Out-of-Distribution Detection
176 papers
Papers per year
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'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