Co-occurring keywords · papers mentioning both
Papers
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning
ACL 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
NeurIPS 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
ICCV 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
NeurIPS 2023
Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings
UAI 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
ACL 2023
A Closer Look at Few-Shot Out-of-Distribution Intent Detection
COLING 2022
AdaFocal: Calibration-aware Adaptive Focal Loss
NeurIPS 2022
Addressing Out-of-Distribution Label Noise in Webly-Labelled Data
WACV 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
NeurIPS 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
NeurIPS 2022
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
ICLR 2022
A Theoretical Study on Solving Continual Learning
NeurIPS 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection
EMNLP 2022
Being a Bit Frequentist Improves Bayesian Neural Networks
AISTATS 2022
Beyond Mahalanobis Distance for Textual OOD Detection
NeurIPS 2022
Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models
CVPR 2022
Boosting Out-of-distribution Detection with Typical Features
NeurIPS 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
ICML 2022
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
CVPR 2022
Deep Combinatorial Aggregation
NeurIPS 2022
Deep Ensembles Work, But Are They Necessary?
NeurIPS 2022
Deep Hybrid Models for Out-of-Distribution Detection
CVPR 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
NeurIPS 2022
Density-driven Regularization for Out-of-distribution Detection
NeurIPS 2022