out-of-distribution detection

Packed Ensembles for efficient uncertainty estimation ICLR 2023 PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications EMNLP 2023 Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NeurIPS 2023 Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023 RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023 READ: Aggregating Reconstruction Error into Out-of-Distribution Detection AAAI 2023 Red Teaming Deep Neural Networks with Feature Synthesis Tools NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Reliability in Semantic Segmentation: Are We on the Right Track? CVPR 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023 Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need CVPR 2023 Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One ICCV 2023 Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection ICCV 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models NeurIPS 2023 SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes ICCV 2023 Segmenting Known Objects and Unseen Unknowns without Prior Knowledge ICCV 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations IJCAI 2023 Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023