Correct, some is cut off. The reviewers also give a brief summary of the paper and list two strengths and weaknesses. I don't know the area/work, but at a glance, certainly not the worst review I've ever seen. (Not linking here to avoid a pile-on)
@thegautamkamath
-
Paper Review Quality Assessment in AI Research
By
–
Correct, some is cut off. The reviewers also give a brief summary of the paper and list two strengths and weaknesses. I don't know the area/work, but at a glance, certainly not the worst review I've ever seen. (Not linking here to avoid a pile-on)
-
ICLR Code of Conduct and Organizer Authority Questioned
By
–
The ICLR code of conduct (
https://
iclr.cc/public/CodeOfC
onduct
…) states "conference organizers may take any action they deem appropriate." So I guess the organizers deemed it appropriate. -

Responding to Peer Reviews: Ethics and Professional Conduct
By
–
How NOT to respond to reviewers. Getting paper reviews can be emotional, but try to be kind and not resort to personal attacks. Instead, this author chose to lash out, leading to impressively quick reprimand from the PC chairs. And there will be no anonymity after decisions.
-
Academic Review Process Rigor and Accountability Critique
By
–
I learned more about the potential of overlap from your tweets than this metareview. That shows how lazy the metareview is. If the AC's gonna wield significant power to overturn three reviewers, they have to do more work than this. Read the paper and point out the exact overlap
-
Culture Sustainability in AI Development Questioned
By
–
Yeah, not totally clear how sustainable it is. But the culture seems to be pretty good for now.
-
Computer Science Recruitment Timeline: November Deadlines January Interviews
By
–
Computer Science deadlines are typically in November or December. Interviews thus start in January or maybe February in extreme cases.
-

ML Privacy Risks Beyond Verbatim Memorization Research
By
–
Nice paper (ft @daphneipp @florian_tramer @katherine1ee +more) that argues looking at verbatim memorization is inadequate when considering ML privacy risks It also has the most interesting author ordering I've ever seen. So much for alphabetical or random https://
arxiv.org/abs/2210.17546 -

AI Advances Spark Imposter Syndrome Among Graduate Students
By
–
Every grad student with imposter syndrome is now looking over their shoulder
-
Student Conference Access and Educational Equity Priorities
By
–
Fair is another question. But if it's a question of my student going to a conference or not, I'll do whatever I can to send them. Things don't always work out fair.