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Out-of-Distribution Detection

161 directly classified papers

Papers per year

Papers

Predicting the Performance of Foundation Models via Agreement-on-the-Line NIPS 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections NIPS 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NIPS 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NIPS 2024
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection AAAI 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NIPS 2024