You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, Thanks for your amazing loss function.
After reading your papers, I have the following question:
So how to get this equation? I find it looks like softmax function and why c is set to 1 here. How to ensure that this equation can make a good tradeoff between α and training weights.(Actually I can hardly find the proof in your paper. Could you please give some suggestions?)
Thanks.
Moreover, in your codes, I can not find μ in https://github.com/jonbarron/robust_loss_pytorch/blob/master/robust_loss_pytorch/general.py.
It should be ρ (x − μ, α, c), but this function is ρ (x, α, c)
The text was updated successfully, but these errors were encountered:
Hi, Thanks for your amazing loss function.
After reading your papers, I have the following question:
So how to get this equation? I find it looks like softmax function and why c is set to 1 here. How to ensure that this equation can make a good tradeoff between α and training weights.(Actually I can hardly find the proof in your paper. Could you please give some suggestions?)
Thanks.
Moreover, in your codes, I can not find μ in https://github.com/jonbarron/robust_loss_pytorch/blob/master/robust_loss_pytorch/general.py.
It should be ρ (x − μ, α, c), but this function is ρ (x, α, c)
The text was updated successfully, but these errors were encountered: