HN Theater @HNTheaterMonth

If you are interested in machine learning, I thought this was a very thought provoking lecture:

https://youtu.be/N5oZIO8pE40

⬐ tim333

transcript: https://pastebin.com/Y8dJtJfB

⬐ hyperbovine

This cryovac solo guy really knows his stuff.

⬐ pixelpoet

Nothing less from the son of the captain of the Millennium Falcon.

⬐ stochastic_monk

Thank you, I wasn't willing to watch for 45 minutes.

⬐ shpx

Click the triple dot underneath and to the right of (almost?) any video on youtube, click "Open transcript" and read.

⬐ tim333

It's actually quite awkward to read in that format. They should some kind of easy to read view.

⬐ lstamour

As a warning, this transcript was auto-generated. I had better luck turning on closed captions and following along at 2x speed.

⬐ claar

Reflowed the transcript to 80 characters: https://pastebin.com/aQmKc0WQ

⬐ nurettin

Censored in Turkey :-(

⬐ huseyinkeles

https://gist.github.com/WhoSayIn/4a6fc0e124297b8eaa70a521da4...

⬐ platz

Perhaps interesting for graduate students and professors and industry professionals, but i think is pretty far beyond comprehension for those with only basic understanding of machine learning.

⬐ mxwsn

The last third of the talk where he actually discusses work that could be considered to regard generative agents appears to be a deep learning version of the Bayesian model presented three years ago accompanying the initial release of the Omniglot dataset.

http://science.sciencemag.org/content/350/6266/1332.full

Pdf can be found free by googling the paper title

⬐ igravious

Yeah, from here: https://youtu.be/N5oZIO8pE40?t=31m38s

From where he says, “Now why did we want to do that?” :)

edit:

He starts talking about SPIRAL. (Cute name.) “Synthesizing Programs for Images using Reinforced Adversarial Learning” Link here: https://deepmind.com/documents/183/SPIRAL.pdf

Authors: Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals