About this document

Project by Arun 12345 is a document available to read on EtoBox.

The document discusses the differences between traditional self-supervised learning (SSL) methods, particularly contrastive approaches, and energy-based models (EBMs) in SSL. It highlights the strengths and weaknesses of each paradigm, emphasizing that while traditional SSL is empirically dominant, EBMs offer a more principled probabilistic foundation. The paper concludes with the potential for hybrid approaches that combine the advantages of both methods for future advancements in self-supervised learning.

Author

Arun 12345

Language

EN