Completed
- Introduction and motivation
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Evidential Deep Learning and Uncertainty
Automatically move to the next video in the Classroom when playback concludes
- 1 - Introduction and motivation
- 2 - Outline for lecture
- 3 - Probabilistic learning
- 4 - Discrete vs continuous target learning
- 5 - Likelihood vs confidence
- 6 - Types of uncertainty
- 7 - Aleatoric vs epistemic uncertainty
- 8 - Bayesian neural networks
- 9 - Beyond sampling for uncertainty
- 10 - Evidential deep learning
- 11 - Evidential learning for regression and classification
- 12 - Evidential model and training
- 13 - Applications of evidential learning
- 14 - Comparison of uncertainty estimation approaches
- 15 - Conclusion
