Theories, Applications, and Cross Modality for
Self-Supervised Learning Models

ICPR 2022 Workshop

Workshop Overview

Self-supervised learning has recently seen remarkable processes across various domains. The goal of SSL method is to learn useful semantic features without any human annotations. In the absence of human-defined labels, the deep network is expected to learn richer feature structures explained by the data itself. There are many works across different modalities showing the empirical success of the SSL learning approaches. However, many questions are still lingering: is it possible to view self-supervised learning across different modalities in a unifying view? Is it possible to find the inherent connection between successful vision architectures and NLP architectures? How to interpret these connections? What mechanism essentially matters during the SSL feature learning procedure when we change data modalities?

There are recently some emerging works starting to pay attention to these issues. However, the complete answer to the above questions still remains elusive and challenging. This workshop aims to approach the mysteries behind SSL from both theoretical and practical perspectives. We expect to invite experts from different communities and share their thoughts on how self-supervised learning approaches across different domains are connected and how they can potentially improve each other.

Topics Covered:

• Theories of SSL models
• SSL for computer vision tasks
• SSL for NLP tasks
• SSL for time series
• SSL for graph models
• Deep architecture design for SSL tasks
• Cross modality models for SSL approaches
• Other relevant SSL topics

Call for papers

Important Dates

• Workshop paper submission deadline: May 15, 2022, 03:00 pm Pacific Time May 20, 2022, 03:00 pm Pacific Time.
• Notification to authors: May 23, 2022, 03:00 pm Pacific Time May 27, 2022, 03:00 pm Pacific Time.
• Camera-ready deadline: June 6, 2022, 03:00 pm Pacific Time.

Submission instructions

We are following the ICPR 2022 paper format: https://www.icpr2022.com/submission-guidelines/.

LaTeX/Word Templates: LaTeX / Word.

All papers will be reviewed by at least two reviewers with single-blind peer review policy. Papers will be selected based on relevance, significance and novelty of results, technical merit, and clarity of presentation. Papers will be published in ICPR proceedings.

Submission website

Please submit your papers through https://cmt3.research.microsoft.com/SSL2022.

Schedule (Pacific Time Zone)

Invited Speakers

Coming soon...

Organizers

Contact

To contact the organizers please use icpr2022.ssl@gmail.com

Acknowledgements

Thanks to visualdialog.org for the webpage format.