Improving Network Interpretability via Explanation Consistency Evaluation

Hefeng Wu, Hao Jiang, Keze Wang +3

While deep neural networks have achieved remarkable performance, they tend to lack transparency in prediction. The pursuit of greater interpretability in neural networks often resu…