- 专利标题: OUT-OF-DOMAIN ENCODER TRAINING
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申请号: US16530457申请日: 2019-08-02
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公开(公告)号: US20210034965A1公开(公告)日: 2021-02-04
- 发明人: Ming Tan , Dakuo Wang , Mo Yu , Haoyu Wang , Yang Yu , Shiyu Chang , Saloni Potdar
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N20/00 ; G06F17/16
摘要:
A computer-implemented method includes using an embedding network to generate prototypical vectors. Each prototypical vector is based on a corresponding label associated with a first domain. The computer-implemented method also includes using the embedding network to generate an in-domain test vector based on at least one data sample from a particular label associated with the first domain and using the embedding network to generate an out-of-domain test vector based on at least one other data sample associated with a different domain. The computer-implemented method also includes comparing the prototypical vectors to the in-domain test vector to generate in-domain comparison values and comparing the prototypical vectors to the out-of-domain test vector to generate out-of-domain comparison values. The computer-implemented method also includes modifying, based on the in-domain comparison values and the out-of-domain comparison values, one or more parameters of the embedding network.
公开/授权文献
- US11645514B2 Out-of-domain encoder training 公开/授权日:2023-05-09
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