-
Mediocre performance on methods so far => could try adversarial setting of follower-leader.
- Implement regularization for policy (encourage exploration + can be seen as adversarial setting)
Poten…
-
#### Learning Goals
Learn different methods of regularizing the models. This could be as basic as the L1, L2 (or ridge/Lasso) regularization or more sophisticated ones in other methods (like regulari…
-
Currently, only the `chi2` regularization method is actually functional although there are several other regularization functions coded into `Fit.py`. Alternative methods for determining the regulari…
-
### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [X] I have the link to my latest merged PR
### Latest Merged PR Lin…
-
-
Hello, first of all, thank you for sharing this kind of model.
I have a question regarding the development of this model, particularly about the collapse of the dimension. Do you use any other indi…
-
This is a follow-up to the discussion in #270. Discussion link https://github.com/PyAbel/PyAbel/pull/270#discussion_r401357196
Both the basex and rbasex method can accept regularization factors, wh…
-
The behavior of the CutMix transform on labels was changed significantly from v1.3.2 to v1.4.0rc1. This change originates from #7813, in which I have left a comment, but I'm creating an issue to incre…
-
# 🌟 New SSL approach addition
## Approach description
> Recent self-supervised methods for image representation learning are based on
> maximizing the agreement between embedding vectors from d…
-
Hello, I want to commend you on the exceptional work you have done on hyperspectral image super-resolution. I observed that the paper mentions the use of sparse loss, but I couldn't locate the corres…
vq12 updated
2 months ago