I expect it will be a few year until it becomes once again necessary to check Arxiv every day for the latest results
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The subfields of AI that will stage the next paradigm shift are still in their infancy (e.g. program synthesis). Much groundwork to be done
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What are the most important papers on it (program synthesis)
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How about the Idea of having Quantum Machine Learning Algorithms?
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@zhongjun_jin I think this is what I was talking about in regards to our Foofah programming synthesis work https://markjin1990.github.io/assets/doc/foofah_full.pdf …Thanks. Twitter will use this to make your timeline better. UndoUndo
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Agree. But what confuses me is that it is unlikely to gain as much training data for program synthesis as other fields where AI are applied.
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What about transfer learning? I would love to hear your thoughts on the future outlook of transfer learning.
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