| Spectral Normalization for Generative Adversarial Networks T Miyato, T Kataoka, M Koyama, Y Yoshida International Conference on Learning Representations (ICLR), 2018 | 5650 | 2018 |
| Virtual adversarial training: a regularization method for supervised and semi-supervised learning T Miyato, S Maeda, K Masanori, S Ishii IEEE transactions on pattern analysis and machine intelligence 41 (8), 1979-1993, 2018 | 3304 | 2018 |
| Adversarial Training Methods for Semi-Supervised Text Classification T Miyato, AM Dai, I Goodfellow International Conference on Learning Representations (ICLR), 2017 | 1399 | 2017 |
| cGANs with Projection Discriminator T Miyato, M Koyama International Conference on Learning Representations (ICLR), 2018 | 670 | 2018 |
| Distributional smoothing with virtual adversarial training T Miyato, S Maeda, M Koyama, K Nakae, S Ishii arXiv preprint arXiv:1507.00677, 2015 | 583 | 2015 |
| 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 | 577 | 2017 |
| Spectral norm regularization for improving the generalizability of deep learning Y Yoshida, T Miyato arXiv preprint arXiv:1705.10941, 2017 | 403 | 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 | 143 | 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 | 49 | 2018 |
| Neural multi-scale image compression KM Nakanishi, S Maeda, T Miyato, D Okanohara Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 42 | 2019 |
| Unsupervised learning of equivariant structure from sequences T Miyato, M Koyama, K Fukumizu Advances in Neural Information Processing Systems 35, 768-781, 2022 | 14 | 2022 |
| Gta: A geometry-aware attention mechanism for multi-view transformers T Miyato, B Jaeger, M Welling, A Geiger arXiv preprint arXiv:2310.10375, 2023 | 11 | 2023 |
| Image generation method, image generation apparatus, and image generation program T Miyato US Patent 11,048,999, 2021 | 9 | 2021 |
| Data discriminator training method, data discriminator training apparatus, non-transitory computer readable medium, and training method T Miyato US Patent 11,593,663, 2023 | 7 | 2023 |
| 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 | 5 | 2017 |
| Neural fourier transform: A general approach to equivariant representation learning M Koyama, K Fukumizu, K Hayashi, T Miyato arXiv preprint arXiv:2305.18484, 2023 | 4 | 2023 |
| Generative Adversarial Network (GAN) T Miyato, M Koyama Computer Vision: A Reference Guide, 1-6, 2020 | 3 | 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 | 3 | 2019 |
| Contrastive representation learning with trainable augmentation channel M Koyama, K Minami, T Miyato, Y Gal arXiv preprint arXiv:2111.07679, 2021 | 2 | 2021 |
| Invariance-adapted decomposition and lasso-type contrastive learning M Koyama, T Miyato, K Fukumizu arXiv preprint arXiv:2210.07413, 2022 | 1 | 2022 |
Masanori KoyamaPreferred Networks確認したメール アドレス: preferred.jp
