Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Optimizing Resources for On-the-Fly Label Estimation with Multiple Unknown Medical Experts
Tim Bary, Tiffanie Godelaine, Axel Abels +1
Accurate ground truth estimation in medical screening programs often relies on coalitions of experts and peer second opinions. Algorithms that efficiently aggregate noisy annotatio…
cs.LG2025
No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction
Tim Bary, Benoît Macq, Louis Petit
AI systems often struggle to provide reliable predictions across all inputs, motivating hybrid human-AI decision-making. Existing Learning to Defer (L2D) approaches address this by…