Self-Supervised Learning - Towards Autonomously Learning Machines

Explore the concept of self-supervised learning in artificial intelligence through this 31-minute conference talk. Delve into the evolution of machine learning techniques, starting from supervised learning and progressing to more advanced approaches. Gain insights into the challenges of labeling data and the potential of reinforcement learning. Discover how self-supervised learning aims to create autonomously learning machines, and understand its practical applications in the field of AI. Learn about the benefits and implications of this cutting-edge approach for developing more intelligent and adaptable systems.

Introduction
Artificial Intelligence
Supervised Learning
Labelling
Reinforcement Learning
General Understanding
Machine Learning
Supervised ML
What do we gain
In practice