28 citations · 52 across the 11 of their papers we have counts for
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cs.LG2021★ 3 cited
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas, Meir Feder, Tal Hassner
Detecting out-of-distribution (OOD) samples is vital for developing machine learning based models for critical safety systems. Common approaches for OOD detection assume access to…
cs.LG2021
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression
Koby Bibas, Meir Feder
A fundamental principle of learning theory is that there is a trade-off between the complexity of a prediction rule and its ability to generalize. Modern machine learning models do…