Sulam-Group / h-shap
h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for h-shap
- An Empirical Framework for Domain Generalization In Clinical Settings☆27Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆41Updated last year
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated 8 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- TorchEsegeta: Interpretability and Explainability pipeline for PyTorch☆19Updated 9 months ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- AutoML Two-Sample Test☆19Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆30Updated 7 months ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆53Updated last year
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated 9 months ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)☆9Updated last year
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆59Updated last year
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated 6 months ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆25Updated 5 months ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- Resources for Machine Learning Explainability☆68Updated 2 months ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- A benchmark for distribution shift in tabular data☆44Updated 5 months ago
- ☆17Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated 9 months ago
- ☆18Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago