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Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe
It has long been speculated that deep neural networks function by discovering a hierarchical set of domain-specific core concepts or patterns, which are further combined to recognize even more elaborate concepts for the classification or other machine learning tasks.
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