    公开(公告)日:2021-09-07

    申请号:US15986689

    申请日:2018-05-22

    Abstract: One embodiment provides a method comprising identifying a salient part of an object in an input image based on processing of a region of interest (RoI) in the input image at an electronic device. The method further comprises determining an estimated full appearance of the object in the input image based on the salient part and a relationship between the salient part and the object. The electronic device is operated based on the estimated full appearance of the object.

    MULTI-TASK BASED LIFELONG LEARNING
    4.
    发明申请

    公开(公告)号:US20200175362A1

    公开(公告)日:2020-06-04

    申请号:US16379704

    申请日:2019-04-09

    Abstract: Methods, devices, and computer-readable media for multi-task based lifelong learning. A method for lifelong learning includes identifying a new task for a machine learning model to perform. The machine learning model trained to perform an existing task. The method includes adaptively training a network architecture of the machine learning model to generate an adapted machine learning model based on incorporating inherent correlations between the new task and the existing task. The method further includes using the adapted machine learning model to perform both the existing task and the new task.

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