106 citations · 106 across the 1 of their papers we have counts for
2 papers
stat.ML2021★ 106 cited
S-LIME: Stabilized-LIME for Model Explanation
Zhengze Zhou, Giles Hooker, Fei Wang
An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…
cs.LG2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
Jun Yang, Fei Wang
Ensembling deep learning models is a shortcut to promote its implementation in new scenarios, which can avoid tuning neural networks, losses and training algorithms from scratch. H…