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Chelsea Finn
Computer Science, PhD

This Lecture:

Unsupervised representation learning for few-shot learning
Part I: Contrastive learning
Part II (next time): Reconstruction-based methods
Relation to meta-learning.

Goals for the lecture:
- Understand contrastive learning: intuition, design choices, how to implement
- How contrastive learning relates to meta-learning