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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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Post-hoc Uncertainty Calibration for Domain Drift Scenarios
We address the problem of uncertainty calibration. While standard deep n...
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Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
To facilitate a wide-spread acceptance of AI systems guiding decision ma...
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Christian Tomani
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