| 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 |
| Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks | Jan 27, 2021 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
