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
Quick AnswerThe correct answer is Latent codes to match prior because it directly addresses the core logic of Generative AI.
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).