out-of-distribution detection

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023 Heatmap-Based Out-of-Distribution Detection WACV 2023 Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection ICCV 2023 How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023 Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023 Hyperdimensional Feature Fusion for Out-of-Distribution Detection WACV 2023 Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NeurIPS 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation ICML 2023 In- or out-of-distribution detection via dual divergence estimation UAI 2023 InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning ICLR 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 Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors MIDL 2023 Large-Scale Open-Set Classification Protocols for ImageNet WACV 2023 Learnability and Algorithm for Continual Learning ICML 2023 Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NeurIPS 2023 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons CVPR 2023 LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning NeurIPS 2023 Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties UAI 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ACL 2023