Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

00:00

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.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app