Date / Heure
Date(s) - 14/06/2019
12h30 - 14h30

Emplacement
Algolia 55 Rue d'Amsterdam · Paris

Catégories

Zero, one or few shot learning is the new thing. The marriage between ML and big data is considering a divorce. Have we reached peak big data? We’ll discuss the ever growing list of domains where models use a few shots or less.

We meet every Friday for a peer-to-peer discussion of a pre-selected machine learning research paper. The paper and discussion is in English. Tuesdays we meet to discuss applied topics.

Following will be frequently updated.

Discussion:

1. Can AI approach human ability to generalize from few examples?

2. Can AI models surpass human ability to learn from a few shot learning?

3. How important will transfer learning become to few shot modeling?

Papers:

1. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models: https://arxiv.org/abs/1905.08233

2. Fun with Snapchat’s Gender Swapping Filter: https://blog.evjang.com/2019/05/fun-with-snapchats-gender-swapping.html

3. NVIDIA AI Enables Low-Data Face Swap for Pets: https://medium.com/syncedreview/nvidia-ai-enables-low-data-face-swap-for-pets-56ba3be78ec0

Videos:

1. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models: https://www.youtube.com/watch?v=p1b5aiTrGzY&feature=youtu.be

https://www.meetup.com/fr-FR/Paris-Machine-Learning-Study-Group-in-English-Meetup/events/mmzcqqyzjbsb/