| Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) | May 2, 2022 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 |
| Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors | Mar 6, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks | Mar 2, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 |
| Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning | Feb 23, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography | Feb 22, 2022 | Computed Tomography (CT)Decision Making | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging | Feb 10, 2022 | Conformal PredictionImage-to-Image Regression | CodeCode Available | 1 |
| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | Feb 7, 2022 | text-classificationText Classification | CodeCode Available | 1 |
| UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs | Jan 31, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution | Jan 20, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
| Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization | Dec 15, 2021 | scoring ruleUncertainty Quantification | CodeCode Available | 1 |
| Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant Parts | Dec 8, 2021 | 3D Shape ModelingBenchmarking | CodeCode Available | 1 |
| Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting | Dec 5, 2021 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Edge Tracing using Gaussian Process Regression | Nov 5, 2021 | regressionUncertainty Quantification | CodeCode Available | 1 |
| OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion | Nov 4, 2021 | 2kBenchmarking | CodeCode Available | 1 |
| Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification | Oct 26, 2021 | ClassificationNode Classification | CodeCode Available | 1 |
| PI3NN: Out-of-distribution-aware prediction intervals from three neural networks | Aug 5, 2021 | Prediction IntervalsUncertainty Quantification | CodeCode Available | 1 |
| Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows | Aug 4, 2021 | Decision MakingImage Segmentation | CodeCode Available | 1 |
| Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models | Jul 21, 2021 | Dimensionality ReductionUncertainty 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 |
| Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks | Jul 15, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| Laplace Redux -- Effortless Bayesian Deep Learning | Jun 28, 2021 | Deep LearningMisconceptions | CodeCode Available | 1 |
| Medical Matting: A New Perspective on Medical Segmentation with Uncertainty | Jun 18, 2021 | Image MattingImage Segmentation | CodeCode Available | 1 |
| Author Clustering and Topic Estimation for Short Texts | Jun 15, 2021 | ClusteringUncertainty Quantification | CodeCode Available | 1 |
| When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting | Jun 7, 2021 | Time SeriesTime Series Analysis | 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 |
| Evidential Turing Processes | Jun 2, 2021 | Image ClassificationUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI | Jun 2, 2021 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals | Jun 1, 2021 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Locally Valid and Discriminative Prediction Intervals for Deep Learning Models | Jun 1, 2021 | Conformal PredictionDeep Learning | CodeCode Available | 1 |
| Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification | May 28, 2021 | EpidemiologyTime Series | CodeCode Available | 1 |
| Quantifying Uncertainty in Deep Spatiotemporal Forecasting | May 25, 2021 | Decision Makingquantile regression | CodeCode Available | 1 |
| Deep learning with self-supervision and uncertainty regularization to count fish in underwater images | Apr 30, 2021 | Crowd CountingDecision Making | CodeCode Available | 1 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Learning by example: fast reliability-aware seismic imaging with normalizing flows | Apr 13, 2021 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| 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 |
| HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images | Mar 30, 2021 | Knowledge DistillationSegmentation | CodeCode Available | 1 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 |
| Deep Deterministic Uncertainty: A Simple Baseline | Feb 23, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
| Trumpets: Injective Flows for Inference and Inverse Problems | Feb 20, 2021 | Bayesian InferenceImage Reconstruction | CodeCode Available | 1 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 |
| Healing Products of Gaussian Processes | Feb 14, 2021 | Gaussian ProcessesGeneral Classification | CodeCode Available | 1 |
| Private Prediction Sets | Feb 11, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
