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

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection CVPR 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning CVPR 2023
A Causal View of Entity Bias in (Large) Language Models EMNLP 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models NIPS 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NIPS 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection NIPS 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation NIPS 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NIPS 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NIPS 2023
Hyperdimensional Feature Fusion for Out-of-Distribution Detection WACV 2023
Heatmap-Based Out-of-Distribution Detection WACV 2023
Meta OOD Learning For Continuously Adaptive OOD Detection ICCV 2023
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes ICCV 2023
ETran: Energy-Based Transferability Estimation ICCV 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning CORL 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features EACL 2023
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow UAI 2023
Diversity-enhanced probabilistic ensemble for uncertainty estimation UAI 2023
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection CVPR 2022
Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NIPS 2022