A typical fix for mode collapse is:
Answer options
A
Careful architecture choices, regularization, or alternative losses
B
Deleting the discriminator entirely
C
Using smaller batches only
D
No training at all
Correct answer: Careful architecture choices, regularization, or alternative losses
Explanation
Quick AnswerThe correct answer is Careful architecture choices, regularization, or alternative losses because it directly addresses the core logic of Generative AI.
Mode collapse occurs when a GAN generator produces only a limited variety of outputs, ignoring parts of the real data distribution. It is a training instability common in GANs.