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Blasphemer666 t1_iv3g9rk wrote

I am sorry this is my first time submitting it.
How should I read the reviews?

We look at the recommendation (score)?
So how good is accepted?

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tfburns t1_iv3no12 wrote

>How should I read the reviews?

I suggest reading them in full multiple times, then trying to write a synthesis of the opinions and main critiques. After that, you need to figure out how will you respond to the main critiques: will you try to fix them (if so, how?) or are those critiques incorrect or mistaken in some way (if so, how?).

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>So how good is accepted?

No one can tell you for sure at this stage, and ultimately it's a case-by-case decision. However, you can see what past years' scores led to in terms of decisions here:

https://www.reddit.com/r/MachineLearning/comments/ymctqy/comment/iv3m9qy/?utm_source=reddit&utm_medium=web2x&context=3

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Blasphemer666 t1_iv3o284 wrote

Thanks a lot for sharing extremely useful information. 🥹

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tfburns t1_iv3o7ln wrote

You're welcome and good luck :)

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Blasphemer666 t1_iv3oenu wrote

So will those posters also be included in the proceedings?

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tfburns t1_iv3on4g wrote

Yes.

Edit: I don't believe the image of the poster itself is included, but rather the paper!

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