3 ms·
> Using NVIDIA TITAN Xp and GeForce GTX 1080 Ti GPUs, with the cuDNN-accelerated PyTorch deep learning framework for both training and inference > the team bas
by mraison 8y ago
> Using NVIDIA TITAN Xp and GeForce GTX 1080 Ti GPUs, with the cuDNN-accelerated PyTorch deep learning framework for both training and inference
> the team based their algorithm on the pix2pixHD architecture developed by NVIDIA researchers
Is it me, or is NVIDIA trying very hard to take credit for this UC Berkeley paper? (they're almost taking credit for Pytorch as well). Sure, this kind of work wouldn't be possible without their hardware, but in that case Intel could probably take credit for most of science in the last few decades.
- deleted 8y ago[deleted]
- mattmanser 8y agoIt's on the nvidia site, it's either been edited by them, or they supplied the cards or part funded the work.
- mraison 8y agoThere's no mention of it in the paper. The acknowledgements section says: > This work was supported, in part, by NSF grant IIS-1633310 and research gifts from Adobe, eBay, and Google The fact that people are thinking "it's on the nvidia site, they must have participated somehow" is precisely the reason I wanted to bring this up.
- anjc 8y agoHow does that seem like taking credit? They aren't saying they're using NVIDIA hardware, they're saying it developed it from NVIDIA work, i.e. pix2pixHD, no? It also seems as UC Berkeley and NVIDIA collaborated on pix2pixHD, judging by the paper
- twtw 8y agoIt's a company blog. It exists to highlight applications of the company's products. I don't see why you are bothered, both of those statements are factually true.
- mraison 8y agoNormally I wouldn't be bothered, but in this case I saw people being misled into thinking Nvidia did this work. Given Nvidia publishes a lot at computer vision conferences, there's a higher than usual potential for confusion.