uncertainty estimation

Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023 Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NeurIPS 2023 Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching ICCV 2023 Uncertainty Guided Global Memory Improves Multi-Hop Question Answering EMNLP 2023 Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction ACL 2023 Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023 Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging ICCV 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NeurIPS 2023 Weighted Ensemble Self-Supervised Learning ICLR 2023 What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? ICLR 2023 Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023 360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning NeurIPS 2022 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models NAACL 2022 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022 A geometric method for improved uncertainty estimation in real-time UAI 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 Azimuth: Systematic Error Analysis for Text Classification EMNLP 2022 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness ICML 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 CARD: Classification and Regression Diffusion Models NeurIPS 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Confidence Histograms for Model Reliability Analysis and Temperature Calibration MIDL 2022