| On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem | Feb 26, 2024 | Automated Theorem ProvingOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| On the Importance of Regularisation & Auxiliary Information in OOD Detection | Jul 15, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Out-of-distribution Detection in Classifiers via Generation | Oct 9, 2019 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | 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 |
| ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects | Apr 26, 2021 | Anomaly DetectionImage Reconstruction | 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 |
| On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | May 27, 2019 | ClassificationData Augmentation | CodeCode Available | 0 | 5 |
| Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks | Jul 13, 2023 | Out-of-Distribution Detectiontext-classification | 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 |
| On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors | Oct 27, 2022 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 0 | 5 |
| Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows | Aug 9, 2022 | Density EstimationOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| AdaFocal: Calibration-aware Adaptive Focal Loss | Nov 21, 2022 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| NECO: NEural Collapse Based Out-of-distribution detection | Oct 10, 2023 | Out-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions | Jul 23, 2024 | Out-of-Distribution DetectionPrompt Engineering | 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 |
| Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? | Oct 2, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection | Nov 20, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | 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 |
| 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 |
| Calibrated Out-of-Distribution Detection with a Generic Representation | Mar 23, 2023 | 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 |
| DOS: Diverse Outlier Sampling for Out-of-Distribution Detection | Jun 3, 2023 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Are Bayesian neural networks intrinsically good at out-of-distribution detection? | Jul 26, 2021 | Bayesian InferenceOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Metric Learning for Novelty and Anomaly Detection | Aug 16, 2018 | Anomaly DetectionMetric Learning | 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 |
| A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection | Jun 6, 2023 | Anomaly DetectionOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization | Sep 27, 2023 | DiversityOut-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 |
| Simple Calibration via Geodesic Kernels | Jan 31, 2022 | Out-of-Distribution Detectionregression | CodeCode Available | 0 | 5 |
| Logit Scaling for Out-of-Distribution Detection | Sep 2, 2024 | Out-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 |
| Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection | Mar 3, 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 |
| Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs | Apr 18, 2025 | Out-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 |
| A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks | Sep 30, 2022 | image-classificationImage Classification | 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 |
| Boosting Out-of-Distribution Detection with Multiple Pre-trained Models | Dec 24, 2022 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation | Aug 7, 2023 | Dimensionality ReductionImage Segmentation | 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 |
| Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection | Nov 21, 2022 | DenoisingOut-of-Distribution 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 |
| Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps | Jan 13, 2025 | Density EstimationOut-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 |
| 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 |
| Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection | Jul 4, 2024 | Out-of-Distribution 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 |
| Advancing Out-of-Distribution Detection via Local Neuroplasticity | Feb 20, 2025 | Kolmogorov-Arnold NetworksOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection | Apr 23, 2022 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
