Skip to content
conftrace_

Out-of-Distribution Detection

176 papers

1
1
4
5
12
15
31
37
40
25
5
'20
'25

Papers

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 Debias NLU Datasets via Training-free Perturbations EMNLP 2023 Deconstructing Distributions: A Pointwise Framework of Learning ICLR 2023 Decoupling MaxLogit for Out-of-Distribution Detection CVPR 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NeurIPS 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 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 Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023 Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023 “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ACL 2023 Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics ICLR 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NeurIPS 2023 On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NeurIPS 2023 OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023 PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023