Yasin Ibrahim — accepted AI-conference papers

2026

Identity-Free Deferral For Unseen Experts

Joshua Strong, Pramit Saha, Yasin Ibrahim, Cheng Ouyang, Alison Noble

ICLR 2026poster

Learning to Defer (L2D) improves AI reliability in decision-critical environments, such as healthcare, by training a model to either make its own prediction or delerejector the decision to a human expert. A key challenge is adapting to unseen experts: those who were not involved during the system's…

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2026

You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging

Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang +1

ICLR 2026poster

Interactive segmentation uses real-time user inputs, such as mouse clicks, to iteratively refine model predictions. Although not originally designed to address distribution shifts, this paradigm naturally lends itself to such challenges. In medical imaging, where distribution shifts are common, inte…

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