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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NIPS 2024
Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
Faster Recalibration of an Online Predictor via Approachability AISTATS 2024
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration CVPR 2024
Boosted Conformal Prediction Intervals NIPS 2024
Towards Uncertainty-Aware Language Agent ACL 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 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
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Neural Conditional Probability for Uncertainty Quantification NIPS 2024
Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity NIPS 2024