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All events WiML social @ EurIPS 2025 TBD - Copenhagen, Denmark December 3, 2025 TBD More information about the WiML social @ EurIPS coming soon. WiML Social Organizers Ana Lucic (Website: https://a-lucic.github.io/ ) I am an assistant professor in AI at the University of Amsterdam, with a joint position between the Institute for Logic, Language, and Computation, and the Informatics Institute. My work focuses on interpretable machine learning for the natural sciences. Previously, I was a researcher at Microsoft Research AI for Science, where I was one of the core scientists behind the Aurora foundation model. I was also a research fellow at the Partnership on AI. I have a PhD in explainable ML from the University of Amsterdam, supervised by Maarten de Rijke and Hinda Haned. My MSc and BSc are both in mathematics from McMaster University. Date: December 3rd, 2025 (Wednesday) Time: TBD Place: TBD - Copenhagen, Denmark Stella Grasshof (Website: https://stellagrasshof.com/ ) I am an Assistant Professor in the Data Science section at the IT University of Copenhagen and at the Pioneer Centre for Artificial Intelligence. I hold an M.Sc . in Computational Life Science from Universität zu Lübeck and a Dr.-Ing. (PhD) from the Leibniz Universität Hannover (Germany). My research lies at the intersection of human-centred machine learning and visual computing, with a focus on generative AI for images and video, human faces and motion, computer vision, and applications in mental health. Additionally, I am part of the Lundbeck Foundation Investigator Network (LFIN), where I serve as a board member. WiML board liaison Giulia Clerici – WiML EurIPS liaison Tatjana Chavdarova – WiML Vice president of Events Alessandra Tosi - WiML Vice president of Programs Thanks to our Sponsors! Previous Next

WIML Events Endorsed Events: WiML endorsed events are events supported by WiML, through financial support and/or social media promotion, but are not directly organized by WiML. WiML-endorsed events abide by WiML’s code of conduct. Mentorship Program: WiML Mentorships are designed for the advancing of careers of women and non-binary people studying and working in machine learning. Many of our events have mentorship roundtables that bring together mentors and attendees in close conversation on technical and career topics. Workshops: 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. Socials & Networking: Social description Symposium: Symposium description Filter items by Event Type. Endorsed Events Mentorship Program Socials & Networking Symposium Workshops WiML social @ EurIPS 2025 TBD - Copenhagen, Denmark December 3, 2025 Read More WiML Workshop @ NeurIPS 2025 San Diego, CA, USA. December 2, 2025 Read More WiML Symposium @ ICML 2025 Vancouver, Canada July 16, 2025 Read More WiML Social @ ICLR 2025 Singapore April 25, 2025 Read More WiML Luncheon @ KHIPU 2025 Universidad de Chile, Santiago, Chile and virtual March 14, 2025 Read More WiML @ AAAI-25 Women’s Mentoring Lunch Philadelphia, PA, USA March 2, 2025 Read More 13 Page 1

We work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices Our Projects ABOUT WIML Shining a Spotlight on Women's Excellence in Machine Learning: Inspiring the Next Generation We work to increase awareness and appreciation of the achievements of women in machine learning. Our programs help women build their technical confidence and their voice, and our publicity efforts help ensure that women in machine learning and their achievements are known in the community. See Our Events OUR PROJECTS Building Leaders, Bridging Gaps MENTORSHIP We run yearlong mentorship programs to help women working in machine learning give and receive advice, gain knowledge, and make connections. DIRECTORY We maintain a directory of women working in machine learning. Are you a woman or gender minority in the field of Machine Learning? Add yourself to the Directory by creating an account. PROFILES We post profiles highlighting the research and technical accomplishments of women working in machine learning. Read their profiles here and follow us on Facebook to receive updates when new profiles are posted.

Our generous partners sponsor WiML’s events, activities and programs on an annual basis. We also seek sponsors specifically for WiML Workshop, our flagship annual workshop co-located with NeurIPS. For any inquiries regarding yearlong partners or workshop sponsorship, contact sponsorship@wimlworkshop.org. For any other enquiries, contact info@wimlworkshop.org. Partners Our generous partners sponsor WiML’s events, activities and programs on an annual basis. We also seek sponsors specifically for WiML Workshop, our flagship annual workshop co-located with NeurIPS. For any inquiries regarding yearlong partners or workshop sponsorship, contact sponsorship@wimlworkshop.org. For any other enquiries, contact info@wimlworkshop.org . Corporate Partners Former Partners Our generous partners sponsor WiML’s events, activities and programs on an annual basis. For a list of partners that have supported us in the past click here .

