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US Patent 10671889 Committed information rate variational autoencoders

Patent 10671889 was granted and assigned to Deepmind Technologies Limited on June, 2020 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Current Assignee
Deepmind Technologies Limited
Deepmind Technologies Limited
Date Filed
September 27, 2019
Date of Patent
June 2, 2020
Patent Applicant
Deepmind Technologies Limited
Deepmind Technologies Limited
Patent Application Number
16586014
Patent Citations
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US Patent 10268671 Generating parse trees of text segments using neural networks
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US Patent 10304477 Generating audio using neural networks
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US Patent 10402719 Generating output sequences from input sequences using neural networks
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US Patent 10409908 Generating parse trees of text segments using neural networks
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US Patent 10504023 Training recurrent neural networks to generate sequences
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US Patent 10417557 Generating natural language descriptions of images
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US Patent 10540962 Speech recognition with attention-based recurrent neural networks
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US Patent 10043512 Generating target sequences from input sequences using partial conditioning
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US Patent 10133739 Neural machine translation systems with rare word processing
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US Patent 10181098 Generating representations of input sequences using neural networks
•••
Patent Citations Received
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US Patent 12027151 Unsupervised learning of disentangled speech content and style representation
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US Patent 11636283 Committed information rate variational autoencoders
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US Patent 11887002 Method of generating data by using artificial neural network model having encoder-decoder structure
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US Patent 11481626 Generating attribute-based samples
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10671889
Patent Primary Examiner
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Michael B. Holmes

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