Pinned

1. InterpretableMLBook-Vietnamese InterpretableMLBook-Vietnamese Public

   Bản dịch của cuốn "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable" sang tiếng Việt

   TeX 109 46

2. advanced-XAI-for-DeepLearning advanced-XAI-for-DeepLearning Public

   Here I gather promising research directions to make DNNs interpretable

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3. anguyen8/effectiveness-attribution-maps anguyen8/effectiveness-attribution-maps Public

   Data for the NeurIPS 2021 paper [The effectiveness of feature attribution methods and its correlation with automatic evaluation scores] https://arxiv.org/abs/2105.14944

   Jupyter Notebook 15 2

4. anguyen8/visual-correspondence-XAI anguyen8/visual-correspondence-XAI Public

   Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

   Jupyter Notebook 39 2

5. Why-do-we-need-XAI Why-do-we-need-XAI Public

   This gathers fatal errors of AIs in the real world and justifications why we need XAI per case

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