| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 | 5 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels | Sep 6, 2024 | Drug Discoveryregression | CodeCode Available | 1 | 5 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires | Dec 2, 2022 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Evidential Deep Learning to Quantify Classification Uncertainty | Jun 5, 2018 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| Evidential Uncertainty Quantification: A Variance-Based Perspective | Nov 19, 2023 | Active LearningClassification | CodeCode Available | 1 | 5 |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields | Sep 6, 2023 | Depth EstimationNeRF | CodeCode Available | 1 | 5 |
| Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | Jun 23, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images | Apr 7, 2021 | Computed Tomography (CT)Lesion Segmentation | CodeCode Available | 1 | 5 |
| Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules | Nov 28, 2020 | Drug DiscoveryUncertainty Quantification | CodeCode Available | 1 | 5 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation | Dec 13, 2022 | PredictionPrediction Intervals | CodeCode Available | 1 | 5 |
| Edge Tracing using Gaussian Process Regression | Nov 5, 2021 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks | Feb 6, 2023 | Crowd CountingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Enabling Uncertainty Estimation in Iterative Neural Networks | Mar 25, 2024 | Bayesian OptimizationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Evidential Turing Processes | Jun 2, 2021 | Image ClassificationUncertainty Quantification | CodeCode Available | 1 | 5 |
| FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification | Jul 17, 2024 | CPUDomain Adaptation | CodeCode Available | 1 | 5 |
| Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms | Apr 22, 2020 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep learning observables in computational fluid dynamics | Mar 7, 2019 | Deep LearningEfficient Neural Network | CodeCode Available | 1 | 5 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 | 5 |
| Deep Generative Data Assimilation in Multimodal Setting | Apr 10, 2024 | Image GenerationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 | 5 |
| Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification | Feb 2, 2018 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling | Nov 15, 2023 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| A Rate-Distortion View of Uncertainty Quantification | Jun 16, 2024 | Gaussian ProcessesOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep active subspaces - a scalable method for high-dimensional uncertainty propagation | Feb 27, 2019 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification | Nov 11, 2024 | BenchmarkingImage Segmentation | CodeCode Available | 1 | 5 |
| Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations | Dec 2, 2023 | Active LearningGaussian Processes | CodeCode Available | 1 | 5 |
| TabLeak: Tabular Data Leakage in Federated Learning | Oct 4, 2022 | Federated LearningReconstruction Attack | CodeCode Available | 1 | 5 |
| CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought | Feb 24, 2025 | Mathematical ReasoningMisinformation | CodeCode Available | 1 | 5 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| A Simple Baseline for Bayesian Uncertainty in Deep Learning | Feb 7, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Deep Generative Classification of Blood Cell Morphology | Aug 16, 2024 | Anomaly DetectionClassification | CodeCode Available | 1 | 5 |
| A Benchmark on Uncertainty Quantification for Deep Learning Prognostics | Feb 9, 2023 | Active LearningDecision Making | CodeCode Available | 1 | 5 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 | 5 |
| Deep learning with self-supervision and uncertainty regularization to count fish in underwater images | Apr 30, 2021 | Crowd CountingDecision Making | CodeCode Available | 1 | 5 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 | 5 |
| BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning | Feb 17, 2020 | de-enLifelong learning | CodeCode Available | 1 | 5 |
| DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays | Aug 27, 2024 | AnatomyComputed Tomography (CT) | CodeCode Available | 1 | 5 |
| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 | 5 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 | 5 |
| Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks | Jan 27, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 | 5 |
| coverforest: Conformal Predictions with Random Forest in Python | Jan 24, 2025 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
