| Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs | Nov 24, 2020 | Out-of-Distribution Detectionreinforcement-learning | —Unverified | 0 |
| Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry | Nov 19, 2020 | Deep LearningGenerative Adversarial Network | —Unverified | 0 |
| Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification | Nov 18, 2020 | regressionUncertainty Quantification | CodeCode Available | 2 |
| Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling | Nov 17, 2020 | DecoderUncertainty Quantification | —Unverified | 0 |
| Denoising Score-Matching for Uncertainty Quantification in Inverse Problems | Nov 16, 2020 | DenoisingMRI Reconstruction | CodeCode Available | 0 |
| Fast Uncertainty Quantification for Deep Object Pose Estimation | Nov 16, 2020 | ObjectPose Estimation | —Unverified | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking | Nov 13, 2020 | Multi-Object TrackingObject Tracking | —Unverified | 0 |
| A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges | Nov 12, 2020 | Decision MakingEnsemble Learning | —Unverified | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 |
