 The term meta-learning refers to the process by which a learner adjusts to a new challenge by modifying an algorithm with known parameters. The algorithms parameters are meta-learned by measuring the learners progress and adjusting accordingly. There is a lot of empirical support for this framework. It has been utilized in various contexts, including meta-learning, ... Latest Machine Learning Research From Deepmind Explores The... 