Phúc Lê

@lkhphuc

Ph.D student at the ML-Labs, Centre for Research Training.

Dublin City, Ireland
Vrijeme pridruživanja: prosinac 2014.

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  1. Prikvačeni tweet
    15. pro 2018.
    Odgovor korisniku/ci

    Hehe I really like the idea that I first heard of from too. So like it that I decided to write an article about it too, even though my writing is not so good.

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  2. proslijedio/la je Tweet
    31. sij

    An Opinionated Guide to ML Research: “To make breakthroughs with idea-driven research, you need to develop an exceptionally deep understanding of your subject, and a perspective that diverges from the rest of the community—some can do it, but it’s hard.”

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  3. 23. sij
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  4. 23. sij

    Very excited with the development for better ML tools.

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  5. proslijedio/la je Tweet
    17. sij

    Planck won the Nobel for discovering quanta of energy. By assuming the energy of light of a certain frequency could only come in discrete steps, he figured out how much light of each frequency you see in a hot furnace. Wild hair. But he was not a revolutionary. (1/n)

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  6. 14. sij

    I love all features of but I think there are rooms for improvement with the knowledge graph. Or have I been using it incorrectly? Any ideas ?

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  7. 31. pro 2019.
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  8. 31. pro 2019.

    Inspiring! Grateful that do not require half-a-PhD to start a PhD.

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  9. 14. pro 2019.
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  10. proslijedio/la je Tweet

    Superb use of scrolling, evoking a gradual descent from sunspeared shallows to inky abyss—and the tenacity with which life permeates the many layers of the planet

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  11. 20. stu 2019.
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  12. 18. stu 2019.
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  13. 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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  14. 26. ruj 2019.
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  15. proslijedio/la je Tweet
    24. kol 2019.

    Protestors in Hong Kong are cutting down facial recognition towers.

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  16. proslijedio/la je Tweet
    8. kol 2019.

    Temporal Cycle-Consistency Learning (TCC) is a novel self-supervised method for learning representations that are well-suited for fine-grained temporal labeling of video. Learn how it’s done and download the TCC codebase to try it out for yourself!

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  17. proslijedio/la je Tweet
    30. srp 2019.

    ML dev speed hack #0 - Overfit a single batch - Before doing anything else, verify that your model can memorize the labels for a single batch and quickly bring the loss to zero - This is fast to run, and if the model can't do this, then you know it is broken

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  18. proslijedio/la je Tweet
    29. srp 2019.

    The recent protests in Hong Kong highlights many potential digital security risks for participants, from electronic payments, smartphone locks, secure chat group management, DDOS attacks from China etc. Article in discusses some of the issues:

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  19. proslijedio/la je Tweet
    18. srp 2019.

    I'm working on a book on machine learning interviews so I've been spending the last few months talking to companies about their hiring process for ML roles. This thread is a summary of what I've learned. It will be updated as the book progresses. (1/n)

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  20. 8. srp 2019.

    When you visualize your model's embedding with PCA and tSNE.

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  21. proslijedio/la je Tweet

    Adamはもう古いのね。cosine annealingがデファクトっぽい / “What’s up with Deep Learning optimizers since Adam?” by

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