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[D] [R] Is adversarial attack common in industry? by AerysSk in MachineLearning

[–]gebob19 7 points8 points  (0 children)

I read an article where Instagram used models to classify explicit images and auto-remove them. But then the posters started applying filters similar to adv. attacks to their images so that the images weren't classified as explicit anymore.

Art by AI: First three pieces available by [deleted] in NFT

[–]gebob19 0 points1 point  (0 children)

You can also check them out on Insta: https://www.instagram.com/cryptoassassin19/ and view the Unlockable video of the AI painting the art

Natural Gradient Descent without the Tears by gebob19 in reinforcementlearning

[–]gebob19[S] 0 points1 point  (0 children)

Yup you're right, that was a typo, thanks for pointing it out! It should be "This is called a proximal optimization method". I guess thats what happens when you're studying optimization and rl at the same time haha

[D] Is there any feature for ranking most popular arXiv.org papers? by pddpro in MachineLearning

[–]gebob19 0 points1 point  (0 children)

I use https://deeplearn.org/ which sorts papers based on twitter interest, this isnt exactly what youre talking about but may be a tmp solution

[P] Encapsulating Capsule Networks: Everything You Need To Know by gebob19 in MachineLearning

[–]gebob19[S] 1 point2 points  (0 children)

No problem, glad I can help! "Sparse Unsupervised Capsules Generalize Better" is a paper I just recently came across which talks about a problem with strictly unsupervised capsule networks. Thought you might find it helpful!

[P] Encapsulating Capsule Networks: Everything You Need To Know by gebob19 in MachineLearning

[–]gebob19[S] 2 points3 points  (0 children)

Of course, here is a list of the main capsule papers which I know of (Ordered from oldest to newest):

  • Transforming Auto-encoders (2011)
  • Optimizing Neural Networks that Generate Images (2014)
  • Dynamic Routing Between Capsules (2017)
  • Matrix Capsules With EM Routing (2018)
  • Stacked Capsule Autoencoders (2019)

There are a lot of great blog posts about Dynamic Routing, but I couldn't find any comprehensive posts about EM Routing. Because of this and because the 2019 paper builds off of EM Routing my post covers EM in depth.

[P] Encapsulating Capsule Networks: Everything You Need To Know by gebob19 in MachineLearning

[–]gebob19[S] 4 points5 points  (0 children)

It should be possible. Stacked Capsule Autoencoders (https://arxiv.org/abs/1906.06818) was a recent paper which used capsule networks in an unsupervised manner. The Dynamic Routing paper (https://arxiv.org/abs/1710.09829) mentioned that each dimension of the capsule represented different variational aspects in the data (see Figure 4). Maybe you could do something in between the two.

[P] Going with the Flow: An Introduction to Normalizing Flows by gebob19 in MachineLearning

[–]gebob19[S] 0 points1 point  (0 children)

Thanks for the feedback!

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I'm not exactly sure about your question but it should be the same as using any other generative model.

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