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> The classic solution to "too little data" is use a simpler and/or less discriminating model. It's still the only one with a good track record. Kind of, trans
by ivalm 7y ago
> The classic solution to "too little data" is use a simpler and/or less discriminating model. It's still the only one with a good track record.
Kind of, transfer learning is an important tool that people should use more.
- ska 7y agoTransfer learning is nothing like a silver bullet. True, it has become an important work around but it's no panacea and the track record is at best mixed. People already use it quite a lot. More importantly they misuse it a lot. I'd be less concerned with increasing the usage, and more concerned that the people using it understand the implications and trade offs.