BWN/XNOR SqueezeNet training

Hi,

I've been trying to train SqueezeNet in both configurations(bwn and xnor), but I can't get past 31% (24% respectively) top-1 accuracy (I was expecting accuracies similar to alexnet). I tried something similar to the GoogLenet variant depicted in the paper (I replaced the expand layers with straightforward convolutions with kernel sizes of 3x3, so there is no branching).

Have you tried to train this model? If positive, can you, please, tell me how did you do it?

Thank you,
Alex

ping @mrastegari