[Invited Presentation] Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives
Abstract
Slides for the presentation of my doctoral dissertation (in Japanese). The contents of the presentation are already published as the following papers:
- Section 2: Kitada and Iyatomi IEEE Access'21. https://arxiv.org/abs/2009.12064
- Section 3: Kitada and Iyatomi. Appl. Intell.‘22. https://arxiv.org/abs/2104.08763
- Section 4: Kitada et al. KDD'19. https://arxiv.org/abs/1905.07289
- Section 5: Kitada et al. Appl. Sci.‘22. https://arxiv.org/abs/2204.11588
Date
Mar 24, 2023 12:00 PM — 12:00 PM
Event
Doctoral Dissertation Presentation
Location
Hosei University
Doctoral Dissertation Presentation
Slides for the presentation of my doctoral dissertation (in Japanese). The contents of the presentation are already published as the following papers:
- Section 2: Kitada and Iyatomi IEEE Access'21. https://arxiv.org/abs/2009.12064
- Section 3: Kitada and Iyatomi. Appl. Intell.‘22. https://arxiv.org/abs/2104.08763
- Section 4: Kitada et al. KDD'19. https://arxiv.org/abs/1905.07289
- Section 5: Kitada et al. Appl. Sci.‘22. https://arxiv.org/abs/2204.11588
資料 - Slides
Shunsuke Kitada, Ph.D.
Research Scientist working on Vision & Language with Deep Learning
My research interests include deep learning-based natural language processing, computer vision, medical image processing, and computational advertising.