Awesome! I’m still being ghosted :(

This a good reminder for everyone to delete comments from tex files before uploading to arxiv ... especially, if they were not meant to be public.

Depends on the quality of the reviews. In theory, the AC could completely ignore all reviews. However, 7&8 are very good and you definitely have a high chance. Be proud of your work!

Adress this! Ask them why they did not increase their score if all concerns were addressed.

Same here, 3 out of 4 reviewers didn’t respond. And with all due respect, there is no excuse for that. If you agree to serve as reviewer, you also agree to do it faithfully. Unfortunately, the last part is often missed.

Have you tried NFNets https://arxiv.org/abs/2102.06171

Currently there are no good methods to do this. There’s discussion of existing methods and many insights into the problem in this paper https://arxiv.org/abs/2206.14486

TL;DR: which images you should remove depends on the ratio between samples / parameters, no current method works anywhere near ideal, but you may see improvements if you choose the most expensive methods

I ditched lightning after a while because I spent more too much time fixing it than doing productive stuff. But I regularly use wandb to track experiments and it’s mostly great!