Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions

Kenji Suzuki, Yoshiyuki Kobayashi, Takuya Narihira

Identifying the influence of training data for data cleansing can improve the accuracy of deep learning. An approach with stochastic gradient descent (SGD) called SGD-influence to…