ood detection

DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors AAAI 2026 ENCORE : A Neural Collapse Perspective on Out-of-Distribution Detection in Deep Neural Networks WACV 2026 GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026 Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries AAAI 2026 All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025 A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025 Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning ICML 2025 CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025 Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation ICLR 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching ICLR 2025 Mahalanobis++: Improving OOD Detection via Feature Normalization ICML 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025 Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection ICML 2025 REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025 Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation ICML 2025 A Geometric Explanation of the Likelihood OOD Detection Paradox ICML 2024 A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View NeurIPS 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024