Learning Higher-Order Programs without Meta-Interpretive Learning — mentioned by YeGoblynQueenne

Thu, 28 Jul 2022 19:26:01 GMT

When I see a title with "toward[s]" in it, the first thing I wonder about is: why "toward[s]"? Why aren't we there yet? Scrolling down to "Performance Results" it's obvious that the results of this approach are creeping upwards at a snail's pace. 40% correct programs when the model is given 1000 "guesses" (one thousand) is the best result out of all reported results. It's the result for the simplest, "intro"-level, problems. Fromt here, results get progressively worse for harder categories, like harder problem sets or "1@k" measurements, where the first program generated by a model is…

Paper and discussion history. A mention is not an endorsement.

Learning Higher-Order Programs without Meta-Interpretive Learning · HackerPapers discussions

Learning Higher-Order Programs without Meta-Interpretive Learning — mentioned by YeGoblynQueenne