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

Learning to Augment Distributions for Out-of-distribution Detection NIPS 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning 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
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection NIPS 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools NIPS 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning NIPS 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NIPS 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023
Out-of-Distribution Detection Is Not All You Need AAAI 2023
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection AAAI 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization AAAI 2023
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text ACL 2023
Towards Open Environment Intent Prediction ACL 2023
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023
“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors ACL 2023
Towards Distribution-shift Robust Text Classification of Emotional Content ACL 2023
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection CVPR 2023