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  • Samsung Research
  • Republic of Korea
  • 12:38 (UTC +09:00)

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nannullna/README.md

🇰🇷 🇺🇸 🇦🇺 🇸🇬 🇯🇵 🇲🇳 🇨🇳 🇲🇾 🇶🇦 🇷🇼 🇰🇪 🇻🇳 🇫🇷 🇮🇹 🇩🇪 🇬🇧

🛠 Publications 🛠

  • Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models [paper]
    Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    arXiv preprint.
  • Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion [paper] [code]
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    ECCV 2024 (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%)

🛠 Tech Stack 🛠

👾 Programming Language 👾

                 

🧠 Framework & Library 🧠

               
       

✨ Tools ✨

       

Pinned Loading

  1. safe-diffusion safe-diffusion Public

    The official implementation of the paper "Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models" (ICML 2023 Workshop on Challenges in Deployable Generative AI)

    Python 21

  2. ts4uplift ts4uplift Public

    Official repository of the paper "Modeling Uplift from Observational Time-Series in Continual Scenarios" (Oral presentation, AAAI 2023 Bridge on Continual Causality)

    Jupyter Notebook 5 1

  3. snapshot-al snapshot-al Public

    Official Implementation of the paper "A Simple yet Powerful Deep Active Learning with Snapshots Ensembles" (ICLR 2023)

    Python 7

  4. EasyBART EasyBART Public

    Extractive/Abstractive summarY BART

    Python 3 1

  5. MRC_Baseline MRC_Baseline Public

    Forked from QuoQA-NLP/MRC_Baseline

    🥈 2022 NIPA MRC Competition 2nd Place Solution

    Python