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--- courses:xai:p2_2024 [2025/01/09 10:00] – created admin
+++ courses:xai:p2_2024 [2025/01/13 09:13] (current) – [Xai and GenAI] admin
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 Assignments marked with {{:courses:xai:winner.png?25|}} can be extended as a continution in Programming Assgnment II.
 Projects marked with {{:courses:xai:contract.png?25|}} can be (with some additional work and depending on the results) published as scientific papers.
+===== Shap on OPTUNA  =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+The goal is to run hyperparameter optimization algorithm such as optuna, collect results from it and use SHAP to try to explain the impact of different hyperparameters on the quality of the optimization process
+===== PPCF Counterfactual explainer evaluation  =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+The goal is to take: https://github.com/ofurman/counterfactuals/tree/main and evaluate it on more examples
+===== Multi-modal explanations  =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+The goal is to use LLAVA/Molmo/NVLM/LLama/VALE to build explanations for image classification.
+===== Xai and GenAI  =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+The goal is to use for instance [[https://github.com/JoaoLages/diffusers-interpret|Diffusers-Interpret]] to generate explanations for generative AI (images, other team text)