| Spectral Normalization for Generative Adversarial Networks T Miyato, T Kataoka, M Koyama, Y Yoshida International Conference on Learning Representations (ICLR), 2018 | 3171 | 2018 |
| 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 | 1663 | 2019 |
| Adversarial Training Methods for Semi-Supervised Text Classification T Miyato, AM Dai, I Goodfellow International Conference on Learning Representations (ICLR), 2017 | 717 | 2017 |
| Distributional Smoothing with Virtual Adversarial Training T Miyato, S Maeda, M Koyama, K Nakae, S Ishii International Conference on Learning Representations (ICLR), 2016 | 471 | 2016 |
| cGANs with Projection Discriminator T Miyato, M Koyama International Conference on Learning Representations (ICLR), 2018 | 386 | 2018 |
| 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 | 297 | 2017 |
| Spectral norm regularization for improving the generalizability of deep learning Y Yoshida, T Miyato arXiv preprint arXiv:1705.10941, 2017 | 197 | 2017 |
| Robustness to adversarial perturbations in learning from incomplete data A Najafi, S Maeda, M Koyama, T Miyato Advances in Neural Information Processing Systems 32, 2019 | 79 | 2019 |
| Spatially controllable image synthesis with internal representation collaging R Suzuki, M Koyama, T Miyato, T Yonetsuji, H Zhu arXiv preprint arXiv:1811.10153, 2018 | 24* | 2018 |
| Neural multi-scale image compression KM Nakanishi, S Maeda, T Miyato, D Okanohara Asian Conference on Computer Vision, 718-732, 2018 | 23 | 2018 |
| Image generation method, image generation apparatus, and image generation program T Miyato US Patent 11,048,999, 2021 | 2 | 2021 |
| Contrastive Representation Learning with Trainable Augmentation Channel M Koyama, K Minami, T Miyato, Y Gal arXiv preprint arXiv:2111.07679, 2021 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 2017 |
| Image generation method, image generation apparatus, and image generation program T Miyato US Patent App. 17/336,959, 2021 | | 2021 |
| DATA DISCRIMINATOR LEARNING PROCESS, DATA DISCRIMINATOR LEARNING DEVICE, PROGRAM, AND LEARNING PROCESS T MIYATO | | 2021 |
| Apparatus and method for editing data and program R Suzuki, T Miyato, T Yonetsuji US Patent App. 16/682,047, 2020 | | 2020 |
| 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 |
Masanori KoyamaPreferred Networks確認したメール アドレス: preferred.jp
