| 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 |
