out-of-distribution detection

Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models ICCV 2023 Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder CVPR 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 Diversity-enhanced probabilistic ensemble for uncertainty estimation UAI 2023 Dream the Impossible: Outlier Imagination with Diffusion Models NeurIPS 2023 Efficient Out-of-Domain Detection for Sequence to Sequence Models ACL 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 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 ETran: Energy-Based Transferability Estimation ICCV 2023 Expert load matters: operating networks at high accuracy and low manual effort NeurIPS 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Extremely Simple Activation Shaping for Out-of-Distribution Detection ICLR 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features EACL 2023 Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data AISTATS 2023 FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023 Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023 GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection NeurIPS 2023 Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NeurIPS 2023 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 GVdoc - Graph-based Visual DOcument Classification ACL 2023