118 citations · 168 across the 13 of their papers we have counts for
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cs.CV2022★ 2 cited
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde, Maximilian Dreyer, Leander Weber +5
With a growing interest in understanding neural network prediction strategies, Concept Activation Vectors (CAVs) have emerged as a popular tool for modeling human-understandable co…
cs.CV2020★ 31 cited
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber +2
Integrated Gradients as an attribution method for deep neural network models offers simple implementability. However, it suffers from noisiness of explanations which affects the ea…