Learning-to-Reweight-Examples-for-Robust-Deep-Learning-with-PyTorch-Higher
Learning-to-Reweight-Examples-for-Robust-Deep-Learning-with-PyTorch-Higher copied to clipboard
how is this different from https://github.com/danieltan07/learning-to-reweight-examples/
Hi, thanks for this awesome work!
I came across another implementation: https://github.com/danieltan07/learning-to-reweight-examples/, but your version seems so much cleaner. I wonder if you may know the main difference between your version and theirs? I have experience with DL models but have no experience implementing meta-learning stuff, so any information would be much appreciated, thanks!