Hi, at first thanks for launching round 2 of this exciting and interesting challenge!
I’ve just read through updates at round 2, and was a little bit surprised by the change of post purchase training part.
I know it’s for making us focus more on purchasing strategy, but in my humble opinion it should be jointly optimized with the post purchasing training part. For example, we may want to change model size when the computing budget is small. Or, sometimes we may not want to use the ImageNet pretrained model as it is without any extra finetuning.
I understand what makes this competition unique is the purchasing phase, but I guess what the host wants is a strong classifier for each computing and labeling budget, isn’t it?
To maximize the chance to achieve it, I’d like to suggest allowing participants to modify post training code.
Thanks, welcome to any opinion!