65 citations · 138 across the 12 of their papers we have counts for
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cs.LG2021★ 22 cited
Scalable Rule-Based Representation Learning for Interpretable Classification
Zhuo Wang, Wei Zhang, Ning Liu +1
Rule-based models, e.g., decision trees, are widely used in scenarios demanding high model interpretability for their transparent inner structures and good model expressivity. Howe…
cs.LG2019★ 2 cited
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang, Wei Zhang, Ning Liu +1
Models with transparent inner structure and high classification performance are required to reduce potential risk and provide trust for users in domains like health care, finance,…
cs.LG2019★ 3 cited
Attentive Representation Learning with Adversarial Training for Short Text Clustering
Wei Zhang, Chao Dong, Jianhua Yin +1
Short text clustering has far-reaching effects on semantic analysis, showing its importance for multiple applications such as corpus summarization and information retrieval. Howeve…