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    쭌스🎄

    쭌스🎄

    I earned my BS degree in Computer Science and Data Science at the University of Wisconsin-Madison, and I am currently pursuing my PhD in AI at SNU.

    I am broadly interested in reinforcement learning, deep learning, model compression/optimization, and hyper-scale AI. The main objective of my study is to build a reliable, efficient, and expansive AI/ML system for sustainable development.

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    • 📂 전체 글 수 88 개
    • AI Research Papers
      • Model Compression (4)
      • CV (3)
      • NLP (1)
      • Others (1)
      Study AI
      • Reinforcement Learning (5)
      • Model Compression (5)
      • Machine Learning (16)
      • NLP (14)
      • CV (4)
      • XAI (4)
      • Others (2)
      Others
      • AI Basic (6)
      • Python (5)
      • DB (14)
      • Others (4)

    Recent Posts

    2023.02.22

    [논문분석] AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

    AIPaperLightWeight AlphaTuning Model Compression Pruning Quantization

    2023.02.21

    [강화학습] Marcov Decision Process (MDP) 이해하기

    RL MDP Reinforcement Learning

    2023.02.20

    [강화학습] Q-Learning 이해하기

    RL Q-Learning Reinforcement Learning

    2023.02.17

    Self/Semi-supervised Learning for Scene Text Recognition

    Others Scene Text Recognition Self/Semi Supervised Learning

    2023.02.15

    DenseNet, SqueezeNet, MobileNet 이해하기

    LightWeight DenseNet MobileNet Quantization SqueezeNet
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