| Hypercone Assisted Contour Generation for Out-of-Distribution Detection | Jan 17, 2025 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings | Dec 22, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Hypothesis-Driven Deep Learning for Out of Distribution Detection | Mar 21, 2024 | Decision MakingDeep Learning | —Unverified | 0 |
| iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection | Jan 7, 2022 | Anomaly DetectionOut-of-Distribution Detection | —Unverified | 0 |
| I Find Your Lack of Uncertainty in Computer Vision Disturbing | Apr 16, 2021 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| (Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models | Sep 4, 2024 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| PAWS-VMK: A Unified Approach To Semi-Supervised Learning And Out-of-Distribution Detection | Nov 28, 2023 | Benchmarkingimage-classification | —Unverified | 0 |
| Improving and Assessing Anomaly Detectors for Large-Scale Settings | Sep 29, 2021 | Anomaly SegmentationOut-of-Distribution Detection | —Unverified | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Improving colonoscopy lesion classification using semi-supervised deep learning | Sep 7, 2020 | ClassificationDeep Learning | —Unverified | 0 |
| Improving Compositionality of Neural Networks by Decoding Representations to Inputs | Jun 1, 2021 | FairnessOut-of-Distribution Detection | —Unverified | 0 |
| Improving Deep Ensembles by Estimating Confusion Matrices | Mar 10, 2025 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations | Feb 23, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score | May 21, 2021 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving Face Recognition by Clustering Unlabeled Faces in the Wild | Jul 14, 2020 | ClusteringFace Clustering | —Unverified | 0 |
| Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training | Sep 5, 2022 | Computational EfficiencyOut-of-Distribution Detection | —Unverified | 0 |
| Improving Out-of-Distribution Detection with Markov Logic Networks | May 28, 2025 | Computational EfficiencyOut-of-Distribution Detection | —Unverified | 0 |
| Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance | Dec 6, 2018 | Out-of-Distribution Detection | —Unverified | 0 |
| Improving robustness and calibration in ensembles with diversity regularization | Jan 26, 2022 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Robust Contrastive Active Learning with Feature-guided Query Strategies | Sep 13, 2021 | Active Learningimage-classification | —Unverified | 0 |
| Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation | Nov 10, 2022 | Image SegmentationMedical Image Analysis | —Unverified | 0 |
| Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks | Sep 17, 2022 | L2 RegularizationOut-of-Distribution Detection | —Unverified | 0 |
| Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining | Sep 28, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation | May 19, 2025 | Data AugmentationOpen Set Learning | —Unverified | 0 |
| InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning | Mar 13, 2023 | Out-of-Distribution Detection | —Unverified | 0 |
| Integrating uncertainty quantification into randomized smoothing based robustness guarantees | Oct 27, 2024 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Interpretable Out-Of-Distribution Detection Using Pattern Identification | Jan 24, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Interpreting deep learning output for out-of-distribution detection | Nov 7, 2022 | Deep LearningOut-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 |
| Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space | Mar 16, 2022 | AllContrastive Learning | —Unverified | 0 |
| Is Out-of-Distribution Detection Learnable? | Oct 26, 2022 | DiversityLearning Theory | —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 |
| 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 |
| Learning a Discriminant Latent Space with Neural Discriminant Analysis | Jul 13, 2021 | ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Learning A Disentangling Representation For PU Learning | Oct 5, 2023 | ClusteringDensity Estimation | —Unverified | 0 |
| Learning Multi-Manifold Embedding for Out-Of-Distribution Detection | Sep 19, 2024 | Out-of-Distribution DetectionRepresentation Learning | —Unverified | 0 |
| Learning Sample Difficulty from Pre-trained Models for Reliable Prediction | Apr 20, 2023 | Out-of-Distribution DetectionPrediction | —Unverified | 0 |
| Learning to Profile: User Meta-Profile Network for Few-Shot Learning | Aug 21, 2020 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Plugin estimators for selective classification with out-of-distribution detection | Jan 29, 2023 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Learning Unnormalized Statistical Models via Compositional Optimization | Jun 13, 2023 | Density EstimationImage Generation | —Unverified | 0 |
| Learn what you can't learn: Regularized Ensembles for Transductive out-of-distribution detection | Sep 28, 2020 | Out-of-Distribution DetectionOut of Distribution (OOD) Detection | —Unverified | 0 |
| Neural Mean Discrepancy for Efficient Out-of-Distribution Detection | Apr 23, 2021 | General ClassificationOut-of-Distribution Detection | —Unverified | 0 |
| Logit Disagreement: OoD Detection with Bayesian Neural Networks | Feb 21, 2025 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Low-Dimensional Gradient Helps Out-of-Distribution Detection | Oct 26, 2023 | Dimensionality ReductionOut-of-Distribution Detection | —Unverified | 0 |
| Low-Quality Image Detection by Hierarchical VAE | Aug 20, 2024 | Out-of-Distribution Detection | —Unverified | 0 |
| MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning | Nov 2, 2024 | Domain GeneralizationMeta-Learning | —Unverified | 0 |
| Mahalanobis-Aware Training for Out-of-Distribution Detection | Nov 1, 2023 | Out-of-Distribution DetectionSensitivity | —Unverified | 0 |
