Self-supervised Seminar

Abstract

This seminar focuses primarily on important topics in deep learning, specifically self-supervised learning. The topics will range from an introduction to self-supervised learning to the latest advancements. We also welcome individuals from related fields to share their insights, such as transfer learning, meta-learning, and so on. Depending on our progress, some signigicant and parctical topics like optimizers and backbones may also incorporated as additional sessions.

Xunyi Jiang

Master of Science in CS @ 🇺🇸UCSD
BS in Data Science @ 🇨🇳SUSTech

My research interests include audio-vision models, AI for creativity🎻, and controlable AI generation.