TMLR Reviews Severely Delayed

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🤖Read original on Reddit r/MachineLearning

#review-delays#paper-submission#academic-publishingtmlrtmlr

💡TMLR reviews lagging 6+ weeks—contact AE or wait? Key for paper submitters

⚡ 30-Second TL;DR

What Changed

Paper submitted February, under review 6 weeks

Why It Matters

Delays in TMLR reviews could slow down ML research dissemination, frustrating authors and impacting publication timelines for practitioners.

What To Do Next

Check your TMLR submission status and politely email the AE if over 6 weeks under review.

Who should care:Researchers & Academics

Key Points

•Paper submitted February, under review 6 weeks
•TMLR site claims 2-week review deadline for regular papers
•Only one review received so far
•Debate on contacting Action Editor (AE)

🧠 Deep Insight

AI-generated analysis for this event — not the original article.

🔑 Enhanced Key Takeaways

•TMLR (Transactions on Machine Learning Research) utilizes a rolling review process designed to avoid the 'batch' submission bottlenecks common in conferences like NeurIPS or ICLR, yet it frequently faces scaling challenges due to the reliance on volunteer reviewers.
•The journal's editorial policy explicitly encourages authors to contact their assigned Action Editor (AE) if the review process exceeds the stated timeline, as AEs are responsible for managing reviewer responsiveness and enforcing deadlines.
•Community sentiment on platforms like OpenReview and Reddit suggests that TMLR's review speed is highly dependent on the specific sub-field and the availability of qualified reviewers, leading to significant variance in turnaround times.

📊 Competitor Analysis▸ Show

Feature	TMLR	NeurIPS/ICLR	JMLR
Submission Type	Rolling	Batch (Annual)	Rolling
Review Model	Open Review	Double-Blind/Open	Open/Traditional
Decision Speed	Variable (Target: 2-8 weeks)	Fixed (Months)	Variable (Often slower)
Primary Goal	Rapid dissemination	Competitive ranking	Archival quality

🔮 Future ImplicationsAI analysis grounded in cited sources

TMLR will implement stricter reviewer accountability metrics by Q4 2026.

Persistent delays in review cycles are forcing the editorial board to reconsider the current volunteer-based incentive structure to maintain journal reputation.

Submission volume will plateau or decline if turnaround times do not stabilize.

Authors prioritize venues with predictable review timelines for career advancement, making TMLR less attractive if the 'rolling' promise is consistently broken.

⏳ Timeline

2022-02

TMLR officially launches as a response to the bottleneck issues of major ML conferences.

2023-05

TMLR introduces new editorial guidelines to improve reviewer engagement and speed.

2025-11

TMLR reports record-high submission volume, leading to increased strain on the review infrastructure.

🤖Read original article on Reddit r/MachineLearning

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