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See title, as we all know, the DynamicConv has claimed that it achieved the state-of-the-art performance in many tasks (e.g., WMT14 ende). But I find that DynamicConv was never mentioned in your paper.
Would your team wanna conduct comparison experiments? Just like the issue659 in repository pytorch/fairseq
The text was updated successfully, but these errors were encountered:
See title, as we all know, the DynamicConv has claimed that it achieved the state-of-the-art performance in many tasks (e.g., WMT14 ende). But I find that DynamicConv was never mentioned in your paper.
Would your team wanna conduct comparison experiments? Just like the issue659 in repository pytorch/fairseq
The text was updated successfully, but these errors were encountered: