The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 06, 2026

Filed:

Feb. 25, 2022
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Yixing Xu, Beijing, CN;

Hanting Chen, Beijing, CN;

Kai Han, Beijing, CN;

Yunhe Wang, Beijing, CN;

Chunjing Xu, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/253 (2023.01);
Abstract

A neural network model compression method in the field of artificial intelligence. The method includes: obtaining, by a server, a first neural network model and training data of the first neural network that are uploaded by user equipment; obtaining a positive-unlabeled (PU) classifier based on the training data of the first neural network and unlabeled data stored in the server; selecting, by using the PU classifier, extended data from the unlabeled data stored in the server, where the extended data has a property and distribution similar to a property and distribution of the training data of the first neural network model; and training a second neural network model by using a knowledge distillation (KD) method based on the extended data, where the first neural network model is used as a teacher network model and the second neural network model is used as a student network model.


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