3 ms·

So this is for quickly training different architectures for the same task? Which is very neat, but it makes the headline seem a lot more like click-bait (I'm n

So this is for quickly training different architectures for the same task? Which is very neat, but it makes the headline seem a lot more like click-bait (I'm not sure what I expect these days...) It's kind of like a more advanced version of hyper-parameter tuning which has been done in more primitive forms for a long time. But this approach definitely seems powerful.

cs702 5y ago
> So this is for quickly training different architectures for the same task? It's for instantly training/pretraining any architecture for one or more predefined tasks (e.g., you could have a GNN for visual tasks, a GNN for NLP tasks, etc.), but you could also have a multi-domain GNN which accepts two inputs: an architecture and a domain.