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

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NIPS 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NIPS 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NIPS 2023
Characterizing Out-of-Distribution Error via Optimal Transport NIPS 2023
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NIPS 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP EMNLP 2023
Dream the Impossible: Outlier Imagination with Diffusion Models NIPS 2023
On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NIPS 2023
Expert load matters: operating networks at high accuracy and low manual effort NIPS 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection NIPS 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NIPS 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NIPS 2023
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition AISTATS 2023
Efficient Out-of-Domain Detection for Sequence to Sequence Models ACL 2023
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools NIPS 2023
GVdoc - Graph-based Visual DOcument Classification ACL 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023
A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance INTERSPEECH 2023