| A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks | Oct 7, 2016 | Anomaly DetectionAutomatic Speech Recognition | CodeCode Available | 1 | 5 |
| Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices | Dec 28, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection | Jun 16, 2021 | Intent DetectionOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification | Jul 15, 2021 | Conformal PredictionDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks | Jul 10, 2018 | class-incremental learningClass Incremental Learning | CodeCode Available | 1 | 5 |
| Scaling Out-of-Distribution Detection for Real-World Settings | Nov 25, 2019 | Anomaly SegmentationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond | Jul 22, 2024 | Anomaly DetectionAnomaly Segmentation | CodeCode Available | 1 | 5 |
| How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? | Feb 7, 2023 | Out-of-Distribution Detectionregression | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Hyperdimensional Feature Fusion for Out-Of-Distribution Detection | Dec 10, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Disentangled Information Bottleneck | Dec 14, 2020 | Adversarial AttackOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks | Dec 1, 2021 | Open Set LearningOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection | Jun 2, 2024 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks | Jun 8, 2017 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Estimating Example Difficulty Using Variance of Gradients | Aug 26, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Exploring the Limits of Out-of-Distribution Detection | Jun 6, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Energy-based Hopfield Boosting for Out-of-Distribution Detection | May 14, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Weakly-supervised Temporal Action Localization by Uncertainty Modeling | Jun 12, 2020 | Action ClassificationAction Localization | CodeCode Available | 1 | 5 |
| Energy-based Out-of-distribution Detection | Oct 8, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System | Jan 31, 2019 | Deep LearningDisease Prediction | CodeCode Available | 1 | 5 |
| Balanced Energy Regularization Loss for Out-of-distribution Detection | Jun 18, 2023 | Classificationimage-classification | CodeCode Available | 1 | 5 |
| A Benchmark of Medical Out of Distribution Detection | Jul 8, 2020 | DiagnosticMedical Diagnosis | CodeCode Available | 1 | 5 |
| CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No | Aug 23, 2023 | NegationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation | Dec 9, 2020 | General ClassificationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Bayesian continual learning and forgetting in neural networks | Apr 18, 2025 | Bayesian InferenceContinual Learning | CodeCode Available | 1 | 5 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Confidence-Aware Learning for Deep Neural Networks | Jul 3, 2020 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Contrastive Out-of-Distribution Detection for Pretrained Transformers | Apr 18, 2021 | Contrastive LearningOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Denoising diffusion models for out-of-distribution detection | Nov 14, 2022 | DenoisingOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain | Aug 19, 2021 | Adversarial AttackData Augmentation | CodeCode Available | 1 | 5 |
| How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? | Mar 8, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection | Jun 1, 2024 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Beyond AUROC & co. for evaluating out-of-distribution detection performance | Jun 26, 2023 | Binary ClassificationOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features | May 13, 2019 | Domain GeneralizationImage Captioning | CodeCode Available | 1 | 5 |
| CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances | Jul 16, 2020 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Block Selection Method for Using Feature Norm in Out-of-distribution Detection | Dec 5, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings | Oct 14, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Deep Residual Flow for Out of Distribution Detection | Jan 15, 2020 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot | Nov 15, 2022 | Navigateobject-detection | CodeCode Available | 1 | 5 |
| Adversarial vulnerability of powerful near out-of-distribution detection | Jan 18, 2022 | Adversarial RobustnessOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities | Jun 20, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Delving into Out-of-Distribution Detection with Vision-Language Representations | Nov 24, 2022 | Out-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Broken Neural Scaling Laws | Oct 26, 2022 | Adversarial RobustnessContinual Learning | CodeCode Available | 1 | 5 |
| A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | Feb 23, 2023 | BenchmarkingKnowledge Distillation | CodeCode Available | 1 | 5 |
| Detecting Underspecification with Local Ensembles | Oct 21, 2019 | Active LearningOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
| Energy-based Out-of-Distribution Detection for Graph Neural Networks | Feb 6, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 1 | 5 |
| Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy | Aug 15, 2019 | Data AugmentationMetric Learning | CodeCode Available | 1 | 5 |
| CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection | Sep 5, 2022 | Generative Adversarial NetworkIntrusion Detection | CodeCode Available | 1 | 5 |
| EAT: Towards Long-Tailed Out-of-Distribution Detection | Dec 14, 2023 | Long-tail LearningOut-of-Distribution Detection | CodeCode Available | 1 | 5 |
