< Back WiML Workshop @ NeurIPS 2024 Vancouver, Canada WiML Workshop 2024 Previous Next

We maintain a mailing list for the Women in Machine Learning network. Are you a women working in machine learning? Join our mailing list. Post directly in our mailing list. Mailing List We maintain a mailing list for the Women in Machine Learning network. Are you a women working in machine learning? Join our mailing list . Have a job posting, announcement, call for participation, etc? Post directly in our mailing list. The mailing list is intended for any female student, postdoc, academic researcher, industrial researcher, and anyone else who wants to post content relevant for this community. You do not have to be a woman to join the mailing list. Please post job postings, announcements, calls for participation, etc. directly to the mailing list. You can also use the mailing list to look for roommates at conferences, discuss machine learning topics, etc. Join/Post to Mailing List

Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices, Building Leaders, and Bridging Gaps to enhance the experience of women in machine learning. 1st Women in Machine Learning Un-Workshop The 1st WiML virtual Un-Workshop is co-located with virtual ICML on Monday July 13th, 2020. Speakers Logistics Program Call for Participation Committee FAQ Code Of Conduct Machine learning is one of the fastest growing areas of computer science research. Search engines, text mining, social media analytics, face recognition, DNA sequence analysis, speech and handwriting recognition, healthcare analytics are just some of the applications in which machine learning is routinely used. In spite of the wide reach of machine learning and the variety of theory and applications, it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models. The annual Women in Machine Learning Workshop is the flagship event of Women in Machine Learning . This technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, network and exchange ideas, participate in career-focused panel discussions with senior women in industry and academia and learn from each other. Underrepresented minorities and undergraduates interested in machine learning research are encouraged to attend. We welcome all genders; however, any formal presentations, i.e. talks and posters, are given by women. We strive to create an atmosphere in which participants feel comfortable to engage in technical and career-related conversations. The workshop started at the 2006 Grace Hopper Celebration and moved to NeurIPS in 2008. A History of WiML poster was created in 2015 to celebrate the 10th workshop. This is the 1st WiML Un-Workshop and is co-located with ICML . This event along with ICML are virtual events due to COVID-19. The term “un-workshop” is based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. The overall goal of the un-workshop is to advance research through collaboration and increased interaction among participants from diverse backgrounds. Different from the workshop, the un-workshop’s main focus is topical breakout sessions, with short invited talks and casual, informal poster presentations. Besides this un-workshop and annual workshop which is co-located with NeurIPS, Women in Machine Learning also also organizes events such as lunch at AAAI conference, maintains a public directory of women active in ML, profiles the research of women in ML, and maintains a list of resources for women working in ML. Invited Speakers Location This un-workshop takes place virtually due to COVID-19. Please note that the application form does not constitute registration for the WiML Un-Workshop. To attend the un-workshop, you need to register for ICML at https://icml.cc . There is no separate registration for the un-workshop. PROGRAM ACCEPTED POSTERS Call for Participation The 1st WiML Un-Workshop is co-located with ICML on Monday, July 13th, 2020. The Women in Machine Learning will be organizing the first “un-workshop” at ICML 2020. This is a new event format to encourage more participant interaction, especially with ICML going virtual this year. The un-workshop is based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. Different from the workshop, the un-workshop’s main focus is topical breakout sessions, with short invited talks and casual, informal poster presentations. The overall goal of the un-workshop is to advance research through collaboration and increased interaction among participants from diverse backgrounds. Students, postdocs and researchers in all areas of Machine Learning who primarily identify as a woman and/or nonbinary are encouraged to submit one-page proposal