Author

Ioannis Mademlis

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Review Open access Sep 2026

Quantifying the Knowledge in Deep Neural Networks: An Overview

The purpose of this survey is to review the concept of DNN knowledge quantification and highlight it as an important near-future challenge, and to provide a brief account of the scant existing methods attempting to actually quantify DNN knowledge.

Ioanna Valsamara, Ioannis Mademlis, Ioannis Pitas · ACM Computing Surveys · 0 citations

Review Open access Sep 2026

Quantifying the Knowledge in Deep Neural Networks: An Overview

Deep Neural Networks (DNNs) have proven to be extremely effective at learning a wide range of tasks. Due to their complexity and inexplicable internal state, DNNs are difficult to analyze. Several attempts to interpret their operation have been made, but analyzing them from the perspective of the knowledge encoded in t...

Ioanna Valsamara, Ioannis Mademlis, Ioannis Pitas · ACM Computing Surveys · 0 citations