Uncertainty Quantification
98 papers
Papers per year
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6
8
5
11
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14
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26
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'25
Papers
Similarity-Navigated Conformal Prediction for Graph Neural Networks
NeurIPS 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation
CVPR 2024
Uncertainty-Aware GAN for Single Image Super Resolution
AAAI 2024
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
EMNLP 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
ACL 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
CVPR 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
AAAI 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NeurIPS 2023
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
ICLR 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
NeurIPS 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
ICLR 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
EMNLP 2023
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
ICLR 2023
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
AAAI 2022
Contour-Hugging Heatmaps for Landmark Detection
CVPR 2022
Deep Hybrid Models for Out-of-Distribution Detection
CVPR 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization
WACV 2022
Evidential Turing Processes
ICLR 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
NeurIPS 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
AAAI 2022
Improving Evidential Deep Learning via Multi-Task Learning
AAAI 2022
Out of Distribution Detection via Neural Network
Anchoring
ACML 2022
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification
ACL 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
ICLR 2022