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inspired2apathy t1_j9jsbz6 wrote

Reply to comment by hpstring in [D] "Deep learning is the only thing that currently works at scale" by GraciousReformer

It's that entirely accurate though? There's all kinds of explicit dimensionally reduction methods. They can be combined with traditional ml models pretty easily for supervised learning. As I understand, the unique thing DL gives us just a massive embedding that can encode/"represent" something like language or vision.

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hpstring t1_j9jxzpm wrote

Well the traditional ml + dimensionality reduction cannot crack e.g. imagenet recognition

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inspired2apathy t1_j9jzpqw wrote

Other models like PGMs can absolutely be applied to ImageNet, just not for SOTA accuracy.

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