T
Takeru Miyato
Researcher at Kyoto University
Publications - 31
Citations - 9130
Takeru Miyato is an academic researcher from Kyoto University. The author has contributed to research in topics: Artificial neural network & Computer science. The author has an hindex of 17, co-authored 28 publications receiving 6928 citations.
Papers
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Proceedings Article
Spectral Normalization for Generative Adversarial Networks
TL;DR: In this paper, the authors proposed a novel weight normalization technique called spectral normalization to stabilize the training of the discriminator, which is computationally light and easy to incorporate into existing implementations.
Journal ArticleDOI
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
TL;DR: Virtual adversarial training (VAT) as discussed by the authors is a regularization method based on virtual adversarial loss, which is a measure of local smoothness of the conditional label distribution given input.
Posted Content
Spectral Normalization for Generative Adversarial Networks
TL;DR: In this article, the authors proposed a novel weight normalization technique called spectral normalization to stabilize the training of the discriminator, which is computationally light and easy to incorporate into existing implementations.
Proceedings Article
cGANs with Projection Discriminator
Takeru Miyato,Masanori Koyama +1 more
TL;DR: With this modification, the quality of the class conditional image generation on ILSVRC2012 (ImageNet) 1000-class image dataset is significantly improved and the application to super-resolution was extended and succeeded in producing highly discriminative super- resolution images.
Posted Content
Adversarial Training Methods for Semi-Supervised Text Classification
TL;DR: This work extends adversarial and virtual adversarial training to the text domain by applying perturbations to the word embeddings in a recurrent neural network rather than to the original input itself.