Hello World!

Ryuichiro Hataya’s webpage.

About

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PhD student at UTokyo and RA at RIKEN AIP / focusing on DL and ML

Research Interests

  • Weakly-supervised Learning
  • Meta Learning
  • Energy-based Models
  • Application of DL to Real-world Problems (Medical imaging, Taxonomy)

News

  • 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. I will present on UTC+1_8/26 0am, 5am (JST_8/26 8am, 2pm).

Projects


Latest Post


Publications

Conference Papers (Peer-reviewed)

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.