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In recent years however peer review processes have come under fire — especially from the machine learning community — with complaints of long delays, inconsistent standards and unqualified reviewers.
A new paper proposes replacing peer review with a novel State-Of-the-Art Review (SOAR) system, “a neoteric reviewing pipeline that serves as a ‘plug-and-play’ replacement for peer review.”...
Machine learning has almost completely switched to a conference publication model, Bengio wrote, and “we go from one deadline to the next every two months.” In the lead-up to conference submission deadlines, many papers are rushed and things are not checked properly. The race to get more papers out — especially as first or co-first author — can also be crushing and counterproductive. Bengio is strongly urging the community to take a step back, think deeply, verify things carefully, etc.
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Source: Synced