dtak / rrr
Code/figures in Right for the Right Reasons
☆55Updated 4 years ago
Alternatives and similar repositories for rrr:
Users that are interested in rrr are comparing it to the libraries listed below
- ☆133Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠(ICLR 2019)☆128Updated 3 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- ☆62Updated 3 years ago
- ☆50Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆50Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆52Updated 2 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated 6 months ago
- ☆34Updated 3 years ago
- Interpretation of Neural Network is Fragile☆36Updated 9 months ago
- ☆14Updated 10 months ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆59Updated 6 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Updated 7 months ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 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
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆49Updated 3 years ago
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆43Updated last year
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 years ago
- ☆54Updated 4 years ago
- ☆124Updated 3 years ago
- ☆38Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆74Updated 7 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- Python package for evaluating model calibration in classification☆19Updated 5 years ago
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year