公开(公告)号：US20240160930A1

公开(公告)日：2024-05-16

申请号：US18509790

申请日：2023-11-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jiwon YANG

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/04

Abstract: Provided are a multitask learning apparatus and method for improving learning performance of heterogeneous small datasets. The multitask learning apparatus includes a first layer configured to generate feature vectors by projecting training data pairs generated from different tasks to one feature space, a second layer configured to extract a common feature from the projected feature vectors, and a third layer configured to draw each individual inference from the extracted common feature. Here, the first layer and the third layer are task-specific layers, and the second layer is a layer shared between tasks. The first layer, the second layer, and the third layer perform forward propagation in one artificial neural network.