Full Papers
Comprehensive research papers presenting original work with detailed methodology, results, and analysis.
AI/CORE Unranked
SSPP 2026
Smiles School Projects Proceedings 2026
SSPP 2026 (School Speakers Projects & Proceedings) is part of the SMILES summer school of machine learning, focused on presenting and discussing cutting-edge research in machine learning and related fields. It serves as a platform for students and researchers to share projects, papers, and innovations through peer-reviewed proceedings.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise submissions highlighting novel ideas, preliminary results, or work in progress.
Project Presentations
Non-paper submissions showcasing applied projects, prototypes, or educational initiatives in machine learning.
Research areas in scope
01
Research Topics
Machine LearningDeep LearningReinforcement LearningNatural Language ProcessingComputer VisionAI for ScienceExplainable AIFederated LearningGenerative ModelsAI Ethics and Fairness
Policies worth checking twice
- Submissions must be original and not under review elsewhere.
- All submissions are peer-reviewed using a double-blind review process.
- Papers must not exceed 8 pages in length (including references).
- Author lists and affiliations must be anonymized in submissions.
- Authors may not submit identical or substantially similar work to multiple tracks.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026