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Workshop: Women in Machine Learning

Xinyi Chen, Erin Grant, Kristy Choi, Krystal Maughan, Xenia Miscouridou, Judy Hanwen Shen, Raquel Aoki, Belén Saldías, Mel Woghiren, Elizabeth Wood

2020-12-09T01:40:00-08:00 - 2020-12-09T18:00:00-08:00
Abstract: The Women in Machine Learning (WiML) workshop started in 2006 as a way of creating connections within the small community of women working in machine learning in order to encourage mentorship, networking, and interchange of ideas. The workshop has attracted representatives from both academia and industry, whose talks showcase some of the cutting edge research being done by women. In addition to technical presentations and discussion, the workshop aims to incite debate on prospective research avenues and career choices for machine learning professionals. More information about WiML’s history and past events can be found at www.wimlworkshop.org. WiML workshop is overseen by the WiML Board of Directors, who select and support the organizing committee for each year’s workshop.

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To help navigate the virtual WiML Workshop @ NeurIPS 2020, we have compiled a list of important links and guidelines below:

1. All activities, such as the talks, mentorship roundtables, sponsor expo, and social events, will take place in the Gather.Town WiML world (https://neurips.gather.town/app/DbxKEp9W7yaLyK9F/wimlworkshop-neurips2020). Please fill out the participation form and accept the WiML Code of Conduct to access the Gather.Town: https://forms.gle/gEiRaZ6VnFXattv57

2. The joint affinity groups poster session will be hosted in a separate Gather.Town link (https://neurips.gather.town/app/2Ae1gXCZb4bI4MW2/affinity-groups-neurips20). *Please note that the poster session will take place on Monday, December 7th at 8:30-10:30p UTC / 3:30-5:30p EST / 12:30-2:30p PST.*

3. Asking questions in live Q&A: To ask the speaker a question, you may: (a) join Zoom by clicking the link at the top of this page; or (b) type your question directly into the Rocket.Chat at the top of this page. The moderator will monitor the chat to convey selected questions to the speaker.

4. Please refer to the WiML workshop program book for details on all the program activities: https://bit.ly/3mOgpXE

5. The Gather.Town guidelines contains information about how to make full use of your experience at Gather.Town as well as troubleshooting common technical issues: https://bit.ly/2Igp45Z

6. Finally, we’d love to hear your thoughts on the virtual workshop experience. Please fill out the exit survey at the end of the workshop and enter for a chance to win a $$25 gift card: bit.ly/3m3v0ht

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To see video, interact with the author and ask questions please use registration and login.

