Re:Collaborative filtering doesn't work for us
by godelski on Saturday August 21, 2021 @01:47PM
(#28258953)
> one week per iteration isn’t good.
Try training Imagenet. For some reason this is called a "medium" sized data set.
I do want to point something out though that's a big problem with a lot of your comments. We're seeing the results of what happens when you "just implement a DL pipeline." Lots of people are using these powerful tools without understanding. It's like handing a monkey a machine gun. We're seeing that models don't generalize like people think they do. We're seeing people use models pre-trained on ImageNet or CelebA and think that there is no bias in them. When people are saying you need to learn theory, this is really what they are concerned with.
Try training Imagenet. For some reason this is called a "medium" sized data set.
I do want to point something out though that's a big problem with a lot of your comments. We're seeing the results of what happens when you "just implement a DL pipeline." Lots of people are using these powerful tools without understanding. It's like handing a monkey a machine gun. We're seeing that models don't generalize like people think they do. We're seeing people use models pre-trained on ImageNet or CelebA and think that there is no bias in them. When people are saying you need to learn theory, this is really what they are concerned with.