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RIKEN Center for Advanced Intelligence Project Imperfect Information Learning Team

Team Leader: Masashi Sugiyama (D.Eng.)

Research Summary

Masashi Sugiyama(D.Eng.)

Recently, machine learning technology with big data has been actively investigated and its effectiveness has been demonstrated. However, depending on application domains, it is difficult or even it is not possible to collect a large amount of data. In the Imperfect Information Learning Team, for various machine learning tasks including supervised learning, unsupervised learning, and reinforcement learning, we develop novel algorithms that allow accurate learning from limited information. We also elucidate their theoretical properties and apply them to various real-world applications ranging from fundamental science to business.

Research Subjects:

  • Development of machine learning algorithms from imperfect information
  • Theoretical analysis of machine learning algorithms
  • Real-world application of machine learning algorithms

Main Research Fields

  • Informatics

Related Research Fields

  • Intelligent informatics
  • Perceptual information processing
  • Statistical science

Keywords

  • artificial intelligence
  • machine learning
  • weakly supervised learning
  • reinforcement learning
  • deep learning

Selected Publications

  • 1. Zhang, J., Xu, X., Han, B., Niu, G., Cui, L., Sugiyama, M., & Kankanhalli, M.:
    "Attacks which do not kill training make adversarial learning stronger."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 2. Tangkaratt, V., Han, B., Khan, M. E., & Sugiyama, M.:
    "Variational imitation learning with diverse-quality demonstrations."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 3. Han, B., Niu, G., Yu, X., Yao, Q., Xu, M., Tsang, I., & Sugiyama, M.:
    "SIGUA: Forgetting may make learning with noisy labels more robust."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 4. Feng, L., Kaneko, T., Han, B., Niu, G., An, B., & Sugiyama, M.:
    "Learning with multiple complementary labels."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 5. Chou, Y.-T., Niu, G., Lin, H.-T., & Sugiyama, M.:
    "Unbiased risk estimators can mislead: A case study of learning with complementary labels."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 6. Lv, J., Xu, M., Feng, L., Niu, G., Geng, X., & Sugiyama, M.:
    "Progressive identification of true labels for partial-label learning."
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 7. Ishida, T., Yamane, I., Sakai, T., Niu, G., & Sugiyama, M.:
    "Do we need zero training loss after achieving zero training error?"
    In Proceedings of 37th International Conference on Machine Learning (ICML2020), to appear.
  • 8. Lu, N., Zhang, T., Niu, G., & Sugiyama, M.:
    Mitigating overfitting in supervised classification from two "unlabeled datasets: A consistent risk correction approach."
    In Proceedings of 23rd International Conference on Artificial Intelligence and Statistics (AISTATS2020), pp.1115-1125, 2020.
  • 9. Xia, X., Liu, T., Wang, N., Han, B., Gong, C., Niu, G., & Sugiyama, M.:
    "Are anchor points really indispensable in label-noise learning?"
    In Advances in Neural Information Processing Systems 32 (NeurIPS2019), pp.6835-6846, 2019.
  • 10. Wu, Y.-H., Charoenphakdee, N., Bao, H., Tangkaratt, V., & Sugiyama, M.:
    "Imitation learning from imperfect demonstration."
    In Proceedings of 36th International Conference on Machine Learning (ICML2019), pp.6818-6827, 2019.

Recent Research Results

Related Links

Lab Members

Principal investigator

Masashi Sugiyama
Team Leader

Core members

Gang Niu
Senior Research Scientist
Takashi Ishida
Research Scientist
Shuo Chen
Research Scientist
Masahiro Fujisawa
Special Postdoctoral Researcher
Zhen-Yu Zhang
Postdoctoral Researcher
Okan Koc
Postdoctoral Researcher
Ming-Kun Xie
Postdoctoral Researcher
Shinichi Nakajima
Senior Visiting Scientist
Florian Baptiste Yger
Visiting Scientist
Miao Xu
Visiting Scientist
Bo Han
Visiting Scientist
Feng Liu
Visiting Scientist
Tongliang Liu
Visiting Scientist
Takahiro Mimori
Visiting Scientist
Takayuki Osa
Visiting Scientist
Futoshi Futami
Visiting Scientist
Salah Ghamizi
Visiting Scientist
Fumiko Kaswasaki
Visiting Scientist
Yang Liu
Visiting Scientist
Nan Lu
Visiting Scientist
Tingting Zhao
Visiting Scientist
Jingfeng Zhang
Visiting Scientist
Peng Zhao
Visiting Scientist
Lei Feng
Visiting Scientist
Alexander Soen
Student Trainee
Jingcheng Pang
Student Trainee
Qizhou Wang
Student Trainee
Feiyang Ye
Student Trainee
Jiaqi Yang
Intern
Yuting Tang
Junior Research Associate
Wei Wang
Junior Research Associate
Ryota Ushio
Junior Research Associate
Johannes Ackermann
Research Part-time Worker I
Jiahuan Li
Research Part-time Worker I

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan
Email: masashi.sugiyama [at] riken.jp

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