| 2024 | ICML | Self-attention Networks Localize When QK-eigenspectrum Concentrates. | Han Bao, Ryuichiro Hataya, Ryo Karakida |
| 2023 | AISTATS | Nystrm Method for Accurate and Scalable Implicit Differentiation. | Ryuichiro Hataya, Makoto Yamada |
| 2023 | ICCV | Will Large-scale Generative Models Corrupt Future Datasets? | Ryuichiro Hataya, Han Bao, Hiromi Arai |
| 2023 | MICCAI | Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. | Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto |
| 2022 | IJCNN | DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. | Ryuichiro Hataya, Hideki Nakayama |
| 2022 | WACV | Meta Approach to Data Augmentation Optimization. | Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama |
| 2021 | ICASSP | Visualizing Association in Exemplar-Based Classification. | Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama |
| 2020 | ECCV | Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. | Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama |
| 2019 | ICIP | LOL: Learning To Optimize Loss Switching Under Label Noise. | Ryuichiro Hataya, Hideki Nakayama |