We are hoping to organize the next version of this workshop in Arizona as part of IEEE BigData 2026 with the same title.
This workshop explores cutting-edge techniques in representation learning with minimal labels. It welcomes contributions on self-supervised learning, transfer learning, in-context learning, and applications to domains with limited labeled data such as underwater and medical imaging.
For details on the previous workshop, including the presented papers, please visit the 2025 Workshop Details page.
If you are interested in participating in the 2026 workshop in any capacity, please fill out the form below: