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Out-of-Distribution Detection

161 directly classified papers

Papers per year

Papers

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection EMNLP 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025
‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF ACL 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025
Graph OOD Detection via Plug-and-Play Energy-based Evaluation and Propagation IJCAI 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024