All events WiML @ Tübingen Women in ML-- Academia and Industry careers Max Planck Institute for Intelligent Systems-- Tübingen, Germany and Virtual October 11, 2024 It will be over the full day, very similar to a WiML workshop: 4-5 talks, a networking game, a poster session and a panel on academia and industry careers. Registration is open to all. The main idea is to bring local women together, including master and bachelor students. We designed the program to favor inclusion and give mentoring support to junior women in ML and adjacent fields. Additional information can be found here and by email at claire.vernade@uni-tuebingen.de . Previous Next

All events WiML @ Mujeres en Inteligencia Artificial (Women in Artificial Intelligence) El Montonero Restaurant, Alameda Pardo 123, Cercado, Peru and Virtual February 20, 2025 19:00 - 21:30hrs The event will feature a 35-minute panel discussion with three female experts in AI. The panel will explore strategies for empowering women to thrive in the field of Artificial Intelligence and Machine Learning, drawing insights from the speakers' professional journeys. Additionally, the discussion will delve into technical trends and advancements, with each speaker sharing their perspectives on the future of AI within their specialized areas, such as Natural Language Processing (NLP), Computer Vision (CV), and Responsible AI. The session will conclude with a Q&A segment, followed by a dinner and networking opportunity to foster meaningful connections. Organizers: Rosa Paccotacya Yanque, Nils Murrugarra Llerena Additional information can be found by email at nem177@pitt.edu or rypaccotacya@ucsp.edu.pe . Previous Next

All events WiML Luncheon @ KHIPU 2025 Universidad de Chile, Santiago, Chile and virtual March 14, 2025 We're building a vibrant community of AI leaders, researchers, and enthusiasts dedicated to: ● Advancing AI education through free, world-class training ● Connecting and empowering Latin American AI talent across borders ● Unleashing AI's potential to address challenges and create opportunities in the region We believe in inclusive participation. KHIPU 2025 offers free registration for all accepted participants and travel support for selected students. A networking lunch will be offered on Friday 14th March. The idea is to give advice on topics which are usually challenging, such as interviews or salary negotiation. Organizer: KHIPU Additional information can be found here or email at jdunstan@uc.cl . Previous Next

All events WiML @ ALT 2025 Milan, Italy and Virtual February 24, 2025 A social dinner at the Algorithmic Learning Theory (ALT) 2025, including networking games and a short mentoring talk, prioritizing women and/or non-binary colleagues though the registration is open to all. Organizers: Claire Vernade and Tatjana Chavdarova Addition information can be found here or by email claire.vernade@gmail.com . Previous Next

All events WiML @ AAAI-25 Women’s Mentoring Lunch Philadelphia, PA, USA March 2, 2025 12:30pm ET to 2:00 pm ET The AAAI-25 Women’s Mentoring Lunch is an event for women and non-binary students and early career researchers to make connections with their peers and leaders in our field. Brief introductory remarks and/or a panel discussion will prime discussion over lunch in smaller breakout groups, where participants can freely discuss issues affecting their career goals and overall well-being, such as managing technical demands of research, managing the job market, managing work-life balance, and so on. Our aim is to create a safe, welcoming, and inclusive environment where connections of all types (mentor-mentee, peer-peer) can be made and persist over future conference Organizers: Maria Chang, Paula Rodriguez-Diaz Additional information can be found Here or by email maria.chang@ibm.com . Previous Next