to lead a breakout session on a certain research topic. While all presenters will identify primarily as a woman and/or nonbinary, all genders are invited to attend. Important dates May 26th, 2020 – Application form opens June 15th, 2020 – Deadline (anywhere on Earth) to apply for a breakout session, poster, registration fee funding, facilitating or volunteering June 22nd, 2020 – Notification of acceptance of breakout session’s proposals June 30th, 2020 – Notification of acceptance of posters, registration fee funding, facilitators, volunteers July 13th, 2020 – WiML Un-Workshop Day Various ways of participating in WiML u n-workshop Lead a breakout session: submit a proposal to lead a breakout session on a certain research topic. Facilitate a breakout session: assist breakout session leaders by taking notes and encouraging participant interactions and taking attendance. Present a poster: present a poster in a casual, informal setting. Volunteer: help with technical setup and in-event needs. Attend: participate in breakout session discussions. Breakout session proposals A breakout session is a 1-hour free-form discussion overseen by 1-3 leaders and with assistance from 1-2 facilitators to take notes and encourage participant interactions. We strongly encourage students, postdocs, and researchers who primarily identify as women and/or nonbinary in all areas of machine learning to submit a proposal to lead a topical breakout session. A complete proposal consists of a 1 page blind PDF (example here ) and the names and bios of leaders submitted separately in the application form. We strongly recommend having at least 2 leaders, with a diverse set of leaders preferred (see selection criteria below). The names of facilitators can also be provided if known at submission time. Otherwise, the organizers will match facilitators to breakout sessions. Breakout session leaders must identify primarily as women and/or nonbinary; facilitators can be of any gender. Only one proposal submission per leader is allowed. If there are multiple leaders, only one leader needs to submit the proposal. There are no proceedings. WiML registration fee funding is prioritized for accepted breakout session leaders who fulfill certain eligibility criteria (see details below) and do not have any other sources of funding. Breakout session guidelines: Role of leaders: Point-out key characteristics of your topic and make connections with other topics. Describe the key challenges in this research area on a high-level. Describe the key approaches on a high-level to provide intuition. Highlight possible points of discussion/goals to achieve during the session. Use graphics/imagery and materials e.g. slides as needed Encourage inclusive (rather than unilateral) discussions Role of facilitators: take notes and encourage participant interactions. Leaders and facilitators should anticipate a small additional time commitment before the un-workshop to receive briefing/training and a possible dry run. While the exact technology is still being determined, we anticipate using video-conferencing software (e.g. Zoom). Submission instructions for breakout sessions: Proposals must be no more than 1 page (including any references, tables, and figures) submitted as a PDF. Main body text must be minimum 11 point font size and page margins must be minimum 0.75 inches (all sides). Your proposal should stand alone, without linking to a longer paper or supplement. You should provide a brief description of the topics you’d like to discuss, any relevant references, a plan for how you’d organize the time (1 hour) allocated for a session, as well as some ideas on how you’d encourage discussion and participant interaction during the session. The PDF must not include identifying information, as it will be reviewed blind. In particular, the PDF should not contain information of the leaders or facilitators. Instead, submit their information in the application form. Selection criteria for breakout sessions: The degree to which it is expected that participants will find the topic interesting and valuable. Diversity of leaders and facilitators, including diversity of experience/seniority, affiliation, race, viewpoint and thinking regarding the topic, etc. Plans for encouraging discussion and participant interaction during the session. Facilitators If you are interested in facilitating a breakout session but have not yet connected with anyone submitting a breakout session proposal, you can indicate your interest in the application form. Organizers will match selected facilitators to breakout sessions. Facilitators should anticipate a small additional