Multi-task Learning, transfer learning basics.

Meta-learning Algorithms

• Black-box approches.

• Optimization-based meta-learning.

• Metric Learning.

Advanced meta-learning topics.

• Meta-overfitting.

• Unsupervised meta-learning.

• Bayesian models.

Unsupervised pre-training for few-shot learning.

Relation to foundation models and in-context learning.

Domain adoptation and generalization.

Lifelong learning.

Open Problems