Uncertainty Quantification

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 CURE: Context- and Uncertainty-Aware Mental Disorder Detection EMNLP 2024 Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models ACL 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement CVPR 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 DORY: Deliberative Prompt Recovery for LLM ACL 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024