out-of-distribution detection

Enhancing Out-of-Distribution Detection with Extended Logit Normalization CVPR 2026 Enhancing Two Steps Textual Anomaly Detection through Anisotropy Mitigation ACL 2026 Flow-Induced Diagonal Gaussian Processes AAAI 2026 From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026 GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026 Geometry-driven OOD Detectors Are Class-Incremental Learners CVPR 2026 Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026 ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026 Image-based Outlier Synthesis With Training Data CVPR 2026 Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026 Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026 KLIP: Localized Distribution Shift Detection via KL-Divergence with Diffusion Priors in Inverse Problems CVPR 2026 Label-Wise uncertainty decomposition for Multi-label Classification by Maximizing Type II Likelihood UAI 2026 Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026 Learning Latent Concepts for Detecting Out-of-Distribution Objects CVPR 2026 Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment AAAI 2026 LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026 MindFlayer at SemEval-2026 Task 13:LACR-ENS: Calibration-Aware Ensemble Routing for Cross-Language AI-Generated Code Detection SemEval 2026 Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs CVPR 2026 Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis CVPR 2026 Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation WACV 2026 MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code Detection SemEval 2026