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Yujin Oh

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Preprint Oct 2026

The Batch Size Can Be One: Test-Time Adaptation from Classifier Geometry

Test-time adaptation updates a deployed model on an unlabeled test stream. In practice this stream often arrives one sample at a time, with the classes in no particular order. A single sample then provides limited information for estimating distribution-level statistics, and selecting samples by confidence can admit pr...

J. Hwang, Yujin Oh, Juhyeon Shin et al. · 0 citations
#machine learning Preprint Sep 2024

Mixture of Multicenter Experts in Multimodal AI for Debiased Radiotherapy Target Delineation

A Mixture of Multicenter Experts (MoME) framework to address AI bias in the medical domain without requiring data sharing across institutions is proposed and validated using a multimodal target volume delineation model for prostate cancer radiotherapy.

Yujin Oh, Sangjoon Park, Xiang Li et al. · 0 citations

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