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> it is possible to smartly choose the correct few samples for the network that yield the same results. And then, someone is using pretrained 500B model, and f
by riku_iki 5y ago
> it is possible to smartly choose the correct few samples for the network that yield the same results.
And then, someone is using pretrained 500B model, and fine-tuning your few examples, and getting new SOTA.
- deleted 5y ago[deleted]
- YeGoblynQueenne 5y agoThey might get new SOTA because the metric is accuracy, but if the metric was accuracy weighted by sample efficiency, then SOTA would look a lot less impressive. Simplest way to weigh by sample efficiency: multiply accuracy by ratio of test set to training set sizes. Everyone's training/testing on 80/20 splits, so everybody's SOTA would go down by 3/4s.