JAEarly / MILLI
Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".
☆13Updated 3 years ago
Alternatives and similar repositories for MILLI:
Users that are interested in MILLI are comparing it to the libraries listed below
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆34Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- ☆17Updated 6 years ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆23Updated 2 years ago
- ☆29Updated 3 years ago
- ☆46Updated 4 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Code for the paper "Fuzzy c-Means Clustering for Persistence Diagrams"☆14Updated last year
- B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks☆18Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 3 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 9 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- ☆19Updated last year
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 2 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- TorchEsegeta: Interpretability and Explainability pipeline for PyTorch☆20Updated 11 months ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆38Updated 2 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- ☆30Updated 3 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 7 years ago