Machine Learning
Popular
9 pages + references
Single column
ICLR LaTeX Template
International Conference on Learning Representations
Top venue for deep learning and representation learning. Open review process with author discussions.

About the ICLR Template
ICLR (International Conference on Learning Representations) is one of the fastest-growing and most influential machine learning conferences. Founded by Yoshua Bengio and Yann LeCun, ICLR pioneered the open peer review model through OpenReview, where reviews and author responses are publicly visible.
ICLR 2027 papers are due September 25, 2026, with abstracts due September 18, 2026 (both Anywhere on Earth). The conference runs April 26–30, 2027; the host city has not been announced. ICLR 2026 was held at the Riocentro Convention Center in Rio de Janeiro, Brazil. Note that as of August 2026 the Master-Template repository still lists the iclr2026 files as its newest kit, so check the repo for the 2027 files before you submit.
The ICLR LaTeX template uses a single-column format with a 9-page limit for the main text. Authors must use the official iclr style file, which can be obtained from the official Master-Template GitHub repository. The template file serves as a shell for writing your paper.
ICLR uses double-blind review. Authors are required to use the official style files, and tweaking them may be grounds for rejection. The conference covers topics in deep learning, representation learning, optimization, generative models, and applications of neural networks. The open review process allows reviewers and authors to engage in discussion during the review period.
Submission deadline · September 25, 2026 (AoE); abstracts September 18 (ICLR 2027)
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Formatting Requirements
| Property | Specification |
|---|---|
| Layout | Single column |
| Font Size | 10pt |
| Paper Size | US Letter |
| Document Class | iclr2026_conference (2027 files not yet posted) |
| Citation Style | Author-year, natbib |
| Page Limit | 9 pages + references |
Key Dates
Submission
September 25, 2026 (AoE); abstracts September 18 (ICLR 2027)
Conference
April 26–30, 2027, location TBA
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