Invention Grant
- Patent Title: Generating labeled data by sequence-to-sequence modeling with added perturbations to encoded information
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Application No.: US15236197Application Date: 2016-08-12
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Publication No.: US10546230B2Publication Date: 2020-01-28
- Inventor: Gakuto Kurata
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Vazken Alexanian
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N3/04

Abstract:
Methods and a system are provided for generating labeled data. A method includes encoding, by a processor-based encoder, a first labeled data into an encoded representation of the first labeled data. The method further includes modifying the encoded representation into a modified representation by adding a perturbation to the encoded representation. The method additionally includes decoding, by a processor-based decoder, the modified representation into a second labeled data.
Public/Granted literature
- US20180046912A1 GENERATING LABELED DATA BY SEQUENCE-TO-SEQUENCE MODELING WITH ADDED PERTURBATIONS TO ENCODED INFORMATION Public/Granted day:2018-02-15
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