| 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 |
