Invention Grant
- Patent Title: Generating and augmenting transfer learning datasets with pseudo-labeled images
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Application No.: US16125153Application Date: 2018-09-07
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Publication No.: US11151410B2Publication Date: 2021-10-19
- Inventor: Patrick Watson , Bishwaranjan Bhattacharjee , Siyu Huo , Noel C. Codella , Brian M. Belgodere , Parijat Dube , Michael R. Glass , John R. Kender , Matthew L. Hill
- 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: Cantor Colburn LLP
- Agent Anthony Curro
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F16/51

Abstract:
A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.
Public/Granted literature
- US20200082210A1 GENERATING AND AUGMENTING TRANSFER LEARNING DATASETS WITH PSEUDO-LABELED IMAGES Public/Granted day:2020-03-12
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