kdoherty
Joined 11 years ago
Joined 11 years ago
Given that they are probably making more than the current interest rates by investing, I wonder why students still pay so much for tuition at these universities in particular.
>Only barely. For important life decisions/paths, people only learn from their own mistakes (and often not even from those).
>Heck, Computer Science as a field itself forgets its own collected wisdom every new generation hits the market, and re-invents BS that other eras have tried and buried with another fad name.
Your last statement sounds like it's in favor of "learning from the mistakes of others" in that we could avoid re-inventing failed "BS" if we learned from others' mistakes. Are you saying that the idea that folks in CS re-invent work which has previously failed is evidence that it is not possible to learn from the mistakes of others?
The answer is yes, but not in the way that one might think. Despite the fact that we seed the GAN with input noise, there is no guarantee that the GAN makes use of this at all. This is a theme with GANs: we often want to imbue them with prior knowledge that we think is important, but is easily ignored by the GAN. In this case, we want to generate samples from p(x|z), where x is in the space of our data (often images, in this case passwords), but provided it gets good results according the the loss function, your GAN may learn p(x|z)=p(x). This is fine if you don't care about enforcing some relationship between input and generated samples, but here we do.
One solution is to use InfoGAN (https://arxiv.org/abs/1606.03657), which adds a term to the loss function that the mutual information between a latent code and the generator output must be high. Your latent code might be drawn from a uniform distribution on [-1,1], and the generator output will be conditioned on this code. This being continuous, it's questionable what "iterate" might mean. On a computer, maybe you iterate through every possible float (as someone mentioned), but if you want to generate N different samples, you could also discretize this distribution to N values on the given interval, each with probability 1/N and sample from this PMF.
Edit: My bad, after reading the Conditions Governing Use I found this: "Photocopies and photographic copies of material in the archive can be supplied for private study purposes only, depending on the condition of the documents." So it looks like these written summaries are all we can get?
I'd love to see official work that explores that angle (rather than a claim from an interview, which is what the Wikipedia article refers to), I just haven't seen any document/study about it yet.
What I wonder when I see these statistics, though, is whether all miles are really equal? For example, are Tesla drivers more comfortable using Autopilot in "easy" driving situations? Is there really a one-to-one correspondence in the distribution of the kinds of miles driven with Autopilot on vs. normal cars?
Furthermore, the metric commonly cited is "fatalities ever N miles." Are there fewer fatalities because Autopilot is great, or because Teslas are safer in general? Has there been a comparison between fatalities with/without Autopilot strictly on Teslas? Even then, it seems to me we are subject to this potentially biased notion of "miles" I mentioned previously. The Wikipedia article you mentioned cites a 50% reduction in accidents with Autopilot, but the citation is to an Elon Musk interview. I haven't yet seen anything official to back this up, but if anyone has any information on this, I'd love to see it!
There is a great talk (video online here: https://www.facebook.com/WoodsHoleOcean/videos/1015459031268...) by Richard Alley where exactly this phenomenon is mentioned (see Q&A at ~50:55 in the video, though I highly recommend watching the whole thing).
For the same reasons, I have nothing against people who "do anything that resembles anything that has been done before," and I certainly wouldn't attempt to discourage the author. I'm sorry if that cartoon is over-referenced (in attempts to be negative), I can't really control that, but I think it's something to think about when starting a new project (i.e. what is your goal, does it differ from other projects, is that important to you?)
Sorry if my comment seemed like I was shooting this down, I certainly had no intent of doing that.