Chapter
Exploring Self-supervised and Semi-supervised Learning
06:16 - 12:40 (06:23)
The podcast discusses different learning paradigms including self-supervised and semi-supervised learning, which overcome some of the challenges of traditional supervised learning.
Clips
Lex Fridman discusses a variety of topics with Ishan Misera on his podcast.
06:16 - 07:30 (01:14)
Lex Fridman
Summary
Lex Fridman discusses a variety of topics with Ishan Misera on his podcast.
ChapterExploring Self-supervised and Semi-supervised Learning
Episode#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
PodcastLex Fridman Podcast
The problem with supervised learning is that it doesn't scale well.
07:31 - 09:59 (02:28)
Semi-Supervised Learning
Summary
The problem with supervised learning is that it doesn't scale well. Semi-supervised learning utilizes both labeled and unlabeled data, making it a more efficient and effective method for machine learning.
ChapterExploring Self-supervised and Semi-supervised Learning
Episode#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
PodcastLex Fridman Podcast
Self-supervised learning is a paradigm where the data itself provides the supervision signal for a learning algorithm.
09:59 - 12:40 (02:41)
Self-Supervised Learning
Summary
Self-supervised learning is a paradigm where the data itself provides the supervision signal for a learning algorithm. This allows for training models on large amounts of unlabeled data, and is a form of semi-supervised learning.