Bootstrapped Meta-Learning

Understand

Meta-learning empowers artificial intelligence to increase its efficiency by learning how to learn.

• Unlocking this potential involves overcoming a challenging meta-optimisation problem.
• We propose an algorithm that tackles this problem by letting the meta-learner teach itself.
• The algorithm first bootstraps a target from the meta-learner, then optimises the meta-learner by minimising the distance to that target under a chosen (pseudo-)metric.