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Found 2 papers, 2 papers with code
Q-SENN: Quantized Self-Explaining Neural Networks
Explanations in Computer Vision are often desired, but most Deep Neural Networks can only provide saliency maps with questionable faithfulness.
Ranked #1 on
Interpretable Machine Learning
on CUB-200-2011
Take 5: Interpretable Image Classification with a Handful of Features
We argue that a human can only understand the decision of a machine learning model, if the features are interpretable and only very few of them are used for a single decision.
Ranked #2 on
Interpretable Machine Learning
on CUB-200-2011
Fine-Grained Image Classification
Interpretable Machine Learning
