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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022
ActPerFL: Active Personalized Federated Learning ACL 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NIPS 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 2022
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NIPS 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NIPS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis AISTATS 2022
Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration CVPR 2022
The Implicit Delta Method NIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NIPS 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022
Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks INTERSPEECH 2022
Uncertainty Calibration for Deep Audio Classifiers INTERSPEECH 2022
Role of Human-AI Interaction in Selective Prediction AAAI 2022