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GRAM-nets · Apr 13, 2020 · 0b7d51e · 0b7d51e
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diff --git a/.gitignore b/.gitignore
@@ -1,2 +1,3 @@
 .DS_Store
+videos/
 *.code-workspace
diff --git a/iclr2020.md b/iclr2020.md
@@ -27,6 +27,8 @@ Adversarial Generative Models(GANs, MMD-GANs)
 
 ## Overview
 
+Two steps in the training loop
+
 1. Learn a projection function ($f_\theta$)
    - that projects the data ($p_x$) and the model ($q_x$) densities into a low-dimensional manifold which,
    - preserves the difference between this pair of densities.

diff --git a/iclr2020.pdf b/iclr2020.pdf