Ki Hyun Tae

According to our database, Ki Hyun Tae authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Falcon: Fair Active Learning using Multi-armed Bandits.

Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang

Proc. VLDB Endow., January, 2024

2023

iFlipper: Label Flipping for Individual Fairness.

Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang

Proc. ACM Manag. Data, 2023

2021

Responsible AI Challenges in End-to-end Machine Learning.

Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo

IEEE Data Eng. Bull., 2021

Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models.

Ki Hyun Tae, Steven Euijong Whang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang

IEEE Trans. Knowl. Data Eng., 2020

Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models.

Ki Hyun Tae, Steven Euijong Whang

CoRR, 2020

2019

Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach.

Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Slice Finder: Automated Data Slicing for Model Validation.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019