Comment by jxmorris12
2 months ago
Right, that's why the baselines here come from the land of Optimal Transport, which looks at the world through isomorphisms, exactly as you've suggested.
The GAN works way better than traditional OT methods though. I really don't know why, this is the part that feels like magic to me.
Got you. I can understand that this has a chance of working if the embeddings have converted to their global optimum. Otherwise all bets ought to be off.
All the best.
I can totally understand the professors point, little bit of alignment data ought significantly increase the chance of success. Otherwise it will have to rely on these small deviations from symmetry to anchor the orientation.
Yeah, we didn't get around to testing what the impact would be of having a small amount of aligned data. I've seen other papers asserting that as few as five pairs is enough to go a long way.