Name: 36. Dakar & Paris WiMLDS Online Meetup
Start: 2022-02-08T19:30:00+01:00
End: 2022-02-08T21:00:00+01:00

[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.

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Agenda

19:30 – Introduction by the Dakar & the Paris WiMLDS teams

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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.

Twitter: @azadef

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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.

Twitter: @SambSokhar

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20:40 - Quick interactive session

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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

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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

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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

Caroline Chavier

Chloe

Marie S

ncernecka

Paris Women in Machine Learning & Data Science

Technology

Data Science

Data Mining

Machine Learning

Big Data

Open Source

Women in Technology

Data Management

Professional Women

Data Analytics

Data Visualization

Predictive Analytics

Artificial Intelligence

WiMLDS

36. Dakar & Paris WiMLDS Online Meetup

Online event

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Paris Women in Machine Learning & Data Science

36. Dakar & Paris WiMLDS Online Meetup

Paris Women in Machine Learning & Data Science

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