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10/12/2022
What Makes Graph Neural Networks Miscalibrated?
Given the importance of getting calibrated predictions and reliable unce...
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05/30/2022
CHALLENGER: Training with Attribution Maps
We show that utilizing attribution maps for training neural networks can...
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02/24/2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
We address the problem of uncertainty calibration and introduce a novel ...
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12/20/2020
Post-hoc Uncertainty Calibration for Domain Drift Scenarios
We address the problem of uncertainty calibration. While standard deep n...
research
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12/20/2020
