GENERATING SYNTHETIC TRAINING DATA FOR PERCEPTION MACHINE LEARNING MODELS USING DATA GENERATORS

GENERATING SYNTHETIC TRAINING DATA FOR PERCEPTION MACHINE LEARNING MODELS USING DATA GENERATORS

A method is provided. The method includes generating a set of candidate training data based on a training data generator. The method also includes training a first machine learning model based on the set of candidate training data. The first machine learning model generates a set of inferences durin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Vahedforough, Elnaz, Langenberg, Jens, Tetelman, Mikhail
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method is provided. The method includes generating a set of candidate training data based on a training data generator. The method also includes training a first machine learning model based on the set of candidate training data. The first machine learning model generates a set of inferences during the training based on the set of candidate training data. The method further includes determining a set of importance factors based on the set of inferences and a second machine learning model. The method further includes updating the training data generator based on one or more distributions of properties determined based on the set of importance factors.