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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024
Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024
Localized Adaptive Risk Control NIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Conformal Contextual Robust Optimization AISTATS 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024