time commitment before the un-workshop to receive briefing/training and a possible dry run. Posters If you wish to present a poster, submit EITHER a short abstract (max 1500 characters) OR a PDF of the poster (only if you have it already). The poster may describe new, previously, concurrently published, or work-in-progress research. Posters in theory, methods, and applications are welcome. The poster presenter must identify primarily as a woman and/or nonbinary; other authors can be of any gender. The poster presenter does not need to be the first author of the work. Only one poster submission per presenter is allowed. Accepted posters will be presented in a casual, informal setting. This setting is very different from formal poster sessions, e.g. at WiML Workshop at NeurIPS. While the exact presentation format is still being determined, it may be as simple as a webpage with poster PDF and pre-recorded video. There are no oral or spotlight presentations. There are no proceedings. Submission instructions for posters: Submitted materials may contain identifying information, as posters for this un-workshop are not reviewed blind. Your submission should stand alone, without linking to a longer paper or supplement. You should convey motivation and give some technical details of the approach used. While we acknowledge that space is limited, some experimental results are likely to improve reviewers’ opinions of your poster. R egistration fee funding The virtual nature of ICML and this un-workshop allows individuals from all over the world to attend. By funding a number of ICML registrations, WiML hopes to further expand the range of participants at this un-workshop. To apply for funding, you should: identify primarily as a woman and/or nonbinary; be a student, postdoc, or have an equivalent position (equivalent positions include unemployed recent grads and early career researchers from underrepresented geographical regions). Accepted breakout session leaders who fulfill the above eligibility criteria and do not have any other sources of funding will be prioritized for WiML funding. Other participants are also encouraged to apply. Priority will be given to individuals from underrepresented regions or groups, first-time attendees of ICML or similar conferences, and individuals who would benefit the most from this funding. Funding recipients must participate in at least one breakout session as a leader, facilitator, or attendee. Due to limited funding, we may not be able to support everyone eligible; however, we hope to support as many eligible applicants as possible. We also encourage you to apply for ICML volunteer and funding opportunities, which are separate and independent of WiML funding. Check the ICML website directly for details. Volunteering We are seeking volunteers to help with technical setup and virtual technology testing before the event, as well as help during the event, e.g. letting people into Zoom rooms, etc. We may also need emergency reviewers for breakout session proposals. You can indicate if you can help in any way in the application form here . Participation instructions To participate in ANY of the above roles and/or apply for registration fee funding, please fill in this application form by **June 15, 2020**. Selected breakout session leaders, facilitators, poster presenters, volunteers, and funding recipients will be notified individually by the dates mentioned above. If you only wish to attend, we still recommend you fill in this form to provide your timezone and topic preferences. All participants are required to abide by the WiML Code of Conduct . Important note: This form does not constitute registration for the WiML Un-Workshop. To attend the un-workshop, you need to register for ICML at https://icml.cc . Submission is now open! Organizers Fariba Yousefi, University of Sheffield Caroline Weis, ETH Zurich Tatjana Chavdarova, EPFL & Idiap Research Institute Mandana Samiei, McGill University and Mila Larissa Schiavo Questions? Check out the FAQs or reach us at workshop[at]wimlworkshop[dot]org PLATINUM SPONSORS Committee ORGANIZERS Fariba Yousefi PhD Student at the University of Sheffield, General Chair Caroline Weis PhD Student at ETH Zurich, Finance & Sponsorship Chair Tatjana Chavdarova PhD Student at EPFL & Idiap Research Institute Senior Program and Networking Chair Mandana Samiei PhD Student at McGill University and Mila Breakout Program & Logistics Chair Larissa Schiavo Funding and Volunteers Chair Diversity and Inclusion Chair Rachel Thomas (fast.ai and University of San Francisco) Sinead Williamson (University of Texas Austin) Back To Top

