Search Results

All events WiML Virtual Workshop @ NeurIPS 2020 Virtual December 9, 2020 9:40 am - 2:30 pm The 15th annual Women in Machine Learning workshop will be virtually co-located with NeurIPS 2020 in December 2020. See the workshop website for details! The organizers are: Erin Grant, Xinyi Chen, Kristy Choi, Krystal Maughan, Judy Hanwen Shen, Xenia Miscouridou, Raquel Aoki, Belen Saldias, Mel Woghiren, Elizabeth Wood. Previous Next

All events WiML Workshop 2012 Lake Tahoe, Nevada December 3, 2012 08:00 am — 06:00 pm The 7th annual Women in Machine Learning workshop was colocated with NIPS 2012 in Lake Tahoe, Nevada in December 2012. The workshop website is no longer maintained. The organizers were: Tamara Broderick, Minmin Chen, Pallika Kanani, and Tejaswini Narayanan, with faculty advisor Raquel Urtasun. If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org Previous Next

All events WiML Luncheon @ ICML 2016 New York, New York June 21, 2016 12:00 pm — 02:00 pm WiML is hosting a luncheon at ICML 2016 in New York, New York. This event gives female faculty, research scientists, data scientist, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. Date: Tuesday, June 21, 2016, 12pm-2pm Venue: Microsoft building (5th floor), 11 Times Square, New York Registration: https://www.eventbrite.com/e/wiml-icml-luncheon-2016-tickets-25415537557# If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS -Silver- -Bronze- Previous Next

All events WiML Social @ ICLR 2022 Virtual April 25, 2022 7:00 pm - 9:00 pm A one hour Virtual Panel session (45 min + 15 min Q&A from the audience) which will take place on April 25th, 19:00-20:00 GMT. The topic of the panel will be the interplay of academia and geographic location. During the Virtual Panel we hope to encourage discussions about geographically specific challenges experienced in academia. To apply for registration funding go to: https://forms.gle/A6zyMdXt21kHQZNSA Moderated by Dr. Caroline Weis Panelists Include: Akiko Eriguchi, Senior Researcher, Microsoft. Akiko is a Senior Researcher at Microsoft.　Her research interests lie in multilingual NLP and deep learning. With her position in the Microsoft Translator team, she has developed MT systems and multilingual NLP applications. Her work has been published in ACL, EMNLP, etc. She has served as a reviewer for ACL, EMNLP, NeurIPS, AAAI. She is also a 2021-2022 co-organizer of the Workshop on Asian Translation. Prior to joining Microsoft, she was a Research Fellow (DC1) at the Japan Society for the Promotion of Science. She obtained her doctoral degree from the University of Tokyo, Japan, where her PhD thesis received the sixth AAMT Nagao Student award from the Asia-Pacific Association for Machine Translation. Nora Hollenstein, Assistant Professor, University of Copenhagen. Nora is an assistant professor in NLP & Cognitive Science at the University of Copenhagen. Before joining the Center for Language Technology at the University of Copenhagen, Nora was a PhD candidate at DS3Lab at ETH Zurich working on cognitively inspired natural language processing. She was also a lecturer at the Institute of Computational Linguistics of the University of Zurich. The focus of her research lies in enhancing NLP applications with cognitive data such as eye-tracking and brain activity recordings. She is especially interested in multi-modal learning, learning from limited data, and the interpretability and cognitive plausibility of machine learning models. Jessica Schrouff, Senior Research Scientist, Google Research. Jessica is a Senior Research Scientist at Google Research working on machine learning for healthcare. Before joining Google in 2019, she was a Marie Curie post-doctoral fellow at University College London (UK) and Stanford University (USA), developing machine learning techniques for neuroscience discovery and clinical predictions. Throughout her career, Jessica’s interests have lied not only in the technical advancement of machine learning methods, but also in critical aspects of their deployment such as their credibility, fairness, robustness or interpretability. Previous Next

All events WiML Workshop @ NeurIPS 2022 New Orleans, Louisiana November 28, 2022 7:30 am - 6:00 pm 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. Call for Participation Previous Next

All events WiML Luncheon @ CoRL 2019 Osaka, Japan November 1, 2019 12:00 pm — 01:30 pm WiML is hosting a luncheon at CoRL 2019 in Osaka, Japan to bring together women in machine learning from different research areas and across all stages of their careers to meet, find mentorship, and learn from each other. The invited speakers are Anca Dragan, Yukie Nagai, and Chelsea Finn. Date: Nov 1, 12-1:30pm Venue: Senri Hankyu Hotel Osaka Registration: https://www.eventbrite.com/e/wiml-at-corl-an-event-to-celebrate-the-women-in-the-corl-community-registration-77723345619 SPONSORS -Platinum- Previous Next

