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2 results for dataView

The paper explores methods to explain decisions of deep learning models by faithfully reproducing their training data views.

problem Explaining decisions of complex deep learning models trained on large datasets.
method Data view extraction through hill-climbing and GAN-driven approaches, followed by creation of shadow models for explanation.
result Shadow models based on faithfully reproduced data views are effective for explaining decisions of blackbox deep learning models.