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Uncertainty Quantification

98 papers

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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