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Out-of-Distribution Detection

25 papers

Papers per year

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Papers

DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026
Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG ACL 2026
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations AAAI 2025
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NIPS 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023
Understanding the Feature Norm for Out-of-Distribution Detection ICCV 2023
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021