Invention Grant
- Patent Title: Out-of-domain encoder training
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Application No.: US16530457Application Date: 2019-08-02
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Publication No.: US11645514B2Publication Date: 2023-05-09
- Inventor: Ming Tan , Dakuo Wang , Mo Yu , Haoyu Wang , Yang Yu , Shiyu Chang , Saloni Potdar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Aaron Pontikos
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F17/16 ; G06N20/00

Abstract:
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.
Public/Granted literature
- US20210034965A1 OUT-OF-DOMAIN ENCODER TRAINING Public/Granted day:2021-02-04
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