Shen Zhuoran
Shen Zhuoran
Hi Chandler, The visualization code was inside the code base of my company at that time. Because it was not part of this open-source project, I believe they will not...
> @cmsflash In the image above (Figure 3 in paper), the description is that it is the visualization of attention maps from the efficient attention module. Yet, you mentioned here...
Could you provide more specific numbers (i.e. exact FLOPs and memory)?
Thank you for the answers! If it's slower per-step, then it's quite hopeful to accelerate KAN by writing some efficient kernels. The KAN operations look pretty hardware-friendly. On Thu, May...
I see. Looking forward to the journal version. Please inform me when it's available. Thank you!
Fixed in #2, if the maintainer has time to approve.
@imdreamrunner This issue is solved by #2 and can be closed.
@imdreamrunner
Yep, I am indeed effectively talking about Manfold Mixup for TokenMix/CutMix. The Manifold Mixup paper is very interesting and thank you so much for bringing it up. I haven't tried...
Great! Do you want to share the results on this issue or somewhere else?