Device and method for training an augmented discriminator

US12050990B2 · kind B2 · utility

Assignee

• Robert Bosch GmbH · DE

Inventors

• Dan Zhang · San Diego, US
• Anna Khoreva · Stuttgart, DE

Key dates

• Filing date: Aug 13, 2019
• Grant date: Jul 30, 2024
• Expiry date: Dec 19, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/094
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A computer-implemented method for training an augmented discriminator and a generator. The method includes: providing a training set comprising real training samples and artificial training samples for training of the augmented discriminator, wherein the artificial training samples are generated by the generator; assigning a data sequence to at least one data sample of the training set; wherein each pair of data sample and assigned data sequence is assigned to one of a plurality of classes such that, given the assigned one class and the assigned data sequence characterize whether the data sample is a real training sample or an artificial training sample; training the augmented discriminator to compute from pairs of data sample and assigned data sequence the respective class to which the corresponding pair is assigned; training the generator to generate artificial training samples such that the augmented discriminator is not able to correctly compute the aforementioned one class.