out-of-distribution detection

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024 Image Background Serves as Good Proxy for Out-of-distribution Data ICLR 2024 ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ICLR 2024 Improving Open-Set Semi-Supervised Learning With Self-Supervision WACV 2024 Kernel PCA for Out-of-Distribution Detection NeurIPS 2024 Latent Representation Entropy Density for Distribution Shift Detection UAI 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ICLR 2024 Learning Structured Representations with Hyperbolic Embeddings NeurIPS 2024 Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024 Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NeurIPS 2024 MAGE: Machine-generated Text Detection in the Wild ACL 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects ICLR 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities NeurIPS 2024 NECO: NEural Collapse Based Out-of-distribution detection ICLR 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models ICLR 2024 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024