Schedule

2020-12-07T12:30:00-08:00 - 2020-12-07T14:30:00-08:00
Joint affinity groups poster session
2020-12-09T01:30:00-08:00 - 2020-12-09T01:40:00-08:00
[Important Link] Gather.Town for WiML World
2020-12-09T01:30:00-08:00 - None
[Important Link] Asking questions during live Q&A
2020-12-09T01:30:00-08:00 - None
[Important Link] Exit survey
2020-12-09T01:30:00-08:00 - None
[Important Link] Gather.Town guidelines
2020-12-09T01:30:00-08:00 - 2020-12-09T01:40:00-08:00
[Important Link] WiML program book
2020-12-09T01:40:00-08:00 - 2020-12-09T02:40:00-08:00
Informal pre-workshop social
2020-12-09T02:40:00-08:00 - 2020-12-09T02:50:00-08:00
Opening remarks from the WiML 2020 Organizers
Xinyi Chen, Erin Grant
2020-12-09T02:50:00-08:00 - 2020-12-09T03:00:00-08:00
Remarks from the WiML 2020 Diversity & Inclusion Chairs
Danielle Belgrave, Meire Fortunato
2020-12-09T03:00:00-08:00 - 2020-12-09T03:02:00-08:00
Introduction to invited speaker, Mihaela van der Schaar
Kristy Choi, Krystal Maughan
2020-12-09T03:02:00-08:00 - 2020-12-09T03:32:00-08:00
Interpretable AutoML: Powering the machine learning revolution in healthcare in the era of Covid-19 and beyond
Mihaela van der Schaar
2020-12-09T03:32:00-08:00 - 2020-12-09T03:40:00-08:00
Q&A for invited speaker, Mihaela van der Schaar
Mihaela van der Schaar
2020-12-09T03:40:00-08:00 - 2020-12-09T03:50:00-08:00
Learning rich observation models in factor graphs
Paloma Sodhi
2020-12-09T03:50:00-08:00 - 2020-12-09T04:00:00-08:00
Rebounding bandits for modeling satiation effects
Leqi Liu
2020-12-09T04:00:00-08:00 - 2020-12-09T05:00:00-08:00
Poster session #1
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Learning generalized visual representations at Facebook
Deepti Ghadiyaram, Sophia Yan
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Microsoft inspires young women to pursue careers in STEM
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
QuantumBlack: Revolutionizing advanced industries using machine learning
Diana Murgulet
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Sponsor expo
2020-12-09T05:00:00-08:00 - 2020-12-09T06:00:00-08:00
Informal sponsor expo socials
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Research at NVIDIA: New Core AI and Machine Learning Lab
Anima Anandkumar
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Machine Learning at ServiceNow
Dorit Zilbershot
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Women at DeepMind: Applying for technical roles
Feryal Behbahani, Mihaela Rosca, Kate Parkyn
2020-12-09T05:00:00-08:00 - 2020-12-09T08:00:00-08:00
Responsible AI for healthcare at Google
Jessica Schrouff
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Spotlight on women at IBM Research
Lisa Amini, Francesca Rossi, Celia Cintas, Payel Das
2020-12-09T05:00:00-08:00 - 2020-12-09T11:00:00-08:00
Machine learning at Apple
Karla Vega
2020-12-09T11:00:00-08:00 - 2020-12-09T11:02:00-08:00
Introduction to invited speaker, Fernanda Viégas
Kristy Choi, Krystal Maughan
2020-12-09T11:02:00-08:00 - 2020-12-09T11:32:00-08:00
Communicating imperfection
Fernanda Viegas
2020-12-09T11:32:00-08:00 - 2020-12-09T11:40:00-08:00
Q&A for invited speaker, Fernanda Viégas
Fernanda Viegas
2020-12-09T11:40:00-08:00 - 2020-12-09T11:50:00-08:00
Accelerating 3D deep learning with PyTorch3D
Nikhila Ravi
2020-12-09T11:50:00-08:00 - 2020-12-09T12:00:00-08:00
Why language models can help with downstream tasks: A mathematical approach
Sadhika Malladi
2020-12-09T12:30:00-08:00 - 2020-12-09T14:00:00-08:00
Mentorship roundtables session
2020-12-09T14:00:00-08:00 - 2020-12-09T14:02:00-08:00
Introduction to invited speaker, Rediet Abebe
Kristy Choi, Krystal Maughan
2020-12-09T14:02:00-08:00 - 2020-12-09T14:32:00-08:00
Roles for computing in social justice
Rediet Abebe
2020-12-09T14:32:00-08:00 - 2020-12-09T14:40:00-08:00
Q&A for invited speaker, Rediet Abebe
Rediet Abebe
2020-12-09T14:40:00-08:00 - 2020-12-09T14:50:00-08:00
Unexpected effects of online k-means clustering
Michal Moshkovitz
2020-12-09T14:50:00-08:00 - 2020-12-09T15:00:00-08:00
Fairness under partial compliance
Jessica Dai
2020-12-09T15:00:00-08:00 - 2020-12-09T16:00:00-08:00
Poster session #2
2020-12-09T16:00:00-08:00 - 2020-12-09T16:02:00-08:00
Introduction to invited speaker, Anca Dragan
Kristy Choi, Krystal Maughan
2020-12-09T16:02:00-08:00 - 2020-12-09T16:32:00-08:00
Getting human-robot interaction strategies to emerge from first principles
Anca Dragan
2020-12-09T16:32:00-08:00 - 2020-12-09T16:40:00-08:00
Q&A for invited speaker, Anca Dragan
Anca Dragan
2020-12-09T16:40:00-08:00 - 2020-12-09T17:00:00-08:00
Concluding remarks from WiML's President
Sarah Osentoski
2020-12-09T17:00:00-08:00 - 2020-12-09T18:00:00-08:00
Informal post-workshop social