One interesting thing about deep learning is that even as ever better results surface, everything we know about NNs is probably wrong. A short list (in rough chronological order): - "you need to pretrain a NN" - "NNs require thousands of datapoints to train" (1/10)
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How do you learn to map horses and zebras with no bilingual examples of what a zebrafied horse or a horsified zebra is? https://arxiv.org/abs/1711.00043
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Hmm, so it uses a bilingual dictionary rather than bilingual corpus. That’s cool… following up on that, the bilingual dictionary is also learned without any bilingual pairs, which is described here: https://arxiv.org/pdf/1710.04087.pdf …
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Unless this is the language A->C->B without an A/C corpus thing? Which is kinda function composition.
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I mean without A/B corpus
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