Self-Supervised Learning
The discussion delves into the intersection of self-supervised learning and model-based approaches, highlighting their potential synergy within deep learning frameworks. Insights reveal a growing interest in integrating physics-based models and other domain-specific methodologies, suggesting a promising future for enhanced learning techniques.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186
Related Questions
Is deep learning a scientific practice as discussed in the episode Yann LeCun on his Start in Research and Self-Supervised Learning and the clip Deep Learning's Alchemical Nature?
Should we rely on mathematical models as discussed in the episode Mindscape 280 | François Chollet on Deep Learning and the Meaning of Intelligence and the clip Foundation Models Insights?
How can we understand the workings of cognition as discussed in the episode Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258 and the clip Predictive Intelligence Mechanisms?