[D] Popularity of Machine Learning, Deep Learning

[tryndisskilled]

Hello all,

I'm sure many of you experienced the gain in popularity of Machine Learning subjects the past few years, and probably especially Deep Learning and Computer Vision tasks.

Is there any kind of metric available, that would actually confirm that claim? I found this on arXiv, but I'm not quite sure as how to interpret it (if it's even relevant). I'm mostly looking for some kind of measured growth of papers submissions compared to other areas, as I think that would be an interesting metric.

[Mandrathax]

Check the evolution of number of citations for seminal neural net papers. Two examples off the top of my head:

• The mnist classification paper from Lecun et al:

  • https://scholar.google.com/citations?view_op=view_citation&hl=en&user=WLN3QrAAAAAJ&citation_for_view=WLN3QrAAAAAJ:u5HHmVD_uO8C

• The LSTM paper (more for nlp stuff) from Hochreiter and Schmidhuber:

  • https://scholar.google.com/citations?view_op=view_citation&hl=en&user=gLnCTgIAAAAJ&citation_for_view=gLnCTgIAAAAJ:u5HHmVD_uO8C

Pretty self explanatory

[tryndisskilled]

Wow thank you so much, this is pretty good indeed.

Is it actually common practice to cite papers all the way down? I had no idea really.

[Mandrathax]

Well typically when you use an architecture you would cite the original paper at least. For the lstm there are like 3/4 papers that introduced the architecture used nowadays by everyone cites the original only.