Hierarchical interpretations for neural network predictions

ICLR 2019 Chandan SinghW. James MurdochBin Yu

Deep neural networks (DNNs) have achieved impressive predictive performance due to their ability to learn complex, non-linear relationships between variables. However, the inability to effectively visualize these relationships has led to DNNs being characterized as black boxes and consequently limited their applications... (read more)

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