Uncertainty Quantification

Uncertainty-Aware Deep Multi-View Photometric Stereo CVPR 2022 Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022 Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NeurIPS 2022 Uncertainty Calibration for Deep Audio Classifiers Interspeech 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation AAAI 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NeurIPS 2022 UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs NeurIPS 2022 What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021 Conformal Bayesian Computation NeurIPS 2021 Conformal prediction interval for dynamic time-series ICML 2021 Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection CVPR 2021 Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition CVPR 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks AAAI 2021 Hierarchical VAEs Know What They Don’t Know ICML 2021