Google Inc.

Anthony Brohan

Anelia Angelova

Zhao Chen

Soeren Pirk

Ariel Gordon

Vincent Michael Casser

Yao Lu

Jan Dlabal

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network using consistency measures. One of the methods includes processing a particular training example from a mediator training data set using a first neural network to generate a first output for a first machine learning task; processing the particular training example in the mediator training data set using each of one or more second neural networks, wherein each second neural network is configured to generate a second output for a respective second machine learning task; determining, for each second machine learning task, a consistency target output for the first machine learning task; determining, for each second machine learning task, an error between the first output and the consistency target output corresponding to the second machine learning task; and generating a parameter update for the first neural network from the determined errors.

Training neural networks using consistency measures

Growing community of inventors

Palo Alto, CA, United States of America

Anthony Brohan