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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

Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation ICCV 2021
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction ICCV 2021
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021
A General Framework For Detecting Anomalous Inputs to DNN Classifiers ICML 2021
Automatic Open-World Reliability Assessment WACV 2021
Density of States Estimation for Out of Distribution Detection AISTATS 2021
Latent Derivative Bayesian Last Layer Networks AISTATS 2021
MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021
Domain Adaptive Image-to-Image Translation CVPR 2020
Confidence-Aware Learning for Deep Neural Networks ICML 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness ICML 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
Robust Learning Through Cross-Task Consistency CVPR 2020
Deep Residual Flow for Out of Distribution Detection CVPR 2020
Flows for simultaneous manifold learning and density estimation NIPS 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks MIDL 2020
Improving Confidence Estimates for Unfamiliar Examples CVPR 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features NIPS 2020
Background Data Resampling for Outlier-Aware Classification CVPR 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NIPS 2020
Energy-based Out-of-distribution Detection NIPS 2020