Title:
DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2021/070559
Kind Code:
A1
Abstract:
One embodiment of the present invention is a data processing device that executes a process for executing a first task of using input data to estimate corresponding output data, said data processing device being provided with a model learning unit, a model execution unit, and a distribution calculation unit. The model learning unit uses data of a plurality of related tasks related to a first task to carry out learning with respect to a model that outputs a parameter pertaining to a distribution of a hidden variable representing a feature specific to each task. The model execution unit uses the model to acquire, from learning data for the first task, the parameter pertaining to the distribution of a first hidden variable of the first task. The distribution calculation unit calculates an average and a dispersion for the distribution of the first hidden variable on the basis of the parameter pertaining to the distribution of the first hidden variable.
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Inventors:
MAEDA SHINICHI (JP)
Application Number:
PCT/JP2020/034452
Publication Date:
April 15, 2021
Filing Date:
September 11, 2020
Export Citation:
Assignee:
PREFERRED NETWORKS INC (JP)
International Classes:
G06N20/00
Other References:
TANIGUCHI, SHOHEI ET AL: "A Meta-Learning Perspective on Generative QueryNetwork", PROCEEDINGS OF THE ANNUAL CONFERENCE OF JSAI, June 2019 (2019-06-01), pages 1 - 4
ESLAMI, S. M. ALI: "Neural scene representation and rendering", SCIENCE, vol. 360, 15 June 2018 (2018-06-15), pages 1204 - 1210, XP055719522, Retrieved from the Internet [retrieved on 20201130], DOI: 10.1126/science.aar6170
ESLAMI, S. M. ALI: "Neural scene representation and rendering", SCIENCE, vol. 360, 15 June 2018 (2018-06-15), pages 1204 - 1210, XP055719522, Retrieved from the Internet
Attorney, Agent or Firm:
NAKAMURA Yukitaka et al. (JP)
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