Amazon Technologies, Inc.

Nathalie Rauschmayr

Krishnaram Kenthapadi

Dylan Slack

Automatic failure diagnosis and correction may be performed on trained machine learning models. Input data that causes a trained machine learning model may be identified in order to determine different model failures. The model failures may be clustered in order to determine failure scenarios for the trained machine learning model. Examples of the failure scenarios may be generated and truth labels for the example scenarios obtained. The examples and truth labels may then be used to retrain the machine learning model to generate a corrected version of the machine learning model.

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Vancouver, Canada

Nathalie Rauschmayr