uncertainty quantification

Hierarchical Uncertainty Exploration via Feedforward Posterior Trees NeurIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model NeurIPS 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Identifying Homogeneous and Interpretable Groups for Conformal Prediction UAI 2024 I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token NeurIPS 2024 Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Improved Active Learning via Dependent Leverage Score Sampling ICLR 2024 Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024 Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity NeurIPS 2024 Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NeurIPS 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024 Label Noise Robustness of Conformal Prediction JMLR 2024 Label-wise Aleatoric and Epistemic Uncertainty Quantification UAI 2024 Language Model Cascades: Token-Level Uncertainty And Beyond ICLR 2024 Large language model validity via enhanced conformal prediction methods NeurIPS 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024