Contrastive Self-Supervised Learning in 2022
How contrastive self-supervised learning evolved in 2022 both experimentally and theoritically. ⚠️ Work In Progress ⚠️
Manuel A. Fokam
Master’s Student in Computer Science
My research interests revolve around self-supervised learning, deep learning. I’m currently trying to answer the following question.
“How can we make neural networks more powerful with less human intervention?"