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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 113 44

2. 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 17 2

3. 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 43 1

4. 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

   3

5. PCNN-src-code-TMRL2024 PCNN-src-code-TMRL2024 Public

   Official code for TMLR2024 paper PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans | https://openreview.net/pdf?id=OcFjqiJ98b

   Python 6