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Found 3 papers, 1 papers with code
Revisiting Softmax for Uncertainty Approximation in Text Classification
A cheaper alternative is to simply use the softmax based on a single forward pass without dropout to estimate model uncertainty.
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Citation count prediction is the task of predicting the number of citations a paper has gained after a period of time.
Learning from graphs with structural variation
We study the effect of structural variation in graph data on the predictive performance of graph kernels.
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