| A Simple Baseline for Bayesian Uncertainty in Deep Learning | Feb 7, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics | Jun 6, 2021 | Uncertainty Quantification | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 |
| Post-hoc Uncertainty Learning using a Dirichlet Meta-Model | Dec 14, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks | Jul 11, 2023 | Computational EfficiencyMolecular Property Prediction | CodeCode Available | 1 |
| Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems | May 17, 2023 | ColorizationComputational Efficiency | CodeCode Available | 1 |
| Private Prediction Sets | Feb 11, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs | May 13, 2025 | HallucinationUncertainty Quantification | CodeCode Available | 1 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
