Timezone: »
Since ICML 2020, WiML organizes so-called "un-workshops" at ICML. 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 the topical "breakout sessions"--where attendees are split into smaller groups, and 2-3 participants per each session---who are preselected prior to the event---lead each discussion on a predefined topic. In addition to the breakout sessions, the un-workshop will include short invited talks, casual informal poster presentations, and a mentoring session. 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 a one-page proposal to lead a breakout session on a certain research topic, and/or to submit a short abstract for the poster session. While all presenters will identify primarily as a woman and/or nonbinary, all genders are invited to attend and participate in the discussions.
Mon 5:30 a.m. - 5:45 a.m.
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Introduction and Opening Remarks
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Presentation
)
SlidesLive Video » |
Vinitra Swamy 🔗 |
Mon 5:45 a.m. - 6:10 a.m.
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Invited Talk: Yixin Wang
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Invited Talk
)
link »
SlidesLive Video » |
Yixin Wang 🔗 |
Mon 6:10 a.m. - 7:10 a.m.
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Breakout Session 1 - Deep Generative Models for Electronic Health Records.
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Breakouts + Discussion
)
link »
Leader: Ghadeer Ghosheh, Co-leader: Tingting Zhu. |
🔗 |
Mon 6:10 a.m. - 7:10 a.m.
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Breakout Session 1 - Affective Computing: A Computational Perspective
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Breakouts + Discussion
)
link »
Leader: Shreya Ghosh, Co-lead: Garima Sharma, Facilitator: Parul Gupta |
🔗 |
Mon 6:10 a.m. - 7:10 a.m.
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Breakout Session 1 - Introducing geometry awareness in deep networks
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Breakouts + Discussion
)
link »
Leader: Ankita Shukla, Facilitator: Sinjini Mitra |
🔗 |
Mon 7:10 a.m. - 7:40 a.m.
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Poster Session 1
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Posters
)
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Asra Aslam · Sowmya Vijayakumar · Heta Gandhi · Mary Adewunmi · You Cheng · Tong Yang · Kristina Ulicna · · Weiwei Zong · Narmada Naik · Akshata Tiwari · Ambreen Hamadani · Mayuree Binjolkar · Charupriya Sharma · Chhavi Yadav · Yu Yang · Winnie Xu · QINGQING ZHAO · Julissa Giuliana Villanueva Llerena · Lilian Mkonyi · Berthine Nyunga Mpinda · Rehema Mwawado · Tooba Imtiaz · Desi Ivanova · Emma Johanna Mikaela Petersson Svensson · Angela Bitto-Nemling · Elisabeth Rumetshofer · Ana Sanchez Fernandez · Garima Giri · Sigrid Passano Hellan · Catherine Ordun · Vasiliki Tassopoulou · Gina Wong
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Mon 7:10 a.m. - 7:10 a.m.
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[Poster] Detecting Objects in Less Response Time for Processing Multimedia Events in Smart Cities
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Poster Session
)
SlidesLive Video » |
Asra Aslam 🔗 |
Mon 7:10 a.m. - 7:10 a.m.
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[Poster] CNN-based Emotion Recognition from Multimodal Peripheral Physiological Signals
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Poster Session
)
SlidesLive Video » |
Sowmya Vijayakumar 🔗 |
Mon 7:10 a.m. - 7:10 a.m.
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[Poster] Cancer Health Disparities drivers with BERTopic and Pycaret Evaluation
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Poster Session
)
SlidesLive Video » |
Mary Adewunmi 🔗 |
Mon 7:10 a.m. - 7:10 a.m.
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[Poster] A Recurrent Neural Network Model of Travel Direction in Humans
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Poster Session
)
SlidesLive Video » |
You Cheng 🔗 |
Mon 7:40 a.m. - 8:05 a.m.
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Invited Talk: Emma Brunskill ( Invited Talk ) link » | Emma Brunskill 🔗 |
Mon 8:05 a.m. - 9:05 a.m.
