uncertainty quantification

An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024 An Online Bootstrap for Time Series AISTATS 2024 API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access EMNLP 2024 A Rate-Distortion View of Uncertainty Quantification ICML 2024 Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NeurIPS 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Interspeech 2024 A Study on the Calibration of In-context Learning NAACL 2024 A Survey of Confidence Estimation and Calibration in Large Language Models NAACL 2024 A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation ICML 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification ICML 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024 Bayesian Semi-structured Subspace Inference AISTATS 2024 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 Benchmarking LLMs via Uncertainty Quantification NeurIPS 2024 Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NeurIPS 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024