ACM SIGKDD Talk, Aug., 2024
ACM SIGKDD Talk, Aug., 2024
Seong-Hyeon Hwang, Minsu Kim, and Steven Euijong Whang, "RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks", ACM SIGKDD 2024
[Paper][Slides]
![](https://www.google.com/images/icons/product/drive-32.png)
AI & Fairness Panel Talk @ KAIST International Symposium on AI and Future Society, Dec. 10th, 2021
AI & Fairness Panel Talk @ KAIST International Symposium on AI and Future Society, Dec. 10th, 2021
AI & Fairness Panel with Tulsee Doshi (Head of Product, Google), Kangwook Lee (Professor, Univ. Wisconsin Madison), Been Kim (Research Scientist, Google Brain), and Changho Suh (Professor, KAIST)
My Talk: "Responsible AI: Model-centric and Data-centric Approaches"
[Slides]
ACM SIGKDD Tutorial, Aug. 14th, 2021
ACM SIGKDD Tutorial, Aug. 14th, 2021
J. Lee, Y. Roh, H. Song, and S. E. Whang, "Machine Learning Robustness, Fairness, and their Convergence," KDD, 2021 (Recorded separately with permission)
Google APAC TechTalk, Aug. 19th, 2020
Google APAC TechTalk, Aug. 19th, 2020
Steven Euijong Whang, "Responsible AI Techniques for Model Training and Data Acquisition," Google APAC Academic Research Talk Series, 2020
[Slides]