Ryuichiro Hataya

33 papers A* 2A 2B 2Misc 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Provable Target Sample Complexity Improvements as Pre-Trained Models Scale. CoRR Kazuto Fukuchi, Ryuichiro Hataya, Kota Matsui
2025	J	`jnl`	An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration. Trans. Mach. Learn. Res. Hiroki Naganuma, Ryuichiro Hataya, Kotaro Yoshida, Ioannis Mitliagkas
2024	J	`jnl`	Automatic Domain Adaptation by Transformers in In-Context Learning. CoRR Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi
2024	J	`jnl`	Glocal Hypergradient Estimation with Koopman Operator. CoRR Ryuichiro Hataya, Yoshinobu Kawahara
2024	J	`jnl`	Quantum Circuit C CoRR Yuka Hashimoto, Ryuichiro Hataya
2024	A*	`conf`	Self-attention Networks Localize When QK-eigenspectrum Concentrates. ICML Han Bao, Ryuichiro Hataya, Ryo Karakida
2024	J	`jnl`	Self-attention Networks Localize When QK-eigenspectrum Concentrates. CoRR Han Bao, Ryuichiro Hataya, Ryo Karakida
2024	J	`jnl`	Sketch-based semantic retrieval of medical images. Medical Image Anal. Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
2023	J	`jnl`	An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration. CoRR Hiroki Naganuma, Ryuichiro Hataya
2023	J	`jnl`	MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era. CoRR Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii
2023	J	`jnl`	Noncommutative C CoRR Ryuichiro Hataya, Yuka Hashimoto
2023	J	`jnl`	Nystrom Method for Accurate and Scalable Implicit Differentiation. CoRR Ryuichiro Hataya, Makoto Yamada
2023	A	`conf`	Nyström Method for Accurate and Scalable Implicit Differentiation. AISTATS Ryuichiro Hataya, Makoto Yamada
2023	J	`jnl`	Sketch-based Medical Image Retrieval. CoRR Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
2023	—	`conf`	Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto
2023	A*	`conf`	Will Large-scale Generative Models Corrupt Future Datasets? ICCV Ryuichiro Hataya, Han Bao, Hiromi Arai
2022	B	`conf`	DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. IJCNN Ryuichiro Hataya, Hideki Nakayama
2022	A	`conf`	Meta Approach to Data Augmentation Optimization. WACV Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
2022	J	`jnl`	Will Large-scale Generative Models Corrupt Future Datasets? CoRR Ryuichiro Hataya, Han Bao, Hiromi Arai
2021	J	`jnl`	Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
2021	J	`jnl`	Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Anal. Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto
2021	J	`jnl`	Graph Energy-based Model for Substructure Preserving Molecular Design. CoRR Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe
2021	Misc	`conf`	Visualizing Association in Exemplar-Based Classification. ICASSP Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama
2020	—	`ch.`	CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. Neural Approaches to Dynamics of Signal Exchanges Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2020	J	`jnl`	Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
2020	—	`conf`	Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. ECCV (25) Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
2020	J	`jnl`	Meta Approach to Data Augmentation Optimization. CoRR Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
2020	J	`jnl`	Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. CoRR Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto
2019	J	`jnl`	CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2019	J	`jnl`	Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. CoRR Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
2019	B	`conf`	LOL: Learning To Optimize Loss Switching Under Label Noise. ICIP Ryuichiro Hataya, Hideki Nakayama
2019	J	`jnl`	USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga