Hello World!

I am Ryuichiro Hataya, PhD student at UTokyo, RA at RIKEN AIP, RA at RIISE at UTokyo.

Research Interests

• Weakly-supervised Learning
• Meta Learning
• Energy-based Models
• Application of DL (Medical imaging, Palaeontology)

News

• My research proposal has been accepted in JSPS’s travel grant.
• My research proposals have been accepted by Microsoft Research Asia, and RIISE at UTokyo.
• We organized a NeurIPS meetup and Women in ML in Japan: https://neuripsmeetupjapan.github.io.
• Our paper “Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval” is accepted at ML4H 2020.
• Our research “MADAO: Meta Approach to Data Augmentation Optimization” won Best Student Paper Award at MIRU 2020.
• Our paper “Faster AutoAugment: Learning Augmentation Strategies using Backpropagation” is accepted at ECCV 2020.

Conference Papers (Peer-reviewed)

• Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, and Hideki Nakayama, “Faster AutoAugment: Learning Augmentation Strategies using Backpropagation”, European Conference on Computer Vision, 2020.
• Ryuichiro Hataya, and Hideki Nakayama, “LOL: Learning To Optimize Loss Switching Under Label Noise”, International Conference on Image Processing, 2019.

Preprints

• Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, and Hideki Nakayama, “Meta Approach to Data Augmentation Optimization”, 2020. arXiv

Others

• 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.

Research Grants

• 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.

Awards

• Best Student Paper Award, The 23rd Meeting on Image Recognition and Understanding, 2020.

Others

• Organizer of NeurIPS meetup Japan & Women in ML, 2020.