Learning can be achieved by a one-shot learning process (in which each prototype is presented only once) as follows
and then after some math notes that
Several authors [2] have proposed the latter relation for one-shot learning, taking into account all second-order interactions, and have investigated the storage capacity, size of the basins of attraction, etc., for random uncorrelated patterns.
suggesting that there was already moderately active discussion of the term in the eighties.
Thanks for looking into it! It’s really interesting to see computer vision research from before the deep learning revolution.
Here’s a 1984 paper that uses the term “one-shot”, apparently in the same sense as today.
A 1987 paper mentions that
and then after some math notes that
suggesting that there was already moderately active discussion of the term in the eighties.