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ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Energy-Based Models in Machine Learning

This chapter examines the complexities and roles of energy-based models in machine learning, highlighting the separation between inference and learning phases. It discusses the application of energy functions in logical statements and the relationship between various methodologies, such as K-means and GANs. Through a critical lens, the chapter emphasizes the significance of self-supervised learning and the need for deeper theoretical insights into these models.

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