Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng +5

Convolutional neural networks (CNNs) have been successfully used in a range of tasks. However, CNNs are often viewed as "black-box" and lack of interpretability. One main reason is…