Houka

@HouhouinK

Interested in almost everything. Currently ML and cognitive science. Energy conservationist(Lazy😉)

Vrijeme pridruživanja: kolovoz 2018.

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  1. proslijedio/la je Tweet
    2. velj

    Performance artist generates virtual traffic jams in Google Maps by pulling a wagon full of smartphones

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  2. proslijedio/la je Tweet
    31. sij
    Odgovor korisnicima

    It looks like a skipped some of your amazing questions! The most surprising thing I learned was that there is a lot of posturing or ignorance in the human trafficking space that we don’t have the data. But we totally do! It’s the homeless population...

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  3. 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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  4. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  5. proslijedio/la je Tweet
    26. sij

    Teaching Deep Unsupervised Learning (2nd edition) at this semester. You can follow along here: Instructor Team: , , , Wilson Yan, Alex Li, YouTube, PDF, and Google Slides for ease of re-use

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  6. proslijedio/la je Tweet
    25. sij

    This semester I'm teaching a new PhD course "Economics, AI, and Optimization." I'll be covering how AI/Opt methods enable large-scale economic solution concepts. I'm planning to share lectures notes that I hope will be of broader interest.

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  7. proslijedio/la je Tweet
    25. sij

    Generative Adversarial Networks are a pretty active appl. and research field, and I am really glad that there are the occasional reviews that summarize recent developments: "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications"

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

    If you are building ML models that consume time as a feature, check out our latest work where we show how learning a vector representation for time may improve model performance:

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  9. proslijedio/la je Tweet
    24. sij

    One of my tricks is to use pigeons for training. A bit tricky with the kernel competitions though, since Kaggle Docker has no preinstalled pigeons.

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  10. proslijedio/la je Tweet
    23. sij

    ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network pdf: abs:

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  11. proslijedio/la je Tweet
    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

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  12. proslijedio/la je Tweet
    16. sij

    I did a deep-dive into Pages, and found it's possible to create a *really* easy way to host your own blog: no code, no terminal, no template syntax. I made "fast_template" to pull this together, & a guide showing beginners how to get blogging

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  13. proslijedio/la je Tweet
    14. sij

    If you are interested in working with doodles and sketches rather than just pixel photos, check out this survey of Deep Learning for Free-Hand Sketch, by Xu et al., with 240 references to what used to be a niche area of machine learning and computer vision

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  14. proslijedio/la je Tweet
    8. sij

    It is time to prepare readings for teaching human-centered machine learning in the Spring. It is exciting to see how many papers are published in the past couple of years: . Twitter hive mind, any papers that should be included?

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  15. proslijedio/la je Tweet
    11. sij

    BatVision: Learning to See 3D Spatial Layout with Two Ears Uses cheap microphones and a JBL bluetooth speaker, nothing too fancy, and tries to reconstruct plausible details in the final grayscale output. abs: pdf:

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  16. proslijedio/la je Tweet
    10. sij

    Workera recently published a report on AI career pathways. It doesn't mention hardware. I also don't see the difference b/w SWE-ML & ML Engineer. But it highlights some important distinctions. I also like talk on the structure of AI teams

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  17. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

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  18. proslijedio/la je Tweet
    5. sij

    Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere. We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop. But why? So we can—talk. Thus chimpanzees can do this—we can’t:

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  19. proslijedio/la je Tweet
    28. pro 2019.

    Reformer: The Efficient Transformer They present techniques to reduce the time and memory complexity of Transformer, allowing batches of very long sequences (64K) to fit on one GPU. Should pave way for Transformer to be really impactful beyond NLP domain

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  20. proslijedio/la je Tweet
    26. pro 2019.

    I am so excited for when drops Vid2Game code. Imagine all the amazing things you could do with this. Maybe the models are even playable in a Colab? FMV games: The Next Generation? abs: vid:

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