Lecture 4 - Zero-shot, Few-shot and Unsupervised Learning
Teacher: Benjamin Devillers (ANITI)
Very important: due to a strong response in the community, we are splitting the class in 2 sessions. This page is for the advanced session, appropriate for students with prior training in Maths, Engineering and/or Computer Science. If you are here by mistake, go to [the main/basic session page].
Lecture video
View the recorded lecture here (this will only be available for approximately 6 weeks after the course)
Contents
- Zero-shot learning: learning without per-instance labels.
- Few-shot learning: learning with a few training examples.
- Unsupervised learning: learning without labels. Differences with zero-shot learning.
- Auto-encoders, contrastive learning
- Generative models: GANs, VAEs
Slides:
Access the slides here
Notebook
Access the collab notebook here