Implicit bridging of machine learning tasks

US10713593B2 · kind B2 · utility

Assignee

• Google LLC · US

Inventors

• Zhifeng Chen · Sunnyvale, US
• Michael Schuster · Saratoga, US
• Melvin Jose Johnson Premkumar · Sunnyvale, US
• Yonghui Wu · Fremont, US
• Quoc V. Le · Stanford, US
• Maxim Krikun · Castro Valley, US
• Thorsten Brants · Palo Alto, US

Key dates

• Filing date: Dec 29, 2016
• Grant date: Jul 14, 2020
• Expiry date: Aug 28, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/09
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input.