BeenKim / MMD-criticLinks
☆134Updated 5 years ago
Alternatives and similar repositories for MMD-critic
Users that are interested in MMD-critic are comparing it to the libraries listed below
Sorting:
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠(ICLR 2019)☆128Updated 3 years ago
- ☆124Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- Experiments for AAAI anchor paper☆63Updated 7 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- ☆51Updated 4 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆175Updated 2 years ago
- ☆100Updated 7 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 3 years ago
- ☆111Updated 2 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆31Updated 5 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- Interpretation of Neural Network is Fragile☆36Updated last year
- python tools to check recourse in linear classification☆76Updated 4 years ago
- ☆50Updated 2 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- ☆14Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆29Updated 4 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago