Lex Fridman Podcast
#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
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Show Notes
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Ishan Misra is a research scientist at FAIR working on self-supervised visual learning. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
() – Introduction
() – Self-supervised learning
() – Self-supervised learning is the dark matter of intelligence
() – Categorization
() – Is computer vision still really hard?
() – Understanding Language
() – Harder to solve: vision or language
() – Contrastive learning & energy-based models
() – Data augmentation
() – Fixed audio spike by lowering sound with pen tool
() – Real data vs. augmented data
() – Non-contrastive learning energy based self supervised learning methods
() – Unsupervised learning (SwAV)
() – Self-supervised Pretraining (SEER)
() – Self-supervised learning (SSL) architectures
() – VISSL pytorch-based SSL library
() – Multi-modal
() – Active learning
() – Autonomous driving
() – Limits of deep learning
() – Difference between learning and reasoning
() – Building super-human AI
() – Most beautiful idea in self-supervised learning
() – Simulation for training AI
() – Video games replacing reality
() – How to write a good research paper
() – Best programming language for beginners
() – PyTorch vs TensorFlow
() – Advice for getting into machine learning
() – Advice for young people
() – Meaning of life
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