All events WiML Workshop 2016 Barcelona, Spain December 5, 2016 08:00 am — 05:00 pm The 11th annual Women in Machine Learning workshop will be colocated with NIPS 2016 in Barcelona, Spain in December 2016. See the workshop website for details! The organizers are: Diana Cai, Deborah Hanus, Sarah Tan, Isabel Valera, and Rose Yu. The invited speakers are: Jennifer Chayes, Maya Gupta, Anima Anandkumar, and Suchi Saria, with Tamara Broderick and Sinead Williamson giving remarks on WiML updates. Recorded talks can be found at this link . Previous Next

All events WiML Partner Event: Virtual Women in Science Fireside Chat with Amazon Virtual December 9, 2020 11:00 am - 12:30 pm WiML is excited to announce the Virtual Women in Science Fireside Chat by WiML Partner Amazon. Join some of Amazon’s top leaders and researchers in Machine Learning to learn about the valuable knowledge and experience of successful Women in Research at Amazon. These remarkable leaders from Alexa, Consumer and AWS will engage in a casual discussion on innovation, their career path and a Q&A. They are: Na Zhang, ML Science Manager, Customer Trust & Partner Support Vanessa Murdock, Manager Applied Science, Alexa Shopping Nashlie Sephus, Applied Science Manager, Rekognition and Video Katrin Kirchhoff, Senior Manager, Applied Science AWS Transcribe Priya Ponnapalli, Senior Manager, Data Science, AWS ML Solutions Lab These women will share their insights and experiences as women in science and will be covering topics such as navigating your career path, finding a mentor and work life balance. When: Wednesday, December 9th, 2020, 11am – 12.30pm PT Where: Virtual Registration: https://register.gotowebinar.com/register/4812705742642619918 Organized by Amazon. Amazon is a WiML Diamond Partner. Previous Next

All events WiML Mentorship Session @ KDD 2022 Washington DC August 15, 2022 3:30 pm - 5:00 pm The WiML Mentorship Session as part of the WOMEN IN KDD: TOWARDS GENDER EQUITY IN TECH WORKSHOP is happening on Monday, August 15th, 2022, in person as part of the SIGKDD 2022 conference in Washington, DC. The program will include a 90 minute mentorship roundtable session, taking place 3:30 to 5:00 pm EDT. For more information, please navigate to the session booklet here. Previous Next

All events WiML Un-Workshop @ ICML 2023 Honolulu, Hawai'i July 28, 2023 9:35 am - 10:50 am The 4th WiML Un-Workshop is co-located with ICML on Friday, July 28th, 2023. For more information or to register, please go here. Previous Next

All events WiML-CWS Social @ AISTATS 2022 Virtual March 29, 2022 6:00 pm - 7:00 pm Women in Machine Learning (WiML) and the Caucus for Women in Statistics (CWS) are excited to announce a 1-hour social event at AISTATS 2022 on Tuesday, 29 March, starting at 6 PM UTC. The event will start with a couple of icebreaker sessions to encourage networking among participants. In the main part of the event there will be a Q&A with WiML sponsors, WiML board members and CWS board members in an open format: participants are encouraged to come with questions on topics ranging from career advice, time-management, to conducting research topics. Event Format Agenda (all times approximate) 6:00 – 6:10 pm UTC – (10 min) Welcome and opening remarks 6:10 – 6:25 pm UTC – (15 min) small group discussions 6:25 – 6:55 pm UTC – (30 min) Q&A with WiML sponsors, WiML board members and CWS board members 6:55 – 7:00 pm UTC – (5 min) Closing remarks Joining Instructions How to join: You can find the Zoom link on the AISTATS portal: https://virtual.aistats.org/virtual/2022/affinity-event/3686 (AISTATS registration required to access). Event limited to 300 participants. Participant instructions: We suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. During the Q&A, you can type-in or verbally ask questions for WiML board members and/or our sponsors, so bring any questions you may have! Questions? Email workshop@wimlworkshop.org . By joining the event, you agree to abide by the AISTATS Code of Conduct and WiML Code of Conduct . SPONSORS -Platinum- Previous Next

All events WiML Virtual Roundtable @ CoRL 2020 Virtual November 18, 2020 6:00 am - 7:00 am WiML is hosting a virtual roundtable as part of the Inclusion@CoRL events at CoRL 2020. Date: November 18, 6am-7am PT Hosted by: Raia Hadsell, WiML board member and CoRL steering member Joining information: See https://www.robot-learning.org/attending/inclusioncorl/ . All CoRL attendees welcome; WiML code of conduct must be followed. Inclusion@CoRL will sponsor all registration fees for members of the research community which identify as part of historically underrepresented and/or underserved groups in robotics (including, but not limited to, LGBTQIA+, women or non-binary, differently abled, people of color, indigenous peoples, etc.). To apply for a sponsored registration, see https://www.robot-learning.org/attending/inclusioncorl or email inclusion@robot-learning.org for assistance. If you are a woman working in machine learning, regardless of whether you are attending CoRL or the WiML event, you can submit your resume to our WiML@CoRL 2020 resume book. The resume book will be shared with WiML sponsors. Submit here by November 18: https://forms.gle/ox4kZUxQ3PqeTVTV7 . SPONSORS -Platinum- -Diamond- Previous Next