Out-of-Distribution Detection

ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements L4DC 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 COODetect at SemEval-2026 Task 13: Unsupervised Latent Domain Adaptation for Out-of-Distribution AI Code Detection SemEval 2026 Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection ACL 2026 TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study SemEval 2026 A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset AISTATS 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training 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 HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025 Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025 Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025 ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025 ‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF ACL 2025 On Information-Theoretic Measures of Predictive Uncertainty UAI 2025 Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection UAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025 Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection EMNLP 2025