Ryuichiro Hataya, and Hideki Nakayama, “LOL: Learning To Optimize Loss Switching Under Label Noise”, International Conference on Image Processing, 2019.
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, and Hideki Nakayama, “Meta Approach to Data Augmentation Optimization”, 2020. arXiv
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, and Ryuji Hamamoto, “Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval.” Machine Learning for Health Workshop at NeurIPS 2020. (Peer Reviewed, Extended Abstract)
Ryuichiro Hataya, Kumiko Matsui, Tomoki Karasawa, “Learning to Identify Large Fossils using Deep Convolutional Neural Networks”, Geological Society of America Abstracts with Programs. Vol 52, No. 6, 2020.
Other Research Activities
Research Project of Differentiable Data Augmentation for Image Recognition, Overseas Challenge Program for Young Researchers by JSPS, ¥1.4M, 2021.
Research Project of Interactive Image Generation, Microsoft Research Asia Collaborative Research Program (D-CORE 2021) by MSRA, ¥1.0M, 2021.
Research Project of Inclusive Image Recognition, Sprouting Research RA’s in Value Exchange Engineering by RIISE@UTokyo, ¥2.0M, 2020~2022.
Best Student Paper Award, The 23rd Meeting on Image Recognition and Understanding, 2020.
Organizer of NeurIPS meetup Japan & Women in ML, 2020.