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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)

    LightWeight

    DenseNet, SqueezeNet, MobileNet 이해하기 2023.02.15 LightWeight DenseNet MobileNet Quantization SqueezeNet
    Meta, Transfer, Multi-task, Continual Learning 차이 2023.02.14 LightWeight Continual Learning Meta Learning Multi-task Learning Transfer Learning
    Auto Encoder(오토 인코더) 이해하기 2023.02.14 LightWeight AutoEncoder Compression
    Quantization 기본기 다지기 2023.02.13 LightWeight Non-uniform PTQ QAT Quantization Uniform
    초거대AI 멀티모델(MultiModal)이란? 2023.02.11 LightWeight HyperscaleAI MultiModal Transformer
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