Since I started working on object tracking I wondered whether the representations of deep nets for videos resembled those of the brain. We recently made a step forward towards the answer.
@the_shweenz There is a lot of hyperparameter optimization and seed optimization in research. But it depends on the area.
And most reviewers wouldn't count 0.1% improv. as a win for the paper.
@WangMa70190365 If you could assemble the changes in 5 days, they are not too much...
Additionally, reviewers often ask for more than is neccessary for the paper.
@demisama_@Jacklu_me Unforgivable seems to imprint my way.
Similarly, reviewers asking for specific things in a rebuttal, and then becoming completely silent, during my last review process.
@AvivTamar1 Then you are particularly unlucky.
3/4 papers I reviewed were withdrawn and otherwise I didn't see more than 3 comments per paper.
Also you don't have to consider every part of a verbose discussion to make a decision.
@Ofirlin I reviewed 4 papers, three already withdrew after initial review. The fourth will also pretty certainly rejected. The range of quality is quite large๐
@ergo_edge At this point, you just have to hope the AC steps in and looks at the paper.
If reviewers do not react at least roughly properly with arguments, their critique should be dismissed and AC should rely on the other reviewers and the own opinion.
@PKUWZP@emnlpmeeting The main bulk of reviewers should not be people that also submitted. It's additional stress that leads to overly negative ratings and not much Engagement.
@VarunChandrase3 The system is horrible. The discussion phase makes no sense if nobody discusses. Submission -> review -> rebuttal -> required reaction by reviewers.
We should keep to this.
The discussion phase just adds more noise.