Invention Grant
- Patent Title: Robust neural network learning system
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Application No.: US17709553Application Date: 2022-03-31
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Publication No.: US12243295B2Publication Date: 2025-03-04
- Inventor: Wei Tong , Jacob Alan Bond , Siddhartha Gupta
- Applicant: GM Global Technology Operations LLC
- Applicant Address: US MI Detroit
- Assignee: GM Global Technology Operations LLC
- Current Assignee: GM Global Technology Operations LLC
- Current Assignee Address: US MI Detroit
- Agency: Vivacqua Crane, PLLC
- Main IPC: G06V10/774
- IPC: G06V10/774 ; G06N3/08 ; G06V10/82

Abstract:
A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive intermediate concept constraints at a neural network and train the neural network with training data, training labels, and the at least one of the data constraint, the feature constraint, or the intermediate concept constraint.
Public/Granted literature
- US20230316728A1 ROBUST NEURAL NETWORK LEARNING SYSTEM Public/Granted day:2023-10-05
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