KL term in VAE encourages:
Answer options
A
Latent codes to match prior
B
Latent codes to diverge
C
Higher overfitting
D
Removing decoder
Correct answer: Latent codes to match prior
Explanation
The KL divergence term in VAE loss regularizes the encoder by encouraging the latent code distribution to stay close to the prior (typically a standard Gaussian).