2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Importance-Aware Adaptive Dataset Distillation
Guang Li, Ren Togo, Takahiro Ogawa +1
Herein, we propose a novel dataset distillation method for constructing small informative datasets that preserve the information of the large original datasets. The development of…
cs.LG2022★ 2 cited
Gromov-Wasserstein Autoencoders
Nao Nakagawa, Ren Togo, Takahiro Ogawa +1
Variational Autoencoder (VAE)-based generative models offer flexible representation learning by incorporating meta-priors, general premises considered beneficial for downstream tas…