Out-of-Distribution Detection

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026 TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models CVPR 2026 UNI-OOD: Unified Object- and Image-level Out-of-Distribution Detection via Cross-Context Attentive Vision-Language Modeling CVPR 2026 Cross-corpus open-set Speech Emotion Recognition Method Based on Spatiotemporal Features with Inverse-Entropy Regularization Interspeech 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection ACML 2025 ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025 Open-Set Source Tracing of Audio Deepfake Systems Interspeech 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations AAAI 2025 Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles L4DC 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Asynchronous Perception Machine for Efficient Test Time Training NeurIPS 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NeurIPS 2024 HYPO: Hyperspherical Out-Of-Distribution Generalization ICLR 2024 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 Latent Representation Entropy Density for Distribution Shift Detection UAI 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ICLR 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ICLR 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023