253 citations · 310 across the 24 of their papers we have counts for
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cs.LG2019★ 1 cited
New Perspective of Interpretability of Deep Neural Networks
Masanari Kimura, Masayuki Tanaka
Deep neural networks (DNNs) are known as black-box models. In other words, it is difficult to interpret the internal state of the model. Improving the interpretability of DNNs is o…
cs.LG2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization
Ikuro Sato, Kohta Ishikawa, Guoqing Liu +1
This study addresses an issue of co-adaptation between a feature extractor and a classifier in a neural network. A naive joint optimization of a feature extractor and a classifier…