Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
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-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
Provable Guarantees for Understanding Out-of-Distribution Detection
AAAI 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
AAAI 2022
Fair Conformal Predictors for Applications in Medical Imaging
AAAI 2022
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
AACL 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
AAAI 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
ICML 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
ACL 2022
Calibration of Machine Reading Systems at Scale
ACL 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
UAST: Uncertainty-Aware Siamese Tracking
ICML 2022
Probability Paths and the Structure of Predictions over Time
NIPS 2021
Online Selective Classification with Limited Feedback
NIPS 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
NIPS 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Hierarchical VAEs Know What They Don’t Know
ICML 2021
Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
CVPR 2021
Post-Hoc Uncertainty Calibration for Domain Drift Scenarios
CVPR 2021
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
CVPR 2021
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching
ICCV 2021
Masksembles for Uncertainty Estimation
CVPR 2021
Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract)
IJCAI 2021
Weakly-supervised Temporal Action Localization by Uncertainty Modeling
AAAI 2021
Human Uncertainty Inference via Deterministic Ensemble Neural Networks
AAAI 2021
<
1
…
19
20
21
…
27
>