ICLR 2027 - Call for Workshops
Following the ICLR 2027 main conference, two days of in-person workshops on a variety of current topics will be held on April 29 and 30, 2026 in San Francisco, California, US. We invite researchers interested in organizing a workshop to submit proposals. Workshop organizers have several responsibilities, including coordinating workshop participation and content, publicizing and providing the program in a timely manner, and moderating the program throughout the workshop.
Goal of ICLR Workshops
Workshops provide an informal, cutting edge venue for discussion of works in progress and future directions. Good workshops have helped to crystallize common problems, explicitly contrast competing frameworks, and clarify essential questions for a subfield or application area. Workshops are a structured means of bringing together people with common interests to form communities. Good workshops should include some form of community building.
Each workshop is a single-day, in-person event, split into morning and afternoon sessions, with free time between the sessions for individual exchange. Workshop topics should include, but are not limited to, the following:
- unsupervised, semi-supervised, and supervised representation learning
- representation learning for planning and reinforcement learning
- representation learning for computer vision and natural language processing
- metric learning and kernel learning
- sparse coding and dimensionality expansion
- optimization for representation learning
- probabilistic inference and learning theoretical issues in deep learning
- societal considerations of representation learning including fairness, safety, privacy, and interpretability, and explainability
- visualization or interpretation of learned representations
- implementation issues, parallelization, software platforms, hardware
- sustainability in AI and AI for sustainability
- applications in natural and life sciences, audio, speech, robotics, or any other field
Detailed descriptions of previous workshops may be found in last year's blog post.
Workshop schedules should encourage lively debates, stimulate the production of new ideas and foster discussion of important issues. Workshop organizers are recommended to follow the Policies on Large Language Model Usage at ICLR 2027. Workshops that allow AI to serve as a primary author and/or reviewer of workshop papers should clearly state the role of AI participation in their workshop proposal. The conference will provide tools to flag AI-generated papers, reviews, and meta-reviews.
To encourage diversity across workshop programs, each individual may be listed as a speaker, panelist, or in a similar invited role in no more than two distinct workshop proposals. Proposals must include the OpenReview IDs of all invited speakers, panelists, and others participating in a similar manner. These IDs will help the workshop chairs identify overlap across proposals and make sure of broader participation. Organizers should confirm that each invitee has agreed to be listed and is included in no more than two workshop proposals. If a proposal is accepted and the list of invited speakers, panelists, or other participants changes, the corresponding information must be updated on OpenReview.
Please also note this year’s limits on workshop organizers. As a general rule, each proposal should include no more than eight organizers, and each organizer must disclose any other workshop proposals they are helping to organize. Each role, whether an advisory role or a student volunteer role, counts toward the limit of eight organizers. In addition, an individual may be listed as an organizer on no more than two workshop proposals.
As a new requirement this year, we ask each workshop to nominate one or more mid-career or senior researchers who are not among the workshop organizers to serve on the workshop proposal review committee. This will help us accommodate the growing number of submissions and encourage workshops to contribute back to the broader ICLR workshop community.
Finally, please be aware that creating a new OpenReview account may take two weeks or longer, so organizers and invited participants should register well in advance of the submission deadline.
Every group considering submitting a workshop proposal should read the ICLR 2027 Workshop Proposal Guide, which outlines the relevant constraints and describes important considerations for hosting workshops, includes templates of previous successful proposals, details the selection criteria and process, describes what is considered a conflict of interest, and includes other frequently asked questions.
Submission Instructions
Proposals should be submitted through an application on OpenReview at: https://openreview.net/group?id=ICLR.cc/2027/Workshop_Proposals
Note that all proposal organizers, speakers and panelists are required to have an OpenReview profile. Please create an OpenReview Profile at least two weeks before the workshop application deadline on 9 October 2026.
Important dates for workshop organizers
- Workshop Application Open: 8 September 2026
- Workshop Application Deadline: 9 October 2026, 11.59pm AoE
- Workshop Acceptance Notification: 29 November 2026
- Suggested Submission Deadline for Workshop Contributions: 1 Feb 2027
- Mandatory Accepted Paper Notification Date*: 26 February 2027, 11.59pm AoE
*By this deadline, workshop organizers must (1) notify authors of acceptance decisions, (2) make all accepted papers publicly available on OpenReview, and (3) import all accepted papers into iclr.cc. Meeting this deadline is particularly important for workshop contributors who plan to apply for ICLR financial assistance or require a visa letter. - Update Workshop Schedule with Opening and Closing Times on iclr.cc: 26 March 2027, 11:59 p.m. AoE
- Complete and Finalize Workshop Schedules in the Organizer Portal: 14 April 2027, 11:59 p.m. AoE
The criteria and process by which proposals will be assessed are described in the ICLR 2027 Workshop Proposal Guide.
Organizer Support
The organizers of each accepted workshop can name four individuals to receive a full-conference complimentary registration.
ICLR 2027 Workshop Chairs
Nezihe Merve Gürel (TU Delft)
Yuanqi Du (Microsoft Research)
Chulin Xie (Google DeepMind)
Antonio Vergari (University of Edinburgh)
Contact
Email: workshop-chairs@iclr.cc