The geometry of self-supervised learning models and its impact on Transfer learning
Published in In review., 2022
The recent popularity of SSL has led to the development of several models that make use of diverse training strategies, architectures, and data augmentation policies with no existing unified framework to study or assess their effectiveness in transfer learning. Read more