‪Sanghyun Kim‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	14	14
h-index	2	2
i10-index	1	1

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202320244 10

Co-authors

Seohyeon JungKAISTVerified email at kaist.ac.kr
Juho LeeAssociate professor, KAISTVerified email at kaist.ac.kr
Jungwon ChoiPhD candidate, KAISTVerified email at kaist.ac.kr
Seongho KeumKAISTVerified email at kaist.ac.kr
Jinwoo ShinKAIST Endowed Chair ProfessorVerified email at kaist.ac.kr

Sanghyun Kim

Sanghyun Kim

Verified email at kaist.ac.kr

Artificial Intelligence Deep Learning Causality Fairness in AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Towards safe self-distillation of internet-scale text-to-image diffusion models S Kim, S Jung, B Kim, M Choi, J Shin, J Lee arXiv preprint arXiv:2307.05977, 2023	10	2023
A simple yet powerful deep active learning with snapshots ensembles S Jung, S Kim, J Lee The Eleventh International Conference on Learning Representations, 2022	4	2022
Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification S Keum, S Kim, S Lee, J Lee arXiv preprint arXiv:2311.17466, 2023		2023
Modeling Uplift from Observational Time-Series in Continual Scenarios S Kim, J Choi, NH Kim, J Ryu, J Lee AAAI Bridge Program on Continual Causality, 75-84, 2023		2023

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