Concept Whitening: Creating Interpretability for Deep Neural Networks

Concept whitening has been introduced to elaborate the inner functionalities of deep neural network

Over the past few decades, deep neural network has achieved unprecedented heights on a variety of tasks. Deep neural networks are often considered to be complex, extremely large and multi-layered. Despite their advantages, these complex layers make their interpretability difficult and sometimes impossible. The lack of interpretability in deep neural networks leads to more troublesome spots where the mechanism is judged as untrustworthy and unreliable. Instead of attempting to analyze a neural network post hoc, scientists have tried to introduce a mechanism called ‘concept whitening’ that

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