Invention Grant
- Patent Title: Systems and methods for learning new trained concepts used to retrieve content relevant to the concepts learned
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Application No.: US16387244Application Date: 2019-04-17
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Publication No.: US11182671B1Publication Date: 2021-11-23
- Inventor: Matthew D. Zeiler
- Applicant: Clarifai, Inc.
- Applicant Address: US NY New York
- Assignee: Clarifai, Inc.
- Current Assignee: Clarifai, Inc.
- Current Assignee Address: US NY New York
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F16/2457 ; G06F16/28

Abstract:
A system configured for learning new trained concepts used to retrieve content relevant to the concepts learned. The system may comprise one or more hardware processors configured by machine-readable instructions to obtain one or more digital media items. The one or more hardware processors may be further configured to obtain an indication conveying a concept to be learned from the one or more digital media items. The one or more hardware processors may be further configured to receive feedback associated with individual ones of the one or more digital media items. The one or more hardware processors may be configured to obtain individual neural network representations for the individual ones of the one or more digital media items. The one or more hardware processors may be configured to determine a trained concept based on the feedback and the neural network representations of the one or more digital media items.
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