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17th Women in Machine Learning Workshop (WiML 2022)

The Workshop is co-located with NeurIPS on Monday, November 28th, 2022 at the New Orleans Convention Center in Louisiana, USA.

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 17th year, the 2022 workshop is co-located in-person with NeurIPS 2022 at New Orleans in Louisiana.

Besides this annual workshop, 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

The in-person workshop will be co-located with NeurIPS in New Orleans, Louisiana on Monday, November 28th, 2022 .

Poster Dimensions

In person event:

Please pay attention to the dimensions of your posters.

Workshop posters should be printed on thin paper, not laminated and no larger than 24 inches wide x 36 inches high.

See more info regarding workshop poster dimensions here.

Virtual event: (details coming soon)


NeurIPS is kindly providing free onsite childcare to participants this year.

Registration to the NeurIPS conference is required to participate in this year's WiML workshop. For more information on how to register for the childcare service, please visit the NeurIPS website.

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Information for authors

Authors may find information about poster preparation and upload here.

We are looking forward to welcoming you!

Head over to our program webpage to check the list of speakers!

In order to attend our event, you complete both steps below:

  1. Register to NeurIPS 2022 here. To attend our in-person event, you need to register either for the NeurIPS “Conference” or Workshops” session. Registering for either physical component will grant you access to WiML .

    If you are attending virtually, the NeurIPS “Virtual Only Pass” will suffice. Early registration (with reduced rates) ends on October the 14th. Information about visa application, including visa letter invitation can be found here.


  1. Fill in our WiML registration form (free) here. This form helps us keep a headcount. Authors, co-authors and volunteers will be receiving promo codes by email. Authors and co-authors of accepted abstracts, area chairs and volunteers, should have already received promo-codes they may add during the Eventbrite registration.


Any physical (in-person) registration includes the NeurIPS ‘Virtual Only Pass’ and as such provides a pass to our virtual component too.

Attendees that are attending only virtually using the NeurIPS “Virtual Only Pass” registration, they will be able to access the livestream links of our in-person event.

Monday, November 28, 2022 [in-person]
(Time in CT)

Morning Session

7:30 am - 8:30 am Registration & Breakfast

8:30 am - 8:45 am Opening Remarks - Konstantina Palla (Senior Program Chair)

8:45 am - 9:00 am D&I Chair remarks - Danielle Belgrave

9:00 am - 9:10 am Contributed talk (Tejaswi Kasarla) - "Maximum Class Separation as Inductive Bias in One Matrix"

9:10 am - 9:20 am Contributed talk (Taiwo Kolajo) - "Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base"

9:20 am - 9:55 am Invited talk - Alice Oh - "The importance of multiple languages and multiple cultures in NLP research"

9:55 am - 10:10 am Coffee break

10:10 am - 10:25 am WiML Board Remarks - Jessica Schrouff

10:25 am - 11:00 am Invited talk - Raesetje Sefala - "Constructing visual datasets to answer research questions"

11:00 am - 11:10 am Contributed talk (Pascale Gourdeau) - "When are Local Queries Useful for Robust Learning?"

11:10 am - 11:20 am Contributed talk (Annie S Chen) - "You Only Live Once: Single-Life Reinforcement Learning"

11:20 am - 1:20 pm Mentorship roundtables & Lunch - Mentors: Adam Roberts, Stephanie Hyland, Bianca Zadrozny, Sima Behpour, Mercy Asiedu, Franziska Boenisch, Eleni Triantafillou, Isabela Albuquerque, Yisong Yue, Amy Zhang, Zelda Mariet, Tristan Naumann, Danielle Belgrave, Shakir Mohamed, Tong Sun, Gintare Karolina Dziugaite, Samy Bengio, Rianne van den Berg, Maja Rudolph, Luisa Cutillo, Ioana Bica, Clara Hu, Rosanne Liu, Jennifer Wei, Alice Oh, SueYeon Chung, Erin Grant, Sasha Luccioni, Michela Paganini, Mounia Lalmas-Roelke, Claire Vernade, Alekh Agarwal, Neema Mduma, Vinod Prabhakaran, Savannah Thais, Jonathan Frankle, Ce Zhang, Rose Yu, Jessica Schrouff, Bo Li, Katherine Heller, Ben Poole, Setareh Ariafar, Christina Pavlopoulou, Isabel Morlidge, Kavya Srinet, Cheng Zhang, Elise van der Pol, Diana Montanes, Lise Diagne, Le Yu, Megan Forrester.


Afternoon Session

1:20 pm - 1:55 pm Invited talk - Bianca Zadrozny - "Machine Learning for Climate Risk"

1:55 pm - 2:05 pm Contributed talk (Elizabeth Bondi-Kelly) - "Human-AI Interaction in Selective Prediction Systems"

2:05 pm - 2:15 pm Contributed talk (Gowthami Somepalli) - "Investigating Reproducibility from the Decision Boundary Perspective."

