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US Patent 10152970 Adversarial learning and generation of dialogue responses

Patent 10152970 was granted and assigned to Capital One on December, 2018 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Capital One
Capital One
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Current Assignee
Capital One
Capital One
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101529700
Patent Inventor Names
Oluwatobi Olabiyi0
Erik T. Mueller0
Date of Patent
December 11, 2018
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Patent Application Number
158919720
Date Filed
February 8, 2018
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Patent Citations Received
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US Patent 12067981 Adversarial learning and generation of dialogue responses
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US Patent 11341983 System and method for audio noise reduction
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US Patent 11836257 Method and system for defending universal adversarial attacks on time-series data
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US Patent 12026451 Methods and systems for generating alternative content using generative adversarial networks implemented in an application programming interface layer
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US Patent 11481416 Question Answering using trained generative adversarial network based modeling of text
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US Patent 11550991 Methods and systems for generating alternative content using adversarial networks implemented in an application programming interface layer
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US Patent 10776720 Techniques for bimodal learning in a financial context
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Patent Primary Examiner
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Douglas Godbold
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Patent abstract

Systems and methods for generating responses to user input such as dialogs, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.

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