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Breakout Session 2 - Knowledge Distillation through the lense of the capacity gap problem
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Breakouts + Discussion
)
link »
Leader: Ibtihel Amara, Co-lead: Samrudhdhi Rangrej, Zahra Vaseqi |
🔗 |
Mon 8:05 a.m. - 9:05 a.m.
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Breakout Session 2 - Improving AI Education
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Breakouts + Discussion
)
link »
Leader: Mary Smart, Co-lead: Stefania Druga |
🔗 |
Mon 8:05 a.m. - 9:05 a.m.
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Breakout Session 2 - Statistical Inference & Applications to Machine Learning
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Breakouts + Discussion
)
link »
Leader: Lilian Wong, Co-lead: Po-ling Loh |
🔗 |
Mon 9:05 a.m. - 10:05 a.m.
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Virtual Mentor Panel
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Presentation
)
SlidesLive Video » |
🔗 |
Mon 10:00 a.m. - 11:40 a.m.
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Virtual sponsor booth: D.E. Shaw Research
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Virtual Sponsor Booth
)
link »
--- Virtual Only --- To visit the virtual booth of D.E. Shaw Research, use this link within the time slot 1pm-2:40pm, Monday July 18. |
🔗 |
Mon 10:00 a.m. - 11:40 a.m.
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Virtual sponsor booth: Home Depot
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Virtual Sponsor Booth
)
link »
To visit the virtual booth of Home Depot, use this link within the time slot 1pm-2:40pm, Monday July 18. |
🔗 |
Mon 10:00 a.m. - 11:40 a.m.
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Virtual sponsor booth: Microsoft Research
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Virtual Sponsor Booth
)
link »
To visit the virtual booth of Microsoft Research, use this link within the time slot 1pm-2:40pm, Monday July 18. |
🔗 |
Mon 10:00 a.m. - 11:30 a.m.
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Virtual sponsor booth: DeepMind
(
Virtual Sponsor Booth
)
link »
To visit the virtual booth of DeepMind, use this link within the time slot 1pm-2:40pm, Monday July 18. |
🔗 |
Mon 10:05 a.m. - 11:30 a.m.
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Lunch w/ NewInML
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Mon 11:40 a.m. - 11:55 a.m.
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[QuantumBlack] QuantumBlack Labs – Harnessing the power of Hybrid Intelligence
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Presentation (Sponsor)
)
SlidesLive Video » |
Maria Olivia Lihn 🔗 |
Mon 11:55 a.m. - 12:10 p.m.
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[Meta Platforms] Building embodied agents that can learn from their environments and humans
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Presentation (Sponsor)
)
SlidesLive Video » |
Kavya Srinet 🔗 |
Mon 12:10 p.m. - 12:25 p.m.
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[Apple] Machine Learning at Apple
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Presentation (Sponsor)
)
SlidesLive Video » |
Tatiana Likhomanenko 🔗 |
Mon 12:25 p.m. - 12:25 p.m.
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[D. E. Shaw Research] Machine Learning Initiative at D. E. Shaw Research
(
Virtual Presentation (Sponsor)
)
SlidesLive Video » |
Jocelyn Sunseri 🔗 |
Mon 12:25 p.m. - 12:25 p.m.
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[Home Depot] Adaptively Optimize Content Recommendation Using Multi Armed Bandit (MAB) Algorithms in E-Commerce
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Virtual Presentation (Sponsor)
)
SlidesLive Video » |
Rebecca West 🔗 |
Mon 12:25 p.m. - 1:25 p.m.
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Breakout Session 3 - Machine Learning for Physical Sciences
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Breakouts + Discussion
)
link »
Leader: Taoli Cheng, Facilitator: Rupali Bhati. Webpage: https://taolicheng.github.io/Women-in-Science/WiML-ML4PS |
🔗 |
Mon 12:25 p.m. - 1:25 p.m.
