MIT 6.S191 (2021): Deep Learning New Frontiers

MIT Introduction to Deep Learning 6.S191: Lecture 6
Deep Learning Limitations and New Frontiers
Lecturer: Ava Soleimany
January 2021

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ – Introduction
1:11​ – Course logistics
3:48​ – Upcoming hot topics and guest lectures
6:56​ – Deep learning and expressivity of NNs
10:02​ – Generalization of deep models
14:03 – Neural network failure modes
18:43 – Uncertainty in deep learning
22:41​ – Adversarial attacks
26:35 – Algorithmic bias
27:27​ – Limitations summary
28:29​ – Structure in DL
29:46 – Learning on graphs
37:50 – Learning on 3D pointclouds
39:58​ – Automated Machine Learning (AutoML)
48:03 – Conclusion


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