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Methodology
← Learning Types
Machine Learning
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Learning Types
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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
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NIPS 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
NIPS 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
NIPS 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
NIPS 2022
Single Model Uncertainty Estimation via Stochastic Data Centering
NIPS 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks
NIPS 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
NIPS 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
NIPS 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks
NIPS 2022
What Makes Graph Neural Networks Miscalibrated?
NIPS 2022
CARD: Classification and Regression Diffusion Models
NIPS 2022
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
AAAI 2022
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
AAAI 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
AAAI 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
AAAI 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
AAAI 2022
EasySED: Trusted Sound Event Detection with Self-Distillation
AAAI 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
NIPS 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
NIPS 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
NIPS 2022
Learning Confidence for Transformer-based Neural Machine Translation
ACL 2022
A Risk-Averse Mechanism for Suicidality Assessment on Social Media
ACL 2022
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension
ACL 2022
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