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Breakout Session 3 - Limitations of explainable/interpretable NLP: frontiers and boundaries for future advancement
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Breakouts + Discussion
)
link »
Leader: Haoyu Du, Co-lead: Peiyuan Zhou, Annie Lee, Rainah Khan, Facilitator: Howard Kuo ZOOM PASSCODE: 923631 |
🔗 |
Mon 12:25 p.m. - 1:25 p.m.
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Breakout Session 3 - Detection of Unseen Classes of different Domains using Computer Vision
(
Breakouts + Discussion
)
link »
Leader: Asra Aslam, Facilitator: Sana Alamgeer |
🔗 |
Mon 1:30 p.m. - 2:00 p.m.
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Poster Session 2
(
Poster Session
)
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Asra Aslam · Sowmya Vijayakumar · Heta Gandhi · Mary Adewunmi · You Cheng · Tong Yang · Kristina Ulicna · · Weiwei Zong · Narmada Naik · Akshata Tiwari · Ambreen Hamadani · Mayuree Binjolkar · Charupriya Sharma · Chhavi Yadav · Yu Yang · Winnie Xu · QINGQING ZHAO · Julissa Giuliana Villanueva Llerena · Lilian Mkonyi · Berthine Nyunga Mpinda · Rehema Mwawado · Tooba Imtiaz · Desi Ivanova · Emma Johanna Mikaela Petersson Svensson · Angela Bitto-Nemling · Elisabeth Rumetshofer · Ana Sanchez Fernandez · Garima Giri · Sigrid Passano Hellan · Catherine Ordun · Vasiliki Tassopoulou · Gina Wong
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Mon 1:30 p.m. - 1:30 p.m.
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[Poster] Solving Constrained Variational Inequalities via an Interior Point Method
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Poster Session
)
SlidesLive Video » |
Tong Yang 🔗 |
Mon 1:30 p.m. - 1:30 p.m.
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[Poster] Cell Segmentation and Classification in Multispectral Pathology Images, Exploration and Challenges
(
Poster Session
)
SlidesLive Video » |
Narmada Naik 🔗 |
Mon 1:30 p.m. - 1:30 p.m.
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[Poster] Non-invasive Stress Monitoring from Video for Semi-Autonomous Systems
(
Poster Session
)
SlidesLive Video » |
Akshata Tiwari 🔗 |
Mon 2:00 p.m. - 2:25 p.m.
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Invited Talk: Celestine Mendler-Dunner
(
Invited Talk
)
SlidesLive Video » |
Celestine Mendler-Dünner 🔗 |
Mon 2:25 p.m. - 3:25 p.m.
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Panel Discussion
(
Panel
)
SlidesLive Video » |
🔗 |
Mon 3:25 p.m. - 3:40 p.m.
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Closing Remarks
(
Presentation
)
SlidesLive Video » |
🔗 |
Author Information
Vinitra Swamy (EPFL)
Paula Gradu (UC Berkeley)
Mojgan Saeidi (UT)
Noor Sajid (University College London)
Shweta Khushu (SkySpecs Inc)
Shweta is a Sr. Engineer and Growth Lead of the AI team at SkySpecs. She received her MS degree in ECE from University of Michigan in 2016 with a specialization in Machine Learning and Image Processing. She is passionate about solving real-world problems challenging humankind using Artificial Intelligence, especially Computer Vision. Application of these techniques in the wind space has been her primary focus at work. She is also one of the 15 participants of the 2021 Women in Wind Global Leadership Program organized by the Global Wind Energy Council (GWEC) in partnership with Global Women’s Network for the Energy Transition (GWNET). Additionally, she volunteers with Climate Mind, a non-profit building a web application designed to make conversations about climate change easier.
Giulia Clerici (Università degli Studi di Milano)
Tatjana Chavdarova (UC Berkeley)
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