eXplainable Machine Learning
Graduate course, University of Warsaw, MIM, 2023
Course materials are at https://github.com/mim-uw/eXplainableMachineLearning-2024
Meetings
Plan for the winter semester 2023/2024. MIM_UW classes are on Fridays.
- 2023-10-06 – Introduction, Slides. Extra reading: Lipton 2017, Rudin 2019
- 2023-10-13 – Fairness, Slides, Extra reading: Fairness and ML, Cirillo 2020
- 2023-10-20 – LIME and friends, Slides, Extra reading: Why Should I Trust You?, LORE
- 2023-10-27 – SHAP and friends, Slides, Extra reading: General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models, Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
- 2023-10-30 – PROJECT: First checkpoint (remote video)
- 2023-11-10 – PDP and friends, Slides, Extra reading: AlePlot, Peeking Inside the Black Box
- 2023-11-17 – VIP / MCR Slides, Extra reading: The Two Cultures, More models, Rashomon quartet
- 2023-11-24 – Explanations specific to neural networks Slides & Evaluation of explanations Slides,
- 2023-12-01 – From local explanations to global understanding, prof. Wojciech Samek
- 2023-12-08 – PROJECT: Second checkpoint (remote video)
- 2023-12-15 – Adversarial XAI
- 2024-01-12 – Student presentations of research papers
- 2024-01-19 – XAI-Based Model Debugging, prof. Wojciech Samek
- 2024-01-26 – PROJECT: Final presentation (in-person presentations)