Using SliceNet, a convolutional seq2seq model inspired by Xception and ByteNet. Depthwise separable convolutions are the future 
pic.twitter.com/NzeDxrTfr2
Our new paper: state-of-the-art results in machine translation at a considerably reduced computational cost.https://arxiv.org/abs/1706.03059
-
-
-
There are a number of other papers using depthwise separable convolutions, maybe cite/mention them also? Example: https://arxiv.org/abs/1608.04337
End of conversation
New conversation -
-
-
FYI: code for this will be released by end of week.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
How does it compare to https://arxiv.org/pdf/1706.03762.pdf …
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.