• Skip to primary navigation
  • Skip to content
  • Skip to footer
전생했더니 인공지능이었던 건에 대하여
  • Tags

    JiYeop Kim

    Diffusion은 신이고 GPT는 무적이다

    • Seoul, Korea
    • GitHub
    • Email
    • 📂 전체 게시글 (627)
    • 📝 논문리뷰 (617)
      • Computer Vision (401)
      • 3D Vision (127)
      • Audio & Speech (48)
      • NLP (49)
      • RL (15)
      💻 구현 / 프로그래밍 (4) 📒 공부 (2) 🔥 AI소식 (4)

    Recent posts

    [논문리뷰] Semi-Parametric Neural Image Synthesis

    2023년 04월 07일 

    Semi-Parametric Neural Image Synthesis 논문 리뷰 (NeurIPS 2022)

    Tags: Autoregressive, Computer Vision, Diffusion, Image Generation, NeurIPS

    [논문리뷰] Training language models to follow instructions with human feedback (InstructGPT / RLHF)

    2023년 04월 06일 

    InstructGPT (RLHF) 논문 리뷰

    Tags: Fine-Tuning, LLM, NLP, OpenAI, Reinforcement Learning, RLHF

    [논문리뷰] Regularized Vector Quantization for Tokenized Image Synthesis (Reg-VQ)

    2023년 04월 05일 

    Reg-VQ 논문 리뷰

    Tags: Computer Vision, Contrastive Learning, Image Generation, Vector Quantization

    [논문리뷰] Diffusion-LM Improves Controllable Text Generation

    2023년 04월 04일 

    Diffusion-LM 논문 리뷰 (NeurIPS 2022)

    Tags: Diffusion, Language Generation, NeurIPS, NLP

    [논문리뷰] SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

    2023년 04월 03일 

    SeqDiffuSeq 논문 리뷰

    Tags: Diffusion, Language Generation, NLP

    • Previous
    • 1
    • …
    • 104
    • 105
    • 106
    • 107
    • 108
    • 109
    • 110
    • …
    • 126
    • Next
    • Follow:
    • Feed
    © 2025 kimjy99. Powered by Jekyll & Minimal Mistakes.