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US Patent 10185914 System and method for teaching compositionality to convolutional neural networks

Patent 10185914 was granted and assigned to Vicarious on January, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Vicarious
Vicarious
Current Assignee
Vicarious
Vicarious
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10185914
Date of Patent
January 22, 2019
Patent Application Number
15803595
Date Filed
November 3, 2017
Patent Citations Received
‌
US Patent 12067080 Method and system for generating training data
0
Patent Primary Examiner
‌
Alan Chen
Patent abstract

A system for teaching compositionality to convolutional neural networks includes an unmasked convolutional neural network comprising a first set of convolutional neural network layers; a first masked convolutional neural network comprising a second set of convolutional neural network layers; the unmasked convolutional neural network and the first masked convolutional network sharing convolutional neural network weights; the system training the unmasked and first masked convolutional neural networks simultaneously based on an objective function that seeks to reduce both discriminative loss and compositional loss.

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