Learning methods
Representation, transfer, meta, lifelong, supervised, self-supervised, and reinforcement learning.
Machine learning and representation learning/CORE A*
ICLR 2027
International Conference on Learning Representations
ICLR is a premier international venue for representation learning and deep learning. Its open-review process combines anonymous reviewing, public discussion, and a broad scope spanning methods, theory, systems, and scientific applications.
Key deadlines
Verified August 23, 2026Required abstract
September 18, 2026
23:59 AoE
Full paper
September 25, 2026
AoE
Reviews released
November 5, 2026
Final decisions
December 16, 2026
Conference timeline
Submission and decisions
Required abstractKey deadline
September 18, 2026 · 23:59 AoE
Full paperKey deadline
September 25, 2026 · AoE
Reviews released
November 5, 2026
Author–reviewer discussion
November 5–18, 2026
Reviewer–AC discussion
November 19–December 16, 2026
Final decisions
December 16, 2026
At a glance
What your submission must satisfy
Main text
Up to 9 pages
References
Unlimited
Appendix
Unlimited; optional to review
Review
Double blind + OpenReview
AI disclosure
Required statement
Deadline zone
Anywhere on Earth (UTC−12)
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Theory and inference
Learning theory, optimization, probabilistic methods, causal reasoning, uncertainty, and geometry.
Systems and evaluation
Datasets, benchmarks, infrastructure, software, hardware, interpretation, and visualization.
Applied ML
Work spanning vision, language, audio, robotics, neuroscience, healthcare, physical sciences, and society.
Research areas in scope
01
Learning paradigms
Self-supervised learningTransfer and meta learningReinforcement learningLifelong learning
02
Models and inference
Generative modelsProbabilistic methodsCausal reasoningGraphs and geometry
03
Foundations
OptimizationLearning theoryMetric and kernel learningUncertainty quantification
04
Impact and practice
Datasets and benchmarksSafety, fairness, privacyML systems and hardwareScientific applications
Beyond full papers
Other ways to participate
Main conference
April 26–28, 2027
Invited talks, oral presentations, posters, and community discussion around accepted work.
Workshops
April 29–30, 2027
Two days of focused workshops following the main conference program.
OpenReview discussion
November 5–18, 2026
Authors respond to reviews in the public and reviewer-visible discussion period.
Policies worth checking twice
- The submission is double blind; identity revealed in the paper or supplementary material can cause desk rejection.
- The initial submission has a strict nine-page main-text limit; references and appendices do not count toward it.
- Every author needs an OpenReview profile, and no new authors may be added after the abstract deadline.
- A statement describing AI use is required, while ethics and reproducibility statements are recommended.
- Substantially similar work cannot be under review at another archival venue, though arXiv posting is permitted.
Official sources
COREXA summarizes the official calls for planning. The organizers’ pages remain authoritative.
ICLR 2027 official websiteOfficial call for papersOfficial author guidelinesOfficial dates and deadlines
Last verified August 23, 2026