#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
Lex Fridman Podcast
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Exploring Self-Supervised Learning Paradigms
This chapter examines various machine learning paradigms, particularly focusing on self-supervised learning. It discusses the limitations of supervised learning and highlights how self-supervised methods allow models to learn from data without human annotations. Practical examples from natural language processing and computer vision illustrate the significance of self-supervised learning in enhancing model understanding and prediction capabilities.
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