yding5 / AdaptiveBinning
Adaptive-binning for evaluation of confidence calibration
☆12Updated 5 years ago
Alternatives and similar repositories for AdaptiveBinning:
Users that are interested in AdaptiveBinning are comparing it to the libraries listed below
- Code for experiments to learn uncertainty☆30Updated last year
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Updated 5 years ago
- ☆34Updated 4 years ago
- ☆24Updated 5 years ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆11Updated 8 months ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 9 months ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆33Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆43Updated 3 years ago
- ☆46Updated 4 years ago
- Quantile risk minimization☆24Updated 6 months ago
- ☆9Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆19Updated 6 years ago
- Stochastic Segmentation Networks☆66Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- ☆24Updated 3 years ago
- ☆13Updated 4 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 6 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆21Updated last year
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆27Updated 9 months ago
- The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs☆16Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago