[meetings] RSS 2020 (Virtual) Workshop on Self-Supervised Robot Learning - Program, Registration, Soliciting questions for panel
Abhinav Valada
Dear All,
The RSS 2020 Workshop on Self-Supervised Robot Learning (http://blbt.uni-freiburg.de/rss20-ssrl) will be held virtually on July 13th 2020, 12:00 - 16:00 PT. Please visit the website for registration details and the schedule. The accepted papers are now online and available for download on the workshop's website (http://blbt.uni-freiburg.de/rss20-ssrl/accepted-papers).
We have a fantastic lineup of speakers and panelists. We are collecting questions and topics to be discussed by the panel. Please contribute to this list by filling the following form with your input: https://forms.gle/RAKjg6FGYLTAYbvF6. Please also use the same form to ask questions to the authors of the contributed papers. During the live sessions, we will try to address all your pre-submitted questions as well as moderated live questions. All the contributed paper talks will be available online on the workshop's website and Youtube channel on 9th July 2020. Please watch the pre-recorded talks before the workshop and discuss the work during the live Q&A sessions and via Slack.
Overview
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Self-supervised learning is a promising direction that aims to
learn representations from the data itself without explicit
and potentially even manual supervision. One of the major
benefits of self-supervised learning is the ability to scale
to large amounts of unlabelled data in a lifelong learning
manner and to improve performance by reducing the effect of
dataset bias. Recent development in self-supervised learning
has resulted in achieving comparable or better performance
than fully-supervised models. However, many of these methods
are developed in domain-specific communities such as robotics,
computer vision or reinforcement learning. The aim of this
workshop is to bring together researchers from different
communities to discuss opportunities, challenges and explore
new directions.
Invited Speakers and Panelists
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- Pieter Abbeel (UC Berkeley & Covariant.AI)
- Dieter Fox (University of Washington & NVIDIA)
- Abhinav Gupta (CMU & Facebook AI Research)
- Roberto Calandra (Facebook AI Research)
- Chelsea Finn (Stanford University)
- Pierre Sermanet (Google Brain)
- Andy Zeng (Google Brain)
Organizing Committee
==================
- Abhinav Valada, University of Freiburg
- Anelia Angelova, Google Research/Google Brain
- Joschka Boedecker, University of Freiburg
- Oier Mees, University of Freiburg
- Wolfram Burgard, University of Freiburg
We are looking forward to your participation.
Best,
Abhinav (on behalf of the organizers)