Self-supervised learning is an exciting research 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.
The focus topics of our workshop include, but are not restricted to:
We encourage participants to submit their research in the form of a single PDF. Submissions may be up to 4 pages in length, including figures, excluding references and any supplementary material. Please use the RSS conference template. Accepted papers will be presented in a poster session and selected awards papers as spotlight talks. All submitted contributions will go through a single blind review process. The contributed papers will be made available on the workshop’s website and selected papers will be invited for a special issue of a major robotics journal.
Submission Website: https://easychair.org/conferences/?conf=ssrl20
LaTeX Template: https://roboticsconference.org/docs/paper-template-latex.tar.gz
In order to make acceptance decisions early, we request interested researchers to submit a single page extended abstract by 19th April as an expression of interest. The authors would then have time 2nd July to include new results and submit the full 4 page paper. We also welcome submissions that have already been accepted to RSS or other major conferences and journal papers that have not been discussed in a conference.
There is currently some uncertainty around travel due to COVID-19, however, there is no cause for concern in the region where RSS is taking place. Nevertheless, we plan to give participants and presenters teleconferencing options.
|April 19th, 2020 (AOE)||One page submission deadline|
|April 24th, 2020||Notification of acceptance|
|July 2nd, 2020 (AOE)||Full paper submission|
|July 13th, 2020||Workshop|
|Oregon State University, Corvallis OR, USA|
|08:00-08:15||Welcome and Introductory Remarks (Organizers)|
|08:15-08:45||Invited Talk 1|
|08:45-09:15||Invited Talk 2|
|09:15-09:45||Invited Talk 3|
|13:30-14:00||Invited Talk 4|
|14:00-14:30||Invited Talk 5|
|14:30-15:00||Invited Talk 6|
|15:00-15:30||Invited Talk 7|
|16:00-16:30||Invited Talk 8|
|16:30-17:00||Invited Talk 9|