Alexander Seifert

@therealaseifert

Computer scientist turned linguist turned philosopher turning back to programming and AI. NLP R&D engineer at , co-running

Vrijeme pridruživanja: ožujak 2009.

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  1. proslijedio/la je Tweet
    4. velj

    A research story with a twist I looked for a neural network regularization method that limited the number of non-zero node activities (L0 group sparsity?) I couldn’t find one. 1/11

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  2. proslijedio/la je Tweet
    4. velj

    Our latest paper, ☢️ Radioactive data: tracing through training, is now on arXiv. TL;DR: you can modify your data in an imperceptible way so that any model trained on it will have an identifiable mark. (1/7)

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  3. proslijedio/la je Tweet

    Kaggle forum mentions tend to be a leading indicator of what takes off. Our forums are closely followed: each topic receives an average of 400 views. 1/3

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  4. proslijedio/la je Tweet
    1. velj

    I just finished The Drunkard’s Walk by Leonard Mlodinow (). It was great and very useful for daily life. I think it deserves to be more widely known. What is another book that is incredibly useful and deserves to be more popular?

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  5. proslijedio/la je Tweet
    28. sij

    Seven design principles from Programming Pearls by Jon Bentley: 1. Work on the right problem. 2. Explore the design space of solutions. 3. Look at the data. 4. Use the back of the envelope. 5. Build prototypes. 6. Make trade-offs when you have to. 7. Keep it simple.

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  6. proslijedio/la je Tweet
    9. sij

    Tough times checklist: 1. Eat well 2. Sleep well and regulate amount (not too little nor too much) 3. Exercise! 4. Meditate 5. Journal 6. Spend as much time surrounded with friends as possible 7. Quickly move away from analysis into action 8. Find meaning in the experience

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  7. proslijedio/la je Tweet
    8. sij

    Interesting post on one of the times GANs were invented in the 90's. (See the final paragraph for a link to the source code, and even coverage in MSNBC!)

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  8. proslijedio/la je Tweet

    A new paper has been making the rounds with the intriguing claim that YouTube has a *de-radicalizing* influence. Having read the paper, I wanted to call it wrong, but that would give the paper too much credit, because it is not even wrong. Let me explain.

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  9. proslijedio/la je Tweet

    How you can beat Amazon with your e-commerce startup: - New distribution: build on top of messaging etc - Mindset: community first, e-comm second - Experience: make it feel like a game, not shopping - MVP = local - Curation: go deep not wide 2020 will show us new ways to shop

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  10. proslijedio/la je Tweet

    Proud to present 's 5th Annual State of Startups Survey. For the first time ever, we heard from 950 founders *and* employees on everything from Glassdoor reviews and remote work to mental health and pressure on CEOs. Here's what they told us:

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

    Alright I’m going to take ’s bait 1 like = 1 take on Trump 😬 The takes might be hot, the takes might be cold, but the takes will be correct.

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  12. proslijedio/la je Tweet

    If you seek an online communication environment in which productive discourse and an enlightened, thriving future can be pursued, read and in and their research below. 1/

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  13. proslijedio/la je Tweet
    17. pro 2019.

    I’m very excited that, after more than half a year of work, we just published our new report: “Keeping Top AI Talent in the United States” It asks (1) how many int'l AI grad students stay in the US?, and (2) how can the US increase that number? Here’s what we found. [1/x]

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  14. proslijedio/la je Tweet
    28. svi 2019.

    Introducing Mercury OS: A speculative vision of the operating system, driven by humane design principles.

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  15. proslijedio/la je Tweet
    16. pro 2019.

    paper on "Merging Weak and Active Supervision for Neural Semantic Parsing": We learn weakly-supervised parsers from question-answer pairs, then add a small amount of human intervention to help resolve the resulting ambiguity.

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  16. proslijedio/la je Tweet
    14. pro 2019.

    so, here are a bunch of stuff i find interesting. no particular order. and definitely not comprehenssive. - creative ways to apply massive LMs. Sure we can fine-tune them with extra supervision. What else can we do with them?

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  17. proslijedio/la je Tweet
    14. pro 2019.

    that's a great question. and going to be a long-ish answer. first, i had that thread mostly to provoke people to point me to cool work. i got some, but hey do send some more. second, i do really feel somewhat bored/frustrated with a lot of what's going on.

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  18. 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

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  19. proslijedio/la je Tweet

    Solo papers are going back into style! They are great because they are like ambitious manifestos that describe a unique idea and boldly broadcast that this is my idea and my idea alone! Here are the latest ones from prominent AI researchers.

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