yding5 / AdaptiveBinningLinks
Adaptive-binning for evaluation of confidence calibration
☆12Updated 6 years ago
Alternatives and similar repositories for AdaptiveBinning
Users that are interested in AdaptiveBinning are comparing it to the libraries listed below
Sorting:
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- ☆38Updated 5 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- Quantile risk minimization☆25Updated last year
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.