most citedLinking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

Jarrod Haas, William Yolland, Bernhard Rabus

We demonstrate that L2 normalization over feature space can produce capable performance for Out-of-Distribution (OoD) detection for some models and datasets. Although it does not d…

cs.LG2022★ 2 cited

Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks

Jarrod Haas, William Yolland, Bernhard Rabus

We propose a simple modification to standard ResNet architectures--L2 normalization over feature space--that substantially improves out-of-distribution (OoD) performance on the pre…