Awesome-explainable-AI
Explainability library
A curated collection of research materials on explainable AI/ML, providing insights into techniques and methods for improving model interpretability.
A collection of research materials on explainable AI/ML
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last commit: 25 days ago
Linked from 3 awesome lists
counterfactual-explanationsexplainable-aiexplanation-systeminterpretabilityinterpretable-airecoursexaixml
Awesome-explainable-AI / Papers | |||
1. Transparent Model Design | 1,422 | 25 days ago | |
2. Post-Explanation | 1,422 | 25 days ago | |
Awesome-explainable-AI / Papers / 2. Post-Explanation | |||
2.1 Model Explanation(Model-level) | 1,422 | 25 days ago | |
2.2 Model Inspection | 1,422 | 25 days ago | |
2.3 Outcome Explanation | 1,422 | 25 days ago | |
Awesome-explainable-AI / Papers / 2. Post-Explanation / 2.3 Outcome Explanation | |||
2.3.1 Feature Attribution/Importance(Saliency Map) | 1,422 | 25 days ago | |
Awesome-explainable-AI / Papers / 2. Post-Explanation | |||
2.4 Neuron Importance | 1,422 | 25 days ago | |
2.5 Example-based Explanations | 1,422 | 25 days ago | |
Awesome-explainable-AI / Papers / 2. Post-Explanation / 2.5 Example-based Explanations | |||
2.5.1 Counterfactual Explanations(Recourse) | 1,422 | 25 days ago | |
2.5.2 Influential Instances | 1,422 | 25 days ago | |
2.5.3 Prototypes&Criticisms | 1,422 | 25 days ago |