10 citations · 11 across the 9 of their papers we have counts for
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cs.CV2026
SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation
Ali Karkehabadi, Jamshid Hassanpour, Houman Homayoun +1
Gradient-based saliency methods are widely used to interpret deep neural networks, yet they often produce noisy and unstable explanations that poorly align with semantically meanin…
cs.CV2023★ 1 cited
SMOOT: Saliency Guided Mask Optimized Online Training
Ali Karkehabadi, Houman Homayoun, Avesta Sasan
Deep Neural Networks are powerful tools for understanding complex patterns and making decisions. However, their black-box nature impedes a complete understanding of their inner wor…
cs.CV2023
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?
Ali Karkehabadi
Deep Neural Networks are powerful tools to understand complex patterns and making decisions. However, their black-box nature impedes a complete understanding of their inner working…