公开(公告)号：US20230177344A1

公开(公告)日：2023-06-08

申请号：US17436927

申请日：2021-05-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ivana BALAZEVIC ,  Carl ALLEN ,  Timothy HOSPEDALES

IPC: G06N3/088 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06N3/088 ,  G06V10/7753 ,  G06V10/82

Abstract: Provided is a computer-implemented method for training a machine learning (ML) model using labelled and unlabelled data, the method comprising obtaining a set or training data comprising a set of labelled data items and a set of unlabelled data items, training a loss module of the ML model using labels in the set of labelled data items, to generate a trained loss module capable of estimating a likelihood of a label for a data item, and training a task module of the ML model using the loss module, the set of labelled data items, and the set of unlabelled data items, to generate a trained task module capable of making a prediction of a label for input data.