conftrace_

ood detection

45 papers

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Co-occurring keywords

out-of-distribution detection (617) distribution shift (722) covariate shift (157) domain generalization (1522) representation learning (6206) neural network (6616) energy score (12) uncertainty estimation (648) zero-shot learning (3650) graph neural network (3962)

Papers

Beyond Confidence: Reliable Models Should Also Consider Atypicality NIPS 2023
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text ACL 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023
Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NIPS 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NIPS 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples ACL 2023
Holistic Sentence Embeddings for Better Out-of-Distribution Detection EMNLP 2022
Density-driven Regularization for Out-of-distribution Detection NIPS 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
Trustworthy Long-Tailed Classification CVPR 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022
Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning CORL 2021
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data NIPS 2021
Can multi-label classification networks know what they don’t know? NIPS 2021
Improved Contrastive Divergence Training of Energy-Based Models ICML 2021
Energy-based Out-of-distribution Detection NIPS 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NIPS 2020
Likelihood Ratios for Out-of-Distribution Detection NIPS 2019