conftrace_

learning to defer

17 papers

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Co-occurring keywords

surrogate loss (94) human expert (8) human-ai collaboration (117) selective prediction (43) uncertainty quantification (1393) surrogate loss function (11) hypothesis set (4) fair machine learning (46) conformal inference (19) consistent estimator (14)

Papers

Towards Robust Human–AI Decision-Making via Learning-to-Defer AAAI 2026
Coverage-Constrained Human-AI Cooperation with Multiple Experts AAAI 2026
A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026
Things Machine Learning Models Know That They Don’t Know AAAI 2025
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NIPS 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024
Learning to Defer to a Population: A Meta-Learning Approach AISTATS 2024
Who Should Predict? Exact Algorithms For Learning to Defer to Humans AISTATS 2023
Learning to Defer with Limited Expert Predictions AAAI 2023
Two-Stage Learning to Defer with Multiple Experts NIPS 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer NIPS 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023
Calibrated Learning to Defer with One-vs-All Classifiers ICML 2022
Role of Human-AI Interaction in Selective Prediction AAAI 2022
Post-hoc estimators for learning to defer to an expert NIPS 2022
Consistent Estimators for Learning to Defer to an Expert ICML 2020
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer NIPS 2018