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uncertainty estimation

769 papers

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Papers

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation AAAI 2022 Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation IJCAI 2022 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022 Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction Interspeech 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NeurIPS 2022 VICE: Variational Interpretable Concept Embeddings 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 Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021 Active Learning for Lane Detection: A Knowledge Distillation Approach ICCV 2021 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021 Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion Interspeech 2021 Alignment Attention by Matching Key and Query Distributions NeurIPS 2021 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021 Bayesian Adaptation for Covariate Shift NeurIPS 2021 Bayesian Attention Belief Networks ICML 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Deep Basis Fitting for Depth Completion With Uncertainty ICCV 2021 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021 Bounded-cost Search Using Estimates of Uncertainty IJCAI 2021 Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021 Can multi-label classification networks know what they don’t know? NeurIPS 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021