Math insights for InfoGANs, VAEGANs, CycleGAN and more ( Generative adversarial networks papers )
Channel: Crazymuse
Date: 2018-07-16

Guys, here's my long-awaited mashup of 10 different GANs(Generative Adversarial Networks) papers with not soo cool rapping :p. The focus is on math intuition which is driving the paper. So enjoy and share it with your nerdy and not so nerdy friends.

Minor Mistake : 
In CycleGANs, at 7 minute 20 second, the mapping needs to be reverse on right side.


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Thanks to my current patrons for supporting the work :  
1. Parth Parikh
2. Laher .D
3. Sean Marrett
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The video covers : 
1. InfoGANs https://youtu.be/r3L3JT_TLTM?t=68
2. Relativistic GANs https://youtu.be/r3L3JT_TLTM?t=203
3. CycleGANs https://youtu.be/r3L3JT_TLTM?t=388
4. SAGANs https://youtu.be/r3L3JT_TLTM?t=477
5. Progressive GANs https://youtu.be/r3L3JT_TLTM?t=547
6. DCGANs https://youtu.be/r3L3JT_TLTM?t=627
7. WGANs https://youtu.be/r3L3JT_TLTM?t=763
8. BEGANs https://youtu.be/r3L3JT_TLTM?t=834
9. VAEGANs https://youtu.be/r3L3JT_TLTM?t=971
10. Seq GANs https://youtu.be/r3L3JT_TLTM?t=1061

For having two-sided live discussion, we also organize google hangouts on the meetup. You might wanna join it: https://www.meetup.com/crazymuse/
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Arxiv Links : 

1. InfoGANs https://arxiv.org/abs/1606.03657
2. Relativistic GANs https://arxiv.org/abs/1807.00734
3. CycleGANs https://arxiv.org/abs/1703.10593
4. SAGANs https://arxiv.org/abs/1805.08318
5. Progressive GANs https://arxiv.org/abs/1710.10196
6. DCGANs https://arxiv.org/abs/1511.06434
7. WGANs https://arxiv.org/abs/1701.07875
8. BEGANs https://arxiv.org/abs/1703.10717
9. VAEGANs https://arxiv.org/abs/1512.09300
10. Seq GANs https://arxiv.org/abs/1609.05473

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Personal Anecdotes

Blogs by Marie, ( https://twitter.com/decodyng) inspire me to make relatable content. Her blogs make  math intuitions in GANs look extremely simple without big terms.  ( https://docs.google.com/document/d/1SnJe07u0oESoAT2BPdj_0t6xaIRYmk0RN0DlrHyqMEo/edit )
Blog by vincent ( https://vincentherrmann.github.io/blog/wasserstein/ ) is a must read for people interested in math intuition behind WGANs.

Best youtube channel for understing ML is . . . Arxiv Insights. I love this channel a lot because it talks about math intuitions and digs deep into a topic, which is precicely what a researcher likes. Subscribe this channel too  : https://www.youtube.com/channel/UCNIkB2IeJ-6AmZv7bQ1oBYg

Cool then. So like every youtube, my parting words would be: subscribe the channel, press the bell icon and share the video :D

See ya next time homie :)