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ood detection

61 papers

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Co-occurring keywords · papers mentioning both

out-of-distribution detection (38) distribution shift (7) covariate shift (5) graph neural network (4) uncertainty estimation (4) domain generalization (4) representation learning (4) neural network (3) energy score (3) generative model (3)

Papers

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Holistic Sentence Embeddings for Better Out-of-Distribution Detection EMNLP 2022 Trustworthy Long-Tailed Classification CVPR 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 Can multi-label classification networks know what they don’t know? NeurIPS 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data NeurIPS 2021 Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning CoRL 2021 Energy-based Out-of-distribution Detection NeurIPS 2020 Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NeurIPS 2020 Likelihood Ratios for Out-of-Distribution Detection NeurIPS 2019