Full Papers
Original research contributions with substantial technical depth and experimental validation.
Computer Vision/CORE Unranked
MELEX 2026
ECCV 2026 Workshop on More Exploration, Less Exploitation (MELEX)
MELEX 2026 is an international conference focused on machine learning and its applications in engineering and scientific domains. It brings together researchers and practitioners to present and discuss innovative approaches, algorithms, and real-world applications of machine learning.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of novel ideas, preliminary results, or work in progress.
Demo Papers
Descriptions of working systems or prototypes demonstrating AI/ML applications.
Journal Track
Extended versions of previously presented work suitable for publication in a companion journal.
Research areas in scope
01
Conference Tracks
Machine Learning AlgorithmsDeep Learning and Neural NetworksReinforcement LearningExplainable AIFederated LearningAI for Science and EngineeringAI in HealthcareAI for Climate and SustainabilityAI in Robotics and AutomationAI for Social GoodData Efficiency and Small Data LearningAI Ethics and FairnessAI System Design and DeploymentAI for EducationGenerative Models and Diffusion Models
Policies worth checking twice
- All submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 6 pages, and demo papers to 4 pages, including references.
- Dual submission to other conferences or journals is not permitted during the review period.
- Author lists and affiliations cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI-assisted tools in the preparation of their submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026