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Out-of-Distribution Detection

161 directly classified papers

Papers per year

Papers

Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023
Decoupling MaxLogit for Out-of-Distribution Detection CVPR 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects CVPR 2023
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023
A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Debias NLU Datasets via Training-free Perturbations EMNLP 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NIPS 2023
Window-Based Distribution Shift Detection for Deep Neural Networks NIPS 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NIPS 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NIPS 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NIPS 2023
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
A Theoretical Study on Solving Continual Learning NIPS 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022