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[D] 3D Visualization of inheritance for NeurIPS 2018 models.

Hello

I made a visualization of dependencies for some methods of NeurIPS 2018. This graph helped me in my research, and at some moment I realised that it should become public. Now I am preparing it for release.

https://twitter.com/INFORNODEMO/status/1147332691999842305

Graph is built on dependencies between individual models and their components. Simple example: Generative Adversarial Nets (GAN) consist of Generator(GEN), Discriminator (DIS) and Adversarial Training (AT) method, and Adversarial Autoencoder (AAE) is based on DIS, AT and Autoencoder (AE). So for AAE we will have an edge to AE, AT and DIS.

I use it to get associations that can help create something new, and I hope that it will be useful not only for me.

More information coming soon.

Please share and retweet if you are interested in it: https://twitter.com/INFORNODEMO/status/1147332691999842305

submitted by /u/postmachines
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.