Meta Learning
Meta-learning, often described as 'learning to learn,' is a machine learning paradigm in which a model is trained across a distribution of many different tasks so that it can rapidly adapt to a new, previously unseen task using only a small number of examples or update steps.
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Glossary Terms(4)
Curriculum Learning
Curriculum learning is a training strategy in which a model is presented with training examples in a deliberately structured order — typically progressing from…
Active Learning
Active learning is a machine learning training approach in which the model (or an associated selection algorithm) actively selects which unlabeled examples sho…
Meta-Learning
Meta-learning, often described as 'learning to learn,' is a machine learning paradigm in which a model is trained across a distribution of many different tasks…
Continual Learning
Continual learning (also called lifelong learning) is the study and practice of training a model on a sequence of tasks or data distributions over time such th…