conftrace_

out-of-distribution detection

617 papers

Explore in graph

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

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection NIPS 2021
Neural Bootstrapper NIPS 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data NIPS 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NIPS 2021
Structured Dropout Variational Inference for Bayesian Neural Networks NIPS 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NIPS 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models ICML 2021
Characterizing Structural Regularities of Labeled Data in Overparameterized Models ICML 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021
Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021
MASKER: Masked Keyword Regularization for Reliable Text Classification AAAI 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021
Disentangled Information Bottleneck AAAI 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models AAAI 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning ICCV 2021
CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue ICCV 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
The OOD Blind Spot of Unsupervised Anomaly Detection MIDL 2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection EMNLP 2021
Towards Discovery and Attribution of Open-World GAN Generated Images ICCV 2021
Deep Metric Learning for Open World Semantic Segmentation ICCV 2021