公开(公告)号：US20250077873A1

公开(公告)日：2025-03-06

申请号：US18949212

申请日：2024-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jieming ZHU ,  Liqun DENG ,  Zhou ZHAO ,  Dong YAO ,  Zhenhua DONG

IPC: G06N3/084 ,  G06F18/214

Abstract: Representation learning methods and related devices are provided. An example method includes: obtaining a dataset of to-be-learned data; inputting the dataset into an encoder, and extracting features of the data segments based on a parameter of the encoder to obtain representation vectors corresponding to data segments of various scales; inputting the representation vectors into an interaction module, and performing, based on a parameter of the interaction module, information interaction on representation vectors corresponding to data segments of adjacent scales in the subset, to obtain fused representation vectors corresponding to the data segments of various scales; constructing an objective function based on the fused representation vectors; and optimizing the objective function to adjust the parameter of the encoder and the parameter of the interaction module, so that the encoder and the interaction module learn a high-quality representation vector of the to-be-learned data.