3 ms·
Do you have some papers of DL that models probabilities directly? You're not just talking about Bayesian Neural Networks right? I've had ideas for having a neur
by joxel 4y ago
Do you have some papers of DL that models probabilities directly? You're not just talking about Bayesian Neural Networks right? I've had ideas for having a neural network predict both its target and its estimation of error (by using the actual residual in the loss function to compare to predicted error estimation). Is that similar to what you're talking about?
- godelski 4y agoA few thousand in fact. Look for Ian Goodfellow's taxonomy. I'd have more patience but you're demonstrating a clear lack of domain knowledge but spoke with extremely high confidence earlier.
- joxel 4y agoHas anyone ever told you that you’re an asshole? Imagine telling someone you don’t want to talk to them because of hubris while talking to them like you currently are. I also work in DL, I’m an early career employee and have some experience and am interested to learn. I also have publications involving combinations of uncertainty methods and PINNs and show that certain applications of uncertainty modeling do work in those environments for practical solutions. The way you are describing things is just a little different than what I’m used to, and you decided to use that to insult and belittle me.