MM++: Unsupervised Scale-Invariant Multilayer OOD Detection via Top-K Gated Feature Fusion

In three linesMM++ is an unsupervised, post-hoc method for out-of-distribution detection. It fuses intermediate layers selected by entropy density with the final representation using Ledoit-Wolf regularized covariance, requiring no auxiliary OOD data, fine-tuning, or architectural changes.

Summary generated by Claude — human-verified