[Back to joint meetups]
The Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field.
We are back for our 36th edition!
It will be a very special edition, as it’s a joint meetup with the Dakar chapter!
All genders may attend our meetups.
19:30 – Introduction by the Dakar & the Paris WiMLDS teams
19:40 – “Few-shot Image Generation using Scene Graphs” by Azade Farshad - Research Scientist at Technical University of Munich (@TU_Muenchen)
Abstract: In this talk, we present "Meta Image Generation using Scene Graphs". It focuses on the few-shot generation of scenes in the wild using meta-learning and improving the quality of image generation using scene graphs.
20:10 – “Neural Machine Translation for low resource languages: Use case anglais - wolof“ by Sokhar Samb - Data scientist at @THEOLEX
Abstract : We will dive into the different steps of developing a Wolof-English machine translation using JoeyNMT using the benchmark from Masakhane NLP.
20:40 - Quick interactive session
During the event, you can share content using #WiMLDSParis, @WiMLDS_Paris & @WiMLDS_Dakar
After the meet-up, all the slides will be available on our Medium page : https://medium.com/@WiMLDS_Paris
Online meetup information :
WiMLDS is strongly inviting you to read our guidelines about organizing pleasant and successful online meetups : https://github.com/WiMLDS/online-meetups
Code of Conduct
WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.
Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct