![]() | OxML26: OxML 2026 Poster Challenge Mathematical Institute, University of Oxford Oxford, UK, July 10-18, 2026 |
| Conference website | https://www.oxfordml.school |
| Submission link | https://easychair.org/conferences/?conf=oxml26 |
| Submission deadline | May 15, 2026 |
OxML 2026 Poster Challenge — Call for Posters
The OxML 2026 Poster Challenge will take place during the Oxford Machine Learning Summer School (OxML).
Dates: 10–18 July 2026
Location: Mathematical Institute, University of Oxford
OxML is an international machine learning summer school bringing together researchers and practitioners from academia and industry. The Poster Challenge is designed to showcase high-quality research and applied work across Machine Learning and Artificial Intelligence, while fostering discussion and feedback within the OxML community.
Tracks
Submissions must be made to one of the following tracks:
- MLx Health & Bio
Machine learning research and applications in healthcare, medicine, and the life sciences.
- MLx Representation Learning & Generative AI
Advances in deep learning, representation learning, generative models, large language models, and modern AI systems.
The programme committee may reassign submissions to a different track if appropriate.
Scope and Submissions
We welcome submissions from researchers, practitioners, and students at all career stages.
Submissions may include:
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Poster versions of papers under preparation or submission to major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL)
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Work in progress and preliminary results
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Applied ML systems and real-world deployments
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Interdisciplinary research, replication studies, or clearly stated negative results
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Ongoing, unpublished, under-submission, or recently published work
Note: Published work is eligible only if it has appeared in 2024 or later.
Submission Format
Authors must submit electronically via EasyChair: https://easychair.org/conferences/?conf=oxml26
Authors may submit either:
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a 2-page extended abstract describing the motivation, method, and main results, or
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a poster PDF in A0 or A1 format
Submitting an extended abstract is sufficient for review. Authors of accepted submissions will be asked to provide a final poster before the event.
Late submissions will not be considered.
Evaluation Criteria
Submissions will be evaluated based on:
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Scientific contribution
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Novelty and originality
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Relevance to the selected track
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Clarity of presentation
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Overall quality and significance
Review and Selection Process
All submissions will be reviewed by the OxML 2026 Poster Committee.
Due to venue capacity, a limited number of posters will be selected for display.
Cash prizes will be awarded to the top three posters in each track.
Final awards will be determined through a combination of committee evaluation and structured participant voting during OxML.
Poster Template
Accepted authors will be asked to prepare their final posters using the following template family:
CEUR
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LaTeX: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
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Word: http://ceur-ws.org/Vol-XXX/CEURART.zip
Authors may adapt the CEUR template for poster presentation format while keeping the overall structure consistent.
Work Under Submission
We welcome posters based on ongoing research or work under submission. Authors are responsible for ensuring compliance with the policies of their target venues and institutions regarding public disclosure.
Important Dates
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Submission deadline: 15 May 2026
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Notification of acceptance: 30 May 2026
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Poster presentations: 10–18 July 2026
Eligibility and Participation Requirement
This is a non-archival competition.
The OxML Poster Challenge is open only to participants who will attend OxML 2026 in person.
If a submission is accepted, at least one author must register for the in-person format of OxML 2026 and present the poster on site in Oxford. Submissions without in-person attendance will not be eligible for the competition.
Organising Committee
OxML 2026 Poster Committee
Contact
For enquiries: poster@oxfordml.school

