
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
The Challenges and Future of Self-Supervised Learning
This chapter examines self-supervised learning and its effectiveness in high-dimensional continuous spaces versus discrete contexts like NLP. It highlights the limitations of existing predictive models, promoting energy-based models, and discusses the varied nature of intelligence across species.
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