ICML 2026 Affinity Events

The 6th Muslims in ML (MusIML) Workshop at ICML 2026 aims to strengthen the visibility, participation, and long-term impact of Muslim researchers, students, engineers, and institutions in the global AI/ML community.

MusIML provides a community-centered forum for machine learning research by Muslim authors, as well as research addressing challenges relevant to Muslim communities and Muslim-majority regions. The workshop welcomes all ICML attendees interested in building stronger connections between the global AI community and the Muslim world.

The program will include invited talks, accepted paper posters, selected lightning talks, mentorship and networking activities, and community discussions. Topics represented in the workshop include modern AI/ML, multilingual and low-resource language technologies, AI for education and healthcare, responsible and trustworthy AI, human-centered AI, and applications that broaden participation in global AI research.

All submitted papers were reviewed through a double-blind review process. Accepted papers will be presented as posters, with selected papers invited for lightning talks. The workshop is non-archival and is intended to support research exchange, mentorship, collaboration, and long-term community-building within and beyond ICML.

This workshop highlights the academic research and technical contributions of Latin American and Hispanic-identifying individuals, providing a vital platform to showcase their work at a premier international research conference. By featuring a wide range of cutting-edge topics—including Computer Vision, Large Language Models (LLMs), Graph Machine Learning, Agentic AI, and Transformers—this workshop opens doors for researchers across diverse technical and applied fields to share their findings and foster global collaborations. Despite the rapid growth of the field, preliminary data suggests that less than 5% of ICML participants come from Latin American or Hispanic backgrounds. This workshop directly addresses this gap by increasing the representation and visibility of these researchers, thereby improving the overall diversity and inclusion of the conference community. Through a curated program of invited keynotes, peer-reviewed oral presentations, and mentorship sessions, we aim to create a sustainable ecosystem for LatinX talent. We invite all ICML attendees to join this space to connect, exchange ideas, and engage with high-impact research from the Global South and beyond.

This workshop aims to advance Machine Learning (ML) research and practice in developing economies by fostering collaboration among organizers, speakers, and participants from Asia, Africa, and beyond, spanning academia and industry. It addresses how constraints in data, computation, and infrastructure reshape ML design and deployment. Topics include deployable ML under resource constraints, public health and social impact, learning under data scarcity, and ML for emerging industries. By positioning developing economies as sources of novel methodological challenges, the workshop promotes inclusive participation and highlights globally impactful, deployment-aware ML research within the ICML community.

The Women in Machine Learning (WiML) workshop was founded in 2006 to forge connections within the relatively small community of women working in machine learning, to encourage mentorship and exchange of ideas, and to promote communication. The workshop attracts representatives from academia and industry, whose contributed talks showcase some of the cutting-edge research done by women. In addition to technical presentations and discussions, the workshop aims to incite debate on promising research avenues and career choices for machine learning professionals. Details about WiML’s history and past events can be found at http://womeninml.org/. WiML workshops are overseen by the WiML Board of Directors, who select and oversee the organizing committee for each year’s workshop.