| Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection | Jun 26, 2022 | BIG-bench Machine LearningOut-of-Distribution Detection | —Unverified | 0 |
| Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings | Oct 30, 2024 | Question AnsweringUncertainty Quantification | —Unverified | 0 |
| JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows | May 29, 2025 | Conformal PredictionNormalising Flows | —Unverified | 0 |
| Kernel-based Optimally Weighted Conformal Prediction Intervals | May 27, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games | Feb 13, 2025 | Multi-agent Reinforcement LearningUncertainty Quantification | —Unverified | 0 |
| Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra | Jun 1, 2021 | Autonomous VehiclesDecision Making | —Unverified | 0 |
| Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework | Jun 16, 2024 | Explainable artificial intelligencePrediction | —Unverified | 0 |
| Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures | Oct 13, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Is MC Dropout Bayesian? | Oct 8, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
