arXiv Machine Learning June 2, 2026 By Tim Nielen, Sameer Ambekar, Johannes Kiechle, Daniel M. Lang, Julia A. Schnabel

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging

Read the original on arXiv Machine Learning →

arXiv:2606. 02339v1 Announce Type: new Abstract: Entropy minimization (EM) is the dominant objective for test-time adaptation, yet its failure mode, model collapse, remains poorly understood.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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