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.
Shaif Chowdhury, Baylor University
Date: December 08
Session: Afternoon, 2–4 PM
Timezone: American/Chicago
| Time | Topic / Paper |
|---|---|
| 2:00 PM | Introduction |
| 2:10 PM | Few-Shot Learning with Pretrained Visual Embeddings of Eye-Tracking Patterns for Autism Detection |
| 2:30 PM | Residual GRU+MHSA: A Lightweight Hybrid Recurrent–Attention Model for Cardiovascular Disease Detection |