Probably off topic or too early:
There are lots of competitions / benchmarks trying to improve the speed (in combination with accuracy) of machine learning models. Are there also competitions / benchmarks on trying to limit the number of training examples?
I’m impressed by results so far, but I would be more overwhelmed if we could lower the number of training examples. E.g. my 3 year old son only needs to see 2 dinosaurs to get the concept of a dinosaur and recognise them. How can we be inspired by this? Eg give some additional meta info, like text from wikipedia
‘Cats are similar in [anatomy] to the other felids, with a strong flexible body, quick reflexes, sharp teeth and retractable claws adapted to killing small prey.’
Is there any research / benchmarks in this direction?