< Back WiML @ Data & AI Careers Festival 2026 Woodhouse, England Previous Next

All events Black in AI-WiML Event: Speed Networking Sessions @ NeurIPS 2020 Virtual December 11, 2020 8:00 am - 9:00 am WiML is excited to announce the Black in AI-WiML Speed Networking Sessions @ NeurIPS 2020. Participants will be randomly paired up with another participant for 5-minute speed networking. Over the 1 hour session, you will receive several random pairings. We suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. When: Friday, December 11, 2020. There will be two 1-hour sessions: Speed Networking Session 1: 8 – 9am PT Speed Networking Session 2: 2 – 3pm PT How to join: These sessions take place on the Glimpse platform; each session has its own link. Find the links on Black in AI’s neurips.cc page: https://neurips.cc/virtual/2020/protected/affinity_workshop_19449.html (NeurIPS registration required to access). You can join anytime during a session. Please enter your real name when you first access the link. NeurIPS registered attendees are welcome to attend. Organized by Black in AI 2020 workshop organizers. Questions? Email blackinai2020@googlegroups.com . Black in AI is also organizing other social events before and after these sessions. See here for more info. Previous Next

All events 2nd WiML Mentoring Program for PhD Applications: Panel on Essay Writing Virtual October 6, 2022 9:00 am - 10:00 am This event, part of the WiML’s 2022-2023 Mentorship Program on the theme of PhD applications, takes place 9-10am PT in Zoom. Mentors and mentees of the 2022-2023 Mentorship Program are invited to attend. Panelists: Sinead Williamson (University of Texas Austin), Mihaela van der Schaar (University of Cambridge), Sanmi Koyejo (University of Illinois Urbana-Champaign; Stanford University), Awa Dieng (Mila) Moderator: Kristy Choi (Stanford University) Previous Next

< Back WiML Workshop 2011 Granada, Spain The 6th annual Women in Machine Learning workshop was colocated with NIPS 2011 in Granada, Spain in December 2011. Previous Next

All events WiML Social @ ICLR 2023 Kigali, Rwanda May 3, 2023 3:00 pm - 5:00 pm Date: May 3, 2023 Time: 3:00-5:00pm Loc: Larder Terrace (in the Hotel of the conference center) The topic of the panel will be AI moving forward, leaving no one behind . We hope to get a conversation going regarding ChatGPT, international collaborations, copyright issues of foundational models etc. The program is: 3:00 pm - 3.45 pm Introduction and networking 3.45 pm - 4.30 pm panel discussion on “AI moving forward, leaving no one behind” 4.30 pm – 5:00 pm Networking roundtables Panelist Bios Panelist: Tegan Maharaj Tegan is an Assistant Professor in the Faculty of Information at the University of Toronto, an affiliate of the Vector Institute and Schwartz-Reisman Institute for Technology and Society, and a visiting researcher at the Centre for the Study of Existential Risk at Cambridge University. She is also a managing editor at the Journal of Machine Learning Research (JMLR), the top scholarly journal in machine learning, and co-founding member of Climate Change AI (CCAI), an organization which catalyzes impactful work applying machine learning to problems of climate change. Prior to joining the iSchool, Tegan did her Ph.D. at Mila and Polytechnique Montreal, where she was an NSERC and IVADO-awarded scholar with Chris Pal. Her recent research has two themes (1) Real-world generalization, learning theory, and practical auditing tools (e.g. unit tests, sandboxes) to empirically evaluate learning behavior or simulate deployment of an AI system (2) Deep