98 citations · 379 across the 33 of their papers we have counts for
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cs.LG2021★ 4 cited
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles, Sven Gowal, Florian Stimberg +4
Robustness to distribution shifts is critical for deploying machine learning models in the real world. Despite this necessity, there has been little work in defining the underlying…
cs.LG2021★ 11 cited
Learning Optimal Conformal Classifiers
David Stutz, Krishnamurthy, Dvijotham +2
Modern deep learning based classifiers show very high accuracy on test data but this does not provide sufficient guarantees for safe deployment, especially in high-stake AI applica…