| Improving Adaptive Conformal Prediction Using Self-Supervised Learning | Feb 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Learning Physical Models that Can Respect Conservation Laws | Feb 21, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 |
| Probabilistic Circuits That Know What They Don't Know | Feb 13, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | CodeCode Available | 1 |
| Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks | Feb 6, 2023 | Crowd CountingUncertainty Quantification | CodeCode Available | 1 |
| Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification | Jan 18, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Post-hoc Uncertainty Learning using a Dirichlet Meta-Model | Dec 14, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation | Dec 13, 2022 | PredictionPrediction Intervals | CodeCode Available | 1 |
