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therajiv

HN member
Joined
Fri, Jan 01, 2016, 1:28 AM UTC
HN karma
175
Public activity
25 items

About therajiv

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Recent public activity

  1. comment
    Comment #40962544

    I've tried a few online jeopardy simulators before, but have always just ended up going back to hunching over a laptop together with my friends on j-archive. This looks much more c…

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    Comment #38462908

    Are applications like batteries, semiconductors, solar panels, etc. bottlenecked by the number of available materials? Also, I wonder if the discovered materials are kind of "inter…

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    Comment #17481505

    Seems like this could have dramatic effects on some professions where 60+ hour workweeks are typical even outside of Korea, e.g. being an early startup employee or adhering to the …

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    Comment #14887061

    NYT and Nature News.

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    Comment #14867958

    I ran into this guy randomly at MIT once, during the offseason (last February). He was such a chill guy. Hearing this news makes me like him even more - he's not letting one of his…

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    Comment #14797805

    TLDR is that models will become more abstract (current pattern recognition will blend with formal reasoning and abstraction), modular (think transfer learning, but taken to its ext…

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    Comment #14794188

    You provide great examples, thanks. I guess I was just hoping that the article would spell out those situations as clearly as you did.

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    Comment #14794098

    Sorry if I came off that way, that's not at all what I meant. My comment was more along the lines of putting a face to statistics; reading about the numbers of people dying is a we…

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    Comment #14794087

    It's not clear to me how malicious actors can manipulate this observation to confuse self-driving cars. That said, I don't think this discredits the point of the article; it's impo…

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    Comment #14794057

    I knew Maryam was incredible the first time I heard her give a talk at Stanford. To my fellow cancer researchers out there: this is about as good motivation as we'll ever have to k…

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    Comment #14790841

    This is exactly my point - the danger of "anthropomorphization" lies in taking the brain analogy too far. That is, there shouldn't necessarily be a link between research in neurosc…

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    Comment #14790570

    As someone primarily interested in interpretation of deep models, I strongly resonate with this warning against anthropomorphization of neural networks. Deep learning isn't special…

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    Comment #14789794

    Well, the data wasn't showing that the past few years were anomalous; rather, there were fewer high-magnitude earthquakes than expected. I don't think this has anything to do with …

  19. comment
    Comment #14789683

    Wow, the discussion on the Fukushima civil engineering decision was pretty interesting. However, I find it surprising that the engineers simply overlooked the linearity of the law …

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    Comment #14772418

    I'm surprised this works well. If the method is a state-of-the-art convolutional neural network architecture, you generally would need more than 10 images -- even with transfer lea…

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    Comment #14740285

    Wow - literally just saw an article about RescueTime on the frontpage of NYT ( https://www.nytimes.com/2017/07/05/your-money/where-does-the... ). And installed it 5 minutes ago. Co…

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    Comment #14733306

    I'll agree with you that it's much harder than it should be (thankfully, finding the implementations is the hard part, not using them), but yes, these methods do exist. DeepLIFT (t…

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    Comment #14733167

    The author discusses how linear models are generally more interpretable than deep learning methods, but I'd argue that's actually changing pretty quickly. Especially for large imag…

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