1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Error-controlled non-additive interaction discovery in machine learning models
Winston Chen, Yifan Jiang, William Stafford Noble +1
Machine learning (ML) models are powerful tools for detecting complex patterns within data, yet their "black box" nature limits their interpretability, hindering their use in criti…
cs.LG2023★ 1 cited
DeepROCK: Error-controlled interaction detection in deep neural networks
Winston Chen, William Stafford Noble, Yang Young Lu
The complexity of deep neural networks (DNNs) makes them powerful but also makes them challenging to interpret, hindering their applicability in error-intolerant domains. Existing…
cs.LG2020★ 1 cited
DANCE: Enhancing saliency maps using decoys
Yang Lu, Wenbo Guo, Xinyu Xing +1
Saliency methods can make deep neural network predictions more interpretable by identifying a set of critical features in an input sample, such as pixels that contribute most stron…