Satoshi Hara

Data Cleansing for Models Trained with SGD

2019 · arXiv (Cornell University)

Data cleansing is a typical approach used to improve the accuracy of machine learning models, which, however, requires extensive domain knowledge to identify the influential instances that affect the models. In this paper, we propose …