Archival submissions
Between 4 and 14 pages, must follow ECCV submission guidelines and adhere to dual-submission policies.
Computer Vision/CORE Unranked
CDEL 2026
Second Workshop on Curated Data for Efficient Learning
The CDEL 2026 workshop, affiliated with ECCV 2026 in Malmö, Sweden, focuses on data-centric approaches to improve the efficiency of training large-scale machine learning models. It emphasizes techniques like dataset distillation, data pruning, and synthetic data generation to reduce computational costs and enhance model performance with high-quality, curated data rather than larger datasets.
Key deadlines
Verified September 9, 2026Full paper
July 30, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
July 30, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Non-archival submissions
May follow different formatting templates; cross-submissions of work under review or recently accepted elsewhere are welcome but will not be archived.
Research areas in scope
01
Suggested topics, not exhaustive
Data PruningSynthetic DataDataset DistillationObscure DomainsFuture DirectionsAnything Else
Policies worth checking twice
- Archival submissions must follow ECCV submission guidelines.
- Dual-submission is allowed under ECCV policies.
- Non-archival submissions do not require reformatting to ECCV guidelines.
- Work currently in review or recently accepted elsewhere may be submitted as non-archival.
- Submissions are handled through OpenReview.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop siteWorkshop CDEL @ ICCV 2025 Honolulu · October 20, 2025 · 5 invited talks · 34 accCVPR 2024 Workshop (Previous)Accepted Papers
Last verified September 9, 2026