> But, separate ablation study found that if you just drop confidence bit altogether and allow RNN to compute some more every time (e.g., always perform 4 compu

> But, separate ablation study found that if you just drop confidence bit altogether and allow RNN to compute some more every time (e.g., always perform 4 computations on single input for 1 output), you get same or better results without extra complexity of training. Do they saw what happens if you do both? Perhaps the “benefit from a higher computation/per cycle” phenomena and the “benefit from signalling relative computation resource allocation” one are different. I guess I’ll have to try and read the paper, but I’m new to the literature and am clueless about the current state of research.