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Meta-Learning Algorithms

6 methods 259 papers tagged archive 2025-07-28

Meta-Learning methods are methods that learn to learn. An example is few-shot meta-learning methods which aim to quickly adapt to a new task with only a few datapoints. Below you can find a continuously updating list of meta-learning methods.

Methods

All 6 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.

MAML Model-Agnostic Meta-Learning – 232
MEND MODEL EDITOR NETWORKS WITH GRADIENT DECOMPOSITION – 11
MeRL Meta Reward Learning – 10
OCD Overfitting Conditional Diffusion Model – 9
Meta-augmentation – 4
KIP Kernel Inducing Points – 3