Out-of-Distribution Detection

Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025 Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025 Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models NeurIPS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring UAI 2024 CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024 EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NeurIPS 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NeurIPS 2024 How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024