yding5 / AdaptiveBinning
Adaptive-binning for evaluation of confidence calibration
☆12Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for AdaptiveBinning
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆30Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Updated 5 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
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆11Updated 5 months ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- Code for experiments to learn uncertainty☆30Updated last year
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 7 months ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Quantile risk minimization☆24Updated 3 months ago
- ☆34Updated 4 years ago
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆14Updated 8 months ago
- Visual Explanation using Uncertainty based Class Activation Maps☆21Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- ☆20Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆21Updated 4 years ago
- Survey for Distribution Shift☆18Updated 3 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆41Updated 4 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- ☆46Updated 4 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆34Updated last year
- Code For Unsupervised Adversarial Image Inpaiting paper☆11Updated 5 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆23Updated 4 years ago
- ☆38Updated 5 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆15Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago