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qumpis

HN member
Joined
Fri, Aug 27, 2021, 1:27 PM UTC
HN karma
229
Public activity
194 items

About qumpis

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Recent public activity

  1. comment
    Comment #47387499

    I may never understand what harness means - it's used in so many contexts

  2. comment
    Comment #43342784

    What happens if we don't add any moments matching objective? e.g. at train time just fit a diffusion model that predicts the target given any pair of timesteps (t, t')? Why is mome…

  3. comment
    Comment #39703312

    Fascinating article. I wonder what made her do the steps in finding what's "different" with her, and most of all, why the need to fix it arose. Is it to "fit in", understandably? I…

  4. comment
    Comment #39477520

    Yes it makes sense a bit. Many popular convents operate on 3x3 kernels. But the number of channel increases per layer. This, coupled with the fact that the receptive field increase…

  5. comment
    Comment #39476050

    Convolutions are bad at long range spatial dependencies? What makes you say that - any chance you have a reference?

  6. comment
    Comment #38835022

    I haven't seen RL with decision trees! it sounds really interesting. Any classic results worth looking into?

  7. comment
    Comment #38792397

    Toll noticable only back in those days or even in the future?

  8. comment
    Comment #38789276

    Was it more productive, objectively speaking, than being consistent and not dealing with the constant drainage due to severely lacking sleep?

  9. comment
    Comment #38670691

    Can you give some example usecases of your application? I wonder how it scales to complex (in terms of structure) information processing, e.g. digesting scientific topics

  10. comment
    Comment #38637727

    So therapy is not effective as per the paper. This seems like an astounding conclusion. Has anyone read the paper in detail and has a deeper opinion?

  11. comment
    Comment #38525201

    How does this differ from RNNs and their gating mechanism?

  12. comment
    Comment #38427994

    From the glance of it, the paper looks very polished. Combine this with the fact that arxiv is invite-only, your prediction might not come about

  13. comment
    Comment #38418402

    How big and random were these "few extras"?

  14. comment
    Comment #38289656

    I've got good results with white noise, not sure if that's something that would work for you. And of course I didn't suggest that this eliminates other distractions.

  15. comment
    Comment #38278238

    Why not put these earbuds in the office?

  16. comment
    Comment #37951397

    "Ar5iv" does a pretty good job from my experience

  17. comment
    Comment #37368718

    A bit surprising to hear that you weren't swimming in offers to hire you all the time. Any idea why that was? Maybe you're somewhat picky about the job and responsibilities that co…

  18. comment
    Comment #37079224

    Slightly related but sparsity-inducing activation function Relu is often used in neural networks

  19. comment
    Comment #36953998

    I don't remember the exact tweet, but here's one discussion [1]. I guess something changed in the mean time. [1]_ https://www.reddit.com/r/Amd/comments/140uct5/geohot_giving_...

  20. comment
    Comment #36953499

    Didn't they abandon development of AMD related software?

  21. comment
    Comment #36743379

    Why did you start the blog? Was the reason to stand out or something else?

  22. comment
    Comment #36731690

    To me the acceleration of the touchpad of macbooks feels unnatural, even after prolonged used. And this is coming from a linux user on an XPS. It's so rare to find this opinion bei…

  23. comment
    Comment #36556615

    Maybe OP doesn't travel a lot. Or is a taxi driver :)

  24. comment
    Comment #36556587

    That's an interesting morning routine. Why do you do so (do you work in 'measurement' industry?)?

  25. comment
    Comment #36474594

    Sorry to hear that. I guess you experienced major setbacks in your life this year?