representation learning & predictive methods in ecological dynamical systems for impact assessment, policy analysis, and risk mitigation, especially for climate and common-good problems. Panelist: Kathleen Siminyu Kathleen Siminyu is an AI Researcher focused on Natural Language Processing(NLP) for African Languages. She works at Mozilla Foundation as a Machine Learning Fellow to support the development of a Kiswahili Speech Recognition dataset and to build transcription models for end use cases in the agricultural and financial domains. In this role, she is keen to ensure the diversity of Kiswahili speakers, in terms of age, gender, accent and language variant/dialect, is catered for in the dataset and models created. She would welcome opportunities exploring the application of speech technologies in education. Kathleen is also currently part of a committee constituted by the African Union to develop an Artificial Intelligence continental strategy for Africa. Before joining Mozilla, Kathleen was Regional Coordinator of AI4D Africa , where she worked with ML and AI communities in Africa to run research programs. One of these, a fellowship for African language dataset creation, led to the creation of over 9 African language datasets. For this work, Kathleen was listed as one of the MIT Technology Review 35 Innovators under 35 for 2022 . She has vast experience as a community organiser having co-organised the Nairobi Women in Machine Learning and Data Science community for three years and she continues to organise as part of the committees of the Deep Learning Indaba and the Masakhane Research Foundation . Supervolunteer: Hewitt Tusiime Hewitt Tusiime is a research assistant at the Makerere Artificial Intelligence Research lab at Makerere University with a particular interest in data science for finance and AI governance and ethics. She graduated from Makerere University with a Bachelor of Science in Software Engineering. She has worked on several research projects related to the application of machine learning algorithms in agriculture, natural language processing, and finance. She also has extensive experience designing and developing protocols for system deployment, ensuring effectiveness, and a smooth user adoption process. She is passionate about the ethical and social implications of AI on different groups of people. She also oversees community engagement while working to achieve research project objectives and strengthen bonds of trust between communities and the project teams. Organiser: Caroline Weis Dr. Caroline Weis is currently an AI/ML Engineer at GSK.ai , working on clinical machine learning applications. Centered around multi-omics and multimodal clinical data, her projects leverage approaches from biomarker discovery, model interpretability and personalised healthcare. Caroline joined GSK.ai after obtaining a PhD in Machine Learning for Healthcare from ETH Zurich, where she developed early clinical machine learning applications for antimicrobial resistance prediction, through developing new kernel methods, adversarial domain adaptation and representation learning. Her research was elected for the Remarkable Outputs award of 2021 by the Swiss Institute of Bioinformatics. Prior to that, she has built an academic background bridging microbiology, biomathematics, and biophysics. She worked on protein X-ray scattering at Lawrence Berkeley National Laboratory and gained experience developing machine learning applications for screening images at Genedata in Basel. She holds an MSc in Biotechnology and a BSc in Integrated Life Sciences. Previous Next

