10 citations · 17 across the 7 of their papers we have counts for
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cs.LG2022★ 10 cited
What Makes Graph Neural Networks Miscalibrated?
Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani +1
Given the importance of getting calibrated predictions and reliable uncertainty estimations, various post-hoc calibration methods have been developed for neural networks on standar…
cs.LG2022★ 1 cited
CHALLENGER: Training with Attribution Maps
Christian Tomani, Daniel Cremers
We show that utilizing attribution maps for training neural networks can improve regularization of models and thus increase performance. Regularization is key in deep learning, esp…