RobNets
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How to do archchtecture search on supernet?
Hi, in your paper, you say "After training the supernet, we randomly sample 1,000 architectures from the supernet and finetune each of them for 3 epochs", how to do this? Constructing a network according to a randomly generated genotype_list and evaluate this network?
I believe you have got the correct understanding of it.
The released train codes are not for training super-net, right? I find it is hard to train super-net without detail setting. Could you please release the codes or configs for training super-net?
right, btw, how you split the validation and training set during architecture search? @gmh14
@815961618 @gmh14 Is there a way to obtain the trained super-net on any dataset?