Lec 17. Generalization: Out-of-Distribution (OOD)

MIT 6.7960 Deep Learning, Fall 2024 Instructor: Sara Beery View the complete course: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8 This video explores out-of-distribution (OOD) generalization, focusing on challenges like adversarial robustness and handling distribution shifts in models. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.