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Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices, Building Leaders, and Bridging Gaps to enhance the experience of women in machine learning. 13th Women in Machine Learning Workshop (WiML 2018) The 13th WiML Workshop is co-located with NeurIPS in Montreal, Quebec on Monday, December 3rd, 2018. 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. Now in its 13th year, the 2018 workshop is co-located with NIPS in Montreal, Canada. A History of WiML poster was created to celebrate the 10th workshop, also held in 2015 in Montreal, Canada. Besides this un-workshop and annual workshop which is co-located with NeurIPS, Women in Machine Learning also organizes events such as lunch at ICML and AAAI conferences, 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 Emma Brunskill Stanford Po-Ling Loh UW-Madison Raquel Urtasun Uber / University of Toronto Isabel Kloumann Facebook Megan Maher Apple Cascaded Dataset QA Lanlan Liu University of Michigan Jennifer Drexler MIT Amanda Rios USC Katherine M. Kinnaird Smith College Location This workshop takes place in Palais des Congrès in Montreal. Convention Center Rooms More details about the workshop and poster sessions will be provided shortly. PROGRAM MENTORSHIP ROUNDTABLES SPONSOR TABLES Sunday, December 2 12:00 pm – 2:00 pm Registration desk open 6:00 pm – 10:00 pm WiML Dinner (Optional) (Separate registration required) Monday, December 3 All events are held in Rooms 517AB and 516C, except for the evening poster session, which takes place in Room 210. 8:00 am – 12:00 pm Registration Open 8:00 am - 9:00 am Breakfast 9:00 am – 9 :10 am Opening Remarks – (WiML Organizers) 9:10 am – 9:50 am Invited talk 1 – Isabel Kloumann 9:50 am – 10:10 am Contributed talk 1 – Lanlan Liu 10:10 am – 10:30 am Contributed talk 2 – Megan Maher 10:30 am – 10:50 am Coffee Break 10:50 am – 11:30 am Invited talk 2 – Po-Ling Loh 11:30 am – 11:50 am Contributed talk 3 – Amanda Rios 11:50 am – 1:00 pm Mentorship Circles 11:00 pm – 2:30 pm Lunch + Poster Session 2:30 pm – 3:10 pm Invited talk 3 – Raquel Urtasun 3:10 pm – 3:30 pm Contributed talk 4 – Jennifer Drexler 3:30 pm – 3:50 pm Coffee Break 3:50 pm – 4:30 pm Invited talk 4 – Emma Brunskill 4:30 pm – 4:40 pm Closing remarks 6:00 pm – 7:30 pm Poster Session 2 (co-located with NeurIPS reception) NeurIPS Main Conference (NeurIPS registration required) 5:00 pm NeurIPS Opening Remarks This year we have four categories of mentorship roundtables: Research Roundtables (Tables 1-15), Career Advice Roundtables (Tables 17-44), Company Career Tables (Tables 45-61). Monday, December 3rd: 11:50am - 1:00pm Tables subject to change Research topics Table 1: Reinforcement learning – Anima Anandkumar NVIDIA/Caltech Professor (post-tenure) Table 2: Bayesian optimization and causal inference – Eytan Bakshy Facebook Research Scientist/ Engineer Table 3: Balance: between academia and industry, work and life – Emily Fox University of Washington Professor (post-tenure) Table 4: Deep learning – Yarin Gal University of Oxford Professor (post-tenure) Table 5: Bayesian models, graphical models, learning theory and statistical inference – Po-Ling Loh UW-Madison Professor (pre-tenure) Table 6: Systems for ML – Kim Hazelwood Facebook Engineering Manager (former tenured Professor) Table 7: Causal inference and counterfactuals – Sara Magliacane IBM Research Researcher Table 8: Computer Vision – Adriana Romero Facebook AI Research Research Scientist and adjunct professor Table 9: Time series – Negar Ghourchian Aerial Technologies Director of AI Table 10: Robotics – Sanja Fidler University of Toronto, NVIDIA Professor (pre-tenure) Table 11: Healthcare applications – Tess Berthier Imagia Research Scientist/ Engineer Table 12: Fairness – Joaquin Quiñonero Candela Facebook Director of AI Engineering Table 13: Natural Language Processing – Aida Nematzadeh DeepMind Research Scientist/ Engineer Table 14: Social science – Svitlana Volkova Pacific Northwest National Laboratory Research Scientist/ Engineer Table 15: Recommender system, information retrieval – Putra Manggala Shopify Data Scientist/ Engineer Table 16: Data Visualization – Fernanda Viegas Google Research Scientist/ Engineer Career and general advice topics Table 17: Work life balance (industry) I – Dilan Gorur DeepMind Research Scientist/ Engineer Table 18: Work life balance (industry) II – Yinyin Liu Intel AI Head of Data Science, Intel AI Table 19: Work life balance (academia) – Isabel Valera Max Planck Institute for Intelligent Systems Group leader Table 20: Life with kids – Corinna Cortes Google Research Scientist/ Engineer Table 21: Getting a job (industry) I – Been Kim Google brain Research Scientist/ Engineer Table 22: Getting a job (industry) II – Lily Hu Salesforce Research Research Scientist/ Engineer Table 23: Getting a job (academia) – Sinead Williamson UT Austin / Amazon Professor (pre-tenure);Research Scientist/ Engineer Table 24: Doing a Post Doc – Timnit Gebru Google Research Scientist/ Engineer Table 25: Academia