Showing results 1 to 8 of 8
Automated Data Slicing for Model Validation: A Big data - AI Integration Approach Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.32, no.12, pp.2284 - 2296, 2020-12 |
Data cleaning for accurate, fair, and robust models: A big data - AI integration approach Tae, Ki Hyun; Roh, Yuji; Oh, Young Hun; Kim, Hyunsu; Whang, Steven Euijong, 3rd Workshop on Data Management for End-To-End Machine Learning, DEEM 2019 - In conjunction with the 2019 ACM SIGMOD/PODS Conference, pp.5:1 - 5:4, Association for Computing Machinery, 2019-06-30 |
Falcon: Fair Active Learning using Multi-armed Bandits Tae, Ki Hyun; Zhang, Hantian; Park, Jaeyoung; Rong, Kexin; Whang, Steven Euijong, PROCEEDINGS OF THE VLDB ENDOWMENT, v.17, no.5, pp.952 - 965, 2024-01 |
iFlipper: Label Flipping for Individual Fairness Zhang, Hantian; Tae, Ki Hyun; Park, Jaeyoung; Chu, Xu; Whang, Steven Euijong, 2023 ACM SIGMOD International Conference on Management of Data, ACM, 2023-06-19 |
Responsible AI Challenges in End-to-end Machine Learning Whang, Steven Euijong; Tae, Ki Hyun; Roh, Yuji; Heo, Geon, The Bulletin of the Technical Committee on Data Engineering, v.44, no.1, pp.79 - 91, 2021-03 |
Slice Finder: Automated Data Slicing for Model Validation Chung, Yeounoh; Kraska, Tim; Polyzotis, Neoklis; Tae, Ki Hyun; Whang, Steven Euijong, 35th IEEE International Conference on Data Engineering, ICDE 2019, pp.1550 - 1553, IEEE Computer Society, 2019-04 |
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models Tae, Ki Hyun; Whang, Steven Euijong, 2021 International Conference on Management of Data, SIGMOD 2021, Association for Computing Machinery, 2021-06-21 |
Towards responsible AI: data-centric solutions for fairness = 책임 있는 인공지능을 위한 데이터 중심 공정성 솔루션link Tae, Ki Hyun; 태기현; et al, 한국과학기술원, 2024 |
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