uncertainty calibration

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Residual Deep Gaussian Processes on Manifolds ICLR 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025 AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images ICLR 2024 CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving AAAI 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator ECCV 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning ICML 2024 Revisiting Kernel Attention with Correlated Gaussian Process Representation UAI 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 Uncertainty Calibration for Tool-Using Language Agents EMNLP 2024 Calibrating Transformers via Sparse Gaussian Processes ICLR 2023 Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks UAI 2023 Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NeurIPS 2023 On the Pitfall of Mixup for Uncertainty Calibration CVPR 2023 On the role of model uncertainties in Bayesian optimisation UAI 2023 On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study EMNLP 2023 Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR 2023