2:15 pm - 2:35 pm Coffee break

2:35 pm - 3:10 pm Invited talk -Hima Lakkaraju - "A Brief History of Explainable AI: From Simple Rules to Large Pretrained Models"

3:10 pm - 4:10 pm Panel discussion

4:10 pm - 4:20 pm Closing Remarks

4:20 pm - 4:30 pm Poster setup

4:30 pm - 6:00 pm Joint Affinity Groups Poster Session

Monday, December 5, 2022 [virtual]
(Time in ET)

9:30 am - 9:40 am Opening Remarks

9:40 am - 9:55 am Contributed talk (Okechinyere J Achilonu) - "Natural language processing for automated information extraction of cancer parameters from free-text pathology reports"

9:55 am - 10:10 am Contributed talk (Paula Harder) - "Physics-Constrained Deep Learning for Climate Downscaling"

10:10 am - 10:25 am Contributed talk (Silvia Tulli) - "Explanation-Guided Learning for Human-AI collaboration"

10:25 am - 10:40 am Contributed talk (Mina Ghadimi Atigh) - "Hyperbolic Image Segmentation"

10:40 am - 10:50 am Set up (for mentorship session)

10:50 am - 11:50 am Mentorship Panel (Discussion + Q&A) with


Jenn Wortman Vaughan (Microsoft Research),

Colin Raffel (University of North Carolina)

Kristen Grauman (University of Texas at Austin)

11:50 am - 12:00 pm Break

12:00 pm - 12:35 pm Sponsor Talks

2:00 pm - 4:00 pm Joint Affinity Groups Poster Session

Call for Participation

The 17th Workshop for Women in Machine Learning (WiML) will be co-located with NeurIPS in New Orleans, Louisiana and will be hybrid.

The NeurIPS workshop for Women in Machine Learning will be held in person on Monday November the 28th and virtually on Monday December the 5th with invited speakers, oral presentations, and posters. The event brings together members of the academic and industry research landscape for an opportunity to connect and exchange ideas, and learn from each other. There will be 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. All presenters should be women or non-binary, and all genders are invited to attend.

All submissions must abide by the WiML Code of Conduct.

Submission page:


Notification of acceptance is now sent to authors. Authors with accepted submissions and with a submitted travel funding application will be receiving further communication.



  • August 1st, 2022 11:59pm PT – Abstract Submission Open on CMT

  • August 26th, 2022 11:59pm PT – Abstract Submission Deadline

  • September 1st, 2022 11:59 PT - Abstract Submission Deadline [extended]

  • September 8th, 2022 11:59pm PT - Travel funding Application Deadline

  • September 15th, 2022 11:59pm PT – Notification of Acceptance

  • September 16th, 2022 11:59pm PT – Notification of Travel Funding

  • November 21st, 2022 11:59pm PT – Registration Deadline for NeurIPS

  • November 28th, 2022 – WiML Workshop Day (in person)

  • December 5th, 2022 – WiML Workshop Day (virtual)


We strongly encourage students, postdocs, and researchers in all areas of machine learning who are women or non-binary to submit an abstract (1 page PDF) describing new, previously, or concurrently published research. We welcome abstract submissions in theory, methodology, as well as applications. While the presenting author need not be the first author of the work, we request that the presenting author should be woman or non-binary.

Submissions will be reviewed in a double-blind setting. Authors of accepted abstracts will be asked to present their work in either a virtual or in-person poster session. A few authors will be selected to give oral presentations. There are no formal proceedings. Abstracts are non-archival: they may describe completed research or work-in-progress.

Please refer to the detailed Submission Instructions.



Registration to the NeurIPS conference is required to participate in this year's WiML workshop. Travel funding will be available for eligible WiML participants, to help cover transportation, meals, accomodation, poster printing and/or visa application related costs. The funding amounts will depend on the geographic location of the qualified recipients and their types of needs. Travel funding recipients are required to volunteer during the WiML Workshop.

To qualify, the participant must: i) be a woman or non-binary, ii) be the presenting and primary author of an accepted abstract at WiML 2022, and iii) be a student, postdoc, or hold an equivalent position (equivalent positions include unemployed recent grads and early career researchers from underrepresented geographical areas). WiML travel funding is administered as reimbursements after the workshop and no funding is allocated before the workshop.

If you are attending NeurIPS, we also encourage you to apply for NeurIPS’ volunteering and travel funding opportunities, which are separate and independent of WiML travel funding. More details can be found on the NeurIPS website.

Travel funding application form [now CLOSED]: Authors that have submitted their work will receive the application form starting on September 2, 2022. The application deadline is September 8th, 2022. Applications received past this deadline will not be considered.

* Important Note * More information on funding opportunities can be found in our FAQ section of our webpage.



Area chairs should be women or non-binary. The role of area chairs is to write a review and suggest an accept/reject decision for each abstract. We expect each area chair to be responsible for up to 10 one-page abstracts.

Area chair application form [now CLOSED]: If you are interested in being an area chair, please apply via the application link. Update: the deadline for the AC application has now passed (deadline August 24th). Thank you for your interest.


Visa invitation letter

Information on visa invitation letter requests can be found in our FAQ section of our webpage.



  • Sergul Aydore (Amazon AI)

  • Gloria Namanya (Makerere AI Research)

  • Mariam Arab (Microsoft and Simon Fraser University)

  • Beliz Gunel (Google AI)

  • Kimia Nadjahi (MIT)

  • Konstantina Palla (Spotify Research)

Questions? Check out the FAQs or reach us at workshop[at]wimlworkshop[dot]org