out-of-distribution detection

CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction ICLR 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 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 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection ICML 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NeurIPS 2024 DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval Interspeech 2024 DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers NeurIPS 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NeurIPS 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NeurIPS 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ICLR 2024 EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024