2 papers
cs.LG2024
Deep Model Interpretation with Limited Data : A Coreset-based Approach
Hamed Behzadi-Khormouji, José Oramas
Model Interpretation aims at the extraction of insights from the internals of a trained model. A common approach to address this task is the characterization of relevant features i…
cs.CV2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi-Khormouji, José Oramas
With the continue development of Convolutional Neural Networks (CNNs), there is a growing concern regarding representations that they encode internally. Analyzing these internal re…