IMPACTX adds XAI-derived attention maps as a training constraint on standard CNNs, raising accuracy on CIFAR-10/100 and STL-10 while embedding feature attributions directly in the model.
Pruning by explaining: A novel criterion for deep neural network pruning
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IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
IMPACTX adds XAI-derived attention maps as a training constraint on standard CNNs, raising accuracy on CIFAR-10/100 and STL-10 while embedding feature attributions directly in the model.