Joel Runevic — accepted AI-conference papers

2026

Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning

Daniel Shao, Joel Runevic, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Andrew H. Song +1

ICLR 2026poster

Multiple Instance Learning (MIL) is the predominant approach for classifying gigapixel whole-slide images in computational pathology. MIL follows a sequence of 1) extracting patch features, 2) applying a linear layer to obtain task-specific patch features, and 3) aggregating the patches into a slide…

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2025

Do Multiple Instance Learning Models Transfer?

Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding +1

ICML 2025spotlight

Multiple Instance Learning (MIL) is a cornerstone approach in computational pathology for distilling embeddings from gigapixel tissue images into patient-level representations to predict clinical outcomes. However, MIL is frequently challenged by the constraints of working with small, weakly-supervi…

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