ishida takashi 石田隆

Researcher Number	80888462
Other IDs
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員 2025: 東京大学, 大学院新領域創成科学研究科, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 東京大学, 大学院新領域創成科学研究科, 講師 2023: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related Except Principal Investigator Basic Section 61010:Perceptual information processing-related
Keywords	Principal Investigator 教師あり学習 / MU学習 / 機械学習 / 補ラベル学習 Except Principal Investigator ３D土地被覆地図 / リモートセンシング / 数値標高モデル / 土地被覆地図 / 画像処理 / 地球観測 / 弱教師付き学習 / 3D土地被覆地図

機械学習の汎化性能と信頼性の向上に関する研究Principal Investigator
- Principal Investigator
  
  石田隆
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research
  The University of Tokyo
3D land cover mapping from satellite images by weakly supervised learning
- Principal Investigator
  
  横矢直人
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  The University of Tokyo

All 2024 2023

All Journal Article Presentation

[Journal Article] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024
- Author(s)
  Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
- Journal Title
  
  Proceedings of the Forty-first International Conference on Machine Learning
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17946
[Journal Article] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023
- Author(s)
  Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
- Journal Title
  
  Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
  
  Volume: 206 Pages: 4768-4801
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17946
[Presentation] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024
- Author(s)
  Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
- Organizer
  The Forty-first International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17946
[Presentation] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023
- Author(s)
  Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
- Organizer
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17946

1. 横矢直人 (40710728)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. Xia Junshi (00830168)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

ishida takashi 石田隆

Research Projects

Research Products

Co-Researchers

機械学習の汎化性能と信頼性の向上に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

3D land cover mapping from satellite images by weakly supervised learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024

Author(s)

Journal Title

Data Source

[Journal Article] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023

Author(s)

Journal Title

Data Source

[Presentation] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024

Author(s)

Organizer

Data Source

[Presentation] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023

Author(s)

Organizer

Data Source

ishida takashi 石田 隆

Research Projects

Research Products

Co-Researchers

機械学習の汎化性能と信頼性の向上に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

3D land cover mapping from satellite images by weakly supervised learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024

Author(s)

Journal Title

Data Source

[Journal Article] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023

Author(s)

Journal Title

Data Source

[Presentation] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical2024

Author(s)

Organizer

Data Source

[Presentation] Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality2023

Author(s)

Organizer

Data Source

ishida takashi 石田隆