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:
Jan. 16, 2024

Filed:

Dec. 08, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Takayuki Katsuki, Tokyo, JP;

Takayuki Osogami, Yamato, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01);
Abstract

A method, a computer program product, and a system of adversarial semi-supervised one-shot training using a data stream. The method includes receiving a data stream based on an observation, wherein the data stream includes unlabeled data and labeled data. The method also includes training a prediction model with the labeled data using stochastic gradient descent based on a classification loss and an adversarial term and training a representation model with the labeled data and the unlabeled data based on a reconstruction loss and the adversarial term. The adversarial term is a cross-entropy between the middle layer output data from the models. The classification loss is a cross-entropy between the labeled data and an output from the prediction model. The method further includes updating a discriminator with middle layer output data from the prediction model and the representation model and based on a discrimination loss, and discarding the data stream.


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