batmanlab / Explanation_by_Progressive_ExaggerationLinks
Explanation by Progressive Exaggeration
☆20Updated 2 years ago
Alternatives and similar repositories for Explanation_by_Progressive_Exaggeration
Users that are interested in Explanation_by_Progressive_Exaggeration are comparing it to the libraries listed below
Sorting:
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- ☆46Updated 4 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆68Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆25Updated 2 years ago
- ☆18Updated 5 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 2 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated 2 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 3 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆33Updated 10 months ago
- Code for the paper https://arxiv.org/abs/2003.00827☆105Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Dermatology dataset composed of a diagnosis and seven-point checklist criteria labels☆90Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated last year
- A method to generate counterfactuals☆12Updated 6 months ago
- A collection of self-supervised papers in medical imaging.☆40Updated 4 years ago
- Information Bottlenecks for Attribution☆81Updated 2 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆105Updated 3 years ago
- Gifsplanation - Explaining neural networks with gifs!☆27Updated last year
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆62Updated 5 months ago
- Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution☆16Updated 2 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆48Updated 9 months ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆12Updated last year
- Basic LRP implementation in PyTorch☆171Updated last year
- CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions☆20Updated 2 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- ☆38Updated 4 years ago
- Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'☆24Updated 2 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago