1 citations · 1 across the 4 of their papers we have counts for
4 papers
RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
Zhen Li, Weikai Yang, Jun Yuan +6
The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing met…
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang, Yukai Guo, Jing Wu +4
Label quality issues, such as noisy labels and imbalanced class distributions, have negative effects on model performance. Automatic reweighting methods identify problematic sample…
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Changjian Chen, Yukai Guo, Fengyuan Tian +7
Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we devel…
A Unified Understanding of Deep NLP Models for Text Classification
Zhen Li, Xiting Wang, Weikai Yang +6
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed indivi…