公开(公告)号：US20220004928A1

公开(公告)日：2022-01-06

申请号：US17476770

申请日：2021-09-16

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Chenhui LIU ,  Huiqiang ZHONG ,  Qiang HUANG ,  Siqi XU ,  Houqian ZHOU

IPC: G06N20/00 ,  G06K9/62

Abstract: A method for incrementally training a model is provided. The method includes: obtaining a first soft tag of each raw sample in a raw sample set based on a basic target model trained using the raw sample set; selecting a plurality of raw samples from the raw sample set as first samples based on the first soft tag of each raw sample; obtaining second samples and a second soft tag of each second sample; determining the first samples, the respective first soft tags, the second samples and the respective second soft tags as training samples; and generating a final target model by inputting the training samples into the basic target model for model training.