| Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization | Sep 27, 2023 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection | Nov 16, 2023 | Feature ImportanceOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection | Jul 28, 2021 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model | Jul 19, 2024 | Domain AdaptationOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification | Apr 8, 2023 | Out-of-Distribution Detectionregression | CodeCode Available | 0 | 5 |
| Margin-bounded Confidence Scores for Out-of-Distribution Detection | Sep 22, 2024 | Autonomous DrivingBenchmarking | CodeCode Available | 0 | 5 |
| From Global to Local: Multi-scale Out-of-distribution Detection | Aug 20, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Igeood: An Information Geometry Approach to Out-of-Distribution Detection | Mar 15, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Learning Energy-Based Models With Adversarial Training | Dec 11, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Metric Learning for Novelty and Anomaly Detection | Aug 16, 2018 | Anomaly DetectionMetric Learning | CodeCode Available | 0 | 5 |
| Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs | Feb 25, 2025 | Graph LearningOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | CodeCode Available | 0 | 5 |
| Forte : Finding Outliers with Representation Typicality Estimation | Oct 2, 2024 | Out-of-Distribution DetectionRepresentation Learning | CodeCode Available | 0 | 5 |
| A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks | Sep 30, 2022 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers | Sep 4, 2018 | Autonomous DrivingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Simple Calibration via Geodesic Kernels | Jan 31, 2022 | Out-of-Distribution Detectionregression | CodeCode Available | 0 | 5 |
| Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation | Oct 28, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients | Dec 10, 2024 | object-detectionObject Detection | CodeCode Available | 0 | 5 |
| Logit Scaling for Out-of-Distribution Detection | Sep 2, 2024 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Improving Confident-Classifiers For Out-of-distribution Detection | Sep 25, 2019 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Analysis of Confident-Classifiers for Out-of-distribution Detection | Apr 27, 2019 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail | Aug 13, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks | Jul 3, 2023 | Out-of-Distribution DetectionSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| Mining In-distribution Attributes in Outliers for Out-of-distribution Detection | Dec 16, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning | Jul 3, 2024 | Contrastive LearningDensity Estimation | CodeCode Available | 0 | 5 |
| Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection | Dec 4, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Flow-based Domain Randomization for Learning and Sequencing Robotic Skills | Feb 3, 2025 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks | Jun 13, 2024 | Crowd CountingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Back to the Basics: Revisiting Out-of-Distribution Detection Baselines | Jul 7, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score | Oct 8, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection | Feb 12, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection | Mar 24, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection | Dec 2, 2024 | object-detectionObject Detection | CodeCode Available | 0 | 5 |
| Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features | Mar 15, 2023 | DisentanglementObject Recognition | CodeCode Available | 0 | 5 |
| Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks | May 22, 2024 | Action Recognitioncounterfactual | CodeCode Available | 0 | 5 |
| Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows | Jun 10, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood | Sep 10, 2023 | Image InpaintingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning | Oct 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 | 5 |
| Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection | Jul 4, 2024 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Semi-supervised novelty detection using ensembles with regularized disagreement | Dec 10, 2020 | Novelty DetectionOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps | Jan 13, 2025 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Faithful Label-free Knowledge Distillation | Nov 22, 2024 | Inductive BiasKnowledge Distillation | CodeCode Available | 0 | 5 |
| DOS: Diverse Outlier Sampling for Out-of-Distribution Detection | Jun 3, 2023 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Input complexity and out-of-distribution detection with likelihood-based generative models | Sep 25, 2019 | Anomaly DetectionOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Calibrated Out-of-Distribution Detection with a Generic Representation | Mar 23, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Fair and accurate age prediction using distribution aware data curation and augmentation | Sep 11, 2020 | Age EstimationData Augmentation | CodeCode Available | 0 | 5 |
| Large-Scale Open-Set Classification Protocols for ImageNet | Oct 13, 2022 | Classificationopen-set classification | CodeCode Available | 0 | 5 |
| FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection | Jul 6, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework | Aug 2, 2024 | Generalized Zero-Shot LearningOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Layer Adaptive Deep Neural Networks for Out-of-distribution Detection | Mar 1, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
