Data Intelligence Lab @ KAIST

KAIST

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DI LabNewsProfessorStudentsPublicationsProjectsCoursesTalksPhotosVideos

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Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective (VLDB Journal '23)

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Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD '21 tutorial)

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A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective (IEEE TKDE '21)

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Responsible AI Challenges in End-to-end Machine Learning (IEEE Data Engineering Bulletin '21)

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Data Collection and Quality Challenges for Deep Learning (VLDB '20 Tutorial)

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Falcon: Fair Active Learning using Multi-armed Bandits (VLDB '24)

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iFlipper: Label Flipping for Individual Fairness (ACM SIGMOD '23)

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Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models (ACM SIGMOD '21)

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