#PeerReview quality gets worse with each upcoming #AI conference. Our #ICLR2020 reviews has extreme swings (8s and 1s). Reviewers giving low scores are nasty and bitter. Its like they are out on a war and want to destroy competition. Not healthy. What are the alternatives?
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Even most non-controversial tweet brings out
#Trolls Goes with being a#woman with opinions on#twitter This dude blocked me from replying because I wrote that traditionally men have been told they are fragile if they express their emotions. Toxic masculinity is linked to this.pic.twitter.com/CiSlP30gDL
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There is lack of civility in
#AI communities. Prominent "leaders" behave terribly. (I had someone call current times as "revenge of#neuralnets and destroy all other researchers). I have made enemies when I have called out their racist and sexist posts.Show this thread -
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#troll with no logical abilities attacking me personally for talking about#PeerReview Wasn't just one review: thanks to collaborators, I am on several papers. Saw a general trend. What does this have to do with my number of followers? Thanks@sdathath for your response.pic.twitter.com/CjWM5ONPag
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Well, now there is quite good text description of "expertise" at
#ICLR2020: published in area a lot/once/read a lot/read once. Don't think that people would blatantly lie -
They are not lying, they truly believe they are experts and don't recognize their own blindspots. I see this disproportionately in privileged class. On contrary, women tend to scale down their expertise level. This is well documented
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I agree, two of my reviewers don't not understand my field. The answer to the their reviews can be found in some very well-known papers.
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On this topic, I have a question. I was recently assigned to review a paper on a topic I didn't feel like I was an expert in. I told the organizers that they should reassign the paper but they refused. What should one do in such cases?
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To be more precise. It wasn't that I wasn't an expert on the topic, I felt I only knew what basic grad classes on the topic cover. I felt uncomfortable reviewing a paper with that level of knowledge.
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I used to rank myself as not top expert until a senior colleague AC emailed me once pointing out what you describe. After that I have been using expert as my default, only adjusting in rare outlier cases. But still I need someone to open my eyes
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The more you know, the more you realize how much you don't know
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