| DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization | Aug 4, 2023 | Activity RecognitionGesture Recognition | —Unverified | 0 |
| Buffer-free Class-Incremental Learning with Out-of-Distribution Detection | May 29, 2025 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning | Aug 28, 2023 | DiversityEnsemble Learning | —Unverified | 0 |
| Learning Unnormalized Statistical Models via Compositional Optimization | Jun 13, 2023 | Density EstimationImage Generation | —Unverified | 0 |
| Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models | Dec 1, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space | Jun 20, 2022 | Density EstimationMeta-Learning | —Unverified | 0 |
| Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation | Apr 28, 2021 | Gaussian ProcessesImage Segmentation | —Unverified | 0 |
| Distributional Gaussian Processes Layers for Out-of-Distribution Detection | Jun 27, 2022 | Gaussian ProcessesOut-of-Distribution Detection | —Unverified | 0 |
| Bridging Machine Learning and Sciences: Opportunities and Challenges | Oct 24, 2022 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC | Aug 2, 2023 | Out-of-Distribution DetectionSelf-Supervised Learning | —Unverified | 0 |
| DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging | Jun 10, 2025 | Binary ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models | Nov 11, 2022 | Image-to-Image TranslationOut-of-Distribution Detection | —Unverified | 0 |
| Learning Sample Difficulty from Pre-trained Models for Reliable Prediction | Apr 20, 2023 | Out-of-Distribution DetectionPrediction | —Unverified | 0 |
| Discriminative out-of-distribution detection for semantic segmentation | Aug 23, 2018 | Out-of-Distribution DetectionSemantic Segmentation | —Unverified | 0 |
| Discriminability-Driven Channel Selection for Out-of-Distribution Detection | Jan 1, 2024 | channel selectionOut-of-Distribution Detection | —Unverified | 0 |
| Boundary Aware Learning for Out-of-distribution Detection | Dec 22, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance | Oct 12, 2023 | Feature EngineeringManagement | —Unverified | 0 |
| DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection | Jan 14, 2025 | AllOut-of-Distribution Detection | —Unverified | 0 |
| A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection | Sep 26, 2022 | Autonomous DrivingDomain Generalization | —Unverified | 0 |
| Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels | Apr 28, 2025 | Fault DiagnosisOut-of-Distribution Detection | —Unverified | 0 |
| Learning A Disentangling Representation For PU Learning | Oct 5, 2023 | ClusteringDensity Estimation | —Unverified | 0 |
| Boosting Out-of-distribution Detection with Typical Features | Oct 9, 2022 | Out-of-Distribution Detection | —Unverified | 0 |
| Learning Multi-Manifold Embedding for Out-Of-Distribution Detection | Sep 19, 2024 | Out-of-Distribution DetectionRepresentation Learning | —Unverified | 0 |
| Learning to Profile: User Meta-Profile Network for Few-Shot Learning | Aug 21, 2020 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Bi-level Doubly Variational Learning for Energy-based Latent Variable Models | Mar 24, 2022 | Image GenerationImage Reconstruction | —Unverified | 0 |
| Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection | Feb 9, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving | May 2, 2024 | Anomaly DetectionAutonomous Driving | —Unverified | 0 |
| Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data | Jan 1, 2025 | Out-of-Distribution Detection | —Unverified | 0 |
| How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model | Mar 5, 2023 | DenoisingImage Generation | —Unverified | 0 |
| Anomaly detection through latent space restoration using vector-quantized variational autoencoders | Dec 12, 2020 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation | Jan 14, 2021 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar | Jul 24, 2023 | CPUOut-of-Distribution Detection | —Unverified | 0 |
| DICE: A Simple Sparsification Method for Out-of-distribution Detection | Sep 29, 2021 | AttributeOut-of-Distribution Detection | —Unverified | 0 |
| Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks | Jan 7, 2024 | Graph ClassificationGraph Representation Learning | —Unverified | 0 |
| Histogram- and Diffusion-Based Medical Out-of-Distribution Detection | Oct 12, 2023 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| Is Out-of-Distribution Detection Learnable? | Oct 26, 2022 | DiversityLearning Theory | —Unverified | 0 |
| High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks | Jul 9, 2018 | Data AugmentationImage Generation | —Unverified | 0 |
| Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection | Aug 28, 2024 | Density EstimationOut-of-Distribution Detection | —Unverified | 0 |
| Better Verified Explanations with Applications to Incorrectness and Out-of-Distribution Detection | Sep 4, 2024 | Out-of-Distribution Detection | —Unverified | 0 |
| How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? | Jun 9, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Joint Distribution across Representation Space for Out-of-Distribution Detection | Mar 23, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| kFolden: k-Fold Ensemble for Out-Of-Distribution Detection | Nov 1, 2021 | AttributeClassification | —Unverified | 0 |
| Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks | Aug 16, 2023 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| Hierarchical Gaussian Processes with Wasserstein-2 Kernels | Oct 28, 2020 | Gaussian ProcessesOut-of-Distribution Detection | —Unverified | 0 |
| How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? | Dec 22, 2023 | Out-of-Distribution Detection | —Unverified | 0 |
| Intra-class Mixup for Out-of-Distribution Detection | Sep 29, 2021 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar | Dec 14, 2023 | Out-of-Distribution DetectionTriplet | —Unverified | 0 |
| Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection | Aug 27, 2024 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Hybrid Models for Open Set Recognition | Mar 27, 2020 | Open Set LearningOut-of-Distribution Detection | —Unverified | 0 |
| Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection | Jan 9, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