vs. Industry I – Claire Vernade Google DeepMind Research Scientist/ Engineer Table 26: Academia vs. Industry II – Raquel Urtasun Uber ATG / University of Toronto Chief Scientist, Associate Professor Table 27: Research in Industry I – Joelle Pineau McGill University / Facebook Professor (post-tenure), Research Scientist/ Engineer Table 28: Research in Industry II – Lisa Amini IBM Research AI Research Scientist/ Engineer Table 29: Keeping up with academia while in industry I Ian Goodfellow Google AI Research Scientist/ Engineer Table 30: Keeping up with academia while in industry II David Vazquez Element AI Research Scientist/ Engineer Table 31: Surviving graduate school I – Chelsea Finn Google, UC Berkeley Postdoc;Professor (pre-tenure);Research Scientist/ Engineer Table 32: Surviving graduate school II – Priya Donti Carnegie Mellon University PhD student Table 33: Seeking funding: fellowships and grants – Sarah Tan Cornell / UCSF PhD student Table 34: Establishing collaborations – Eric Sodomka Facebook Research Scientist/ Engineer;Data Scientist/ Engineer Table 35: Joining startups – Rachel Thomas fast.ai Research Scientist/Engineer;co-founder Table 36: Career advice & Work/life balance – Neil Lawrence Amazon, University of Sheffield Machine Learning Director, Professor Table 37: Founding startups – Sarah Osentoski Free Agent Sole Proprietor Table 38: Scientific communication – Katie Kinnaird Brown University Postdoc Table 39: Networking – Inmar Givoni Uber ATG Sr Engineering Manager Table 40: Building your professional brand – Hanna Wallach Microsoft Professor (post-tenure);Research Scientist Table 41: Long-term career planning – Negar Rostamzadeh Element AI Research Scientist/ Engineer Table 42: Commercializing your research – Nesreen Ahmed Intel Research Senior Research Scientist Table 43: Finding Mentors – Feryal Behbahani Latent Logic Research Scientist/ Engineer Table 44: Junior faculty life – Emma Brunskill Stanford Assistant Professor Industry career tables Table 45: Careers @ DeepMind Doina Precup, Anna Harutyunyan, Daniel Toyama Table 46: Careers @ Facebook Amy Zhang Table 47: Careers @ Google Kristen Hofstetter Table 48: Careers @ IBM Lisa Amini Table 49: Careers @ CapitalOne Hongjun Wang Table 50: Careers @ Adobe Dhanashree Balaram Table 51: Careers @ Amazon Dilek Hakkani-Tur, Hongyi Liu, Cheng Tang Table 52: Careers @ Apple Michelle Chen Table 53: Careers @ Dessa Jodie Zhu Table 54: Careers @ Intel Jennifer Healey, Anna Bethke Table 55: Careers @ Microsoft Wendy Tay Table 56: Careers @ Samsung Daedeepya Yendluri, Ghazaleh Moradiannejad Table 57: Careers @ Unity Marilyn Hommes Table 58: Careers @ Element AI Perouz Taslakian Table 59: Careers @ Oracle Labs John Tristan Table 60: Careers @ Shell Neilkunal Panchal, Jeremy Vila, Mauricio Araya, Rayetta Seals Table 61: Careers @ Wayfair Patricia Stichnoth Recruitment Tables Recruitment tables from our major sponsors will be set up in room 516c for the duration of the workshop. Table A: Careers @ IBM Table B: Careers @ Apple Table C: Careers @ Samsung Table D: Careers @ Google Table E: Careers @ Unity3D Table F: Careers @ Amazon Table G: Careers @ Facebook Table H: Careers @ Adobe Table I: Careers @ Microsoft Table J: Careers @ Deepmind Table K: Careers @ Dessa Table L: Careers @ Intel Call for Participation The 13th WiML Workshop is co-located with NIPS in Montreal, Quebec on Monday, December 3rd, 2018. The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, and research scientists for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in machine learning. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. While all presenters will identify primarily as female, all genders are invited to attend. Important Dates September 7th, 2018 11:59pm PST – Abstract submission deadline October 15th, 2018 – Notification of abstract acceptance TBA – Travel grant application deadline TBA – Registration Deadline December 3rd, 2018 – Workshop Day Submission Instructions We strongly encourage students, post-docs and researchers who primarily identify as women or nonbinary in all areas of machine learning to submit an abstract describing new, previously, or concurrently published research. We welcome abstract submissions, in theory, methodology, as well as applications. Abstracts may describe completed research or work-in-progress. While the presenting author need not be the first author of the work, we encourage authors to highlight