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Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Predicting not only the target but also an accurate measure of uncertainty is important for many machine learning applications and in particular safety-critical ones.
Closing the gap towards end-to-end autonomous vehicle system
A key element in our proposed architecture is formulation of the learning problem as learning of trajectory.
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