gilbaz

5 ms·

1. 1.▲
   by gilbaz 7y ago

   Yeah but you're assuming that you know how their creating this data. Just throwing an option out there - what if they created a latent space of 3D people and iteratively expanded it with GANs and 2D real image datasets. That would gene
2. 2.▲
   by gilbaz 7y ago

   def not for every situation. I was happy to see that these guys weren't starting from medical use-cases. Way too hard.
3. 3.▲
   by gilbaz 7y ago

   Cool points - "...original dataset without having access to a critical basis set of the original?" I think that they're not trying to copy existing datasets but are trying to generate new datasets that solve various computer
4. 4.▲
   by gilbaz 7y ago

   Good points! Most data is def crap lol. I don't see few shot, one-shot or no-shot getting anywhere close to standard supervised learning for anything practical. It really doesn't make sense in production settings at all. You have
5. 5.▲
   by gilbaz 7y ago

   I would definitely saw that this is extremely hard to accomplish on one hand and on the other if it works it would be a game changer! A good simulation is the holy grail of AI. It solves the data bottleneck once the data can generalize to t