| A Review and Refinement of Surprise Adequacy | Mar 10, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks | Aug 29, 2024 | Open Set LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks | Oct 7, 2016 | Anomaly DetectionAutomatic Speech Recognition | CodeCode Available | 1 |
| Masksembles for Uncertainty Estimation | Dec 15, 2020 | Classifier calibrationEnsemble Learning | CodeCode Available | 1 |
| Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System | Jan 31, 2019 | Deep LearningDisease Prediction | CodeCode Available | 1 |
| How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? | Mar 8, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) 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 |
| Detecting Underspecification with Local Ensembles | Oct 21, 2019 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 |
| MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space | May 5, 2021 | image-classificationImage Classification | CodeCode Available | 1 |
| A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks | Jul 10, 2018 | class-incremental learningClass Incremental Learning | CodeCode Available | 1 |
| CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No | Aug 23, 2023 | NegationOut-of-Distribution Detection | CodeCode Available | 1 |
| Scaling Out-of-Distribution Detection for Real-World Settings | Nov 25, 2019 | Anomaly SegmentationOut-of-Distribution Detection | CodeCode Available | 1 |
| Natural Adversarial Examples | Jul 16, 2019 | Adversarial AttackData Augmentation | CodeCode Available | 1 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection | Jun 23, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples | Jun 7, 2020 | General ClassificationMetric Learning | CodeCode Available | 1 |
| Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization | Jun 5, 2023 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow | May 16, 2023 | Anomaly DetectionOut-of-Distribution Detection | CodeCode Available | 1 |
| Confidence-Aware Learning for Deep Neural Networks | Jul 3, 2020 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| On the Impact of Spurious Correlation for Out-of-distribution Detection | Sep 12, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| On the Importance of Gradients for Detecting Distributional Shifts in the Wild | Oct 1, 2021 | Out-of-Distribution Detection | CodeCode Available | 1 |
| OODformer: Out-Of-Distribution Detection Transformer | Jul 19, 2021 | Contrastive Learningimage-classification | CodeCode Available | 1 |
| OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning | Jul 8, 2024 | Benchmarkingclass-incremental learning | 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 |
| OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection | Jun 15, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| EAT: Towards Long-Tailed Out-of-Distribution Detection | Dec 14, 2023 | Long-tail LearningOut-of-Distribution Detection | CodeCode Available | 1 |
| 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 |
| Continual Evidential Deep Learning for Out-of-Distribution Detection | Sep 6, 2023 | Continual LearningDeep Learning | CodeCode Available | 1 |
| Delving into Out-of-Distribution Detection with Vision-Language Representations | Nov 24, 2022 | Out-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 |
| Energy-based Hopfield Boosting for Out-of-Distribution Detection | May 14, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Energy-based Out-of-Distribution Detection for Graph Neural Networks | Feb 6, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations | Mar 24, 2025 | cross-modal alignmentImage Classification | CodeCode Available | 1 |
| Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain | Aug 19, 2021 | Adversarial AttackData Augmentation | CodeCode Available | 1 |
| Deep Residual Flow for Out of Distribution Detection | Jan 15, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Evidential Deep Learning for Open Set Action Recognition | Jul 21, 2021 | Action RecognitionDeep Learning | CodeCode Available | 1 |
| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | Jul 16, 2020 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Weakly-supervised Temporal Action Localization by Uncertainty Modeling | Jun 12, 2020 | Action ClassificationAction Localization | CodeCode Available | 1 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 |
| Extremely Simple Activation Shaping for Out-of-Distribution Detection | Sep 20, 2022 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Enabling Uncertainty Estimation in Iterative Neural Networks | Mar 25, 2024 | Bayesian OptimizationOut-of-Distribution Detection | CodeCode Available | 1 |
| Balanced Energy Regularization Loss for Out-of-distribution Detection | Jun 18, 2023 | Classificationimage-classification | CodeCode Available | 1 |
| DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection | Jun 1, 2024 | Out-of-Distribution Detection | CodeCode Available | 1 |
| A Benchmark of Medical Out of Distribution Detection | Jul 8, 2020 | DiagnosticMedical Diagnosis | CodeCode Available | 1 |
| Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features | Jan 30, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 |
| Deep Anomaly Detection with Outlier Exposure | Dec 11, 2018 | Anomaly DetectionOut-of-Distribution Detection | CodeCode Available | 1 |
| Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot | Nov 15, 2022 | Navigateobject-detection | CodeCode Available | 1 |
| FrOoDo: Framework for Out-of-Distribution Detection | Aug 1, 2022 | Out-of-Distribution Detection | CodeCode Available | 1 |
| Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection | Jun 2, 2024 | Out-of-Distribution Detection | CodeCode Available | 1 |
