ood detection

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 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection ICML 2024 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NeurIPS 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ICLR 2024 Learning Structured Representations with Hyperbolic Embeddings NeurIPS 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 On the Learnability of Out-of-distribution Detection JMLR 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 Beyond Confidence: Reliable Models Should Also Consider Atypicality NeurIPS 2023 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023 Energy-based Out-of-Distribution Detection for Graph Neural Networks ICLR 2023 Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples ACL 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text ACL 2023 Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023 The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection ICLR 2023 Density-driven Regularization for Out-of-distribution Detection NeurIPS 2022