
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
Exploring Self-Supervised Learning and Multimodal Predictions
This chapter discusses self-supervised learning, highlighting its ability for machines to predict missing data using examples like incomplete videos and text. It further explores the versatility of this method, its implications for multimodal predictions, and the limitations of traditional models in handling complex inputs.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.