Block 2 : Robust deep learning

1. Week 1: Bayesian models

• Course 1

• Practical session 1 : Bayesian linear regression

2. Week 2: Bayesian deep learning

• Course 2

• Practical session 2: MC droupout

3. Week 3: Application of uncertainty

• Course 3

• Practical session 3: Failure prediction and OOD detection

4. Week 4: Explainability

• Course 4

• Practical session 4: Explainability with LIME

5. Week 5: Stability, generalization

• Course 5

• Practical session 5: Adversarial robustness