MIT: Forcing ML Models to Avoid Shortcuts (and Use More Data) for Better Predictions

CAMBRIDGE, Mass. - If your Uber driver takes a shortcut, you might get to your destination faster. But if a machine learning model takes a shortcut, it might fail in unexpected ways. In machine learning, a shortcut solution occurs when the model relies on a simple characteristic of a dataset to make a decision, rather [...]

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