Interpretable Machine Learning. Overview of different methods:
- Interpretable Machine Learning Christoph Molnar
- Explanatory Model Analysis Przemyslaw Biecek, Tomasz Burzykowski
- RETAIN (Code)
- RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism (2016) Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas, Andy Schuetz, Walter F. Stewart, Jimeng Sun
- Interpreting Deep Glucose Predictive Models forDiabetic People Using RETAIN (2020) Maxime De Bois, Mounim A. El Yacoubi, Mehdi Ammi
- LIME. Local Interpretable Model-Agnostic Explanations (Code, CRAN, PyPI)
- “Why should I trust you?” Explaining the predictions of any classifier (2016) Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
- MeLIME: Meaningful Local Explanation forMachine Learning Models (2020) Tiago Botari, Frederik Hvilshøj, Rafael Izbicki, Andre C. P. L. F. de Carvalho
- Feature importance
- Model-agnostic Feature Importance and Effectswith Dependent Features – A Conditional Subgroup Approach (2020) Christoph Molnar, Gunnar Konig, Bernd Bischl, Giuseppe Casalicchio
- SHAP. Shapley Additive Exlanations (Code, PyPI)
- A Unified Approach to Interpreting ModelPredictions (2017) Scott M. Lundberg, Su-In Lee
- DeepLift. Deep Learning Important Features (Code, Video)
- Learning Important Features Through Propagating Activation Differences (2019) Avanti Shrikumar1, Peyton Greenside1, Anshul Kundaje
- TSViz
- TSViz: Demystification of Deep Learning Models for Time-Series Analysis (2018) Siddiqui S.A., Mercier D., Munir M., Dengel A., Ahmed S.
- Stop explaining black box machine learning models for high stakes decisions and use interpretablemodels instead (2019) Cynthia Rudin
- Limitations of Interpretable Machine Learning Methods (2020)
- Please Stop Permuting Features. An Explanation and Alternatives (2019) Giles Hooker, Lucas Mentch
- Attention is not Explanation (2019) Sarthak Jain, Byron C. Wallace
- Pitfalls to Avoid when Interpreting Machine Learning Models (2020) Christoph Molnar, Gunnar Konig, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bisch
- Python