the contribution of women — particularly the presenting author — in the abstract. Authors of accepted abstracts will be asked to present their work in a poster session. A few authors will be selected to give 15 minute oral presentations. Submissions will be peer-reviewed in a double-blind setting. Authors will be automatically added to the reviewer pool and asked to review. Student and post-doc authors who review for WiML will be eligible for travel awards. Submission page: WiML 2018 CMT Style guidelines: Abstracts must not include identifying information Abstracts must be no more than 1 page (including any references, tables, and figures) submitted as a PDF in NIPS format. Upload the PDF, do not paste in the abstract box. Do not include any supplementary files with your submission. Content guidelines: Your abstract 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 appreciate that space is limited, some experimental results are likely to improve reviewers’ opinions of your paper. Acceptance criteria: All accepted papers must be presented by the submitting author, or another author who identifies primarily as a woman or nonbinary. Abstracts will be reviewed by at least two reviewers plus an area chair, who will use the following criteria: Is this paper appropriate for WiML? I.e. Does it describe original research in Machine Learning or related fields? Does the abstract describe work that is novel and/or an interesting application? Does the abstract adequately convey the material that will be presented? Examples of accepted abstracts from previous years. Due to the volume of submissions anticipated, we are unable to review any submitted materials besides the requested abstract. Travel Scholarships Travel Awards are available for presenting authors only. To qualify, the author must be a student or postdoc, their abstract must be accepted, and they must volunteer to serve as a reviewer for WiML. The amount of the travel award varies by the author’s geographical location and the total amount of funding WiML receives from our sponsors. In the past awards ranging from $300-$900 have been granted. All travel grants are administered as refunds and no funding is allocated before the conference. Area Chairs If you are interested in being an area chair, please email wiml2018@wimlworkshop.org with subject line “Area Chair for WiML 2018”. The role of area chairs is to evaluate the reviews, write a final meta-review and suggest acceptance/reject decisions for each abstract. We expect each area chair to be responsible for 10 short abstracts with each abstract having a maximum word limit of 500 words. Organizers Audrey Durand (McGill University) Aude Hofleitner (Facebook) Nyalleng Moorosi (CSIR) Sarah Poole (Stanford University) Amy Zhang (McGill University / Facebook AI Research) PLATINUM SPONSORS DIAMOND SPONSORS GOLD SPONSORS SILVER SPONSORS BRONZE SPONSORS SUPPORTERS BRONZE SPONSORS Committee ORGANIZERS Audrey Durand Mila / McGill University Aude Hofleitner Facebook Nyalleng Moorosi Google AI Sarah Poole Verily Amy Zhang Mila / McGill University / Facebook BOARD OF DIRECTORS Katherine M. Kinnaird (President) Smith College Allison Chaney (Vice President) Princeton University Jennifer Healey (Vice President) Intel Labs Jessica Thompson (Secretary) Université de Montréal Sarah Brown (Treasurer) Brown University Tamara Broderick Massachusetts Institute of Technology Raia Hadsell DeepMind Abigail Jacobs University of California, Berkeley Been Kim Google Brain Katie Niehaus Freenome Sarah Tan Cornell University / UCSF SENIOR ADVISORY COUNCIL Hanna Wallach (WiML Co-Founder) Microsoft Research / UMass Amherst Jenn Wortman Vaughan (WiML Co-Founder) Microsoft Research Emma Brunskill Stanford University Finale Doshi-Velez Harvard University Barbara Engelhardt Princeton University Marzyeh Ghassemi University of Toronto / Vector Institute Inmar Givoni Uber ATG Katherine Heller Duke University Pallika Kanani Oracle Labs Claire Monteleoni University of Colorado Boulder Sarah Osentoski Mayfield Robotics Svitlana Volkova Pacific Northwest National Laboratory Sinead Williamson University of Texas at Austin Alice Zheng Amazon FAQs Do you have a list of members? How can I join WiML? WiML doesn’t have “members” per se, any women working in machine learning can be part of the WiML network. We have a mailing list for anyone to post announcements of interest to the WiML network and an opt-in, necessarily