| ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects | Apr 26, 2021 | Anomaly DetectionImage Reconstruction | CodeCode Available | 0 | 5 |
| Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection | May 26, 2023 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets | Sep 12, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Non-Linear Outlier Synthesis for Out-of-Distribution Detection | Nov 20, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Advancing Out-of-Distribution Detection via Local Neuroplasticity | Feb 20, 2025 | Kolmogorov-Arnold NetworksOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | May 27, 2019 | ClassificationData Augmentation | CodeCode Available | 0 | 5 |
| NECO: NEural Collapse Based Out-of-distribution detection | Oct 10, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Diversity inducing Information Bottleneck in Model Ensembles | Mar 10, 2020 | Diversitymodel | CodeCode Available | 0 | 5 |
| Anomaly Detection and Prototype Selection Using Polyhedron Curvature | Apr 5, 2020 | Anomaly DetectionDenoising | CodeCode Available | 0 | 5 |
| Detecting out-of-distribution text using topological features of transformer-based language models | Nov 22, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision | Dec 2, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors | Oct 27, 2022 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 0 | 5 |
| Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy | May 8, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Detecting Out-of-distribution Data through In-distribution Class Prior | Apr 25, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation | Aug 5, 2024 | Dimensionality ReductionImage Segmentation | CodeCode Available | 0 | 5 |
| Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies | Aug 2, 2023 | Anomaly DetectionImage Segmentation | CodeCode Available | 0 | 5 |
| HALO: Robust Out-of-Distribution Detection via Joint Optimisation | Feb 27, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Density Uncertainty Layers for Reliable Uncertainty Estimation | Jun 21, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection | Jan 1, 2025 | Continual LearningIncremental Learning | CodeCode Available | 0 | 5 |
| Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder | Sep 5, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection | Jun 15, 2023 | BenchmarkingOut-of-Distribution Detection | 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 |
| 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 |
| Metric Learning for Novelty and Anomaly Detection | Aug 16, 2018 | Anomaly DetectionMetric Learning | CodeCode Available | 0 | 5 |
| Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations | May 21, 2024 | Out-of-Distribution 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 |
| Gradient-Regularized Out-of-Distribution Detection | Apr 18, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | 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 |
| 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 |
| Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation | Aug 15, 2023 | BenchmarkingMedical Image Analysis | CodeCode Available | 0 | 5 |
| Logit Scaling for Out-of-Distribution Detection | Sep 2, 2024 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| An Effective Baseline for Robustness to Distributional Shift | May 15, 2021 | Deep LearningOut-of-Distribution Detection | 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 |
| Margin-bounded Confidence Scores for Out-of-Distribution Detection | Sep 22, 2024 | Autonomous DrivingBenchmarking | 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 |
| Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More | Jan 1, 2021 | Adversarial RobustnessClassification | 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 |
| Holistic Sentence Embeddings for Better Out-of-Distribution Detection | Oct 14, 2022 | AvgOut-of-Distribution Detection | 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 |
| Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection | Jul 4, 2024 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents | May 19, 2025 | Out-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 |
| Full-Spectrum Out-of-Distribution Detection | Apr 11, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection | Nov 16, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) 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 |
| 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 |
| Learning Energy-Based Models With Adversarial Training | Dec 11, 2020 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 | 5 |
| Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection | Mar 27, 2023 | Adversarial RobustnessOut-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 |
