Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects?

1 code implementation • 9 May 2020 • Simone Brugiapaglia, Matthew Liu, Paul Tupper

Finally, we demonstrate our theory with computational experiments in which we explore the effect of different input encodings on the ability of algorithms to generalize to novel inputs.