The organizing committee of the International Conference on Advances in Machine Learning (ICAML-2025) invites authors and researchers from around the world to submit original, high-quality research papers for consideration. This prestigious conference is dedicated to fostering global collaboration and the dissemination of novel ideas in the field of Machine Learning.
Submission Guidelines:
Original Work: All submissions must be original, unpublished work. Papers must not have been previously published or currently under review by any other journal or conference. We encourage authors to submit review papers or papers presenting novel ideas and cutting-edge advancements in machine learning.
Zero Tolerance for Plagiarism: ICAML-2025 maintains a strict policy against plagiarism. Authors must ensure that all submitted work is free from plagiarism. Submissions will be checked rigorously, and any work found to violate these standards will be automatically disqualified.
Formatting Requirements: Papers should adhere to the Springer journal formatting guidelines to ensure uniformity and quality in presentation. Authors can refer to the Springer manuscript preparation guidelines for specific formatting instructions. For details, visit the Springer Guidelines for Authors.
Review and Selection Process: All papers will undergo a double-blind peer review by a panel of experts in the field. Only high-quality submissions that meet our criteria of originality, relevance, and technical rigor will be accepted for presentation.
Submission Portal for Manuscripts: Prospective authors are invited to submit their manuscripts through the Microsoft CMT portal. Please use the following link for submissions: https://cmt3.research.microsoft.com/ICAML2025/Submission/Index