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    CMU ML Blog

    blog.ml.cmu.edu · Company blog · on HN since 2018

    The Machine Learning Department at Carnegie Mellon University publishes research posts on deep learning theory, reinforcement learning, fairness, and optimization.

    Visit blogHN submissions
    AI & Machine LearningScience
    What HN says

    HN links it for CMU research posts; one commenter cites a post on screen parsing in a thread about Apple's AI research on user interfaces.

    Stats for nerds
    16HN people shared it
    25linked in comments
    243story points
    Dec 2023last shared

    Top posts on HN

    1. 1
      Learning from failure to tackle hard problems
      1 person · 125 points · first shared 2025 · 26 comments on HN
    2. 2
      Diffusion Beats Autoregressive in Data-Constrained Settings
      1 person · 72 points · first shared 2025 · 14 comments on HN
    3. 3
      Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
      2 people · 7 points · first shared 2019 · Discussion on HN
    4. 4
      Building Machine Learning Models via Comparisons
      2 people · 6 points · first shared 2019 · Discussion on HN
    5. 5
      Path Length Bounds for Gradient Descent
      1 person · 4 points · first shared 2019 · Discussion on HN
    6. 6
      Inherent Tradeoffs in Learning Fair Representations
      1 person · 3 points · first shared 2020 · Discussion on HN
    7. 7
      An experimental design perspective on model-based reinforcement learning
      1 person · 3 points · first shared 2022 · Discussion on HN
    8. 8
      Learning DAGs with Continuous Optimization
      1 person · 3 points · first shared 2021 · Discussion on HN
    9. 9
      An Inferential Perspective on Federated Learning
      1 person · 2 points · first shared 2021 · Discussion on HN
    10. 10
      Contextual Parameter Generation for Neural Machine Translation
      1 person · 2 points · first shared 2019 · Discussion on HN

    What HN people wrote when they linked it

    • tjean_zDec 2023

      Apple has published research on using AI to clone apps. It can't get worse
      source: https://blog.ml.cmu.edu/2021/12/10/understanding-user-interfaces-with-screen-parsing/

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