Introduction to The Gumble Max Trick
Exploring The Gumble Max Trick reveals several interesting facts. This video discusses
The Gumble Max Trick Comprehensive Overview
Today we start with Eric Jang, Shixiang Gu and Ben Poole Chris J. Maddison, Andriy Mnih and Yee Whye Teh --- Bayesian Deep Learning Workshop ... Categorical Reparameterization with
This talk describes what the
Summary & Highlights for The Gumble Max Trick
- Four samples (i.e. noise samples) shown in the top right, MLE shown in bottom right, temperature value shown on the left.
- A Review of
- ... categorical variables using
- A Review of
- Visualization of Effects of Alpha, Noise, and Temperature on Gumbel-Softmax Samples and Expectations
Stay tuned for more updates related to The Gumble Max Trick.
