Learning to Defer with Guidance on Real World Medical Data

arXiv:2609.26384 · cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: Accepted at HAIC workshop, MICCAI 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Loss Function — 13× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Embeddings — 8× in this paper · explained in 2 episodes
• Deferral — 3× in this paper · explained in 2 episodes
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes

Sources

• XGBoost: A Scalable Tree Boosting System
• Deep Residual Learning for Image Recognition
• CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

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