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AI News Summarization & Podcast Service @ Naver Boostcamp AI-Tech

Shell 1.66% Python 82.05% CSS 2.18% HTML 10.55% R 3.56%
bart dbscan nlp summarization tts

final-project-level3-nlp-05's Introduction

πŸ‡°πŸ‡· πŸ‡ΊπŸ‡Έ πŸ‡¦πŸ‡Ί πŸ‡ΈπŸ‡¬ πŸ‡―πŸ‡΅ πŸ‡²πŸ‡³ πŸ‡¨πŸ‡³ πŸ‡²πŸ‡Ύ πŸ‡ΆπŸ‡¦ πŸ‡·πŸ‡Ό πŸ‡°πŸ‡ͺ

πŸ›  Publications πŸ› 

  • Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
    Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee
    Under review.
  • Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification [arXiv]
    Seongho Keum, Sanghyun Kim, Soojeong Lee, Juho Lee
    Under review.
  • 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
    AAAI23 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

πŸ›  Tech Stack πŸ› 

πŸ‘Ύ Programming Language πŸ‘Ύ

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🧠 Framework & Library 🧠

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✨ Tools ✨

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final-project-level3-nlp-05's People

Contributors

hbinn avatar kkmjkim avatar nannullna avatar nlee-208 avatar zeus0007 avatar zgotter avatar

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