KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training

Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega +2

This paper proposes a method for hiding the least-important samples during the training of deep neural networks to increase efficiency, i.e., to reduce the cost of training. Using…