Shikun Liu

@liu_shikun

Ph.D. student at the Dyson Robotics Lab at Imperial College. Study the science of art, and art in science.

London, England
Vrijeme pridruživanja: rujan 2017.

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  1. proslijedio/la je Tweet
    30. sij

    Humans learn from curriculum since birth. We can learn complicated math problems because we have accumulated enough prior knowledge. This could be true for training a ML/RL model as well. Let see how curriculum can help an RL agent learn:

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  2. 20. sij

    You will like this one.

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  3. 20. sij

    Semantic hierarchy exists in deep generative models.

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  4. proslijedio/la je Tweet
    19. sij

    Some say "cellular automata are just recurrent convolutional networks" (quote , ) so possibly those creatures are already looming inside your self-driving car / Colab notebook

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  5. 19. sij

    A very nice blog discussing the current limitations in deep learning.

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  6. proslijedio/la je Tweet
    8. sij

    SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition “SPACE can explicitly provide factorized object representations for foreground objects while also decomposing background segments of complex morphology.” 👾

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  7. proslijedio/la je Tweet

    Holy crap, this is incredible: A dog playing Jenga. Turn-taking, fine motor control, apparent understanding of the aim of the game. I would not have guessed a dog could do this.

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  8. proslijedio/la je Tweet
    18. pro 2019.

    [2/2] Find out more about Google’s Project Euphonia and Tim’s story in the new Originals learning series , out today:

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  9. 19. pro 2019.
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  10. 9. pro 2019.

    Please find me at poster session for a chat on Tuesday afternoon if you are interested in meta learning, auxiliary learning and multi-task learning!

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  11. proslijedio/la je Tweet
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  12. proslijedio/la je Tweet
    10. stu 2019.

    😊Self-supervised learning opens up a huge opportunity for better utilizing unlabelled data while learning in a supervised learning manner. My latest post covers many interesting ideas of self-supervised learning tasks on images, videos & control problems:

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  13. proslijedio/la je Tweet
    4. stu 2019.

    Adobe Aero has officially arrived. 🤩 Aero is the most intuitive way to blend reality with the surreal in unexpected ways. It's time to create next-gen experiences:

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  14. 5. stu 2019.
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  15. 5. stu 2019.

    A very impressive work from Stanford on neural scene representation and rendering.

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  16. proslijedio/la je Tweet
    11. lis 2019.

    How should a person exploring exotic geometries be called? A geometronaut?

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  17. proslijedio/la je Tweet
    26. ruj 2019.

    I've open sourced the demos & course notes from my recent "Intro to Creative Coding" workshop on p5.js and Tone.js. 🗒️ Course Notes → 🎨 p5.js Demos → 🔊 Tone.js Demos →

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  18. proslijedio/la je Tweet
    25. ruj 2019.

    Using gradient descent for everything

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  19. 25. ruj 2019.

    Just spot an interesting paper at ICLR 2020 which combines adversarial attack and NAS:

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