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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022
On the Practicality of Deterministic Epistemic Uncertainty ICML 2022
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness ICML 2022
Deep Hierarchy in Bandits ICML 2022
Stop Measuring Calibration When Humans Disagree EMNLP 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022
D2U: Distance-to-Uniform Learning for Out-of-Scope Detection NAACL 2022
The Role of Context and Uncertainty in Shallow Discourse Parsing COLING 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
Uncertainty-Aware Deep Multi-View Photometric Stereo CVPR 2022
Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation CVPR 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering CVPR 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation CVPR 2022
Double Spike Dirichlet Priors for Structured Weighting JMLR 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NIPS 2022
Semantic uncertainty intervals for disentangled latent spaces NIPS 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NIPS 2022