TMLR is an academic journal handling peer review and publication of machine learning research. Recent coverage has focused on its review process: editors queried authors of 10 papers slated for desk rejection (outcomes: 1 withdrew, 1 unavailable, 1 no-show, 3 couldn’t answer basic questions, 3 handled high-level ideas but struggled on technical details, 1 answered fully yet had a major flaw identified), plus reports of delayed third reviews and extended silence after revisions that risk time‑sensitive postdoc applications.
TMLR queried authors of 10 desk-rejected papersTMLR contacted authors of ten submissions slated for desk rejection to ask them about their own papers. Outcomes: one withdrew, one unavailable, one no-show, three couldn't answer basic questions, three handled high-level ideas but struggled on technical details, and one answered fully yet had a major flaw identified.
Question about delayed third review at TMLRAn author reports receiving two reviews at TMLR soon after submission but is still waiting a month for a third. They ask whether to keep waiting before posting responses on OpenReview, noting positive overall impressions but concerns about review timelines.
TMLR delays frustrate final-year authorA final-year PhD reports that after submitting revisions to TMLR reviewers stopped responding for over two months; reminders to editors produced no change, risking time-sensitive postdoc applications.
The A.I. Daily