NTR Webinar: Self-supervised learning for sequential data

NTR organizes and hosts scientific webinars on neural networks and invites speakers from all over the world to present their recent work.

On May 17 Alexey Zaytsev, Skoltech, Moscow, Russia, presented a technical Zoom webinar on Self-Supervised Learning for Sequential Data.

About the webinar:

Representational learning using unlabeled data is an attractive option, because unlabeled data is more widespread and better describes the world.

The main focus of research in this area has been on creating self-supervised models for two modalities: images and videos. 

Alexey described the main approaches in this area, as well as for what other modalities you can and should apply self-supervised learning.

Slide deck link https://drive.google.com/file/d/1s4apwYyQH85YkEDb1lin2Cd4IWbOBSlY/view?usp=sharing

Moderator and contact: NTR CEO Nick Mikhailovsky: nickm@ntrlab.com.

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