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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…