Self-Supervised Learning

Yann discusses the concept of self-supervised learning, emphasizing its distinction from traditional unsupervised methods. He explains how machines can be trained to reconstruct inputs or predict missing elements, using examples from natural language processing and video prediction. This approach holds significant promise for advancing machine understanding and capabilities.