1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2021
An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
Makoto Takamoto, Yusuke Morishita
It is well-known that training of generative adversarial networks (GANs) requires huge iterations before the generator's providing good-quality samples. Although there are several…
cs.LG2020★ 1 cited
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation
Makoto Takamoto, Yusuke Morishita, Hitoshi Imaoka
Compressing deep neural network (DNN) models becomes a very important and necessary technique for real-world applications, such as deploying those models on mobile devices. Knowled…