The paper shows that free energy OOD detection fails when feature differences lie in the last layer's null space, and mitigates this with dimension reduction and least singular value regularization.
V os: Learning what you don’t know by virtual outlier synthesis
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FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
The paper shows that free energy OOD detection fails when feature differences lie in the last layer's null space, and mitigates this with dimension reduction and least singular value regularization.