predictive uncertainty

Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Generalized Measures of Anticipation and Responsivity in Online Language Processing EMNLP 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 Learning model uncertainty as variance-minimizing instance weights ICLR 2024 Memory Efficient Neural Processes via Constant Memory Attention Block ICML 2024 Neural Active Learning Meets the Partial Monitoring Framework UAI 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation ICML 2024 Querying Easily Flip-flopped Samples for Deep Active Learning ICLR 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024 Second-Order Uncertainty Quantification: A Distance-Based Approach ICML 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Variational Learning is Effective for Large Deep Networks ICML 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification ICLR 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023 Explaining Predictive Uncertainty with Information Theoretic Shapley Values NeurIPS 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? EMNLP 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NeurIPS 2023