Viewing profile — therajiv
therajiv
HN member- Joined
- Fri, Jan 01, 2016, 1:28 AM UTC
- HN karma
- 175
- Public activity
- 25 items
- HN profile
- View on Hacker News ↗
About therajiv
No profile information was provided.
Recent public activity
-
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…
-
comment
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…
-
comment
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 …
- story
- story
-
comment
Comment #14887061
NYT and Nature News.
- story
-
comment
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…
- story
-
comment
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…
-
comment
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.
-
comment
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…
-
comment
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…
-
comment
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…
- story
-
comment
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…
-
comment
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…
-
comment
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 …
-
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 …
-
comment
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…
- story
-
comment
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…
-
comment
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…
-
comment
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…
- story