< Back Sasha Luccioni, PhD WiML Director (2022-2025)

Opportunity to meet, exchange ideas and learn from each other Read more The annual Women in Machine Learning (WiML) Workshop, co-located with NeurIPS, is our flagship event. WiML ORGANIZERS Gratitude to Workshop Organizers: WiML's Foundation and Inspiration WiML was founded in 2006 by Hanna Wallach, Jenn Wortman, and Lisa Wainer, with faculty advisor Amy Greenwald. 2007 workshop organizers: Hila Becker and Bethany Leffler. Faculty advisor Lise Getoor. 2008 workshop organizers: Luiza Antonie, Anna Koop, and Jo-Anne Ting. Faculty advisor Joelle Pineau. 2009 workshop organizers: Finale Doshi, Inmar Givoni, and Farheen Omar. Faculty advisor Daphne Koller. 2010 workshop organizers: Diane Oyen, En-Shiun Annie Lee, and Kate Saenko. Faculty advisor Marie desJardins. 2011 workshop organizers: Nevena Lazic, Monica Babes-Vroman, Rongjing Xiang. Faculty advisor Hanna Wallach. 2012 workshop organizers: Tamara Broderick, Minmin Chen, Pallika Kanani, and Tejaswini Narayanan. Faculty advisor Raquel Urtasun. 2013 workshop organizers: Jennifer Healey, Katie Kinnaird, Talieh S. Tabatabaei, Sonia Todorova 2014 workshop organizers: Allison Chaney, Marzyeh Ghassemi, Sarah Brown, and Jessica Thompson. 2015 workshop organizers: Abbie Jacobs, Kate Niehaus, Svitlana Volkova, Maithra Raghu, Ramya Ramakrishnan. Website 2016 workshop organizers: Diana Cai, Deborah Hanus, Sarah Tan, Isabel Valera, Rose Yu. Website 2017 workshop organizers: Genna Gliner, Ehi Nosakhare, Maja Rudolph, Danielle Belgrave, Negar Rostamzadeh. Website 2018 workshop organizers: Aude Hofleitner, Audrey Durand, Nyalleng Moorosi, Sarah Poole, Amy Zhang. Website 2019 workshop organizers: Michela Paganini, Sarah Aerni, Forough Poursabzi Sangdeh, Nezihe Merve Gürel, Bahare Fatemi. Website 2020 un-workshop organizers: Fariba Yousefi, Caroline Weis, Tatjana Chavdarova, Mandana Samiei, Larissa Schiavo. Website 2020 workshop organizers: Xinyi Chen, Erin Grant, Kristy Choi, Krystal Maughan, Xenia Miscouridou, Judy Hanwen Shen, Raquel Aoki, Belen Saldias, Melissa Woghiren, Elizabeth Wood. Website 2021 un-workshop organizers: Beliz Gokkaya, Wenshuo Guo, Arushi Majha, Hadia Mohmmed Osman Ahmed Samil, Berivan Isik, Liyue Shen, Olivia Choudhury, and Vaidheeswaran Archana. Website 2021 workshop organizers: Boyi Li, Mariya I. Vasileva, Linh Tran, Akiko Eriguchi, Meera Desai, S. Aga Lee, Jieyu Zhao, Salomey Osei, Sirisha Rambhatlam, Geeticka Chauhan, Nwamaka Okafor. Website 2022 un-workshop organizers: Paula Gradu, Vinitra Swamy, Giulia Clerici, Mozhgan Saeidi, Noor Sajid, Yina Lin, Shweta Khushu, Deeksha Shama. Website 2022 workshop organizers: Sergül Aydöre, Konstantina Palla, Gloria Namanya, Beliz Gunel, Mariam Arab, Kimia Nadjahi. Website 2023 un-workshop organizers: Giulia Luise, Priyadarshini Kumari, Stephanie Milani, Tiffany Ding, Arianna Bunnell. Website 2023 workshop orgnizers: Natasa Tagasovska, Kelly Buchanan, Megha Srivastava, Jess Sorrell, Hewitt Tusiime, Eda Okur, Shweta Khushu. Website 2024 symposium organizers: Elizabeth Healey, Maryleen Amaizu, Laya Rafiee Sevyeri, Irene Ballester Campos. Website 2024 workshop organizers: Tiffany Vlaar, Ibtihel Amara, Mehrnaz Mofakhami, Bo Zhao, Milica Cvetkovic, Nikita Saxena, Yolanne Yi Ran Lee, Mahsa Massoud. Website 2025 symposium organizers: Mariya Hendriksen, Sophia Abraham, Ninon Lizé Masclef, Meriem Mehri. Christianah Titilope Oyewale. Website 2025 workshop organizers: Ana Maria Quintero Ossa, Kristina Ulicna, Trisha Mittal, Kairan Zhao, Man Luo, Jean Amukwatse, Zeinab Abboud, Aishwarya Jadhav, Akshita Ramya Kamsali. Website ABOUT WiML WORKSHOPS Opportunity to meet, exchange ideas and learn from each other The annual Women in Machine Learning (WiML) Workshop, co-located with NeurIPS, is our flagship event. This day-long technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. The workshop started at the 2006 Grace Hopper Celebration and moved to NeurIPS in 2008. A History of WIML poster was created in 2015 to celebrate the 10th workshop. In 2020, WiML introduced an “un-workshop” at ICML based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. The overall goal of the un-workshop is to advance research through collaboration and increased interaction among participants from diverse backgrounds. A History of WiML Poster Professional and technical Open to all genders and inclusive Positive and productive

What kind of events do you organize? Our flagship event is the annual WiML Workshop, typically co-located with NeurIPS, a machine learning conference. Check out our events page for up-to-date listings of events. Do you have a list of members? How can I join WiML? How can I join the WiML mailing list? What kind of events do you organize? Do you have local meetups? How do I reach the WiML network? How can I sponsor WiML? I am looking for an invited speaker/panelist/area chair/program committee member/ etc. Can WiML help me? I want to circulate a job posting. Can WiML help me? How can I support WiML? How did WiML start? What's the founding story? I have a question that isn't here. How do I reach you? FAQ

< Back Diane Oyen, PhD WiML Director (2025-2026) Visit my Profile