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Methodology
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Machine Learning
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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
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
AAAI 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
AAAI 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
AAAI 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
ACL 2021
Uncertainty-aware Binary Neural Networks
IJCAI 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
CVPR 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
CVPR 2021
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
CVPR 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
IJCAI 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks
AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
AAAI 2021
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks
AAAI 2021
Improved, Deterministic Smoothing for L_1 Certified Robustness
ICML 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
ICML 2021
Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
CVPR 2021
Uncertainty-Guided Model Generalization to Unseen Domains
CVPR 2021
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
AAAI 2021
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
NIPS 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NIPS 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
NIPS 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
NIPS 2021
Conformal Bayesian Computation
NIPS 2021
Relative Uncertainty Learning for Facial Expression Recognition
NIPS 2021
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks
AAAI 2021
QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task
EMNLP 2021
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