🤖Reddit r/MachineLearning•Stalecollected in 7h
TMLR Reviews Severely Delayed
💡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.
🔑 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.
📰
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Original source: Reddit r/MachineLearning ↗