Viewing profile — throwaway_bob

FAIR, DeepMind, Brain, MSR and many others all employ large numbers of people working on pure research with no immediate business application, and with at least as much freedom as …

honestly, then y'all are mostly responsible. If you are going to have a younger student do a guest blog post, you should make sure that the project makes sense technically, or at l…

I think you are missing the parent's point. A CNN is a more complicated model, not a simpler one- it is better to try simple linear classifiers on bags of word or bags of bigrams o…

The exact phrasing matters too, I guess. There are lots of ways to find a good packing, and even good bounds on how far your good packing is from the global optimizer. So a reasona…

Note that the fact that this can be easily accomplished in VW doesn't really take away from the message the authors are trying to make; namely, simple models done carefully are nea…

I lived on henry street for a while, and I can't say that I know anything about the back end of the distribution network, but I can say this article is missing a lot of things abou…

You do realize that these things were already being studied in the 90's, right? The Grefenstette paper mentioned in this article makes use of an architecture from Das et al. in 199…

when he says "probability", what space does he mean? This analysis does not seem very careful.

any visualization of these algorithms in 2 dimensions (with cubic feature expansion!) is completely misleading if you intend to work on any real problem with many dimensions. Also,…

Just because wired says something doesn't make it true. Whatever other accomplishments he may have, Le was not a contributor to word2vec, and he did not originate the idea of mappi…

pacman already takes place on one of these tori

the fact that random noise can be classified as strongly belonging to some class, and the fact that classification results can be unstable, is simply a result of the fact the input…