Kamran Ali

@KamiCule

Vrijeme pridruživanja: ožujak 2016.
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  1. proslijedio/la je Tweet
    8. sij

    Many aspiring AI engineers ask me how to take the next step and join an AI team. This report from , a affiliate, walks you through how AI teams work and which skills you need for different AI career tracks. Download it here:

    446 proslijeđenih tweetova 1.594 korisnika označavaju da im se sviđa
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  2. proslijedio/la je Tweet
    8. sij

    On my new year flight from Lima to SF, I wrote a blog post on the path from my previous job to the current one. TL;DR => it was an ocean of pain and experience obtained at was very useful 😀 If you like it => 50 claps. If not => 49 😀

    83 proslijeđena tweeta 586 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    27. sij 2019.

    You don't have to become a billionaire. However, focus is most important to succeed with anything. Also for small things like writing an email.

    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
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  5. proslijedio/la je Tweet
    19. pro 2019.

    The histogram of paper ratings: 1. a paper with ratings 6, 8, 8, got rejected: 2. a paper with ratings 1, 3, 3 got accepted 3. 62% of 3, 6, 8 papers got accepted 4. only 27.8% of 3, 6, 6 papers got accepted

    6 replies 13 proslijeđenih tweetova 72 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    18. pro 2019.

    Nice writeup on some of the themes at NeurIPS 2019.

    It took me a while to recap bc some papers are complex. Key points: - Destructing black box: convergence, generalization, neural tangent kernel - New approaches: Bayesian & uncertainty, graph, convex optimization - Neuroscience & bio-inspired algos - ...
    14 proslijeđenih tweetova 80 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    19. pro 2019.

    Sweet because: These are signs that NeurIPS is maturing. wrote an article about the community growing up: We’re getting better at diversity/inclusion and taking responsibility for our actions, though there’s still room to grow.

    1 reply 14 proslijeđenih tweetova 127 korisnika označava da im se sviđa
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  8. proslijedio/la je Tweet
    13. pro 2019.

    Fantastic things happening in especially in terms of our fast evolving landscape. My piece in Founders, Investors, Mentors & Facilitators all deserve credit for their contribution in elevating the ecosystem to where it is.👍

    5 proslijeđenih tweetova 7 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    12. pro 2019.

    "Study the science of art. Study the art of Science. Develop your senses - especially learn how to see. Realize that everything connects to everything else." -- Leonardo da Vinci (1452 - 1519)

    1.364 proslijeđena tweeta 3.889 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    12. pro 2019.

    tips day 5 (h/t )! Conferences are a parade of successes. Remember that for every impressive paper there are many (unpublished) ideas that didn't pan out. Take this opportunity to ask people about negative results!

    20 proslijeđenih tweetova 158 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    9. pro 2019.

    There are now 3 papers that successfully use Self-Supervised Learning for visual feature learning: MoCo: PIRL: And this, below. All three use some form of Siamese net.

    Unsupervised pre-training now outperforms supervised learning on ImageNet for any data regime (see figure) and also for transfer learning to Pascal VOC object detection
    355 proslijeđenih tweetova 1.094 korisnika označavaju da im se sviđa
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  12. proslijedio/la je Tweet
    8. pro 2019.

    Congratulations to our colleague Lin Xiao for the test of time award!!! Online convex optimization and mirror descent for the win!! (As always? :-).)

    1 reply 49 proslijeđenih tweetova 257 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    15. stu 2019.

    Some of the smartest people I know are leaving AI research for engineering/neuroscience. Their reasons? 1. We need to understand how humans learn to teach machines to learn. 2. Research should be hypothesis -> experiments, but AI research rn is experiments -> justifying results.

    281 proslijeđeni tweet 1.523 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    29. lis 2019.

    We just released code for our paper "Are Disentangled Representations Helpful for Abstract Visual Reasoning?" in disentanglement_lib. Joint work with , , and

    Excited that our paper "Are Disentangled Representations Helpful for Abstract Visual Reasoning?" () is accepted to with code released at . With , & .
    5 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    16. lis 2019.

    Machine learning portfolio tips 1. Good ideas come from ML sources that are a bit quirky. - NeurIPS from 1987 - 1997 - Stanford’s CS224n & CS231n projects - Twitter likes from ML outliers - ML Reddit’s WAYR - Kaggle Kernels - Top 15-40% papers on Arxiv Sanity

    15 replies 557 proslijeđenih tweetova 2.433 korisnika označavaju da im se sviđa
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  16. proslijedio/la je Tweet
    12. lis 2019.

    So in 's livestream yesterday he mentioned his 'recent neural qubit paper'. I've found that huge chunks of it are plagiarised from a paper by Nathan Killoran, Seth Lloyd, and co-authors. E.g., in the attached images, red is Siraj, green is original

    229 replies 1.490 proslijeđenih tweetova 4.099 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    9. ruj 2019.
    Odgovor korisnicima

    That 20 papers quote is from Professor Donald Geman of Johns Hopkins, member of the National Academies of Sciences. Here's the link.

    4 proslijeđena tweeta 21 korisnik označava da mu se sviđa
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  18. proslijedio/la je Tweet
    9. ruj 2019.

    I believe I have written more papers than Alan Turing + John Nash! Numbers of papers alone is a wrong misleading metric. Please focus instead on writing good papers that advance the field, help the world, and that you’ll be proud of when you look back in 20 or 50 years.

    Yes, (well, all of ) produces a lot of awesome AI research, but + together produce more (judging by papers!), and + + + produces more than + +
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    31 reply 440 proslijeđenih tweetova 2.100 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    4. ruj 2019.

    Recipe for writing ML paper: 1) Open graduate math textbook at random page 2) Use idea on page to inject "domain knowledge" subnetwork into an already SoTA model, thus adding new params 3) Retrain entire new model + new params 4) Repeat 2 & 3 until beating SoTA Don't do this :)

    5 replies 31 proslijeđeni tweet 248 korisnika označava da im se sviđa
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