So far, we have empirical evidence that shows there is a significant difference between BS and AE in terms of inference time on the clean model and many transform models. Check the column "inference Probability" in
Inference_Time-T_Test.xlsx for the t-test result of inference time of BS and AE on every model.
Question: what is the root cause of this difference?
Investigation idea:
Which part of NN layers (lower layers or upper layers) has more impact on this difference?
measure the time cost for each layer for both BS and AE
Do the inferences of BS and AE result in a different number of neurons to be activated
So far, we have empirical evidence that shows there is a significant difference between BS and AE in terms of inference time on the clean model and many transform models. Check the column "inference Probability" in Inference_Time-T_Test.xlsx for the t-test result of inference time of BS and AE on every model.
Question: what is the root cause of this difference?
Investigation idea:
Which part of NN layers (lower layers or upper layers) has more impact on this difference? measure the time cost for each layer for both BS and AE
Do the inferences of BS and AE result in a different number of neurons to be activated