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Uncertainty Quantification
663 directly classified papers
Papers per year
2004: 1
2006: 1
2007: 1
2012: 2
2013: 4
2014: 7
2015: 1
2016: 1
2017: 5
2018: 13
2019: 27
2020: 63
2021: 50
2022: 88
2023: 109
2024: 143
2025: 144
2026: 3
Papers
Probabilistic Iterative Methods for Linear Systems
JMLR 2021
Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction
JMLR 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
ICML 2021
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
MIDL 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
EMNLP 2021
Uncertainty-Aware Machine Translation Evaluation
EMNLP 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
EMNLP 2021
Types of Out-of-Distribution Texts and How to Detect Them
EMNLP 2021
Conformal prediction interval for dynamic time-series
ICML 2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization
INTERSPEECH 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
ICML 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations
AISTATS 2021
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
AAAI 2020
Correcting Predictions for Approximate Bayesian Inference
AAAI 2020
Model-Based Diagnosis with Uncertain Observations
AAAI 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
AISTATS 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
AISTATS 2020
Flexible distribution-free conditional predictive bands using density estimators
AISTATS 2020
Bayesian Reinforcement Learning via Deep, Sparse Sampling
AISTATS 2020
Fairness Evaluation in Presence of Biased Noisy Labels
AISTATS 2020
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
AISTATS 2020
Non-Parametric Calibration for Classification
AISTATS 2020
On the Uncertainty of Self-Supervised Monocular Depth Estimation
CVPR 2020
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment
CVPR 2020
Multi-Hypothesis Machine Translation Evaluation
ACL 2020
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