Muslim in ML Workshop will showcase an inspiring program featuring invited talks, oral presentations, and poster sessions. This event provides a vibrant platform for researchers, practitioners, and students from the Muslim community to connect, exchange ideas, and foster collaborations in the field of machine learning. The workshop aims to celebrate and amplify the contributions of Muslim individuals in machine learning while promoting inclusivity and community engagement. While the workshop highlights contributions from Muslim individuals, people of all backgrounds and faiths are welcome to attend.

The LatinX in AI (LXAI) Workshop will be co-located with ICML 2024, bringing together Latinx researchers, practitioners, and enthusiasts in machine learning to foster collaboration, mentorship, and knowledge exchange.<br><br>The LXAI Workshop will feature invited speakers, contributed talks, and poster presentations, highlighting cutting-edge research conducted by Latinx individuals in academia and industry. Additionally, a mentorship session will provide participants with valuable insights into career development, research trends, and pathways for increased Latinx representation in AI.<br><br>This event aims to create a welcoming and inclusive environment where Latinx researchers at all career stages can connect, share ideas, and inspire future generations. We strongly encourage participation from underrepresented minorities and allies who support diversity in machine learning and AI.

The New In ML workshop is an affinity workshop which designed to empower early-career machine learning researchers by providing mentorship, practical guidance, and an inclusive forum for professional growth. This workshop will feature keynote sessions, including a discussion on AI research principles (including AI safety), as well as targeted talks from leaders in academia and industry, covering topics such as research best practices, reproducibility, and the effective use of large language models for coding, writing, and reviewing. Participants are invited to submit their work through a dual-track call for papers, comprising a main track for preliminary research and a reproducibility track aimed at validating existing findings. Through interactive sessions, personalized feedback from senior reviewers, and comprehensive career guidance, the workshop aims to cultivate a collaborative community that supports the transition of new researchers into competitive, impactful contributors in the field of machine learning.

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.