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Hi,
Thanks for your great work!
I want to know how to do the relative position representations in causal-linear model
Thanks for your help
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Hello, thank you for introducing nice work and code!
I have a question about separable 4d convolution.
Is the WTA operation explicitly applied to the 4d separable convolution? In the code, I can…
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Our last discussion concluded that conditional distributions should be implemented as wrappers. This seemed like the natural choice as wrappers inherit methods from `DistributionWrapper` that get all …
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Hello.
Your paper is really interesting and impressing.
And I have a question about your network.
I changed CDilated class in Model.py to speed up the network.
I apply factorization to CDilated cl…
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I'm looking for a faster semantic segmentation architecture and comparing ENet and ERFNet these days.
In my understanding, ERFNet should run around two times faster than ENet according to the paper.
…
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Hi there,
You posted a comment on https://github.com/bnulihaixia/Deep_metric/issues/5#issuecomment-410479866 and I checked out your work here, nice job!
During my research around this loss, I fo…
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Hi
This Library is a great idea and has a lot of potential for model selection! Thank you!
I have been adding a couple of enhancements to my fork. Essentially I just wanted to use validation loss…
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http://arxiv.org/abs/1608.04337.
Can you implemented it with mxnet?
I heard it has been done with tensorflow.
@tqchen @piiswrong
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I'm trying to build a network of layers with channel-wise separable convolution. (Just like the paper [Factorized CNN](http://128.84.21.199/abs/1608.04337))
I've found that separable_conv2d and depth…