Invention Publication
- Patent Title: LEARNING APPARATUS, ESTIMATION APPARATUS, LEARNING METHOD, ESTIMATION METHOD AND PROGRAM
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Application No.: US18247493Application Date: 2020-10-21
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Publication No.: US20240005655A1Publication Date: 2024-01-04
- Inventor: Mihiro UCHIDA , Jun SHIMAMURA , Shingo ANDO , Takayuki UMEDA
- Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
- Applicant Address: JP Tokyo
- Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
- Current Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
- Current Assignee Address: JP Tokyo
- International Application: PCT/JP2020/039602 2020.10.21
- Date entered country: 2023-03-31
- Main IPC: G06V10/98
- IPC: G06V10/98 ; G06V10/774 ; G06V10/764 ; G06V10/82

Abstract:
A learning apparatus includes: a data generation unit that learns generation of data based on a class label signal and a noise signal; an unknown degree estimation unit that learns estimation of a degree to which input data is unknown using a training set and the data generated by the data generation unit; a first class likelihood estimation unit that learns estimation of a first likelihood of each class label for input data using the training set; a second class likelihood estimation unit that learns estimation of a second likelihood of each class label for input data using the training set and the data generated by the data generation unit; a class likelihood correction unit that generates a third likelihood by correcting the first likelihood on the basis of the unknown degree and the second likelihood; and a class label estimation unit that estimates a class label of data related to the third likelihood on the basis of the third likelihood, thereby automatically estimating a cause of an error by a deep model.
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