Uncertainty Quantification

Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation AAAI 2022 Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022 Fair Conformal Predictors for Applications in Medical Imaging AAAI 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 Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET AACL 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees NeurIPS 2022 Introspective Learning : A Two-Stage approach for Inference in Neural Networks NeurIPS 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NeurIPS 2022 Learning Confidence for Transformer-based Neural Machine Translation ACL 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022 Modular Conformal Calibration ICML 2022 Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022 Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022 NOMU: Neural Optimization-based Model Uncertainty ICML 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NeurIPS 2022 Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 On the Practicality of Deterministic Epistemic Uncertainty ICML 2022 On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NeurIPS 2022 Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022