Title:
LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/100854
Kind Code:
A1
Abstract:
This learning device trains an AI model using a dataset in which each piece of data is given a mnemonic code corresponding to a label of that piece of data. Thereafter, the learning device uses the mnemonic code for each label to calculate the diagonal component of the F matrix (pseudo Fisher information matrix) with respect to each label learned by the AI model. Next, the learning device determines noise to impose on a parameter of the AI model on the basis of the value of the diagonal component of the pseudo F matrix with respect to a label to be forgotten and the value of the diagonal component of the F matrix with respect to a label not to be forgotten. The learning device then updates the parameter by imposing the determined noise on the parameter of the AI model.
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Inventors:
YAMASHITA TOMOYA (JP)
Application Number:
PCT/JP2022/041959
Publication Date:
May 16, 2024
Filing Date:
November 10, 2022
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G06N20/00
Foreign References:
JP2022057202A | 2022-04-11 | |||
US20220300837A1 | 2022-09-22 | |||
US20220300822A1 | 2022-09-22 |
Other References:
YAMASHITA, TOMOYA. YAMADA, MASANORI: "AI knowledge forgetting based on the importance of model parameters", IEICE TECHNICAL REPORT, IBISML, IEICE, JP, vol. 122, no. 90 (IBISML2022-3), 1 June 2022 (2022-06-01), JP, pages 14 - 19, XP009552369
ADITYA GOLATKAR; ALESSANDRO ACHILLE; STEFANO SOATTO: "Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks", ARXIV.ORG, 12 November 2019 (2019-11-12), pages 1 - 14, XP081633384
ADITYA GOLATKAR; ALESSANDRO ACHILLE; STEFANO SOATTO: "Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks", ARXIV.ORG, 12 November 2019 (2019-11-12), pages 1 - 14, XP081633384
Attorney, Agent or Firm:
SAKAI INTERNATIONAL PATENT OFFICE (JP)
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