Baselines for Uncertainty and Robustness in Deep Learning

Posted by Zachary Nado, Research Engineer and Dustin Tran, Research Scientist, Google Research, Brain Team Machine learning (ML) is increasingly being used in real-world applications, so understanding the uncertainty and robustness of a model is necessary to ensure performance in practice. For example, how do models behave when deployed on data that differs from the data on which they were trained? How do models signal when they are likely to make a mistake? To get a handle on an ML model's beha...

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