dtak / rrrLinks
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
Sorting:
- Supervised Local Modeling for Interpretability☆29Updated 6 years ago
- ☆134Updated 5 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
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆36Updated 4 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
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆45Updated last year
- ☆14Updated last year
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆81Updated 11 months ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 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
- Interpretation of Neural Network is Fragile☆36Updated last year
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 3 years ago
- ☆124Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- ☆62Updated 4 years ago
- ☆35Updated last year
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 3 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- ☆51Updated 4 years ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Updated last year
- Self-Explaining Neural Networks☆42Updated 5 years ago