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Calibration: Why Neural Networks Are Confident and Wrong - and How to Fix Them
A classifier that says it is 90% sure should be right about 90% of the time. That sounds like a low bar, and yet most modern neural networks fail it badly. They are routinely 99% confident and wrong,...