conftrace_

out-of-distribution detection

617 papers

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Also known as

OODD OOD DETECTION

Co-occurring keywords

uncertainty quantification (1393) distribution shift (722) uncertainty estimation (648) anomaly detection (747) neural network (6616) ood detection (45) generative model (2892) representation learning (6206) domain generalization (1522) contrastive learning (4032)

Papers

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection ICCV 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis ICCV 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective ICCV 2023
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance INTERSPEECH 2023
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract) AAAI 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023
GVdoc - Graph-based Visual DOcument Classification ACL 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023
Efficient Out-of-Domain Detection for Sequence to Sequence Models ACL 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder CVPR 2023
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need CVPR 2023
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023
Towards Bridging the Performance Gaps of Joint Energy-Based Models CVPR 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NIPS 2023
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning NIPS 2023