MIT 6. S191, 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: 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 Subscribe to stay up to date with new deep learning lectures at MIT, or follow us MITDeepLearning on Twitter and Instagram to stay fullyconnected