Invention Grant
- Patent Title: Multi-task multi-modal machine learning system
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Application No.: US16984337Application Date: 2020-08-04
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Publication No.: US11494561B2Publication Date: 2022-11-08
- Inventor: Noam M. Shazeer , Aidan Nicholas Gomez , Lukasz Mieczyslaw Kaiser , Jakob D. Uszkoreit , Llion Owen Jones , Niki J. Parmar , Ashish Teku Vaswani
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F40/284
- IPC: G06F40/284 ; G06K9/62 ; G06N3/04 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media for training a machine learning model to perform multiple machine learning tasks from multiple machine learning domains. One system includes a machine learning model that includes multiple input modality neural networks corresponding to respective different modalities and being configured to map received data inputs of the corresponding modality to mapped data inputs from a unified representation space; an encoder neural network configured to process mapped data inputs from the unified representation space to generate respective encoder data outputs; a decoder neural network configured to process encoder data outputs to generate respective decoder data outputs from the unified representation space; and multiple output modality neural networks corresponding to respective different modalities and being configured to map decoder data outputs to data outputs of the corresponding modality.
Public/Granted literature
- US2213945A Electric power transmission system Public/Granted day:1940-09-10
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