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That's a good point, as far as I know there's no examples of cross-domain learning. There's new work in NLP for cross-task transfer learning, but that's as clos
by claytonjy 8y ago
That's a good point, as far as I know there's no examples of cross-domain learning. There's new work in NLP for cross-task transfer learning, but that's as close as it gets at the moment.
It's hard to imagine there's anything to learn from handwriting images that could apply to turbine failure; a much broader kind of multi-task model than anything well see for awhile.
- Dzugaru 8y agoThe argument is still false. You can very well get an advantage from vast amounts of data in similar domains. And more importantly you can have ML insights not possible without it. What if ImageNet was not open to the public? Would we get an AlexNet breakthrough?