Detecting Statistical Interactions from Neural Network Weights

ICLR 2018 Michael TsangDehua ChengYan Liu

Interpreting neural networks is a crucial and challenging task in machine learning. In this paper, we develop a novel framework for detecting statistical interactions captured by a feedforward multilayer neural network by directly interpreting its learned weights... (read more)

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