Accepted our paper to ACM KDD2019 Applied Data Science Track
The following paper has been accepted to the KDD2019 Applied Data Science Track.
- Shunsuke Kitada, Hitoshi Iyatomi, and Yoshifumi Seki. “Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative”
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.