公开(公告)号：US20240232648A1

公开(公告)日：2024-07-11

申请号：US18537588

申请日：2023-12-12

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyun-Woo KIM ,  Hwa-Jeon SONG ,  Jeong-Min YANG ,  Byung-Hyun YOO ,  Eui-Sok CHUNG ,  Ran HAN

IPC: G06N3/0985 ,  G06N3/0455 ,  G06N3/088

CPC classification number: G06N3/0985 ,  G06N3/0455 ,  G06N3/088

Abstract: Disclosed herein are a multimodal unsupervised meta-learning method and apparatus. The multimodal unsupervised meta-learning method includes training, by a multimodal unsupervised feature representation learning unit, an encoder configured to extract features of individual single-modal signals from a source multimodal dataset, generating, by a multimodal unsupervised task generation unit, a source task based on the features of individual single-modal signals, deriving, by a multimodal unsupervised learning method derivation unit, a learning method from the source task using the encoder, and training, by a target task performance unit, a model based on the learning method and features extracted from a small number of target datasets by the encoder, thus performing the target task.