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Home » [Rant] REVIEWER #2: How Peer Review is FAILING in Machine Learning
Yannic Kilcher

[Rant] REVIEWER #2: How Peer Review is FAILING in Machine Learning

Advanced AI BotBy Advanced AI BotMay 9, 2025No Comments2 Mins Read
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#ai #research #peerreview

Machine Learning research is in dire straits as more people flood into the field and competent reviewers are scarce and overloaded. This video takes a look at the incentive structures behind the current system and describes how they create a negative feedback loop. In the end, I’ll go through some proposed solutions and add my own thoughts.

OUTLINE:
0:00 – Intro
1:05 – The ML Boom
3:10 – Author Incentives
7:00 – Conference Incentives
8:00 – Reviewer Incentives
13:10 – Proposed Solutions
17:20 – A Better Solution
23:50 – The Road Ahead

PS: If it is not entirely clear to anyone already, stealing ideas as a reviewer is against most conferences’ code of ethics and I disapprove of any such behavior. I mention it because it is being done regularly and good luck proving it in any particular case.

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