Hands-On Meta Learning with Python

CACTUs

We've seen how MAML helps us to find the optimal initial model parameter so that we can generalize it to many other related tasks. We've also seen how MAML is used in supervised and reinforcement learning settings. But how can we apply MAML in an unsupervised learning setting where we don't have labels for our data points? So, we introduce a new algorithm called CACTUS short for Clustering to Automatically Generate Tasks for Unsupervised Model Agnostic Meta Learning.

Let's say we have a dataset containing unlabeled examples: . Now, what ...