| Semantically Coherent Out-of-Distribution Detection | Aug 26, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain | Aug 19, 2021 | Adversarial AttackData Augmentation | CodeCode Available | 1 |
| Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation | Aug 3, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers | Jul 23, 2021 | Adversarial RobustnessGeneral Classification | CodeCode Available | 1 |
| Evidential Deep Learning for Open Set Action Recognition | Jul 21, 2021 | Action RecognitionDeep Learning | CodeCode Available | 1 |
| OODformer: Out-Of-Distribution Detection Transformer | Jul 19, 2021 | Contrastive Learningimage-classification | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| On Out-of-distribution Detection with Energy-based Models | Jul 3, 2021 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 1 |
| Open-set Label Noise Can Improve Robustness Against Inherent Label Noise | Jun 21, 2021 | Learning with noisy labelsOut-of-Distribution Detection | CodeCode Available | 1 |
| Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces | Jun 19, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 1 |
| A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection | Jun 16, 2021 | Intent DetectionOut-of-Distribution Detection | CodeCode Available | 1 |
| Implicit field learning for unsupervised anomaly detection in medical images | Jun 9, 2021 | Anomaly DetectionDecoder | CodeCode Available | 1 |
| Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments | Jun 7, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| Exploring the Limits of Out-of-Distribution Detection | Jun 6, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss | May 30, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Greedy Bayesian Posterior Approximation with Deep Ensembles | May 29, 2021 | DiversityOut-of-Distribution Detection | CodeCode Available | 1 |
| Towards Discovery and Attribution of Open-world GAN Generated Images | May 10, 2021 | AttributeClustering | CodeCode Available | 1 |
| MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space | May 5, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| MOOD: Multi-level Out-of-distribution Detection | Apr 30, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Contrastive Out-of-Distribution Detection for Pretrained Transformers | Apr 18, 2021 | Contrastive LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| Multi-Class Data Description for Out-of-distribution Detection | Apr 2, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| SSD: A Unified Framework for Self-Supervised Outlier Detection | Mar 22, 2021 | Anomaly DetectionOutlier Detection | CodeCode Available | 1 |
| A Review and Refinement of Surprise Adequacy | Mar 10, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks | Feb 24, 2021 | Decision MakingOut-of-Distribution Detection | CodeCode Available | 1 |
| Hierarchical VAEs Know What They Don't Know | Feb 16, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| 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 |
