3 citations · 9 across the 9 of their papers we have counts for
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stat.ML2018★ 1 cited
Interpreting Layered Neural Networks via Hierarchical Modular Representation
Chihiro Watanabe
Interpreting the prediction mechanism of complex models is currently one of the most important tasks in the machine learning field, especially with layered neural networks, which h…
stat.ML2018★ 2 cited
Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition
Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino
Interpretability has become an important issue in the machine learning field, along with the success of layered neural networks in various practical tasks. Since a trained layered…
stat.ML2018★ 3 cited
Understanding Community Structure in Layered Neural Networks
Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino
A layered neural network is now one of the most common choices for the prediction of high-dimensional practical data sets, where the relationship between input and output data is c…