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๐Ÿ‡ฐ๐Ÿ‡ท ๐Ÿ‡บ๐Ÿ‡ธ ๐Ÿ‡ฆ๐Ÿ‡บ ๐Ÿ‡ธ๐Ÿ‡ฌ ๐Ÿ‡ฏ๐Ÿ‡ต ๐Ÿ‡ฒ๐Ÿ‡ณ ๐Ÿ‡จ๐Ÿ‡ณ ๐Ÿ‡ฒ๐Ÿ‡พ ๐Ÿ‡ถ๐Ÿ‡ฆ ๐Ÿ‡ท๐Ÿ‡ผ ๐Ÿ‡ฐ๐Ÿ‡ช ๐Ÿ‡ป๐Ÿ‡ณ ๐Ÿ‡ซ๐Ÿ‡ท ๐Ÿ‡ฎ๐Ÿ‡น

๐Ÿ›  Publications ๐Ÿ› 

  • Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    ECCV 2024 (to appear) (Acceptance rate: 27.9%)
  • Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification [arXiv]
    Seongho Keum, Sanghyun Kim, Soojeong Lee, Juho Lee
    ariXiv preprint.
  • Towards safe self-distillation of Internet-scale text-to-image diffusion models [paper] [code]
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    ICML 2023 Workshop on Challenges of Deploying Generative AI
  • Modeling uplift from observational time-series in continual scenarios [paper] [code] [PMLR]
    Sanghyun Kim, Jungwon Choi, NamHee Kim, Jaesung Ryu, Juho Lee
    AAAI 2023 Bridge on Continual Casality (oral presentation), 2023
  • A simple yet powerful deep active learning with snapshot ensembles [paper] [code]
    Seohyeon Jung*, Sanghyun Kim*, Juho Lee
    (*: Equal Contribution)
    ICLR 2023 (Acceptance rate: 24.3%)

๐Ÿ›  Tech Stack ๐Ÿ› 

๐Ÿ‘พ Programming Language ๐Ÿ‘พ

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๐Ÿง  Framework & Library ๐Ÿง 

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โœจ Tools โœจ

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