| Multidimensional Uncertainty-Aware Evidential Neural Networks | Dec 26, 2020 | Generative Adversarial NetworkMulti-class Classification | CodeCode Available | 1 |
| Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder | Dec 24, 2020 | Image GenerationOut-of-Distribution Detection | CodeCode Available | 1 |
| Masksembles for Uncertainty Estimation | Dec 15, 2020 | Classifier calibrationEnsemble Learning | CodeCode Available | 1 |
| Disentangled Information Bottleneck | Dec 14, 2020 | Adversarial AttackOut-of-Distribution Detection | CodeCode Available | 1 |
| Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation | Dec 9, 2020 | General ClassificationOut-of-Distribution Detection | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Feature Space Singularity for Out-of-Distribution Detection | Nov 30, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Multiscale Score Matching for Out-of-Distribution Detection | Oct 25, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| RobustBench: a standardized adversarial robustness benchmark | Oct 19, 2020 | Adversarial RobustnessBenchmarking | CodeCode Available | 1 |
| Energy-based Out-of-distribution Detection | Oct 8, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models | Oct 1, 2020 | Image GenerationOut-of-Distribution Detection | CodeCode Available | 1 |
| Estimating Example Difficulty Using Variance of Gradients | Aug 26, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Improving predictions of Bayesian neural nets via local linearization | Aug 19, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| FOOD: Fast Out-Of-Distribution Detector | Aug 16, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Hybrid Discriminative-Generative Training via Contrastive Learning | Jul 17, 2020 | Contrastive LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | Jul 16, 2020 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| A Benchmark of Medical Out of Distribution Detection | Jul 8, 2020 | DiagnosticMedical Diagnosis | CodeCode Available | 1 |
| Confidence-Aware Learning for Deep Neural Networks | Jul 3, 2020 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| Sliced Iterative Normalizing Flows | Jul 1, 2020 | Density EstimationImage Generation | CodeCode Available | 1 |
| ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining | Jun 26, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Weakly-supervised Temporal Action Localization by Uncertainty Modeling | Jun 12, 2020 | Action ClassificationAction Localization | CodeCode Available | 1 |
| Probabilistic Autoencoder | Jun 9, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
| Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples | Jun 7, 2020 | General ClassificationMetric Learning | CodeCode Available | 1 |
| Flows for simultaneous manifold learning and density estimation | Mar 31, 2020 | DenoisingDensity Estimation | CodeCode Available | 1 |
| GAN-based Priors for Quantifying Uncertainty | Mar 27, 2020 | Bayesian InferenceDenoising | CodeCode Available | 1 |
