| Out of Distribution Detection on ImageNet-O | Jan 23, 2022 | BenchmarkingOut-of-Distribution Detection | CodeCode Available | 0 |
| Adversarial vulnerability of powerful near out-of-distribution detection | Jan 18, 2022 | Adversarial RobustnessOut-of-Distribution Detection | CodeCode Available | 1 |
| iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection | Jan 7, 2022 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Deep Hybrid Models for Out-of-Distribution Detection | Jan 1, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data | Dec 23, 2021 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Boundary Aware Learning for Out-of-distribution Detection | Dec 22, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes | Dec 20, 2021 | Graph AttentionGraph Learning | CodeCode Available | 1 |
| Improving evidential deep learning via multi-task learning | Dec 17, 2021 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| Out-of-Distribution Detection Without Class Labels | Dec 14, 2021 | Anomaly DetectionClustering | —Unverified | 0 |
| WOOD: Wasserstein-based Out-of-Distribution Detection | Dec 13, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| Hyperdimensional Feature Fusion for Out-Of-Distribution Detection | Dec 10, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| On visual self-supervision and its effect on model robustness | Dec 8, 2021 | Out-of-Distribution DetectionSelf-Supervised Learning | —Unverified | 0 |
| Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models | Dec 6, 2021 | Deep Learningimage-classification | —Unverified | 0 |
| Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning | Dec 5, 2021 | Deep Reinforcement LearningOut-of-Distribution Detection | —Unverified | 0 |
| Provable Guarantees for Understanding Out-of-distribution Detection | Dec 1, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks | Dec 1, 2021 | Open Set LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data | Dec 1, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models | Dec 1, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection | Nov 30, 2021 | One-Class ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| The Exponentially Tilted Gaussian Prior for Variational Autoencoders | Nov 30, 2021 | Out-of-Distribution Detection | CodeCode Available | 0 |
| Data Invariants to Understand Unsupervised Out-of-Distribution Detection | Nov 26, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Deep Representation Learning with an Information-theoretic Loss | Nov 25, 2021 | Anomaly DetectionFew-Shot Learning | —Unverified | 0 |
| ReAct: Out-of-distribution Detection With Rectified Activations | Nov 24, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks | Nov 24, 2021 | Anomaly DetectionColorization | —Unverified | 0 |
| DICE: Leveraging Sparsification for Out-of-Distribution Detection | Nov 18, 2021 | AttributeOut-of-Distribution Detection | CodeCode Available | 1 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 |
| Statistical Perspectives on Reliability of Artificial Intelligence Systems | Nov 9, 2021 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Out of distribution detection for skin and malaria images | Nov 2, 2021 | Metric LearningOut-of-Distribution Detection | —Unverified | 0 |
| kFolden: k-Fold Ensemble for Out-Of-Distribution Detection | Nov 1, 2021 | AttributeClassification | —Unverified | 0 |
| Validate on Sim, Detect on Real -- Model Selection for Domain Randomization | Nov 1, 2021 | Model SelectionOut-of-Distribution Detection | —Unverified | 0 |
| PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation | Oct 31, 2021 | Data AugmentationLanguage Modeling | —Unverified | 0 |
| Class-wise Thresholding for Robust Out-of-Distribution Detection | Oct 28, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges | Oct 26, 2021 | Anomaly DetectionNovelty Detection | CodeCode Available | 1 |
| Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection | Oct 26, 2021 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task | Oct 26, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Generalized Out-of-Distribution Detection: A Survey | Oct 21, 2021 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection | Oct 18, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead | Oct 13, 2021 | Out-of-Distribution DetectionPlaying the Game of 2048 | —Unverified | 0 |
| On out-of-distribution detection with Bayesian neural networks | Oct 12, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Open-Set Recognition: a Good Closed-Set Classifier is All You Need? | Oct 12, 2021 | AllOpen Set Learning | CodeCode Available | 1 |
| Temperature as Uncertainty in Contrastive Learning | Oct 8, 2021 | Contrastive LearningLinear evaluation | CodeCode Available | 1 |
| Deep Classifiers with Label Noise Modeling and Distance Awareness | Oct 6, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization | Oct 5, 2021 | Model OptimizationOut-of-Distribution Detection | —Unverified | 0 |
| On the Importance of Gradients for Detecting Distributional Shifts in the Wild | Oct 1, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization | Sep 30, 2021 | Anomaly ClassificationAnomaly Detection | CodeCode Available | 1 |
| Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation | Sep 30, 2021 | BIG-bench Machine LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| Intra-class Mixup for Out-of-Distribution Detection | Sep 29, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| The Needle in the haystack: Out-distribution aware Self-training in an Open-World Setting | Sep 29, 2021 | Out-of-Distribution DetectionSelf-Learning | —Unverified | 0 |
| Self-Joint Supervised Learning | Sep 29, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| FROB: Few-shot ROBust Model for Classification with Out-of-Distribution Detection | Sep 29, 2021 | One-Class ClassificationOut-of-Distribution Detection | —Unverified | 0 |
