Trustworthy-ML-Lab/Label-free-CBM

[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

语言：Jupyter Notebook · GitHub 星标：147 · Fork：37

话题：computer-vision · deep-learning · deep-neural-networks · interpretability · interpretable-deep-learning

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