Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
VAE, we can probe the decoder by passing in 1-hot vectors to find out what each dimension of the latent representation is. REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models In some sense REBAR is the successor of Gumbel softmax/Concrete. As we have discussed