We invite submissions of papers studying the theory and practice of self-supervised learning. The topics include but are not limited to:

• Theoretical foundations of SSL
• SSL for computer vision, natural language processing, robotics, speech processing, time-series analysis, graph analytics, etc.
• Sample complexity of SSL methods
• Theory-driven design of auxiliary tasks in SSL
• Comparative analysis of different auxiliary tasks
• Comparative analysis of SSL and supervised approaches
• Information theory and SSL
• SSL for healthcare, social media, neuroscience, biology, social science, etc.
• Cognitive foundations of SSL

We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Papers should be up to 4 pages in length (excluding references) formatted using the NeurIPS template. All the submissions should be anonymous. An optional appendix can be added in the submission, after references. There is no page limit for appendix. The accepted papers are allowed to get submitted to other conference venues. This workshop has no archival proceedings.

Contact: sslneurips2024@gmail.com

Paper submission at OpenReview

Important Dates

Abstract Registration Deadline: Sep 1117, 23:59 AoE
Paper Submission Deadline: Sep 1419, 23:59 AoE
Review Deadline: Oct 0608, 23:59 AoE
Author Notification: Oct 0912, 23:59 AoE
Camera-ready Papers Due: Oct 28, 23:59 AoE