Workshop: Learning Representations with Limited Supervision

Overview

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.

Program Chair

Shaif Chowdhury, Baylor University

Presentation Schedule

Date: December 08
Session: Afternoon, 2–4 PM