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Learning to Rank when Grades Matter
In this paper, we conduct a rigorous study of learning to rank with grades, where both ranking performance and grade prediction performance are important.
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength
Dropout has been commonly used to quantify prediction uncertainty, i. e, the variations of model predictions on a given input example.
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