Given the importance of getting calibrated predictions and reliable
unce...
We show that utilizing attribution maps for training neural networks can...
We address the problem of uncertainty calibration and introduce a novel
...
We address the problem of uncertainty calibration. While standard deep n...
To facilitate a wide-spread acceptance of AI systems guiding decision ma...