incomplete directory of women working in machine learning . How can I join the WiML mailing list? Join the mailing list directly here . What kind of events do you organize? Our flagship event is the annual WiML Workshop, typically co-located with NeurIPS, a machine learning conference. We also organize an “un-workshop” at ICML, as well as small events (e.g. lunches and receptions) at other machine learning conferences, such as CoRL, COLT, etc. Check out our events page for up-to-date listings of events. Do you have local meetups? No, but check out WiMLDS (website, Twitter), another organization that supports women in machine learning by organizing local meetups. How do I reach the WiML network? Use our mailing list . How can I sponsor WiML? Thank you for your interest in sponsoring WiML! See this page for more information. I am looking for an invited speaker / panelist / area chair / program committee member etc. Can WiML help me? Use our directory of women in machine learning or post this opportunity to our mailing list . I want to circulate a job posting. Can WiML help me? Post directly to our mailing list . How can I support WiML? You can: Post interesting opportunities and job postings to our mailing list . Use our directory of women in machine learning to find invited speakers, panelists, area chairs, program committee members, etc, or post these opportunities to our mailing list . Sponsor us. See this page for more information. Volunteer at one of our events. Check out our events page for up-to-date listings of events. Apply to be an area chair or reviewer at WiML Workshop (see this year’s workshop website for info). Take pictures at our events and share with us (tag @wimlworkshop on Twitter). If you see us mentioned in the media, send us a link at info@wimlworkshop.org . And many others! How did WiML start? What's the founding story? Hanna Wallach, Jennifer Wortman Vaughan, Lisa Wainer, and Angela Yu shared a room at NIPS 2005. Late one night, they talked about how exciting it was that there were FOUR female students at NIPS that year. They tried to list all the women in machine learning they know of and got to 10, then started talking about creating a meeting or gathering for all these women and perhaps others that they didn’t know about. Jenn, Lisa, and Hanna put together a proposal for a session at the 2006 Grace Hopper Celebration of Women in Computing that would feature talks and posters by female researchers and students in machine learning. The 1st WiML workshop was co-located with the 2006 Grace Hopper Celeberation. In 2008, WiML Workshop moved to NIPS (renamed NeurIPS in 2018) and there has been a WiML Workshop at NeurIPS every year since. 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. Read more WiML history here ! I am a man. Can I attend WiML? Yes. Allies are welcome to attend! Note, however, that all speakers and poster presenters will primarily identify as women, nonbinary, or gender-nonconforming, as our goal is to promote them and their work within the machine learning community. What are the mentorship roundtables? Each table seats 8-10 people (including mentors), with two mentors leading the discussion on a particular topic at each table. WiML attendees rotate between tables every 15-20 minutes. This allows attendees to gain exposure to different topics, and mentors to meet a large number of WiML attendees. Is WiML an archival venue? No, WiML is a non-archival venue. This means that, if your contribution is accepted, we will not be asking you to submit a camera-ready version of it, nor will we publish it anywhere (neither online nor in proceedings of any sort). We will only make the title and authors’ names available in the program book. I have a question that isn't answered here. How do I reach you? We receive a lot of email. Help us help you by reaching out through the appropriate channels. Job posting, announcement, CFP, etc: Post directly to WiML mailing list . Have event pictures to share: post on Twitter and tag @wimlworkshop Workshop enquiries: workshop@wimlworkshop.org If you are a company interested in sponsoring WiML: sponsorship@wimlworkshop.org Any other enquiries: info@wimlworkshop.org If you email us, don’t cc multiple email addresses — this saves us time routing your email to one mailbox, and reduces the chances of your email getting lost. Thank you in advance! Back To Top

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