Machine Learning Conference

All times are in Anywhere on Earth (AoE) time zone.

Submit Now

Topics of Interest

• Deep Learning: Neural network architectures for representation learning, including convolutional, recurrent, and transformer-based models, with an emphasis on scalability, training efficiency, and generalization across domains.
• Large Language Models (LLMs): Pretraining, fine-tuning, prompting, and retrieval augmentation of large-scale language models, along with evaluation of their reasoning capabilities and failure modes.
• Foundation Models: Large pretrained models adaptable across many downstream tasks through fine-tuning or prompting, spanning language, vision, and multimodal domains.
• Federated and Distributed Learning: Training machine learning models across decentralized data sources without centralizing raw data, preserving privacy and reducing communication overhead.
• Agents and Multi-agent Systems: Design and coordination of autonomous software agents that perceive, reason, and act, individually or in cooperative and competitive groups.
• Explainable AI: Techniques for making model predictions interpretable to end users and stakeholders, including feature attribution, surrogate models, and human-centered explanation design.
• Causal AI and Reasoning: Methods that model cause-and-effect relationships rather than correlation alone, supporting robust reasoning and decision-making.
• Computational Optimization: Algorithms for finding optimal or near-optimal solutions to complex problems under constraints, spanning heuristic and exact methods.
• Swarm Intelligence: Coordination algorithms for large numbers of simple agents or robots achieving complex collective behavior.
• Sustainable AI: Methods for reducing the energy and resource footprint of AI systems, including efficient model design and green computing practices.

Submission Guidelines

• We accept initial submission in PDF format only.
• In order to adhere to the double-blind peer review process, please ensure that no author details, institutional affiliations, country information, or any other identifying information is included in the paper.
• Authors are responsible for thoroughly proofreading and finalizing their paper before submission. Please note that no changes can be made once the paper is submitted for review. However, if the paper is accepted, authors may make minor revisions before final publication to improve specific sections.
• Upon submitting the camera-ready version, authors must include complete author details as per the paper format. Author names, email addresses, and their sequence will be considered final as per the submitted camera-ready version.
• Submissions must be primarily original work. No more than 25% of the content may be derived from previously published material by the same authors, and proper citation is required for any reused content. Therefore, at least 75% of the manuscript should consist of new, unpublished material.

Downloads

• MS Word Paper Format
• LaTeX Paper Format
• Presentation Format

Formatting Guidelines

• Manuscripts should not exceed 18 pages for the main text (excluding references and appendices of up to 7 pages). Submissions that surpass this limit may be considered at the discretion of the chair, especially for review or survey articles.
• Manuscripts must present original research and align with the conference's scope and topics.
• The abstract should adhere to the 150-250 word limit as per the conference guidelines.
• Authors are responsible for ensuring the accuracy of all quotes, citations, figures, maps, and tables included in their manuscript.
• Figures and tables should be placed within the manuscript at the appropriate locations where they are referenced, and they must be clear and legible.
• All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, properly cited in the text.
• Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
• Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
• References should be formatted correctly and consistently, including all the necessary details such as author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
• The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
• The manuscript must follow the formatting guidelines provided in the template.

Review Process

Submissions will undergo an anonymous (double-blind) review process. As such, your manuscript should not reveal your identity or affiliation. Specifically, you must remove author names and affiliations, anonymize citations and references to your previous related work, and exclude any funding or acknowledgments.

Each paper will be reviewed by at least three regular program committee members or two senior program committee members. Acceptance will be determined based on the paper's novelty, technical depth, elegance, impact (both practical and theoretical), and quality of presentation.

• Original: The paper should introduce a new idea, project, or issue, offer fresh insights into existing research, present original findings, or provide a novel perspective on existing information.
• Engaging: The presentation should engage the audience and be interactive, or address community needs in a way that is likely to attract a large audience to the conference.
• Significant: The paper should address key issues related to enhancing the effectiveness of current techniques, and its content should be clear and widely applicable.
• Quality: Claims made within the paper should be backed by sufficient data, reference relevant existing work, and transparently acknowledge any limitations.
• Clear: The outcomes of the paper should be easily understood.
• Relevant: The paper's topic should be aligned with at least one of the conference’s designated tracks.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Use of AI-Assisting Tools

The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:

• Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
• Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
• No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
• Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
• Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.

Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.

Other Tracks at 15th Computing Conference 2027

• Future Computing Architectures
• Computer Vision
• Data Science
• Intelligent Systems
• Cybersecurity, Privacy & Trust
• Computing for Society
• Technology-enhanced Education

View the full Call for Papers for 15th Computing Conference 2027 »