Invention Publication
- Patent Title: SYSTEMS AND METHODS FOR DATA CORRECTION
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Application No.: US18047335Application Date: 2022-10-18
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Publication No.: US20240135165A1Publication Date: 2024-04-25
- Inventor: Varun Manjunatha , Sarthak Jain , Rajiv Bhawanji Jain , Ani Nenkova Nenkova , Christopher Alan Tensmeyer , Franck Dernoncourt , Quan Hung Tran , Ruchi Deshpande
- Applicant: ADOBE INC.
- Applicant Address: US CA SAN JOSE
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA SAN JOSE
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F40/295

Abstract:
One aspect of systems and methods for data correction includes identifying a false label from among predicted labels corresponding to different parts of an input sample, wherein the predicted labels are generated by a neural network trained based on a training set comprising training samples and training labels corresponding to parts of the training samples; computing an influence of each of the training labels on the false label by approximating a change in a conditional loss for the neural network corresponding to each of the training labels; identifying a part of a training sample of the training samples and a corresponding source label from among the training labels based on the computed influence; and modifying the training set based on the identified part of the training sample and the corresponding source label to obtain a corrected training set.
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