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Lec 12. Representation Learning: Similarity-Based

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Feb 11, 2026
1:16:20

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 covers similarity-based representation learning, including metric learning, contrastive learning, self-supervised and supervised methods, InfoNCE loss, alignment and uniformity principles, and the role of hard negatives. 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.

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