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ICLR LaTeX Template

International Conference on Learning Representations

Top venue for deep learning and representation learning. Open review process with author discussions.

  • Download ICLR 2026 (latest official kit currently available)
  • Conference or publisher page
  • GitHub
  • Write it with Underleaf →

Template source: Direct official download

Version: ICLR 2026 (latest official kit currently available)

Key files: iclr2026_conference.sty, iclr2026_conference.bst, iclr2026_conference.tex, math_commands.tex

Official source checked August 25, 2026.

The official repository has not posted ICLR 2027 style files yet. Recheck before submitting; do not rename or modify the 2026 style file to imitate a 2027 kit.

ICLR LaTeX template illustration

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

PropertySpecification
LayoutSingle column
Font Size10pt
Paper SizeUS Letter
Document Classiclr2026_conference (2027 files not yet posted)
Citation StyleAuthor-year, natbib
Page Limit9 pages + references

Key Dates

Live countdownAll conference deadlines

Submission

September 25, 2026 (AoE); abstracts September 18 (ICLR 2027)

Conference

April 26–30, 2027, location TBA

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