| Learning Normal Flow Directly From Event Neighborhoods | Dec 15, 2024 | Data AugmentationOptical Flow Estimation | CodeCode Available | 1 | 5 |
| Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies | Mar 11, 2025 | Conformal PredictionImitation Learning | CodeCode Available | 1 | 5 |
| LiBRe: A Practical Bayesian Approach to Adversarial Detection | Mar 27, 2021 | Adversarial DefenseUncertainty Quantification | CodeCode Available | 1 | 5 |
| Linked Deep Gaussian Process Emulation for Model Networks | Jun 2, 2023 | modelUncertainty Quantification | CodeCode Available | 1 | 5 |
| Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference | Feb 8, 2024 | Domain AdaptationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network | Feb 7, 2022 | text-classificationText Classification | CodeCode Available | 1 | 5 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 | 5 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 | 5 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 | 5 |
| Active Subspace of Neural Networks: Structural Analysis and Universal Attacks | Oct 29, 2019 | Adversarial AttackUncertainty Quantification | CodeCode Available | 0 | 5 |
