Tweetovi

Blokirali ste korisnika/cu @KlimZaporojets

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @KlimZaporojets

  1. proslijedio/la je Tweet
    30. sij

    We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL):

    Poništi
  2. proslijedio/la je Tweet
    28. sij

    Introducing , a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness! Paper: Sample conversations:

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet
    29. sij

    If you want to go beyond the stuff you will learn in MOOCs follow this class from (not an easy class if you take it seriously). Video lectures:

    Poništi
  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:

    Prikaži ovu nit
    Poništi
  5. proslijedio/la je Tweet
    28. sij

    💥 Starting the 2020 edition of 's Deep Learning class with ~200 students! 🤩 This year we *will* end up with annotated ✏️ video recordings 🎥 and publishable lecture notes 📖, as we're putting the extra effort to renew 🌟 and reorganise 🧐 the material. – mjesto: NYU Courant Institute of Mathematical Sciences

    Poništi
  6. proslijedio/la je Tweet
    27. sij

    New NLP News: NLP Progress, Restrospectives and look ahead, New NLP courses, Independent research initiatives, Interviews, Lots of resources (via )

    Poništi
  7. proslijedio/la je Tweet
    24. sij

    is one of the most important techniques I don't often recommend PhD Thesis' - 's is exceptional. He's a brilliant writer! Check out this taxonomy / table of contents!!! 👇👇👇

    Poništi
  8. proslijedio/la je Tweet
    16. sij

    If you've wondered - "Which optimizer should I use? ? ? ?" This blogpost by is the best explanation I've seen. It's a surprisingly easy read! Definitely a great / project!

    Poništi
  9. proslijedio/la je Tweet
    7. sij

    Introducing "Neural Module Networks for Reasoning over Text" accepted to ICLR 2020 w/ Kevin Lin (), Dan Roth (), Sameer Singh () and Matt Gardner (). Paper: Code: Coming soon! [1/4]

    Prikaži ovu nit
    Poništi
  10. 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.

    Poništi
  11. proslijedio/la je Tweet
    5. sij

    NLP Year in Review — 2019 An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by .

    Poništi
  12. proslijedio/la je Tweet
    16. pro 2019.

    Nice list of references on using deep nets and models of brain and behavior, specifically using ConvNets as models of the visual cortex.

    Poništi
  13. proslijedio/la je Tweet
    12. pro 2019.

    Machine Learning in a company is 10% Data Science & 90% other challenges It's VERY hard. Everything in this guide is ON POINT, and it's stuff you won't learn in an ML book "Best Practices of ML Engineering" This is a lifesaver project

    Poništi
  14. proslijedio/la je Tweet
    11. pro 2019.

    Altair 4.0 is released! Try it with: pip install -U altair The full list of changes is at ...read on for some highlights.

    Prikaži ovu nit
    Poništi
  15. proslijedio/la je Tweet

    The first full paper on after 3 years of development. It describes our goals, design principles, technical details uptil v0.4 Catch the poster at Authored by , et. al.

    Prikaži ovu nit
    Poništi
  16. proslijedio/la je Tweet
    4. pro 2019.

    Our new paper, Deep Learning for Symbolic Mathematics, is now on arXiv We added *a lot* of new results compared to the original submission. With (1/7)

    Prikaži ovu nit
    Poništi
  17. proslijedio/la je Tweet
    28. stu 2019.

    For anyone who has ever thought - "Can I learn the math needed for Deep Learning all in one place (& maybe skip the other stuff)?" - this is quite a nice resource! "The Matrix Calculus You Need For Deep Learning" (Table of Contents 👇)

    Poništi
  18. proslijedio/la je Tweet
    27. stu 2019.

    I'm sad that the funding we were successfully granted has been revoked because I am going on maternity leave and apparently an extension to account for this is beyond the remit of the funders. It's hard to win funding, to have it taken away again after so much work is gutting 😭

    Prikaži ovu nit
    Poništi
  19. proslijedio/la je Tweet
    24. stu 2019.

    I wrote an 8k word doc on machine learning systems design. This covers: 1. Project setup 2. Data pipeline 3. Training & debugging 4. Serving with case studies, resources, and 27 exercises. This is the 1st draft so feedback is much needed. Thank you!

    Poništi
  20. proslijedio/la je Tweet
    20. stu 2019.

    I'm uncomfortable when papers make claims like "we beat SOTA by ..." or "our results are better than []". They turn research into a competition, not collaboration. Wouldn't it be nice if we can say: "Built upon the work of [], we're able to improve the results by ..."?

    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·