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Tian-Yan Zhou

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#artificial intelligence Preprint Sep 2026

When Less Compute Is More: Adaptive Early Exit Improves Pretrained Outlier Detection

This first study of depth-adaptive early-exit for pretrained outlier detection models finds that exiting at the optimal intermediate layer can also improve detection performance on diverse real-world benchmarks by 4.7-7.3% on average, consistent across three distinct foundation models.

Tian-Yan Zhou, L. Akoglu · 0 citations