385 citations · 1.5k across the 36 of their papers we have counts for
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cs.CV2017★ 45 cited
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou, David Bau, Aude Oliva +1
The success of recent deep convolutional neural networks (CNNs) depends on learning hidden representations that can summarize the important factors of variation behind the data. Ho…
cs.CV2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau, Bolei Zhou, Aditya Khosla +2
We propose a general framework called Network Dissection for quantifying the interpretability of latent representations of CNNs by evaluating the alignment between individual hidde…