Takeru Miyato
Takeru Miyato
Preferred Networks, Inc.
Verified email at preferred.jp - Homepage
Title
Cited by
Cited by
Year
Spectral Normalization for Generative Adversarial Networks
T Miyato, T Kataoka, M Koyama, Y Yoshida
International Conference on Learning Representations (ICLR), 2018
11982018
Virtual adversarial training: a regularization method for supervised and semi-supervised learning
T Miyato, S Maeda, S Ishii, M Koyama
IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2019
5712019
Distributional Smoothing with Virtual Adversarial Training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
International Conference on Learning Representations (ICLR), 2016
325*2016
Adversarial Training Methods for Semi-Supervised Text Classification
T Miyato, AM Dai, I Goodfellow
International Conference on Learning Representations (ICLR), 2017
2822017
cGANs with Projection Discriminator
T Miyato, M Koyama
International Conference on Learning Representations (ICLR), 2018
1462018
Learning Discrete Representations via Information Maximizing Self Augmented Training
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
International Conference on Machine Learning (ICML), 2017
1122017
Spectral norm regularization for improving the generalizability of deep learning
Y Yoshida, T Miyato
arXiv preprint arXiv:1705.10941, 2017
752017
Robustness to adversarial perturbations in learning from incomplete data
A Najafi, S Maeda, M Koyama, T Miyato
Advances in Neural Information Processing Systems, 5541-5551, 2019
202019
Neural multi-scale image compression
KM Nakanishi, S Maeda, T Miyato, D Okanohara
Asian Conference on Computer Vision, 718-732, 2018
102018
Spatially controllable image synthesis with internal representation collaging
R Suzuki, M Koyama, T Miyato, T Yonetsuji, H Zhu
arXiv preprint arXiv:1811.10153, 2018
5*2018
Synthetic Gradient Methods with Virtual Forward-Backward Networks
T Miyato, D Okanohara, S Maeda, K Masanori
Workshop on International Conference on Learning Representations (ICLR), 2017
12017
Apparatus and method for editing data and program
R Suzuki, T Miyato, T Yonetsuji
US Patent App. 16/682,047, 2020
2020
Data discriminator training method, data discriminator training apparatus, non-transitory computer readable medium, and training method
T Miyato
US Patent App. 16/726,153, 2020
2020
Image generation method, image generation apparatus, and image generation program
T Miyato
US Patent App. 16/171,200, 2019
2019
Unsupervised Discrete Representation Learning
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 97-119, 2019
2019
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression
K Nakanishi, S Maeda, T Miyato, M Koyama
2018
Parameter Reference Loss for Unsupervised Domain Adaptation
J Jin, RG Calland, T Miyato, BK Vogel, H Nakayama
arXiv preprint arXiv:1711.07170, 2017
2017
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Articles 1–17